Hostname: page-component-7bb8b95d7b-495rp Total loading time: 0 Render date: 2024-09-29T10:17:49.585Z Has data issue: false hasContentIssue false

Evidence-Based Policy Making during the Coronavirus Disease 2019 Pandemic: A Systematic Review

Published online by Cambridge University Press:  06 March 2023

Shinpei Matsuda*
Affiliation:
Department of Dentistry and Oral Surgery, Unit of Sensory and Locomotor Medicine, Division of Medicine, Faculty of Medical Sciences, University of Fukui, Fukui, Japan
Hitoshi Yoshimura
Affiliation:
Department of Dentistry and Oral Surgery, Unit of Sensory and Locomotor Medicine, Division of Medicine, Faculty of Medical Sciences, University of Fukui, Fukui, Japan
*
Correspondence: Shinpei Matsuda Department of Dentistry and Oral Surgery Unit of Sensory and Locomotor Medicine Division of Medicine Faculty of Medical Sciences University of Fukui 23-3 Matsuokashimoaizuki, Eiheiji-cho Yoshida-gun, Fukui 910-1193, Japan E-mail: shinpeim@u-fukui.ac.jp
Rights & Permissions [Opens in a new window]

Abstract

Introduction:

The aim of this systematic review was to collect evidence and recommendations for the applicability of the concept of evidence-based policy making (EBPM) during the coronavirus disease 2019 (COVID-19) pandemic and to discuss the implementation of this concept from a medical science perspective.

Methods:

This study was performed according to the guidelines, checklist, and flow diagram of Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) 2020. An electronic literature search was conducted on September 20, 2022 using PubMed, Web of Science, Cochrane Library, and CINAHL databases with the following search terms: “evidence based policy making” and “infectious disease.” Study eligibility assessment was performed based on the flow diagram of PRISMA 2020, and risk of bias assessment was performed using The Critical Appraisal Skills Program.

Results:

Eleven eligible articles were included in this review and divided into three groups as follows: early, middle, and late stages of the COVID-19 pandemic. Basics of COVID-19 control were suggested in the early stage. The articles published in the middle stage discussed the importance of the collection and analysis of evidence of COVID-19 from around the world for the establishment of EBPM in the COVID-19 pandemic. The articles published in the late stage discussed the collection of large amounts of high-quality data and the development of methods to analyze them, as well as emerging issues related to the COVID-19 pandemic.

Conclusions:

This study revealed that the concept of EBPM applicable to emerging infectious disease pandemics changed between the early, middle, and late stages of the pandemic. The concept of EBPM will play an important role in medicine in the future.

Type
Systematic Review
Copyright
© The Author(s), 2023. Published by Cambridge University Press on behalf of the World Association for Disaster and Emergency Medicine

Introduction

The first cases of coronavirus disease 2019 (COVID-19), caused by the severe acute respiratory syndrome coronavirus-2, were reported from Wuhan, China in December 2019. 1 Since then, COVID-19 has rapidly spread to other countries across the world, and more than six million people have died as a result. 1,2 Despite advances in the development and administration of drugs and vaccines, it remains a life-threatening infectious disease. 2,3

More than two years have passed since the World Health Organization (WHO; Geneva, Switzerland) declared a public health emergency on January 30, 2020. 1 The causative virus mutated repeatedly, and COVID-19 still affects public health and socioeconomics today. Reference Medeiros, Edwards and Baquet4 In the past two years, there has been much discussion about human life, public health, and socioeconomic aspects, but it is debatable whether appropriate decisions have been made regarding the most prolonged global infectious disease ever experienced by humankind in recent years.

