Impact of mHealth interventions for reproductive, maternal, newborn and child health and nutrition at scale: BBC Media Action and the Ananya program in Bihar, India
Mobile health (mHealth) tools have potential for improving the reach and quality of health information and services through community health workers in low- and middle-income countries. This study evaluates the impact of an mHealth tool implemented at scale as part of the statewide reproductive,mate...
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creator | Ward, Victoria C Raheel, Hina Weng, Yingjie Mehta, Kala M Dutt, Priyanka Mitra, Radharani Sastry, Padmapriya Godfrey, Anna Shannon, Melissa Chamberlain, Sara Kaimal, Rajani Carmichael, Suzan L Bentley, Jason Abdalla, Safa Pepper, Kevin T Mahapatra, Tanmay Srikantiah, Sridhar Borkum, Evan Rangarajan, Anu Sridharan, Swetha Rotz, Dana Nanda, Priya Tarigopula, Usha Kiran Atmavilas, Yamini Bhattacharya, Debarshi Darmstadt, Gary L |
description | Mobile health (mHealth) tools have potential for improving the reach and quality of health information and services through community health workers in low- and middle-income countries. This study evaluates the impact of an mHealth tool implemented at scale as part of the statewide reproductive,maternal, newborn and child health and nutrition (RMNCHN) program in Bihar, India.
Three survey-based data sets were analysed to compare the health-related knowledge, attitudes and behaviours amongst childbearing women exposed to the Mobile
and Dr. Anita mHealth tools during their visits with frontline workers compared with those who were unexposed.
An evaluation by Mathematica (2014) revealed that exposure to Mobile
and Dr. Anita recordings were associated with significantly higher odds of consuming iron-folic acid tablets (odds ratio (OR) = 2.3, 95% confidence interval (CI) = 1.8-3.1) as well as taking a set of three measures for delivery preparedness (OR = 2.8, 95% CI = 1.9-4.2) and appropriate infant complementary feeding (OR = 1.9, 95% CI = 1.0-3.5). CARE India's Community-based Household Surveys (2012-2017) demonstrated significant improvements in early breastfeeding (OR = 1.64, 95% CI = 1.5-1.78) and exclusive breastfeeding (OR = 1.46, 95% CI = 1.33-1.62) in addition to birth preparedness practices. BBC Media Action's Usage & Engagement Survey (2014) demonstrated a positive association between exposure to Mobile
and Dr. Anita and exclusive breastfeeding (58% exposed vs 43% unexposed,
|
doi_str_mv | 10.7189/jogh.10.0201005 |
format | Article |
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Three survey-based data sets were analysed to compare the health-related knowledge, attitudes and behaviours amongst childbearing women exposed to the Mobile
and Dr. Anita mHealth tools during their visits with frontline workers compared with those who were unexposed.
An evaluation by Mathematica (2014) revealed that exposure to Mobile
and Dr. Anita recordings were associated with significantly higher odds of consuming iron-folic acid tablets (odds ratio (OR) = 2.3, 95% confidence interval (CI) = 1.8-3.1) as well as taking a set of three measures for delivery preparedness (OR = 2.8, 95% CI = 1.9-4.2) and appropriate infant complementary feeding (OR = 1.9, 95% CI = 1.0-3.5). CARE India's Community-based Household Surveys (2012-2017) demonstrated significant improvements in early breastfeeding (OR = 1.64, 95% CI = 1.5-1.78) and exclusive breastfeeding (OR = 1.46, 95% CI = 1.33-1.62) in addition to birth preparedness practices. BBC Media Action's Usage & Engagement Survey (2014) demonstrated a positive association between exposure to Mobile
and Dr. Anita and exclusive breastfeeding (58% exposed vs 43% unexposed,
< 0.01) as well as maternal respondents' trust in their frontline worker.
Significant improvements in RMNCHN-related knowledge and behaviours were observed for Bihari women who were exposed to Mobile
and Dr. Anita. This analysis is unique in its rigorous evaluation across multiple data sets of mHealth interventions implemented at scale. These results can help inform global understanding of how best to use mHealth tools, for whom, and in what contexts.
