Evidence map›Paper›PMID 25220577›Full record

ArticleBMC women's health2014

Development of the community midwifery education initiative and its influence on women's health and empowerment in Afghanistan: a case study.

Elizabeth M Speakman, Ahmad Shafi, Egbert Sondorp, Nooria Atta, Natasha Howard

Abstract read
In one paragraph

Article in BMC women's health, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 2 pooled it
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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

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

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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.

Elizabeth M SpeakmanFaculty of Public Health and Policy, London School of Hygiene and Tropical Medicine (LSHTM), Tavistock Place, London, UK. elizabeth.speakman@lshtm.ac.uk.
Ahmad Shafi
Egbert Sondorp
Nooria Atta
Natasha Howard

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPolitical transition in Afghanistan enabled reconstruction of the destroyed health system. Maternal health was prioritised due to political will and historically high mortality. However, severe shortages of skilled birth attendants--particularly in rural areas--hampered safe motherhood initiatives. The Community Midwifery Education (CME) programme began training rural midwives in 2002, scaling-up nationally in 2005.

methodsThis case study analyses CME development and implementation to help determine successes and challenges. Data were collected through documentary review and key informant interviews. Content analysis was informed by Walt and Gilson's policy triangle framework.

resultsThe CME programme has contributed to consistently positive indicators, including up to a 1273/100,000 reduction in maternal mortality ratios, up to a 28% increase in skilled deliveries, and a six-fold increase in qualified midwives since 2002. Begun as a small pilot, CME has gained support of international donors, the Afghan government, and civil society.

conclusionCME is considered by stakeholders to be a positive model for promoting women's education, employment, and health. However, its future is threatened by insecurity, corruption, lack of regulation, and funding uncertainties. Strategic planning and resource mobilisation are required for it to achieve its potential of transforming maternal healthcare in Afghanistan.

Indexed as

Maternal Health ServicesMaternal MortalityPower, PsychologicalProgram DevelopmentWomen's HealthAfghanistanDelivery, ObstetricFemaleHealth WorkforceHumansInfant CareInfant, NewbornMidwiferyPostnatal CarePregnancyPrenatal Care

Identifiers

PMID25220577
PMCPMC4237830

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.