IDEAS home Printed from https://ideas.repec.org/a/wly/camsys/v19y2023i3ne1336.html
   My bibliography  Save this article

Psychological and psychosocial determinants of COVID Health Related Behaviours (COHeRe): An evidence and gap map

Author

Listed:
  • Jennifer Hanratty
  • Ciara Keenan
  • Sean R. O'Connor
  • Rachel Leonard
  • Yuan Chi
  • Janet Ferguson
  • Ariana Axiaq
  • Sarah Miller
  • Declan Bradley
  • Martin Dempster

Abstract

Background The COVID‐19 pandemic, caused by the SARS‐CoV‐2 virus, has resulted in illness, deaths and societal disruption on a global scale. Societies have implemented various control measures to reduce transmission of the virus and mitigate its impact. Individual behavioural changes are crucial to the successful implementation of these measures. Common recommended measures to limit risk of infection include frequent handwashing, reducing the frequency of social interactions and the use of face coverings. It is important to identify those factors that can predict the uptake and maintenance of these protective behaviours. Objectives We aimed to identify and map the existing evidence (published and unpublished) on psychological and psychosocial factors that determine uptake and adherence to behaviours aimed at reducing the risk of infection or transmission of COVID‐19. Search Methods Our extensive search included electronic databases (n = 12), web searches, conference proceedings, government reports, other repositories including both published peer reviewed, pre‐prints and grey literature. The search strategy was built around three concepts of interest including (1) context (terms relating to COVID‐19), (2) behaviours of interest and (3) terms related to psychological and psychosocial determinants of COVID Health‐Related Behaviours and adherence or compliance with recommended behaviours, to capture both malleable and non‐malleable determinants (i.e. determinants that could be changed and those that could not). Selection Criteria This Evidence and Gap Map (EGM) includes all types of studies examining determinants of common recommended behaviours aimed at mitigating human‐to‐human spread of COVID‐19. All potential malleable and non‐malleable determinants of one or more behaviours are included in the map. As part of the mapping process, categories are used to group determinants. The mapping categories were based on a previous rapid review by Hanratty 2021. These include: ‘behaviour’, ‘cognition’, ‘demographics’, ‘disease’, ‘emotions’, ‘health status’, ‘information’, ‘intervention’, and ‘knowledge’. Those not suitable for categorisation in any of these groups are included in the map as ‘other’ determinants. Data Collection and Analysis Results were imported to a bibliographic reference manager where duplications of identical studies gathered from multiple sources were removed. Data extraction procedures were managed in EPPI‐Reviewer software. Information on study type, population, behaviours measured and determinants measured were extracted. We appraised the methodological quality of systematic reviews with AMSTAR‐2. We did not appraise the quality of primary studies in this map. Main Results As of 1 June 2022 the EGM includes 1034 records reporting on 860 cross‐sectional, 68 longitudinal, 78 qualitative, 25 reviews, 62 interventional, and 39 other studies (e.g., mixed‐methods approaches). The map includes studies that measured social distancing (n = 487), masks and face coverings (n = 382), handwashing (n = 308), physical distancing (n = 177), isolation/quarantine (n = 157), respiratory hygiene/etiquette (n = 75), cleaning surfaces (n = 59), and avoiding touching the T‐zone (n = 48). There were 333 studies that assessed composite measures of two or more behaviours. The largest cluster of determinants was ‘demographics’ (n = 730 studies), followed by ‘cognition’ (n = 496 studies) and determinants categorised as ‘other’ (n = 447). These included factors such as ‘beliefs’, ‘culture’ and ‘access to resources’. Less evidence is available for some determinants such as ‘interventions’ (n = 99 studies), ‘information’ (n = 101 studies), and ‘behaviour’ (149 studies). Authors' Conclusions This EGM provides a valuable resource for researchers, policy‐makers and the public to access the available evidence on the determinants of various COVID‐19 health‐related behaviours. The map can also be used to help guide research commissioning, by evidence synthesis teams and evidence intermediaries to inform policy during the ongoing pandemic and potential future outbreaks of COVID‐19 or other respiratory infections. Evidence included in the map will be explored further through a series of systematic reviews examining the strength of the associations between malleable determinants and the uptake and maintenance of individual protective behaviours.