In recent years, the term “evidence-based policy making” (EBPM) has received increasing attention; Reference Macintyre5,Reference Phillips, Castle and Smyth6 EBPM is established through systematic data collection on issues or topics, analysis of those collected data, and creation of evidence on which to base policy decisions. Reference Macintyre5Reference Hontelez, Bulstra, Yakusik, Lamontagne, Bärnighausen and Atun7 In the medical field, “evidence-based medicine” (EBM) is widely accepted, and guidelines have been created for each disease to standardize the medical care provided. Reference Murad and Saadi8 On the contrary, there may not have been sufficient discussion of the steps involved in creating a policy for the medical region. Policies related to infectious diseases should be developed based on appropriate and high-quality evidence as they affect public health. Reference Macintyre5Reference Hontelez, Bulstra, Yakusik, Lamontagne, Bärnighausen and Atun7

On September 15, 2022, WHO announced that the end of the COVID-19 pandemic “is in sight.” 9 In accordance with this announcement, the authors considered that a verification of the policies and responses regarding COVID-19 by researchers and stakeholders should be initiated.

The aim of this systematic review was to collect evidence and recommendations for the applicability of the EBPM concept during the COVID-19 pandemic and to discuss the implementation of EBPM from a medical science perspective during the COVID-19 pandemic declared by WHO (ie, from January 30, 2020 through September 15, 2022).

Methods

This systematic review was performed according to the guidelines, checklist, and flow diagram of Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) 2020 (Figure 1; Supplementary Material [available online only]). Reference Page, McKenzie and Bossuyt1012

Figure 1. Flow Diagram of Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) 2020.

Inclusion and Exclusion Criteria

The inclusion criteria were as follows: (1) literature associated with EBPM for infectious diseases; (2) literature on COVID-19; (3) literature published from January 30, 2020 through September 15, 2022; and (4) literature published in English.

The exclusion criteria were as follows: (1) case reports, case series, reviews, and conference papers or proceedings; (2) animal experiment trials; (3) unavailability of full text; and (4) articles in languages other than English.

Information Sources and Literature Search Strategy

An electronic systematic literature search was conducted using PubMed (National Center for Biotechnology Information, National Institutes of Health; Bethesda, Maryland USA); Web of Science (Clarivate Analytics; London, United Kingdom); Cochrane Library (Wiley; Hoboken, New Jersey USA); and CINAHL (EBSCO Information Services; Ipswich, Massachusetts USA) databases (Table 1). The electronic searches were performed on September 20, 2022. The search strategy for electronic literature is shown in Table 1.

Table 1. Electronic Literature Search Strategy

Study Selection

The first author performed the electronic literature search using the search strategy described above, and all authors evaluated the studies. Disagreements between reviewers were resolved through discussion and consensus. The authors selected the literature to include in this study based on the PRISMA flow chart; this comprised the removal of duplicates, screening of titles and abstracts, and reviewing of full texts. Reference Page, McKenzie and Bossuyt10,12

Risk of Bias Assessment

Considering the problems of quality and the risk of bias, the authors evaluated studies based on The Critical Appraisal Skills Program checklist for qualitative research that consists of ten questions. 13

Results

Study Selection

An electronic systematic literature search was conducted using the PubMed, Web of Science, Cochrane Library, and CINAHL databases, and a total of 68 articles were identified (Figure 1). There were no duplicate articles; 25 review articles were excluded. A further 32 articles were excluded on the basis of their title and abstract. Eleven (11) articles were assessed for eligibility, and each article was assessed for risk of bias. Reference Xu, Dong and Yu14Reference Asi, Bebasari and Hardy24 Finally, 11 eligible articles were included in this systematic review. Reference Xu, Dong and Yu14Reference Asi, Bebasari and Hardy24 In order to discuss advances in policy making and EBPM in the early, middle, and late stages of the COVID-19 pandemic, the authors analyzed these articles separately according to publication year as follows: 2020, 2021, and 2022 (Table 2).

Table 2. Details of Included Studies in this Review

Early Stage of the COVID-19 Pandemic (Published in 2020)

In this stage, basic reproduction number and the time-varying estimate of the effective reproductive number of COVID-19 were reported, and there were differences in these trends between European–North American and Asian countries; furthermore, the behavior of the COVID-19 pandemic was predicted using the model consisted by the items as follows: susceptible, exposed, infectious, and removed. Reference Xu, Dong and Yu14 Until the development of an effective vaccine, non-pharmaceutical interventions such as social distancing, frequent hand washing, personal protective equipment, activity cessation, avoiding mass gatherings, and closing facilities were reported to be considered and implemented to avoid a lockdown policy. Reference Hsieh, Lin, Wang, Pauleen and Chen15 At the same time, a warning was issued against information confusion—including information overload, information uncertainty, and misinformation—with poor evidence regarding the new infectious disease. Reference Vraga and Jacobsen16 The evidence for the allocation of medical facilities for infectious disease control was discussed. Reference Kim, Kim, Paul and Lee17 These were reported at a stage when evidence for COVID-19 was poor, and it was difficult to apply concepts of EBPM in the COVID-19 pandemic.

