Evidence map›Paper›PMID 42491175›Full record

ArticleJournal of multimorbidity and comorbidity

Multimorbidity after USAID.

Justin Dixon, Efison Dhodho

Abstract read
In one paragraph

Article in Journal of multimorbidity and comorbidity. 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.

Justin DixonThe Health Research Unit Zimbabwe, Biomedical Research and Training Institute, Harare, Zimbabwe.ORCID https://orcid.org/0000-0002-7706-7305
Efison DhodhoDepartment of Global Health and Development, London School of Hygiene and Tropical Medicine, London, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Multimorbidity-the coexistence of multiple chronic conditions within a single individual-has emerged as a powerful lens through which to understand the growing mismatch between population health needs and health systems historically organised around single diseases. In many lower-income countries, multimorbidity has reinvigorated calls for more integrated and person-centred models of care. Yet responses have often been fragmented and incremental, remaining tethered to the vertical programmes and disease-specific architectures they seek to overcome. The recent disruption of USAID funding represents a critical juncture for health systems that have long relied on externally funded programmes. While the immediate consequences for service delivery are substantial, this moment also presents an opportunity to move beyond piecemeal integration towards more fundamental health system transformation. Realising this opportunity will require greater emphasis on locally led adaptation, recognising that multimorbidity is experienced and managed within highly contextual social, organisational and epidemiological realities. Learning health systems offer a promising conceptual horizon for this transition by providing a framework through which health systems can continuously generate, interpret and act upon knowledge in response to changing needs. The challenge ahead is not simply sustaining services, but building more integrated, adaptive and person-centred systems capable of responding to shifting realities of multimorbidity.

Indexed as

global healthintegrationlearning health systemslocalisationmultimorbidityself-reliance

Identifiers

PMID42491175
PMCPMC13376497

What OpenQuestion holds

Textmetadata
LicenceCC BY
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 OpenQuestion graph.