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For: Nundy S, Dick JJ, Solomon MC, Peek ME. Developing a behavioral model for mobile phone-based diabetes interventions. Patient Educ Couns. 2013;90:125-132. [PMID: 23063349 DOI: 10.1016/j.pec.2012.09.008] [Cited by in Crossref: 73] [Cited by in F6Publishing: 79] [Article Influence: 6.6] [Reference Citation Analysis]
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7 Tamilselvi S, Saravana Kumar NM, Lavanya S, Bindhu J, Kaviyavarshini N. Artificial intelligence for a bio-sensored detection of tuberculosis. Netw Model Anal Health Inform Bioinforma 2021;10:25. [DOI: 10.1007/s13721-021-00284-9] [Reference Citation Analysis]
8 Damayanti MR, Antari GAA, Nopriani NLP. Effect of a Ten-Week Short Message Service-Based Intervention on Self-Management of Type-2 Diabetes Patients in Bali, Indonesia. Nurs Med J Nursing 2021;11:177-186. [DOI: 10.14710/nmjn.v11i2.35257] [Cited by in F6Publishing: 1] [Reference Citation Analysis]
9 Vaughn J, Kamkhoad D, Shaw RJ, Docherty SL, Subramaniam AP, Shah N. Seriously ill pediatric patient, parent, and clinician perspectives on visualizing symptom data. J Am Med Inform Assoc 2021;28:1518-25. [PMID: 33712836 DOI: 10.1093/jamia/ocab037] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 0.5] [Reference Citation Analysis]
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12 Bayraktar AK, Tekir Ö, Yildiz H. The Impact of Distance Learning Via Videos Through Mobile Phones on Diabetes-Related Knowledge and Habits in Individuals With Type 2 Diabetes. Turkish Journal of Family Medicine and Primary Care 2021. [DOI: 10.21763/tjfmpc.825045] [Reference Citation Analysis]
13 Sahin C, Courtney KL, Naylor PJ, Rhodes RE. Patients’ Evaluations of Mobile Text Messaging Studies for Type 2 Diabetes Management: A Systematic Review and a Meta-Synthesis. J technol behav sci 2021;6:54-73. [DOI: 10.1007/s41347-020-00168-1] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 1.0] [Reference Citation Analysis]
14 Forsyth JR, Chase H, Roberts NW, Armitage LC, Farmer AJ. Application of the National Institute for Health and Care Excellence Evidence Standards Framework for Digital Health Technologies in Assessing Mobile-Delivered Technologies for the Self-Management of Type 2 Diabetes Mellitus: Scoping Review. JMIR Diabetes 2021;6:e23687. [PMID: 33591278 DOI: 10.2196/23687] [Cited by in Crossref: 8] [Cited by in F6Publishing: 11] [Article Influence: 4.0] [Reference Citation Analysis]
15 Higa C, Davidson EJ, Loos JR. Integrating family and friend support, information technology, and diabetes education in community-centric diabetes self-management. J Am Med Inform Assoc 2021;28:261-75. [PMID: 33164074 DOI: 10.1093/jamia/ocaa223] [Cited by in Crossref: 3] [Cited by in F6Publishing: 3] [Article Influence: 1.5] [Reference Citation Analysis]
16 Nokuthula Sibiya M, Ramlucken L. Willingness and feasibility of utilising short messaging services (SMS) as reminders of follow-up care to mental health care users in the uMgungundlovu District, KwaZulu-Natal. International Journal of Africa Nursing Sciences 2021;14:100294. [DOI: 10.1016/j.ijans.2021.100294] [Cited by in Crossref: 1] [Article Influence: 0.5] [Reference Citation Analysis]
17 Idalski Carcone A, Ellis DA, Eggly S, MacDonell KE, Ghosh S, Buggs-Saxton C, Ondersma SJ. Improving Diabetes Management in Emerging Adulthood: An Intervention Development Study Using the Multiphase Optimization Strategy. JMIR Res Protoc 2020;9:e20191. [PMID: 33079068 DOI: 10.2196/20191] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 0.3] [Reference Citation Analysis]
18 Winand M, Ng A, Byers T. Pokémon “Go” but for how long?: a qualitative analysis of motivation to play and sustainability of physical activity behaviour in young adults using mobile augmented reality. Managing Sport and Leisure. [DOI: 10.1080/23750472.2020.1810107] [Cited by in Crossref: 4] [Cited by in F6Publishing: 2] [Article Influence: 1.3] [Reference Citation Analysis]
19 Forsyth JR, Chase H, Roberts NW, Armitage LC, Farmer AJ. Application of the National Institute for Health and Care Excellence Evidence Standards Framework for Digital Health Technologies in Assessing Mobile-Delivered Technologies for the Self-Management of Type 2 Diabetes Mellitus: Scoping Review (Preprint).. [DOI: 10.2196/preprints.23687] [Reference Citation Analysis]
20 Yee L, Taylor S, Young M, Williams M, Niznik C, Simon M. Evaluation of a Text Messaging Intervention to Support Self-Management of Diabetes During Pregnancy Among Low-Income, Minority Women: Qualitative Study. JMIR Diabetes 2020;5:e17794. [PMID: 32773367 DOI: 10.2196/17794] [Cited by in Crossref: 8] [Cited by in F6Publishing: 8] [Article Influence: 2.7] [Reference Citation Analysis]
