Evidence map›Paper›PMID 35619810›Full record

ArticleFrontiers in public health2022

Development and Validation of a Rapid Assessment Version of the Assessment Survey of Primary Care in China.

Chenwen Zhong, Junjie Huang, Lina Li, Zhuojun Luo, Cuiying Liang, Mengping Zhou, Li Kuang

Abstract read
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Article in Frontiers in public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Chenwen ZhongDepartment of Health Policy and Management, School of Public Health, Sun Yat-sen University, Guangzhou, China.
Junjie HuangJockey Club School of Public Health and Primary Care, The Chinese University of Hong Kong, Hong Kong, China.
Lina LiDepartment of Health Policy and Management, School of Public Health, Sun Yat-sen University, Guangzhou, China.
Zhuojun LuoDepartment of Health Policy and Management, School of Public Health, Sun Yat-sen University, Guangzhou, China.
Cuiying LiangDepartment of Health Policy and Management, School of Public Health, Sun Yat-sen University, Guangzhou, China.
Mengping ZhouDepartment of Health Policy and Management, School of Public Health, Sun Yat-sen University, Guangzhou, China.
Li KuangDepartment of Health Policy and Management, School of Public Health, Sun Yat-sen University, Guangzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Measuring quality of primary care has attracted much attention around the world. Our team has developed and validated an Assessment Survey of Primary Care (ASPC) for evaluating quality of primary care in China. To facilitate the daily use of ASPC, this study aimed to develop and validate a rapid assessment version of ASPC (RA-ASPC) in China. Methods: This is a multi-phase study on 21 experts and 1,184 patients from 12 primary care facilities in 10 cities in China. Importance, representativeness, easy understanding, and general applicability of each item in ASPC scale were rated to select the top two ranked items for constituting RA-ASPC. Reliability of RA-ASPC was tested by calculating both Cronbach's alpha and McDonald's omega coefficients. Structural validity was assessed by exploratory and confirmatory factor analysis (EFA and CFA). Concurrent validity was performed by analyzing the relationship between RA-ASPC and patient satisfaction. Discriminant validity was tested by assessing the difference of RA-ASPC scores between patients with or without family doctors. Results: Ten items were selected for RA-ASPC. Both Cronbach's alpha (0.732) and McDonald's omega (0.729) suggested satisfactory internal consistency. In EFA, explained variance of RA-ASPC (72.6%) indicated its ability to measure quality of primary care in China. CFA indicators showed convincing goodness-of-fit (GFI = 0.996, AGFI = 0.992, CFI = 1.000, NFI = 0.980, RMR = 0.022, and the RMSEA = 0.000) for RA-ASPC. Positive association between RA-ASPC and patient satisfaction supported the concurrent validity of RA-ASPC. Patients with family doctors perceived higher quality of primary care than those without family doctors, indicating good discriminant validity of RA-ASPC. Conclusion: The theoretical framework of RA-ASPC was in line with internationally recognized core functions of primary care. Good psychometric properties of RA-ASPC proved its appropriateness in assessing quality of primary care from patients' perspectives in China.

Indexed as

Primary Health CareChinaHumansPsychometricsReproducibility of ResultsSurveys and Questionnairesconfirmatory factor analysisCOSMIN checklistexploratory factor analysisprimary carevalidation

Identifiers

PMID35619810
PMCPMC9127135

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