Middle Stage of the COVID-19 Pandemic (Published in 2021)

It was reported that evidence based on timely and detailed transmission risk assessment of COVID-19 could be applied world-wide, and that a global epidemic intelligence network and information sharing should be strengthened. Reference Jian, Kao, Chang, Chen and Liu18Reference Groot, Baer and Badea20 High-quality information provided by these global sharing networks had the potential to allow the application of the EBPM concept to the public health aspect of the COVID-19 pandemic, and to respond effectively to future infectious disease threats. Reference Jian, Kao, Chang, Chen and Liu18Reference Biggerstaff, Slayton, Johansson and Butler21 The articles published in 2021 discussed that the collection and analysis of evidence regarding COVID-19 from around the world would be important to establish evidence-based policies against the COVID-19 pandemic.

Late Stage of the COVID-19 Pandemic (Published in 2022)

A data-driven model of infectious diseases, such as COVID-19, spreading in spatiotemporal networks informed by mobility data of individuals, that could be useful for controlling the spread of an infectious disease, was reported. Reference Pechlivanoglou, Li, Sun, Heidari and Papagelis22 The accuracy of the widely used and cheap COVID-19 tests (ie, lateral flow tests) was validated. Reference Deeks, Singanayagam and Houston23 Magnified gender-based disparities due to the COVID-19 pandemic were also discussed. Reference Asi, Bebasari and Hardy24 The articles published in 2022 discussed the collection of large amounts of high-quality data and the development of methods to analyze them, as well as emerging issues related to the COVID-19 pandemic.

Risk of Bias Assessment

The authors assessed the risk of bias using the Critical Appraisal Skills Program checklist for qualitative research for the 11 included articles and determined that there was no significant risk of bias that would affect the results. 13

Discussion

This systematic review revealed that the concept of EBPM applicable to emerging infectious disease pandemics, such as COVID-19, had changed between the early, middle, and late stages of the pandemic. In this study, it can be concluded that EBPM associated with the COVID-19 pandemic was not feasible in the early stage of the pandemic because there was insufficient evidence to support it. When the scientific evidence is incomplete, and when interventions whose need is inferred have not yet been implemented (ie, early stage), it may be useful to attempt EBPM based on lessons learned in other regions and in other infectious diseases. Reference Hontelez, Bulstra, Yakusik, Lamontagne, Bärnighausen and Atun25 Ultimately, COVID-19 falls into this category and will serve as an example for future countermeasures against emerging infectious diseases. Reference Hontelez, Bulstra, Yakusik, Lamontagne, Bärnighausen and Atun25 When the extent of infectious diseases is wide-spread and cannot be controlled locally (ie, middle and late stages of infectious disease pandemics), it is important to collect and analyze data obtained at various locations. This may involve extensive data that eliminates local factors such as race and socioeconomics to build high-quality evidence and support the practice of EBPM.

This is the third year that humanity has experienced the COVID-19 pandemic. Although the basics of its control were reported and suggested in the early stages, it has had a significant impact on health services and the social economy world-wide for too long. Reference Xu, Dong and Yu14,Reference Hsieh, Lin, Wang, Pauleen and Chen15,Reference Yun, Sim, Lee and Yun26 The authors speculate that this is due to the unexpected multiple mutations of the coronavirus, the variability in the degree of clinical symptoms, and the route of transmission—short-range aerosol and airborne transmission or droplet transmission. 27,Reference Jirjees, Barakat, Shubbar, Othman, Alzubaidi and Al-Obaidi28 This is due in part to the fact that the world is suddenly faced with the difficult and seemingly contradictory task of maintaining socioeconomic activity and controlling an infectious disease pandemic that governments have not had to perform concurrently in the recent past.

