Evidence map›Paper›PMID 42685142›Full record

ArticlePloS one2026

Designing a provider-led multimorbidity care model for fragmented insurance-based health systems: A mixed-methods study in Colombia.

Omaira Valencia, Oscar Bernal

Abstract read
In one paragraph

Article in PloS one, 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

2 authors.

Omaira ValenciaFaculty of Medicine, Doctoral Program in Public Health, Universidad El Bosque, Bogotá, Colombia.ORCID https://orcid.org/0000-0003-1617-1667
Oscar BernalSchool of Government, Universidad de los Andes, Bogotá, Colombia.ORCID https://orcid.org/0000-0003-2514-3318

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Multimorbidity the coexistence of two or more chronic conditions is a growing challenge for health systems in low- and middle-income countries (LMICs) structured around single-disease paradigms. In Colombia, insurer-provider fragmentation within the General System of Social Security in Health (SGSSS) compounds this challenge, generating discontinuities in care that disproportionately affect people living with multiple chronic conditions. Despite a national epidemiological characterisation, a World Bank-supported management proposal, and a formal pilot implementation, limited published evidence exists of a sustained, provider-level, evidence-grounded model for multimorbidity care in fragmented, insurance-based systems. A sequential exploratory mixed-methods design was employed, comprising three phases: (1) a structured evidence synthesis to identify operational domains and implementation gaps in multimorbidity care models; (2) evidence-informed conceptual model construction; and (3) expert feasibility consultation using elements of the Nominal Group Technique with healthcare professionals and system stakeholders (n = 11). Phases were sequentially integrated, with each informing the development of the next. Evidence synthesis identified five recurring structural domains and four cross-cutting implementation gaps, which together informed the construction of the Integrated Provider-level Adaptive Multimorbidity Model (IPAM). The IPAM comprises five interdependent provider-level components designed to function within fragmented, insurance-based systems. Expert consultation confirmed operational feasibility (mean 4.3/5), clinical relevance (4.7/5), and territorial adaptability (4.6/5) of the proposed model. The IPAM offers a structured, adaptable conceptual framework for strengthening multimorbidity care within provider institutions (IPS) operating in fragmented, insurance-based health systems. Its core design principles minimum-viable risk stratification, provider-level governance, proactive follow-up, and graduated technology integration - are transferable to analogous LMIC contexts. Prospective implementation and cost-effectiveness evaluation represent the essential next phase of validation.

Indexed as

Delivery of Health CareInsurance, HealthMultimorbidityColombiaHealth PersonnelHumans

Identifiers

PMID42685142
PMCPMC13537686

What Socratic holds

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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 Socratic graph.