Published on 24.05.16 in Vol 4, No 2 (2016): Apr-Jun
Works citing "User Preferences for Content, Features, and Style for an App to Reduce Harmful Drinking in Young Adults: Analysis of User Feedback in App Stores and Focus Group Interviews"
According to Crossref, the following articles are citing this article (DOI 10.2196/mhealth.5242):
(note that this is only a small subset of citations)
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Milward J, Deluca P, Drummond C, Watson R, Dunne J, Kimergård A. Usability Testing of the BRANCH Smartphone App Designed to Reduce Harmful Drinking in Young Adults. JMIR mHealth and uHealth 2017;5(8):e109
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Choo CC, Burton AAD. Mobile Phone Apps for Behavioral Interventions for At-Risk Drinkers in Australia: Literature Review. JMIR mHealth and uHealth 2018;6(2):e18
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Magee JC, Adut S, Brazill K, Warnick S. Mobile App Tools for Identifying and Managing Mental Health Disorders in Primary Care. Current Treatment Options in Psychiatry 2018;5(3):345
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Barratt MJ, Ferris JA, Zahnow R, Palamar JJ, Maier LJ, Winstock AR. Moving on From Representativeness: Testing the Utility of the Global Drug Survey. Substance Abuse: Research and Treatment 2017;11:117822181771639
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Milward J, Deluca P, Drummond C, Kimergård A. Developing Typologies of User Engagement With the BRANCH Alcohol-Harm Reduction Smartphone App: Qualitative Study. JMIR mHealth and uHealth 2018;6(12):e11692
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Bhattarai P, Newton-John TR, Phillips JL. Apps for pain self-management of older people’s arthritic pain, one size doesn’t fit all: A qualitative study. Archives of Gerontology and Geriatrics 2020;89:104062
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Nicholas J, Fogarty AS, Boydell K, Christensen H. The Reviews Are in: A Qualitative Content Analysis of Consumer Perspectives on Apps for Bipolar Disorder. Journal of Medical Internet Research 2017;19(4):e105
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Davies EL, Lonsdale AJ, Hennelly SE, Winstock AR, Foxcroft DR. Personalized Digital Interventions Showed no Impact on Risky Drinking in Young Adults: A Pilot Randomized Controlled Trial. Alcohol and Alcoholism 2017;52(6):671
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Rivas C, Tkacz D, Antao L, Mentzakis E, Gordon M, Anstee S, Giordano R. Automated analysis of free-text comments and dashboard representations in patient experience surveys: a multimethod co-design study. Health Services and Delivery Research 2019;7(23):1
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Min A, Lee D, Gao G, Jeong S, Shih PC. Design and assessment of a personal breathalyzer intervention to support responsible drinking. International Journal of Human-Computer Studies 2020;137:102382
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Kuntsche E, Kuntsche S, Thrul J, Gmel G. Binge drinking: Health impact, prevalence, correlates and interventions. Psychology & Health 2017;32(8):976
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Stonbraker S, Porras T, Schnall R. Patient preferences for visualization of longitudinal patient-reported outcomes data. Journal of the American Medical Informatics Association 2020;27(2):212
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Davies EL, Maier LJ, Winstock AR, Ferris JA. Intention to reduce drinking alcohol and preferred sources of support: An international cross-sectional study. Journal of Substance Abuse Treatment 2019;99:80
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Salgado TM, Fedrigon A, Riccio Omichinski D, Meade MA, Farris KB. Identifying Medication Management Smartphone App Features Suitable for Young Adults With Developmental Disabilities: Delphi Consensus Study. JMIR mHealth and uHealth 2018;6(5):e129
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Satre DD, Ly K, Wamsley M, Curtis A, Satterfield J. A Digital Tool to Promote Alcohol and Drug Use Screening, Brief Intervention, and Referral to Treatment Skill Translation: A Mobile App Development and Randomized Controlled Trial Protocol. JMIR Research Protocols 2017;6(4):e55
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Crane D, Garnett C, Brown J, West R, Michie S. Factors Influencing Usability of a Smartphone App to Reduce Excessive Alcohol Consumption: Think Aloud and Interview Studies. Frontiers in Public Health 2017;5
