Effect of family doctor contract services on patient perceived quality of primary care in southern China

Background Family doctor contract service is an important service item in China's primary care reform. This research was designed to evaluate the impact of the provision of family doctor contract services on the patient-perceived quality of primary care, and therefore give evidence-based policy...

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Veröffentlicht in:BMC family practice 2020-10, Vol.21 (1), p.1-218, Article 218
Hauptverfasser: Feng, Shanshan, Cheng, Aiyun, Luo, Zhenni, Xiao, Yao, Zhang, Luwen
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Cheng, Aiyun
Luo, Zhenni
Xiao, Yao
Zhang, Luwen
description Background Family doctor contract service is an important service item in China's primary care reform. This research was designed to evaluate the impact of the provision of family doctor contract services on the patient-perceived quality of primary care, and therefore give evidence-based policy suggestions. Methods This cross-sectional study of family doctor contract service policy was conducted in three pilot cities in the Pearl River Delta, South China, using a multistage stratified sampling method. The validated Primary Care Assessment Tool-Adult Edition (PCAT-AS) was used to measure the quality of primary care services. PCAT-AS assesses each of the unique characteristics of primary care including first contact, continuity, comprehensiveness, coordination, family-centeredness, community orientation, culture orientation. Data was collected through face-to-face interviews held from July to November, 2015. Covariate analysis and multivariate Linear Regression were adopted to explore the effect of contract on the quality of primary care by controlling for the socio-demographic status and health care service utilization factors. Results A total of 828 valid questionnaires were collected. Among the interviewees, 453 patients signed the contract (54.7%) and 375 did not (45.3%). Multivariate linear regression showed that contracted patients reported higher scores in dimensions of PCAT total score (beta = - 8.98, P < 0.000), first contact-utilization(beta = - 0.71,P < 0.001), first contact-accessibility(beta = - 1.49, P < 0.001), continuity (beta = 1.27, P < 0.001), coordination (referral) (beta = - 1.42, P < 0.001), comprehensiveness (utilization) (beta = - 1.70, P < 0.001), comprehensiveness (provision) (beta = - 0.99, P < 0.001),family-centeredness(beta = - 0.52, P < 0.01), community orientation(beta = - 1.78, P < 0.001), than un- contracted after controlling socio-demographic and service utilization factors. There were no statistically significant differences in the dimensions of coordination (information system) (beta = - 0.25, P = 0.137) and culture orientation (beta = - 0.264, P = 0.056) between the two both groups. Conclusions This study demonstrates that the pilot implementation of family doctor contract services has significantly improved patients' perceived primary care quality in the pilot cities, and could help solve the quality problem of primary care. It needs further promotion across the province.
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This research was designed to evaluate the impact of the provision of family doctor contract services on the patient-perceived quality of primary care, and therefore give evidence-based policy suggestions. Methods This cross-sectional study of family doctor contract service policy was conducted in three pilot cities in the Pearl River Delta, South China, using a multistage stratified sampling method. The validated Primary Care Assessment Tool-Adult Edition (PCAT-AS) was used to measure the quality of primary care services. PCAT-AS assesses each of the unique characteristics of primary care including first contact, continuity, comprehensiveness, coordination, family-centeredness, community orientation, culture orientation. Data was collected through face-to-face interviews held from July to November, 2015. Covariate analysis and multivariate Linear Regression were adopted to explore the effect of contract on the quality of primary care by controlling for the socio-demographic status and health care service utilization factors. Results A total of 828 valid questionnaires were collected. Among the interviewees, 453 patients signed the contract (54.7%) and 375 did not (45.3%). Multivariate linear regression showed that contracted patients reported higher scores in dimensions of PCAT total score (beta = - 8.98, P < 0.000), first contact-utilization(beta = - 0.71,P < 0.001), first contact-accessibility(beta = - 1.49, P < 0.001), continuity (beta = 1.27, P < 0.001), coordination (referral) (beta = - 1.42, P < 0.001), comprehensiveness (utilization) (beta = - 1.70, P < 0.001), comprehensiveness (provision) (beta = - 0.99, P < 0.001),family-centeredness(beta = - 0.52, P < 0.01), community orientation(beta = - 1.78, P < 0.001), than un- contracted after controlling socio-demographic and service utilization factors. There were no statistically significant differences in the dimensions of coordination (information system) (beta = - 0.25, P = 0.137) and culture orientation (beta = - 0.264, P = 0.056) between the two both groups. Conclusions This study demonstrates that the pilot implementation of family doctor contract services has significantly improved patients' perceived primary care quality in the pilot cities, and could help solve the quality problem of primary care. It needs further promotion across the province.]]