Belief of having had unconfirmed Covid-19 infection reduces willingness to participate in app-based contact tracing

被引:25
作者
Bachtiger, Patrik [1 ,2 ]
Adamson, Alexander [1 ]
Quint, Jennifer K. [1 ,2 ]
Peters, Nicholas S. [1 ,2 ]
机构
[1] Imperial Coll London, Natl Heart & Lung Inst, London, England
[2] Imperial Coll Healthcare NHS Trust, London, England
基金
英国科研创新办公室;
关键词
COVID-19 - Regression analysis;
D O I
10.1038/s41746-020-00357-5
中图分类号
R19 [保健组织与事业(卫生事业管理)];
学科分类号
摘要
Contact tracing and lockdown are health policies being used worldwide to combat the coronavirus (COVID-19). The UK National Health Service (NHS) Track and Trace Service has plans for a nationwide app that notifies the need for self-isolation to those in contact with a person testing positive for COVID-19. To be successful, such an app will require high uptake, the determinants and willingness for which are unclear but essential to understand for effective public health benefit. The objective of this study was to measure the determinants of willingness to participate in an NHS app-based contact-tracing programme using a questionnaire within the Care Information Exchange (CIE)-the largest patient-facing electronic health record in the NHS. Among 47,708 registered NHS users of the CIE, 27% completed a questionnaire asking about willingness to participate in app-based contact tracing, understanding of government advice, mental and physical wellbeing and their healthcare utilisation-related or not to COVID-19. Descriptive statistics are reported alongside univariate and multivariable logistic regression models, with positive or negative responses to a question on app-based contact tracing as the dependent variable. 26.1% of all CIE participants were included in the analysis (N = 12,434, 43.0% male, mean age 55.2). 60.3% of respondents were willing to participate in app-based contact tracing. Out of those who responded 'no', 67.2% stated that this was due to privacy concerns. In univariate analysis, worsening mood, fear and anxiety in relation to changes in government rules around lockdown were associated with lower willingness to participate. Multivariable analysis showed that difficulty understanding government rules was associated with a decreased inclination to download the app, with those scoring 1-2 and 3-4 in their understanding of the new government rules being 45% and 27% less inclined to download the contact-tracing app, respectively; when compared to those who rated their understanding as 5-6/10 (OR for 1-2/10 = 0.57 [CI 0.48-0.67]; OR for 3-4/10 = 0.744 [CI 0.64-0.87]), whereas scores of 7-8 and 9-10 showed a 43% and 31% respective increase. Those reporting an unconfirmed belief of having previously had and recovered from COVID-19 were 27% less likely to be willing to download the app; belief of previous recovery from COVID-19 infection OR 0.727 [0.585-0.908]). In this large UK-wide questionnaire of wellbeing in lockdown, a willingness for app-based contact tracing over an appropriate age range is 60%-close to the estimated 56% population uptake, and substantially less than the smartphone-user uptake considered necessary for an app-based contact tracing to be an effective intervention to help suppress an epidemic. Difficulty comprehending government advice and uncertainty of diagnosis, based on a public health policy of not testing to confirm self-reported COVID-19 infection during lockdown, therefore reduce willingness to adopt a government contact-tracing app to a level below the threshold for effectiveness as a tool to suppress an epidemic.
引用
收藏
页数:7
相关论文
共 30 条
  • [1] Alderwick H., 2019, The NHS long term plan
  • [2] How will country-based mitigation measures influence the course of the COVID-19 epidemic?
    Anderson, Roy M.
    Heesterbeek, Hans
    Klinkenberg, Don
    Hollingsworth, T. Deirdre
    [J]. LANCET, 2020, 395 (10228) : 931 - 934
  • [3] Aging in Times of the COVID-19 Pandemic: Avoiding Ageism and Fostering Intergenerational Solidarity
    Ayalon, Liat
    Chasteen, Alison
    Diehl, Manfred
    Levy, Becca R.
    Neupert, Shevaun D.
    Rothermund, Klaus
    Tesch-Roemer, Clemens
    Wahl, Hans-Werner
    [J]. JOURNALS OF GERONTOLOGY SERIES B-PSYCHOLOGICAL SCIENCES AND SOCIAL SCIENCES, 2021, 76 (02): : E49 - E52
  • [4] On the benefits of explaining herd immunity in vaccine advocacy
    Betsch, Cornelia
    Boehm, Robert
    Korn, Lars
    Holtmann, Cindy
    [J]. NATURE HUMAN BEHAVIOUR, 2017, 1 (03):
  • [5] Using the Internet to conduct surveys of health professionals: a valid alternative?
    Braithwaite, D
    Emery, J
    de Lusignan, S
    Sutton, S
    [J]. FAMILY PRACTICE, 2003, 20 (05) : 545 - 551
  • [6] Care Information Exchange, 2020, ONL HLTH REC
  • [7] Do intentions really predict behavior? Self-generated validity effects in survey research
    Chandon, P
    Morwitz, VG
    Reinartz, WJ
    [J]. JOURNAL OF MARKETING, 2005, 69 (02) : 1 - 14
  • [8] Escalating infection control response to the rapidly evolving epidemiology of the coronavirus disease 2019 (COVID-19) due to SARS-CoV-2 in Hong Kong
    Cheng, Vincent C. C.
    Wong, Shuk-Ching
    Chen, Jonathan H. K.
    Yip, Cyril C. Y.
    Chuang, Vivien W. M.
    Tsang, Owen T. Y.
    Sridhar, Siddharth
    Chan, Jasper F. W.
    Ho, Pak-Leung
    Yuen, Kwok-Yung
    [J]. INFECTION CONTROL AND HOSPITAL EPIDEMIOLOGY, 2020, 41 (05) : 493 - 498
  • [9] Impact assessment of non-pharmaceutical interventions against coronavirus disease 2019 and influenza in Hong Kong: an observational study
    Cowling, Benjamin J.
    Ali, Sheikh Taslim
    Ng, Tiffany W. Y.
    Tsang, Tim K.
    Li, Julian C. M.
    Fong, Min Whui
    Liao, Qiuyan
    Kwan, Mike Y. W.
    Lee, So Lun
    Chiu, Susan S.
    Wu, Joseph T.
    Wu, Peng
    Leung, Gabriel M.
    [J]. LANCET PUBLIC HEALTH, 2020, 5 (05) : E279 - E288
  • [10] Quantifying SARS-CoV-2 transmission suggests epidemic control with digital contact tracing
    Ferretti, Luca
    Wymant, Chris
    Kendall, Michelle
    Zhao, Lele
    Nurtay, Anel
    Abeler-Dorner, Lucie
    Parker, Michael
    Bonsall, David
    Fraser, Christophe
    [J]. SCIENCE, 2020, 368 (6491) : 619 - +