Evidence map›Paper›PMID 32303249›Full record

ArticleHealth research policy and systems2020

The role of contextualisation in enhancing non-communicable disease programmes and policy implementation to achieve health for all.

Hueiming Liu, Mark D Huffman, Kathy Trieu

Abstract readLetter
In one paragraph

Article in Health research policy and systems, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

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

  1. Pooled it
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. 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.

Hueiming LiuThe George Institute for Global Health, University of New South Wales, Sydney, NSW, Australia. hliu@georgeinstitute.org.au.
Mark D HuffmanThe George Institute for Global Health, University of New South Wales, Sydney, NSW, Australia.
Kathy TrieuThe George Institute for Global Health, University of New South Wales, Sydney, NSW, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The September 2019 United Nations' High-Level Meeting renewed political commitments to invest in universal health coverage by strengthening health systems, programmes and policies to achieve 'health for all'. This Political Declaration is relevant to addressing the increasing global burden of non-communicable diseases, but how can evidence-based programmes and policies be meaningfully implemented and integrated into local contexts? In this Commentary, we describe how the process of contextualisation and associated tools, such as ecological frameworks, implementation research frameworks, health system indicators, effective system strengthening strategies and evidence mapping databases with priority-setting, can enhance the implementation and integration of non-communicable disease prevention and control policies and programmes. Examples across health platforms include (1) population approaches to reducing excess sodium intake, (2) fixed-dose combination therapy for cardiovascular disease prevention and control, and (3) health systems strengthening for improving the quality and safety of cardiovascular care. Contextualisation is needed to transfer evidence into locally relevant and impactful policies and programmes. The systematic and comprehensive use of contextualisation tools leverages key implementation research principles to achieve 'health for all'.

Indexed as

Delivery of Health CareGovernment ProgramsHealthHealth PolicyHumansNoncommunicable DiseasesPolicy Makingcontextfixed dose combinationhealth systemsNon-communicable diseasepolicy analysissodium reduction

Identifiers

PMID32303249
PMCPMC7164194

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.