{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,12]],"date-time":"2026-09-12T17:49:40Z","timestamp":1789235380762,"version":"build-2803163510"},"reference-count":50,"publisher":"JMIR Publications Inc.","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["JMIR Hum Factors"],"abstract":"<jats:sec>\n                    <jats:title>Background<\/jats:title>\n                    <jats:p>Gestational diabetes mellitus (GDM) is a significant medical complication of pregnancy that requires close monitoring by a multidisciplinary health care team. The growing sophistication of mobile health (mHealth) technology could play a significant supporting role for women with GDM and health professionals (HPs) regarding GDM management.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Objective<\/jats:title>\n                    <jats:p>This study included 2 phases. The aim of phase 1 was to explore the perceptions of HPs and women with GDM regarding the use of mHealth for GDM self-management and to identify their needs from these technologies. The aim of phase 2 was to explore the perceptions of women with GDM about their experiences with a state-of-the-art app for managing GDM that was offered to them during the COVID-19 lockdown. This phase aimed to understand the impact that COVID-19 has had on women\u2019s perceptions about using technology to manage their GDM. By combining both phases, the overall aim was to establish how perceptions about GDM self-management technology have changed owing to the pandemic restrictions and experience of using such technology.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>In total, 26 semistructured interviews were conducted in 2 phases. In phase 1, overall, 62% (16\/26) of the participants, including 44% (7\/16) of HPs, 50% (8\/16) of women with GDM, and 6% (1\/16) of women in the postpartum period with GDM history participated in the interviews. In phase 2, overall, 38% (10\/26) of women with GDM participated in the interviews. NVivo (QSR International) was used to extract qualitative data, which were subjected to thematic analysis.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>Phase 1 identified 3 themes from the interviews with women with GDM: fitting with women\u2019s lifestyle constraints, technology\u2019s design not meeting women\u2019s needs, and optimizing the technology\u2019s design to meet women\u2019s needs. Overall, 3 themes were derived from the interviews with HPs: optimizing the technology\u2019s design to improve the quality of care, technology to support women\u2019s independence, and limitations in the care system and facilities. Analysis of phase-2 interviews identified 2 further themes: enhancing the information and functionalities and optimizing the interface design. In both phases, participants emphasized a simple and user-friendly interface design as the predominant positive influence on their use of technology for GDM management.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusions<\/jats:title>\n                    <jats:p>The combined findings underlined similar points. Poor usability, data visualization limitations, lack of personalization, limited information, and lack of communication facilities were the prime issues of current GDM self-management mHealth technology that need to be addressed. The analysis also revealed how women with GDM should play a vital role in gathering the requirements for GDM self-management technology; some needs were identified from in-depth discussion with women with GDM that would be missed without their involvement.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.2196\/51691","type":"journal-article","created":{"date-parts":[[2023,12,19]],"date-time":"2023-12-19T09:46:33Z","timestamp":1702979193000},"page":"e51691","source":"Crossref","is-referenced-by-count":17,"title":["Baseline Perceptions of Women With Gestational Diabetes Mellitus and Health Care Professionals About Digital Gestational Diabetes Mellitus Self-Management Health Care Technologies: Interview Study Among Patients and Health Care Professionals"],"prefix":"10.2196","volume":"10","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-2879-217X","authenticated-orcid":false,"given":"Ladan","family":"Safiee","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1545-5377","authenticated-orcid":false,"given":"Daniel","family":"Rough","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8664-3741","authenticated-orcid":false,"given":"Priya","family":"George","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0001-4251-6043","authenticated-orcid":false,"given":"Roselyn","family":"Mudenha","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1010","published-online":{"date-parts":[[2023,12,19]]},"reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1038\/s41572-019-0098-8"},{"key":"ref2","year":"2008","journal-title":"Diabetes in Pregnancy: Management from Preconception to the Postnatal Period"},{"key":"ref3","unstructured":"Information services division publication report: births in Scottish hospitalsPublic Health