{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,19]],"date-time":"2026-08-19T18:24:12Z","timestamp":1787163852637,"version":"build-2736575974"},"reference-count":70,"publisher":"Oxford University Press (OUP)","issue":"1","license":[{"start":{"date-parts":[[2024,3,7]],"date-time":"2024-03-07T00:00:00Z","timestamp":1709769600000},"content-version":"vor","delay-in-days":63,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/100000092","name":"National Library of Medicine","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100000092","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000002","name":"National Institutes of Health","doi-asserted-by":"publisher","award":["1R01LM012974-01A1"],"award-info":[{"award-number":["1R01LM012974-01A1"]}],"id":[{"id":"10.13039\/100000002","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000002","name":"National Institutes of Health","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100000002","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2024,1,4]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:sec>\n                    <jats:title>Objective<\/jats:title>\n                    <jats:p>High-risk pregnancy (HRP) conditions such as gestational diabetes mellitus (GDM), hypertension (HTN), and peripartum depression (PPD) affect maternal and neonatal health. Patient engagement is critical for effective HRP management (HRPM). While digital technologies and analytics hold promise, emerging research indicates limited and suboptimal support offered by the highly prevalent pregnancy digital solutions within the commercial marketplace. In this article, we describe our efforts to develop a portfolio of digital products leveraging advances in social computing, data science, and digital health.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>We describe three studies that leverage core methods from Digilego digital health development framework to (1) conduct large-scale social media analysis (n\u2009=\u200955\u2009301 posts) to understand population-level patterns in women\u2019s needs, (2) architect a digital repository to enable women curate HRP related information, and (3) develop a digital platform to support PPD prevention. We applied a combination of qualitative coding, machine learning, theory-mapping, and programmatic implementation of theory-linked digital features. Further, we conducted preliminary testing of the resulting products for acceptance with sample of pregnant women for GDM\/HTN information management (n\u2009=\u200910) and PPD prevention (n\u2009=\u200930).<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>Scalable social computing models using deep learning classifiers with reasonable accuracy have allowed us to capture and examine psychosociobehavioral drivers associated with HRPM. Our work resulted in two digital health solutions, MyPregnancyChart and MomMind are developed. Initial evaluation of both tools indicates positive acceptance from potential end users. Further evaluation with MomMind revealed statistically significant improvements (P\u2009&amp;lt;\u2009.05) in PPD recognition and knowledge on how to seek PPD information.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Discussion<\/jats:title>\n                    <jats:p>Digilego framework provides an integrative methodological lens to gain micro-macro perspective on women\u2019s needs, theory integration, engagement optimization, as well as subsequent feature and content engineering, which can be organized into core and specialized digital pathways for women engagement in disease management.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion<\/jats:title>\n                    <jats:p>Future works should focus on implementation and testing of digital solutions that facilitate women to capture, aggregate, preserve, and utilize, otherwise siloed, prenatal information artifacts for enhanced self-management of their high-risk conditions, ultimately leading to improved health outcomes.