Evidence map›Paper›PMID 40783511›Full record

ArticleBMC health services research2025

Opportunities for improvement of community-based non-communicable disease screening practices in Indonesia: a participant satisfaction survey.

Vitri Widyaningsih, Clarissa Augustania, Dilma'aarij Agustia, Ratih Puspita Febrinasari, Manuela Fritz, Jaap Koot, Jeanet Landsman-Dijkstra, Maarten J Postma, Michael Grimm, Ari Probandari

Abstract readMulticenter Study
In one paragraph

Article in BMC health services research, 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

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

1 citing paper in PubMed.

  1. Article
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

10 authors.

Vitri WidyaningsihFaculty of Medicine, Universitas Sebelas Maret, Surakarta, Indonesia.
Clarissa AugustaniaFaculty of Medicine, Universitas Sebelas Maret, Surakarta, Indonesia.
Dilma'aarij AgustiaFaculty of Medicine, Universitas Sebelas Maret, Surakarta, Indonesia.
Ratih Puspita FebrinasariFaculty of Medicine, Universitas Sebelas Maret, Surakarta, Indonesia.
Manuela FritzDepartment Economics and Information Systems, University of Passau, Passau, Germany.
Jaap KootDepartment Health Sciences, University Medical Center Groningen, Groningen, Netherlands.
Jeanet Landsman-DijkstraDepartment Health Sciences, University Medical Center Groningen, Groningen, Netherlands.
Maarten J PostmaDepartment Health Sciences, University Medical Center Groningen, Groningen, Netherlands.
Michael GrimmDepartment Economics and Information Systems, University of Passau, Passau, Germany.
Ari ProbandariFaculty of Medicine, Universitas Sebelas Maret, Surakarta, Indonesia. ari.probandari@staff.uns.ac.id.

Funding

European Union's Horizon 825026Universitas Sebelas Maret 194.2/UN27.22/ PT.01.03/2024
6 · The paper itself

Abstract

backgroundNon-communicable diseases (NCDs) remain a pressing public health problem globally, including in Indonesia. Despite the importance of NCD screening, screening uptake remains low. To improve screening capacity and linkage to care, the government of Indonesia launched Posbindu, a community-based intervention focused on screening and prevention of NCDs and their risk factors, which has also been integrated into the new Integrated Primary Health Care (IPC) policy. Effective implementation of Posbindu tailored to community needs is important to ensure utilization. This paper aims to measure the satisfaction of Posbindu participants and identify areas for improvement, including potential implementation in the new IPC policy of Indonesia.

methodsA total of 1,263 participants were recruited from three provinces in Indonesia, i.e., Central Java, East Java, and North Sumatra. A validated Quality of Care as seen through the Eyes of the Patient (QUOTE) questionnaire was used to measure satisfaction in five dimensions: (1) service availability, (2) communication and information, (3) patient-staff interaction and counselling, (4) infrastructure, and (5) professional competence. A quality impact score (QIS) was calculated to measure the satisfaction level. Chi-square tests was conducted in STATA 16.0 to analyse QIS by different sociodemographic characteristics, highlighting specific needs among subpopulations.

resultsMost respondents were women (86.4%), aged 45-59, high school graduates, not working, and living in rural areas. The participants were generally dissatisfied with the availability of services and Posbindu's infrastructure, particularly regarding the availability and sufficiency of health workers, health screening equipment, and health information posters, as well as easy access to Posbindu. The highest QIS (3.7) was observed in the health screening availability. The stratified analysis revealed that older urban participants emphasized the need for health screening availability and healthcare worker sufficiency, whereas rural participants with lower education reported inadequate health information materials.

conclusionSatisfaction with services availability and infrastructure of Posbindu is still lacking. To improve services availability, ensuring sufficiency of health workers or cadres as well as improving infrastructure by providing health screening equipment and health education materials are important. Improving access to NCDs screening can also be conducted by integrating Posbindu into existing community-based activities.

Indexed as

Community Health ServicesMass ScreeningNoncommunicable DiseasesPatient SatisfactionQuality ImprovementAdolescentAdultCross-Sectional StudiesFemaleHealth Services AccessibilityHumansIndonesiaMaleMiddle AgedPatient Acceptance of Health CareRisk FactorsCommunity-based interventionNCD screeningNon-communicable diseases (NCDs)Patient satisfaction

Identifiers

PMID40783511
PMCPMC12335764

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.