ArticleBMC family practice2020
The effect of family doctor policy practice on primary health-care workers' health in Hongkou District of Shanghai, China: varied by occupational divisions?
Article in BMC family practice, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
6 citing papers in PubMed, 8 citations in OpenAlex.
- Network analysis of work-family support and career identity and their associations with job burnout among primary healthcare workers: a cross-sectional study.Frontiers in public health · 2025Article
- Key Motivators and Framework for Integrated Care by Family Physician Team Members in Urban China.International journal of health policy and management · 2025Article
- Primary health care team faultlines and team performance: the mediating role of knowledge sharing.Frontiers in psychology · 2024Article
- Current status and influential factors for family health management during quarantine: A latent category analysis.PloS one · 2022Article
- A Latent Profile Analysis of Chinese Physicians' Workload Tethered to Paperwork During Outpatient Encounters.Frontiers in public health · 2022Article
- The Path Analysis of Family Doctor's Gatekeeper Role in Shanghai, China: A Structural Equation Modeling (SEM) Approach.Inquiry : a journal of medical care organization, provision and financingArticle
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Authors and funding
12 authors at 5 institutions in 1 country.
Funding
Abstract
backgroundA key component of the 2009 medical reform in China was the change to family doctor (FD) policy practice. However, this led to an increased workload for primary health-care workers (PHCWs) at community health service centres. Their increasing workload may play a significant role in affecting PHCWs' health.
methodsA questionnaire survey was conducted in Hongkou district of Shanghai amongst PHCWs including family doctors (FDs), family nurses (FNs), public health doctors (PHDs), and other PHCWs in early 2019. Ordered logistic regression models (Models 1 to 3) were performed to explore the differing health status amongst PHCWs, and their respective influential factors were also tested (Models 4 to 7).
resultsFive hundred sixty-two valid questionnaires were collected with a response rate of 96.4%. Other PHCWs' (OR = 2.03; 95% CI: 1.163-3.560) and FNs' (OR = 1.98; 95% CI: 1.136-3.452) self-rated health (SRH) were significantly better than that of FDs. In terms of FNs, the OR of SRH for those who strongly perceived the extra workload brought by FD-contracted services was only 12.0% (95% CI: 0.018-0.815) of that of the no-pressure group. Similarly, FNs with stronger work pressure had worse SRH, i.e., compared with "no" pressure, the SRH ORs for "neutral," "strong," and "very strong" evaluations of work pressure were 0.002 (95% CI: 0.000-0.055), 0.001 (95% CI: 0.000-0.033), and 0.000 (95% CI: 0.000-0.006), respectively. Information technology (IT) systems and performance incentives were suggested to improve SRH for FNs, while the former was found to be negatively correlated with other PHCWs. After one unit increase in the PHDs' team/department support, their OR was 10.7 times (95% CI: 1.700-67.352) higher. In addition, policy support had a negative effect on SRH for PHDs. The OR of "good" assessments of cultural environments was 25.98 times (95% CI: 1.391-485.186) higher than that of "very poor" for Other PHCWs.
conclusionsThe influences of FD policy practice on FNs' SRH were the most significant amongst PHCWs, rather than FDs' as expected. The significant factors of SRH were varied over different occupational categories, that is team/department support and policy support (though negative) for PHDs, IT system and incentive for FNs, facility and equipment for FDs, and culture environment for other PHCWs respectively.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.