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...
| Publicado en: | American Journal of Public Health Vol. 112; no. 6; pp. 913 - 923 |
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| Autores principales: | , , , , , , , , , , , , , , , , , |
| Formato: | Artículo |
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American Public Health Association
Jun2022
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| Materias: | |
| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ssf&AN=157068700&site=ehost-live header: @attributes: shortDbName: ssf uiTerm: 157068700 longDbName: Social Sciences Full Text (H.W. Wilson) uiTag: AN controlInfo: bkinfo: jinfo: jid: 00900036 APH jtl: American Journal of Public Health issn: 00900036 maglogo: N pubinfo: dt: Jun2022 vid: 112 iid: 6 pid: 44 pub: American Public Health Association artinfo: ui: 157068700 10.2105/ajph.2022.306779 ppf: 913 ppct: 10 formats: tig: atl: Improving Data Surveillance Resilience Beyond COVID-19: Experiences of Primary heAlth Care quAlity Cohort In ChinA (ACACIA) Using Unannounced Standardized Patients. aug: au: Xu, Dong 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 su: Public health surveillance Primary health care COVID-19 pandemic Psychological resilience Acquisition of data sug: subj: Public health surveillance Primary health care COVID-19 pandemic Psychological resilience Acquisition of data ab: 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. (Am J Public Health. 2022;112(6):913–922. https://doi.org/10.2105/AJPH.2022.306779) pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: N holdings: @attributes: islocal: N |
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