Published on 19.12.17 in Vol 5, No 12 (2017): December
Works citing "Health App Use Among US Mobile Phone Users: Analysis of Trends by Chronic Disease Status"
According to Crossref, the following articles are citing this article (DOI 10.2196/mhealth.7832):
(note that this is only a small subset of citations)
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Marrie RA, Leung S, Tyry T, Cutter GR, Fox R, Salter A. Use of eHealth and mHealth technology by persons with multiple sclerosis. Multiple Sclerosis and Related Disorders 2019;27:13
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Wilson K, Bell C, Wilson L, Witteman H. Agile research to complement agile development: a proposal for an mHealth research lifecycle. npj Digital Medicine 2018;1(1)
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Byambasuren O, Beller E, Hoffmann T, Glasziou P. Barriers to and Facilitators of the Prescription of mHealth Apps in Australian General Practice: Qualitative Study. JMIR mHealth and uHealth 2020;8(7):e17447
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Li J, Chang X. Improving mobile health apps usage: a quantitative study on mPower data of Parkinson's disease. Information Technology & People 2021;34(1):399
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Huang C, Chen S, Tang C, Huang H. A trade-off dual-factor model to investigate discontinuous intention of health app users: From the perspective of information disclosure. Journal of Biomedical Informatics 2019;100:103302
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Schmidt-Kraepelin M, Toussaint PA, Thiebes S, Hamari J, Sunyaev A. Archetypes of Gamification: Analysis of mHealth Apps. JMIR mHealth and uHealth 2020;8(10):e19280
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Böhm A, Jensen ML, Sørensen MR, Stargardt T. Real-World Evidence of User Engagement With Mobile Health for Diabetes Management: Longitudinal Observational Study. JMIR mHealth and uHealth 2020;8(11):e22212
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Bt Wan Mohamed Radzi CWJ, Salarzadeh Jenatabadi H, Samsudin N. mHealth Apps Assessment among Postpartum Women with Obesity and Depression. Healthcare 2020;8(2):72
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Dantas LO, Weber S, Osani MC, Bannuru RR, McAlindon TE, Kasturi S. Mobile health technologies for the management of systemic lupus erythematosus: a systematic review. Lupus 2020;29(2):144
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Sill J, Steenbock B, Helmer S, Zeeb H, Pischke CR. Apps zur Förderung von körperlicher Aktivität – Nutzung und Einstellungen bei Erwachsenen im Alter von 50 Jahren und älter. Prävention und Gesundheitsförderung 2019;14(2):109
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Rathnayake S, Moyle W, Jones C, Calleja P. Family carers’ needs related to management of functional disability in dementia care and use of mHealth applications in health information seeking: An online survey. Collegian 2020;27(3):288
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Cho J, Kim S. Personal and social predictors of use and non-use of fitness/diet app: Application of Random Forest algorithm. Telematics and Informatics 2020;55:101301
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Siqueira do Prado L, Carpentier C, Preau M, Schott A, Dima AL. Behavior Change Content, Understandability, and Actionability of Chronic Condition Self-Management Apps Available in France: Systematic Search and Evaluation. JMIR mHealth and uHealth 2019;7(8):e13494
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Chen D, Zhu L, Lin X, Hong Z, Li S, Liu L, Zhou D. Epilepsy control during an epidemic: emerging approaches and a new management framework. Acta Epileptologica 2020;2(1)
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Cavero-Redondo I, Martinez-Vizcaino V, Fernandez-Rodriguez R, Saz-Lara A, Pascual-Morena C, Álvarez-Bueno C. Effect of Behavioral Weight Management Interventions Using Lifestyle mHealth Self-Monitoring on Weight Loss: A Systematic Review and Meta-Analysis. Nutrients 2020;12(7):1977
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Bauer M, Glenn T, Geddes J, Gitlin M, Grof P, Kessing LV, Monteith S, Faurholt-Jepsen M, Severus E, Whybrow PC. Smartphones in mental health: a critical review of background issues, current status and future concerns. International Journal of Bipolar Disorders 2020;8(1)