ClinicalTrials.gov number NCT02726230.</description><identifier>ISSN: 2047-2978</identifier><identifier>EISSN: 2047-2986</identifier><identifier>DOI: 10.7189/jogh.10.0201005</identifier><identifier>PMID: 33425329</identifier><language>eng</language><publisher>Scotland</publisher><subject>Child ; Child Health ; Female ; Health Knowledge, Attitudes, Practice ; Humans ; India ; Infant ; Infant Health ; Infant, Newborn ; Male ; Maternal Health ; Nutritional Status ; Pregnancy ; Reproductive Health ; Telemedicine</subject><ispartof>Journal of global health, 2020-12, Vol.10 (2), p.021005</ispartof><rights>Copyright © 2020 by the Journal of Global Health. All rights reserved.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c1505-f9501d2929cc2969ead226d9235d4b3e79d83ae9031b6ad9634882f4725eef573</citedby><cites>FETCH-LOGICAL-c1505-f9501d2929cc2969ead226d9235d4b3e79d83ae9031b6ad9634882f4725eef573</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,864,27924,27925</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/33425329$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Ward, Victoria C</creatorcontrib><creatorcontrib>Raheel, Hina</creatorcontrib><creatorcontrib>Weng, Yingjie</creatorcontrib><creatorcontrib>Mehta, Kala M</creatorcontrib><creatorcontrib>Dutt, Priyanka</creatorcontrib><creatorcontrib>Mitra, Radharani</creatorcontrib><creatorcontrib>Sastry, Padmapriya</creatorcontrib><creatorcontrib>Godfrey, Anna</creatorcontrib><creatorcontrib>Shannon, Melissa</creatorcontrib><creatorcontrib>Chamberlain, Sara</creatorcontrib><creatorcontrib>Kaimal, Rajani</creatorcontrib><creatorcontrib>Carmichael, Suzan L</creatorcontrib><creatorcontrib>Bentley, Jason</creatorcontrib><creatorcontrib>Abdalla, Safa</creatorcontrib><creatorcontrib>Pepper, Kevin T</creatorcontrib><creatorcontrib>Mahapatra, Tanmay</creatorcontrib><creatorcontrib>Srikantiah, Sridhar</creatorcontrib><creatorcontrib>Borkum, Evan</creatorcontrib><creatorcontrib>Rangarajan, Anu</creatorcontrib><creatorcontrib>Sridharan, Swetha</creatorcontrib><creatorcontrib>Rotz, Dana</creatorcontrib><creatorcontrib>Nanda, Priya</creatorcontrib><creatorcontrib>Tarigopula, Usha Kiran</creatorcontrib><creatorcontrib>Atmavilas, Yamini</creatorcontrib><creatorcontrib>Bhattacharya, Debarshi</creatorcontrib><creatorcontrib>Darmstadt, Gary L</creatorcontrib><creatorcontrib>Ananya Study Group</creatorcontrib><title>Impact of mHealth interventions for reproductive, maternal, newborn and child health and nutrition at scale: BBC Media Action and the Ananya program in Bihar, India</title><title>Journal of global health</title><addtitle>J Glob Health</addtitle><description>Mobile health (mHealth) tools have potential for improving the reach and quality of health information and services through community health workers in low- and middle-income countries. This study evaluates the impact of an mHealth tool implemented at scale as part of the statewide reproductive,maternal, newborn and child health and nutrition (RMNCHN) program in Bihar, India.
Three survey-based data sets were analysed to compare the health-related knowledge, attitudes and behaviours amongst childbearing women exposed to the Mobile
and Dr. Anita mHealth tools during their visits with frontline workers compared with those who were unexposed.
An evaluation by Mathematica (2014) revealed that exposure to Mobile
and Dr. Anita recordings were associated with significantly higher odds of consuming iron-folic acid tablets (odds ratio (OR) = 2.3, 95% confidence interval (CI) = 1.8-3.1) as well as taking a set of three measures for delivery preparedness (OR = 2.8, 95% CI = 1.9-4.2) and appropriate infant complementary feeding (OR = 1.9, 95% CI = 1.0-3.5). CARE India's Community-based Household Surveys (2012-2017) demonstrated significant improvements in early breastfeeding (OR = 1.64, 95% CI = 1.5-1.78) and exclusive breastfeeding (OR = 1.46, 95% CI = 1.33-1.62) in addition to birth preparedness practices. BBC Media Action's Usage & Engagement Survey (2014) demonstrated a positive association between exposure to Mobile
and Dr. Anita and exclusive breastfeeding (58% exposed vs 43% unexposed,
< 0.01) as well as maternal respondents' trust in their frontline worker.
Significant improvements in RMNCHN-related knowledge and behaviours were observed for Bihari women who were exposed to Mobile
and Dr. Anita. This analysis is unique in its rigorous evaluation across multiple data sets of mHealth interventions implemented at scale. These results can help inform global understanding of how best to use mHealth tools, for whom, and in what contexts.
