Hostname: page-component-5c6d5d7d68-wpx84 Total loading time: 0 Render date: 2024-08-31T11:52:47.245Z Has data issue: false hasContentIssue false

The use of e-mental health tools in the perinatal context

Published online by Cambridge University Press:  27 August 2024

Ana Fonseca*
Affiliation:
Post-doctoral researcher in the Center for Research in Neuropsychology and Cognitive Behavioral Intervention, Faculty of Psychology and Educational Sciences, University of Coimbra, Coimbra, Portugal.
Elisa Mancinelli
Affiliation:
PhD student in the Department of Developmental and Socialization Psychology, University of Padua, Padua, Italy and works at the Digital Health Laboratory, Centre for Digital Health and Wellbeing, Fondazione Bruno Kessler, Trento, Italy.
Mariana Branquinho
Affiliation:
PhD student in the Center for Research in Neuropsychology and Cognitive Behavioral Intervention, Faculty of Psychology and Educational Sciences, University of Coimbra, Coimbra, Portugal.
*
Correspondence Ana Fonseca. Email: ana.fonseca77@gmail.com

Summary

E-mental health tools are a promising solution to reducing the high prevalence of perinatal mood and anxiety disorders and addressing barriers faced by women seeking professional help. This article summarises the main e-health tools used in perinatal mental healthcare, including examples of evidence-based tools for assessment, prevention and treatment of such disorders. We also highlight the main characteristics of the development process of e-mental health tools, which are based on cognitive–behavioural therapy, as well as the ethical concerns to be considered with their use and integration in healthcare systems.

Type
Article
Copyright
Copyright © The Author(s), 2024. Published by Cambridge University Press on behalf of Royal College of Psychiatrists

