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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)"

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)

  1. Tan R, Cvetkovski B, Kritikos V, O’Hehir RE, Lourenço O, Bousquet J, Bosnic-Anticevich S. Identifying an effective mobile health application for the self-management of allergic rhinitis and asthma in Australia. Journal of Asthma 2019;:1
    CrossRef
  2. Bell IH, Alvarez-Jimenez M. Digital Technology to Enhance Clinical Care of Early Psychosis. Current Treatment Options in Psychiatry 2019;6(3):256
    CrossRef
  3. Ernsting C, Stühmann LM, Dombrowski SU, Voigt-Antons J, Kuhlmey A, Gellert P. Associations of Health App Use and Perceived Effectiveness in People With Cardiovascular Diseases and Diabetes: Population-Based Survey. JMIR mHealth and uHealth 2019;7(3):e12179
    CrossRef
  4. White B, Giglia RC, White JA, Dhaliwal S, Burns SK, Scott JA. Gamifying Breastfeeding for Fathers: Process Evaluation of the Milk Man Mobile App. JMIR Pediatrics and Parenting 2019;2(1):e12157
    CrossRef
  5. 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
    CrossRef
  6. Zhou L, Bao J, Setiawan IMA, Saptono A, Parmanto B. The mHealth App Usability Questionnaire (MAUQ): Development and Validation Study. JMIR mHealth and uHealth 2019;7(4):e11500
    CrossRef
  7. 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
    CrossRef
  8. 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
    CrossRef
  9. Musgrave LM, Homer CSE, Kizirian NV, Gordon A. Addressing preconception behaviour change through mobile phone apps: a protocol for a systematic review and meta-analysis. Systematic Reviews 2019;8(1)
    CrossRef
  10. 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):1611090
    CrossRef
  11. 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
    CrossRef
  12. Darras KE, G. van Merriënboer JJ, Toom M, Roberson ND, H. de Bruin AB, 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
    CrossRef
  13. 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)
    CrossRef
  14. Woods LS, Duff J, Roehrer E, Walker K, Cummings E. Patients’ Experiences of Using a Consumer mHealth App for Self-Management of Heart Failure: Mixed-Methods Study. JMIR Human Factors 2019;6(2):e13009
    CrossRef
  15. 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
    CrossRef
  16. 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
    CrossRef
  17. Walsh JC, Groarke JM. Integrating Behavioral Science With Mobile (mHealth) Technology to Optimize Health Behavior Change Interventions. European Psychologist 2019;24(1):38
    CrossRef
  18. Perle JG. 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 2019;
    CrossRef
  19. Carmody JK, Denson LA, Hommel KA. Content and Usability Evaluation of Medication Adherence Mobile Applications for Use in Pediatrics. Journal of Pediatric Psychology 2019;44(3):333
    CrossRef
  20. 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
    CrossRef
  21. 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
    CrossRef
  22. 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
    CrossRef
  23. 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
    CrossRef
  24. Sleurs K, Seys SF, Bousquet J, Fokkens WJ, Gorris S, Pugin B, Hellings PW. Mobile health tools for the management of chronic respiratory diseases. Allergy 2019;
    CrossRef
  25. Hunter JF, Kain ZN, Fortier MA, Walker S. Pain relief in the palm of your hand: Harnessing mobile health to manage pediatric pain. Pediatric Anesthesia 2019;29(2):120
    CrossRef
  26. Albrecht U, Malinka C, Long S, Raupach T, Hasenfuß G, von Jan U. Quality Principles of App Description Texts and Their Significance in Deciding to Use Health Apps as Assessed by Medical Students: Survey Study. JMIR mHealth and uHealth 2019;7(2):e13375
    CrossRef
  27. Kagen S, Garland A. Asthma and Allergy Mobile Apps in 2018. Current Allergy and Asthma Reports 2019;19(1)
    CrossRef
  28. 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
    CrossRef
  29. 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
    CrossRef
  30. 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
    CrossRef
  31. 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
    CrossRef
  32. Hides L, Quinn C, Cockshaw W, Stoyanov S, Zelenko O, Johnson D, Tjondronegoro D, Quek L, Kavanagh DJ. Efficacy and outcomes of a mobile app targeting alcohol use in young people. Addictive Behaviors 2018;77:89
    CrossRef
  33. Bakker D, Kazantzis N, Rickwood D, Rickard N. Development and Pilot Evaluation of Smartphone-Delivered Cognitive Behavior Therapy Strategies for Mood- and Anxiety-Related Problems: MoodMission. Cognitive and Behavioral Practice 2018;25(4):496
    CrossRef