></description><identifier>ISSN: 1471-2296</identifier><identifier>EISSN: 1471-2296</identifier><identifier>DOI: 10.1186/s12875-020-01287-7</identifier><identifier>PMID: 33099322</identifier><language>eng</language><publisher>LONDON: Springer Nature</publisher><subject>Chronic illnesses ; Cities ; Community ; Contract manufacturing ; Contracts ; Evidence-based medicine ; Family doctor contract services ; Family medicine ; Family physicians ; General &amp; Internal Medicine ; General practitioners ; Health care industry ; Health care reform ; Health facilities ; Health services ; Hospitals ; Life Sciences &amp; Biomedicine ; Medical care quality ; Medicine, General &amp; Internal ; Patient satisfaction ; Physicians ; Primary care ; Primary care assessment tool (PCAT) ; Primary Health Care ; Public health ; Quality ; Questionnaires ; Sample size ; Science &amp; Technology ; Teams</subject><ispartof>BMC family practice, 2020-10, Vol.21 (1), p.1-218, Article 218</ispartof><rights>COPYRIGHT 2020 BioMed Central Ltd.</rights><rights>2020. 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This research was designed to evaluate the impact of the provision of family doctor contract services on the patient-perceived quality of primary care, and therefore give evidence-based policy suggestions. Methods This cross-sectional study of family doctor contract service policy was conducted in three pilot cities in the Pearl River Delta, South China, using a multistage stratified sampling method. The validated Primary Care Assessment Tool-Adult Edition (PCAT-AS) was used to measure the quality of primary care services. PCAT-AS assesses each of the unique characteristics of primary care including first contact, continuity, comprehensiveness, coordination, family-centeredness, community orientation, culture orientation. Data was collected through face-to-face interviews held from July to November, 2015. Covariate analysis and multivariate Linear Regression were adopted to explore the effect of contract on the quality of primary care by controlling for the socio-demographic status and health care service utilization factors. Results A total of 828 valid questionnaires were collected. Among the interviewees, 453 patients signed the contract (54.7%) and 375 did not (45.3%). Multivariate linear regression showed that contracted patients reported higher scores in dimensions of PCAT total score (beta = - 8.98, P < 0.000), first contact-utilization(beta = - 0.71,P < 0.001), first contact-accessibility(beta = - 1.49, P < 0.001), continuity (beta = 1.27, P < 0.001), coordination (referral) (beta = - 1.42, P < 0.001), comprehensiveness (utilization) (beta = - 1.70, P < 0.001), comprehensiveness (provision) (beta = - 0.99, P < 0.001),family-centeredness(beta = - 0.52, P < 0.01), community orientation(beta = - 1.78, P < 0.001), than un- contracted after controlling socio-demographic and service utilization factors. There were no statistically significant differences in the dimensions of coordination (information system) (beta = - 0.25, P = 0.137) and culture orientation (beta = - 0.264, P = 0.056) between the two both groups. Conclusions This study demonstrates that the pilot implementation of family doctor contract services has significantly improved patients' perceived primary care quality in the pilot cities, and could help solve the quality problem of primary care. It needs further promotion across the province.]]></description><subject>Chronic illnesses</subject><subject>Cities</subject><subject>Community</subject><subject>Contract manufacturing</subject><subject>Contracts</subject><subject>Evidence-based medicine</subject><subject>Family doctor contract services</subject><subject>Family medicine</subject><subject>Family physicians</subject><subject>General &amp; Internal Medicine</subject><subject>General practitioners</subject><subject>Health care industry</subject><subject>Health care reform</subject><subject>Health facilities</subject><subject>Health services</subject><subject>Hospitals</subject><subject>Life Sciences &amp; Biomedicine</subject><subject>Medical care quality</subject><subject>Medicine, General &amp; Internal</subject><subject>Patient satisfaction</subject><subject>Physicians</subject><subject>Primary care</subject><subject>Primary care assessment tool (PCAT)</subject><subject>Primary Health Care</subject><subject>Public health</subject><subject>Quality</subject><subject>Questionnaires</subject><subject>Sample size</subject><subject>Science &amp; 