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Citing this Article

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Published on 10.06.16 in Vol 4, No 2 (2016): Apr-Jun

This paper is in the following e-collection/theme issue:

Works citing "Development and Validation of the User Version of the Mobile Application Rating Scale (uMARS)"

Stoyan R Stoyanov, Leanne Hides, David J Kavanagh, Hollie Wilson

JMIR Mhealth Uhealth 2016 (Jun 10); 4(2):e72 

According to Crossref, the following articles are citing this article (DOI 10.2196/mhealth.5849):

(note that this is only a small subset of citations)

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  15. Kim BY, Sharafoddini A, Tran N, Wen EY, Lee J. Consumer Mobile Apps for Potential Drug-Drug Interaction Check: Systematic Review and Content Analysis Using the Mobile App Rating Scale (MARS). JMIR mHealth and uHealth 2018;6(3):e74
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  16. Panatto D, Domnich A, Gasparini R, Bonanni P, Icardi G, Amicizia D, Arata L, Carozzo S, Signori A, Bechini A, Boccalini S. An eHealth Project on Invasive Pneumococcal Disease: Comprehensive Evaluation of a Promotional Campaign. Journal of Medical Internet Research 2016;18(12):e316
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  23. Furlonger BE, Chung J, Ostojic M, Busacca M, Moore DW, Anderson AA, Phillips K, D’Souza L. Ways in which school psychologists can identify suitable apps for supporting the self-management of asthma by students. The Educational and Developmental Psychologist 2020;37(1):47
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  24. Shakespeare-Finch J, Alichniewicz KK, Strodl E, Brown K, Quinn C, Hides L, White A, Gossage G, Poerio L, Batras D, Jackson S, Styles J, Kavanagh D. Experiences of Serving and Ex-Serving Members With the PTSD Coach Australia App: Mixed Methods Study. Journal of Medical Internet Research 2020;22(10):e18447
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  25. Choi SK, Yelton B, Ezeanya VK, Kannaley K, Friedman DB. Review of the Content and Quality of Mobile Applications About Alzheimer’s Disease and Related Dementias. Journal of Applied Gerontology 2020;39(6):601
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  26. Fakih El Khoury C, Crutzen R, Schols JMGA, Halfens RJG, Karavetian M. A Dietary Mobile App for Patients Undergoing Hemodialysis: Prospective Pilot Study to Improve Dietary Intakes. Journal of Medical Internet Research 2020;22(7):e17817
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  27. Amor-García M, Collado-Borrell R, Escudero-Vilaplana V, Melgarejo-Ortuño A, Herranz-Alonso A, Arranz Arija J, Sanjurjo-Sáez M. Assessing Apps for Patients with Genitourinary Tumors Using the Mobile Application Rating Scale (MARS): Systematic Search in App Stores and Content Analysis. JMIR mHealth and uHealth 2020;8(7):e17609
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  28. Serlachius A, Schache K, Kieser A, Arroll B, Petrie K, Dalbeth N. Association Between User Engagement of a Mobile Health App for Gout and Improvements in Self-Care Behaviors: Randomized Controlled Trial. JMIR mHealth and uHealth 2019;7(8):e15021
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  29. Stec MA, Arbour MW, Hines HF. Client‐Centered Mobile Health Care Applications: Using the Mobile Application Rating Scale Instrument for Evidence‐Based Evaluation. Journal of Midwifery & Women's Health 2019;64(3):324
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  30. Bell IH, Alvarez-Jimenez M. Digital Technology to Enhance Clinical Care of Early Psychosis. Current Treatment Options in Psychiatry 2019;6(3):256
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  31. Hoffman L, Benedetto E, Huang H, Grossman E, Kaluma D, Mann Z, Torous J. Augmenting Mental Health in Primary Care: A 1-Year Study of Deploying Smartphone Apps in a Multi-site Primary Care/Behavioral Health Integration Program. Frontiers in Psychiatry 2019;10
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  32. Darras KE, van Merriënboer JJG, Toom M, Roberson ND, de Bruin ABH, Nicolaou S, Forster BB. Developing the Evidence Base for M-Learning in Undergraduate Radiology Education: Identifying Learner Preferences for Mobile Apps. Canadian Association of Radiologists Journal 2019;70(3):320
