Evidence map›Paper›PMID 40820997›Full record

ArticleBMJ public health2025

Factors influencing non-communicable disease policy process in Sub-Saharan Africa: a scoping review.

Enny Brouns, Chanelle Mulopo, Solange Mianda, Joy Mauti, Shannon McMahon, Connie Hoe, Bey-Marrie Schmidt

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 1 paper, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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

7 authors.

Enny BrounsHeidelberg Institute of Global Health, Ruprecht-Karls-Universität Heidelberg, Heidelberg, Germany.ORCID https://orcid.org/0009-0002-5425-2775
Chanelle MulopoSchool of Public Health, University of the Western Cape, Cape Town, South Africa.ORCID https://orcid.org/0000-0001-6412-3200
Solange MiandaSchool of Public Health, University of the Western Cape, Bellville, South Africa.ORCID https://orcid.org/0000-0002-4353-3929
Joy MautiHeidelberg Institute of Global Health, Ruprecht-Karls-Universität Heidelberg, Heidelberg, Germany.
Shannon McMahonInstitute of Public Health, Ruprecht Karls Universitat Heidelberg, Heidelberg, Germany.ORCID https://orcid.org/0000-0002-8634-9283
Connie HoeHeidelberg Institute of Global Health, Ruprecht-Karls-Universität Heidelberg, Heidelberg, Germany.ORCID https://orcid.org/0000-0001-8008-4010
Bey-Marrie SchmidtSchool of Public Health, University of the Western Cape, Bellville, South Africa.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

abstractIntroduction: Non-communicable diseases (NCDs) have been the leading global cause of death for two decades, with a disproportionate impact on low- and middle-income countries. Despite the development of technical packages such as the WHO Best Buys, the adoption and implementation of NCD policies pose significant challenges. This scoping review explores the factors influencing the NCD policy process, including agenda setting, formulation, adoption, implementation and evaluation stages. Methods: This scoping review followed the methodological framework provided by Levac Results: The search yielded 7538 records, after screening for title, abstract and full text, 35 articles met the inclusion criteria for this review. Six different types of policy actors were identified, namely, (i) government, (ii) private sector, (iii) advocates, (iv) experts, (v) international partners, (vi) experts and (vii) general public. Policy actors used lobbying tactics to influence how the policy process was executed; however, it was unclear how the process of influence took place. We identified six barriers of the NCD policy process: (i) limited access to resources, (ii) limited reliable local data, (iii) role of the government, (iv) limited multisectoral collaboration, (v) limited infrastructure, (vi) knowledge and belief. Six facilitators of the NCD policy process were identified: (i) multisectoral approach, (ii) sufficient capacity and financial resources, (iii) access to reliable local evidence, (iv) strong advocacy, (v) existing infrastructures, and (vi) political will were reported. Conclusion: Findings from this review revealed a knowledge gap in understanding of the tactics used by actors to influence the policy process and the absence of evidence related to the evaluation of NCD policies in Sub-Saharan Africa.

Indexed as

Cardiovascular DiseasesPublic HealthSystematic Review

Identifiers

PMID40820997
PMCPMC12352196

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.