Evidence map›Paper›PMID 42499133›Full record

ArticlePublic health nursing (Boston, Mass.)

How Nurses in Nursing Community Clinics Enhance Client Care Under Thailand's Universal Coverage Scheme (UCS): A Qualitative Research.

Nakharin Chueanit, Areewan Oumtanee, Chawapon Sarnkhaowkhom

Abstract read
In one paragraph

Article in Public health nursing (Boston, Mass.). 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

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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Nakharin ChueanitFaculty of Nursing, Chulalongkorn University, Bangkok, Thailand.ORCID https://orcid.org/0009-0001-9424-0093
Areewan OumtaneeFaculty of Nursing, Chulalongkorn University, Bangkok, Thailand.
Chawapon SarnkhaowkhomDepartment of Health Education and Behavioral Sciences, Faculty of Public Health, Mahidol University, Bangkok, Thailand.ORCID https://orcid.org/0000-0003-4781-2041

Funding

Chulalongkorn University
6 · The paper itself

Abstract

objectiveTo explore how nurses in Thailand's Nursing Community Clinics (NCCs) enhance client care within the Universal Coverage Scheme (UCS).

designA qualitative study was employed. SAMPLE: Participants were purposively recruited from 254 NCCs across Thailand. Of the 28 NCCs that met the inclusion criteria, 12 participants were recruited, achieving data saturation. MEASUREMENTS: Data were collected from January to February 2024 through individual semi-structured interviews. Thematic analysis, guided by the scope of services and relevant literature, identified key themes. Trustworthiness was ensured using Guba and Lincoln's criteria.

resultsThree themes emerged. First, nurses enhanced access to care by strategically locating clinics and providing free services, reducing financial and transportation barriers for vulnerable populations. Second, personalised education and self-management support improved patient outcomes and quality of life. Third, effective interdisciplinary collaboration ensured seamless care coordination.

conclusionsThis study highlights the critical role of nurses in improving healthcare access and health equity within the Universal Coverage Scheme. The findings have direct implications for public health nursing, as community-based nurses serve as essential first-contact providers for underserved populations. Nursing councils should develop specialised courses and expand the scope of practice for public health nurses to strengthen primary healthcare delivery.

Indexed as

Community Health NursingNurse's RoleUniversal Health InsuranceAccess to Primary CareAdultFemaleHealth Services AccessibilityHumansMaleMiddle AgedQualitative ResearchThailandnursing community clinicsprimary health careuniversal coverage scheme

Identifiers

PMID42499133
PMCPMC13535884

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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.