Published on 27.03.15 in Vol 3, No 1 (2015): Jan-Mar
Works citing "Apps Seeking Theories: Results of a Study on the Use of Health Behavior Change Theories in Cancer Survivorship Mobile Apps"
According to Crossref, the following articles are citing this article (DOI 10.2196/mhealth.3861):
(note that this is only a small subset of citations)
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Motz P, Gray M, Sawyer T, Kett J, Danforth D, Maicher K, Umoren R. Virtual Antenatal Encounter and Standardized Simulation Assessment (VANESSA): Pilot Study. JMIR Serious Games 2018;6(2):e8
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Davis SW, Oakley-Girvan I. Achieving value in mobile health applications for cancer survivors. Journal of Cancer Survivorship 2017;11(4):498
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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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Singleton A, Partridge SR, Raeside R, Regimbal M, Hyun KK, Chow CK, Sherman K, Elder E, Redfern J. A text message intervention to support women’s physical and mental health after breast cancer treatments (EMPOWER-SMS): a randomised controlled trial protocol. BMC Cancer 2019;19(1)
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Berkowitz CM, Zullig LL, Koontz BF, Smith SK. Prescribing an App? Oncology Providers’ Views on Mobile Health Apps for Cancer Care. JCO Clinical Cancer Informatics 2017;(1):1
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Chen L, Payne JB, Dance KV, Imbody CB, Ho CD, Ayers AA, Flowers CR. Priorities for Rural Lymphoma Survivors: A Qualitative Study. Clinical Lymphoma Myeloma and Leukemia 2020;20(1):47
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Hong YA, Goldberg D, Ory MG, Towne Jr SD, Forjuoh SN, Kellstedt D, Wang S. Efficacy of a Mobile-Enabled Web App (iCanFit) in Promoting Physical Activity Among Older Cancer Survivors: A Pilot Study. JMIR Cancer 2015;1(1):e7
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Liu X, Jiang S, Sun M, Chi X. Examining Patterns of Information Exchange and Social Support in a Web-Based Health Community: Exponential Random Graph Models. Journal of Medical Internet Research 2020;22(9):e18062
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Ramsey RR, Caromody JK, Voorhees SE, Warning A, Cushing CC, Guilbert TW, Hommel KA, Fedele DA. A Systematic Evaluation of Asthma Management Apps Examining Behavior Change Techniques. The Journal of Allergy and Clinical Immunology: In Practice 2019;7(8):2583
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Smith SA, Whitehead MS, Sheats J, Mastromonico J, Yoo W, Coughlin SS. A Community-Engaged Approach to Developing a Mobile Cancer Prevention App: The mCPA Study Protocol. JMIR Research Protocols 2016;5(1):e34
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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
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Penedo FJ, Oswald LB, Kronenfeld JP, Garcia SF, Cella D, Yanez B. The increasing value of eHealth in the delivery of patient-centred cancer care. The Lancet Oncology 2020;21(5):e240
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Kalke K, Ginossar T, Bentley JM, Carver H, Shah SFA, Kinney AY. Use of Evidence-Based Best Practices and Behavior Change Techniques in Breast Cancer Apps: Systematic Analysis. JMIR mHealth and uHealth 2020;8(1):e14082
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Chen J, Cade JE, Allman-Farinelli M. The Most Popular Smartphone Apps for Weight Loss: A Quality Assessment. JMIR mHealth and uHealth 2015;3(4):e104
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Soh JY, Cha WC, Chang DK, Hwang JH, Kim K, Rha M, Kwon H. Development and Validation of a Multidisciplinary Mobile Care System for Patients With Advanced Gastrointestinal Cancer: Interventional Observation Study. JMIR mHealth and uHealth 2018;6(5):e115
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Haque MS, Kangas M, Jämsä T. Feasibility of a Persuasive mHealth Behavioural Change Intervention in Promoting Physical Activity in the Workplace (Preprint). JMIR Formative Research 2019;
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Mayer DK, Landucci G, Awoyinka L, Atwood AK, Carmack CL, Demark-Wahnefried W, McTavish F, Gustafson DH. SurvivorCHESS to increase physical activity in colon cancer survivors: can we get them moving?. Journal of Cancer Survivorship 2018;12(1):82
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Mendiola MF, Kalnicki M, Lindenauer S. Valuable Features in Mobile Health Apps for Patients and Consumers: Content Analysis of Apps and User Ratings. JMIR mHealth and uHealth 2015;3(2):e40
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Gupta A, Ocker G, Chow PI. Recruiting breast cancer patients for mHealth research: Obstacles to clinic-based recruitment for a mobile phone app intervention study. Clinical Trials 2020;17(6):675