21 Nelson LA, Spieker A, Greevy R, LeStourgeon LM, Wallston KA, Mayberry LS. User Engagement Among Diverse Adults in a 12-Month Text Message-Delivered Diabetes Support Intervention: Results from a Randomized Controlled Trial. JMIR Mhealth Uhealth 2020;8:e17534. [PMID: 32706738 DOI: 10.2196/17534] [Cited by in Crossref: 13] [Cited by in F6Publishing: 13] [Article Influence: 4.3] [Reference Citation Analysis]
22 Idalski Carcone A, Ellis DA, Eggly S, Macdonell KE, Ghosh S, Buggs-saxton C, Ondersma SJ. Improving Diabetes Management in Emerging Adulthood: An Intervention Development Study Using the Multiphase Optimization Strategy (Preprint).. [DOI: 10.2196/preprints.20191] [Reference Citation Analysis]
23 González-ruiz DP, Getial-mora DA, Higidio-miranda MA, Hernández-zambrano SM. Efectividad de las tecnologías de la información y comunicación en la adherencia terapéutica de pacientes con Hipertensión Arterial y Diabetes Mellitus. Enferm Nefrol. [DOI: 10.37551/s2254-28842020003] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 0.3] [Reference Citation Analysis]
24 Yee L, Taylor S, Young M, Williams M, Niznik C, Simon M. Evaluation of a Text Messaging Intervention to Support Self-Management of Diabetes During Pregnancy Among Low-Income, Minority Women: Qualitative Study (Preprint).. [DOI: 10.2196/preprints.17794] [Reference Citation Analysis]
25 Nelson LA, Spieker A, Greevy R, Lestourgeon LM, Wallston KA, Mayberry LS. User Engagement Among Diverse Adults in a 12-Month Text Message–Delivered Diabetes Support Intervention: Results from a Randomized Controlled Trial (Preprint).. [DOI: 10.2196/preprints.17534] [Reference Citation Analysis]
26 Thornton PL, Kumanyika SK, Gregg EW, Araneta MR, Baskin ML, Chin MH, Crespo CJ, de Groot M, Garcia DO, Haire-Joshu D, Heisler M, Hill-Briggs F, Ladapo JA, Lindberg NM, Manson SM, Marrero DG, Peek ME, Shields AE, Tate DF, Mangione CM. New research directions on disparities in obesity and type 2 diabetes. Ann N Y Acad Sci 2020;1461:5-24. [PMID: 31793006 DOI: 10.1111/nyas.14270] [Cited by in Crossref: 27] [Cited by in F6Publishing: 30] [Article Influence: 6.8] [Reference Citation Analysis]
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28 Faruqui SHA, Du Y, Meka R, Alaeddini A, Li C, Shirinkam S, Wang J. Development of a Deep Learning Model for Dynamic Forecasting of Blood Glucose Level for Type 2 Diabetes Mellitus: Secondary Analysis of a Randomized Controlled Trial. JMIR Mhealth Uhealth 2019;7:e14452. [PMID: 31682586 DOI: 10.2196/14452] [Cited by in Crossref: 29] [Cited by in F6Publishing: 29] [Article Influence: 7.3] [Reference Citation Analysis]
29 Lygidakis C, Uwizihiwe JP, Kallestrup P, Bia M, Condo J, Vögele C. Community- and mHealth-based integrated management of diabetes in primary healthcare in Rwanda (D²Rwanda): the protocol of a mixed-methods study including a cluster randomised controlled trial. BMJ Open 2019;9:e028427. [PMID: 31345971 DOI: 10.1136/bmjopen-2018-028427] [Cited by in Crossref: 8] [Cited by in F6Publishing: 8] [Article Influence: 2.0] [Reference Citation Analysis]
30 Harris J, Haltbakk J, Dunning T, Austrheim G, Kirkevold M, Johnson M, Graue M. How patient and community involvement in diabetes research influences health outcomes: A realist review. Health Expect 2019;22:907-20. [PMID: 31286639 DOI: 10.1111/hex.12935] [Cited by in Crossref: 17] [Cited by in F6Publishing: 21] [Article Influence: 4.3] [Reference Citation Analysis]
31 Salari R, R Niakan Kalhori S, Ghazisaeidi M, Fatehi F. Conformity of Diabetes Mobile apps with the Chronic Care Model. BMJ Health Care Inform 2019;26:e000017. [PMID: 31039125 DOI: 10.1136/bmjhci-2019-000017] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 0.3] [Reference Citation Analysis]
32 Faruqui SHA, Du Y, Meka R, Alaeddini A, Li C, Shirinkam S, Wang J. Development of a Deep Learning Model for Dynamic Forecasting of Blood Glucose Level for Type 2 Diabetes Mellitus: Secondary Analysis of a Randomized Controlled Trial (Preprint).. [DOI: 10.2196/preprints.14452] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 0.3] [Reference Citation Analysis]
33 Waller K, Furber S, Bauman A, Allman-Farinelli M, van den Dolder P, Hayes A, Facci F, Franco L, Webb A, Moses R, Colagiuri S. DTEXT - text messaging intervention to improve outcomes of people with type 2 diabetes: protocol for randomised controlled trial and cost-effectiveness analysis. BMC Public Health 2019;19:262. [PMID: 30832638 DOI: 10.1186/s12889-019-6550-6] [Cited by in Crossref: 5] [Cited by in F6Publishing: 5] [Article Influence: 1.3] [Reference Citation Analysis]
34 Hovadick ACDA, Reis IA, Torres HC. Short Message Service (SMS) e promoção do autocuidado em DM2: revisão integrativa. Acta paul enferm 2019;32:210-9. [DOI: 10.1590/1982-0194201900029] [Cited by in Crossref: 9] [Cited by in F6Publishing: 9] [Article Influence: 2.3] [Reference Citation Analysis]
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