Evidence map›Paper›PMID 40051537›Full record

ArticleBMJ public health2025

Scaling up structured lifestyle interventions to improve the management of cardiometabolic diseases in low-income and middle-income countries: a systematic review of strategies, methods and outcomes.

Abha Shrestha, Lu Yang, Getu Debalkie Demissie, Rolina Dhital, Jeemon Panniyammakal, Ganeshkumar Parasuraman, Sabrina Gupta, Biraj Karmacharya, Kavumpurathu R Thankappan, Brian Oldenburg and 1 more

Abstract read
In one paragraph

Article in BMJ public health, 2025. 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

11 authors.

Abha ShresthaLa Trobe University, Melbourne, Victoria, Australia.ORCID 0000-0002-7992-7137
Lu YangLa Trobe University, Melbourne, Victoria, Australia.
Getu Debalkie DemissieLa Trobe University, Melbourne, Victoria, Australia.ORCID 0000-0002-6781-2260
Rolina DhitalHealth Action and Research Pvt Ltd, Kathmandu, Nepal.
Jeemon PanniyammakalLa Trobe University, Melbourne, Victoria, Australia.
Ganeshkumar ParasuramanIndian Council of Medical Research, Chennai, India.
Sabrina GuptaLa Trobe University, Melbourne, Victoria, Australia.ORCID 0000-0002-3793-1584
Biraj KarmacharyaKathmandu University School of Medical Sciences, Kathmandu, Nepal.
Kavumpurathu R ThankappanAmrita Institute of Medical Sciences, Kochi, India.
Brian OldenburgLa Trobe University, Melbourne, Victoria, Australia.
Tilahun HareguLa Trobe University, Melbourne, Victoria, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Cardiometabolic diseases (CMDs), the leading causes of death in low-income and middle-income countries (LMICs), are proven to be mitigated through structured lifestyle interventions (SLIs-dietary changes, physical activity, tobacco cessation and alcohol intake), but the challenge lies in scaling them up in LMICs. Therefore, we undertook a systematic review to identify the strategies, methods and outcomes used in scaling up SLI programmes to improve cardiometabolic outcomes in LMICs. Methods: We searched studies implementing scale-up strategies (delivery approaches enhancing an intervention's adoption, implementation and sustainability), methods (theories, models and frameworks) and present outcomes (feasibility, fidelity, etc) following the Proctor E framework. We searched six databases to identify studies published in English with no time restriction, guided by the Setting, Perspective, Intervention, Comparison and Evaluation framework. Quality assessment was performed using the Cochrane risk-of-bias, National Institutes of Health and Joanna Briggs Institute tools. Given the heterogeneity of the outcome measures, we conducted a narrative synthesis of the extracted information. Results: Out of the 26 studies included, 18 (69%) adapted SLI interventions to suit local contexts. Strategies such as system integration, strengthening facility services and training led to up to 100% attendance of participants. Notably, only four studies (15%) used theories, models and frameworks for the full scale-up process, which is crucial for large-scale implementation in resource-limited settings. 15 (58%) studies reported the feasibility of scale-up, whereas 7 (27%) reported no significant differences in lifestyle behaviours or CMD biomarkers. Conclusions: Early community and local stakeholders' engagement is crucial for codeveloping strategies for the scale-up of SLIs. Conducting readiness assessments and system integration are all essential considerations for improving scale-up outcomes. Additionally, we strongly recommend using suitable frameworks to guide the scale-up of SLIs to maximise the benefit for the population.

Indexed as

Cardiovascular DiseasesCommunity HealthTranslational Science, Biomedical

Identifiers

PMID40051537
PMCPMC11883891

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.