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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 i...

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Autores principales: Jo, Youngji, LeFevre, Amnesty Elizabeth, Ali, Hasmot, Mehra, Sucheta, Alland, Kelsey, Shaikh, Saijuddin, Haque, Rezwanul, Pak, Esther Semee, Chowdhury, Mridul, Labrique, Alain B
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8021757/
https://www.ncbi.nlm.nih.gov/pubmed/33795294
http://dx.doi.org/10.1136/bmjopen-2020-042553
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author Jo, Youngji
LeFevre, Amnesty Elizabeth
Ali, Hasmot
Mehra, Sucheta
Alland, Kelsey
Shaikh, Saijuddin
Haque, Rezwanul
Pak, Esther Semee
Chowdhury, Mridul
Labrique, Alain B
author_facet Jo, Youngji
LeFevre, Amnesty Elizabeth
Ali, Hasmot
Mehra, Sucheta
Alland, Kelsey
Shaikh, Saijuddin
Haque, Rezwanul
Pak, Esther Semee
Chowdhury, Mridul
Labrique, Alain B
author_sort Jo, Youngji
collection PubMed
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.
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spelling pubmed-80217572021-04-21 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 Jo, Youngji LeFevre, Amnesty Elizabeth Ali, Hasmot Mehra, Sucheta Alland, Kelsey Shaikh, Saijuddin Haque, Rezwanul Pak, Esther Semee Chowdhury, Mridul Labrique, Alain B BMJ Open Health Economics 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. BMJ Publishing Group 2021-04-01 /pmc/articles/PMC8021757/ /pubmed/33795294 http://dx.doi.org/10.1136/bmjopen-2020-042553 Text en © Author(s) (or their employer(s)) 2021. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. http://creativecommons.org/licenses/by-nc/4.0/ http://creativecommons.org/licenses/by-nc/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/.
spellingShingle Health Economics
Jo, Youngji
LeFevre, Amnesty Elizabeth
Ali, Hasmot
Mehra, Sucheta
Alland, Kelsey
Shaikh, Saijuddin
Haque, Rezwanul
Pak, Esther Semee
Chowdhury, Mridul
Labrique, Alain B
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 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_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_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
topic Health Economics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8021757/
https://www.ncbi.nlm.nih.gov/pubmed/33795294
http://dx.doi.org/10.1136/bmjopen-2020-042553
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