Evaluation of a public COVID-19 dashboard in the Western Cape, South Africa: a tool for communication, trust, and transparency

Author:

Ismail Muzzammil,Morden Erna,Hussey Hannah,Paleker Masudah,Jacobs Theuns,Laenen Inneke,Hunter Mehreen,Moodley Melvin,Smith Mariette,Mutemaringa Themba,Bam Jamy-Lee,Dane Pierre,Heekes Alexa,Boulle Andrew,Davies Mary-Ann

Abstract

Abstract Background Public health dashboards have been used in the past to communicate and guide local responses to outbreaks, epidemics, and a host of various health conditions. During the first year of the COVID-19 pandemic, dashboards proliferated but the availability and quality differed across the world. This study aimed to evaluate the quality, access, and end-user experience of one such dashboard in the Western Cape province, South Africa. Methods We analysed retrospective aggregate data on viewership over time for the first year since launch of the dashboard (30 April 2020 – 29 April 2021) and conducted a cross-sectional survey targeting adult users of the dashboard at one year post the initial launch. The self-administered, anonymous questionnaire with a total of 13 questions was made available via an online digital survey tool for a 2-week period (6 May 2021 – 21 May 2021). Results After significant communication by senior provincial political leaders, adequate media coverage and two waves of COVID-19 the Western Cape public COVID-19 dashboard attracted a total of 2,248,456 views during its first year. The majority of these views came from Africa/South Africa with higher median daily views during COVID-19 wave periods. A total of 794 participants responded to the survey questionnaire. Reported devices used to access the dashboard differed statistically between occupational status groups with students tending toward using mobile devices whilst employed and retired participants tending toward using desktop computers/laptops. Frequency of use increases with increasing age with 65.1% of those > 70 years old viewing it daily. Overall, 76.4% of respondents reported that the dashboard influenced their personal planning and behaviour. High Likert score ratings were given for clarity, ease of use and overall end-user experience, with no differences seen across the various age groups surveyed. Conclusion The study demonstrated that both the availability of data and an understanding of end-user need is critical when developing and delivering public health tools that may ultimately garner public trust and influence individual behaviour.

Funder

Bill and Melinda Gates Foundation

Publisher

Springer Science and Business Media LLC

Subject

Public Health, Environmental and Occupational Health

Reference19 articles.

1. Lechner B, Fruhling A. Towards public health dashboard design guidelines. In International Conference on HCI in Business 2014 Jun 22. Springer, Cham. pp. 49–59. Available at: https://doi.org/10.1007/978-3-319-07293-7_5. Accessed 12 Dec 2021

2. Sarikaya A, Correll M, Bartram L, Tory M, Fisher D. What do we talk about when we talk about dashboards? IEEE Trans Vis Comput Graph. 2018;25(1):682–92. Available at: https://ieeexplore.ieee.org/abstract/document/8443395?casa_token=L7ceYzg2bpMAAAAA:km0QHqy7xoRDdpTT2ILswSwQdOhTm0TejL9Wjd9fAvAhOVcviB2DGfd8aXHJUj5-n3ULgeZpCQ. Accessed 12 Dec 2021.

3. Kamadjeu R, Gathenji C. Designing and implementing an electronic dashboard for disease outbreaks response-Case study of the 2013–2014 Somalia Polio outbreak response dashboard. Pan Afr Med J. 2017;27(Suppl 3):22. Available at: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5745940/. Accessed 12 Dec 2021.

4. Brooks JC. Incident management systems and building emergency management capacity during the 2014–2016 Ebola epidemic—Liberia, Sierra Leone, and Guinea. MMWR Suppl. 2016;65. Available at: https://www.cdc.gov/mmwr/volumes/65/su/su6503a5.htm. Accessed 12 Dec 2021

5. Braunstein SL, Coeytaux K, Sabharwal CJ, Xia Q, Robbins RS, Obeng B, Daskalakis DC. New York City HIV care continuum dashboards: Using surveillance data to improve HIV care Among people living With HIV in New York City. JMIR Public Health Surveill. 2019;5(2):e13086. Available at: https://publichealth.jmir.org/2019/2/e13086/?utm_source=TrendMD&utm_medium=cpc&utm_campaign=JMIR_TrendMD_1. Accessed 12 Dec 2021.

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3