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Technology</topic><topic>Teams</topic><toplevel>online_resources</toplevel><creatorcontrib>Feng, Shanshan</creatorcontrib><creatorcontrib>Cheng, Aiyun</creatorcontrib><creatorcontrib>Luo, Zhenni</creatorcontrib><creatorcontrib>Xiao, Yao</creatorcontrib><creatorcontrib>Zhang, Luwen</creatorcontrib><collection>Web of Knowledge</collection><collection>Web of Science - Science Citation Index Expanded - 2020</collection><collection>Web of Science - Social Sciences Citation Index – 2020</collection><collection>Web of Science Core Collection</collection><collection>Science Citation Index Expanded</collection><collection>Social Sciences Citation Index</collection><collection>Web of Science Primary (SCIE, SSCI &amp; AHCI)</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Health &amp; Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Health &amp; Medical Complete (Alumni)</collection><collection>Health &amp; Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Access via ProQuest (Open Access)</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>BMC family practice</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Feng, Shanshan</au><au>Cheng, Aiyun</au><au>Luo, Zhenni</au><au>Xiao, Yao</au><au>Zhang, Luwen</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Effect of family doctor contract services on patient perceived quality of primary care in southern China</atitle><jtitle>BMC family practice</jtitle><stitle>BMC FAM PRACT</stitle><date>2020-10-24</date><risdate>2020</risdate><volume>21</volume><issue>1</issue><spage>1</spage><epage>218</epage><pages>1-218</pages><artnum>218</artnum><issn>1471-2296</issn><eissn>1471-2296</eissn><abstract><![CDATA[Background Family doctor contract service is an important service item in China's primary care reform. This research was designed to evaluate the impact of the provision of family doctor contract services on the patient-perceived quality of primary care, and therefore give evidence-based policy suggestions. Methods This cross-sectional study of family doctor contract service policy was conducted in three pilot cities in the Pearl River Delta, South China, using a multistage stratified sampling method. The validated Primary Care Assessment Tool-Adult Edition (PCAT-AS) was used to measure the quality of primary care services. PCAT-AS assesses each of the unique characteristics of primary care including first contact, continuity, comprehensiveness, coordination, family-centeredness, community orientation, culture orientation. Data was collected through face-to-face interviews held from July to November, 2015. Covariate analysis and multivariate Linear Regression were adopted to explore the effect of contract on the quality of primary care by controlling for the socio-demographic status and health care service utilization factors. Results A total of 828 valid questionnaires were collected. Among the interviewees, 453 patients signed the contract (54.7%) and 375 did not (45.3%). Multivariate linear regression showed that contracted patients reported higher scores in dimensions of PCAT total score (beta = - 8.98, P < 0.000), first contact-utilization(beta = - 0.71,P < 0.001), first contact-accessibility(beta = - 1.49, P < 0.001), continuity (beta = 1.27, P < 0.001), coordination (referral) (beta = - 1.42, P < 0.001), comprehensiveness (utilization) (beta = - 1.70, P < 0.001), comprehensiveness (provision) (beta = - 0.99, P < 0.001),family-centeredness(beta = - 0.52, P < 0.01), community orientation(beta = - 1.78, P < 0.001), than un- contracted after controlling socio-demographic and service utilization factors. There were no statistically significant differences in the dimensions of coordination (information system) (beta = - 0.25, P = 0.137) and culture orientation (beta = - 0.264, P = 0.056) between the two both groups. Conclusions This study demonstrates that the pilot implementation of family doctor contract services has significantly improved patients' perceived primary care quality in the pilot cities, and could help solve the quality problem of primary care. It needs further promotion across the province.]]></abstract><cop>LONDON</cop><pub>Springer Nature</pub><pmid>33099322</pmid><doi>10.1186/s12875-020-01287-7</doi><tpages>11</tpages><orcidid>https://orcid.org/0000-0001-6271-0188</orcidid><oa>free_for_read</oa></addata></record>
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subjects Chronic illnesses
Cities
Community
Contract manufacturing
Contracts
Evidence-based medicine
Family doctor contract services
Family medicine
Family physicians
General & Internal Medicine
General practitioners
Health care industry
Health care reform
Health facilities
Health services
Hospitals
Life Sciences & Biomedicine
Medical care quality
Medicine, General & Internal
Patient satisfaction
Physicians
Primary care
Primary care assessment tool (PCAT)
Primary Health Care
Public health
Quality
Questionnaires
Sample size
Science & Technology
Teams
title Effect of family doctor contract services on patient perceived quality of primary care in southern China
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