ClinicalTrials.gov number NCT02726230.</description><subject>Child</subject><subject>Child Health</subject><subject>Female</subject><subject>Health Knowledge, Attitudes, Practice</subject><subject>Humans</subject><subject>India</subject><subject>Infant</subject><subject>Infant Health</subject><subject>Infant, Newborn</subject><subject>Male</subject><subject>Maternal Health</subject><subject>Nutritional Status</subject><subject>Pregnancy</subject><subject>Reproductive Health</subject><subject>Telemedicine</subject><issn>2047-2978</issn><issn>2047-2986</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNo9UMluwjAQtapWBVHOvVXzASyOnc29AeqCRNVLe44m9oQEJQ5yAhX_0w9tIihzme29N6PH2KPHZ5EXq_mu3uazruGCe5wHN2wouB9NhYrD22sdxQM2bpod7yLypIjDezaQ0heBFGrIftfVHnULdQbVO2HZ5lDYltyRbFvUtoGsduBo72pz0G1xpAlU2O0tlhOw9JPWzgJaAzovSgP5WaIf2EPril4DsIVGY0nPsFyu4INMgbDQ51UHbHOChUV7QujObB1W3QuwLHJ0E1jbDv3A7jIsGxpf8oh9v758rd6nm8-39WqxmWov4ME0UwH3jFBCaS1UqAiNEKFRQgbGTyVFysQSSXHppSEaFUo_jkXmRyIgyoJIjtj8rKtd3TSOsmTvigrdKfF40lue9Jb3zcXyjvF0ZuwPaUXmiv83WP4ByQF-Cg</recordid><startdate>202012</startdate><enddate>202012</enddate><creator>Ward, Victoria C</creator><creator>Raheel, Hina</creator><creator>Weng, Yingjie</creator><creator>Mehta, Kala M</creator><creator>Dutt, Priyanka</creator><creator>Mitra, Radharani</creator><creator>Sastry, Padmapriya</creator><creator>Godfrey, Anna</creator><creator>Shannon, Melissa</creator><creator>Chamberlain, Sara</creator><creator>Kaimal, Rajani</creator><creator>Carmichael, Suzan L</creator><creator>Bentley, Jason</creator><creator>Abdalla, Safa</creator><creator>Pepper, Kevin T</creator><creator>Mahapatra, Tanmay</creator><creator>Srikantiah, Sridhar</creator><creator>Borkum, Evan</creator><creator>Rangarajan, Anu</creator><creator>Sridharan, Swetha</creator><creator>Rotz, Dana</creator><creator>Nanda, Priya</creator><creator>Tarigopula, Usha Kiran</creator><creator>Atmavilas, Yamini</creator><creator>Bhattacharya, Debarshi</creator><creator>Darmstadt, Gary L</creator><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope></search><sort><creationdate>202012</creationdate><title>Impact of mHealth interventions for reproductive, maternal, newborn and child health and nutrition at scale: BBC Media Action and the Ananya program in Bihar, India</title><author>Ward, Victoria C ; Raheel, Hina ; Weng, Yingjie ; Mehta, Kala M ; Dutt, Priyanka ; Mitra, Radharani ; Sastry, Padmapriya ; Godfrey, Anna ; Shannon, Melissa ; Chamberlain, Sara ; Kaimal, Rajani ; Carmichael, Suzan L ; Bentley, Jason ; Abdalla, Safa ; Pepper, Kevin T ; Mahapatra, Tanmay ; Srikantiah, Sridhar ; Borkum, Evan ; Rangarajan, Anu ; Sridharan, Swetha ; Rotz, Dana ; Nanda, Priya ; Tarigopula, Usha Kiran ; Atmavilas, Yamini ; Bhattacharya, Debarshi ; Darmstadt, Gary L</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c1505-f9501d2929cc2969ead226d9235d4b3e79d83ae9031b6ad9634882f4725eef573</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Child</topic><topic>Child Health</topic><topic>Female</topic><topic>Health Knowledge, Attitudes, Practice</topic><topic>Humans</topic><topic>India</topic><topic>Infant</topic><topic>Infant Health</topic><topic>Infant, Newborn</topic><topic>Male</topic><topic>Maternal Health</topic><topic>Nutritional Status</topic><topic>Pregnancy</topic><topic>Reproductive Health</topic><topic>Telemedicine</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Ward, Victoria C</creatorcontrib><creatorcontrib>Raheel, Hina</creatorcontrib><creatorcontrib>Weng, Yingjie</creatorcontrib><creatorcontrib>Mehta, Kala M</creatorcontrib><creatorcontrib>Dutt, Priyanka</creatorcontrib><creatorcontrib>Mitra, Radharani</creatorcontrib><creatorcontrib>Sastry, Padmapriya</creatorcontrib><creatorcontrib>Godfrey, Anna</creatorcontrib><creatorcontrib>Shannon, Melissa</creatorcontrib><creatorcontrib>Chamberlain, Sara</creatorcontrib><creatorcontrib>Kaimal, Rajani</creatorcontrib><creatorcontrib>Carmichael, Suzan L</creatorcontrib><creatorcontrib>Bentley, Jason</creatorcontrib><creatorcontrib>Abdalla, Safa</creatorcontrib><creatorcontrib>Pepper, Kevin T</creatorcontrib><creatorcontrib>Mahapatra, Tanmay</creatorcontrib><creatorcontrib>Srikantiah, Sridhar</creatorcontrib><creatorcontrib>Borkum, Evan</creatorcontrib><creatorcontrib>Rangarajan, Anu</creatorcontrib><creatorcontrib>Sridharan, Swetha</creatorcontrib><creatorcontrib>Rotz, Dana</creatorcontrib><creatorcontrib>Nanda, Priya</creatorcontrib><creatorcontrib>Tarigopula, Usha