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Barak, A, Klein, B, Proudfoot, J (2009) Defining internet-supported therapeutic interventions. Annals of Behavioral Medicine, 38: 417.CrossRefGoogle ScholarPubMed
Baumel, A, Tinkelman, A, Mathur, N, et al (2018) Digital peer-support platform (7Cups) as an adjunct treatment for women with postpartum depression: feasibility, acceptability, and preliminary efficacy study. JMIR MHealth and Uhealth, 6: e38.CrossRefGoogle ScholarPubMed
Berger, T (2017) The therapeutic alliance in internet interventions: a narrative review and suggestions for future research. Psychotherapy Research, 27: 511–24.CrossRefGoogle ScholarPubMed
Blackmore, R, Boyle, JA, Gray, KM, et al (2022) Introducing and integrating perinatal mental health screening: development of an equity-informed evidence-based approach. Health Expectations, 25: 2287–98.CrossRefGoogle ScholarPubMed
Button, S, Thornton, A, Lee, S, et al (2017) Seeking help for perinatal psychological distress: a meta-synthesis of women's experiences. British Journal of General Practice, 67: e692–9.CrossRefGoogle ScholarPubMed
Carona, C, Pereira, M, Araújo-Pedrosa, A, et al (2023) The efficacy of Be a Mom, a web-based intervention to prevent postpartum depression: examining mechanisms of change in a randomized controlled trial. JMIR Mental Health, 10: e39253.CrossRefGoogle Scholar
Christensen, H, Griffiths, K, Evans, K (2002) E-Mental Health in Australia: Implications of the Internet and Related Technologies for Policy (ISC Discussion Paper No 3). Centre for Mental Health Research - The Australian National University, Canberra.Google Scholar
Dol, J, Richardson, B, Murphy, G, et al (2020) Impact of mobile health interventions during the perinatal period on maternal psychosocial outcomes: a systematic review. JBI Evidence Synthesis, 18: 3055.CrossRefGoogle ScholarPubMed
Feldman, N, Perret, S (2023) Digital mental health for postpartum women: perils, pitfalls, and promise. NPJ Digital Medicine, 6: 11.CrossRefGoogle ScholarPubMed
Gemert-Pijnen, J, Nijland, N, Limburg, M, et al (2011) A holistic framework to improve the uptake and impact of eHealth technologies. Journal of Medical Internet Research, 13: e111.CrossRefGoogle ScholarPubMed
Gonzalez, C, Ramirez, M, Mata-Greve, F, et al (2022) Acceptability of virtual therapy for postpartum women during COVID-19: a national mixed methods study. Frontiers in Psychiatry, 13: 893073.CrossRefGoogle ScholarPubMed
Green, E, Lai, Y, Pearson, N, et al (2020) Expanding access to perinatal depression treatment in Kenya through automated psychological support: development and usability study. JMIR Formative Research, 5: e17895.CrossRefGoogle Scholar
Hensel, J, Yang, R, Vigod, S, et al (2020) Videoconferencing at home for psychotherapy in the postpartum period: identifying drivers of successful engagement and important therapeutic conditions for meaningful use. Counselling & Psychotherapy Research, 21: 535–44.CrossRefGoogle Scholar
Houser, S, Flite, CA, Foster, S (2023) Privacy and security risk factors related to telehealth services – a systematic review. Perspectives in Health Information Management, 20: 1f.Google ScholarPubMed
Hussain-Shamsy, N, Shah, A, Vigod, S, et al (2020) Mobile health for perinatal depression and anxiety: scoping review. Journal of Medical Internet Research, 22: e17011.CrossRefGoogle ScholarPubMed
Jokinen, A, Stolt, M, Suhonen, R (2021) Ethical issues related to eHealth: an integrative review. Nursing Ethics, 28: 253–71.CrossRefGoogle ScholarPubMed
Kanotra, S, D'Angelo, D, Phares, TM, et al (2007) Challenges faced by new mothers in the early postpartum period: an analysis of comment data from the 2000 Pregnancy Risk Assessment Monitoring System (PRAMS) survey. Maternal Child Health Journal, 11: 549–58.CrossRefGoogle ScholarPubMed
Kingston, D, Austin, M-P, van Zanten, S, et al (2017) Pregnant women's views on the feasibility and acceptability of web-based mental health E-screening versus paper-based screening: a randomized controlled trial. Journal of Medical Internet Research, 19: e88.CrossRefGoogle ScholarPubMed
Lazarides, C, Ward, E, Buss, C, et al (2020) Psychological stress and cortisol during pregnancy: an ecological momentary assessment (EMA)-based within- and between-person analysis. Psychoneuroendocrinology, 121: 104848.CrossRefGoogle ScholarPubMed
Lee, EW, Denison, FC, Hor, K, et al (2016) Web-based interventions for prevention and treatment of perinatal mood disorders: a systematic review. BMC Pregnancy and Childbirth, 16: 38.CrossRefGoogle ScholarPubMed