It is surprising that no papers were extracted discussing EBPM associated with COVID-19 vaccines and lockdown policy at this time. Clinical guidelines and EBM rely heavily on meta-analyses based on randomized controlled trials (RCTs). Reference Saarni and Gylling29,Reference Greenhalgh, Fisman, Cane, Oliver and Macintyre30 However, the lack of sufficient verification of the safety and side effects of the COVID-19 vaccines suggests that these should be given only to those who wish to receive them, and RCTs of the COVID-19 vaccines may violate medical ethics. Reference Walach, Ofner, Ruof, Herbig and Klement31 In addition, with regard to lockdown policies, it is probably not possible to make simple comparisons because the political, social, and economic conditions in each country play important roles. Reference Gupta, Santosh, Arora, Ciano, Kalid and Mohan32,Reference Awoyemi, Adenipekun and Chima-Kalu33 It has been reported that lockdown policies had a significant impact on socioeconomic activity and the maintenance of physical and mental health. Reference Jain and Dupas34,Reference Plett, Pechlivanoglou and Coyte35 The following issues should be examined in the future: what kind of evidence was used to select vaccines and apply lockdown policy and whether there was a difference in the resulting social impact in countries that promoted vaccination and applied lockdown as a public policy and those that did not. This issue needs to be examined in developed/developing countries, and high-income/low-income countries, and the equality of distribution of health services during the COVID-19 pandemic should also be discussed. The lessons drawn from this discussion will contribute to the achievement of the third goal of the Sustainable Development Goals 17 proposed by the United Nations. 36

Limitations

As a limitation of this study, first, the authors declare that they have identified articles using search terms such as “evidence based policy making” and “infectious disease” and included articles published from January 30, 2020 through September 15, 2022, taking into account the WHO statement. 1,9 That is, this paper was written when the end of the COVID-19 epidemic had not been declared world-wide and further spread may still occur. Second, this review focuses on the medical science aspect and does not adequately discuss the socioeconomic aspects. As such, COVID-19 should be discussed when it is recognized as a common disease world-wide as the global economy is always in flux. It should be discussed by bringing together various experts and stakeholders with high-quality knowledge in medical science, economics, politics, and other fields, and should serve as an example for future pandemics of emerging infectious diseases for which there is a lack of evidence. Reference Fairman37

The concept of EBPM will play an even more important role in medicine in the future. The evidence and recommendations in the early, middle, and late stages of the COVID-19 pandemic validated in this paper may have provided important information for the implementation of EBPM in the event of a sudden pandemic of emerging infectious diseases in the future.

Conclusions

This study revealed that the concept of EBPM applicable to emerging infectious disease pandemics changed between the early, middle, and late stages of the pandemic. It can be concluded that EBPM associated with the COVID-19 pandemic was not feasible because there was insufficient evidence to support this in the early stages.

Conflicts of interest/funding

This research did not receive any specific grant from funding agencies in the public, commercial, or not-for-profit sectors. The authors did not receive any financial support associated with this study.

Author Contributions

SM contributed to the conception, design of the work, analyzed data, and wrote original draft. All authors edited and revised the manuscript, read, and approved the final version of the manuscript.

Supplementary Materials

To view supplementary material for this article, please visit https://doi.org/10.1017/S1049023X23000262