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  33. Davis A, Ellis R. A quasi-experimental investigation of college students’ ratings of two physical activity mobile apps with varied behavior change technique quantity. DIGITAL HEALTH 2019;5:205520761989134
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  34. 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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  35. Bakker D, Rickard N. Engagement in mobile phone app for self-monitoring of emotional wellbeing predicts changes in mental health: MoodPrism. Journal of Affective Disorders 2018;227:432
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  36. Wright JH, Mishkind M, Eells TD, Chan SR. Computer-Assisted Cognitive-Behavior Therapy and Mobile Apps for Depression and Anxiety. Current Psychiatry Reports 2019;21(7)
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  37. Rathnayake S, Moyle W, Jones CJ, Calleja P. Development of an mHealth application for family carers of people with dementia: A study protocol. Collegian 2019;26(2):295
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  38. Soomro N, Chhaya M, Soomro M, Asif N, Saurman E, Lyle D, Sanders R. Design, Development, and Evaluation of an Injury Surveillance App for Cricket: Protocol and Qualitative Study. JMIR mHealth and uHealth 2019;7(1):e10978
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  39. Walsh JC, Groarke JM. Integrating Behavioral Science With Mobile (mHealth) Technology to Optimize Health Behavior Change Interventions. European Psychologist 2019;24(1):38
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  42. 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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  43. Ong JG, Lim-Ashworth NS, Ooi YP, Boon JS, Ang RP, Goh DH, Ong SH, Fung DS. An Interactive Mobile App Game to Address Aggression (RegnaTales): Pilot Quantitative Study. JMIR Serious Games 2019;7(2):e13242
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  44. Argent R, Slevin P, Bevilacqua A, Neligan M, Daly A, Caulfield B. Wearable Sensor-Based Exercise Biofeedback for Orthopaedic Rehabilitation: A Mixed Methods User Evaluation of a Prototype System. Sensors 2019;19(2):432
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  45. Pickens ND, Mendonca R, Burns SP, Smith RO. Home safety evaluation – getting it right. Disability and Rehabilitation: Assistive Technology 2022;17(6):652
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  47. Paldán K, Simanovski J, Ullrich G, Steinmetz M, Rammos C, Jánosi RA, Moebus S, Rassaf T, Lortz J. Feasibility and Clinical Relevance of a Mobile Intervention Using TrackPAD to Support Supervised Exercise Therapy in Patients With Peripheral Arterial Disease: Study Protocol for a Randomized Controlled Pilot Trial. JMIR Research Protocols 2019;8(6):e13651
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  48. Ferguson M, Maidment D, Henshaw H, Gomez R. Knowledge Is Power: Improving Outcomes for Patients, Partners, and Professionals in the Digital Age. Perspectives of the ASHA Special Interest Groups 2019;4(1):140
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  49. Yang G, Long J, Luo D, Xiao S, Kaminga AC. The Characteristics and Quality of Mobile Phone Apps Targeted at Men Who Have Sex With Men in China: A Window of Opportunity for Health Information Dissemination?. JMIR mHealth and uHealth 2019;7(3):e12573
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  50. Bardus M, Ali A, Demachkieh F, Hamadeh G. Assessing the Quality of Mobile Phone Apps for Weight Management: User-Centered Study With Employees From a Lebanese University. JMIR mHealth and uHealth 2019;7(1):e9836
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  58. Marshall JM, Dunstan DA, Bartik W. Effectiveness of Using Mental Health Mobile Apps as Digital Antidepressants for Reducing Anxiety and Depression: Protocol for a Multiple Baseline Across-Individuals Design. JMIR Research Protocols 2020;9(7):e17159
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