Martinez-Borba, V, Suso-Ribera, C, Osma, J (2019) Usability, acceptability, and feasibility of two technology-based devices for mental health screening in perinatal care: a comparison of web versus app. In Pervasive Computing Paradigms for Mental Health. MindCare 2019 (Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol. 288) (eds Cipresso, P, Serino, S, Villani, D): 176–89. Springer.Google Scholar
Martin-Key, N, Spadaro, B, Schei, T, et al (2021) Proof-of-concept support for the development and implementation of a digital assessment for perinatal mental health: mixed methods study. Journal of Medical Internet Research, 23: e27132.CrossRefGoogle ScholarPubMed
Milgrom, J, Danaher, B, Gemmilll, A, et al (2016) Internet cognitive behavioral therapy for women with postnatal depression: a randomized controlled trial of MumMoodBooster. Journal of Medical Internet Research, 18: e54.CrossRefGoogle ScholarPubMed
Montalto, M (2014) The ethical implications of using technology in psychological testing and treatment. Ethical Human Psychology and Psychiatry, 16: 127–36.CrossRefGoogle Scholar
Newham, J, Martin, C (2013) Measuring fluctuations in maternal wellbeing and mood across pregnancy. Journal of Reproductive and Infant Psychology, 31: 531–40.CrossRefGoogle Scholar
Noben, L, Gooseens, SMTA, Truijens, SEM, et al (2019) A virtual reality video to improve information provision and reduce anxiety before cesarean delivery: randomized controlled trial. JMIR Mental Health, 6: e15872.CrossRefGoogle ScholarPubMed
Novick, AM, Kwitowski, M, Dempsey, J, et al (2022) Technology-based approaches for supporting perinatal mental health. Current Psychiatry Reports, 24: 419–29.CrossRefGoogle ScholarPubMed
Parameswaran, U, Pentecost, R, Williams, M, et al (2022) Experiences with use of technology and telehealth among women with perinatal depression. BMC Pregnancy and Childbirth, 22: 571.CrossRefGoogle ScholarPubMed
Reynolds, C, Suzuki, L (2013) Bias in psychological assessment: an empirical review and recommendations. In Handbook of Psychology: Assessment Psychology (2nd edn) (eds Graham, JR, Naglieri, JA, Weiner, IB): 82113. John Wiley & Sons.Google Scholar
Rounsaville, B, Carroll, K, Onken, L (2001) A stage model of behavioral therapies research: getting started and moving on from stage I. Clinical Psychology Science and Practice, 8: 133–42.CrossRefGoogle Scholar
Schlief, M, Saunders, K, Appleton, R, et al (2022) Synthesis of the evidence of what works for whom in telemental health: rapid realist review. Interactive Journal of Medical Research, 11: e38239.CrossRefGoogle ScholarPubMed
Schmidt-Hantke, J, Jacobi, C (2023) Investigating perspectives on e-health interventions to enhance maternal mental well-being: results of a stakeholder interview. PLoS Digital Health, 2: e0000326.CrossRefGoogle ScholarPubMed
Slomian, J, Honvo, G, Emonts, P, et al (2019) Consequences of maternal postpartum depression: a systematic review of maternal and infant outcomes. Women's Health, 15: 1745506519844044.CrossRefGoogle ScholarPubMed
Stamou, G, Garcia-Palacios, A, Woodford, B, et al (2021) The combination of cognitive-behavioural therapy with virtual reality for the treatment of postnatal depression in a brief intervention context: a single-case study trial. Journal of Healthcare Engineering, 19: 5514770.Google Scholar
Stentzel, U, Grabe, HJ, Schmidt, S, et al (2023) Mental health-related telemedicine interventions for pregnant women and new mothers: a systematic literature review. BMC Psychiatry, 23: 292.CrossRefGoogle ScholarPubMed
Turchioe, M, Harkins, S, Desai, S, et al (2023) Women's perspectives on the use of artificial intelligence (AI)-based technologies in mental healthcare. JAMIA Open, 6: ooad048.CrossRefGoogle Scholar
Tyokighir, D, Hervey, A, Schunn, C, et al (2022) Qualitative assessment of access to perinatal mental health care: a social-ecological framework of barriers. Kansas Journal of Medicine, 15: 4854.CrossRefGoogle Scholar
van den Heuvel, J, Groenhof, K, Veerbeek, J, et al (2018) Ehealth as the next-generation perinatal care: an overview of the literature. Journal of Medical Internet Research, 20: e202.CrossRefGoogle ScholarPubMed
Vanderkruik, R, Raffi, E, Freeman, MP, et al (2021) Perinatal depression screening using smartphone technology: exploring uptake, engagement and future directions for the MGH Perinatal Depression Scale (MGHPDS). PLoS One, 16: e0257065.CrossRefGoogle ScholarPubMed
Wind, TR, Rijkeboer, M, Andersson, G, et al (2020) The COVID-19 pandemic: the ‘black swan’ for mental health care and a turning point for e-health. Internet Interventions, 20: 100317.CrossRefGoogle Scholar
Wykes, T, Lipshitz, J, Schueller, S (2019) Towards the design of ethical standards related to digital mental health and all its applications. Current Treatment Options in Psychology, 6: 232–42.CrossRefGoogle Scholar
Submit a response

eLetters

No eLetters have been published for this article.