References

World Health Organization. Coronavirus disease (COVID-19) pandemic. https://www.who.int/europe/emergencies/situations/covid-19. Accessed September 20, 2022.Google Scholar
World Health Organization. WHO Coronavirus (COVID-19) Dashboard. https://covid19.who.int/. Accessed September 20, 2022.Google Scholar
World Health Organization. Coronavirus disease (COVID-19) pandemic. https://www.who.int/emergencies/diseases/novel-coronavirus-2019. Accessed September 20, 2022.Google Scholar
Medeiros, M, Edwards, HA, Baquet, CR. Research in the USA on COVID-19’s long-term effects: measures needed to ensure black, indigenous and Latinx communities are not left behind. J Med Ethics. 2023;49(2):8791.CrossRefGoogle Scholar
Macintyre, S. Evidence based policy making. BMJ. 2003;326(7379):56.CrossRefGoogle ScholarPubMed
Phillips, PWB, Castle, D, Smyth, SJ. Evidence-based policy making: determining what is evidence. Heliyon. 2020;6(7):e04519.Google ScholarPubMed
Hontelez, JAC, Bulstra, CA, Yakusik, A, Lamontagne, E, Bärnighausen, TW, Atun, R. Evidence-based policymaking when evidence is incomplete: the case of HIV program integration. PLoS Med. 2021;18(11):e1003835.Google Scholar
Murad, MH, Saadi, S. Evidence-based medicine has already adapted and is very much alive. BMJ Evid Based Med. 2022:bmjebm-2022-112046.Google Scholar
REUTERS. “End of COVID pandemic is ‘in sight’ -WHO chief.” https://www.reuters.com/business/healthcare-pharmaceuticals/who-chief-says-end-sight-covid-19-pandemic-2022-09-14/. Accessed September 20, 2022.Google Scholar
Page, MJ, McKenzie, JE, Bossuyt, PM, et al. The PRISMA 2020 statement: an updated guideline for reporting systematic reviews. BMJ. 2021;372:n71.Google ScholarPubMed
PRISMA Checklist. https://www.prisma-statement.org/PRISMAStatement/Checklist. Accessed September 20, 2022.Google Scholar
PRISMA Flow Diagram. https://www.prisma-statement.org/PRISMAStatement/FlowDiagram. Accessed September 20, 2022.Google Scholar
Critical Appraisal Skills Program checklist. https://casp-uk.net/casp-tools-checklists/. Accessed September 20, 2022.Google Scholar
Xu, C, Dong, Y, Yu, X, et al. Estimation of reproduction numbers of COVID-19 in typical countries and epidemic trends under different prevention and control scenarios. Front Med. 2020;14(5):613622.Google ScholarPubMed
Hsieh, CC, Lin, CH, Wang, WYC, Pauleen, DJ, Chen, JV. The outcome and implications of public precautionary measures in Taiwan-declining respiratory disease cases in the COVID-19 pandemic. Int J Environ Res Public Health. 2020;17(13):4877.Google ScholarPubMed
Vraga, EK, Jacobsen, KH. Strategies for effective health communication during the coronavirus pandemic and future emerging infectious disease events. World Med Health Policy. 2020;12(3):233241.Google Scholar
Kim, H, Kim, D, Paul, C, Lee, CK. The spatial allocation of hospitals with negative pressure isolation rooms in Korea: are we prepared for new outbreaks? Int J Health Policy Manag. 2020;9(11):475483.Google ScholarPubMed
Jian, SW, Kao, CT, Chang, YC, Chen, PF, Liu, DP. Risk assessment for COVID-19 pandemic in Taiwan. Int J Infect Dis. 2021;104:746751.Google ScholarPubMed
Dobbins, M, Dubois, A, Atkinson, D, et al. Nimble, efficient, and evolving: the rapid response of the national collaborating centers to COVID-19 in Canada. Health Promot Chronic Dis Prev Can. 2021;41(5):165170.CrossRefGoogle ScholarPubMed
Groot, G, Baer, S, Badea, A, et al; COVID-19 Evidence Support Team (CEST). Developing a rapid evidence response to COVID-19: the collaborative approach of Saskatchewan, Canada. Learn Health Syst. 2021;6(1):e10280.Google ScholarPubMed
