Hostname: page-component-cd9895bd7-7cvxr Total loading time: 0 Render date: 2024-12-21T16:03:55.047Z Has data issue: false hasContentIssue false

The outcomes of imagery-focused interventions in relation to distress in people with delusions: a systematic literature review

Published online by Cambridge University Press:  23 September 2024

Aimee J. J. Cairns
Affiliation:
Lancaster University, Health Innovation Campus, Bailrigg, Lancaster, UK Greater Manchester Mental Health NHS Foundation Trust, Manchester, UK
Christopher D. J. Taylor
Affiliation:
Community Mental Health Team, Bury, Pennine Care NHS Foundation Trust, Secondary Care, Humphrey House, Bury, UK Department of Psychology, Faculty of Science, University of Sheffield, Sheffield, UK
James A. Kelly*
Affiliation:
Lancaster University, Health Innovation Campus, Bailrigg, Lancaster, UK Greater Manchester Mental Health NHS Foundation Trust, Manchester, UK
*
Corresponding author: James A. Kelly; Email: j.a.kelly@lancaster.ac.uk
Rights & Permissions [Opens in a new window]

Abstract

Background:

Imagery-focused therapies within cognitive behavioural therapy are growing in interest and use for people with delusions.

Aims:

This review aimed to examine the outcomes of imagery-focused interventions in people with delusions.

Method:

PsycINFO, PubMed, MEDLINE, Web of Science, EMBASE and CINAHL were systematically searched for studies that included a clinical population with psychosis and delusions who experienced mental imagery. The review was informed by the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines and quality appraisal of all included papers was completed using the Crowe Critical Appraisal Tool. Information from included texts was extracted and collated in Excel, which informed the narrative synthesis of results.

Results:

Of 2,736 studies identified, eight were eligible for inclusion and rated for quality with an average score of 70.63%. These studies largely supported their aims in reducing levels of distress and intrusiveness of imagery. Four of the eight studies used case series designs, two were randomised controlled trials, and two reported single case studies. It appears that interventions targeting mental imagery were acceptable and well tolerated within a population of people experiencing psychosis and delusions.

Conclusions:

Some therapeutic improvement was reported, although the studies consisted of mainly small sample sizes. Clinical implications include that people with a diagnosis of psychosis can engage with imagery-focused therapeutic interventions with limited adverse events. Future research is needed to tackle existing weaknesses of design and explore the outcomes of imagery interventions within this population in larger samples, under more rigorous methodologies.

Type
Main
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited.
Copyright
© The Author(s), 2024. Published by Cambridge University Press on behalf of British Association for Behavioural and Cognitive Psychotherapies

Introduction

Background

People with psychosis are known to experience a broad range of symptoms such as hallucinatory experiences, delusional beliefs, thought disorder, paranoia and anhedonia (World Health Organisation, 2019). Bentall’s (Reference Bentall2006) complaint-orientated approach suggests that separate mechanisms underlie each of these symptoms and promotes the development of specific psychological treatments to address the cognitive processes underlying these experiences. Similarly, Freeman (Reference Freeman2016) suggests considering these symptoms on a more individual level, as psychotic experiences each require explanation, research, and tailored interventions. Diagnostic categories continue to be widely used; however, research suggests they interfere/obstruct the advancement of our understanding and treatment of psychotic experiences (Freeman and Garety, Reference Freeman and Garety2014; Ronald et al., Reference Ronald, Sieradzka, Cardno, Haworth, McGuire and Freeman2013). Therefore, the study of individual experiences of psychosis has gained ground; this research corresponds to clinical need and aims to alleviate the experiences that people find most distressing (Freeman, Reference Freeman2016). Paranoia is one of these experiences, and is a prevalent experience, at a clinical level and in the general population (Freeman et al., Reference Freeman, McManus, Brugha, Meltzer, Jenkins and Bebbington2011). It is thought to exist on a spectrum and encompasses anything from general suspiciousness to persecutory delusions (Freeman et al., Reference Freeman, Garety, Bebbington, Smith, Rollinson, Fowler, Kuipers, Ray and Dunn2005). An updated review suggests future treatments for psychosis, and delusions more specifically, and focuses on understanding and treating individual experiences with an overall aim of reducing the distress and impact of each (Garety and Freeman, Reference Garety and Freeman2013).

A potential area of focus could be the experience of mental imagery. Mental imagery is generally understood as ‘seeing with the mind’s eye’, and can involve all five senses; however, visual mental imagery is the most commonly experienced and researched (Kosslyn et al., Reference Kosslyn, Ganis and Thompson2001; p. 635). Within psychosis, experienced clinicians and researchers report that mental imagery content is often associated with voice content (e.g. voice telling him to attack others, image of a tattooed, shaven-headed, muscular thug; Turkington et al., Reference Turkington, Lebert and Spencer2016) and delusions (e.g. images of being attacked; Morrison et al., Reference Morrison, Beck, Glentworth, Dunn, Reid, Larkin and Williams2002). It does not typically require external sensory input (Pearson et al., Reference Pearson, Naselaris, Holmes and Kosslyn2015) and can be triggered by internal and situational stimuli (Çili and Stopa, Reference Çili and Stopa2015). Mental images can be mental representations of places, objects or events (Stopa, Reference Stopa2009), may be experienced when craving food (Kemps and Tiggemann, Reference Kemps and Tiggemann2015) or imagining potential future events (Berntsen and Jacobsen, Reference Berntsen and Jacobsen2008). Mental images can be experienced as life-like and result in physiological responses such as increased heart-rate (Cuthbert et al., Reference Cuthbert, Lang, Strauss, Drobes, Patrick and Bradley2003).

Two highly cited studies found that the majority of participants with psychosis experienced intrusive images (Morrison et al., Reference Morrison, Beck, Glentworth, Dunn, Reid, Larkin and Williams2002; Schulze et al., Reference Schulze, Freeman, Green and Kuipers2013). Morrison et al. (Reference Morrison, Beck, Glentworth, Dunn, Reid, Larkin and Williams2002) interviewed 35 people with psychosis spectrum diagnoses about their experience of mental images that accompanied any psychotic symptoms, and 74.3% (n=26) reported experiencing an image connected to their symptoms. Of these 26, 25 participants linked the image to a particular emotion or belief, and 17 associated the image with a memory of a past event. Participants who experienced persecutory delusions reported images related to these feared events (e.g. being attacked with axes, as well as memories of traumatic life events). These results were largely replicated a decade later by Schulze et al. (Reference Schulze, Freeman, Green and Kuipers2013) in a sample of people experiencing persecutory delusions. Of the 40 participants recruited, 72.5% reported intrusive images when they thought, or felt anxious, about their persecutory beliefs. Of this 72.5%, 82.8% rated these images as negative, and 71.4% rated images as distressing. Research has shown that the distressing nature of this imagery could negatively affect psychological wellbeing in people with psychosis (Freeman et al., Reference Freeman, Pugh, Dunn, Evans, Sheaves, Waite, Černis, Lister and Fowler2014a, Reference Freeman, Startup, Dunn, Wingham, Černis, Evans, Lister, Pugh, Cordwell and Kingdon2014b). Both studies are limited by small sample sizes, lack of comparison group and lack of assessment of co-morbid experiences such as trauma or anxiety. Importantly, imagery-based experiences that are not directly related to the delusional content may also be a causal factor in the maintenance and subsequent distress.

Imagery-focused interventions

Mental imagery interventions have been a longstanding feature of cognitive behavioural therapy (CBT; Beck, Reference Beck1976) and in psychotherapy more generally (Edwards, Reference Edwards2007; Singer, Reference Singer2006). Research suggests that mental imagery is an important feature across all cognitive processes (Kosslyn et al., Reference Kosslyn, Thompson, Klm and Alpert1995; Pearson et al., Reference Pearson, Naselaris, Holmes and Kosslyn2015). It has been theorised to have a powerful impact on emotion (Holmes et al., Reference Holmes, Geddes, Colom and Goodwin2008; Holmes et al., Reference Holmes, Lang and Deeprose2009; Holmes and Mathews, Reference Holmes and Mathews2010), with empirical evidence indicating that it can elicit stronger emotional responses compared with similar information represented verbally (Pearson et al., Reference Pearson, Naselaris, Holmes and Kosslyn2015). Mathews and MacLeod (Reference Mathews and MacLeod2002) suggested that emotions (e.g. anxiety and fear) are likely to be induced by imagery as the system which generates emotional states evolved prior to language, and therefore is more responsive to sensory-perceptual representations such as imagery. Therefore, our rationale for using imagery-focused intervention is to build on these hypotheses that imagery-focused interventions can reduce the impact of distressing imagery on emotion.

The manipulation of mental images happens frequently, for example, within everyday problem solving such as mental rotation (Shepard and Metzler, Reference Shepard and Metzler1971) and creative thinking (Pearson et al., Reference Pearson, Deeprose, Wallace-Hadrill, Heyes and Holmes2013). However, before developments in our understanding of imagery and its link to behaviour and emotion, professional training on imagery techniques and interventions was largely absent for clinicians (Saulsman et al., Reference Saulsman, Ji and Mcevoy2019). A range of imagery techniques can be applied therapeutically; enhancing emotional engagement in thought record work (McEvoy et al., Reference McEvoy, Saulsman and Rapee2018), behavioural experiments (McEvoy et al., Reference McEvoy, Erceg-Hurn, Saulsman and Thibodeau2015), using positive imagery regarding future behaviour to influence actual behaviour (Renner et al., Reference Renner, Ji, Pictet, Holmes and Blackwell2017), and imaginal exposure (Foa et al., Reference Foa, Steketee, Turner and Fischer1980). Imagery-focused techniques have been supported by a limited, but growing, body of research (Holmes et al., Reference Holmes, Blackwell, Burnett Heyes, Renner and Raes2016a; Pile et al., Reference Pile, Williamson, Saunders, Holmes and Lau2021). Interest in another technique, imagery rescripting (Edwards, Reference Edwards2007; van der Hart et al., Reference van der Hart, Brown and Van der Kolk1989), has grown rapidly, with it being integrated into treatment across diagnoses and investigated as a stand-alone intervention (Arntz, Reference Arntz2012). Imagery rescripting is frequently introduced as a technique to modify the meaning and emotion attached to a distressing memory; however, it is not restricted to memories and can also be used for imagined future events, i.e. events that have not yet happened (Landkroon et al., Reference Landkroon, Meyerbröker, Salemink and Engelhard2022). It involves the therapist asking the individual to imagine a traumatic memory or aversive event. The therapist then helps the person rewrite it using a safer narrative (Ehlers and Clark, Reference Ehlers and Clark2000; Ehlers et al., Reference Ehlers, Clark, Hackmann, McManus and Fennell2005). An example of integration was researched by Kindt et al. (Reference Kindt, Buck, Arntz and Soeter2008) in a sample of 71 participants with chronic PTSD. Imagery rescripting in conjunction with imaginal exposure led to significantly greater reductions in anger, shame and guilt compared with scores for the imaginal exposure alone condition and the waiting list condition. A single session of imagery rescripting reportedly reduced distress associated with memories for a small sample (n=14) of people with social phobia, and these improvements were maintained at 1 week follow-up (Wild and Clark, Reference Wild and Clark2011). Multiple systematic reviews report the effectiveness of imagery rescripting in reducing distressing intrusive cognitions such as voices, thoughts and images, across disorders (Morina et al., Reference Morina, Lancee and Arntz2017; Saulsman et al., Reference Saulsman, Ji and Mcevoy2019).