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Deluca P, Coulton S, Alam MF, Boniface S, Donoghue K, Gilvarry E, Kaner E, Lynch E, Maconochie I, McArdle P, McGovern R, Newbury-Birch D, Patton R, Pellatt-Higgins T, Phillips C, Phillips T, Pockett R, Russell IT, Strang J, Drummond C. Screening and brief interventions for adolescent alcohol use disorders presenting through emergency departments: a research programme including two RCTs. Programme Grants for Applied Research 2020;8(2):1
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Thornton L, Kay-Lambkin F, Tebbutt B, Hanstock TL, Baker AL. A Mobile Phone–Based Healthy Lifestyle Monitoring Tool for People With Mental Health Problems (MyHealthPA): Development and Pilot Testing. JMIR Cardio 2018;2(2):e10228
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Aji M, Gordon C, Peters D, Bartlett D, Calvo RA, Naqshbandi K, Glozier N. Exploring User Needs and Preferences for Mobile Apps for Sleep Disturbance: Mixed Methods Study. JMIR Mental Health 2019;6(5):e13895
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Attwood S, Parke H, Larsen J, Morton KL. Using a mobile health application to reduce alcohol consumption: a mixed-methods evaluation of the drinkaware track & calculate units application. BMC Public Health 2017;17(1)
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Sharpe JD, Zhou Z, Escobar-Viera CG, Morano JP, Lucero RJ, Ibañez GE, Hart M, Cook CL, Cook RL. Interest in using Mobile Technology to Help Self-Manage Alcohol use among Persons Living with the Human Immunodeficiency Virus: A Florida Cohort Cross-Sectional Study. Substance Abuse 2018;39(1):77
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Sallis A, Attwood S, Harper H, Larsen J, Berry D, Vlaev I, Sanders M, Chadborn T. A randomised trial of the effect of appearance versus health-framed messages on engagement with an online brief screening and alcohol reduction intervention. Psychology & Health 2019;34(8):922
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Hutton A, Prichard I, Whitehead D, Thomas S, Rubin M, Sloand E, Powell TW, Frisch K, Newman P, Goodwin Veenema T. mHealth Interventions to Reduce Alcohol Use in Young People: A Systematic Review of the Literature. Comprehensive Child and Adolescent Nursing 2020;43(3):171
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Molina-Recio G, Molina-Luque R, Jiménez-García AM, Ventura-Puertos PE, Hernández-Reyes A, Romero-Saldaña M. Proposal for the User-Centered Design Approach for Health Apps Based on Successful Experiences: Integrative Review. JMIR mHealth and uHealth 2020;8(4):e14376
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Short CE, DeSmet A, Woods C, Williams SL, Maher C, Middelweerd A, Müller AM, Wark PA, Vandelanotte C, Poppe L, Hingle MD, Crutzen R. Measuring Engagement in eHealth and mHealth Behavior Change Interventions: Viewpoint of Methodologies. Journal of Medical Internet Research 2018;20(11):e292
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Garnett C, Crane D, West R, Michie S, Brown J, Winstock A. User characteristics of a smartphone app to reduce alcohol consumption. Translational Behavioral Medicine 2017;7(4):845
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Kazemi DM, Borsari B, Levine MJ, Li S, Shehab M, Fang F, Norona JC. Effectiveness of a Theory-Based mHealth Intervention for High-Risk Drinking in College Students. Substance Use & Misuse 2020;55(10):1667
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Perski O, Baretta D, Blandford A, West R, Michie S. Engagement features judged by excessive drinkers as most important to include in smartphone applications for alcohol reduction: A mixed-methods study. DIGITAL HEALTH 2018;4:205520761878584
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Hoeppner BB, Schick MR, Kelly LM, Hoeppner SS, Bergman B, Kelly JF. There is an app for that – Or is there? A content analysis of publicly available smartphone apps for managing alcohol use. Journal of Substance Abuse Treatment 2017;82:67
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Milward J, Drummond C, Fincham-Campbell S, Deluca P. What makes online substance-use interventions engaging? A systematic review and narrative synthesis. DIGITAL HEALTH 2018;4:205520761774335
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Garnett C, Crane D, West R, Brown J, Michie S. The development of Drink Less: an alcohol reduction smartphone app for excessive drinkers. Translational Behavioral Medicine 2019;9(2):296
