Evidence map›Paper›PMID 39052549›Full record

ArticlePloS one2024

Quality of primary health care for chronic diseases in low-resource settings: Evidence from a comprehensive study in rural China.

Mingyue Li, Xiaotian Zhang, Haoqing Tang, Huixian Zheng, Ren Long, Xiaoran Cheng, Haozhe Cheng, Jiajia Dong, Xiaohui Wang, Xiaoyan Zhang and 2 more

Abstract read
In one paragraph

Article in PloS one, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

11 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors.

Mingyue LiDepartment of Health Policy and Management, School of Public Health, Peking University, Beijing, China.ORCID 0000-0001-8417-5665
Xiaotian ZhangSchool of Health Policy & Management, Nanjing Medical University, Nanjing, China.
Haoqing TangDepartment of Health Policy and Management, School of Public Health, Peking University, Beijing, China.
Huixian ZhengDepartment of Health Policy and Management, School of Public Health, Peking University, Beijing, China.
Ren LongDepartment of Health Policy and Management, School of Public Health, Peking University, Beijing, China.
Xiaoran ChengChina Center for Health Development Studies, Peking University, Beijing, China.
Haozhe ChengChina Center for Health Development Studies, Peking University, Beijing, China.
Jiajia DongDepartment of Cardiology, Fuwai Central China Cardiovascular Hospital, Zhengzhou, China.
Xiaohui WangDepartment of Cardiology, Fuwai Central China Cardiovascular Hospital, Zhengzhou, China.
Xiaoyan ZhangDepartment of Social and Behavioral Sciences, School of Global Public Health, New York University, New York, New York, United States of America.
Pascal GeldsetzerDivision of Primary Care and Population Health, Department of Medicine, Stanford University, Stanford, California, United States of America.
Xiaoyun LiuChina Center for Health Development Studies, Peking University, Beijing, China.ORCID 0000-0002-5483-0742

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThere is a paucity of evidence regarding the definition of the quality of primary health care (PHC) in China. This study aims to evaluate the PHC quality for chronic diseases in rural areas based on a modified conceptual framework tailored to the context of rural China.

methodsThis comprehensive study, involving a patient survey, a provider survey and chart abstraction, and second-hand registered data, was set in three low-resource counties in rural China from 2021 to 2022. Rural patients with hypertension or type 2 diabetes, and health care workers providing care on hypertension or diabetes were involved. The modified PHC quality framework encompasses three core domains: a competent PHC system (comprehensiveness, accessibility, continuity, and coordination), effective clinical care (assessment, diagnosis, treatment, disease management, and provider competence), and positive user experience (information sharing, shared decision-making, respect for patient's preferences, and family-centeredness). Standardized PHC quality score was generated by arithmetic means or Rasch models of Item Response Theory.

resultsThis study included 1355 patients, 333 health care providers and 2203 medical records. Ranging from 0 (the worst) to 1 (the best), the average quality score for the PHC system was 0.718, with 0.887 for comprehensiveness, 0.781 for accessibility, 0.489 for continuity, and 0.714 for coordination. For clinical care, average quality was 0.773 for disease assessment, 0.768 for diagnosis, 0.677 for treatment, 0.777 for disease management, and 0.314 for provider competence. The average quality for user experience was 0.727, with 0.933 for information sharing, 0.657 for shared decision-making, 0.936 for respect for patients' preferences, and 0.382 for family-centeredness. The differences in quality among population subgroups, although statistically significant, were small.

conclusionThe PHC quality in rural China has shown strengths and limitations. We identified large gaps in continuity of care, treatment, provider competence, family-centeredness, and shared decision-making. Policymakers should invest more effort in addressing these gaps to improve PHC quality.

Indexed as

Primary Health CareQuality of Health CareRural PopulationAdultAgedChinaChronic DiseaseDiabetes Mellitus, Type 2FemaleHumansHypertensionMaleMiddle AgedSurveys and Questionnaires

Identifiers

PMID39052549
PMCPMC11271947

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.