Published on 10.02.16 in Vol 4, No 1 (2016): Jan-Mar
Works citing "Interrater Reliability of mHealth App Rating Measures: Analysis of Top Depression and Smoking Cessation Apps"
According to Crossref, the following articles are citing this article (DOI 10.2196/mhealth.5176):
(note that this is only a small subset of citations)
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Ramos RM, Cheng PGF, Jonas SM. Validation of an mHealth App for Depression Screening and Monitoring (Psychologist in a Pocket): Correlational Study and Concurrence Analysis. JMIR mHealth and uHealth 2019;7(9):e12051
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Loeckx M, Rabinovich RA, Demeyer H, Louvaris Z, Tanner R, Rubio N, Frei A, De Jong C, Gimeno-Santos E, Rodrigues FM, Buttery SC, Hopkinson NS, Büsching G, Strassmann A, Serra I, Vogiatzis I, Garcia-Aymerich J, Polkey MI, Troosters T. Smartphone-Based Physical Activity Telecoaching in Chronic Obstructive Pulmonary Disease: Mixed-Methods Study on Patient Experiences and Lessons for Implementation. JMIR mHealth and uHealth 2018;6(12):e200
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Huckvale K, Torous J, Larsen ME. Assessment of the Data Sharing and Privacy Practices of Smartphone Apps for Depression and Smoking Cessation. JAMA Network Open 2019;2(4):e192542
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Ferretti A, Ronchi E, Vayena E. From principles to practice: benchmarking government guidance on health apps. The Lancet Digital Health 2019;1(2):e55
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Mercurio M, Larsen M, Wisniewski H, Henson P, Lagan S, Torous J. Longitudinal trends in the quality, effectiveness and attributes of highly rated smartphone health apps. Evidence Based Mental Health 2020;23(3):107
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Kumar S, Mehrotra S. Free mobile apps on depression for Indian users: A brief overview and critique. Asian Journal of Psychiatry 2017;28:124
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McKay FH, Wright A, Shill J, Stephens H, Uccellini M. Using Health and Well-Being Apps for Behavior Change: A Systematic Search and Rating of Apps. JMIR mHealth and uHealth 2019;7(7):e11926
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Perry K, Shearer E, Sylvers P, Carlile J, Felker B. mHealth 101: an Introductory Guide for Mobile Apps in Clinical Practice. Journal of Technology in Behavioral Science 2019;4(2):162
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Firth J, Torous J, Nicholas J, Carney R, Pratap A, Rosenbaum S, Sarris J. The efficacy of smartphone‐based mental health interventions for depressive symptoms: a meta‐analysis of randomized controlled trials. World Psychiatry 2017;16(3):287
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McKay FH, Slykerman S, Dunn M. The App Behavior Change Scale: Creation of a Scale to Assess the Potential of Apps to Promote Behavior Change. JMIR mHealth and uHealth 2019;7(1):e11130
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Anderson K, Burford O, Emmerton L. App Chronic Disease Checklist: Protocol to Evaluate Mobile Apps for Chronic Disease Self-Management. JMIR Research Protocols 2016;5(4):e204
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Maheu MM, Nicolucci V, Pulier ML, Wall KM, Frye TJ, Hudlicka E. The Interactive Mobile App Review Toolkit (IMART): a Clinical Practice-Oriented System. Journal of Technology in Behavioral Science 2016;1(1-4):3
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Brinker T, Alfitian J, Seeger W, Groneberg D, von Kalle C, Enk A, Herth F, Kreuter M, Bauer C, Gatzka M, Suhre J. A Face-Aging Smoking Prevention/Cessation Intervention for Nursery School Students in Germany: An Appearance-Focused Interventional Study. International Journal of Environmental Research and Public Health 2018;15(8):1656
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Dayer LE, Shilling R, Van Valkenburg M, Martin BC, Gubbins PO, Hadden K, Heldenbrand S. Assessing the Medication Adherence App Marketplace From the Health Professional and Consumer Vantage Points. JMIR mHealth and uHealth 2017;5(4):e45
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Alyami M, Giri B, Alyami H, Sundram F. Social anxiety apps: a systematic review and assessment of app descriptors across mobile store platforms. Evidence Based Mental Health 2017;20(3):65
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Torous J, Powell A, Knable MB. Quality Assessment of Self-Directed Software and Mobile Applications for the Treatment of Mental Illness. Psychiatric Annals 2016;46(10):579
