Evidence map›Paper›PMID 33795294›Full record

ArticleBMJ open2021

mCARE, a digital health intervention package on pregnancy surveillance and care-seeking reminders from 2018 to 2027 in Bangladesh: a model-based cost-effectiveness analysis.

Youngji Jo, Amnesty Elizabeth LeFevre, Hasmot Ali, Sucheta Mehra, Kelsey Alland, Saijuddin Shaikh, Rezwanul Haque, Esther Semee Pak, Mridul Chowdhury, Alain B Labrique

Abstract read
In one paragraph

Article in BMJ open, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

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

  1. Pooled it
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  5. Review
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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

10 authors.

Youngji JoJohns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA youngji1435@gmail.com.ORCID 0000-0002-1440-2786
Amnesty Elizabeth LeFevreJohns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA.ORCID 0000-0001-8437-7240
Hasmot AliJiVitA program, Johns Hopkins Bloomberg School of Public Health, Rangpur, Bangladesh.
Sucheta MehraJohns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA.
Kelsey AllandJohns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA.ORCID 0000-0001-8464-6308
Saijuddin ShaikhJiVitA program, Johns Hopkins Bloomberg School of Public Health, Rangpur, Bangladesh.
Rezwanul HaqueJiVitA program, Johns Hopkins Bloomberg School of Public Health, Rangpur, Bangladesh.
Esther Semee PakJohns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA.
Mridul ChowdhurymPOWER Social Enterprises, Dhaka, Bangladesh.
Alain B LabriqueJohns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveWe estimated the cost-effectiveness of a digital health intervention package (mCARE) for community health workers, on pregnancy surveillance and care-seeking reminders compared with the existing paper-based status quo, from 2018 to 2027, in Bangladesh.

interventionsThe mCARE programme involved digitally enhanced pregnancy surveillance, individually targeted text messages and in-person home-visit to pregnant women for care-seeking reminders for antenatal care, child delivery and postnatal care. STUDY

designWe developed a model to project population and service coverage increases with annual geographical expansion (from 1 million to 10 million population over 10 years) of the mCARE programme and the status quo. MAJOR OUTCOMES: For this modelling study, we used Lives Saved Tool to estimate the number of deaths and disability-adjusted life years (DALYs) that would be averted by 2027, if the coverage of health interventions was increased in mCARE programme and the status quo, respectively. Economic costs were captured from a societal perspective using an ingredients approach and expressed in 2018 US dollars. Probabilistic sensitivity analysis was undertaken to account for parameter uncertainties.

resultsWe estimated the mCARE programme to avert 3076 deaths by 2027 at an incremental cost of $43 million relative to the status quo, which is translated to $462 per DALY averted. The societal costs were estimated to be $115 million for mCARE programme (48% of which are programme costs, 35% user costs and 17% provider costs). With the continued implementation and geographical scaling-up, the mCARE programme improved its cost-effectiveness from $1152 to $462 per DALY averted from 5 to 10 years.

conclusionMobile phone-based pregnancy surveillance systems with individually scheduled text messages and home-visit reminder strategies can be highly cost-effective in Bangladesh. The cost-effectiveness may improve as it promotes facility-based child delivery and achieves greater programme cost efficiency with programme scale and sustainability.

Indexed as

Delivery of Health CarePatient Acceptance of Health CareBangladeshChildCost-Benefit AnalysisFemaleHealth ServicesHumansPregnancyhealth economicsinformation technologypublic health

Identifiers

PMID33795294
PMCPMC8021757

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LicenceCC BY-NC
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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.