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Mahmood A, Kedia S, Wyant DK, Ahn S, Bhuyan SS. Use of mobile health applications for health-promoting behavior among individuals with chronic medical conditions. DIGITAL HEALTH 2019;5:205520761988218
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Huberty J, Eckert R, Puzia M, Laird B, Larkey L, Mesa R. A Novel Educational Control Group Mobile App for Meditation Interventions: Single-Group Feasibility Trial. JMIR Formative Research 2020;4(7):e19364
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Biebl JT, Huber S, Rykala M, Kraft E, Lorenz A. Attitudes and Expectations of Health Care Professionals Toward App-Based Therapy in Patients with Osteoarthritis of the Hip or Knee: Questionnaire Study. JMIR mHealth and uHealth 2020;8(10):e21704
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Stühmann LM, Paprott R, Heidemann C, Baumert J, Hansen S, Zahn D, Scheidt-Nave C, Gellert P. Health App Use and Its Correlates Among Individuals With and Without Type 2 Diabetes: Nationwide Population-Based Survey. JMIR Diabetes 2020;5(2):e14396
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Issom D, Henriksen A, Woldaregay AZ, Rochat J, Lovis C, Hartvigsen G. Factors Influencing Motivation and Engagement in Mobile Health Among Patients With Sickle Cell Disease in Low-Prevalence, High-Income Countries: Qualitative Exploration of Patient Requirements. JMIR Human Factors 2020;7(1):e14599
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Zahed K, Sasangohar F, Mehta R, Erraguntla M, Lawley M, Qaraqe K. Investigating the Efficacy of Using Hand Tremors for Early Detection of Hypoglycemic Events: A Scoping Literature Review. Proceedings of the Human Factors and Ergonomics Society Annual Meeting 2018;62(1):1211
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Baretta D, Perski O, Steca P. Exploring Users’ Experiences of the Uptake and Adoption of Physical Activity Apps: Longitudinal Qualitative Study. JMIR mHealth and uHealth 2019;7(2):e11636
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. Digital Health Consumers on the Road to the Future. Journal of Medical Internet Research 2019;21(11):e16359
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Rafiullah M, David SK. Health apps usage and preferences among Saudi patients with diabetes: A survey. International Journal of Clinical Practice 2019;73(5):e13345
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Oakley-Girvan I, Lavista JM, Miller Y, Davis S, Acle C, Hancock J, Nelson LM. Evaluation of a Mobile Device Survey System for Behavioral Risk Factors (SHAPE): App Development and Usability Study. JMIR Formative Research 2019;3(1):e10246
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Langford AT, Solid CA, Scott E, Lad M, Maayan E, Williams SK, Seixas AA. Mobile Phone Ownership, Health Apps, and Tablet Use in US Adults With a Self-Reported History of Hypertension: Cross-Sectional Study. JMIR mHealth and uHealth 2019;7(1):e12228
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Flitcroft L, Chen WS, Meyer D. The Demographic Representativeness and Health Outcomes of Digital Health Station Users: Longitudinal Study. Journal of Medical Internet Research 2020;22(6):e14977
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Huckvale K, Nicholas J, Torous J, Larsen ME. Smartphone apps for the treatment of mental health conditions: status and considerations. Current Opinion in Psychology 2020;36:65
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Grassl N, Nees J, Schramm K, Spratte J, Sohn C, Schott TC, Schott S. A Web-Based Survey Assessing the Attitudes of Health Care Professionals in Germany Toward the Use of Telemedicine in Pregnancy Monitoring: Cross-Sectional Study. JMIR mHealth and uHealth 2018;6(8):e10063
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Ifejika NL, Bhadane M, Cai CC, Noser EA, Grotta JC, Savitz SI. Use of a Smartphone-Based Mobile App for Weight Management in Obese Minority Stroke Survivors: Pilot Randomized Controlled Trial With Open Blinded End Point. JMIR mHealth and uHealth 2020;8(4):e17816
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Madrigal L, Escoffery C. Electronic Health Behaviors Among US Adults With Chronic Disease: Cross-Sectional Survey. Journal of Medical Internet Research 2019;21(3):e11240
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Tarricone R, Cucciniello M, Armeni P, Petracca F, Desouza KC, Hall LK, Keefe D. Mobile Health Divide Between Clinicians and Patients in Cancer Care: Results From a Cross-Sectional International Survey. JMIR mHealth and uHealth 2019;7(9):e13584
