A Community-Based Participatory Research Approach to Developing and Testing Social and Behavioural Interventions to Reduce the Spread of SARS-CoV-2: A Protocol for the ‘COPAR for COVID’ Programme of Research with Five Interconnected Studies in the Hong Kong Context

Background: While a number of population preventive measures for COVID-19 exist that help to decrease the spread of the virus in the community, there are still many areas in preventative efforts that need improvement or refinement, particularly as new strains of the virus develop. Some of the key issues currently include incorrect and/or inconsistent use of face masks, low acceptance of early screening or vaccination for COVID-19, vaccine hesitance, and misinformation. This is particularly the case in some vulnerable populations, such as older people with chronic illnesses, ethnic minorities who may not speak the mainstream language well and children. The current protocol introduces a large programme of research through five interrelated studies that all focus on social and behavioural interventions to improve different aspects of community-related preventative indicators. Hence, the specific objectives of the overall programme are to (1) increase early testing for COVID-19 and promote the uptake of COVID-19 vaccines in the community (Study 1); (2) increase COVID-19-related health literacy and vaccine literacy and promote improved preventative measures in minority ethnic groups, chronically ill populations and caregivers (Study 2); (3) strengthen the public’s motivation to stay at home and avoid nonessential high-risk activities (Study 3); (4) decrease COVID-19 vaccine hesitancy (Study 4); and (5) enhance the adherence to COVID-19-related hygiene practices and the uptake of early testing in school children (Study 5). Methods: We will utilise a community-based participatory research (CBPR) approach in the proposed studies. All studies will incorporate an intervention development phase in conjunction with key community stakeholders, a feasibility study and an execution stage. A variety of self-reported and objective-based measures will be used to assess various outcomes, based on the focus of each study, in both the short- and long-term, including, for example, the 8-item self-reported eHealth Literacy Scale (eHEAL) and objective measures such as vaccine uptake. Discussion: Theory-driven interventions will address each study’s focus (e.g., social distancing, promotion of vaccine uptake, eHealth education, preventive measures and early detection). Improvements are expected to be seen in the outcomes of vulnerable and high-risk groups. Decreased infection rates are expected due to improved preventative behaviours and increased vaccine uptake. Long-term sustainability of the approach will be achieved through the CBPR model. The publication of this protocol can assist not only in sharing a large-scale and complex community-based design, but will also allow all to learn from this, so that we will have better insight in the future whether sharing of study designs can elicit timely research initiatives.

[1]  T. Greenhalgh,et al.  School reopening without robust COVID-19 mitigation risks accelerating the pandemic , 2021, The Lancet.

[2]  Helai Huang,et al.  Sustainable targeted interventions to mitigate the COVID-19 pandemic: A big data-driven modeling study in Hong Kong , 2021, medRxiv.

[3]  A. Leung,et al.  Sense of coherence mediates the relationship between digital health literacy and anxiety about the future in aging population during the COVID-19 pandemic: a path analysis , 2021, Aging & mental health.

[4]  Zigui Chen,et al.  Acceptance of the COVID-19 vaccine based on the health belief model: A population-based survey in Hong Kong , 2021, Vaccine.

[5]  A. Molassiotis,et al.  Are People With Chronic Diseases Satisfied With the Online Health Information Related to COVID-19 During the Pandemic? , 2020, Journal of nursing scholarship : an official publication of Sigma Theta Tau International Honor Society of Nursing.

[6]  Greta M. Massetti,et al.  Summary of Guidance for Public Health Strategies to Address High Levels of Community Transmission of SARS-CoV-2 and Related Deaths, December 2020 , 2020, MMWR. Morbidity and mortality weekly report.

[7]  S. Wong,et al.  Influenza vaccine uptake, COVID-19 vaccination intention and vaccine hesitancy among nurses: A survey , 2020, International Journal of Nursing Studies.