However, clinicians report a hesitancy to incorporate imagery-focused techniques into their interventions; barriers include lack of training, and concerns that imagery techniques may be destabilising for clients (Bell et al., Reference Bell, Mackie and Bennett-Levy2015). Whilst the aforementioned research findings are limited by the focus on newly qualified staff, a similar concern is reported by more experienced colleagues. In a single case study, Newman-Taylor (Reference Newman-Taylor2020), aimed to overcome the concerns of a staff team and client regarding the use of imagery rescripting for psychotic symptoms by creating a sense of ‘felt security’. Felt security embodies an attachment relationship, a sense of interpersonal safety that is associated with secure, protective relationships (Sasaki and Overall, Reference Sasaki and Overall2020). Whilst the felt security imagery task may not be necessary for all clients, it demonstrated a simple way of regulating emotion, increasing acceptability of imagery rescripting and decreasing the hesitancy that surrounds offering imagery-focused techniques to people with symptoms of psychosis.

Within a non-clinical sample of students with high levels of trait paranoia, a single session of imagery rescripting reduced paranoia scores and distress, with most participants also reporting ‘positive’ emotions of ‘relief and calmness’. Despite the lack of control group and largely female sample, results suggest that imagery techniques, specifically rescripting, may be beneficial to people with clinical levels of delusions (Newman-Taylor et al., Reference Taylor, Bee, Kelly, Emsley and Haddock2020).

Building upon the success of studies in non-clinical samples, Clarke et al. (Reference Clarke, Kelly and Hardy2021) explored the feasibility, safety and acceptability of a brief imagery rescripting for self- referential distressing appraisals (e.g. I am vulnerable) associated with trauma memories in people with psychosis. The protocol was built on several imagery rescripting protocols and targeted trauma memories. Participants experienced reliable change on measures of PTSD and wellbeing, with 58.3% of participants meeting criteria for clinically significant improvements of PTSD symptoms. Despite these promising results, delusions were only measured at baseline, and therefore without a post-intervention score for comparison it is not possible to comment on the effectiveness of this imagery-focused intervention on delusions.

With more papers in the area of psychosis and imagery being published, alongside an increased clinical interest in the area, a review to establish the evidence base would be helpful and timely. A review to collate studies that focus on imagery interventions for people with psychosis and delusions provides the opportunity to understand what research has been carried out to date, and to what extent these interventions have been helpful.

Aims

The main aim of the review was to examine the outcomes of imagery-focused interventions in people with delusions. Delusions are the only experience of psychosis explored due to their prevalence and distressing nature. They are thought to be distinct from other experiences of psychosis in terms of their phenomenology and aetiology and warrant a specific review (Freeman and Garety, Reference Freeman and Garety2014). A secondary outcome regarding acceptance and feasibility of imagery-focused interventions within this population will also be considered.

Method

This review was informed by the PRISMA statement (Page et al., Reference Page, McKenzie, Bossuyt, Boutron, Hoffmann, Mulrow, Shamseer, Tetzlaff, Akl, Brennan, Chou, Glanville, Grimshaw, Hróbjartsson, Lalu, Li, Loder, Mayo-Wilson, McDonald and Moher2021; see Supplementary material, section A). The protocol was registered on the international database of prospectively registered systemic reviews, PROSPERO (registration number: CRD42022322584) and can be accessed at: https://www.crd.york.ac.uk/prospero/display_record.php?ID=CRD42022322584.

Search strategy

An electronic search for eligible articles was conducted on 24 March 2022 in the following databases: PsycINFO, PubMed, MEDLINE, Web of Science, EMBASE and CINAHL. The search strategy was developed by the review team and consisted of two search strings. The first search included: ‘psychosis OR schizophrenia OR delusion OR psychotic disorder’, the second included: ‘imagery OR mental image’. Searches were predominantly keyword searches with truncation around terms associated with mental imagery and psychosis and connected by Boolean operators (Supplementary material, section B). Following full text screening, forward citation and reference list searches were conducted using Google Scholar on included texts.

Inclusion and exclusion criteria

As no existing systematic literature review was found, inclusion criteria were kept purposefully broad. This was to increase the potential of all relevant research being included. No restriction was placed on publication date, and papers were included from earliest date to date of extraction. However, only papers in English language were included, due to lack of resources for translation.

Inclusion criteria consisted of the following: (1) adults (i.e. over 18 years old); (2) diagnosis relating to paranoid beliefs; (3) identification of such diagnoses through Diagnostic and Statistical Manual of Mental Disorders (DSM), International Classification of Diseases (ICD), medical records or clinician reports; (4) a measure of delusion pre- and post-intervention (standardised or idiosyncratic); (5) publications focused on mental imagery and imagery techniques; and (6) peer-reviewed publications with samples from community, in-patient (or a mix of both) forensic and psychiatric intensive care were included.

Papers were excluded if: (1) participants were under 18 years old; (2) participants had existing neurological disorders; (3) studies focused on hallucinations alone; (4) there were no measure of delusions pre- and post-intervention; or (5) peer-reviewed research focused on functional magnetic resonance imaging, body image, flashbacks and eye-movement desensitisation and reprocessing (EMDR).

Study selection

The first author assessed the titles and abstracts of potentially relevant papers. They then reviewed full-text papers against the inclusion and exclusion criteria. Decisions regarding full-text inclusion were discussed and agreed with all authors.

Data extraction

Relevant demographic, methodological and summary data were extracted and collated using Microsoft Excel (Microsoft Corporation, 2018). To support the aims of the review, key outcomes will be reported, namely changes on measures of delusion and imagery.

Study quality

All studies were assessed for risk of bias using the Crowe Critical Appraisal Tool (CCAT v1.4; Crowe et al., Reference Crowe, Sheppard and Campbell2011; Supplementary material, section C). Assessing for risk of bias allows evidence to be distinguished from assumptions and misreporting. It also enables results to be interpreted based on the overall quality of the methodology and context in which they were found. The CCAT consists of 22 items across eight categories, and is reported as having a good degree of construct validity (Crowe and Sheppard, Reference Crowe and Sheppard2011). Items for scoring include rationale for intervention/treatment/exposure, potential sources of bias/confounding variables, sampling method and its suitability, and ethical matters. Categories are scored independently using a 6-point scale, from 0 to 5, with higher scores representing high quality within that individual category. Items that are not applicable to the design of the study are excluded. Summary scores are provided; however, these can be misleading and hide very poor scores in one or more categories, therefore, scores across all categories are reported for all included papers.

Results

Study selection

In line with PRISMA guidelines, Fig. 1 outlines the selection process of this review. A total of 2736 studies were identified through database searches; 1070 duplicates were removed, and 1666 papers were screened at title and abstract level. Twenty-eight papers were included for full text review, and eight papers met all inclusion criteria; 50% of papers were independently co-rated by a colleague. No further studies were identified from forward citation and reference list searching and screening.

Figure 1. PRISMA flow diagram.

Study characteristics and participants

The eight studies were published between 2004 and 2022, and assessed a total of 102 participants. Table 1 summarises study characteristics. Two were single case studies (Morrison, Reference Morrison2004; Serruya and Grant, Reference Serruya and Grant2009). Two studies were randomised controlled trials (RCTs; Ascone et al., Reference Ascone, Sundag, Schlier and Lincoln2017; Sheaves et al., Reference Sheaves, Holmes, Rek, Taylor, Nickless, Waite, Germain, Espie, Harrison, Foster and Freeman2019) and the remaining four studies used case series designs (Forkert et al., Reference Forkert, Brown, Freeman and Waite2021; Pitfield et al., Reference Pitfield, Maguire and Newman-Taylor2020; Sheaves et al., Reference Sheaves, Onwumere, Keen and Kuipers2015; Taylor et al., Reference Taylor, Bee, Kelly, Emsley and Haddock2020). Six studies were conducted in the United Kingdom, one in Germany (Ascone et al., Reference Ascone, Sundag, Schlier and Lincoln2017) and one in the USA (Serruya and Grant, Reference Serruya and Grant2009). Four studies included follow-ups within their design. Forkert et al. (Reference Forkert, Brown, Freeman and Waite2021) report a follow-up length of 1 month, as did Sheaves et al. (Reference Sheaves, Holmes, Rek, Taylor, Nickless, Waite, Germain, Espie, Harrison, Foster and Freeman2019); Serruya and Grant (Reference Serruya and Grant2009) had a follow-up length of 1 year. Pitfield et al. (Reference Pitfield, Maguire and Newman-Taylor2020) had a follow-up length of either 2 weeks or 3 weeks, dependent upon participant baseline length.