Biggerstaff, M, Slayton, RB, Johansson, MA, Butler, JC. Improving pandemic response: employing mathematical modeling to confront coronavirus disease 2019. Clin Infect Dis. 2022;74(5):913917.CrossRefGoogle Scholar
Pechlivanoglou, T, Li, J, Sun, JL, Heidari, F, Papagelis, M. Epidemic spreading in trajectory networks. Big Data Res. 2022;27:100275.CrossRefGoogle Scholar
Deeks, JJ, Singanayagam, A, Houston, H, et al. SARS-CoV-2 antigen lateral flow tests for detecting infectious people: linked data analysis. BMJ. 2022;376:e066871.CrossRefGoogle ScholarPubMed
Asi, YM, Bebasari, P, Hardy, E, et al. Assessing gender responsiveness of COVID-19 response plans for populations in conflict-affected humanitarian emergencies. Confl Health. 2022;16(1):4.CrossRefGoogle ScholarPubMed
Hontelez, JAC, Bulstra, CA, Yakusik, A, Lamontagne, E, Bärnighausen, TW, Atun, R. Evidence-based policymaking when evidence is incomplete: the case of HIV program integration. PLoS Med. 2021;18(11):e1003835.CrossRefGoogle Scholar
Yun, JY, Sim, JA, Lee, S, Yun, YH. Stronger association of perceived health with socio-economic inequality during COVID-19 pandemic than pre-pandemic era. BMC Public Health. 2022;22(1):1757.Google ScholarPubMed
World Health Organization. Coronavirus disease (COVID-19): How is it transmitted? https://www.who.int/news-room/questions-and-answers/item/coronavirus-disease-covid-19-how-is-it-transmitted. Accessed September 20, 2022.Google Scholar
Jirjees, F, Barakat, M, Shubbar, Q, Othman, B, Alzubaidi, H, Al-Obaidi, H. Perceptions of COVID-19 symptoms, prevention, and treatment strategies among people in seven Arab countries: a cross-sectional study. J Infect Public Health. 2022;15(10):11081117.CrossRefGoogle ScholarPubMed
Saarni, SI, Gylling, HA. Evidence based medicine guidelines: a solution to rationing or politics disguised as science? J Med Ethics. 2004;30(2):171175.Google ScholarPubMed
Greenhalgh, T, Fisman, D, Cane, DJ, Oliver, M, Macintyre, CR. Adapt or die: how the pandemic made the shift from EBM to EBM+ more urgent. BMJ Evid Based Med. 2022;27(5):253260.Google ScholarPubMed
Walach, H, Ofner, M, Ruof, V, Herbig, M, Klement, RJ. Why do people consent to receiving SARS-CoV-2 vaccinations? A representative survey in Germany. BMJ Open. 2022;12(8):e060555.Google ScholarPubMed
Gupta, V, Santosh, KC, Arora, R, Ciano, T, Kalid, KS, Mohan, S. Socioeconomic impact due to COVID-19: an empirical assessment. Inf Process Manag. 2022;59(2):102810.Google ScholarPubMed
Awoyemi, T, Adenipekun, A, Chima-Kalu, R, et al. COVID-19 in Africa: an explorative cross-sectional analysis of twenty-one African countries from January to June 2020. Cureus. 2022;14(5):e24767.Google ScholarPubMed
Jain, R, Dupas, P. The effects of India’s COVID-19 lockdown on critical non-COVID health care and outcomes: evidence from dialysis patients. Soc Sci Med. 2022;296:114762.CrossRefGoogle ScholarPubMed
Plett, D, Pechlivanoglou, P, Coyte, PC. The impact of provincial lockdown policies and COVID-19 case and mortality rates on anxiety in Canada. Psychiatry Clin Neurosci. 2022;76(9):468474.Google ScholarPubMed
United Nations. Sustainable Development Goals 17. https://sdgs.un.org/goals. Accessed September 20, 2022.Google Scholar
Fairman, KA. Pandemics, policy, and the power of paradigm: will COVID-19 lead to a new scientific revolution? Ann Epidemiol. 2022;69:1723.CrossRefGoogle ScholarPubMed
Figure 0

Figure 1. Flow Diagram of Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) 2020.

Figure 1

Table 1. Electronic Literature Search Strategy

Figure 2

Table 2. Details of Included Studies in this Review

Supplementary material: File

Matsuda and Yoshimura supplementary material

Matsuda and Yoshimura supplementary material

Download Matsuda and Yoshimura supplementary material(File)
File 26.4 KB