Zhongguo quanke yixue (Dec 2023)

Current Situation of the Construction of Family Doctor Team: an Investigation Based on the Perspective of General Practitioners

  • HAO Aihua, ZENG Weilin, LI Guanhai, XIA Yinghua, CHEN Liang

DOI
https://doi.org/10.12114/j.issn.1007-9572.2023.0035
Journal volume & issue
Vol. 26, no. 34
pp. 4261 – 4268

Abstract

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Background Currently, there are many studies on family doctor contracting services from the perspective of residents, but few scholars have conducted studies on the current situation of family doctor team contracting based on the perspective of general practitioners (GPs) . Objective To understand the current situation of family doctor contracting services in primary health care institutions in Guangdong Province, and explore the factors affecting the contracted number from the perspective of the supplier. Methods From July 5—31, 2021, GPs in primary health care institutions in Guangdong Province were selected as the study subjects by using a multi-stage stratified cluster sampling method to conduct the survey with a self-designed questionnaire. The contracted number was compared by different GPs and their family doctor team characteristics. A two-level Logistic regression developed by R 4.2.2 software was used to identify influencing factors of contracted number above 2 000. Results A valid sample of 3 252 cases in family doctor team with contracted number more than 100 was screened, and the median contracted number was 1 400 (2 499) in 2020. The differences were statistically significant when comparing the contracted number by gender, age, education level, position, employment form, working years, working unit, working area, training acceptance, and annual income, number of team members, population size under jurisdiction, willingness of specialists from medical community to join the team, inpatient bed resources and guidance from superior departments (P<0.05). Zero model fitting showed that contracted number was clustered at the regional level (P<0.05). Two-level Logistic regression model showed that, with master's degree or above as the reference, the contracted number of the team including GPs with college〔OR (95%CI) =2.79 (1.84, 3.74) 〕and secondary/high school〔OR (95%CI) =2.83 (1.80, 3.86) 〕degrees were more likely to be above 2 000; taking no position as reference, the contracted number of the team including unit leaders〔OR (95%CI) =0.66 (0.33, 0.99) 〕was more likely to be above 2 000; taking temporary staff as reference, the contracted number of the team including formal staff〔OR (95%CI) =2.02 (1.53, 2.51) 〕was more likely to be above 2 000; taking the team with size of 3 or less people as reference, the contracted numbers of the teams with size of 4 to 6 people〔OR (95%CI) =1.31 (1.05, 1.57) 〕, 7-10 people〔OR (95%CI) =2.06 (1.75, 2.37) 〕, 11-19 people〔OR (95%CI) =3.67 (3.31, 4.03) 〕and≥20 people〔OR (95%CI) =3.46 (2.74, 4.18) 〕were more likely to be above 2 000; taking population size under jurisdiction at 2 000 or less as reference, the contracted numbers of the team with population size under jurisdiction at 2 001 to 9 999〔OR (95%CI) =2.37 (2.12, 2.62) 〕, 10 000 to 29 999〔OR (95%CI) =2.92 (2.65, 3.19) 〕and more than 30 000〔OR (95%CI) =2.86 (2.55, 3.17) 〕were more likely to be above 2 000; taking condition of having inpatient bed resources as reference, the contracted number of the teams without such resources〔OR (95%CI) =1.38 (1.14, 1.62) 〕was more likely to be above 2 000 (P<0.05) . Conclusion The population under jurisdiction and the large number of team members create favorable conditions for contracting; family doctor teams with GPs with positions, inpatient bed resources and high education level have a good understanding of family doctor contracting service policies and control the number of contracted patients better; comparing with temporary staff, GPs team with formal staff may undertake more contracting tasks.

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