Suggested Citation

  • Jennifer Hanratty & Ciara Keenan & Sean R. O'Connor & Rachel Leonard & Yuan Chi & Janet Ferguson & Ariana Axiaq & Sarah Miller & Declan Bradley & Martin Dempster, 2023. "Psychological and psychosocial determinants of COVID Health Related Behaviours (COHeRe): An evidence and gap map," Campbell Systematic Reviews, John Wiley & Sons, vol. 19(3), September.
  • Handle: RePEc:wly:camsys:v:19:y:2023:i:3:n:e1336
    DOI: 10.1002/cl2.1336
    as

    Download full text from publisher

    File URL: https://doi.org/10.1002/cl2.1336
    Download Restriction: no

    File URL: https://libkey.io/10.1002/cl2.1336?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Cronin, Christopher J. & Evans, William N., 2021. "Total shutdowns, targeted restrictions, or individual responsibility: How to promote social distancing in the COVID-19 Era?," Journal of Health Economics, Elsevier, vol. 79(C).
    2. Jennifer Hanratty & Ciara Keenan & Sean O'Connor & Sarah Miller & Declan Bradley & Martin Dempster, 2022. "PROTOCOL: Psychological and psychosocial determinants of COVID Health Related Behaviours (COHeRe): A suite of systematic reviews and an evidence and gap map," Campbell Systematic Reviews, John Wiley & Sons, vol. 18(1), March.
    3. Robert West & Susan Michie & G. James Rubin & Richard Amlôt, 2020. "Applying principles of behaviour change to reduce SARS-CoV-2 transmission," Nature Human Behaviour, Nature, vol. 4(5), pages 451-459, May.
    4. Krishna Regmi & Cho Mar Lwin, 2021. "Factors Associated with the Implementation of Non-Pharmaceutical Interventions for Reducing Coronavirus Disease 2019 (COVID-19): A Systematic Review," IJERPH, MDPI, vol. 18(8), pages 1-27, April.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Hubert, Philipp & Abdel Hadi, Sascha & Mojzisch, Andreas & Häusser, Jan Alexander, 2022. "The effects of organizational climate on adherence to guidelines for COVID-19 prevention," Social Science & Medicine, Elsevier, vol. 292(C).
    2. Sara Boni & Francesco Ravazzolo, 2022. "A Structural Analysis of Unemployment-Generating Supply Shocks with an Application to the US Pharmaceutical Industry," BEMPS - Bozen Economics & Management Paper Series BEMPS94, Faculty of Economics and Management at the Free University of Bozen.
    3. Seth M. Freedman & Daniel W. Sacks & Kosali I. Simon & Coady Wing, 2022. "Direct and indirect effects of vaccines: Evidence from COVID-19," NBER Working Papers 30550, National Bureau of Economic Research, Inc.
    4. Natalie J Shook & Barış Sevi & Jerin Lee & Benjamin Oosterhoff & Holly N Fitzgerald, 2020. "Disease avoidance in the time of COVID-19: The behavioral immune system is associated with concern and preventative health behaviors," PLOS ONE, Public Library of Science, vol. 15(8), pages 1-15, August.
    5. Marco Clari & Alessandro Godono & Beatrice Albanesi & Elena Casabona & Rosanna Irene Comoretto & Ihab Mansour & Alessio Conti & Valerio Dimonte & Catalina Ciocan, 2022. "Choosing between Homologous or Heterologous COVID-19 Vaccination Regimens: A Cross-Sectional Study among the General Population in Italy," IJERPH, MDPI, vol. 19(5), pages 1-9, March.
    6. Panarello, Demetrio & Tassinari, Giorgio, 2022. "One year of COVID-19 in Italy: are containment policies enough to shape the pandemic pattern?," Socio-Economic Planning Sciences, Elsevier, vol. 79(C).
    7. Casoria, Fortuna & Galeotti, Fabio & Villeval, Marie Claire, 2021. "Perceived social norm and behavior quickly adjusted to legal changes during the COVID-19 pandemic," Journal of Economic Behavior & Organization, Elsevier, vol. 190(C), pages 54-65.
    8. Simón A. Rella & Yuliya A. Kulikova & Emmanouil T. Dermitzakis & Fyodor A. Kondrashov, 2021. "Rates of SARS-COV-2 transmission and vaccination impact the fate of vaccine-resistant strains," Working Papers 2129, Banco de España.