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1093\/jamiaopen\/ooae022","type":"journal-article","created":{"date-parts":[[2024,2,22]],"date-time":"2024-02-22T17:52:23Z","timestamp":1708624343000},"source":"Crossref","is-referenced-by-count":7,"title":["Digital health technologies for high-risk pregnancy management: three case studies using Digilego framework"],"prefix":"10.1093","volume":"7","author":[{"given":"Sahiti","family":"Myneni","sequence":"first","affiliation":[{"name":"Department of Clinical and Health Informatics at McWilliams School of Biomedical Informatics, The University of Texas Health Science Center at Houston , Houston, TX 77030, United States"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Alexandra","family":"Zingg","sequence":"additional","affiliation":[{"name":"Department of Clinical and Health Informatics at McWilliams School of Biomedical Informatics, The University of Texas Health Science Center at Houston , Houston, TX 77030, United States"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Tavleen","family":"Singh","sequence":"additional","affiliation":[{"name":"Department of Clinical and Health Informatics at McWilliams School of Biomedical Informatics, The University of Texas Health Science Center at Houston , Houston, TX 77030, United States"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3953-2314","authenticated-orcid":false,"given":"Angela","family":"Ross","sequence":"additional","affiliation":[{"name":"Department of Clinical and Health Informatics at McWilliams School of Biomedical Informatics, The University of Texas Health Science Center at Houston , Houston, TX 77030, United States"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Amy","family":"Franklin","sequence":"additional","affiliation":[{"name":"Department of Clinical and Health Informatics at McWilliams School of Biomedical Informatics, The University of Texas Health Science Center at Houston , Houston, TX 77030, United States"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Deevakar","family":"Rogith","sequence":"additional","affiliation":[{"name":"Department of Clinical and Health Informatics at McWilliams School of Biomedical Informatics, The University of Texas Health Science Center at Houston , Houston, TX 77030, United States"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jerrie","family":"Refuerzo","sequence":"additional","affiliation":[{"name":"Department of Obstetrics, Gynecology, and Reproductive Sciences at McGovern Medical School, The University of Texas Health Science Center at Houston , Houston, TX 77030, United States"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"286","published-online":{"date-parts":[[2024,3,7]]},"reference":[{"key":"2024030720484005500_ooae022-B1","author":"World Health Organization","year":"2015"},{"issue":"1","key":"2024030720484005500_ooae022-B2","doi-asserted-by":"crossref","first-page":"010406","DOI":"10.7189\/jogh.07.010406","article-title":"Maternal mortality as a millennium development goal of the United Nations: a systematic assessment and analysis of available data in threshold countries using Indonesia as example","volume":"7","author":"Reinke","year":"2017","journal-title":"J Glob Health"},{"issue":"3","key":"2024030720484005500_ooae022-B3","doi-asserted-by":"crossref","first-page":"34","DOI":"10.1624\/105812406X119002","article-title":"Postpartum maternal health care in the United States: a critical review","volume":"15","author":"Cheng","year":"2006","journal-title":"J Perinat Educ"},{"issue":"10","key":"2024030720484005500_ooae022-B4","doi-asserted-by":"crossref","first-page":"e561","DOI":"10.1542\/neo.20-10-e561","article-title":"Maternal mortality in the United States: updates on trends, causes, and solutions","volume":"20","author":"Collier","year":"2019","journal-title":"Neoreviews"},{"issue":"1","key":"2024030720484005500_ooae022-B5","doi-asserted-by":"crossref","first-page":"10","DOI":"10.1097\/AOG.0000000000004821","article-title":"Perspectives from advancing National Institutes of Health research to inform and improve the health of women: a conference summary","volume":"140","author":"Temkin","year":"2022","journal-title":"Obstet Gynecol"},{"issue":"20","key":"2024030720484005500_ooae022-B6","doi-asserted-by":"crossref","first-page":"2516","DOI":"10.1001\/jama.286.20.2516","article-title":"Gestational diabetes mellitus","volume":"286","author":"Jovanovic","year":"2001","journal-title":"JAMA"},{"issue":"5","key":"2024030720484005500_ooae022-B7","doi-asserted-by":"crossref","first-page":"899","DOI":"10.2337\/dc07-2345","article-title":"Trends in the prevalence of preexisting diabetes and gestational diabetes mellitus among a racially\/ethnically diverse population of pregnant women, 1999\u20132005","volume":"31","author":"Lawrence","year":"2008","journal-title":"Diabetes Care"},{"issue":"2","key":"2024030720484005500_ooae022-B8","doi-asserted-by":"crossref","first-page":"e49","DOI":"10.1097\/AOG.0000000000002501","article-title":"ACOG practice bulletin no. 190: gestational diabetes