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Guo Y, Yang F, Hu F, Li W, Ruggiano N, Lee HY. Existing Mobile Phone Apps for Self-Care Management of People With Alzheimer Disease and Related Dementias: Systematic Analysis. JMIR Aging 2020;3(1):e15290
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Wisniewski H, Liu G, Henson P, Vaidyam A, Hajratalli NK, Onnela J, Torous J. Understanding the quality, effectiveness and attributes of top-rated smartphone health apps. Evidence Based Mental Health 2019;22(1):4
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Torous J, Firth J, Huckvale K, Larsen ME, Cosco TD, Carney R, Chan S, Pratap A, Yellowlees P, Wykes T, Keshavan M, Christensen H. The Emerging Imperative for a Consensus Approach Toward the Rating and Clinical Recommendation of Mental Health Apps. Journal of Nervous & Mental Disease 2018;206(8):662
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Baumel A, Faber K, Mathur N, Kane JM, Muench F. Enlight: A Comprehensive Quality and Therapeutic Potential Evaluation Tool for Mobile and Web-Based eHealth Interventions. Journal of Medical Internet Research 2017;19(3):e82
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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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Jake-Schoffman DE, Silfee VJ, Waring ME, Boudreaux ED, Sadasivam RS, Mullen SP, Carey JL, Hayes RB, Ding EY, Bennett GG, Pagoto SL. Methods for Evaluating the Content, Usability, and Efficacy of Commercial Mobile Health Apps. JMIR mHealth and uHealth 2017;5(12):e190
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Powell AC, Yue Z, Shan C, Torous JB. The Monetization Strategies of Apps for Anxiety Management: an International Comparison. Journal of Technology in Behavioral Science 2019;4(2):67
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Siddique AB, Krebs M, Alvarez S, Greenspan I, Patel A, Kinsolving J, Koizumi N. Mobile Apps for the Care Management of Chronic Kidney and End-Stage Renal Diseases: Systematic Search in App Stores and Evaluation. JMIR mHealth and uHealth 2019;7(9):e12604
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Regmi D, Tobutt C, Shaban S. QUALITY AND USE OF FREE SMOKING CESSATION APPS FOR SMARTPHONES. International Journal of Technology Assessment in Health Care 2018;34(5):476
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Torous J, Rodriguez J, Powell A. The New Digital Divide For Digital Biomarkers. Digital Biomarkers 2017;1(1):87
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Bubolz S, Mayer G, Gronewold N, Hilbel T, Schultz J. Adherence to Established Treatment Guidelines Among Unguided Digital Interventions for Depression: Quality Evaluation of 28 Web-Based Programs and Mobile Apps. Journal of Medical Internet Research 2020;22(7):e16136
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Bernardes-Souza B, Patruz Ananias De Assis Pires F, Madeira GM, Felício Da Cunha Rodrigues T, Gatzka M, Heppt MV, Omlor AJ, Enk AH, Groneberg DA, Seeger W, von Kalle C, Berking C, Corrêa PCRP, Suhre JL, Alfitian J, Assis A, Brinker TJ. Facial-Aging Mobile Apps for Smoking Prevention in Secondary Schools in Brazil: Appearance-Focused Interventional Study. JMIR Public Health and Surveillance 2018;4(3):e10234
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Karcher NR, Presser NR. Ethical and Legal Issues Addressing the Use of Mobile Health (mHealth) as an Adjunct to Psychotherapy. Ethics & Behavior 2018;28(1):1
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Rubanovich CK, Mohr DC, Schueller SM. Health App Use Among Individuals With Symptoms of Depression and Anxiety: A Survey Study With Thematic Coding. JMIR Mental Health 2017;4(2):e22
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Qu C, Sas C, Daudén Roquet C, Doherty G. Functionality of Top-Rated Mobile Apps for Depression: Systematic Search and Evaluation. JMIR Mental Health 2020;7(1):e15321
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Bidargaddi N, Musiat P, Winsall M, Vogl G, Blake V, Quinn S, Orlowski S, Antezana G, Schrader G. Efficacy of a Web-Based Guided Recommendation Service for a Curated List of Readily Available Mental Health and Well-Being Mobile Apps for Young People: Randomized Controlled Trial. Journal of Medical Internet Research 2017;19(5):e141
