Improving Data Surveillance Resilience Beyond COVID-19: Experiences of Primary heAlth Care quAlity Cohort In ChinA (ACACIA) Using Unannounced Standardized Patients

We analyzed COVID-19 influences on the design, implementation, and validity of assessing the quality of primary health care using unannounced standardized patients (USPs) in China. Because of the pandemic, we crowdsourced our funding, removed tuberculosis from the USP case roster, adjusted common co...

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Published inAmerican journal of public health (1971) Vol. 112; no. 6; pp. 913 - 922
Main Authors Xu, Dong Roman, Cai, Yiyuan, Wang, Xiaohui, Chen, Yaolong, Gong, Wenjie, Liao, Jing, Zhou, Jifang, Zhou, Zhongliang, Zhang, Nan, Tang, Chengxiang, Mi, Baibing, Lu, Yun, Wang, Ruixin, Zhao, Qing, He, Wenjun, Liang, Huijuan, Li, Jinghua, Pan, Jay
Format Journal Article
LanguageEnglish
Published United States American Public Health Association 01.06.2022
Subjects
Acacia
Asthma
Check lists
China - epidemiology
Common cold
COVID-19
Crowdsourcing
Data collection
Data quality
Fieldwork
Health care
Health care policy
Humans
Internet
Leadership
Pandemics
Patients
Primary care
Problem solving
Public health
Quality assessment
Quality of care
Quality of Health Care
Resilience
Sharing economy
Surveillance
Tuberculosis
China
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Summary:We analyzed COVID-19 influences on the design, implementation, and validity of assessing the quality of primary health care using unannounced standardized patients (USPs) in China. Because of the pandemic, we crowdsourced our funding, removed tuberculosis from the USP case roster, adjusted common cold and asthma cases, used hybrid online-offline training for USPs, shared USPs across provinces, and strengthened ethical considerations. With those changes, we were able to conduct fieldwork despite frequent COVID-19 interruptions. Furthermore, the USP assessment tool maintained high validity in the quality checklist (criteria), USP role fidelity, checklist completion, and physician detection of USPs. Our experiences suggest that the pandemic created not only barriers but also opportunities to innovate ways to build a resilient data collection system. To build data system reliance, we recommend harnessing the power of technology for a hybrid model of remote and in-person work, learning from the sharing economy to pool strengths and optimize resources, and dedicating individual and group leadership to problem-solving and results. ( . 2022;112(6):913-922. https://doi.org/10.2105/AJPH.2022.306779).
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ISSN:0090-0036
1541-0048
1541-0048
DOI:10.2105/AJPH.2022.306779