mellitus","volume":"131","author":"Committee on Practice Bulletins\u2013Obstetrics","year":"2018","journal-title":"Obstet Gynecol"},{"issue":"1","key":"2024030720484005500_ooae022-B9","doi-asserted-by":"crossref","first-page":"3","DOI":"10.1097\/AOG.0000000000001225","article-title":"Changing the diagnostic criteria for gestational diabetes mellitus?","volume":"127","author":"Landon","year":"2016","journal-title":"Obstet Gynecol"},{"issue":"2","key":"2024030720484005500_ooae022-B10","doi-asserted-by":"crossref","first-page":"220","DOI":"10.1002\/clc.22892","article-title":"Hypertension in pregnancy: taking cues from pathophysiology for clinical practice","volume":"41","author":"Sava","year":"2018","journal-title":"Clin Cardiol"},{"key":"2024030720484005500_ooae022-B11","doi-asserted-by":"crossref","first-page":"e237","DOI":"10.1097\/AOG.0000000000003891","article-title":"Gestational hypertension and preeclampsia. ACOG practice bulletin no. 222","volume":"135","author":"American College of Obstetricians and Gynecologists","year":"2020","journal-title":"Obstet Gynecol"},{"issue":"10","key":"2024030720484005500_ooae022-B12","first-page":"852","article-title":"Identification and management of peripartum depression","volume":"93","author":"Langan","year":"2016","journal-title":"Am Fam Phys"},{"issue":"3","key":"2024030720484005500_ooae022-B13","doi-asserted-by":"crossref","first-page":"250","DOI":"10.1007\/s13669-016-0167-x","article-title":"Recent advances and controversies in Peripartum depression","volume":"5","author":"Payne","year":"2016","journal-title":"Curr Obstet Gynecol Rep"},{"issue":"5","key":"2024030720484005500_ooae022-B14","doi-asserted-by":"crossref","first-page":"388","DOI":"10.3949\/ccjm.84a.14060","article-title":"Peripartum depression: early recognition improves outcomes","volume":"84","author":"Howard","year":"2017","journal-title":"Cleve Clin J Med"},{"issue":"2","key":"2024030720484005500_ooae022-B15","doi-asserted-by":"crossref","first-page":"260","DOI":"10.1007\/s11121-021-01313-9","article-title":"Perinatal mental health support and early childhood home visitation during COVID-19","volume":"23","author":"Traube","year":"2022","journal-title":"Prev Sci"},{"issue":"3","key":"2024030720484005500_ooae022-B16","doi-asserted-by":"crossref","first-page":"208","DOI":"10.1016\/j.whi.2021.12.001","article-title":"After childbirth: better data can help align postpartum needs with a new standard of care","volume":"32","author":"Interrante","year":"2022","journal-title":"Womens Health Issues"},{"issue":"3","key":"2024030720484005500_ooae022-B17","doi-asserted-by":"crossref","first-page":"220","DOI":"10.2188\/jea.JE20190338","article-title":"Economic evaluations of gestational diabetes mellitus screening: a systematic review","volume":"31","author":"Mo","year":"2021","journal-title":"J Epidemiol"},{"issue":"6","key":"2024030720484005500_ooae022-B18","doi-asserted-by":"crossref","first-page":"1227","DOI":"10.1097\/AOG.0000000000003581","article-title":"Maternal and infant health care costs related to preeclampsia","volume":"134","author":"Hao","year":"2019","journal-title":"Obstet Gynecol"},{"key":"2024030720484005500_ooae022-B19","doi-asserted-by":"crossref","first-page":"349","DOI":"10.1007\/978-3-030-29081-8_24","article-title":"Maternal mental health and peripartum depression","author":"Valadares","year":"2020","journal-title":"Women's Mental Health: A Clinical and Evidence-Based Guide"},{"issue":"4","key":"2024030720484005500_ooae022-B20","doi-asserted-by":"crossref","first-page":"317","DOI":"10.2337\/ds19-0013","article-title":"Bridging gaps and understanding disparities in gestational diabetes mellitus to improve perinatal outcomes","volume":"32","author":"Daneshmand","year":"2019","journal-title":"Diabetes Spectr"},{"issue":"5","key":"2024030720484005500_ooae022-B21","doi-asserted-by":"crossref","first-page":"323","DOI":"10.1053\/j.semperi.2017.04.010","article-title":"Strategies to reduce disparities in maternal morbidity and mortality: patient and provider education","volume":"41","author":"Jain","year":"2017","journal-title":"Semin Perinatol"},{"issue":"1","key":"2024030720484005500_ooae022-B22","doi-asserted-by":"crossref","first-page":"7","DOI":"10.1186\/s40842-021-00120-z","article-title":"Physical activity for blood glucose control in gestational diabetes mellitus: rationale and recommendations for translational behavioral interventions","volume":"7","author":"Onaade","year":"2021","journal-title":"Clin Diabetes Endocrinol"},{"issue":"Suppl 