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Larsen ME, Nicholas J, Christensen H. Quantifying App Store Dynamics: Longitudinal Tracking of Mental Health Apps. JMIR mHealth and uHealth 2016;4(3):e96
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Richardson B, Dol J, Rutledge K, Monaghan J, Orovec A, Howie K, Boates T, Smit M, Campbell-Yeo M. Evaluation of Mobile Apps Targeted to Parents of Infants in the Neonatal Intensive Care Unit: Systematic App Review. JMIR mHealth and uHealth 2019;7(4):e11620
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Emerson MR, Watanabe-Galloway S, Dinkel D, Kotcherlakota S, Fok L. Lessons Learned in Selection and Review of Depression Apps for Primary Care Settings. Journal of Technology in Behavioral Science 2021;6(1):42
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Rodriguez-Villa E, Torous J. Regulating digital health technologies with transparency: the case for dynamic and multi-stakeholder evaluation. BMC Medicine 2019;17(1)
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Camacho E, Hoffman L, Lagan S, Rodriguez-Villa E, Rauseo-Ricupero N, Wisniewski H, Henson P, Torous J. Technology Evaluation and Assessment Criteria for Health Apps (TEACH-Apps): Pilot Study. Journal of Medical Internet Research 2020;22(8):e18346
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Moshi MR, Tooher R, Merlin T. SUITABILITY OF CURRENT EVALUATION FRAMEWORKS FOR USE IN THE HEALTH TECHNOLOGY ASSESSMENT OF MOBILE MEDICAL APPLICATIONS: A SYSTEMATIC REVIEW. International Journal of Technology Assessment in Health Care 2018;34(5):464
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Nouri R, R Niakan Kalhori S, Ghazisaeedi M, Marchand G, Yasini M. Criteria for assessing the quality of mHealth apps: a systematic review. Journal of the American Medical Informatics Association 2018;25(8):1089
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Knitza J, Tascilar K, Messner E, Meyer M, Vossen D, Pulla A, Bosch P, Kittler J, Kleyer A, Sewerin P, Mucke J, Haase I, Simon D, Krusche M. German Mobile Apps in Rheumatology: Review and Analysis Using the Mobile Application Rating Scale (MARS). JMIR mHealth and uHealth 2019;7(8):e14991
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Hsin H, Torous J. Creating boundaries to empower digital health technology. BJPsych Open 2018;4(4):235
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Davis DW, Logsdon MC, Vogt K, Rushton J, Myers J, Lauf A, Hogan F. Parent Education is Changing. MCN: The American Journal of Maternal/Child Nursing 2017;42(5):248
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Baumel A, Kane JM. Examining Predictors of Real-World User Engagement with Self-Guided eHealth Interventions: Analysis of Mobile Apps and Websites Using a Novel Dataset. Journal of Medical Internet Research 2018;20(12):e11491
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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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Minen MT, Stieglitz EJ, Sciortino R, Torous J. Privacy Issues in Smartphone Applications: An Analysis of Headache/Migraine Applications. Headache: The Journal of Head and Face Pain 2018;58(7):1014
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Grau-Corral I, Pantoja PE, Grajales III FJ, Kostov B, Aragunde V, Puig-Soler M, Roca D, Couto E, Sisó-Almirall A. Assessing Apps for Health Care Workers Using the ISYScore-Pro Scale: Development and Validation Study. JMIR mHealth and uHealth 2021;9(7):e17660
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Miró J, Llorens-Vernet P. Assessing the Quality of Mobile Health-Related Apps: Interrater Reliability Study of Two Guides. JMIR mHealth and uHealth 2021;9(4):e26471
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Hensher M, Cooper P, Dona SWA, Angeles MR, Nguyen D, Heynsbergh N, Chatterton ML, Peeters A. Scoping review: Development and assessment of evaluation frameworks of mobile health apps for recommendations to consumers. Journal of the American Medical Informatics Association 2021;28(6):1318
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Agarwal P, Gordon D, Griffith J, Kithulegoda N, Witteman HO, Sacha Bhatia R, Kushniruk AW, Borycki EM, Lamothe L, Springall E, Shaw J. Assessing the quality of mobile applications in chronic disease management: a scoping review. npj Digital Medicine 2021;4(1)
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Raeesi A, Khajouei R, Ahmadian L. Evaluation of HIV/AIDS-related mobile health applications content using an evidence-based content rating tool. BMC Medical Informatics and Decision Making 2021;21(1)