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Collado-Borrell R, Escudero-Vilaplana V, Calles A, Garcia-Martin E, Marzal-Alfaro B, Gonzalez-Haba E, Herranz-Alonso A, Sanjurjo-Saez M. Oncology Patient Interest in the Use of New Technologies to Manage Their Disease: Cross-Sectional Survey. Journal of Medical Internet Research 2018;20(10):e11006
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Chiauzzi E, Newell A. Mental Health Apps in Psychiatric Treatment: A Patient Perspective on Real World Technology Usage. JMIR Mental Health 2019;6(4):e12292
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Soeiro ADM, Leal TDCAT, Bossa AS, Soeiro MCFDA, Serrano Jr CV, Oliveira Jr MT. CardioER® - Using smartphone medical applications as an aid to clinical decision-making – are we ready for this?. Revista da Associação Médica Brasileira 2018;64(8):658
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Alwashmi MF, Fitzpatrick B, Farrell J, Gamble J, Davis E, Nguyen HV, Farrell G, Hawboldt J. Perceptions of Patients Regarding Mobile Health Interventions for the Management of Chronic Obstructive Pulmonary Disease: Mixed Methods Study. JMIR mHealth and uHealth 2020;8(7):e17409
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Maisonneuve AR, Witteman HO, Brehaut J, Dubé , Wilson K. Educating children and adolescents about vaccines: a review of current literature. Expert Review of Vaccines 2018;17(4):311
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Rising CJ, Jensen RE, Moser RP, Oh A. Characterizing the US Population by Patterns of Mobile Health Use for Health and Behavioral Tracking: Analysis of the National Cancer Institute's Health Information National Trends Survey Data. Journal of Medical Internet Research 2020;22(5):e16299
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Jake-Schoffman DE, McVay MA. Using the Design Sprint process to enhance and accelerate behavioral medicine progress: a case study and guidance. Translational Behavioral Medicine 2021;11(5):1099
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North M, Bourne S, Green B, Chauhan AJ, Brown T, Winter J, Jones T, Neville D, Blythin A, Watson A, Johnson M, Culliford D, Elkes J, Cornelius V, Wilkinson TMA. A randomised controlled feasibility trial of E-health application supported care vs usual care after exacerbation of COPD: the RESCUE trial. npj Digital Medicine 2020;3(1)
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Issom D, Hardy-Dessources M, Romana M, Hartvigsen G, Lovis C. Toward a Conversational Agent to Support the Self-Management of Adults and Young Adults With Sickle Cell Disease: Usability and Usefulness Study. Frontiers in Digital Health 2021;3
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Brault N, Saxena M. For a critical appraisal of artificial intelligence in healthcare: The problem of bias in mHealth. Journal of Evaluation in Clinical Practice 2021;27(3):513
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Camacho-Rivera M, Rice SL, Oh S, Paris M, Akpara E, Molina J, Obadina M, Mcmillan S, Aracena JLM, Morency J, Muniz RC, Gany F, Brown CL, Gonsky J, Osborne JR. Cancer Health Impact Program (CHIP): Identifying Social and Demographic Associations of mHealth Access and Cancer Screening Behaviors Among Brooklyn, New York, Residents. Cancer Epidemiology Biomarkers & Prevention 2019;28(3):478
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Crump CA, Wernz C, Schlachta-Fairchild L, Steidle E, Duncan A, Cathers L. Closing the Digital Health Evidence Gap: Development of a Predictive Score to Maximize Patient Outcomes. Telemedicine and e-Health 2021;27(9):1029
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Langarizadeh M, Sadeghi M, As’habi A, Rahmati P, Sheikhtaheri A. Mobile apps for weight management in children and adolescents; An updated systematic review. Patient Education and Counseling 2021;104(9):2181
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Wang C, Qi H. Influencing Factors of Acceptance and Use Behavior of Mobile Health Application Users: Systematic Review. Healthcare 2021;9(3):357
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Qan’ir Y, Khalifeh AH, Eid M, Hammad B, Al-Batran M. Mobile health apps use among Jordanian outpatients: A descriptive study. Health Informatics Journal 2021;27(2):146045822110179