2","key":"2024030720484005500_ooae022-B23","doi-asserted-by":"crossref","first-page":"S141","DOI":"10.2337\/dc07-s206","article-title":"Increasing prevalence of gestational diabetes mellitus: a public health perspective","volume":"30","author":"Ferrara","year":"2007","journal-title":"Diabetes Care"},{"issue":"4","key":"2024030720484005500_ooae022-B24","first-page":"1066","article-title":"Health education in gestational diabetes mellitus and quality of life","volume":"5","author":"Mirfeizi","year":"2017","journal-title":"J Midwifery Reprod Health"},{"issue":"4","key":"2024030720484005500_ooae022-B25","doi-asserted-by":"crossref","first-page":"e8834","DOI":"10.2196\/mhealth.8834","article-title":"The usability and effectiveness of mobile health technology\u2013based lifestyle and medical intervention apps supporting health care during pregnancy: systematic review","volume":"6","author":"Overdijkink","year":"2018","journal-title":"JMIR Mhealth Uhealth"},{"issue":"5","key":"2024030720484005500_ooae022-B26","doi-asserted-by":"crossref","first-page":"937","DOI":"10.1007\/s00404-016-4093-y","article-title":"Pregnancy eHealth and mHealth: user proportions and characteristics of pregnant women using web-based information sources\u2014a cross-sectional study","volume":"294","author":"Wallwiener","year":"2016","journal-title":"Arch Gynecol Obstet"},{"issue":"6","key":"2024030720484005500_ooae022-B27","doi-asserted-by":"crossref","first-page":"e137","DOI":"10.2196\/jmir.4381","article-title":"The invisible work of personal health information management among people with multiple chronic conditions: qualitative interview study among patients and providers","volume":"17","author":"Ancker","year":"2015","journal-title":"J Med Internet Res"},{"issue":"1","key":"2024030720484005500_ooae022-B28","doi-asserted-by":"crossref","first-page":"120","DOI":"10.1186\/s12911-016-0359-3","article-title":"Understanding factors affecting patient and public engagement and recruitment to digital health interventions: a systematic review of qualitative studies","volume":"16","author":"O'Connor","year":"2016","journal-title":"BMC Med Inform Decis Mak"},{"key":"2024030720484005500_ooae022-B29","author":"Alper","year":"2021"},{"key":"2024030720484005500_ooae022-B30","doi-asserted-by":"crossref","first-page":"134","DOI":"10.3389\/fpubh.2015.00134","article-title":"Grand challenges in digital health","volume":"3","author":"Kostkova","year":"2015","journal-title":"Front Public Health"},{"key":"2024030720484005500_ooae022-B31","first-page":"577","author":"Peyton","year":"2014"},{"key":"2024030720484005500_ooae022-B32","first-page":"7","volume-title":"mHealth From Smartphones to Smart Systems","author":"Mehregany","year":"2020"},{"issue":"3","key":"2024030720484005500_ooae022-B33","doi-asserted-by":"crossref","first-page":"e11279","DOI":"10.2196\/11279","article-title":"Characterizing the digital health citizen: mixed-methods study deriving a new typology","volume":"21","author":"Powell","year":"2019","journal-title":"J Med Internet Res"},{"issue":"2","key":"2024030720484005500_ooae022-B34","doi-asserted-by":"crossref","first-page":"e6952","DOI":"10.2196\/ijmr.6952","article-title":"Promoting engagement with a digital health intervention (HeLP-Diabetes) using email and text message prompts: mixed-methods study","volume":"6","author":"Alkhaldi","year":"2017","journal-title":"Interact J Med Res"},{"issue":"8","key":"2024030720484005500_ooae022-B35","doi-asserted-by":"crossref","first-page":"e17271","DOI":"10.2196\/17271","article-title":"User experiences with and recommendations for mobile health technology for hypertensive disorders of pregnancy: mixed methods study","volume":"8","author":"Jongsma","year":"2020","journal-title":"JMIR Mhealth Uhealth"},{"issue":"10","key":"2024030720484005500_ooae022-B36","doi-asserted-by":"crossref","first-page":"e17377","DOI":"10.2196\/17377","article-title":"Challenges in acceptance and compliance in digital health assessments during pregnancy: prospective cohort study","volume":"8","author":"Brusniak","year":"2020","journal-title":"JMIR Mhealth Uhealth"},{"issue":"S1","key":"2024030720484005500_ooae022-B37","doi-asserted-by":"crossref","first-page":"S28","DOI":"10.2105\/AJPH.2018.304843","article-title":"Methodological approaches to understanding causes of health disparities","volume":"109","author":"Jeffries","year":"2019","journal-title":"Am J Public Health"},{"key":"2024030720484005500_ooae022-B38","doi-asserted-by":"crossref","first-page":"38","DOI":"10.21037\/mhealth.2017.08.07","article-title":"Digital