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Wittmeier KD, Hobbs-Murison K, Holland C, Crawford E, Loewen H, Morris M, Lum Min S, Abou-Setta A, Keijzer R. Identifying Information Needs for Hirschsprung Disease Through Caregiver Involvement via Social Media: A Prioritization Study and Literature Review. Journal of Medical Internet Research 2018;20(12):e297
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McKay FH, Cheng C, Wright A, Shill J, Stephens H, Uccellini M. Evaluating mobile phone applications for health behaviour change: A systematic review. Journal of Telemedicine and Telecare 2018;24(1):22
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Qan'ir Y, Song L. Systematic review of technology‐based interventions to improve anxiety, depression, and health‐related quality of life among patients with prostate cancer. Psycho-Oncology 2019;28(8):1601
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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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Robertson MC, Tsai E, Lyons EJ, Srinivasan S, Swartz MC, Baum ML, Basen-Engquist KM. Mobile Health Physical Activity Intervention Preferences in Cancer Survivors: A Qualitative Study. JMIR mHealth and uHealth 2017;5(1):e3
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Donevant SB, Estrada RD, Culley JM, Habing B, Adams SA. Exploring app features with outcomes in mHealth studies involving chronic respiratory diseases, diabetes, and hypertension: a targeted exploration of the literature. Journal of the American Medical Informatics Association 2018;25(10):1407
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Tarricone R, Cucciniello M, Armeni P, Petracca F, Desouza KC, Hall LK, Keefe D. Mobile Health Divide Between Clinicians and Patients in Cancer Care: Results From a Cross-Sectional International Survey. JMIR mHealth and uHealth 2019;7(9):e13584
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. Investigating the Perceptions of Care Coordinators on Using Behavior Theory-Based Mobile Health Technology With Medicaid Populations: A Grounded Theory Study. JMIR mHealth and uHealth 2017;5(3):e36
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Lozano-Lozano M, Melguizo-Rodríguez L, Fernández-Lao C, Galiano-Castillo N, Cantarero-Villanueva I, Martín-Martín L, Arroyo-Morales M. Association Between the Use of a Mobile Health Strategy App and Biological Changes in Breast Cancer Survivors: Prospective Pre-Post Study. Journal of Medical Internet Research 2019;21(8):e15062
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Anderson K, Emmerton LM. Contribution of mobile health applications to self-management by consumers: review of published evidence. Australian Health Review 2016;40(5):591
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Choi J, Cho Y, Woo H. mHealth Approaches in Managing Skin Cancer: Systematic Review of Evidence-Based Research Using Integrative Mapping. JMIR mHealth and uHealth 2018;6(8):e164
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de Korte E, Wiezer N, Bakhuys Roozeboom M, Vink P, Kraaij W. Behavior Change Techniques in mHealth Apps for the Mental and Physical Health of Employees: Systematic Assessment. JMIR mHealth and uHealth 2018;6(10):e167
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Stone TE, Jia Y, Kunaviktikul W. Mobile apps: An effective, inclusive and equitable way of delivering patient and nurse education?. Nurse Education Today 2020;85:104308
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Szanto Z, Benko I, Jakab L, Szalai G, Vereczkei A. The use of a smartphone application for fast lung cancer risk assessment†. European Journal of Cardio-Thoracic Surgery 2017;51(6):1171
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Tian L, Zhang K, Wang X, Jiang K, Gao W, Liang N, Wang X, Miao Y, Lu Z. Utilization of Mobile Application for Better Implementation of Good Clinical Practice in a Biorepository Sample Collection Process: Functions of PancMoBio in Biobanking. Biopreservation and Biobanking 2020;18(2):46
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Rao Q, Zhang Z, Lv Y, Zhao Y, Bai L, Hou X. How to make health-promoting messages influential in social media: A Case Study of Sina Weibo (Preprint). JMIR Medical Informatics 2020;
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Geuens J, Geurts L, Swinnen TW, Westhovens R, Vanden Abeele V. Mobile Health Features Supporting Self-Management Behavior in Patients With Chronic Arthritis: Mixed-Methods Approach on Patient Preferences. JMIR mHealth and uHealth 2019;7(3):e12535
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Lozano-Lozano M, Cantarero-Villanueva I, Martin-Martin L, Galiano-Castillo N, Sanchez M, Fernández-Lao C, Postigo-Martin P, Arroyo-Morales M. A Mobile System to Improve Quality of Life Via Energy Balance in Breast Cancer Survivors (BENECA mHealth): Prospective Test-Retest Quasiexperimental Feasibility Study. JMIR mHealth and uHealth 2019;7(6):e14136
