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Zhongguo quanke yixue
Article . 2022
Data sources: DOAJ
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Contracted Residents' Evaluation for Continuity of Contracted Family Doctor Services and Influencing Factors

Authors: LIU Songyi, MENG Wenqi, PENG Haibo, JIANG Xiaoli, LI Zixin, YU Qianqian, YIN Wenqiang, CHEN Zhongming, SUN Kui, GUO Hongwei;

Contracted Residents' Evaluation for Continuity of Contracted Family Doctor Services and Influencing Factors

Abstract

Background Since the full implementation of contracted family doctor services in 2016, we have achieved phased results. Further work needs to be paid equal attention to "quality" and "quantity", focusing on improving the residents' sense of service access and satisfaction, however, at present, the residents' evaluation of contracted family doctor services is not clear. Objective To investigate the contracted residents' evaluation for the continuity of family doctor contract, explore its influencing factors, and propose improvement strategies. Methods This study used a multi-stage stratified random sampling method to select 1 193 contracted residents from 9 community health service institutions and 9 township health centers in Heze City, Shandong Province in January 2021. A household survey was conducted on the included residents by using the continuity dimension of the Chinese version of the Primary Care Assessment Tools (PCAT) , which contains 15 items. We compared the PCAT-continuity dimension scores of contracted residents with different characteristics, and used multiple linear regression to analyze the factors influencing the PCAT-continuity dimension scores of contracted residents. Results A total of 1 098 valid questionnaires were collected, with a valid response rate of 92.04%. 541 (49.27%) of them were contracted to community health service institutions and 557 (50.73%) of them were contracted to township health centers. The average score of the PCAT-continuity dimension of the contracted residents was (3.38±0.51) . The item with the highest score was "Does your family doctor listen to you patiently", with a score of (3.64±0.59) . The item with the lowest score was "Would you be willing to change your family doctor if it was easy to do so", with a score of (2.98±0.92) . Multiple linear regression analysis showed that the type of contract organization, age, education, marital status, occupation, and chronic diseases were the factors that influence the PCAT-continuity dimension score of contracted residents (P<0.05) . Conclusion The contracted residents had an overall good evaluation on the continuity of contracted family doctor services, and the long and stable doctor-patient relationship had been established. Township health centers are better than community health service institutions. To further improve the contracted residents' evaluation of contracted family doctor services, we need to pay more attention to the type of contracting institution, the age, education level, marital status, occupation of contracted residents and their chronic diseases.

Keywords

R, Medicine, home care services|contracted family doctor services|community health services|doctor-patient relations|continuity|health services evaluations|primary care assessment tools

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
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