health is a cultural transformation of traditional healthcare","volume":"3","author":"Mesk\u00f3","year":"2017","journal-title":"Mhealth"},{"issue":"1","key":"2024030720484005500_ooae022-B39","doi-asserted-by":"crossref","first-page":"16","DOI":"10.1038\/s41591-019-0649-2","article-title":"Treating health disparities with artificial intelligence","volume":"26","author":"Chen","year":"2020","journal-title":"Nat Med"},{"key":"2024030720484005500_ooae022-B40","doi-asserted-by":"crossref","first-page":"280","DOI":"10.1016\/j.ijcard.2019.05.066","article-title":"New technologies, new disparities: the intersection of electronic health and digital health literacy","volume":"292","author":"Smith","year":"2019","journal-title":"Int J Cardiol"},{"key":"2024030720484005500_ooae022-B41","first-page":"263","author":"Myneni","year":"2018"},{"key":"2024030720484005500_ooae022-B42","first-page":"113","article-title":"Towards an ontology-driven framework to enable development of personalized mHealth solutions for cancer survivors\u2019 engagement in healthy living","volume":"216","author":"Myneni","year":"2015","journal-title":"Stud Health Technol Inform"},{"issue":"6","key":"2024030720484005500_ooae022-B43","doi-asserted-by":"crossref","first-page":"e3077","DOI":"10.2196\/jmir.3077","article-title":"The behavioral intervention technology model: an integrated conceptual and technological framework for eHealth and mHealth interventions","volume":"16","author":"Mohr","year":"2014","journal-title":"J Med Internet Res"},{"key":"2024030720484005500_ooae022-B44","author":"Alhubaysh"},{"key":"2024030720484005500_ooae022-B45","author":"Expect Wt. What to Expect"},{"key":"2024030720484005500_ooae022-B46","author":"BabyCenter. BabyCenter"},{"key":"2024030720484005500_ooae022-B47"},{"key":"2024030720484005500_ooae022-B48","volume-title":"Grounded Theory in Practice","author":"Strauss","year":"1997"},{"key":"2024030720484005500_ooae022-B49","author":"Devlin","year":"2018"},{"key":"2024030720484005500_ooae022-B50","first-page":"5998","article-title":"Attention is all you need","volume":"30","author":"Vaswani","year":"2017","journal-title":"Adv Neural Inform Processing Syst"},{"key":"2024030720484005500_ooae022-B51","first-page":"979","article-title":"Digital technology needs in maternal mental health: A qualitative inquiry","volume":"281","author":"Zingg","year":"2021","journal-title":"Stud Health Technol Inform"},{"key":"2024030720484005500_ooae022-B52","doi-asserted-by":"crossref","first-page":"653769","DOI":"10.3389\/fdgth.2021.653769","article-title":"Analysis of online peripartum depression communities: application of multilabel text classification techniques to inform digitally-mediated prevention and management","volume":"3","author":"Zingg","year":"2021","journal-title":"Front Digit Health"},{"issue":"1","key":"2024030720484005500_ooae022-B53","doi-asserted-by":"crossref","first-page":"81","DOI":"10.1007\/s12160-013-9486-6","article-title":"The behavior change technique taxonomy (v1) of 93 hierarchically clustered techniques: building an international consensus for the reporting of behavior change interventions","volume":"46","author":"Michie","year":"2013","journal-title":"Ann Behav Med"},{"key":"2024030720484005500_ooae022-B54","first-page":"1421","volume-title":"AMIA Annual Symposium Proceedings 2020","author":"Zingg","year":"2020"},{"key":"2024030720484005500_ooae022-B55","volume-title":"Health Behavior and Health Education: Theory, Research, and Practice","author":"Glanz","year":"2008"},{"issue":"1","key":"2024030720484005500_ooae022-B56","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1186\/s13012-017-0635-3","article-title":"Psychometric assessment of three newly developed implementation outcome measures","volume":"12","author":"Weiner","year":"2017","journal-title":"Implementation Sci"},{"issue":"1","key":"2024030720484005500_ooae022-B57","doi-asserted-by":"crossref","first-page":"13","DOI":"10.1186\/s12884-019-2705-9","article-title":"The postpartum depression literacy scale (PoDLiS): development and psychometric properties","volume":"20","author":"Mirsalimi","year":"2020","journal-title":"BMC Pregnancy Childbirth"},{"key":"2024030720484005500_ooae022-B58","doi-asserted-by":"crossref","first-page":"10732748211006055","DOI":"10.1177\/10732748211006055","article-title":"The development and prototype feedback of digital cancer 101 videos to enhance cancer education for marginalized communities with limited health