Table 1. Studies utilising an imagery-focused intervention in a population of people with psychosis and delusions

Diagnoses abbreviations: BPA, bipolar affective disorder; DD, delusional disorder; FEP, first episode psychosis; PNOS, psychosis not otherwise specified; PSz, paranoid schizophrenia; SA, schizoaffective disorder; SZ, schizophrenia; TAU, treatment as usual. Sex abbreviations: F, female; M, male. Measures of delusions abbreviations: 18-PC, 18-item Paranoia Checklist (Freeman et al., Reference Freeman, Garety, Bebbington, Smith, Rollinson, Fowler, Kuipers, Ray and Dunn2005); GPTS, Green et al. Paranoid Thought Scales (Green et al., Reference Green, Freeman, Kuipers, Bebbington, Fowler, Dunn and Garety2008); PANSS, Positive and Negative Syndrome Scale (Kay et al., Reference Kay, Fiszbein and Opler1987); PC-5, Paranoia Checklist 5-item state version (Schlier et al., Reference Schlier, Moritz and Lincoln2016); PSYRATS, Psychotic Symptom Rating Scales (Haddock et al., Reference Haddock, McCARRON, Tarrier and Faragher1999). Other measures abbreviations: AEP, Adverse Effects in Psychotherapy (Hutton, Reference Hutton, Wood and Johnson2016); BAI, Beck Anxiety Inventory (Beck et al., Reference Beck, Epstein, Brown and Steer1988); BCSS, Brief Core Schema Scale (Fowler et al., Reference Fowler, Freeman, Smith, Kuipers, Bebbington, Twiddy, Coker, Hodgekins, Gracie, Dunn and Garety2006); BDI-II, Beck Depression Inventory II (Beck et al., Reference Beck, Steer and Brown1996); BSS, Beck Suicide Scale (Beck et al., Reference Beck, Kovacs and Weissman1979); CAPS, Cardiff Anomalous Perceptions Scale (Bell et al., Reference Bell, Halligan and Ellis2006); CDSS, Calgary Depression Rating Scale for Schizophrenia (Addington et al., Reference Addington, Shah, Liu and Addington2014); CORE-10, Clinical Outcomes in Routine Evaluation (Connell and Barkham, Reference Connell and Barkham2007); DASS-21, Depression, Anxiety and Stress Scales (Lovibond and Lovibond, Reference Lovibond and Lovibond1995); DDNSI, Disturbing Dream and Nightmare Severity Index (Krakow, Reference Krakow2006); DES-B, Brief Dissociative Experiences Scale (Dalenberg and Carlson, Reference Dalenberg and Carlson2010); FSCRS, Forms of Self-Criticism and Reassurance (Gilbert et al., Reference Gilbert, Clarke, Hempel, Miles and Irons2004); MIPQ, Mental Imagery in Psychosis Questionnaire (adapted from Holmes et al., Reference Holmes, Blackwell, Burnett Heyes, Renner and Raes2016a); NaPA, Negative and Positive Affect (Stemmler et al., Reference Stemmler, Heldmann, Pauls and Scherer2001); PANAS, Positive and Negative Affect Scale (Watson et al., Reference Watson, Anna and Tellegen1988); PAM, Psychosis Attachment Measure (Berry et al., Reference Berry, Band, Corcoran, Barrowclough and Wearden2007); PDS, Posttraumatic Diagnostic Scale (Foa et al., Reference Foa, Cashman, Jaycox and Perry1997); PPD, Persecutor Power Differential (adapted from VPD; Birchwood et al., Reference Birchwood, Meaden, Trower, Gilbert and Plaistow2000); PSQI, Pittsburgh Sleep Quality Index (Buysse et al., Reference Buysse, Reynolds, Monk, Berman and Kupfer1989); RSE, Rosenberg Self-Esteem Scale (Rosenberg, Reference Rosenberg1965); SAM, Self-Assessment Manikin (Bradley and Lang, Reference Bradley and Lang1994); SANS, Scale for the Assessment of Negative Symptoms (Andreasen, Reference Andreasen1989); S-CS, Self-Compassion Scale (Neff, Reference Neff2003); SCI, Sleep Condition Indicator (Espie et al., Reference Espie, Kyle, Hames, Gardani, Fleming and Cape2014) SCS, Social Comparison Scale (Allan and Gilbert, Reference Allan and Gilbert1995; adapted by Freeman et al., Reference Freeman, Pugh, Dunn, Evans, Sheaves, Waite, Černis, Lister and Fowler2014a); SMI, Schema Mode Inventory (Lobbestael et al., Reference Lobbestael, van Vreeswijk, Spinhoven, Schouten and Arntz2010); SUIS, Spontaneous Use of Imagery Scale (Nelis et al., Reference Nelis, Holmes, Griffith and Raes2014); TBQ, Time Budget Questionnaire (Jolley et al., Reference Jolley, Garety, Ellett, Kuipers, Freeman, Bebbington, Fowler and Dunn2006); VPD, Voice Power Differential (Birchwood et al., Reference Birchwood, Meaden, Trower, Gilbert and Plaistow2000); WAI-SR, Working Alliance Inventory (Hatcher and Gillaspy, Reference Hatcher and Gillaspy2006); WEMWBS, Warwick-Edinburgh Mental Well-being Scale (Tennant et al., Reference Tennant, Hiller, Fishwick, Platt, Joseph, Weich, Parkinson, Secker and Stewart-Brown2007); YSQ-S, Young Schema Questionnaire-Short Form (Young and Brown, Reference Young and Brown2003).

Participants were a mean of 36.97 years; 64% (n=65) were male, and 36% (n=37) were female. A range of schizophrenia-spectrum diagnoses were included; however, the majority of participants (58%; n=59), were assessed as having, or reported a diagnosis of schizophrenia.

Quality appraisal

Quality appraisal scores from the CCAT (Crowe and Sheppard, Reference Crowe and Sheppard2011) are reported in Table 2, with scores out of 5 reported across all categories, a total score (maximum=40) and corresponding total percentage stated. There is no cut-off to specify if papers were high, average, or low quality and no papers were excluded on the basis of quality; however, results and conclusions drawn have been weighted accordingly. Total percentages ranged from 33% (Serruya and Grant, Reference Serruya and Grant2009) to 88% (Sheaves et al., Reference Sheaves, Holmes, Rek, Taylor, Nickless, Waite, Germain, Espie, Harrison, Foster and Freeman2019), with a mean percentage score of 70.63%. All papers were independently scored by the first author. To improve the reliability of the quality appraisal, a sample of papers were independently rated by a colleague. Minor discrepancies were resolved using the manual and further consideration of the paper. Scores were then agreed by both appraisers.

Table 2. Quality appraisal CCAT scores for included papers

Ethical matters, defined by the tool as encompassing ethical behaviour towards participants and by the researcher, were a shortcoming for many papers as they failed to report if and how informed consent was obtained or explicitly stated how participants’ confidentiality and anonymity were maintained. Design and sampling categories also saw lower scores due to inadequate information on the validity, reliability and rationale for measures and interventions, alongside lack of information on sampling methods, why they were chosen and the suitability of these methods. A more general weakness was the lack of service user/patient involvement in the design of studies, with only one paper including experts by experience (Taylor et al., Reference Taylor, Bee, Kelly, Emsley and Haddock2020). This potentially undermines the extent to which the research conducted to date is relevant to the needs of the population in which it is conducted (National Institute for Health Research, 2021). Confidence in the acceptability of psychometric measures and recruitment strategy is also reduced.

Main outcomes

Reported changes on measures of delusions

Seven of the included studies reported decreases in delusions for people with psychosis with delusions following an imagery-focused intervention. However, one study (Ascone et al., Reference Ascone, Sundag, Schlier and Lincoln2017) reported no specific interventions effects sizes regarding the reduction of delusions for the group that received the compassion focused intervention. Nevertheless, there was an overall decrease in delusions for participants irrespective of group allocation. Participants were randomised to a control imagery condition or compassion focused imagery condition and consisted of both in-patients and out-patients.

Morrison (Reference Morrison2004) reported a case example of a participant experiencing persecutory delusions and intrusive images about people assaulting him. The participant engaged in a cognitive therapy assessment and verbal reattribution methods before participating in 14 sessions of cognitive therapy, with imagery techniques implemented in sessions 7 and 8. The remaining sessions focused on consolidation of gains. PSYRATS (Haddock et al., Reference Haddock, McCARRON, Tarrier and Faragher1999) was used as a weekly measure of delusions throughout the intervention. Scores on conviction dropped from 4 to 0, and scores for pre-occupation and distress fell from 3 to 0 from initial to last session.

According to the PSYRATS user manual (Haddock, Reference Haddock2009) items scored as a ‘4’ are beliefs that cause complete disruption of daily life, a score of 3 is given if beliefs cause severe disruption but the participant is able to maintain some daily activities or self-care, and a ‘0’ is no disruption to life, able to maintain independent living with no problems. In session 7, when imagery technique was introduced, conviction was 4, pre-occupation and distress were 3, and the following week all three of these items were rated as 0. Imagery was also said to be the focus of session 8 and in session 9 an increase in pre-occupation and conviction of 1 point on each is reported. However, it is not clear if the PSYRATS was completed prior to the session or at the end. Furthermore, not all items of the PSYRATS delusions subscale are reported and remain unclear.

Similarly to Morrison (Reference Morrison2004), Serruya and Grant (Reference Serruya and Grant2009) reported a single case where six guided imagery sessions were completed within a longer piece of therapy consisting of a total of 38 CBT sessions. At baseline, the participant reported 100% conviction in persecutory delusions. Six months later, at the end of treatment, delusion as scored by the PSYRATS delusion subscale had dropped from 17 to 14, and then to 0 at 12-month follow-up. The authors reported that approximately 16% of the intervention used imagery techniques, with the majority of the intervention focused on other CBT techniques. It is therefore difficult to attribute improvement in the participants delusion solely to the use of imagery techniques.

The remaining studies used more methodologically rigorous designs with all six papers scoring above average in the quality appraisal tool; however, sample sizes were still small and conclusions must be considered cautiously. Pitfield et al. (Reference Pitfield, Maguire and Newman-Taylor2020) reported that delusions reduced for both participants in the two-person case series but was not maintained at follow-up. One participant completed a 2-week baseline, whilst the other completed a 3-week baseline. Both reported high and variable levels of delusions. The intervention phase of 1 week required participants to listen to a personalised, guided imagery recording and complete measures daily. Ratings of delusions reduced for both participants throughout the intervention, supporting the hypothesis that secure attachment imagery could reduce delusions. However, delusions scores increased again during the follow-up period. Other studies found reductions in delusions could be maintained at follow-up. Forkert et al. (Reference Forkert, Brown, Freeman and Waite2021) conducted an uncontrolled feasibility trial that explored the impact of a single technique, self-compassionate imagery, for patients with persecutory delusions. Assessments of delusions were completed before and after the 4-session intervention, and again at 1-month follow-up. Results indicated medium effect sizes in delusions, which was maintained at follow-up.

Taylor et al. (Reference Taylor, Bee, Kelly, Emsley and Haddock2020) used a randomised multiple baseline case series design. Results indicated that three of five participants experienced reductions in delusions, with two achieving much improved clinically significant change as rated by the PSYRATS delusion subscale.

The final two papers meeting inclusion criteria focused on nightmares and imagery-focused therapy to reduce the distress. Sheaves et al. (Reference Sheaves, Onwumere, Keen and Kuipers2015) conducted a case series of between four and six sessions of imagery rehearsal therapy with five participants. All participants experienced either persecutory or grandiose delusions. PSYRATS delusion score decreased for four of the five participants and increased for one; for two participants reductions in delusional beliefs were significant. Following the case series, a pilot RCT was conducted (Sheaves et al., Reference Sheaves, Holmes, Rek, Taylor, Nickless, Waite, Germain, Espie, Harrison, Foster and Freeman2019). Participants were successfully randomised to intervention or treatment as usual conditions and assessments were blinded. The experimental condition experienced moderate reductions in delusions compared with the control group which received treatment as usual. The intervention focused on imagery rescripting of nightmares and behavioural tests of persecutory beliefs were absent; however, delusions still reduced.

