{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["Jo Y"],"funding":["UBS Optimus Foundation"],"pagination":["e042553"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC8021757"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["11(4)"],"pubmed_abstract":["<h4>Objective</h4>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.<h4>Interventions</h4>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.<h4>Study design</h4>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.<h4>Major outcomes</h4>For this modelling study,"],"journal":["BMJ open"],"pubmed_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."],"pmcid":["PMC8021757"],"funding_grant_id":["11053414"],"pubmed_authors":["Ali H","Alland K","Shaikh S","LeFevre AE","Labrique AB","Mehra S","Jo Y","Chowdhury M","Haque R","Pak ES"],"additional_accession":[]},"is_claimable":false,"name":"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.","description":"<h4>Objective</h4>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.<h4>Interventions</h4>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.<h4>Study design</h4>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.<h4>Major outcomes</h4>For this modelling study,","dates":{"release":"2021-01-01T00:00:00Z","publication":"2021 Apr","modification":"2026-05-09T07:30:57.163Z","creation":"2022-02-09T15:04:50.967Z"},"accession":"S-EPMC8021757","cross_references":{"pubmed":["33795294"],"doi":["10.1136/bmjopen-2020-042553"]}}