Published on 02.11.16 in Vol 18, No 11 (2016): November
Works citing "Can Mobile Phone Apps Influence People’s Health Behavior Change? An Evidence Review"
According to Crossref, the following articles are citing this article (DOI 10.2196/jmir.5692):
(note that this is only a small subset of citations)
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Allen ME, Irizarry T, Einhorn J, Kamarck TW, Suffoletto BP, Burke LE, Rollman BL, Muldoon MF. SMS-facilitated home blood pressure monitoring: A qualitative analysis of resultant health behavior change. Patient Education and Counseling 2019;102(12):2246
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Sawares AS, Shen N, Xue Y, Abi-Jaoude A, Wiljer D. The Impact of Mobile Apps on Alcohol Use Disorder: A Systematic Review Protocol. JMIR Research Protocols 2017;6(4):e49
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Jones F, Whitehouse A, Dopson A, Palaghias N, Aldiss S, Gibson F, Shawe J. Reducing unintentional injuries in under fives: Development and testing of a mobile phone app. Child: Care, Health and Development 2020;46(2):203
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Wiecek E, Torres-Robles A, Cutler RL, Benrimoj SI, Garcia-Cardenas V. Impact of a Multicomponent Digital Therapeutic Mobile App on Medication Adherence in Patients with Chronic Conditions: Retrospective Analysis. Journal of Medical Internet Research 2020;22(8):e17834
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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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Adu MD, Malabu UH, Malau-Aduli AE, Drovandi A, Malau-Aduli BS. User Retention and Engagement With a Mobile App Intervention to Support Self-Management in Australians With Type 1 or Type 2 Diabetes (My Care Hub): Mixed Methods Study. JMIR mHealth and uHealth 2020;8(6):e17802
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Nwolise CH, Carey N, Shawe J. Exploring the acceptability and feasibility of a preconception and diabetes information app for women with pregestational diabetes: A mixed-methods study protocol. DIGITAL HEALTH 2017;3
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Whittaker R, McRobbie H, Bullen C, Rodgers A, Gu Y, Dobson R. Mobile phone text messaging and app-based interventions for smoking cessation. Cochrane Database of Systematic Reviews 2019;
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Tavares BF, Pires IM, Marques G, Garcia NM, Zdravevski E, Lameski P, Trajkovik V, Jevremovic A. Mobile Applications for Training Plan Using Android Devices: A Systematic Review and a Taxonomy Proposal. Information 2020;11(7):343
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Roberts KJ, McAdams RJ, Kristel OV, Szymanski AM, McKenzie LB. Qualitative and Quantitative Evaluation of the Make Safe Happen App: Mobile Technology–Based Safety Behavior Change Intervention for Parents. JMIR Pediatrics and Parenting 2019;2(1):e12022
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Arevian AC, O'Hora J, Rosser J, Mango JD, Miklowitz DJ, Wells KB. Patient and Provider Cocreation of Mobile Texting Apps to Support Behavioral Health: Usability Study. JMIR mHealth and uHealth 2020;8(7):e12655
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Karasneh RA, Al-Azzam SI, Alzoubi KH, Muflih SM, Hawamdeh SS. Smartphone Applications for Period Tracking: Rating and Behavioral Change among Women Users. Obstetrics and Gynecology International 2020;2020:1
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Clarke P, Evans SH, Neffa-Creech D. Mobile app increases vegetable-based preparations by low-income household cooks: a randomized controlled trial. Public Health Nutrition 2019;22(4):714
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Ng K, Tynjälä J, Kokko S. Ownership and Use of Commercial Physical Activity Trackers Among Finnish Adolescents: Cross-Sectional Study. JMIR mHealth and uHealth 2017;5(5):e61
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Buis LR, McCant FA, Gierisch JM, Bastian LA, Oddone EZ, Richardson CR, Kim HM, Evans R, Hooks G, Kadri R, White-Clark C, Damschroder LJ. Understanding the Effect of Adding Automated and Human Coaching to a Mobile Health Physical Activity App for Afghanistan and Iraq Veterans: Protocol for a Randomized Controlled Trial of the Stay Strong Intervention. JMIR Research Protocols 2019;8(1):e12526
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Gallagher R, Parker H, Zhang L, Kirkness A, Roach K, Belshaw J, Glinatsis H, Gallagher P, Neubeck L. Target Audience and Preferences Related to an Australian Coronary Heart Disease Specific Mobile App: A Mixed Methods Study. Heart, Lung and Circulation 2020;29(5):696