Reported changes on measures of imagery

Only one paper (Taylor et al., Reference Taylor, Bee, Kelly, Emsley and Haddock2020) used psychometric measures to assess mental imagery. Intrusive images were reported to be compelling, absorbing, vivid and pre-occupying, as well as highly distressing. ‘Much improved’ clinically significant changes were reported for two participants, with a third experiencing a small decrease. The two remaining participants showed increase in scores. Imagery distress reduced by 50% between initial assessment and the final end-of-therapy assessment with a medium effect size (d=0.67).

Other papers reported changes of imagery anecdotally and were based on participants eporting which may be more likely to be biased by demand characteristics. Participants from the single case examples reportedly found certain imagery techniques most useful in reducing distress. One participant stated that a technique similar to traditional exposure techniques reduced their anxiety connected to the image from 8, to 4 out of 10 (Serruya and Grant, Reference Serruya and Grant2009). Another reported that manipulating the image and adding humour was most effective in reducing distress caused by the image (Morrison, Reference Morrison2004).

Secondary outcomes

Acceptance and feasibility of interventions

Where data were available, studies appeared to be acceptable and feasible. For the two single case examples, participants engaged with the therapeutic interventions that contained imagery-focused techniques and no serious adverse events were reported (Morrison, Reference Morrison2004; Serruya and Grant, Reference Serruya and Grant2009). Pitfield et al. (Reference Pitfield, Maguire and Newman-Taylor2020) also reported no adverse events but further information on acceptability and feasibility was not available. A 4-session compassionate imagery intervention reported medium to large effect sizes on all clinical outcome measures and reported the intervention to be feasible and acceptable, with no adverse events reported (Forkert et al., Reference Forkert, Brown, Freeman and Waite2021). Of all potential participants, 86% gave consent to take part in the research. Throughout the intervention all sessions were attended, and all measures were completed.

Several studies also reported recruitment rates. In their case series, Sheaves et al. (Reference Sheaves, Onwumere, Keen and Kuipers2015) recruited from a group of participants from a previous study that experienced weekly nightmares (n=22). Of these 22, 20 agreed to be contacted with 18 meeting inclusion criteria. Seven participants were invited to take part and six consented. Taylor et al. (Reference Taylor, Bee, Kelly, Emsley and Haddock2020) reported that 62.5% of those eligible consented to participate. All participants exceeded the 3-session attendance threshold that had been pre-set as a reasonable level of attendance. and no participant withdrew during therapy. Ascone et al. (Reference Ascone, Sundag, Schlier and Lincoln2017) asked 56 participants to participate, with 51 being included in the final sample, a recruitment rate of 91.07%.

In their one-session, brief intervention, Ascone et al. (Reference Ascone, Sundag, Schlier and Lincoln2017) reported that working with imagery in people experiencing delusions was considered largely positive by participants. However, some adverse effects were reported such as increases in shame. Two patients who expressed high levels of mistrust withdrew from the study and further information on recruitment numbers is not available, therefore conclusions on feasibility cannot be made. Five of six participants completed all sessions of the case series of Sheaves et al. (Reference Sheaves, Onwumere, Keen and Kuipers2015). One participant withdrew, stating that their nightmares had stopped occurring. The remaining participants continued to experience nightmares but noted reduced distress and an increased ability to cope. On average, participants reported the satisfaction for intervention to be 9.2 out of 10. The randomised controlled trial that followed, reported 100% completion rates of therapy and similarly high therapy satisfaction rates (Sheaves et al., Reference Sheaves, Holmes, Rek, Taylor, Nickless, Waite, Germain, Espie, Harrison, Foster and Freeman2019). Whilst results were mostly positive, an unexpected finding was that recovery of suicidal ideation was better for the treatment as usual group compared with the CBT group. Effect sizes from small numbers of participants should be treated with caution; however, it is important to monitor for adverse effects in larger trials.

Discussion

The primary aim of this review was to examine the outcomes of imagery-focused interventions in people with psychosis and delusions. A secondary outcome of the review was to explore the acceptance and feasibility of imagery-focused interventions. Eight papers were included after a thorough systematic search following PRISMA guidelines. Both aims of the review were achieved. Regarding the primary aim, seven papers reported a decrease in delusions following an imagery-focused intervention. Ascone et al. (Reference Ascone, Sundag, Schlier and Lincoln2017) reported an overall decrease in delusions irrespective of imagery condition; they had hypothesised that the compassion focused intervention would lead to larger therapeutic gains compared with a control imagery condition. Outcomes related to changes in imagery were more difficult to ascertain as only one paper (Taylor et al., Reference Taylor, Bee, Kelly, Emsley and Haddock2020) measured mental imagery using psychometric measures. Both psychometric and anecdotal data indicated that imagery-focused interventions had reduced the distress caused by intrusive images.

Regarding the secondary aim, from the available data, studies indicated that imagery-focused interventions are acceptable and feasible for people with psychosis who experience delusions. No adverse events were reported, and recruitment and completion rates of the interventions were high across studies.

All eight papers included within this review reported reductions in delusions following imagery intervention and suggest that such interventions are acceptable and feasible. However, there were a number of limitations with regard to each study, which limited the conclusions that could be drawn. For example, in the Ascone et al. (Reference Ascone, Sundag, Schlier and Lincoln2017) study, a reduction in delusions was not found as a group difference but overall, across both a compassionate imagery condition and control imagery condition. The authors hypothesised that the calm breathing baseline or soft tone of voice used in both conditions may have accounted for changes in both groups. Furthermore, this is the only sample to recruit participants from both an in-patients and a community setting, which may have impacted results (Ascone et al., Reference Ascone, Sundag, Schlier and Lincoln2017). Both single case studies included reported that the participant experienced a decrease in their delusional beliefs (Morrison, Reference Morrison2004; Serruya and Grant, Reference Serruya and Grant2009). The authors attribute this reduction, in part, to the use of imagery-focused techniques within a larger piece of cognitive therapy work. As noted, imagery was omnipresent in the development of cognitive and behavioural therapies (Edwards, Reference Edwards2007) and was employed in a range of therapeutic techniques (McEvoy et al., Reference McEvoy, Erceg-Hurn, Saulsman and Thibodeau2015). Both Morrison (Reference Morrison2004) and Serruya and Grant (Reference Serruya and Grant2009) clearly demonstrated how imagery-focused techniques could be implemented within an extended piece of therapy. However, results from both case examples should be considered with caution given the methodological limitations of single case study research and below average quality scores, which would make replication difficult and weakens the generalisability of results.

Another area to consider was if the reported reductions in delusions could be sustained beyond the intervention phase of research. Effects were maintained at 1-month follow-up after a standalone compassionate imagery intervention (Forkert et al., Reference Forkert, Brown, Freeman and Waite2021); however, in another study, both participants scores on delusion measures returned to baseline levels at follow-up (Pitfield et al., Reference Pitfield, Maguire and Newman-Taylor2020). A follow-up of 1 year from baseline assessment saw a continued drop in delusions to a score of 0; however, as imagery was only part of the longer therapeutic intervention, its role in this reduction cannot be differentiated from other confounders (Serruya and Grant, Reference Serruya and Grant2009). Medium effect sizes 1 month after intervention were reported in Sheaves et al. (Reference Sheaves, Holmes, Rek, Taylor, Nickless, Waite, Germain, Espie, Harrison, Foster and Freeman2019), with high follow-up rates of 83.33%. Repeating measures at follow-up overcame a limitation of Sheaves et al. (Reference Sheaves, Onwumere, Keen and Kuipers2015) which did not retest measures at follow-up. Other studies were also limited by the lack of a follow-up period (Ascone et al., Reference Ascone, Sundag, Schlier and Lincoln2017; Morrison, Reference Morrison2004; Taylor et al., Reference Taylor, Bee, Kelly, Emsley and Haddock2020). It appeared that reductions in delusions were maintained when the intervention actively involved the participant and therapist and was utilised as a predominantly standalone therapeutic protocol. Delusions scores in Pitfield et al. (Reference Pitfield, Maguire and Newman-Taylor2020) may have returned to baseline following intervention for a number of reasons. For example, the changeable and high levels of delusions at baseline for both participants suggested a level of chronicity in their experience of delusions. It is important to note that one participant inadvertently reduced their follow-up period as they continued using the guided imagery recording longer than the stipulated timeframe due to forgetting to stop and finding the intervention useful. Given the hypothesis that attachment-based imagery may supplement trauma interventions for people with psychosis and persecutory delusions (Pitfield et al., Reference Pitfield, Maguire and Newman-Taylor2020) and alleviate some clinicians’ distress about offering these interventions, further research into the feasibility of continued use is warranted.

Despite the small sample size, a range of psychosis-spectrum diagnoses were included, and some participants were reported to have experienced chronic and complex mental health problems. Given the therapeutic gains and limited adverse events, clinicians’ hesitancy about using imagery-focused techniques with this population may be somewhat alleviated (Gairns et al., Reference Gairns, Alvarez-Jimenez, Hulbert, McGorry and Bendall2015; Sin et al., Reference Sin, Spain, Furuta, Murrells and Norman2017). Furthermore, as reported in Table 2, a range of imagery techniques contributed to these therapeutic gains. The most prevalent imagery technique was imagery rescripting used by Sheaves et al. (Reference Sheaves, Onwumere, Keen and Kuipers2015, Reference Sheaves, Holmes, Rek, Taylor, Nickless, Waite, Germain, Espie, Harrison, Foster and Freeman2019) and Taylor et al. (Reference Taylor, Bee, Kelly, Emsley and Haddock2020). Ascone et al. (Reference Ascone, Sundag, Schlier and Lincoln2017) and Forkert et al. (Reference Forkert, Brown, Freeman and Waite2021) both used compassionate imagery as the basis for their interventions. Pitfield et al. (Reference Pitfield, Maguire and Newman-Taylor2020) was the only study to use attachment based imagery, and as previously reported Morrison (Reference Morrison2004) and Serruya and Grant (Reference Serruya and Grant2009) incorporated imagery techniques into cognitive therapy. This demonstrates that a range of imagery-focused interventions can be used within a sample of people with psychosis.

Methodological considerations

The CCAT (Crowe and Sheppard, Reference Crowe and Sheppard2011) identified areas of strength within the included papers. There was clear reporting of aims and hypotheses, the inclusion of key information and summary of current knowledge alongside clear rationales for the studies’ focus. Discussion sections were also strong with clear summaries of findings that were further explored within the context of the available literature.