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Sneha S, Thalla S, Rischie I, Shahriar H. Health Internet Technology for Chronic Conditions: Review of Diabetes Management Apps. JMIR Diabetes 2021;6(3):e17431
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Bevens W, Gray K, Neate S, Nag N, Weiland T, Jelinek G, Simpson-Yap S. Characteristics of mHealth app use in an international sample of people with multiple sclerosis. Multiple Sclerosis and Related Disorders 2021;54:103092
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Steare T, Giorgalli M, Free K, Harju-Seppänen J, Akther S, Eskinazi M, O’Hanlon P, Rostill H, Amani S, Lloyd-Evans B, Osborn D, Johnson S. A qualitative study of stakeholder views on the use of a digital app for supported self-management in early intervention services for psychosis. BMC Psychiatry 2021;21(1)
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Tobias G, Spanier AB. Using an mHealth App (iGAM) to Reduce Gingivitis Remotely (Part 2): Prospective Observational Study. JMIR mHealth and uHealth 2021;9(9):e24955
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Mata-Greve F, Johnson M, Pullmann MD, Friedman EC, Griffith Fillipo I, Comtois KA, Arean P. Mental Health and the Perceived Usability of Digital Mental Health Tools Among Essential Workers and People Unemployed Due to COVID-19: Cross-sectional Survey Study. JMIR Mental Health 2021;8(8):e28360
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Hogan TP, Etingen B, Lipschitz JM, Shimada SL, McMahon N, Bolivar D, Bixler FR, Irvin D, Wacks R, Cutrona S, Frisbee KL, Smith BM. Factors Associated With Self-reported Use of Web and Mobile Health Apps Among US Military Veterans: Cross-sectional Survey. JMIR mHealth and uHealth 2022;10(12):e41767
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Khadam S, Chu T, Deekes N, FitzGerald D, Preston A, Duncan N. An investigation of the use of app technology to support clinical management of patients with chronic myeloid leukaemia (CML). Journal of Oncology Pharmacy Practice 2023;29(5):1083
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Al Ansari FS, Alfayez A, Alsalman D, Alanezi F, Alhodaib H, Al-Rayes S, Aljabri D, Alrawiai S, Alakrawi Z, Saadah A, Al-Juwair MM, Aljaffary A, AlThani B, Mushcab H, Alanzi TM, AlNujaidi H, Al-Saif AK, Attar R, Alumran A, Al-Mubarak S, Alyousef S. Using mobile health applications to enhance physical activity in Saudi Arabia: a cross-sectional study on users’ perceptions. International Health 2023;15(1):47
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Buhr L, Kaufmann PLM, Jörß K. Attitudes of Patients With Chronic Heart Failure Toward Digital Device Data for Self-documentation and Research in Germany: Cross-sectional Survey Study. JMIR Cardio 2022;6(2):e34959
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Buhr L, Schicktanz S, Nordmeyer E. Attitudes Toward Mobile Apps for Pandemic Research Among Smartphone Users in Germany: National Survey. JMIR mHealth and uHealth 2022;10(1):e31857
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Lin I, Chen Y, Chuang L. Test-Retest Reliability of Home-Based Fitness Assessments Using a Mobile App (R Plus Health) in Healthy Adults: Prospective Quantitative Study. JMIR Formative Research 2021;5(12):e28040
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Coughlin JW, Martin LM, Zhao D, Goheer A, Woolf TB, Holzhauer K, Lehmann HP, Lent MR, McTigue KM, Clark JM, Bennett WL. Electronic Health Record–Based Recruitment and Retention and Mobile Health App Usage: Multisite Cohort Study. Journal of Medical Internet Research 2022;24(6):e34191
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MOUKADDAM N, TRUONG A, CAO J, SHAH A, SABHARWAL A. Findings From a Trial of the Smartphone and OnLine Usage-based eValuation for Depression (SOLVD) Application: What Do Apps Really Tell Us About Patients with Depression? Concordance Between App-Generated Data and Standard Psychiatric Questionnaires for Depression and Anxiety. Journal of Psychiatric Practice 2019;25(5):365
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Wu C, Huang C, Wang Y, Islam M, Kung W, Weng Y, Su C. mHealth Research for Weight Loss, Physical Activity, and Sedentary Behavior: Bibliometric Analysis. Journal of Medical Internet Research 2022;24(6):e35747
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Ma L, Zhao X, Zhou Z. The effect of fixed physical usage patterns on the engagement of physical activity apps: a real-world data analysis. Behaviour & Information Technology 2024;43(2):246