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Fischer T, Stumpf P, Reinhardt G, Schwarz PEH, Timpel P. Video-based smartphone app (‘VIDEA bewegt’) for physical activity support in German adults: a study protocol for a single-armed observational study. BMJ Open 2020;10(3):e034027
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Vergani L, Marton G, Pizzoli SFM, Monzani D, Mazzocco K, Pravettoni G. Training Cognitive Functions Using Mobile Apps in Breast Cancer Patients: Systematic Review. JMIR mHealth and uHealth 2019;7(3):e10855
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O'Reilly SL, Laws R. Health‐e mums: Evaluating a smartphone app design for diabetes prevention in women with previous gestational diabetes. Nutrition & Dietetics 2019;76(5):507
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Gilljam B, Nygren JM, Svedberg P, Arvidsson S. Impact of an Electronic Health Service on Child Participation in Pediatric Oncology Care: Quasiexperimental Study. Journal of Medical Internet Research 2020;22(7):e17673
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Tait RJ, Kirkman JJL, Schaub MP. A Participatory Health Promotion Mobile App Addressing Alcohol Use Problems (The Daybreak Program): Protocol for a Randomized Controlled Trial. JMIR Research Protocols 2018;7(5):e148
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Schoeppe S, Alley S, Van Lippevelde W, Bray NA, Williams SL, Duncan MJ, Vandelanotte C. Efficacy of interventions that use apps to improve diet, physical activity and sedentary behaviour: a systematic review. International Journal of Behavioral Nutrition and Physical Activity 2016;13(1)
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Cawley C, Buckenmeyer H, Jellison T, Rinaldi JB, Vartanian KB. Effect of a Health System–Sponsored Mobile App on Perinatal Health Behaviors: Retrospective Cohort Study. JMIR mHealth and uHealth 2020;8(7):e17183
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Zhang H, Gil TS, Kang E. A feasibility study of Korean Mobile Application Rating Scale (MARS) for evaluating the quality of blood pressure management apps. Korean Journal of Health Education and Promotion 2018;35(3):41
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Peng C, He M, Cutrona SL, Kiefe CI, Liu F, Wang Z. Theme Trends and Knowledge Structure on Mobile Health Apps: Bibliometric Analysis. JMIR mHealth and uHealth 2020;8(7):e18212
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Schellong J, Lorenz P, Weidner K. Proposing a standardized, step-by-step model for creating post-traumatic stress disorder (PTSD) related mobile mental health apps in a framework based on technical and medical norms. European Journal of Psychotraumatology 2019;10(1)
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Stec M, Arbour MW. Wellness and Disease Self-Management Mobile Health Apps Evaluated by the Mobile Application Rating Scale. Advances in Family Practice Nursing 2020;2:87
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van Heerden A, Sen D, Desmond C, Louw J, Richter L. App-Supported Promotion of Child Growth and Development by Community Health Workers in Kenya: Feasibility and Acceptability Study. JMIR mHealth and uHealth 2017;5(12):e182
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Jones A, Mitchell LJ, O'Connor R, Rollo ME, Slater K, Williams LT, Ball L. Investigating the Perceptions of Primary Care Dietitians on the Potential for Information Technology in the Workplace: Qualitative Study. Journal of Medical Internet Research 2018;20(10):e265
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Vera-Jiménez JC, Ferreiro-González M, Barbero GF, Álvarez J, Fernández-Zacarías F, Ayuso J. OTP-PRL: an app for occupational risk prevention in policing activities. BMC Public Health 2019;19(1)
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Long S, Hasenfuß G, Raupach T. Apps in der Inneren Medizin. Der Internist 2019;60(4):324
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Huebner J, Fleisch E, Ilic A. Assisting mental accounting using smartphones: Increasing the salience of credit card transactions helps consumer reduce their spending. Computers in Human Behavior 2020;113:106504
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. A Practical Guide for Health Service Providers on the Design, Development, and Deployment of Smartphone Apps for the Delivery of Clinical Services. Journal of Technology in Behavioral Science 2020;5(1):1
