Evidence map›Paper›PMID 41845433›Full record

SynthesisBMC health services research2026

Equitable utilization of non-communicable disease services in low- and middle-income countries; associated factors and intervention effects: a systematic review and meta-analysis.

Yadanar, Myint Si Thu, Mathuros Tipayamongkholgul

Abstract readSystematic ReviewMeta-Analysis
In one paragraph

Synthesis in BMC health services research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

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.

YadanarASEAN Institute for Health Development, Mahidol University, Nakhon Pathom, Thailand.
Myint Si ThuUniversity of Medicine, Magway, Magway, Myanmar.
Mathuros TipayamongkholgulResearch Institute for Languages and Cultures of Asia, Mahidol University, 999 Phuttamontol Sai 4, Salaya, Phuttamontol, Nakhon Pathom, 73170, Thailand. mathuros.tip@mahidol.ac.th.ORCID http://orcid.org/0000-0002-2585-1659

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWith aging populations, a double burden of disease, and post-COVID-19 economic strain, managing non-communicable diseases (NCDs) has become a major challenge in low- and middle-income countries (LMICs). While most studies examine inequities in general healthcare utilization, few focus specifically on NCDs services. This review addresses that gap by synthesizing evidence on associated factors of equitable NCDs service utilization and assessing interventions to improve utilization.

methodsA systematic review and meta-analysis were conducted following PRISMA-Equity guidelines, including studies published between 2014 and 2024. Eligible studies examined socioeconomic and demographic associated factors of NCDs service utilization or evaluated interventions to reduce inequities. In the meta-analysis, pooled estimates for NCDs service utilization were performed using a random effects model. Heterogeneity among studies was assessed using I² statistics.

resultsTwenty-three studies were included. Overall, NCDs service utilization showed a clear pro-rich pattern, with wealthier groups consistently utilizing more services. The pooled outpatient NCD service utilization was 52.84% (95% CI: 41.04–64.64). Compared with the poorest wealth quintile, higher wealth status was significantly associated with greater NCDs service utilization (AOR = 1.44; 95% CI: 1.18–1.74). Socioeconomic status was the strongest associated factor, while gender, rural residence, and insurance status showed no consistent effects. Interventions such as patient-centered care, provider training, system-level reforms, and digital health integration showed promising outcomes.

conclusionThis review highlights that inequities in NCDs service utilization are driven primarily by poverty and structural barriers, not demographic factors alone. By focusing specifically on NCDs, it adds new evidence to equity literature that has previously concentrated on general healthcare use. Targeted pro-poor strategies and innovative interventions are essential to reduce disparities and improve NCD outcomes in LMICs.

Indexed as

Developing CountriesHealthcare DisparitiesNoncommunicable DiseasesPatient Acceptance of Health CareHumansSocioeconomic Disparities in HealthSocioeconomic FactorsDeveloping countriesHealthcare disparitiesHealth services utilizationMeta-analysisNon-communicable diseasesPatient-centered careSocioeconomic factorsSystematic review

Identifiers

PMID41845433
PMCPMC13107714

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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 Socratic graph.