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Kowatsch T, Otto L, Harperink S, Cotti A, Schlieter H. A design and evaluation framework for digital health interventions. it - Information Technology 2019;61(5-6):253
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Wilks CR, Chu C, Sim D, Lovell J, Gutierrez P, Joiner T, Kessler RC, Nock MK. User Engagement and Usability of Suicide Prevention Apps: Systematic Search in App Stores and Content Analysis. JMIR Formative Research 2021;5(7):e27018
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Neary M, Bunyi J, Palomares K, Mohr DC, Powell A, Ruzek J, Williams LM, Wykes T, Schueller SM. A process for reviewing mental health apps: Using the One Mind PsyberGuide Credibility Rating System. DIGITAL HEALTH 2021;7:205520762110536
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Biswas M, Tania MH, Kaiser MS, Kabir R, Mahmud M, Kemal AA, Rashid J. ACCU3RATE: A mobile health application rating scale based on user reviews. PLOS ONE 2021;16(12):e0258050
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AlSlaity A, Suruliraj B, Oyebode O, Fowles J, steeves D, Orji R. Mobile Applications for Health and Wellness: A Systematic Review. Proceedings of the ACM on Human-Computer Interaction 2022;6(EICS):1
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Cao J, Zhang G, Liu D. The Impact of Using mHealth Apps on Improving Public Health Satisfaction during the COVID-19 Pandemic: A Digital Content Value Chain Perspective. Healthcare 2022;10(3):479
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Spadaro B, Martin-Key NA, Funnell E, Bahn S. mHealth Solutions for Perinatal Mental Health: Scoping Review and Appraisal Following the mHealth Index and Navigation Database Framework. JMIR mHealth and uHealth 2022;10(1):e30724
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Mackey R, Gleason A, Ciulla R. A Novel Method for Evaluating Mobile Apps (App Rating Inventory): Development Study. JMIR mHealth and uHealth 2022;10(4):e32643
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Wang S, Lee HS, Choi W. A feature-oriented analysis of developers’ descriptions and user reviews of top mHealth applications for diabetes and hypertension. International Journal of Medical Informatics 2021;156:104598
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Ramos G, Ponting C, Labao JP, Sobowale K. Considerations of diversity, equity, and inclusion in mental health apps: A scoping review of evaluation frameworks. Behaviour Research and Therapy 2021;147:103990
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Evans K, Donelan J, Rennick-Egglestone S, Cox S, Kuipers Y. Review of Mobile Apps for Women With Anxiety in Pregnancy: Maternity Care Professionals’ Guide to Locating and Assessing Anxiety Apps. Journal of Medical Internet Research 2022;24(3):e31831
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MacPherson M, Bakker AM, Anderson K, Holtzman S. Do pain management apps use evidence-based psychological components? A systematic review of app content and quality. Canadian Journal of Pain 2022;6(1):33
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Li LSE, Wong LL, Yap KY. Quality evaluation of stress, anxiety and depression apps for COVID-19. Journal of Affective Disorders Reports 2021;6:100255
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Meddar JM, Ponnapalli A, Azhar R, Turchioe MR, Duran AT, Creber RM. A Structured Review of Commercially Available Cardiac Rehabilitation mHealth Applications Using the Mobile Application Rating Scale. Journal of Cardiopulmonary Rehabilitation and Prevention 2022;42(3):141
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According to Crossref, the following books are citing this article (DOI 10.2196/mhealth.5176):
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Péteri T, Varga N, Bokor L. eHealth 360°. 2017. Chapter 59:484
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Singh K, Landman AB. Key Advances in Clinical Informatics. 2017. :183
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David SK, Rafiullah M. Case Study of Innovative Projects - Successful Real Cases. 2017. Chapter 12
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Budney AJ, Borodovsky JT, Marsch LA, Lord SE. The Assessment and Treatment of Addiction. 2019. :75
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. Digital Mental Health. 2023. Chapter 9:149
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