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

Objective We 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.Interventions The mCARE programme invo...

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Main Authors: Amnesty Elizabeth LeFevre, Hasmot Ali, Saijuddin Shaikh, Kelsey Alland, Youngji Jo, Sucheta Mehra, Esther Semee Pak, Mridul Chowdhury
Format: Article
Language:English
Published: BMJ Publishing Group 2021-04-01
Series:BMJ Open
Online Access:https://bmjopen.bmj.com/content/11/4/e042553.full
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spelling doaj-0e6f076ea2514ed9b7f4ea6cdccb49342021-07-23T15:00:10ZengBMJ Publishing GroupBMJ Open2044-60552021-04-0111410.1136/bmjopen-2020-042553mCARE, a digital health intervention package on pregnancy surveillance and care-seeking reminders from 2018 to 2027 in Bangladesh: a model-based cost-effectiveness analysisAmnesty Elizabeth LeFevre0Hasmot Ali1Saijuddin Shaikh2Kelsey Alland3Youngji Jo4Sucheta Mehra5Esther Semee Pak6Mridul Chowdhury71 Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA 2 JiVitA program, Johns Hopkins Bloomberg School of Public Health, Rangpur, Bangladesh 2 JiVitA program, Johns Hopkins Bloomberg School of Public Health, Rangpur, Bangladesh 1 Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA 1 Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA1 Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA1 Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA3 mPOWER Social Enterprises, Dhaka, BangladeshObjective We 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.Interventions The 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 design We 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.Results We 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.Conclusion Mobile 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.https://bmjopen.bmj.com/content/11/4/e042553.full
collection DOAJ
language English
format Article
sources DOAJ
author Amnesty Elizabeth LeFevre
Hasmot Ali
Saijuddin Shaikh
Kelsey Alland
Youngji Jo
Sucheta Mehra
Esther Semee Pak
Mridul Chowdhury
spellingShingle Amnesty Elizabeth LeFevre
Hasmot Ali
Saijuddin Shaikh
Kelsey Alland
Youngji Jo
Sucheta Mehra
Esther Semee Pak
Mridul Chowdhury
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
BMJ Open
author_facet Amnesty Elizabeth LeFevre
Hasmot Ali
Saijuddin Shaikh
Kelsey Alland
Youngji Jo
Sucheta Mehra
Esther Semee Pak
Mridul Chowdhury
author_sort Amnesty Elizabeth LeFevre
title 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
title_short 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
title_full 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
title_fullStr 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
title_full_unstemmed 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
title_sort 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
publisher BMJ Publishing Group
series BMJ Open
issn 2044-6055
publishDate 2021-04-01
description Objective We 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.Interventions The 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 design We 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.Results We 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.Conclusion Mobile 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.
url https://bmjopen.bmj.com/content/11/4/e042553.full
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