Most studies failed to report clear processes on ethical matters such as how informed consent was obtained and how confidentiality and privacy were maintained. These are particularly important to address given the clinical nature and vulnerable population studies were conducted with. Further weaknesses related to the lack of rationale for authors’ use of designs, measures and interventions, whilst sometimes addressed by stating the exploratory nature of the study, was frequently left to be assumed rather than explicitly stated. Finally, only one study reported the consultation of service users (Taylor et al., Reference Taylor, Bee, Kelly, Emsley and Haddock2020). Service user involvement in research and healthcare has increased rapidly, with multiple studies reporting benefits such as service users’ greater sense of control over services they have received, improved care co-ordination and positive clinical outcomes (Laitila et al., Reference Laitila, Nummelin, Kortteisto and Pitkänen2018; Omeni et al., Reference Omeni, Barnes, MacDonald, Crawford and Rose2014). However, the service user voice is absent in the majority of research designs, methods and interventions that this review covers.

Only one study (Serruya and Grant, Reference Serruya and Grant2009) reported a definition of mental imagery. Further clarification and an agreement on a broad description of the experience we are trying to explore could only be useful. Alongside the lack of definitions is the absence of clear measures to quantify or describe a person’s experience of mental imagery. No clear preference for an imagery assessment tool was evident, with only one paper reporting the use of imagery measures (Taylor et al., Reference Taylor, Bee, Kelly, Emsley and Haddock2020). Without an understanding of the participants’ propensity for mental imagery, the frequency of which they experience it and the characteristics of their imagery (e.g. intrusiveness, vividness, emotional nature), it is difficult to compare and generalise findings, however positive they may seem. Measures of delusions also varied, however; four of the papers reported PSYRATS (Haddock et al., Reference Haddock, McCARRON, Tarrier and Faragher1999) scores that allowed for comparison of the clinical severity of people’s experiences.

General methodological weaknesses were the research designs and small number of participants. Only two RCTs, Ascone et al. (Reference Ascone, Sundag, Schlier and Lincoln2017) and Sheaves et al. (Reference Sheaves, Holmes, Rek, Taylor, Nickless, Waite, Germain, Espie, Harrison, Foster and Freeman2019), were included alongside several case series and two individual case presentations. It is important to understand the lack of more robust research designs in the context of the infancy of this research area. Furthermore, potential confounding variables were frequently unreported, for example medication use. Most studies did not control for demographic variables; Ascone et al. (Reference Ascone, Sundag, Schlier and Lincoln2017) used a randomisation procedure that resulted in samples roughly equivalent to each other. Sheaves et al. (Reference Sheaves, Holmes, Rek, Taylor, Nickless, Waite, Germain, Espie, Harrison, Foster and Freeman2019) also randomised participants and whilst gender was matched on both groups, other variables were not (e.g. ethnicity and diagnosis).

Strengths and limitations

This is the first review that we are aware of to investigate studies of mental imagery and delusions. This broadness also pertained to research designs, with a range of designs included, allowing important findings to be discussed regardless of sample size and participant experience. This review forms a base for future research in this area and contributes to suggestions that a move from diagnostic based interventions, towards symptom or experience-based interventions may help alleviate distress for people transdiagnostically.

Limitations are similar to those found across systematic reviews (Garg et al., Reference Garg, Hackam and Tonelli2008). There is a risk, despite a rigorous search strategy, that studies have been unintentionally missed or excluded. This risk has been alleviated as much as possible by employing thorough scoping searches, the piloting of search terms and consultation with a librarian. Whilst small sample sizes and case presentations were included in this review, publication bias may still have affected the results as these types of studies are less likely to be published. Furthermore, some papers explore delusions as a single construct; however, differences between subtypes of delusions and the role imagery plays may exist. Finally, the heterogeneity of included research regarding the measures used, interventions delivered and settings makes it difficult to draw more firm conclusions.

Clinical implications

This is a growing area of research and notwithstanding the limitations noted above, several potentially important clinical implications are noteworthy. Perhaps the most notable clinical implication that the included research provides is that people with a psychosis diagnosis can engage with imagery-focused therapeutic interventions. The available information indicates there were limited adverse events as a direct result of imagery interventions which may alleviate some of the caution expressed by clinicians considering the use of imagery-focused techniques within this population (Gairns et al., Reference Gairns, Alvarez-Jimenez, Hulbert, McGorry and Bendall2015).

Intrusive and negative mental imagery was reported to be emotionally distressing by the recruited participants. Furthermore, it appeared to be widely experienced across diagnostic groups, genders and age, supporting the important findings of Morrison et al. (Reference Morrison, Beck, Glentworth, Dunn, Reid, Larkin and Williams2002) and Schulze et al. (Reference Schulze, Freeman, Green and Kuipers2013). Given the distressing nature of some participants’ mental imagery, and its connection to their psychotic symptoms or previous trauma, it appears to be an important area for clinicians to assess and explore with their clients. Failure to assess for the presence of mental imagery may mean clinicians are missing opportunities to alleviate a distressing experience for people experiencing psychosis with delusions.

Future directions

This area would benefit from greater consistency in the definition, reporting and assessment of mental imagery. This would allow for a more reliable and valid replication of methodologies as well as enhancing the comparability of data. Psychometric measures may play a role in this, in particular the use, or creation of, a measure to identify the meaning and emotion attached to imagery. Furthermore, existing research indicates a connection between mental imagery and emotion. It remains unclear the extent to which mental imagery plays a causal role in emotions within people with psychosis or those experiencing psychotic symptoms, in part due to studies identifying a causal role within the general population not being replicated within these populations. This requires further exploration.

The papers included in this review lay an important foundation for future research. Given the early stage of research in this area, case series designs, convenience sampling and unmatched control groups are suitable designs. However, future research would benefit from more RCTs as these are considered the most rigorous methodology (Akobeng, Reference Akobeng2005) when considering the causal relationship between an intervention, such as imagery-focused therapy, and an outcome (e.g. reduction in delusions). Adequately powered samples and the matching of intervention and control groups on potential confounding variables (e.g. age, gender, medication, would further add to design rigor). Assessments completed by a researcher blind to group allocation completed at multiple time points would also be beneficial. Whilst establishing a stable baseline is difficult within a clinical sample, especially where symptoms such as delusions can be extremely distressing; it is invaluable when researching the impact of an intervention. Regarding design, longer follow-up periods with blinded assessors, would allow for the exploration of what interventions create lasting change. Another important consideration is the involvement of those with lived experience, in the conceptualisation, design and delivery of research interventions.

Finally, whilst results are promising despite the limitations discussed, it is important to consider whose experiences are missing from this body of research. Whilst not an aim of the review a brief exploration of the included studies demographics indicate that all but one study, Morrison (Reference Morrison2004), reported the ethnicity of their participants. However, no study considered the collected ethnicity data in their interpretation of results as suggested by Ross et al. (Reference Ross, Hart-Johnson, Santen and Zaidi2020). Future research would benefit from consultation with Black African, Black Caribbean, South Asian, White Other and Mixed Ethnicity people. Racial inequality exists within mental health services (Koodun et al., Reference Koodun, Dudhia, Abifarin and Greenhalgh2021) and has been connected with worse social and service use outcomes for Black African and Black Caribbean service users with psychosis, compared with White British service users (Morgan et al., Reference Morgan, Fearon, Lappin, Heslin, Donoghue, Lomas, Reininghaus, Onyejiaka, Croudace, Jones, Murray, Doody and Dazzan2017). Therefore, it is paramount that research meaningfully includes these service users to ensure their voices and experiences are heard and considered within the development of new therapeutic interventions.

Conclusions

Despite a limited number of papers and their methodological limitations, it appears that imagery-focused interventions are tolerable and beneficial to people with psychosis and delusions. Whilst further research is needed to build upon these findings, there are clear and positive clinical implications.

Supplementary material

The supplementary material for this article can be found at https://doi.org/10.1017/S1352465824000237

Data availability statement

Data available on request due to privacy/ethical restrictions.

Acknowledgements

We are very grateful to Dr Bill Sellwood and Dr Katherine Newman-Taylor for comments on an earlier version of the manuscript.

Author contributions

Aimee Cairns: Conceptualization (equal), Data curation (equal), Formal analysis (equal), Investigation (equal), Methodology (equal), Project administration (equal); Christopher Taylor: Conceptualization (equal), Supervision (equal), Writing – review & editing (equal); James Kelly: Conceptualization (equal), Supervision (equal), Writing – review & editing (equal).

Financial support

The authors declare none.

Competing interests

The authors declare none.

Ethical standards

All authors abided by the Ethical Principles of Psychologists and Code of Conduct as set out by the BABCP and BPS.