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Short CE, Finlay A, Sanders I, Maher C. Development and pilot evaluation of a clinic-based mHealth app referral service to support adult cancer survivors increase their participation in physical activity using publicly available mobile apps. BMC Health Services Research 2018;18(1)
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Hamel LM, Thompson HS, Albrecht TL, Harper FW. Designing and Testing Apps to Support Patients With Cancer: Looking to Behavioral Science to Lead the Way. JMIR Cancer 2019;5(1):e12317
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Templeton JM, Poellabauer C, Schneider S. Enhancement of Neurocognitive Assessments Using Smartphone Capabilities: Systematic Review. JMIR mHealth and uHealth 2020;8(6):e15517
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Lawn S, Van Agteren J, Zabeen S, Bertossa S, Barton C, Stewart J. Adapting, Pilot Testing and Evaluating the Kick.it App to Support Smoking Cessation for Smokers with Severe Mental Illness: A Study Protocol. International Journal of Environmental Research and Public Health 2018;15(2):254
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Wu M, Wu SV, Lee M, Peng L, Tsao L, Lee W. Health-promotion interventions enhance and maintain self-efficacy for adults at cardiometabolic risk: A randomized controlled trial. Archives of Gerontology and Geriatrics 2019;82:61
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Petersen JM, Prichard I, Kemps E. A Comparison of Physical Activity Mobile Apps With and Without Existing Web-Based Social Networking Platforms: Systematic Review. Journal of Medical Internet Research 2019;21(8):e12687
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Szinay D, Jones A, Chadborn T, Brown J, Naughton F. Influences on the Uptake of and Engagement With Health and Well-Being Smartphone Apps: Systematic Review. Journal of Medical Internet Research 2020;22(5):e17572
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Ogrin R, Viswanathan R, Aylen T, Wallace F, Scott J, Kumar D. Co‐design of an evidence‐based health education diabetes foot app to prevent serious foot complications: a feasibility study. Practical Diabetes 2018;35(6):203
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Bol N, Høie NM, Nguyen MH, Smit ES. Customization in mobile health apps: explaining effects on physical activity intentions by the need for autonomy. DIGITAL HEALTH 2019;5
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Milne-Ives M, Lam C, De Cock C, Van Velthoven MH, Meinert E. Mobile Apps for Health Behavior Change in Physical Activity, Diet, Drug and Alcohol Use, and Mental Health: Systematic Review. JMIR mHealth and uHealth 2020;8(3):e17046
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Myrnerts Höök S, Pejovic NJ, Marrone G, Tylleskär T, Alfvén T. Accurate and fast neonatal heart rate assessment with a smartphone‐based application – a manikin study. Acta Paediatrica 2018;107(9):1548
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Delmas MA, Kohli A. Can Apps Make Air Pollution Visible? Learning About Health Impacts Through Engagement with Air Quality Information. Journal of Business Ethics 2020;161(2):279
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Zawati MH, Lang M. Mind the App: Considerations for the Future of Mobile Health in Canada. JMIR mHealth and uHealth 2019;7(11):e15301
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Damschroder LJ, Buis LR, McCant FA, Kim HM, Evans R, Oddone EZ, Bastian LA, Hooks G, Kadri R, White-Clark C, Richardson CR, Gierisch JM. Effect of Adding Telephone-Based Brief Coaching to an mHealth App (Stay Strong) for Promoting Physical Activity Among Veterans: Randomized Controlled Trial. Journal of Medical Internet Research 2020;22(8):e19216
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Griauzde DH, Kullgren JT, Liestenfeltz B, Richardson C, Heisler M. A mobile phone-based program to promote healthy behaviors among adults with prediabetes: study protocol for a pilot randomized controlled trial. Pilot and Feasibility Studies 2018;4(1)
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Bidargaddi N, Pituch T, Maaieh H, Short C, Strecher V. Predicting which type of push notification content motivates users to engage in a self-monitoring app. Preventive Medicine Reports 2018;11:267
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Moran C, Zetler E. A review of smartphone applications for promoting sun protection practices. Journal of the American Academy of Dermatology 2019;81(2):613