[8]  K. Bammann,et al.  Promoting Physical Activity Among Older Adults Using Community-Based Participatory Research With an Adapted PRECEDE-PROCEED Model Approach: The AEQUIPA/OUTDOOR ACTIVE Project , 2020, American journal of health promotion : AJHP.

[9]  Qingpeng Zhang,et al.  Optimal vaccination program for two infectious diseases with cross-immunity spreading on a network , 2020, EPL (Europhysics Letters).

[10]  Robin M. Kowalski,et al.  Protection Motivation and the COVID-19 Virus , 2020, Health communication.

[11]  Carmen W. H. Chan,et al.  Knowledge, Attitudes and Practices Towards COVID-19 Amongst Ethnic Minorities in Hong Kong , 2020, International journal of environmental research and public health.

[12]  Steven Taylor,et al.  A Proactive Approach for Managing COVID-19: The Importance of Understanding the Motivational Roots of Vaccination Hesitancy for SARS-CoV2 , 2020, Frontiers in Psychology.

[13]  Jocelyn A. Srigley,et al.  Self-Collected Saline Gargle Samples as an Alternative to Health Care Worker-Collected Nasopharyngeal Swabs for COVID-19 Diagnosis in Outpatients , 2020, Journal of Clinical Microbiology.

[14]  B. Bates,et al.  Knowledge, Attitudes, and Practices Towards COVID-19 Among Ecuadorians During the Outbreak: An Online Cross-Sectional Survey , 2020, Journal of Community Health.

[15]  S. Wong,et al.  Intention of nurses to accept coronavirus disease 2019 vaccination and change of intention to accept seasonal influenza vaccination during the coronavirus disease 2019 pandemic: A cross-sectional survey , 2020, Vaccine.

[16]  T. Lam,et al.  Social Distancing Compliance under COVID-19 Pandemic and Mental Health Impacts: A Population-Based Study , 2020, International journal of environmental research and public health.

[17]  G. Adunlin,et al.  Using the protection motivation theory to examine the effects of fear arousal on the practice of social distancing during the COVID-19 outbreak in rural areas , 2020 .

[18]  C. Szablewski,et al.  SARS-CoV-2 Transmission and Infection Among Attendees of an Overnight Camp — Georgia, June 2020 , 2020, MMWR. Morbidity and mortality weekly report.

[19]  C. Lorini,et al.  Assessing COVID-19 vaccine literacy: a preliminary online survey , 2020, Human vaccines & immunotherapeutics.

[20]  A. Londei,et al.  Ranking the effectiveness of worldwide COVID-19 government interventions , 2020, Nature Human Behaviour.

[21]  L. Lee,et al.  Practice and technique of using face mask amongst adults in the community: a cross-sectional descriptive study , 2020, BMC Public Health.

[22]  W. S. Chan,et al.  Facebook as a Novel Tool for Continuous Professional Education on Dementia: Pilot Randomized Controlled Trial , 2020, Journal of medical Internet research.

[23]  S. Wong,et al.  COVID-19 pandemic, infodemic and the role of eHealth literacy , 2020, International Journal of Nursing Studies.

[24]  F. Farooq,et al.  Information Overload and Infodemic in the COVID-19 Pandemic. , 2020, JPMA. The Journal of the Pakistan Medical Association.

[25]  S. Tam,et al.  A reality check on the use of face masks during the COVID-19 outbreak in Hong Kong , 2020, EClinicalMedicine.

[26]  H. Yilmazkuday Stay-at-home works to fight against COVID-19: International evidence from Google mobility data , 2020, Journal of Human Behavior in the Social Environment.

[27]  Wei Luo,et al.  Knowledge, attitudes, and practices towards COVID-19 among Chinese residents during the rapid rise period of the COVID-19 outbreak: a quick online cross-sectional survey , 2020, International journal of biological sciences.

[28]  J. Chung,et al.  Can Flu-Like Absenteeism in Kindergartens Be Reduced Through Hand Hygiene Training for Both Parents and Their Kindergarteners? , 2020, Journal of primary care & community health.