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File D, Bőthe B, Kapitány‐Fövény M, Demetrovics Z. Efficacy of a complex smartphone application for reducing hazardous alcohol consumption: Study protocol for a randomized controlled trial with analysis of in‐app user behavior in relation to outcome. International Journal of Methods in Psychiatric Research 2020;29(4):1
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Deluca P, Coulton S, Alam MF, Boniface S, Cohen D, Donoghue K, Gilvarry E, Kaner E, Maconochie I, McArdle P, McGovern R, Newbury-Birch D, Patton R, Pellatt-Higgins T, Phillips C, Phillips T, Pockett RD, Russell I, Strang J, Drummond C. Brief interventions to prevent excessive alcohol use in adolescents at low-risk presenting to Emergency Departments: Three-arm, randomised trial of effectiveness and cost-effectiveness. International Journal of Drug Policy 2021;93:103113
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Meegahapola L, Gatica-Perez D. Smartphone Sensing for the Well-Being of Young Adults: A Review. IEEE Access 2021;9:3374
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Mitchell KR, Purcell C, Forsyth R, Barry S, Hunter R, Simpson SA, McDaid L, Elliot L, McCann M, Wetherall K, Broccatelli C, Bailey JV, Moore L. A peer-led intervention to promote sexual health in secondary schools: the STASH feasibility study. Public Health Research 2020;8(15):1
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Kong M, Lee M, Kang H, Hong T. Development of a framework for evaluating the contents and usability of the building life cycle assessment tool. Renewable and Sustainable Energy Reviews 2021;150:111475
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Colonna R, Tucker P, Holmes J, Wilson J, Alvarez L. Mobile-based brief interventions targeting cannabis-impaired driving among youth: A Delphi study. Journal of Substance Abuse Treatment 2022;141:108802
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Ahmed A, Aziz S, Khalifa M, Shah U, Hassan A, Abd-Alrazaq A, Househ M. Thematic Analysis on User Reviews for Depression and Anxiety Chatbot Apps: Machine Learning Approach. JMIR Formative Research 2022;6(3):e27654
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Alhur MS, Alshamari S, Oláh J, Aldreabi H. Unsupervised Machine Learning to Identify Positive and Negative Themes in Jordanian mHealth Apps. International Journal of E-Services and Mobile Applications 2022;14(1):1
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Williamson C, White K, Rona RJ, Simms A, Fear NT, Goodwin L, Murphy D, Leightley D. Smartphone-Based Alcohol Interventions: A Systematic Review on the Role of Notifications in Changing Behaviors toward Alcohol. Substance Abuse 2022;43(1):1231
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Biviji R, Williams KS, Vest JR, Dixon BE, Cullen T, Harle CA. Consumer Perspectives on Maternal and Infant Health Apps: Qualitative Content Analysis. Journal of Medical Internet Research 2021;23(9):e27403
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Colonna R, Alvarez L. Characteristics of mobile-based brief interventions targeting substance use among youth: a rapid review. Journal of Substance Use 2023;28(3):293
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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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Mehra R, Pulman A, Dogan H, Murphy J, Bitters F. A Tailored mHealth App to Improve Health and Well-being Behavioral Transformation in the Police: Usability Testing via a Mixed-Methods Study Among UK Police Workers (Preprint). JMIR Human Factors 2022;
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White KM, Carr E, Leightley D, Matcham F, Conde P, Ranjan Y, Simblett S, Dawe-Lane E, Williams L, Henderson C, Hotopf M. Engagement With a Remote Symptom-Tracking Platform Among Participants With Major Depressive Disorder: Randomized Controlled Trial. JMIR mHealth and uHealth 2024;12:e44214
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Poulton A, Dali G, McGinness C, Clarke S, Turner T, Liu J, Giggins J, Marcuson R, Hester R. Impact of personalized alcohol intake and cognitive feedback on alcohol use behavior in hazardous drinkers: A quasi‐randomized trial. Alcohol: Clinical and Experimental Research 2023;47(7):1377
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According to Crossref, the following books are citing this article (DOI 10.2196/mhealth.5242):