Status of social support and influencing factors of support utilization among general practitioners in Minhang District of Shanghai
10.3760/cma.j.cn114798-20240713-00614
- VernacularTitle:上海市闵行区社区家庭医生社会支持状况及支持利用度的影响因素分析
- Author:
Shuai LIU
1
;
Na XU
;
Liqun GAO
;
Qingzhen LONG
;
Yonghong MU
;
Weiying GU
Author Information
1. 上海市闵行区华漕社区卫生服务中心医务科，上海 201107
- Publication Type:Journal Article
- Keywords:
Social support;
Community health centers;
Family doctor;
Utilization of support;
Influencing factors
- From:
Chinese Journal of General Practitioners
2025;24(3):288-295
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To analyze the status of social support and the influencing factors of support utilization among general practitioners.Methods:An investigation on the status of social support and the influencing factors of support utilization was conducted among general practitioners (GPs) from 6 communities in Shanghai Minhang District selected by simple sampling method in February 2023. The investigation included a questionnaire survey containing basic information and intervention measures (emotional support, information support, tool support); and assessments of the Social Support Rate Scale (SSRS), Perceived Social Support Scale, General Self-Efficacy Scale, Quality of Work Life Scale, Trait Coping Style Scale, and Psychological Resilience Scale. The association of social support status with various characteristics of GPs and their perceived social support and trait coping style was analyzed, and the influencing factors of social support utilization were determined.Results:A total of 184 questionnaires were distributed and 184 valid questionnaires were collected, with an effective recovery rate of 100.00%. Among the 184 participants, 55 (29.89%) had a general level of social support, and 129 (70.11%) were satisfied with their social support. The total score of SSRS was (37.49±8.41), with the objective support dimension scoring (9.67±3.42), subjective support scoring (20.04±4.52), and support utilization scoring (7.77±2.09). Univariate analysis showed significant differences in social support levels among respondents with different marital status, number of children, emotional support, informational support, instrumental support, positive coping, negative coping, psychological resilience, compassion fatigue, general self-efficacy, and perceived social support status ( P<0.05). Multiple linear regression analysis indicated that marital status, family support, professional skills, positive coping, and negative coping were independent influencing factors of social support. Among these factors, being married, having family care support, professional titles and skills and positive coping had a positive impact on social support levels, while negative coping had a negative impact ( P<0.05). Further stepwise multiple linear regression analysis showed that friend support, positive coping and family care were positive influencing factors for support utilization, while negative coping was a negative influencing factor ( P<0.05). Conclusion:The levels of social support among GPs in Minghang district of Shanghai are relatively high. Marital status, family support, professional title and skills and positive coping are positive factors for social support; and friend support, positive coping and family support are positive factors for support utilization.
