Evidence map›Paper›PMID 27591204›Full record

ArticleHealth policy and planning2016

District decision-making for health in low-income settings: a feasibility study of a data-informed platform for health in India, Nigeria and Ethiopia.

Bilal Iqbal Avan, Della Berhanu, Nasir Umar, Deepthi Wickremasinghe, Joanna Schellenberg

Registry-linked trialAbstract read
In one paragraph

Article in Health policy and planning, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05310682 (Data-Informed Platform for Health), which is not on this map. Cited by 25 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed, 2 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.

NCT05310682 naunknown statusnot on this mapstarted 2020, after this paper: background citation

Data-Informed Platform for Health (DIPH)

TypeinterventionalSponsorLondon School of Hygiene and Tropical MedicineRan2020 to 2022Enrolled24ConditionsBehaviorArmsData informed Platfrom for health
3 · Its place in the literature

Who cites it

25 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
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  11. Priority setting in cardiovascular research in Iran using standard indigenous methods.Journal of research in medical sciences : the official journal of Isfahan University of Medical Sciences · 2022
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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

5 authors.

Bilal Iqbal AvanIDEAS Project, London School of Hygiene & Tropical Medicine (LSHTM), UK bilal.avan@lshtm.ac.uk.
Della BerhanuIDEAS Project, London School of Hygiene & Tropical Medicine (LSHTM), UK.
Nasir UmarIDEAS Project, London School of Hygiene & Tropical Medicine (LSHTM), UK.
Deepthi WickremasingheIDEAS Project, London School of Hygiene & Tropical Medicine (LSHTM), UK.
Joanna SchellenbergIDEAS Project, London School of Hygiene & Tropical Medicine (LSHTM), UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Low-resource settings often have limited use of local data for health system planning and decision-making. To promote local data use for decision-making and priority setting, we propose an adapted framework: a data-informed platform for health (DIPH) aimed at guiding coordination, bringing together key data from the public and private sectors on inputs and processes. In working to transform this framework from a concept to a health systems initiative, we undertook a series of implementation research activities including background assessment, testing and scaling up of the intervention. This first paper of four reports the feasibility of the approach in a district health systems context in five districts of India, Nigeria and Ethiopia. We selected five districts using predefined criteria and in collaboration with governments. After scoping visits, an in-depth field visit included interviews with key health stakeholders, focus group discussions with service-delivery staff and record review. For analysis, we used five dimensions of feasibility research based on the TELOS framework: technology and systems, economic, legal and political, operational and scheduling feasibility. We found no standardized process for data-based district level decision-making, and substantial obstacles in all three countries. Compared with study areas in Ethiopia and Nigeria, the health system in Uttar Pradesh is relatively amenable to the DIPH, having relative strengths in infrastructure, technological and technical expertise, and financial resources, as well as a district-level stakeholder forum. However, a key challenge is the absence of an effective legal framework for engagement with India's extensive private health sector. While priority-setting may depend on factors beyond better use of local data, we conclude that a formative phase of intervention development and pilot-testing is warranted as a next step.

Indexed as

Decision MakingDelivery of Health CareDeveloping CountriesEthiopiaFeasibility StudiesFocus GroupsHealth PolicyHealth PrioritiesHealth ResourcesHumansIndiaNigeriaPovertyDecision-makingdeveloping countriesframeworkhealth system

Identifiers

PMID27591204
PMCPMC5009223

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Registered trials

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.