    9. Vicente Javier Clemente-Suárez & Eduardo Navarro-Jiménez & Manuel Jimenez & Alberto Hormeño-Holgado & Marina Begoña Martinez-Gonzalez & Juan Camilo Benitez-Agudelo & Natalia Perez-Palencia & Carmen Ce, 2021. "Impact of COVID-19 Pandemic in Public Mental Health: An Extensive Narrative Review," Sustainability, MDPI, vol. 13(6), pages 1-21, March.
    10. Filip Raciborski & Mateusz Jankowski & Mariusz Gujski & Jarosław Pinkas & Piotr Samel-Kowalik & Artur Zaczyński & Igor Pańkowski & Kamil Rakocy & Waldemar Wierzba, 2020. "Prevention of SARS-CoV-2 Infection Among Police Officers in Poland—Implications for Public Health Policies," IJERPH, MDPI, vol. 17(23), pages 1-16, December.
    11. Hai-Anh Dang & Toan L.D. Huynh & Manh-Hung Nguyen, 2023. "Does the COVID-19 pandemic disproportionately affect the poor? Evidence from a six-country survey," Journal of Economics and Development, Emerald Group Publishing Limited, vol. 26(1), pages 2-18, December.
    12. Aysen Kutan Fenercioglu & Gunay Can & Nurver Turfaner Sipahioglu & Osman Demir & Semih Gulluoglu & Iyigun Gedik & Gul Ece Altintas & Asena Cosgun & Zekiye Gurcan, 2022. "Impaired Perceptions and Conspiracy Beliefs about the Way of Emergence of the COVID-19 Infection," IJERPH, MDPI, vol. 19(9), pages 1-16, May.
    13. Daoust, Jean-François & Bélanger, Éric & Dassonneville, Ruth & Lachapelle, Erick & Nadeau, Richard & Becher, Michael & Brouard, Sylvain & Foucault, Martial & Hönnige, Christoph & Stegmueller, Daniel, 2020. "Face-Saving Strategies Increase Self-Reported Non-Compliance with COVID-19 Preventive Measures: Experimental Evidence from 12 Countries," SocArXiv tkrs7, Center for Open Science.
    14. Gearhart, Richard & Michieka, Nyakundi & Anders, Anne, 2023. "The effectiveness of COVID deaths to COVID policies: A robust conditional approach," Economic Analysis and Policy, Elsevier, vol. 79(C), pages 376-394.
    15. Nicolás C. Bronfman & Paula B. Repetto & Pamela C. Cisternas & Javiera V. Castañeda, 2021. "Factors Influencing the Adoption of COVID-19 Preventive Behaviors in Chile," Sustainability, MDPI, vol. 13(10), pages 1-13, May.
    16. Tensi, Annika Francesca & Ang, Frederic & van der Fels-Klerx, H.J., 2022. "Behavioural drivers and barriers for adopting microbial applications in arable farms: Evidence from the Netherlands and Germany," Technological Forecasting and Social Change, Elsevier, vol. 182(C).
    17. Michael Becher & Daniel Stegmueller & Sylvain Brouard & Eric Kerrouche, 2021. "Ideology and compliance with health guidelines during the COVID‐19 pandemic: A comparative perspective," Social Science Quarterly, Southwestern Social Science Association, vol. 102(5), pages 2106-2123, September.
    18. MASUHARA Hiroaki & HOSOYA Kei, 2022. "What Impacts Do Human Mobility and Vaccination Have on Trends in COVID-19 Infections? Evidence from four developed countries," Discussion papers 22087, Research Institute of Economy, Trade and Industry (RIETI).
    19. repec:hal:journl:hal-04679593 is not listed on IDEAS
    20. Emily Ying Yang Chan & Zhe Huang & Eugene Siu Kai Lo & Kevin Kei Ching Hung & Eliza Lai Yi Wong & Samuel Yeung Shan Wong, 2020. "Sociodemographic Predictors of Health Risk Perception, Attitude and Behavior Practices Associated with Health-Emergency Disaster Risk Management for Biological Hazards: The Case of COVID-19 Pandemic i," IJERPH, MDPI, vol. 17(11), pages 1-18, May.
    21. Phi-Hung Nguyen & Jung-Fa Tsai & Thanh-Tuan Dang & Ming-Hua Lin & Hong-Anh Pham & Kim-Anh Nguyen, 2021. "A Hybrid Spherical Fuzzy MCDM Approach to Prioritize Governmental Intervention Strategies against the COVID-19 Pandemic: A Case Study from Vietnam," Mathematics, MDPI, vol. 9(20), pages 1-26, October.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:wly:camsys:v:19:y:2023:i:3:n:e1336. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Wiley Content Delivery (email available below). General contact details of provider: https://doi.org/10.1111/(ISSN)1891-1803 .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.