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Chapman E, Haby MM, Toma TS, de Bortoli MC, Illanes E, Oliveros MJ, Barreto JOM. Knowledge translation strategies for dissemination with a focus on healthcare recipients: an overview of systematic reviews. Implementation Science 2020;15(1)
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Bishop FM, Rodriquez Orjuela JL. Toward the prevention of alcohol use disorders: Overdrinking (unintentional binge drinking) in a community sample. Health Psychology Open 2018;5(2)
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. Assessing quality of glycemic control: Hypo- and hyperglycemia, and glycemic variability using mobile self-monitoring of blood glucose system. Health Informatics Journal 2020;26(1):287
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Glattacker M, Boeker M, Anger R, Reichenbach F, Tassoni A, Bredenkamp R, Giesler JM. Evaluation of a Mobile Phone App for Patients With Pollen-Related Allergic Rhinitis: Prospective Longitudinal Field Study. JMIR mHealth and uHealth 2020;8(4):e15514
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. Does Digital Detox Work? Exploring the Role of Digital Detox Applications for Problematic Smartphone Use and Well-Being of Young Adults Using Multigroup Analysis. Cyberpsychology, Behavior, and Social Networking 2020;23(8):526
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Arevian AC, Bone D, Malandrakis N, Martinez VR, Wells KB, Miklowitz DJ, Narayanan S, Scilingo EP. Clinical state tracking in serious mental illness through computational analysis of speech. PLOS ONE 2020;15(1):e0225695
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Patel D, Sarlati S, Martin-Tuite P, Feler J, Chehab L, Texada M, Marquez R, Orellana FJ, Henderson TL, Nwabuo A, Plevin R, Dicker RA, Juillard C, Sammann A. Designing an Information and Communications Technology Tool With and for Victims of Violence and Their Case Managers in San Francisco: Human-Centered Design Study. JMIR mHealth and uHealth 2020;8(8):e15866
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Eckerstorfer LV, Tanzer NK, Vogrincic-Haselbacher C, Kedia G, Brohmer H, Dinslaken I, Corcoran K. Key Elements of mHealth Interventions to Successfully Increase Physical Activity: Meta-Regression. JMIR mHealth and uHealth 2018;6(11):e10076
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Mork PJ, Bach K. A Decision Support System to Enhance Self-Management of Low Back Pain: Protocol for the selfBACK Project. JMIR Research Protocols 2018;7(7):e167
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Clement I, Lorenz A, Ulm B, Plidschun A, Huber S. Implementing Systematically Collected User Feedback to Increase User Retention in a Mobile App for Self-Management of Low Back Pain: Retrospective Cohort Study. JMIR mHealth and uHealth 2018;6(6):e10422
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Ji X, Hu L, Wang Y, Luo Y, Zhu J, Zhang J, Khan MA, Huang F. “Mobile Health” for the Management of Spondyloarthritis and Its Application in China. Current Rheumatology Reports 2019;21(11)
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Weber S, Lorenz C, Hemmings N. Improving Stress and Positive Mental Health at Work via an App-Based Intervention: A Large-Scale Multi-Center Randomized Control Trial. Frontiers in Psychology 2019;10
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Haddad H, de Nazelle A. The role of personal air pollution sensors and smartphone technology in changing travel behaviour. Journal of Transport & Health 2018;11:230
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Imschloss M, Lorenz J. How Mobile App Design Impacts User Responses to Mixed Self-Tracking Outcomes: Randomized Online Experiment to Explore the Role of Spatial Distance for Hedonic Editing. JMIR mHealth and uHealth 2018;6(4):e81
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Oka R, Nomura A, Yasugi A, Kometani M, Gondoh Y, Yoshimura K, Yoneda T. Study Protocol for the Effects of Artificial Intelligence (AI)-Supported Automated Nutritional Intervention on Glycemic Control in Patients with Type 2 Diabetes Mellitus. Diabetes Therapy 2019;10(3):1151
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Pérez-Jover V, Sala-González M, Guilabert M, Mira JJ. Mobile Apps for Increasing Treatment Adherence: Systematic Review. Journal of Medical Internet Research 2019;21(6):e12505
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Gance-Cleveland B, McDonald CC, Walker RK. Use of theory to guide development and application of sensor technologies in Nursing. Nursing Outlook 2020;68(6):698
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Aoyagi S, Le Y, Shimizu T, Takahashi K. Mobile Application to Provide Traffic Congestion Estimates and Tourism Spots to Promote Additional Stopovers. Future Internet 2020;12(5):83