Scotland201711282019-06-06https:\/\/www.isdscotland.org\/Health-Topics\/Maternity-and-Births\/Publications\/2017-11-28\/2017-11-28-Births-Report.pdf"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.3109\/14767058.2014.966677"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.2337\/diacare.3.3.458"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1016\/s0020-7292(01)00496-9"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1016\/j.midw.2012.05.013"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.4258\/hir.2016.22.1.11"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.2337\/dc07-s225"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1111\/j.1600-0412.2010.01040.x"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1016\/S0140-6736(09)60731-5"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1016\/j.diabres.2007.06.002"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.2337\/dc10-S062"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1111\/dme.12105"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.2337\/diaspect.14.1.33"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1111\/j.1365-2648.2006.03799.x"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.2337\/diacare.29.02.06.dc05-1915"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.2196\/jmir.9262"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1016\/j.whi.2016.12.009"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1177\/1932296817704442"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1111\/ajo.12246"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1177\/1932296814556506"},{"key":"ref23","unstructured":"UK internet penetration: percentage of population using the internet in the United Kingdom from 2000 to 2020Statista2023-04-23https:\/\/www.statista.com\/statistics\/468663\/uk-internet-penetration\/#:~:text=94.62%20percent%20of%20the%20population,92.52%20in%20the%20previous%20year.&text=46.6%20million%20people%20used%20the,the%20record%20set%20in%202016"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1111\/j.1525-1497.2005.00310.x"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1136\/medhum-2017-011398"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.22605\/RRH5983"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1136\/bmjopen-2015-009702"},{"key":"ref28","unstructured":"Diabetes in pregnancy: management of diabetes and its complications from pre-conception to the postnatal period 22\/10\/2023National Institute for Health and Care Excellence2023-10-22https:\/\/www.nice.org.uk\/guidance\/ng3\/chapter\/Recommendations#antenatal-care-for-women-with-diabetes[Accessed"},{"key":"ref29","unstructured":"SIGN 116: management of diabetes, a national clinical guidelineScottish Intercollegiate Guidelines Network20172023-10-22https:\/\/www.sign.ac.uk\/media\/1054\/sign116.pdf"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1177\/1932296814542271"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.3390\/healthcare3020310"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1089\/dia.2020.0509"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.3390\/ijerph18126670"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/usbereit.2018.8384546"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1016\/j.midw.2017.12.021"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.2196\/mhealth.9686"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.2196\/13661"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1016\/j.midw.2021.102995"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1191\/1478088706qp063oa"},{"key":"ref40","unstructured":"Official launch of GDm-HealthBuilding Better Health2023-06-29https:\/\/www.buildingbetterhealthcare.com\/news\/article_page\/Official_launch_of_GDm-Health\/148302"},{"key":"ref41","unstructured":"GDm-Health appGoogle Play2023-08-10https:\/\/play.google.com\/store\/search?q=gdm-health+app&c=apps&hl=en&gl=US"},{"issue":"5 Suppl","key":"ref42","first-page":"26","volume":"105","author":"Lydon, K","year":"2012","journal-title":"Ir Med J"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1186\/s12884-019-2185-y"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1186\/s12884-016-1064-z"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1177\/1932296821993175"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.2196\/17794"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.2196\/39689"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.2196\/36987"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijmedinf.2017.02.014"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1093\/jamia\/ocv099"}],"container-title":["JMIR Human Factors"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/humanfactors.jmir.org\/2023\/1\/e51691","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,6,30]],"date-time":"2026-06-30T17:35:46Z","timestamp":1782840946000},"score":1,"resource":{"primary":{"URL":"https:\/\/humanfactors.jmir.org\/2023\/1\/e51691"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,12,19]]},"references-count":50,"URL":"https:\/\/doi.org\/10.2196\/51691","relation":{"has-preprint":[{"id-type":"doi","id":"10.2196\/preprints.51691","asserted-by":"object"}]},"ISSN":["2292-9495"],"issn-type":[{"value":"2292-9495","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,12,19]]}}}