{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,4]],"date-time":"2026-04-04T05:18:40Z","timestamp":1775279920872,"version":"3.50.1"},"reference-count":169,"publisher":"Oxford University Press (OUP)","issue":"10","license":[{"start":{"date-parts":[[2018,8,17]],"date-time":"2018-08-17T00:00:00Z","timestamp":1534464000000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/academic.oup.com\/journals\/pages\/about_us\/legal\/notices"}],"funder":[{"DOI":"10.13039\/100000002","name":"National Institutes of Health","doi-asserted-by":"publisher","award":["LM012402-01A1"],"award-info":[{"award-number":["LM012402-01A1"]}],"id":[{"id":"10.13039\/100000002","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000092","name":"National Library of Medicine","doi-asserted-by":"crossref","id":[{"id":"10.13039\/100000092","id-type":"DOI","asserted-by":"crossref"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2018,10,1]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:sec><jats:title>Objectives<\/jats:title><jats:p>Limited data are available on the correlation of mHealth features and statistically significant outcomes. We sought to identify and analyze: types and categories of features; frequency and number of features; and relationship of statistically significant outcomes by type, frequency, and number of features.<\/jats:p><\/jats:sec><jats:sec><jats:title>Materials and Methods<\/jats:title><jats:p>This search included primary articles focused on app-based interventions in managing chronic respiratory diseases, diabetes, and hypertension. The initial search yielded 3622 studies with 70 studies meeting the inclusion criteria. We used thematic analysis to identify 9 features within the studies.<\/jats:p><\/jats:sec><jats:sec><jats:title>Results<\/jats:title><jats:p>Employing existing terminology, we classified the 9 features as passive or interactive. Passive features included: 1) one-way communication; 2) mobile diary; 3) Bluetooth technology; and 4) reminders. Interactive features included: 1) interactive prompts; 2) upload of biometric measurements; 3) action treatment plan\/personalized health goals; 4) 2-way communication; and 5) clinical decision support system.<\/jats:p><\/jats:sec><jats:sec><jats:title>Discussion<\/jats:title><jats:p>Each feature was included in only one-third of the studies with a mean of 2.6 mHealth features per study. Studies with statistically significant outcomes used a higher combination of passive and interactive features (69%). In contrast, studies without statistically significant outcomes exclusively used a higher frequency of passive features (46%). Inclusion of behavior change features (ie, plan\/goals and mobile diary) were correlated with a higher incident of statistically significant outcomes (100%, 77%).<\/jats:p><\/jats:sec><jats:sec><jats:title>Conclusion<\/jats:title><jats:p>This exploration is the first step in identifying how types and categories of features impact outcomes. While the findings are inconclusive due to lack of homogeneity, this provides a foundation for future feature analysis.<\/jats:p><\/jats:sec>","DOI":"10.1093\/jamia\/ocy104","type":"journal-article","created":{"date-parts":[[2018,7,14]],"date-time":"2018-07-14T11:32:07Z","timestamp":1531567927000},"page":"1407-1418","source":"Crossref","is-referenced-by-count":60,"title":["Exploring app features with outcomes in mHealth studies involving chronic respiratory diseases, diabetes, and hypertension: a targeted exploration of the literature"],"prefix":"10.1093","volume":"25","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-1446-4706","authenticated-orcid":false,"given":"Sara Belle","family":"Donevant","sequence":"first","affiliation":[{"name":"College of Nursing, University of South Carolina, Columbia, South Carolina, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5764-3558","authenticated-orcid":false,"given":"Robin Dawson","family":"Estrada","sequence":"additional","affiliation":[{"name":"College of Nursing, University of South Carolina, Columbia, South Carolina, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Joan Marie","family":"Culley","sequence":"additional","affiliation":[{"name":"College of Nursing, University of South Carolina, Columbia, South Carolina, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Brian","family":"Habing","sequence":"additional","affiliation":[{"name":"Department of Statistics, University of South Carolina, Columbia, South Carolina, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Swann Arp","family":"Adams","sequence":"additional","affiliation":[{"name":"College of Nursing\/Arnold School of Public Health, University of South Carolina, Columbia, South Carolina, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"286","published-online":{"date-parts":[[2018,8,17]]},"reference":[{"key":"2020110612241079100_ocy104-B1","author":"Kay","year":"2011"},{"key":"2020110612241079100_ocy104-B2","author":"Research2Guidance","year":"2017"},{"issue":"2","key":"2020110612241079100_ocy104-B3","doi-asserted-by":"crossref","first-page":"376","DOI":"10.1377\/hlthaff.2012.1216","article-title":"A national action plan to support consumer engagement via e-health","volume":"32","author":"Ricciardi","year":"2013","journal-title":"Health Aff"},{"issue":"2","key":"2020110612241079100_ocy104-B4","doi-asserted-by":"crossref","first-page":"e41.","DOI":"10.2196\/mhealth.4928","article-title":"Assessing the use of mobile health technology by patients: an observational study in primary care clinics","volume":"4","author":"Ramirez","year":"2016","journal-title":"JMIR mHealth Uhealth"},{"key":"2020110612241079100_ocy104-B5","volume-title":"Patient Adoption of mHealth: Use, Evidence and Remaining Barriers to Mainstream Acceptance","author":"Aitken","year":"2015"},{"issue":"4","key":"2020110612241079100_ocy104-B6","doi-asserted-by":"crossref","first-page":"196","DOI":"10.1080\/19325037.2015.1044141","article-title":"Usability of mobile phones in physical activity\u2013related research: a systematic review","volume":"46","author":"Monroe","year":"2015","journal-title":"Am J Health Educ"},{"issue":"1","key":"2020110612241079100_ocy104-B7","doi-asserted-by":"crossref","first-page":"e1001363.","DOI":"10.1371\/journal.pmed.1001363","article-title":"The effectiveness of mobile-health technologies to improve health care service delivery processes: a systematic review and meta-analysis","volume":"10","author":"Free","year":"2013","journal-title":"PLoS Med"},{"issue":"5","key":"2020110612241079100_ocy104-B8","doi-asserted-by":"crossref","first-page":"969","DOI":"10.1007\/s10995-014-1595-8","article-title":"Use of text messaging for maternal and infant health: a systematic review of the literature","volume":"19","author":"Poorman","year":"2015","journal-title":"Matern Child Health J"},{"issue":"6","key":"2020110612241079100_ocy104-B9","doi-asserted-by":"crossref","first-page":"1321.","DOI":"10.1177\/1932296815585132","article-title":"A taxonomic integrative review of short message service (SMS) methodology: a framework for improved diabetic outcomes","volume":"9","author":"Holcomb","year":"2015","journal-title":"J Diabetes Sci Technol"},{"issue":"10","key":"2020110612241079100_ocy104-B10","doi-asserted-by":"crossref","first-page":"1139.e1","DOI":"10.1016\/j.amjmed.2015.05.035","article-title":"One-way versus two-way text messaging on improving medication adherence: meta-analysis of randomized trials","volume":"128","author":"Wald","year":"2015","journal-title":"Am J Med"},{"issue":"3","key":"2020110612241079100_ocy104-B11","doi-asserted-by":"crossref","first-page":"260","DOI":"10.1097\/JCN.0000000000000336","article-title":"Use of short messaging service for hypertension management. 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