Evidence map›Paper›PMID 41200901›Full record

ArticlePrimary health care research & development2025

Assessing inhabitants' satisfaction and service needs: a cross-sectional survey of primary care service in Jiangsu Province, China.

Wenjun Yan, Vorapoj Promasatayaprot, Sumattana Glangkarn

Abstract read
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Article in Primary health care research & development, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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

What it found

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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

Who cites it

1 citing paper 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

3 authors.

Wenjun YanSchool of Public Health, Xuzhou Medical University, Jiangsu, China.ORCID 0000-0002-5084-1647
Vorapoj PromasatayaprotFaculty of Public Health, https://ror.org/0453j3c58Mahasarakham University, Mahasarakham, Thailand.ORCID 0000-0002-5077-7542
Sumattana GlangkarnFaculty of Public Health, https://ror.org/0453j3c58Mahasarakham University, Mahasarakham, Thailand.ORCID 0000-0002-5905-9387

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPrimary care serves as the foundation of a well-functioning healthcare system and is critical for ensuring equitable access, early disease management, and cost-effective service delivery. In China, reforming primary-level healthcare institutions has become a national priority to achieve universal health coverage. Understanding the service users' perspectives is essential to align primary care services with population health needs and improving trust in grassroots healthcare providers.

aimTo evaluate satisfaction and unmet service needs among primary care users in Jiangsu Province, China.

methodsA cross-sectional survey using structured questionnaires was given to 424 residents in urban and rural Jiangsu Province to measure satisfaction with primary hospitals, doctors, service preferences, and perceived gaps. Data was analyzed using descriptive statistics and chi-square tests to identify regional differences.

resultsThe primary care utilisation rate among respondents was 73.3%. While 75.2% reported satisfaction with medical expenses at primary-level facilities, significant urban-rural and regional differences were observed in service awareness, health policy knowledge, and perceived quality of doctor-patient communication. Primary care doctors received the highest ratings for using "easy-to-understand language"(mean score 4.13 ± 0.821) but lower scores for "professional competence" and "treatment effectiveness" (both 3.91). Rural inhabitants expressed high demand for services like management of common diseases (65.8%) and routine health examinations (52.4%), but highlighted shortages in advanced diagnostic tools (e.g., CT scans, endoscopy). Most inhabitants (67.2%) felt that primary care providers require improvement, particularly in clinical competency and communication.

conclusionThe findings highlight areas for targeted policy interventions to improve primary care service delivery and capacity-building of primary care doctors in Jiangsu Province.

Indexed as

Health Services Needs and DemandNeeds AssessmentPatient SatisfactionPrimary Health CareAdultAgedChinaCross-Sectional StudiesFemaleHumansMaleMiddle AgedRural PopulationSurveys and QuestionnairesYoung Adultcross-sectional surveyhealthcare needsJiangsu Provincepatient satisfactionprimary care

Identifiers

PMID41200901
PMCPMC12646187

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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.