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Buss VH, Varnfield M, Harris M, Barr M. Mobile Health Use by Older Individuals at Risk of Cardiovascular Disease and Type 2 Diabetes Mellitus in an Australian Cohort: Cross-sectional Survey Study. JMIR mHealth and uHealth 2022;10(9):e37343
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Ogunsanya ME, Sifat M, Bamidele OO, Ezenwankwo EF, Clifton S, Ton C, Knight JM, Odedina FT, Greer JA, Dwyer K, Kendzor DE. Mobile health (mHealth) interventions in prostate cancer survivorship: a scoping review. Journal of Cancer Survivorship 2023;17(3):557
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Brenk-Franz K, Leonhardt LJ, Strauß B. Attachment and patient activation as predictors of the interest and use of telemedical health applications –results of an observational study in primary health care. BMC Primary Care 2022;23(1)
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McVay MA, Cooper KB, Donahue ML, Seoane MC, Shah NR, Webb F, Perri M, Jake‐Schoffman DE. Engaging primary care patients with existing online tools for weight loss: A pilot trial. Obesity Science & Practice 2022;8(5):569
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Scanferla WH, Oliveira C, Lousada ML, Teixeira LC. The Usability and Acceptability of the mHealth “Health and Voice” for Promoting Teachers' Vocal Health. Journal of Voice 2023;
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Pannard M, Leroy T, Escriva-Boulley G, Bernetière C, Desfriches O, Paquienséguy F, Préau M. Rôle des émotions et représentations dans le recours à la m-health chez les membres d’une communauté d’intérêt en ligne en lien avec le cancer, les Seintinelles. Bulletin du Cancer 2022;109(10):1040
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Yan X, Dunne DM, Impey SG, Cunniffe B, Lefevre CE, Mazorra R, Morton JP, Tod D, Close GL, Murphy R, Chakraborty B. A pilot sequential multiple assignment randomized trial (SMART) protocol for developing an adaptive coaching intervention around a mobile application for athletes to improve carbohydrate periodization behavior. Contemporary Clinical Trials Communications 2022;26:100899
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Jones AC, Grout L, Wilson N, Nghiem N, Cleghorn C. The Cost-effectiveness of a Mass Media Campaign to Promote Smartphone Apps for Weight Loss: Updated Modeling Study. JMIR Formative Research 2022;6(4):e29291
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Alaslawi H, Berrou I, Al Hamid A, Alhuwail D, Aslanpour Z. Diabetes Self-management Apps: Systematic Review of Adoption Determinants and Future Research Agenda. JMIR Diabetes 2022;7(3):e28153
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Kim E, Han S. Determinants of Continuance Intention to Use Health Apps among Users over 60: A Test of Social Cognitive Model. International Journal of Environmental Research and Public Health 2021;18(19):10367
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Ding MY, Wang W. Analysis of Factors Influencing We-Intention in Healthcare Applications Based on the AISAS Model. International Journal of Human–Computer Interaction 2023;:1
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Watson A, Wilkinson TM. Digital healthcare in COPD management: a narrative review on the advantages, pitfalls, and need for further research. Therapeutic Advances in Respiratory Disease 2022;16:175346662210754
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Fu S, Fang J, Cai Z, Lim ETK, Tan C, Yang H. Advancing health-related abilities and behaviors via health apps: a large-scale survey from self-regulation perspective. Internet Research 2022;32(4):1097
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. A Review of the Quality and Impact of Mobile Health Apps. Annual Review of Public Health 2022;43(1):117
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Greer DB, Abel WM. Exploring Feasibility of mHealth to Manage Hypertension in Rural Black Older Adults: A Convergent Parallel Mixed Method Study. Patient Preference and Adherence 2022;Volume 16:2135
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Cooper R, Giangreco A, Duffy M, Finlayson E, Hamilton S, Swanson M, Colligan J, Gilliatt J, McIvor M, Sage EK. Evaluation of myCOPD Digital Self-management Technology in a Remote and Rural Population: Real-world Feasibility Study. JMIR mHealth and uHealth 2022;10(2):e30782