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Balk-Møller NC, Larsen TM, Holm L. Experiences From a Web- and App-Based Workplace Health Promotion Intervention Among Employees in the Social and Health Care Sector Based on Use-Data and Qualitative Interviews. Journal of Medical Internet Research 2017;19(10):e350
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Ryan B, King R. How ready is ready? Measuring physical preparedness for severe storms. Natural Hazards 2020;104(1):171
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Mueller J, Davies A, Jay C, Harper S, Blackhall F, Summers Y, Harle A, Todd C. Developing and testing a web‐based intervention to encourage early help‐seeking in people with symptoms associated with lung cancer. British Journal of Health Psychology 2019;24(1):31
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Giannoula E, Iakovou I, Katsikavelas I, Antoniou P, Raftopoulos V, Chatzipavlidou V, Papadopoulos N, Bamidis P. A Mobile App for Thyroid Cancer Patients Aiming to Enhance Their Quality of Life: Protocol for a Quasiexperimental Interventional Pilot Study. JMIR Research Protocols 2020;9(3):e13409
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Chen Y, Wu F, Wu Y, Li J, Yue P, Deng Y, Lamb KV, Fong S, Liu Y, Zhang Y. Development of interventions for an intelligent and individualized mobile health care system to promote healthy diet and physical activity: using an intervention mapping framework. BMC Public Health 2019;19(1)
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Rhea CK, Felsberg DT, Maher JP. Toward Evidence-Based Smartphone Apps to Enhance Human Health: Adoption of Behavior Change Techniques. American Journal of Health Education 2018;49(4):210
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Xie Z, Nacioglu A, Or C. Prevalence, Demographic Correlates, and Perceived Impacts of Mobile Health App Use Amongst Chinese Adults: Cross-Sectional Survey Study. JMIR mHealth and uHealth 2018;6(4):e103
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Thies K, Anderson D, Cramer B. Lack of Adoption of a Mobile App to Support Patient Self-Management of Diabetes and Hypertension in a Federally Qualified Health Center: Interview Analysis of Staff and Patients in a Failed Randomized Trial. JMIR Human Factors 2017;4(4):e24
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Poudyal A, van Heerden A, Hagaman A, Maharjan SM, Byanjankar P, Subba P, Kohrt BA. Wearable Digital Sensors to Identify Risks of Postpartum Depression and Personalize Psychological Treatment for Adolescent Mothers: Protocol for a Mixed Methods Exploratory Study in Rural Nepal. JMIR Research Protocols 2019;8(8):e14734
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CHOI JY, CHOI H, SEOMUN G, KIM EJ. Mobile-Application-Based Interventions for Patients With Hypertension and Ischemic Heart Disease: A Systematic Review. Journal of Nursing Research 2020;28(5):e117
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Hooglugt F, Ludden GDS. A Mobile App Adopting an Identity Focus to Promote Physical Activity (MoveDaily): Iterative Design Study. JMIR mHealth and uHealth 2020;8(6):e16720
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Taki S, Lymer S, Russell CG, Campbell K, Laws R, Ong K, Elliott R, Denney-Wilson E. Assessing User Engagement of an mHealth Intervention: Development and Implementation of the Growing Healthy App Engagement Index. JMIR mHealth and uHealth 2017;5(6):e89
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Kellett S, Easton KUOSB, Cooper M, Millings A, Simmonds-Buckley M, Parry G. Evaluation of a Mobile App to Enhance Relational Awareness and Change during Cognitive Analytic Therapy (CAT): A Mixed-Methods Case Series (Preprint). JMIR Mental Health 2020;
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Fleming GA, Petrie JR, Bergenstal RM, Holl RW, Peters AL, Heinemann L. Diabetes digital app technology: benefits, challenges, and recommendations. A consensus report by the European Association for the Study of Diabetes (EASD) and the American Diabetes Association (ADA) Diabetes Technology Working Group. Diabetologia 2020;63(2):229
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Leung L, Chen C. E-health/m-health adoption and lifestyle improvements: Exploring the roles of technology readiness, the expectation-confirmation model, and health-related information activities. Telecommunications Policy 2019;43(6):563