  34. Berry K, Salter A, Morris R, James S, Bucci S. Assessing Therapeutic Alliance in the Context of mHealth Interventions for Mental Health Problems: Development of the Mobile Agnew Relationship Measure (mARM) Questionnaire. Journal of Medical Internet Research 2018;20(4):e90
    CrossRef
  35. Jupp JCY, Sultani H, Cooper CA, Peterson KA, Truong TH. Evaluation of mobile phone applications to support medication adherence and symptom management in oncology patients. Pediatric Blood & Cancer 2018;65(11):e27278
    CrossRef
  36. Adam A, Hellig JC, Perera M, Bolton D, Lawrentschuk N. ‘Prostate Cancer Risk Calculator’ mobile applications (Apps): a systematic review and scoring using the validated user version of the Mobile Application Rating Scale (uMARS). World Journal of Urology 2018;36(4):565
    CrossRef
  37. LeBeau K, Huey LG, Hart M. Evaluating the Quality of Mobile Apps Used by Occupational Therapists Using the uMARS App Quality Rating Tool (Preprint). JMIR mHealth and uHealth 2018;
    CrossRef
  38. Davidson S, Fletcher S, Wadley G, Reavley N, Gunn J, Wade D. Feasibility study of Driving to Health: A mental health mobile-friendly website for taxi drivers (Preprint). JMIR mHealth and uHealth 2018;
    CrossRef
  39. 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
    CrossRef
  40. Lee J, Kim J. Method of App Selection for Healthcare Providers Based on Consumer Needs. CIN: Computers, Informatics, Nursing 2018;36(1):45
    CrossRef
  41. 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
    CrossRef
  42. Bardus M, Hamadeh G, Hayek B, Al Kherfan R. A Self-Directed Mobile Intervention (WaznApp) to Promote Weight Control Among Employees at a Lebanese University: Protocol for a Feasibility Pilot Randomized Controlled Trial. JMIR Research Protocols 2018;7(5):e133
    CrossRef
  43. 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. The Journal of Nervous and Mental Disease 2018;:1
    CrossRef
  44. O'Reilly MA, Slevin P, Ward T, Caulfield B. A Wearable Sensor-Based Exercise Biofeedback System: Mixed Methods Evaluation of Formulift. JMIR mHealth and uHealth 2018;6(1):e33
    CrossRef
  45. Sharpe JD, Kamara MT. A systematic evaluation of mobile apps to improve the uptake of and adherence to HIV pre-exposure prophylaxis. Sexual Health 2018;15(6):587
    CrossRef
  46. 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 2018;:073346481879018
    CrossRef
  47. Li Y, Ding J, Wang Y, Tang C, Zhang P. Nutrition-related Mobile Applications in China App Store: Assessment of Functionality and Quality (Preprint). JMIR mHealth and uHealth 2018;
    CrossRef
  48. Ramos R, Ferrer Cheng PG, Jonas SM. Establishing Mental Health App Integrity: The Construct Validation Of Psychologist In A Pocket (Preprint). JMIR mHealth and uHealth 2018;
    CrossRef
  49. Chan S, Godwin H, Gonzalez A, Yellowlees PM, Hilty DM. Review of Use and Integration of Mobile Apps Into Psychiatric Treatments. Current Psychiatry Reports 2017;19(12)
    CrossRef
  50. Paglialonga A, Pinciroli F, Tognola G. The ALFA4Hearing Model (At-a-Glance Labeling for Features of Apps for Hearing Health Care) to Characterize Mobile Apps for Hearing Health Care. American Journal of Audiology 2017;26(3S):408
    CrossRef
  51. Kao C, Liebovitz DM. Consumer Mobile Health Apps: Current State, Barriers, and Future Directions. PM&R 2017;9:S106
    CrossRef
  52. Loiselle CG, Ahmed S. Is Connected Health Contributing to a Healthier Population?. Journal of Medical Internet Research 2017;19(11):e386
    CrossRef
  53. Baptista S, Oldenburg B, O'Neil A. Response to “Development and Validation of the User Version of the Mobile Application Rating Scale (uMARS)”. JMIR mHealth and uHealth 2017;5(6):e16
    CrossRef
  54. Mareva S, Thomson D, Marenco P, Estal Muñoz V, Ott CV, Schmidt B, Wingen T, Kassianos AP. Study Protocol on Ecological Momentary Assessment of Health-Related Quality of Life Using a Smartphone Application. Frontiers in Psychology 2016;7
    CrossRef
  55. 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
    CrossRef
  56. 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
    CrossRef

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

:
  1. Paglialonga A, Pinciroli F, Tognola G. Tele-Audiology and the Optimization of Hearing Healthcare Delivery. 2019. chapter 7:161
    CrossRef
  2. Hoffmann A, Faust-Christmann CA, Zolynski G, Bleser G. Design, User Experience, and Usability. Application Domains. 2019. Chapter 23:303
    CrossRef
  3. Lake E, Bramble JCT, Greenberg H, Shipman JP, Marcus RL, Wasden CL, Jones KB. Strategic Collaborations in Health Sciences Libraries. 2019. :139
    CrossRef
  4. Bregenzer A, Jiménez P. Handbuch Digitale Wirtschaft. 2019. Chapter 30-1:1
    CrossRef
  5. Orehovački T, Plantak Vukovac D, Stapić Z, Novosel-Herceg T. Human-Computer Interaction. Interaction Contexts. 2017. Chapter 20:250
    CrossRef