literacy","volume":"28","author":"Valera","year":"2021","journal-title":"Cancer Control"},{"key":"2024030720484005500_ooae022-B59","first-page":"1","author":"Bagalkot","year":"2020"},{"issue":"7","key":"2024030720484005500_ooae022-B60","doi-asserted-by":"crossref","first-page":"e18255","DOI":"10.2196\/18255","article-title":"Exclusively digital health interventions targeting diet, physical activity, and weight gain in pregnant women: systematic review and meta-analysis","volume":"8","author":"Rhodes","year":"2020","journal-title":"JMIR Mhealth Uhealth"},{"issue":"8","key":"2024030720484005500_ooae022-B61","doi-asserted-by":"crossref","first-page":"e526","DOI":"10.1016\/S2589-7500(21)00118-7","article-title":"The need for feminist intersectionality in digital health","volume":"3","author":"Figueroa","year":"2021","journal-title":"Lancet Digit Health"},{"issue":"7","key":"2024030720484005500_ooae022-B62","doi-asserted-by":"crossref","first-page":"e7736","DOI":"10.2196\/jmir.7736","article-title":"Listening to communities: mixed-method study of the engagement of disadvantaged mothers and pregnant women with digital health technologies","volume":"19","author":"Guendelman","year":"2017","journal-title":"J Med Internet Res"},{"issue":"1","key":"2024030720484005500_ooae022-B63","doi-asserted-by":"crossref","first-page":"85","DOI":"10.1007\/s10865-016-9818-7","article-title":"Applying and advancing behavior change theories and techniques in the context of a digital health revolution: proposals for more effectively realizing untapped potential","volume":"40","author":"Moller","year":"2017","journal-title":"J Behav Med"},{"key":"2024030720484005500_ooae022-B64","author":"Zingg","year":"2021"},{"issue":"1","key":"2024030720484005500_ooae022-B65","doi-asserted-by":"crossref","first-page":"411","DOI":"10.1186\/s12884-023-05729-9","article-title":"Digital health technologies for peripartum depression management among low-socioeconomic populations: perspectives from patients, providers, and social media channels","volume":"23","author":"Zingg","year":"2023","journal-title":"BMC Pregnancy Childbirth"},{"key":"2024030720484005500_ooae022-B66","doi-asserted-by":"crossref","first-page":"104324","DOI":"10.1016\/j.jbi.2023.104324","article-title":"Discerning conversational context in online health communities for personalized digital behavior change solutions using pragmatics to reveal intent in social media (PRISM) framework","volume":"140","author":"Singh","year":"2023","journal-title":"J Biomed Inform"},{"issue":"11","key":"2024030720484005500_ooae022-B67","doi-asserted-by":"crossref","first-page":"2180","DOI":"10.1109\/JPROC.2016.2615052","article-title":"Going digital: a survey on digitalization and large-scale data analytics in healthcare","volume":"104","author":"Tresp","year":"2016","journal-title":"Proc IEEE"},{"key":"2024030720484005500_ooae022-B68","doi-asserted-by":"crossref","DOI":"10.4324\/9781315648835","volume-title":"Digital Health: Critical and Cross-Disciplinary Perspectives","author":"Lupton","year":"2017"},{"key":"2024030720484005500_ooae022-B69","doi-asserted-by":"crossref","DOI":"10.4324\/9780203644713","volume-title":"Women's Health and Social Change","author":"Annandale","year":"2008"},{"issue":"1","key":"2024030720484005500_ooae022-B70","doi-asserted-by":"crossref","first-page":"49","DOI":"10.1177\/1363459315611940","article-title":"Towards critical digital health studies: reflections on two decades of research in health and the way forward","volume":"20","author":"Lupton","year":"2016","journal-title":"Health (London)"}],"container-title":["JAMIA Open"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/academic.oup.com\/jamiaopen\/article-pdf\/7\/1\/ooae022\/56904257\/ooae022.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"syndication"},{"URL":"https:\/\/academic.oup.com\/jamiaopen\/article-pdf\/7\/1\/ooae022\/56904257\/ooae022.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,7]],"date-time":"2024-03-07T15:49:23Z","timestamp":1709826563000},"score":1,"resource":{"primary":{"URL":"https:\/\/academic.oup.com\/jamiaopen\/article\/doi\/10.1093\/jamiaopen\/ooae022\/7624139"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,1,4]]},"references-count":70,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2024,1,4]]}},"URL":"https:\/\/doi.org\/10.1093\/jamiaopen\/ooae022","relation":{},"ISSN":["2574-2531"],"issn-type":[{"value":"2574-2531","type":"electronic"}],"subject":[],"published-other":{"date-parts":[[2024,4,1]]},"published":{"date-parts":[[2024,1,4]]},"article-number":"ooae022"}}