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