Evidence map›Paper›PMID 26141724›Full record

ArticleBMC health services research2015

Protocol for the evaluation of a free health insurance card scheme for poor pregnant women in Mbeya region in Tanzania: a controlled-before and after study.

Josephine Borghi, Kate Ramsey, August Kuwawenaruwa, Jitihada Baraka, Edith Patouillard, Ben Bellows, Peter Binyaruka, Fatuma Manzi

Open access · goldAbstract read
In one paragraph

Article in BMC health services research, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
2.9field-weighted citation impact, top 9% of its field
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

8 citing papers in PubMed, 15 citations in OpenAlex.

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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

8 authors at 3 institutions in 4 countries.

Josephine BorghiIfakara Health Institute, Kiko Avenue, Dar es Salaam, Tanzania. jo.borghi@lshtm.ac.uk.
Kate RamseyColumbia University, Mailman School of Public Health, New York, NY, USA.
August KuwawenaruwaIfakara Health Institute, Kiko Avenue, Dar es Salaam, Tanzania.
Jitihada BarakaIfakara Health Institute, Kiko Avenue, Dar es Salaam, Tanzania.
Edith PatouillardIfakara Health Institute, Kiko Avenue, Dar es Salaam, Tanzania.
Ben BellowsPopulation Council, Nairobi, Kenya.
Peter BinyarukaIfakara Health Institute, Kiko Avenue, Dar es Salaam, Tanzania.
Fatuma ManziIfakara Health Institute, Kiko Avenue, Dar es Salaam, Tanzania.
Ifakara Health Institute · TZBritish Council · KEColumbia University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe use of demand-side financing mechanisms to increase health service utilisation among target groups and enhance service quality is gaining momentum in many low- and middle-income countries. However, there is limited evidence on the effects of such schemes on equity, financial protection, quality of care, and cost-effectiveness. A scheme providing free health insurance cards to poor pregnant women and their households was first introduced in two regions of Tanzania in 2011 and gradually expanded in 2012.

methodsA controlled before and after study will examine in one district the effect of the scheme on utilization, quality, and cost of healthcare services accessed by poor pregnant women and their households in Tanzania. Data will be collected 4 months before implementation of the scheme and 17 months after the start of implementation from a survey of 24 health facilities, 288 patients exiting consultations and 1500 households of women who delivered in the previous year in one intervention district (Mbarali). 288 observations of provider-client interactions will also be carried out. The same data will be collected from a comparison district in a nearby region. A process evaluation will ascertain how the scheme is implemented in practice and the level of implementation fidelity and potential moderators. The process evaluation will draw from impact evaluation data and from three rounds of data collection at the national, regional, district, facility and community levels. An economic evaluation will measure the cost-effectiveness of the scheme relative to current practice from a societal perspective. DISCUSSION: This evaluation will generate evidence on the impact and cost-effectiveness of targeted health insurance for pregnant women in a low income setting, as well as building a better understanding of the implementation process and challenges for programs of this nature.

Indexed as

Insurance, HealthPovertyAdolescentAdultControlled Before-After StudiesCost-Benefit AnalysisFemaleFinancing, GovernmentHumansInsurance CoverageMiddle AgedPregnancyProgram EvaluationTanzaniaYoung Adult

Identifiers

PMID26141724
PMCPMC4490646
OpenAlexW2136000401

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.