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Syed F, Hassan M, Shehzad A, Koul SS, Arif MA, Dewey RS, Khaliq T. The establishment of a telemedicine center during the COVID-19 pandemic at a tertiary care hospital in Pakistan. Clinical eHealth 2021;4:50
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Kubb C, Foran HM. Online Health Information Seeking for Self and Child: An Experimental Study of Parental Symptom Search. JMIR Pediatrics and Parenting 2022;5(2):e29618
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Gosak L, Pajnkihar M, Stiglic G. The Impact of Mobile Health Use on the Self-care of Patients With Type 2 Diabetes: Protocol for a Randomized Controlled Trial. JMIR Research Protocols 2022;11(6):e31652
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Nicol GE, Jansen MO, Ricchio AR, Schweiger JA, Keenoy KE, Miller JP, Morrato EH, Guo Z, Evanoff BA, Parks JJ, Newcomer JW. Adaptation of a Mobile Interactive Obesity Treatment Approach for Early Severe Mental Illness: Protocol for a Mixed Methods Implementation and Pilot Randomized Controlled Trial. JMIR Research Protocols 2023;12:e42114
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Rozier M, Scroggins S, Loux T, Shacham E. Personal Location as Health-Related Data: Public Knowledge, Public Concern, and Personal Action. Value in Health 2023;26(9):1314
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Bo Y, Liu QB, Tong Y. The Effects of Adopting Mobile Health and Fitness Apps on Hospital Visits: Quasi-Experimental Study. Journal of Medical Internet Research 2023;25:e45681
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Mora N, Arvanitakis Z, Thomas M, Kramer H, Morrato EH, Markossian TW. Applying Customer Discovery Method to a Chronic Disease Self-Management Mobile App: Qualitative Study. JMIR Formative Research 2023;7:e50334
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Praha N, Sriyuktasuth A, Puwarawuttipanit W, Chuengsaman P, Kusakunniran W. Factors Influencing Telehealth Service Use and Health Outcomes in Patients Undergoing Continuous Ambulatory Peritoneal Dialysis: Cross-Sectional Study. Journal of Medical Internet Research 2023;25:e48623
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Shaw Jr G, Castro BA, Gunn LH, Norris K, Thorpe Jr RJ. The Association of eHealth Literacy Skills and mHealth Application Use Among US Adults With Obesity: Analysis of Health Information National Trends Survey Data. JMIR mHealth and uHealth 2024;12:e46656
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Fan S, Jain RC, Kankanhalli MS. A Comprehensive Picture of Factors Affecting User Willingness to Use Mobile Health Applications. ACM Transactions on Computing for Healthcare 2024;5(1):1
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He Y, Zhu W, Wang T, Chen H, Xin J, Liu Y, Lei J, Liang J. Mining user reviews from hypertension management mHealth Apps to explore user satisfaction influencing factors and their asymmetry: A comparative study (Preprint). JMIR mHealth and uHealth 2023;
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According to Crossref, the following books are citing this article (DOI 10.2196/mhealth.7832):
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. Handbook of Research on Optimizing Healthcare Management Techniques. 2020. chapter 25:338
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Edmunds M, Hass C, Holve E. Consumer Informatics and Digital Health. 2019. Chapter 20:377
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. Handbook of Diabetes Technology. 2019. Chapter 8:83
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Smith SN, Seewald NJ, Klasnja P. Digital Therapeutics for Mental Health and Addiction. 2023. :135
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Mars M, Scott RE. Integrity of Scientific Research. 2022. Chapter 28:281
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Keshavjee K, Johnston-Jewell D, Lee B, Kyba R. Smart and Pervasive Healthcare. 2022. Chapter 3
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. Sickle Cell Disease. 2022. Chapter 2
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Saprikis V, Vlachopoulou M. Operational Research in the Era of Digital Transformation and Business Analytics. 2023. Chapter 24:227
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. Ethics of Medical AI. 2024. Chapter 3:23
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