Evidence map›Paper›PMID 31574133›Full record

ArticlePloS one2019

Costs and cost-effectiveness analyses of mCARE strategies for promoting care seeking of maternal and newborn health services in rural Bangladesh.

Youngji Jo, Amnesty E LeFevre, Katherine Healy, Neelu Singh, Kelsey Alland, Sucheta Mehra, Hasmot Ali, Saijuddin Shaikh, Rezawanul Haque, Parul Christian and 1 more

Abstract read
In one paragraph

Article in PloS one, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 4 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

13 citing papers in PubMed, 4 syntheses or guidelines pooled it.

  1. 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

11 authors.

Youngji JoBloomberg School of Public Health, Johns Hopkins University, Baltimore, Maryland, United States of America.ORCID 0000-0002-1440-2786
Amnesty E LeFevreBloomberg School of Public Health, Johns Hopkins University, Baltimore, Maryland, United States of America.
Katherine HealyBloomberg School of Public Health, Johns Hopkins University, Baltimore, Maryland, United States of America.
Neelu SinghBloomberg School of Public Health, Johns Hopkins University, Baltimore, Maryland, United States of America.
Kelsey AllandBloomberg School of Public Health, Johns Hopkins University, Baltimore, Maryland, United States of America.
Sucheta MehraBloomberg School of Public Health, Johns Hopkins University, Baltimore, Maryland, United States of America.
Hasmot AliJiVitA Program, Johns Hopkins University, Gaibandha, Bangladesh.
Saijuddin ShaikhJiVitA Program, Johns Hopkins University, Gaibandha, Bangladesh.
Rezawanul HaqueJiVitA Program, Johns Hopkins University, Gaibandha, Bangladesh.
Parul ChristianBloomberg School of Public Health, Johns Hopkins University, Baltimore, Maryland, United States of America.
Alain B LabriqueBloomberg School of Public Health, Johns Hopkins University, Baltimore, Maryland, United States of America.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveWe examined the incremental cost-effectiveness between two mHealth programs, implemented from 2011 to 2015 in rural Bangladesh: (1) Comprehensive mCARE package as an intervention group and (2) Basic mCARE package as a control group.

methodsBoth programs included a core package of census enumeration and pregnancy surveillance provided by an established cadre of digitally enabled community health workers (CHWs). In the comprehensive mCARE package, short message service (SMS) and home visit reminders were additionally sent to pregnant women (n = 610) and CHWs (n = 70) to promote the pregnant women's care-seeking of essential maternal and newborn care services. Economic costs were assessed from a program perspective inclusive of development, start-up, and implementation phases. Effects were calculated as disability adjusted life years (DALYs) and the number of newborn deaths averted. For comparative purposes, we normalized our evaluation to estimate total costs and total newborn deaths averted per 1 million people in a community for both groups. Uncertainty was assessed using probabilistic sensitivity analyses with Monte Carlo simulation.

resultsThe addition of SMS and home visit reminders based on a mobile phone-facilitated pregnancy surveillance system was highly cost effective at a cost per DALY averted of $31 (95% uncertainty range: $19-81). The comprehensive mCARE program had at least 88% probability of being highly cost-effective as compared to the basic mCARE program based on the threshold of Bangladesh's GDP per capita.

conclusionmHealth strategies such as SMS and home visit reminders on a well-established pregnancy surveillance system may improve service utilization and program cost-effectiveness in low-resource settings.

Indexed as

Cost-Benefit AnalysisAdolescentAdultBangladeshDelivery of Health CareFemaleHealth ServicesHouse CallsHumansInfant HealthInfant, NewbornMiddle AgedPatient Acceptance of Health CarePostnatal CarePregnancyRural Population

Identifiers

PMID31574133
PMCPMC6773420

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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.