References

Addington, J., Shah, H., Liu, L., & Addington, D. (2014). Reliability and validity of the Calgary Depression Scale for Schizophrenia (CDSS) in youth at clinical high risk for psychosis. Schizophrenia Research, 153, 6467. https://doi.org/10.1016/j.schres.2013.12.014 CrossRefGoogle ScholarPubMed
Akobeng, A. K. (2005). Understanding randomised controlled trials. Archives of Disease in Childhood, 90, 840844. https://doi.org/10.1136/adc.2004.058222 CrossRefGoogle ScholarPubMed
Allan, S., & Gilbert, P. (1995). A social comparison scale: psychometric properties and relationship to psychopathology. Personality and Individual Differences, 19, 293299. https://doi.org/10.1016/0191-8869(95)00086-L CrossRefGoogle Scholar
Andreasen, N. C. (1989). The Scale for the Assessment of Negative Symptoms (SANS): conceptual and theoretical foundations. British Journal of Psychiatry, 155, 4952. https://doi.org/10.1192/S0007125000291496 CrossRefGoogle Scholar
Arntz, A. (2012). Imagery rescripting as a therapeutic technique: review of clinical trials, basic studies, and research agenda. Journal of Experimental Psychopathology, 3, 189208. https://doi.org/10.5127/jep.024211 CrossRefGoogle Scholar
Ascone, L., Sundag, J., Schlier, B., & Lincoln, T. M. (2017). Feasibility and effects of a brief compassion-focused imagery intervention in psychotic patients with paranoid ideation: a randomized experimental pilot study. Clinical Psychology & Psychotherapy, 24, 348358. https://doi.org/10.1002/cpp.2003 CrossRefGoogle ScholarPubMed
Beck, A. T. (1976). Cognitive Therapy and the Emotional Disorders (p. 356). International Universities Press.Google Scholar
Beck, A. T., Epstein, N., Brown, G., & Steer, R. A. (1988). An inventory for measuring clinical anxiety: psychometric properties. Journal of Consulting and Clinical Psychology, 56, 893897. https://doi.org/10.1037/0022-006X.56.6.893 CrossRefGoogle ScholarPubMed
Beck, A. T., Kovacs, M., & Weissman, A. (1979). Assessment of suicidal intention: the Scale for Suicide Ideation. Journal of Consulting and Clinical Psychology, 47, 343352. https://doi.org/10.1037//0022-006x.47.2.343 CrossRefGoogle ScholarPubMed
Beck, A. T., Steer, R. A., & Brown, G. K. (1996). Beck Depression Inventory (BDI-II) (vol. 10). Pearson. http://www.psychvisit.com/Scales/BDI-2.html Google Scholar
Bell, T., Mackie, L., & Bennett-Levy, J. (2015). ‘Venturing towards the dark side’: the use of imagery interventions by recently qualified cognitive-behavioural therapists. Clinical Psychology & Psychotherapy, 22, 591603. https://doi.org/10.1002/cpp.1920 CrossRefGoogle ScholarPubMed
Bell, V., Halligan, P. W., & Ellis, H. D. (2006). The Cardiff Anomalous Perceptions Scale (CAPS): a new validated measure of anomalous perceptual experience. Schizophrenia Bulletin, 32, 366377. https://doi.org/10.1093/schbul/sbj014 CrossRefGoogle ScholarPubMed
Bentall, R. (2006). Madness explained: why we must reject the Kraepelinian paradigm and replace it with a ‘complaint-orientated’ approach to understanding mental illness. Medical Hypotheses, 66, 220233.CrossRefGoogle ScholarPubMed
Berntsen, D., & Jacobsen, A. S. (2008). Involuntary (spontaneous) mental time travel into the past and future. Consciousness and Cognition, 17, 10931104. https://doi.org/10.1016/j.concog.2008.03.001 CrossRefGoogle ScholarPubMed
Berry, K., Band, R., Corcoran, R., Barrowclough, C., & Wearden, A. (2007). Attachment styles, earlier interpersonal relationships and schizotypy in a non-clinical sample. Psychology and Psychotherapy: Theory, Research and Practice, 80, 563576. https://doi.org/10.1348/147608307X188368 CrossRefGoogle Scholar
Birchwood, M., Meaden, A., Trower, P., Gilbert, P., & Plaistow, J. (2000). The power and omnipotence of voices: subordination and entrapment by voices and significant others. Psychological Medicine, 30, 337344. https://doi.org/10.1017/S0033291799001828 CrossRefGoogle ScholarPubMed
Bradley, M. M., & Lang, P. J. (1994). Measuring emotion: the self-assessment manikin and the semantic differential. Journal of Behavior Therapy and Experimental Psychiatry, 25, 4959. https://doi.org/10.1016/0005-7916(94)90063-9 CrossRefGoogle ScholarPubMed
Bullock, G., Newman-Taylor, K., & Stopa, L. (2016). The role of mental imagery in non-clinical paranoia. Journal of Behavior Therapy & Experimental Psychiatry, 50, 264268. cin20. https://doi.org/10.1016/j.jbtep.2015.10.002 CrossRefGoogle ScholarPubMed
Buysse, D. J., Reynolds, C. F., Monk, T. H., Berman, S. R., & Kupfer, D. J. (1989). The Pittsburgh Sleep Quality Index: a new instrument for psychiatric practice and research. Psychiatry Research, 28, 193213. https://doi.org/10.1016/0165-1781(89)90047-4 CrossRefGoogle ScholarPubMed
Çili, S., & Stopa, L. (2015). Intrusive mental imagery in psychological disorders: is the self the key to understanding maintenance? Frontiers in Psychiatry, 6. http://search.ebscohost.com/login.aspx?direct=true&db=psyh&AN=2015-36004-001&site=ehost-live&authtype=ip,shib&user=s1523151 Google Scholar
Clarke, R., Kelly, R., & Hardy, A. (2021). A randomised multiple baseline cases series of a novel imagery rescripting protocol for intrusive trauma memories in people with psychosis. Journal of Behavior Therapy and Experimental Psychiatry, 101699. https://doi.org/10.1016/j.jbtep.2021.101699 CrossRefGoogle Scholar
Connell, J., & Barkham, M. (2007). Core-10 User Manual, Version 1.1. CORE System Trust & CORE Information Management Systems Ltd.Google Scholar
Crowe, M., & Sheppard, L. (2011). A general critical appraisal tool: an evaluation of construct validity. International Journal of Nursing Studies, 48, 15051516. https://doi.org/10.1016/j.ijnurstu.2011.06.004 CrossRefGoogle ScholarPubMed
Crowe, M., Sheppard, L., & Campbell, A. (2011). Comparison of the effects of using the Crowe Critical Appraisal Tool versus informal appraisal in assessing health research: a randomised trial. JBI Evidence Implementation, 9, 444449. https://doi.org/10.1111/j.1744-1609.2011.00237.x Google ScholarPubMed
Cuthbert, B. N., Lang, P. J., Strauss, C., Drobes, D., Patrick, C. J., & Bradley, M. M. (2003). The psychophysiology of anxiety disorder: fear memory imagery. Psychophysiology, 40, 407422. https://doi.org/10.1111/1469-8986.00043 CrossRefGoogle ScholarPubMed
Dalenberg, C., & Carlson, E. (2010). Severity of dissociative symptoms – Adult (Brief Dissociative Experience Scale [DES-B]-Modified). https://www.psychiatry.org/File%20Library/Psychiatrists/Practice/DSM/APA_DSM5_Severity-of-Dissociative-Symptoms-Adult.pdf Google Scholar
Edwards, D. (2007). Restructuring implicational meaning through memory-based imagery: some historical notes. Journal of Behavior Therapy and Experimental Psychiatry, 38, 306316. https://doi.org/10.1016/j.jbtep.2007.10.001 CrossRefGoogle ScholarPubMed
Ehlers, A., & Clark, D. M. (2000). A cognitive model of posttraumatic stress disorder. Behaviour Research and Therapy, 38, 319345. https://doi.org/10.1016/s0005-7967(99)00123-0 CrossRefGoogle ScholarPubMed
Ehlers, A., Clark, D. M., Hackmann, A., McManus, F., & Fennell, M. (2005). Cognitive therapy for post-traumatic stress disorder: development and evaluation. Behaviour Research and Therapy, 43, 413431. https://doi.org/10.1016/j.brat.2004.03.006 CrossRefGoogle ScholarPubMed
Espie, C. A., Kyle, S. D., Hames, P., Gardani, M., Fleming, L., & Cape, J. (2014). The Sleep Condition Indicator: a clinical screening tool to evaluate insomnia disorder. BMJ Open, 4, e004183. https://doi.org/10.1136/bmjopen-2013-004183 CrossRefGoogle ScholarPubMed
Foa, E. B., Cashman, L., Jaycox, L., & Perry, K. (1997). The validation of a self-report measure of posttraumatic stress disorder: the Posttraumatic Diagnostic Scale. Psychological Assessment, 9, 445451. https://doi.org/10.1037/1040-3590.9.4.445 CrossRefGoogle Scholar
Foa, E. B., Steketee, G., Turner, R. M., & Fischer, S. C. (1980). Effects of imaginal exposure to feared disasters in obsessive-compulsive checkers. Behaviour Research and Therapy, 18, 449455. https://doi.org/10.1016/0005-7967(80)90010-8 CrossRefGoogle ScholarPubMed
Forkert, A., Brown, P., Freeman, D., & Waite, F. (2021). A compassionate imagery intervention for patients with persecutory delusions. Behavioural and Cognitive Psychotherapy. https://doi.org/10.1017/S1352465821000229 CrossRefGoogle Scholar
Fowler, D., Freeman, D., Smith, B., Kuipers, E., Bebbington, P., Twiddy, H., Coker, S., Hodgekins, J., Gracie, A., Dunn, G., & Garety, P. (2006). The Brief Core Schema Scales (BCSS): psychometric properties and associations with paranoia and grandiosity in non-clinical and psychosis samples. Psychological Medicine, 36, 749759. https://doi.org/10.1017/S0033291706007355 CrossRefGoogle ScholarPubMed
Freeman, D. (2016). Persecutory delusions: a cognitive perspective on understanding and treatment. The Lancet Psychiatry, 3, 685692. https://doi.org/10.1016/S2215-0366(16)00066-3 CrossRefGoogle ScholarPubMed
Freeman, D., & Garety, P. (2014). Advances in understanding and treating persecutory delusions: a review. Social Psychiatry and Psychiatric Epidemiology, 49, 11791189. https://doi.org/10.1007/s00127-014-0928-7 CrossRefGoogle ScholarPubMed
Freeman, D., Garety, P. A., Bebbington, P. E., Smith, B., Rollinson, R., Fowler, D., Kuipers, E., Ray, K., & Dunn, G. (2005). Psychological investigation of the structure of paranoia in a non-clinical population. British Journal of Psychiatry, 186, 427435. https://doi.org/10.1192/bjp.186.5.427 CrossRefGoogle Scholar
Freeman, D., McManus, S., Brugha, T., Meltzer, H., Jenkins, R., & Bebbington, P. (2011). Concomitants of paranoia in the general population. Psychological Medicine, 41, 923936. https://doi.org/10.1017/S0033291710001546 CrossRefGoogle ScholarPubMed
Freeman, D., Pugh, K., Dunn, G., Evans, N., Sheaves, B., Waite, F., Černis, E., Lister, R., & Fowler, D. (2014a). An early Phase II randomised controlled trial testing the effect on persecutory delusions of using CBT to reduce negative cognitions about the self: the potential benefits of enhancing self confidence. Schizophrenia Research, 160, 186192. https://doi.org/10.1016/j.schres.2014.10.038 CrossRefGoogle Scholar