[29]  S. Conard Best practices in digital health literacy. , 2019, International journal of cardiology.

[30]  S. Goodliffe,et al.  Co-producing Progression Criteria for Feasibility Studies: A Partnership between Patient Contributors, Clinicians and Researchers , 2019, International journal of environmental research and public health.

[31]  J. Oetzel,et al.  Culture-centeredness in community-based participatory research: contributions to health education intervention research. , 2019, Health education research.

[32]  David Ka-Ki Wong,et al.  Online Health Information Seeking and eHealth Literacy Among Patients Attending a Primary Care Clinic in Hong Kong: A Cross-Sectional Survey , 2019, Journal of medical Internet research.

[33]  Andreas M. Kunz,et al.  VIRTUE - A Virtual Reality Trainer for Hand Hygiene , 2018, 2018 9th International Conference on Information, Intelligence, Systems and Applications (IISA).

[34]  P. De Wals,et al.  A postpartum vaccination promotion intervention using motivational interviewing techniques improves short-term vaccine coverage: PromoVac study , 2018, BMC Public Health.

[35]  R. Mayer,et al.  Learning Science in Immersive Virtual Reality , 2018, Journal of Educational Psychology.

[36]  C. Drossaert,et al.  Development of the Digital Health Literacy Instrument: Measuring a Broad Spectrum of Health 1.0 and Health 2.0 Skills , 2017, Journal of medical Internet research.

[37]  Hayeon Song,et al.  Health information seeking in the Web 2.0 age: Trust in social media, uncertainty reduction, and self-disclosure , 2016, Comput. Hum. Behav..

[38]  Hayeon Song,et al.  Trusting Social Media as a Source of Health Information: Online Surveys Comparing the United States, Korea, and Hong Kong , 2016, Journal of medical Internet research.

[39]  N. MacDonald Vaccine hesitancy: Definition, scope and determinants. , 2015, Vaccine.

[40]  H. Larson,et al.  Strategies for addressing vaccine hesitancy - A systematic review. , 2015, Vaccine.

[41]  Joe Phua,et al.  Telling stories about breastfeeding through Facebook: The impact of user-generated content (UGC) on pro-breastfeeding attitudes , 2015, Comput. Hum. Behav..

[42]  Harvey A. Skinner,et al.  eHealth Literacy Scale , 2015 .

[43]  P. Baraitser,et al.  Would You Tell Everyone This? Facebook Conversations as Health Promotion Interventions , 2014, Journal of medical Internet research.

[44]  J. Russell,et al.  Enhancing motivation to change in eating disorders with an online self-help program. , 2013, International journal of mental health nursing.

[45]  G. Wulf,et al.  Self-Controlled Feedback in 10-Year-Old Children , 2008, Research quarterly for exercise and sport.

[46]  Cameron D. Norman,et al.  eHEALS: The eHealth Literacy Scale , 2006, Journal of medical Internet research.

[47]  Meredith Minkler,et al.  Community based participatory research: a promising approach for increasing epidemiology's relevance in the 21st century. , 2004, International journal of epidemiology.

[48]  Allan Donner,et al.  Design and Analysis of Cluster Randomization Trials in Health Research , 2001 .

[49]  R. Glasgow,et al.  Evaluating the public health impact of health promotion interventions: the RE-AIM framework. , 1999, American journal of public health.

[50]  P. Lovibond,et al.  The structure of negative emotional states: comparison of the Depression Anxiety Stress Scales (DASS) with the Beck Depression and Anxiety Inventories. , 1995, Behaviour research and therapy.

[51]  R. Osborne,et al.  Health literacy toolkit for low and middle-income countries: a series of information sheets to empower communities and strengthen health systems , 2015 .

[52]  B. Israel,et al.  Review of community-based research: assessing partnership approaches to improve public health. , 1998, Annual review of public health.