Socioeconomic status moderates the association between patient satisfaction with community health service and self-management behaviors in patients with type 2 diabetes

Yin, Tao; Yin, Delu; Xiao, Feng; Xin, Qianqian; Li, Ruili; Zheng, Xiaoguo; Yang, Huimin; Wang, Lihong; Ding, Xiaoyan; Chen, Bowen

doi:10.1097/md.0000000000015849

Cited by 24 publications

(36 citation statements)

References 28 publications

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“…Some studies found higher satisfaction among the population with lower education level. 15 Some studies reported the opposite results, 37 while others had discovered no significant relationship. 38 In this study, people with lower education levels were found to be more satisfied with health services.…”

Section: Discussionmentioning

confidence: 99%

“…It may be because people with lower educational levels had better medication adherence. 15 Conversely, people with higher education were more inclined to ask questions about what was being told, and their medication adherence was not good. Meanwhile, people with higher education levels are expected to be given preferential treatment.…”

Section: Discussionmentioning

confidence: 99%

“…As with other developing countries, many scholars have already evaluated the satisfaction with health service in China, including “diabetes patients’ satisfaction with community health service,” 15 “patient satisfaction with county-level public hospitals’ service,” 16 and “noncommunicable disease patients’ satisfaction with family doctor-contracted services.” 17 Most research subjects were patients with a specific disease, and most studies evaluate the satisfaction of a particular service. There are fewer studies on integrating specific health service items into several categories and analyzing their satisfaction.…”

Section: Introductionmentioning

confidence: 99%

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Who Is More Satisfied with Health Services? A Cross-Sectional Study in China

Qin

Ding

2021

INQUIRY

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This cross-sectional study aims to assess the Chinese population’s satisfaction with health service and identify 2 types of variables, Andersen’s behavioral model related variables and social environment variables associated with high satisfaction. Data were derived from the 2013 Chinese General Social Survey (CGSS). Using exploratory factor analysis, the original questionnaire’s 10 health services were grouped into 2 dimensions, including “health management service” and “public health service.” Then, the satisfaction was described. The associations between satisfaction and factors were assessed using a multivariable logistic regression model. As a result, a total of 5283 subjects were enrolled. The satisfaction was 56.74% for “health management service” and 54.48% for “public health service.” Those with older age, lower education level, positive social environment factors (ie, higher perceived social class, higher perceived social trust, and perceived social equity), and having pension were more likely to report high satisfaction. Moreover, compared to the east region (the most prosperous region), the individuals from the central region or the north-east region (both regional economic levels were medium) had lower odds of reporting high satisfaction. In comparison, those from the west region (the least developed region) had higher odds. In conclusion, actionable measures to increase satisfaction should be proposed by the Chinese government, including increasing pension insurance coverage, increasing investment in health services, creating an excellent social environment, etc.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Who Is More Satisfied with Health Services? A Cross-Sectional Study in China

Qin

Ding

2021

INQUIRY

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“…A systematic review has summarized the domains used for patient satisfaction measurement in Saudi Arabia, which includes communication attributes, relational conduct, technical skill, personal qualities, availability, and accessibility [12]. Meanwhile, many empirical studies have been conducted to measure patient satisfaction in different countries, such as England [13], Pakistan [14,15], China [16,17,18,19,20], Germany [21], Saudi Arabia [22], the U.S. [23], Canada [24], Italy [25], and South Africa [26]. Among these studies, multifarious measures were employed and numerous determinants of patient satisfaction were identified.…”

Section: Introductionmentioning

confidence: 99%

Patient Satisfaction with Rural Medical Services: A Cross-Sectional Survey in 11 Western Provinces in China

Liu

Mao

2019

IJERPH

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Rural medical services play an important role in protecting and promoting the health of the rural population; however, patient satisfaction with rural medical services has been understudied in China. A better understanding of the actual situation and the determinants involved will provide evidence for health-related policy makers and hospital managers to further improve rural medical services. A total of 9811 patients (5208 outpatients and 4603 inpatients) were included in this study from a cross-sectional survey conducted in rural hospitals from 11 western provinces in China. Three in five patients (including outpatients and inpatients) were satisfied with rural medical services. The mean overall satisfaction scores were 3.61 ± 0.857 and 3.80 ± 0.829 (out of a maximum of 5) for rural outpatients and inpatients, respectively. The most satisfying domains for outpatients and inpatients were medical service attitude and illness explanation, and waiting time and medical expenses were the domains that outpatients and inpatients were least satisfied with. Satisfaction with medical technology (OR: 1.73; 95% CI: 1.57–1.92) and satisfaction with trust in physicians (OR: 2.05; 95% CI: 1.85–2.28) were identified as the strongest predictors of outpatients’ and inpatients’ overall satisfaction with rural medical services, respectively. This study might shed light on rural medical services management in China.

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“…In terms of community health service, it proposed that patients' satisfaction with community health service was moderate, high satisfaction with the community health service shown better medication adherence and regular self-monitoring of blood glucose, and these associations varied by socioeconomic status [9]. In particular, team-based care can improve patients' glucose levels, blood pressure, and lipid levels based on community preventive services task force [10].…”

Section: Introductionmentioning

confidence: 99%

Analysis of Influencing Factors of Community Management of Diabetes based on Adaptive-Lasso Logistic Regression Model

Lin¹,

Huang²,

Cao³

et al. 2020

Preprint

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Background: Influencing factors of community management of diabetes are complex and controversial, and how to select the most effective multiple influencing factors requires in-depth research. This study aims to analyse multiple influencing factors by adaptive-lasso logistic regression model for the effectiveness of diabetes management of the community to improve the efficiency and reduce the burden of diabetes. Methods: A cross-sectional survey (N=1,127) was adopted to establish the adaptive-lasso logistic regression model of influencing factors for community management of diabetic patients based on cluster sampling data of diabetic patients in Chengdu city, China. By comparing with the full-variable logistic model and the ridge logistic model to find the advantages of the adaptive lasso-logistic regression model in community diabetes management. Results: A total of 1,127 diabetic patients were included in the cross-sectional survey. The latest fasting blood glucose was included in the analysis. Among the included population, 90.6% of them had a fasting glucose level higher than 6.1mol/L, and 9.4% of them were below 6.1mol/L. By cross-validation, after folding eight times, the variables involved in the Adaptive lasso-logistic regression model include age, education level, main source of income, marital status, average monthly income, free medical service, basic medical insurance for residents, hospital history, number of follow-up evaluations by family doctor team, voluntary participation in community blood glucose measurement. The AIC and BIC criteria of adaptive lasso-logistic regression model were 2062 and 1981, which were lower than the full-variable logistic model (2349, 2023) and the ridge logistic model (2312, 2013). From the perspective of time cost, the adaptive-lasso logistic regression model was better than the other two models. Conclusions: The adaptive-lasso logistic regression model can be used to analyse the influencing factors of community management in patients with diabetes. Community intervention and intensive management measures can significantly improve the blood glucose status of patients with diabetes.

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Socioeconomic status moderates the association between patient satisfaction with community health service and self-management behaviors in patients with type 2 diabetes

Cited by 24 publications

References 28 publications

Who Is More Satisfied with Health Services? A Cross-Sectional Study in China

Who Is More Satisfied with Health Services? A Cross-Sectional Study in China

Patient Satisfaction with Rural Medical Services: A Cross-Sectional Survey in 11 Western Provinces in China

Analysis of Influencing Factors of Community Management of Diabetes based on Adaptive-Lasso Logistic Regression Model

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