Evidence map›Paper›PMID 39398100›Full record

ArticleGlobal heart2024

Rethinking Scale-Up of Rehabilitation for Chronic Disease in Low-Resource Settings: Embracing Complexity for Contextual Impact.

Martin Heine, Wayne Derman, Susan Hanekom

Abstract read
In one paragraph

Article in Global heart, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
–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

2 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. 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

3 authors.

Martin HeineJulius Global Health, Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands.ORCID 0000-0003-4131-2863
Wayne DermanFaculty of Medicine and Health Sciences, Institute of Sport and Exercise Medicine, Stellenbosch University, Cape Town, South Africa.ORCID 0000-0002-8879-177X
Susan HanekomFaculty of Medicine and Health Sciences, Division of Physiotherapy, Stellenbosch University, Cape Town, South Africa.ORCID 0000-0001-5227-9881

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

As the burden of chronic disease and multiple long-term conditions is increasing globally, disproportionally affecting those in low-resourced settings, there is an increasing call to action to scale effective models of care that can assist in mitigating the impact of chronic disease on functioning, activity, societal participation, and health-related quality of life. The aim of this paper is to unpack the contextual factors that have been implicitly and explicitly voiced by researchers reporting on rehabilitation interventions used to manage chronic disease in low-resourced settings. We systematically engaged the literature and applied a reflexive qualitative and systems thinking lens to unpack the contextual factors and their interplay. A total of 40 different contextual factors were derived through an iterative analysis of 144 eligible articles. The identified factors could be packaged into nine system elements or subsystems relevant to the scale-up of rehabilitation for people with chronic disease. The complexity identified encourages a focus on innovative and intersectoral approaches to address the rehabilitation needs in low-resourced settings.

Indexed as

Quality of LifeChronic DiseaseDeveloping CountriesHealth ResourcesHumansHealth Services AccessibilityLow-Resourced SettingsNon-Communicable DiseaseRehabilitationScale-up

Identifiers

PMID39398100
PMCPMC11468242

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.