Freeman, D., Startup, H., Dunn, G., Wingham, G., Černis, E., Evans, N., Lister, R., Pugh, K., Cordwell, J., & Kingdon, D. (2014b). Persecutory delusions and psychological well-being. Social Psychiatry and Psychiatric Epidemiology, 49, 10451050. https://doi.org/10.1007/s00127-013-0803-y CrossRefGoogle ScholarPubMed
Gairns, S., Alvarez-Jimenez, M., Hulbert, C., McGorry, P., & Bendall, S. (2015). Perceptions of clinicians treating young people with first-episode psychosis for post-traumatic stress disorder. Early Intervention in Psychiatry, 9, 1220. https://doi.org/10.1111/eip.12065 CrossRefGoogle ScholarPubMed
Garety, P. A., & Freeman, D. (2013). The past and future of delusions research: from the inexplicable to the treatable. British Journal of Psychiatry, 203, 327333. https://doi.org/10.1192/bjp.bp.113.126953 CrossRefGoogle Scholar
Garg, A. X., Hackam, D., & Tonelli, M. (2008). Systematic review and meta-analysis: when one study is just not enough. Clinical Journal of the American Society of Nephrology, 3, 253260. https://doi.org/10.2215/CJN.01430307 CrossRefGoogle Scholar
Gilbert, P. (2005). Compassion: Conceptualisations, Research and Use in Psychotherapy. Routledge.CrossRefGoogle Scholar
Gilbert, P. (2010). Compassion Focused Therapy: Distinctive Features. Routledge. https://doi.org/10.4324/9780203851197 CrossRefGoogle Scholar
Gilbert, P., Clarke, M., Hempel, S., Miles, J. N. V., & Irons, C. (2004). Criticizing and reassuring oneself: an exploration of forms, styles and reasons in female students. British Journal of Clinical Psychology, 43, 3150. https://doi.org/10.1348/014466504772812959 CrossRefGoogle ScholarPubMed
Green, C. E. L., Freeman, D., Kuipers, E., Bebbington, P., Fowler, D., Dunn, G., & Garety, P. A. (2008). Measuring ideas of persecution and social reference: the Green et al. Paranoid Thought Scales (GPTS). Psychological Medicine, 38, 101111. https://doi.org/10.1017/S0033291707001638 CrossRefGoogle Scholar
Hackmann, A. (1997). The transformation of meaning in cognitive therapy. In Power, M. & Brewin, C. R. (eds), Transformation of Meaning in Psychological Therapies. Wiley. https://www.wiley.com/en-us/The+Transformation+of+Meaning+in+Psychological+Therapies%3A+Integrating+Theory+and+Practice-p-9780471970057 Google Scholar
Hackmann, A., Bennett-Levy, J., & Holmes, E. A. (2011). Oxford Guide to Imagery in Cognitive Therapy. Oxford: Oxford University Press.CrossRefGoogle Scholar
Haddock, G. (2009). The Psychotic Symptom Rating Scales: User Manual [unpublished manual].Google Scholar
Haddock, G., McCARRON, J., Tarrier, N., & Faragher, E. B. (1999). Scales to measure dimensions of hallucinations and delusions: the Psychotic Symptom Rating Scales (PSYRATS). Psychological Medicine, 29, 879889. https://doi.org/10.1017/S0033291799008661 CrossRefGoogle ScholarPubMed
Hatcher, R. L., & Gillaspy, J. A. (2006). Development and validation of a revised short version of the working alliance inventory. Psychotherapy Research, 16, 1225. https://doi.org/10.1080/10503300500352500 CrossRefGoogle Scholar
Holmes, E. A., Arntz, A., & Smucker, M. R. (2007). Imagery rescripting in cognitive behaviour therapy: images, treatment techniques and outcomes. Journal of Behavior Therapy and Experimental Psychiatry, 38, 297305. https://doi.org/10.1016/j.jbtep.2007.10.007 CrossRefGoogle Scholar
Holmes, E. A., Blackwell, S. E., Burnett Heyes, S., Renner, F., & Raes, F. (2016a). Mental imagery in depression: phenomenology, potential mechanisms, and treatment implications. Annual Review of Clinical Psychology, 12, 249280. https://doi.org/10.1146/annurev-clinpsy-021815-092925 CrossRefGoogle ScholarPubMed
Holmes, E. A., Geddes, J. R., Colom, F., & Goodwin, G. M. (2008). Mental imagery as an emotional amplifier: application to bipolar disorder. Behaviour Research and Therapy, 46, 12511258. https://doi.org/10.1016/j.brat.2008.09.005 CrossRefGoogle Scholar
Holmes, E. A., Lang, T. J., & Deeprose, C. (2009). Mental imagery and emotion in treatment across disorders: using the example of depression. Cognitive Behaviour Therapy, 38, 2128. https://doi.org/10.1080/16506070902980729 CrossRefGoogle ScholarPubMed
Holmes, E. A., & Mathews, A. (2010). Mental imagery in emotion and emotional disorders. Clinical Psychology Review, 30, 349362. https://doi.org/10.1016/j.cpr.2010.01.001 CrossRefGoogle ScholarPubMed
Hutton, P. (2016). Positive clinical psychology and the promotion of happiness, compassion, and autonomy in people wiht psychosis. In Wood, A. M. & Johnson, J. (eds), The Wiley Handbook of Positive Clinical Psychology (pp. 245260). Wiley.CrossRefGoogle Scholar
Jolley, S., Garety, P. A., Ellett, L., Kuipers, E., Freeman, D., Bebbington, P. E., Fowler, D. G., & Dunn, G. (2006). A validation of a new measure of activity in psychosis. Schizophrenia Research, 85, 288295. https://doi.org/10.1016/j.schres.2006.03.012 CrossRefGoogle ScholarPubMed
Kay, S. R., Fiszbein, A., & Opler, L. A. (1987). The Positive and Negative Syndrome Scale (PANSS) for schizophrenia. Schizophrenia Bulletin, 13, 261276. https://doi.org/10.1093/schbul/13.2.261 CrossRefGoogle ScholarPubMed
Kemps, E., & Tiggemann, M. (2015). A role for mental imagery in the experience and reduction of food cravings. Frontiers in Psychiatry, 5, 193. https://doi.org/10.3389/fpsyt.2014.00193 CrossRefGoogle ScholarPubMed
Kindt, M., Buck, N., Arntz, A., & Soeter, M. (2008). Perceptual and conceptual processing as predictors of treatment outcome in PTSD. Journal of Behavior Therapy and Experimental Psychiatry, 38, 491506. https://doi.org/10.1016/j.jbtep.2007.10.002 CrossRefGoogle Scholar
Kolts, R. (2012). The Compassionate Mind Approach to Managing Your Anger. Hachette UK. https://www.hachette.co.uk/titles/russell-kolts/the-compassionate-mind-approach-to-managing-your-anger/9781849015592/ Google Scholar
Koodun, S., Dudhia, R., Abifarin, B., & Greenhalgh, N. (2021). Racial and Ethnic Eisparities in Mental Health Care. The Pharmaceutical Journal. https://pharmaceutical-journal.com/article/research/racial-and-ethnic-disparities-in-mental-health-care Google Scholar
Kosslyn, S. M., Ganis, G., & Thompson, W. L. (2001). Neural foundations of imagery. Nature Reviews Neuroscience, 2, 635642. https://doi.org/10.1038/35090055 CrossRefGoogle ScholarPubMed
Kosslyn, S. M., Thompson, W. L., Klm, I. J., & Alpert, N. M. (1995). Topographical representations of mental images in primary visual cortex. Nature, 378, 496498.CrossRefGoogle ScholarPubMed
Krakow, B. (2006). Nightmare complaints in treatment-seeking patients in clinical sleep medicine settings: diagnostic and treatment implications. Sleep, 29, 13131319. https://doi.org/10.1093/sleep/29.10.1313 CrossRefGoogle ScholarPubMed
Laitila, M., Nummelin, J., Kortteisto, T., & Pitkänen, A. (2018). Service users’ views regarding user involvement in mental health services: a qualitative study. Archives of Psychiatric Nursing, 32, 695701. https://doi.org/10.1016/j.apnu.2018.03.009 CrossRefGoogle ScholarPubMed
Landkroon, E., Meyerbröker, K., Salemink, E., & Engelhard, I. M. (2022). Future-oriented imagery rescripting facilitates conducting behavioral experiments in social anxiety. Behaviour Research and Therapy, 155, 104130.CrossRefGoogle ScholarPubMed
Lee, D., & James, S. (2011). The Compassionate-Mind Guide to Recovering from Trauma and PTSD. New Harbinger Publications. https://cmc.marmot.org/Record/.b3596103x Google Scholar
Levin, R., & Fireman, G. (2002). Nightmare prevalence, nightmare distress, and self-reported psychological disturbance. Sleep: Journal of Sleep and Sleep Disorders Research, 25, 205212.Google ScholarPubMed
Lobbestael, J., van Vreeswijk, M., Spinhoven, P., Schouten, E., & Arntz, A. (2010). Reliability and validity of the short Schema Mode Inventory (SMI). Behavioural and Cognitive Psychotherapy, 38, 437458. https://doi.org/10.1017/S1352465810000226 CrossRefGoogle ScholarPubMed
Lovibond, P. F., & Lovibond, S. H. (1995). The structure of negative emotional states: Comparison of the Depression Anxiety Stress Scales (DASS) with the Beck Depression and Anxiety Inventories. Behaviour Research and Therapy, 33, 335343. https://doi.org/10.1016/0005-7967(94)00075-U CrossRefGoogle ScholarPubMed
Mathews, A., & MacLeod, C. (2002). Induced processing biases have causal effects on anxiety. Cognition & Emotion, 16, 331354. https://doi.org/10.1080/02699930143000518 CrossRefGoogle Scholar
McEvoy, P. M., Erceg-Hurn, D. M., Saulsman, L. M., & Thibodeau, M. A. (2015). Imagery enhancements increase the effectiveness of cognitive behavioural group therapy for social anxiety disorder: a benchmarking study. Behaviour Research and Therapy, 65, 4251. https://doi.org/10.1016/j.brat.2014.12.011 CrossRefGoogle ScholarPubMed
McEvoy, P. M., Saulsman, L. M., & Rapee, R. M. (2018). Imagery-Enhanced CBT for Social Anxiety Disorder. Guilford Publications.Google ScholarPubMed
Microsoft Corporation (2018). Microsoft Excel. https://office.microsoft.com/excel Google Scholar
Morgan, C., Fearon, P., Lappin, J., Heslin, M., Donoghue, K., Lomas, B., Reininghaus, U., Onyejiaka, A., Croudace, T., Jones, P. B., Murray, R. M., Doody, G. A., & Dazzan, P. (2017). Ethnicity and long-term course and outcome of psychotic disorders in a UK sample: the ÆSOP-10 study. British Journal of Psychiatry, 211, 8894. https://doi.org/10.1192/bjp.bp.116.193342 CrossRefGoogle Scholar
Morina, N., Lancee, J., & Arntz, A. (2017). Imagery rescripting as a clinical intervention for aversive memories: a meta-analysis. Journal of Behavior Therapy and Experimental Psychiatry, 55, 615. https://doi.org/10.1016/j.jbtep.2016.11.003 CrossRefGoogle ScholarPubMed
Morrison, A. (2004). The use of imagery in cognitive therapy for psychosis: a case example. Memory, 12, 517524. https://doi.org/10.1080/09658210444000142 CrossRefGoogle ScholarPubMed
Morrison, A. P., Beck, A. T., Glentworth, D., Dunn, H., Reid, G. S., Larkin, W., & Williams, S. (2002). Imagery and psychotic symptoms: a preliminary investigation. Behaviour Research and Therapy, 40, 10531062. https://doi.org/10.1016/s0005-7967(01)00128-0 CrossRefGoogle ScholarPubMed
