Evidence map›Paper›PMID 30534600›Full record

ArticleGlobal health research and policy2018

Delivering reproductive health services through non-state providers in Pakistan: understanding the value for money of different approaches.

Adrian Gheorghe, Rashid Uz Zaman, Molly Scott, Sophie Witter

Abstract read
In one paragraph

Article in Global health research and policy, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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

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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. 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

4 authors.

Adrian Gheorghe1Oxford Policy Management, Level 3 Clarendon House, 52 Cornmarket St, Oxford, OX1 3HJ UK.ORCID 0000-0002-0517-8807
Rashid Uz Zaman1Oxford Policy Management, Level 3 Clarendon House, 52 Cornmarket St, Oxford, OX1 3HJ UK.
Molly Scott1Oxford Policy Management, Level 3 Clarendon House, 52 Cornmarket St, Oxford, OX1 3HJ UK.
Sophie Witter2Institute for Global Health and Development, Queen Margaret University, Edinburgh, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDelivering Reproductive Health Results(DRHR) programme used social franchising (SF) and social marketing (SM) approaches to increase the supply of high quality family planning services in underserved areas of Pakistan. We assessed the costs, cost-efficiency and cost-effectiveness of DRHR to understand the value for money of these approaches.

methodsFinancial and economic programme costs were calculated. Costs to individual users were captured in a pre-post survey. The cost per couple years of protection (CYP) and cost per new user were estimated as indicators of cost efficiency. For the cost-effectiveness analysis we estimated the cost per clinical outcome averted and the cost per disability-adjusted life year (DALY) averted.

resultsApproximately £20 million were spent through the DRHR programme between July 2012 and September 2015 on commodities and services representing nearly four million CYPs. Based on programme data, the cumulative cost-efficiency of the entire DRHR programme was £4.8 per CYP. DRHR activities would avert one DALY at the cost of £20. Financial access indicators generally improved in programme areas, but the magnitude of progress varies across indicators.

conclusionsThe SF and SM approaches adopted in DRHR appear to be cost effective relative to comparable reproductive health programmes. This paper adds to the limited evidence on the cost-effectiveness of different models of reproductive health care provision in low- and middle-income settings. Further studies are needed to nuance the understanding of the determinants of impact and value for money of SF and SM.

Indexed as

Non-state providersPakistanReproductive healthSocial franchising (SF)Social marketing (SM)Value for money

Identifiers

PMID30534600
PMCPMC6278166

What OpenQuestion holds

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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.