Kiran</creatorcontrib><creatorcontrib>Atmavilas, Yamini</creatorcontrib><creatorcontrib>Bhattacharya, Debarshi</creatorcontrib><creatorcontrib>Darmstadt, Gary L</creatorcontrib><creatorcontrib>Ananya Study Group</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><jtitle>Journal of global health</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Ward, Victoria C</au><au>Raheel, Hina</au><au>Weng, Yingjie</au><au>Mehta, Kala M</au><au>Dutt, Priyanka</au><au>Mitra, Radharani</au><au>Sastry, Padmapriya</au><au>Godfrey, Anna</au><au>Shannon, Melissa</au><au>Chamberlain, Sara</au><au>Kaimal, Rajani</au><au>Carmichael, Suzan L</au><au>Bentley, Jason</au><au>Abdalla, Safa</au><au>Pepper, Kevin T</au><au>Mahapatra, Tanmay</au><au>Srikantiah, Sridhar</au><au>Borkum, Evan</au><au>Rangarajan, Anu</au><au>Sridharan, Swetha</au><au>Rotz, Dana</au><au>Nanda, Priya</au><au>Tarigopula, Usha Kiran</au><au>Atmavilas, Yamini</au><au>Bhattacharya, Debarshi</au><au>Darmstadt, Gary L</au><aucorp>Ananya Study Group</aucorp><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Impact of mHealth interventions for reproductive, maternal, newborn and child health and nutrition at scale: BBC Media Action and the Ananya program in Bihar, India</atitle><jtitle>Journal of global health</jtitle><addtitle>J Glob Health</addtitle><date>2020-12</date><risdate>2020</risdate><volume>10</volume><issue>2</issue><spage>021005</spage><pages>021005-</pages><issn>2047-2978</issn><eissn>2047-2986</eissn><abstract>Mobile health (mHealth) tools have potential for improving the reach and quality of health information and services through community health workers in low- and middle-income countries. This study evaluates the impact of an mHealth tool implemented at scale as part of the statewide reproductive,maternal, newborn and child health and nutrition (RMNCHN) program in Bihar, India.
Three survey-based data sets were analysed to compare the health-related knowledge, attitudes and behaviours amongst childbearing women exposed to the Mobile
and Dr. Anita mHealth tools during their visits with frontline workers compared with those who were unexposed.
An evaluation by Mathematica (2014) revealed that exposure to Mobile
and Dr. Anita recordings were associated with significantly higher odds of consuming iron-folic acid tablets (odds ratio (OR) = 2.3, 95% confidence interval (CI) = 1.8-3.1) as well as taking a set of three measures for delivery preparedness (OR = 2.8, 95% CI = 1.9-4.2) and appropriate infant complementary feeding (OR = 1.9, 95% CI = 1.0-3.5). CARE India's Community-based Household Surveys (2012-2017) demonstrated significant improvements in early breastfeeding (OR = 1.64, 95% CI = 1.5-1.78) and exclusive breastfeeding (OR = 1.46, 95% CI = 1.33-1.62) in addition to birth preparedness practices. BBC Media Action's Usage & Engagement Survey (2014) demonstrated a positive association between exposure to Mobile
and Dr. Anita and exclusive breastfeeding (58% exposed vs 43% unexposed,
< 0.01) as well as maternal respondents' trust in their frontline worker.
Significant improvements in RMNCHN-related knowledge and behaviours were observed for Bihari women who were exposed to Mobile
and Dr. Anita. This analysis is unique in its rigorous evaluation across multiple data sets of mHealth interventions implemented at scale. These results can help inform global understanding of how best to use mHealth tools, for whom, and in what contexts.
ClinicalTrials.gov number NCT02726230.</abstract><cop>Scotland</cop><pmid>33425329</pmid><doi>10.7189/jogh.10.0201005</doi><oa>free_for_read</oa></addata></record> |
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source | MEDLINE; DOAJ Directory of Open Access Journals; PubMed Central Open Access; EZB-FREE-00999 freely available EZB journals; PubMed Central |
subjects | Child Child Health Female Health Knowledge, Attitudes, Practice Humans India Infant Infant Health Infant, Newborn Male Maternal Health Nutritional Status Pregnancy Reproductive Health Telemedicine |
title | Impact of mHealth interventions for reproductive, maternal, newborn and child health and nutrition at scale: BBC Media Action and the Ananya program in Bihar, India |
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