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Fadda M, Galimberti E, Fiordelli M, Romanò L, Zanetti A, Schulz PJ. Effectiveness of a smartphone app to increase parents' knowledge and empowerment in the MMR vaccination decision: A randomized controlled trial. Human Vaccines & Immunotherapeutics 2017;13(11):2512
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Mollard E, Michaud K. Mobile Apps for Rheumatoid Arthritis. Rheumatic Disease Clinics of North America 2019;45(2):197
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Sutherland R, Brown A, Nathan N, Janssen L, Reynolds R, Walton A, Hudson N, Chooi A, Yoong S, Wiggers J, Bailey A, Evans N, Gillham K, Oldmeadow C, Searles A, Reeves P, Rissel C, Davies M, Reilly K, Cohen B, McCallum T, Wolfenden L. Protocol for an effectiveness- implementation hybrid trial to assess the effectiveness and cost-effectiveness of an m-health intervention to decrease the consumption of discretionary foods packed in school lunchboxes: the ‘SWAP IT’ trial. BMC Public Health 2019;19(1)
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Shakibnia EB, Timmons SE, Gold MA, Garbers S. “It's Pretty Hard to Tell Your Mom and Dad That You're on a Method”: Exploring How an App Could Promote Adolescents' Communication with Partners and Parent(s) to Increase Self-Efficacy in Long-Acting Reversible Contraception Use. Journal of Pediatric and Adolescent Gynecology 2018;31(2):116
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Huang H, Gartner G, Krisp JM, Raubal M, Van de Weghe N. Location based services: ongoing evolution and research agenda. Journal of Location Based Services 2018;12(2):63
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MacPherson MM, Merry KJ, Locke SR, Jung ME. Effects of Mobile Health Prompts on Self-Monitoring and Exercise Behaviors Following a Diabetes Prevention Program: Secondary Analysis From a Randomized Controlled Trial. JMIR mHealth and uHealth 2019;7(9):e12956
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Petersen F, Brown A, Pather S, Tucker WD. Challenges for the adoption of ICT for diabetes self‐management in South Africa. THE ELECTRONIC JOURNAL OF INFORMATION SYSTEMS IN DEVELOPING COUNTRIES 2020;86(5)
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De Bruijn G, Dallinga JM, Deutekom M. Predictors of Walking App Users With Comparison of Current Users, Previous Users, and Informed Nonusers in a Sample of Dutch Adults: Questionnaire Study. JMIR mHealth and uHealth 2021;9(5):e13391
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Biviji R, Vest JR, Dixon BE, Cullen T, Harle CA. Content analysis of behavior change techniques in maternal and infant health apps. Translational Behavioral Medicine 2021;11(2):504
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. 3MD for Chronic Conditions, a Model for Motivational mHealth Design: Embedded Case Study. JMIR Serious Games 2018;6(3):e11631
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De Nunzio C, Lombardo R, Tema G, Cancrini F, Russo GI, Chacon R, Garcia-Cruz E, Ribal MJ, Morgia G, Alcaraz A, Tubaro A. Mobile phone apps for the prediction of prostate cancer: External validation of the Coral and Rotterdam apps. European Journal of Surgical Oncology 2019;45(3):471
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Nwolise CH, Carey N, Shawe J. Exploratory study of clinician and patient views regarding the use of a preconception care app for women with diabetes. Health Informatics Journal 2020;26(4):2673
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Griauzde D, Kullgren JT, Liestenfeltz B, Ansari T, Johnson EH, Fedewa A, Saslow LR, Richardson C, Heisler M. A Mobile Phone-Based Program to Promote Healthy Behaviors Among Adults With Prediabetes Who Declined Participation in Free Diabetes Prevention Programs: Mixed-Methods Pilot Randomized Controlled Trial. JMIR mHealth and uHealth 2019;7(1):e11267
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Albury K, Byron P, Shaw F. Introduction: The Will to App: digitising public health. Media International Australia 2019;171(1):3
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Rohani DA, Faurholt-Jepsen M, Kessing LV, Bardram JE. Correlations Between Objective Behavioral Features Collected From Mobile and Wearable Devices and Depressive Mood Symptoms in Patients With Affective Disorders: Systematic Review. JMIR mHealth and uHealth 2018;6(8):e165
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Carrasco-Hernandez L, Jódar-Sánchez F, Núñez-Benjumea F, Moreno Conde J, Mesa González M, Civit-Balcells A, Hors-Fraile S, Parra-Calderón CL, Bamidis PD, Ortega-Ruiz F. A Mobile Health Solution Complementing Psychopharmacology-Supported Smoking Cessation: Randomized Controlled Trial. JMIR mHealth and uHealth 2020;8(4):e17530