Nappi, C. M., Drummond, S. P. A., Thorp, S. R., & McQuaid, J. R. (2010). Effectiveness of imagery rehearsal therapy for the treatment of combat-related nightmares in veterans. Behavior Therapy, 41, 237244. https://doi.org/10.1016/j.beth.2009.03.003 CrossRefGoogle ScholarPubMed
National Institute for Health Research (2021). Briefing Notes for Researchers – Public Involvement in NHS, Health and Social Care Research. https://www.nihr.ac.uk/documents/briefing-notes-for-researchers-public-involvement-in-nhs-health-and-social-care-research/27371#NIHR_information Google Scholar
Neff, K. D. (2003). The development and validation of a scale to measure self-compassion. Self and Identity, 2, 223250. https://doi.org/10.1080/15298860309027 CrossRefGoogle Scholar
Nelis, S., Holmes, E., Griffith, J., & Raes, F. (2014). Mental imagery during daily life: psychometric evaluation of the Spontaneous Use of Imagery Scale (SUIS). Psychologica Belgica, 54, 1932. https://doi.org/10.5334/pb.ag CrossRefGoogle ScholarPubMed
Newman-Taylor, K. (2020). ‘Felt security’ as a means of facilitating imagery rescripting in psychosis: a clinical protocol and illustrative case study. Cognitive Behaviour Therapist, 13, e24. https://doi.org/10.1017/S1754470X20000288 CrossRefGoogle Scholar
Newman-Taylor, K., McSherry, P., & Stopa, L. (2020). Imagery rescripting in non-clinical paranoia: a pilot study of the impact on key cognitive and affective processes. Behavioural and Cognitive Psychotherapy, 48, 5466. https://doi.org/10.1017/S1352465819000419 CrossRefGoogle ScholarPubMed
Omeni, E., Barnes, M., MacDonald, D., Crawford, M., & Rose, D. (2014). Service user involvement: impact and participation: a survey of service user and staff perspectives. BMC Health Services Research, 14, 491. https://doi.org/10.1186/s12913-014-0491-7 CrossRefGoogle ScholarPubMed
Page, M. J., McKenzie, J. E., Bossuyt, P. M., Boutron, I., Hoffmann, T. C., Mulrow, C. D., Shamseer, L., Tetzlaff, J. M., Akl, E. A., Brennan, S. E., Chou, R., Glanville, J., Grimshaw, J. M., Hróbjartsson, A., Lalu, M. M., Li, T., Loder, E. W., Mayo-Wilson, E., McDonald, S., & Moher, D. (2021). The PRISMA 2020 statement: an updated guideline for reporting systematic reviews. BMJ, 372. https://doi.org/10.1136/bmj.n71 CrossRefGoogle Scholar
Pearson, D. G., Deeprose, C., Wallace-Hadrill, S. M. A., Heyes, S. B., & Holmes, E. A. (2013). Assessing mental imagery in clinical psychology: a review of imagery measures and a guiding framework. Clinical Psychology Review, 33, 123. https://doi.org/10.1016/j.cpr.2012.09.001 CrossRefGoogle Scholar
Pearson, J., Naselaris, T., Holmes, E. A., & Kosslyn, S. M. (2015). Mental imagery: functional mechanisms and clinical applications. Trends in Cognitive Sciences, 19, 590602. https://doi.org/10.1016/j.tics.2015.08.003 CrossRefGoogle ScholarPubMed
Pile, V., Williamson, G., Saunders, A., Holmes, E. A., & Lau, J. Y. F. (2021). Harnessing emotional mental imagery to reduce anxiety and depression in young people: an integrative review of progress and promise. The Lancet Psychiatry, 8, 836852. https://doi.org/10.1016/S2215-0366(21)00195-4 CrossRefGoogle Scholar
Pitfield, C., Maguire, T., & Newman-Taylor, K. (2020). Impact of attachment imagery on paranoia and mood: evidence from two single case studies. Behavioural and Cognitive Psychotherapy, 48, 572583. https://doi.org/10.1017/S1352465820000351 CrossRefGoogle ScholarPubMed
Renner, F., Ji, J. L., Pictet, A., Holmes, E. A., & Blackwell, S. E. (2017). Effects of engaging in repeated mental imagery of future positive events on behavioural activation in individuals with major depressive disorder. Cognitive Therapy and Research, 41, 369380. https://doi.org/10.1007/s10608-016-9776-y CrossRefGoogle ScholarPubMed
Ronald, A., Sieradzka, D., Cardno, A., Haworth, C., McGuire, P., & Freeman, D. (2013). Characterization of psychotic experiences in adolescence using the Specific Psychotic Experiences Questionnaire (SPEQ): findings from a study of 5000 16 year old twins. Schizophrenia Bulletin. doi:10.1093/schbul/sbt106 CrossRefGoogle Scholar
Rosenberg, M. (1965). Rosenberg Self-Esteem Scale in Society and the Adolescent Self-image. Princeton, NJ: Princeton University Press.CrossRefGoogle Scholar
Ross, P. T., Hart-Johnson, T., Santen, S. A., & Zaidi, N. L. B. (2020). Considerations for using race and ethnicity as quantitative variables in medical education research. Perspectives on Medical Education, 9, 318323. https://doi.org/10.1007/s40037-020-00602-3 CrossRefGoogle ScholarPubMed
Sasaki, E., & Overall, N. (2020). A dyadic perspective of felt security: does partners’ security buffer the effects of actors’ insecurity in dailt commitment. International Journal of Environmental Research and Public Health, 17. https://doi.org/doi.org/10.3390/ijerph17207411 CrossRefGoogle Scholar
Saulsman, L. M., Ji, J. L., & Mcevoy, P. M. (2019). The essential role of mental imagery in cognitive behaviour therapy: what is old is new again. Australian Psychologist, 54, 237244. https://doi.org/10.1111/ap.12406 CrossRefGoogle Scholar
Schlier, B., Moritz, S., & Lincoln, T. M. (2016). Measuring fluctuations in paranoia: validity and psychometric properties of brief state versions of the Paranoia Checklist. Psychiatry Research, 241, 323332. https://doi.org/10.1016/j.psychres.2016.05.002 CrossRefGoogle ScholarPubMed
Schulze, K., Freeman, D., Green, C., & Kuipers, E. (2013). Intrusive mental imagery in patients with persecutory delusions. Behaviour Research and Therapy, 51, 714. https://doi.org/10.1016/j.brat.2012.10.002 CrossRefGoogle ScholarPubMed
Serruya, G., & Grant, P. (2009). Cognitive-behavioral therapy of delusions: mental imagery within a goal-directed framework. Journal of Clinical Psychology, 65, 791802. https://doi.org/10.1002/jclp.v65:810.1002/jclp.20616 CrossRefGoogle ScholarPubMed
Sheaves, B., Holmes, E. A., Rek, S., Taylor, K. M., Nickless, A., Waite, F., Germain, A., Espie, C. A., Harrison, P. J., Foster, R., & Freeman, D. (2019). Cognitive behavioural therapy for nightmares for patients with persecutory delusions (Nites): an assessor-blind, pilot randomized controlled trial. Canadian Journal of Psychiatry, 070674371984742. https://doi.org/10.1177/0706743719847422 CrossRefGoogle Scholar
Sheaves, B., Onwumere, J., Keen, N., & Kuipers, E. (2015). Treating your worst nightmare: a case-series of imagery rehearsal therapy for nightmares in individuals experiencing psychotic symptoms. the Cognitive Behaviour Therapist, 8, e27. https://doi.org/10.1017/S1754470X15000665 CrossRefGoogle Scholar
Shepard, R. N., & Metzler, J. (1971). Mental rotation of three-dimensional objects. Science, 171, 701703. https://doi.org/10.1126/science.171.3972.701 CrossRefGoogle ScholarPubMed
Sin, J., Spain, D., Furuta, M., Murrells, T., & Norman, I. (2017). Psychological interventions for post-traumatic stress disorder (PTSD) in people with severe mental illness. The Cochrane Database of Systematic Reviews, CD011464. https://doi.org/10.1002/14651858.CD011464.pub2 CrossRefGoogle Scholar
Singer, J. L. (2006). Imagery in Psychotherapy. American Psychological Association. https://doi.org/10.1037/11366-000 CrossRefGoogle Scholar
Stemmler, G., Heldmann, M., Pauls, C. A., & Scherer, T. (2001). Constraints for emotion specificity in fear and anger: the context counts. Psychophysiology, 38, 275291. https://doi.org/10.1111/1469-8986.3820275 CrossRefGoogle ScholarPubMed
Stopa, L. (2009). Imagery and the threatened self: an introduction. In Imagery and the Threatened Self. Routledge.CrossRefGoogle Scholar
Taylor, C. D. J., Bee, P. E., Kelly, J., Emsley, R., & Haddock, G. (2020). iMAgery focused psychological therapy for persecutory delusions in PSychosis (iMAPS): a multiple baseline experimental case series. Behavioural and Cognitive Psychotherapy, 48, 1545. https://doi.org/10.1017/S1352465820000168 CrossRefGoogle ScholarPubMed
Tennant, R., Hiller, L., Fishwick, R., Platt, S., Joseph, S., Weich, S., Parkinson, J., Secker, J., & Stewart-Brown, S. (2007). The Warwick-Edinburgh Mental Well-being Scale (WEMWBS): development and UK validation. Health and Quality of Life Outcomes, 5, 63. https://doi.org/10.1186/1477-7525-5-63 CrossRefGoogle ScholarPubMed
Turkington, D., Lebert, L., & Spencer, H. (2016). Auditory hallucinations in schizophrenia: Helping patients to develop effective coping strategies. BJ Psych Advances, 22, 391396. https://doi.org/10.1192/apt.bp.115.015214 Google Scholar
van der Hart, O., Brown, P., & Van der Kolk, B. A. (1989). Pierre Janet’s treatment of post-traumatic stress. Journal of Traumatic Stress, 2, 379395. https://doi.org/10.1002/jts.2490020404 CrossRefGoogle Scholar
Watson, D., Anna, L., & Tellegen, A. (1988). Development and validation of brief measures of positive and negative affect: the PANAS Scales. Jounal of Personality and Social Psychology, 54, 10631070. https://doi.org/0022-3514/88/$00.75 CrossRefGoogle ScholarPubMed
Welford, M. (2012). The Compassionate Mind Approach to Building Self-Confidence (series editor, Gilbert, Paul). Hachette UK.Google Scholar
Wild, J., & Clark, D. M. (2011). Imagery rescripting of early traumatic memories in social phobia. Cognitive and Behavioral Practice, 18, 433443. https://doi.org/10.1016/j.cbpra.2011.03.002 CrossRefGoogle ScholarPubMed
World Health Organisation (2019). International statistical classification of diseases and related health problems (11th edn). https://icd.who.int/ Google Scholar
Young, J. E., & Brown, G. (2003). Young Schema Questionnaire – L3a. Cognitive Therapy Centre of New York.CrossRefGoogle Scholar
Figure 0

Figure 1. PRISMA flow diagram.

Figure 1

Table 1. Studies utilising an imagery-focused intervention in a population of people with psychosis and delusions

Figure 2

Table 2. Quality appraisal CCAT scores for included papers

Supplementary material: File

Cairns et al. supplementary material

Cairns et al. supplementary material
Download Cairns et al. supplementary material(File)
File 824 KB
Submit a response

Comments

No Comments have been published for this article.