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Edwards EA, Caton H, Lumsden J, Rivas C, Steed L, Pirunsarn Y, Jumbe S, Newby C, Shenvi A, Mazumdar S, Smith JQ, Greenhill D, Griffiths CJ, Walton RT. Creating a Theoretically Grounded, Gamified Health App: Lessons From Developing the Cigbreak Smoking Cessation Mobile Phone Game. JMIR Serious Games 2018;6(4):e10252
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Abrahams M, Matusheski NV. Personalised nutrition technologies: a new paradigm for dietetic practice and training in a digital transformation era. Journal of Human Nutrition and Dietetics 2020;33(3):295
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. Behavior Change Techniques in Apps: Moving Beyond Patient Education to Improve Health Outcomes. AACN Advanced Critical Care 2020;31(1):12
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Delmas MA, Kohli A. Can Apps Make Air Pollution Visible? User Engagement with Air Quality Information. SSRN Electronic Journal 2019;
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Lee M, Lee H, Kim Y, Kim J, Cho M, Jang J, Jang H. Mobile App-Based Health Promotion Programs: A Systematic Review of the Literature. International Journal of Environmental Research and Public Health 2018;15(12):2838
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Ali RA, Alnuaimi KM, Al‐Jarrah IA. Examining the associations between smartphone use and mother–infant bonding and family functioning: A survey design. Nursing & Health Sciences 2020;22(2):235
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Abel Mangueira FF, Smania‐Marques R, Dutra Fernandes I, Alves Albino V, Olinda R, Acácia Santos‐Silva T, Traxler J, Matheson D, Santos S. The prevention of arboviral diseases using mobile devices: a preliminary study of the attitudes and behaviour change produced by educational interventions. Tropical Medicine & International Health 2019;24(12):1411
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Fleming GA, Petrie JR, Bergenstal RM, Holl RW, Peters AL, Heinemann L. Diabetes Digital App Technology: Benefits, Challenges, and Recommendations. A Consensus Report by the European Association for the Study of Diabetes (EASD) and the American Diabetes Association (ADA) Diabetes Technology Working Group. Diabetes Care 2020;43(1):250
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Mehdi M, Riha C, Neff P, Dode A, Pryss R, Schlee W, Reichert M, Hauck FJ. Smartphone Apps in the Context of Tinnitus: Systematic Review. Sensors 2020;20(6):1725
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Roberts AL, Fisher A, Smith L, Heinrich M, Potts HWW. Digital health behaviour change interventions targeting physical activity and diet in cancer survivors: a systematic review and meta-analysis. Journal of Cancer Survivorship 2017;11(6):704
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Hyatt A, Lipson-Smith R, Morkunas B, Krishnasamy M, Jefford M, Baxter K, Gough K, Murphy D, Drosdowsky A, Phipps-Nelson J, White F, White A, Serong L, McDonald G, Milne D. Testing Consultation Recordings in a Clinical Setting With the SecondEars Smartphone App: Mixed Methods Implementation Study. JMIR mHealth and uHealth 2020;8(1):e15593
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Khamzina M, Parab KV, An R, Bullard T, Grigsby-Toussaint DS. Impact of Pokémon Go on Physical Activity: A Systematic Review and Meta-Analysis. American Journal of Preventive Medicine 2020;58(2):270
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Sandal LF, Stochkendahl MJ, Svendsen MJ, Wood K, Øverås CK, Nordstoga AL, Villumsen M, Rasmussen CDN, Nicholl B, Cooper K, Kjaer P, Mair FS, Sjøgaard G, Nilsen TIL, Hartvigsen J, Bach K, Mork PJ, Søgaard K. An App-Delivered Self-Management Program for People With Low Back Pain: Protocol for the selfBACK Randomized Controlled Trial. JMIR Research Protocols 2019;8(12):e14720
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Bender MS, Cooper BA, Park LG, Padash S, Arai S. A Feasible and Efficacious Mobile-Phone Based Lifestyle Intervention for Filipino Americans with Type 2 Diabetes: Randomized Controlled Trial. JMIR Diabetes 2017;2(2):e30
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Brandt LR, Hidalgo L, Diez-Canseco F, Araya R, Mohr DC, Menezes PR, Miranda JJ. Addressing Depression Comorbid With Diabetes or Hypertension in Resource-Poor Settings: A Qualitative Study About User Perception of a Nurse-Supported Smartphone App in Peru. JMIR Mental Health 2019;6(6):e11701
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