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Christmann CA, Hoffmann A, Bleser G. Stress Management Apps With Regard to Emotion-Focused Coping and Behavior Change Techniques: A Content Analysis. JMIR mHealth and uHealth 2017;5(2):e22
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Birkhoff SD, Cantrell MA, Moriarty H, Lustig R. The Usability and Acceptability of a Patient-Centered Mobile Health Tracking App Among a Sample of Adult Radiation Oncology Patients. Advances in Nursing Science 2018;41(3):243
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Zheng C, Chen X, Weng L, Guo L, Xu H, Lin M, Xue Y, Lin X, Yang A, Yu L, Xue Z, Yang J. Benefits of Mobile Apps for Cancer Pain Management: Systematic Review. JMIR mHealth and uHealth 2020;8(1):e17055
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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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Geuens J, Swinnen TW, Westhovens R, de Vlam K, Geurts L, Vanden Abeele V. A Review of Persuasive Principles in Mobile Apps for Chronic Arthritis Patients: Opportunities for Improvement. JMIR mHealth and uHealth 2016;4(4):e118
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Adam R, McMichael D, Powell D, Murchie P. Publicly available apps for cancer survivors: a scoping review. BMJ Open 2019;9(9):e032510
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Nightingale R, Hall A, Gelder C, Friedl S, Brennan E, Swallow V. Desirable Components for a Customized, Home-Based, Digital Care-Management App for Children and Young People With Long-Term, Chronic Conditions: A Qualitative Exploration. Journal of Medical Internet Research 2017;19(7):e235
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Sturny L, Regard S, Larribau R, Niquille M, Savoldelli GL, Sarasin F, Schiffer E, Suppan L. Differences in Basic Life Support Knowledge Between Junior Medical Students and Lay People: Web-Based Questionnaire Study (Preprint). Journal of Medical Internet Research 2020;
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Zhang C, Lakens D, IJsselsteijn WA. Theory Integration for Lifestyle Behavior Change in the Digital Age: An Adaptive Decision-Making Framework. Journal of Medical Internet Research 2021;23(4):e17127
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Yin J, Ngiam KY, Teo HH. The Role of Artificial Intelligence Applications in Real-life Clinical Practice: Systematic Review (Preprint). Journal of Medical Internet Research 2020;
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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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Ricadat E, Citrini M, Craus Y, Gabarro C, Mamzer M, Marques A, Sannié T, Teixera M, Tocilovac M, Villa F, Virole L, Velpry L, Lefève C. COVID health crisis and chronic illness: Protocol for a qualitative study (Preprint). JMIR Research Protocols 2021;
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Osmanlliu E, Rafie E, Bédard S, Paquette J, Gore G, Pomey M. Critical Information Missing: A Scoping Review of Considerations for the Design and Implementation of COVID-19 Contact Tracing Apps (Preprint). JMIR mHealth and uHealth 2021;
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Parimbelli E, Wilk S, Cornet R, Sniatala P, Sniatala K, Glaser S, Fraterman I, Boekhout A, Ottaviano M, Peleg M. A review of AI and Data Science support for cancer management. Artificial Intelligence in Medicine 2021;117:102111
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Stafford E, Brister T, Duckworth K, Rauseo-Ricupero N, Lagan S. Needs and Experiences of Users of Digital Navigation Tools for Mental Health Treatment and Supportive Services: Survey Study. JMIR Mental Health 2021;8(6):e27022
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Beaudoin CE, Hong T. Predictors of COVID-19 Preventive Perceptions and Behaviors: Two Cross-Sectional Studies of Millennials (Preprint). Journal of Medical Internet Research 2021;
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Scotti Requena S, Sterling M, Elphinston RA, Ritchie C, Robins S, R Armfield N. Development and use of mobile messaging for individuals with musculoskeletal pain conditions: a scoping review protocol. BMJ Open 2021;11(7):e048964
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Hudon A, Beaudoin M, Phraxayavong K, Dellazizzo L, Potvin S, Dumais A. Automated thematic classification: Systematic review of existing machine learning algorithms for small databases to assess psychotherapeutic process (Preprint). JMIR Mental Health 2020;
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Benoit J, Hartling L, Chan M, Scott S. Characteristics of Acute Childhood Illness Apps for Parents: Environmental Scan (Preprint). Journal of Medical Internet Research 2021;
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. Pioneer thought leader and scientist: Dr. Marcia G. Ory and her contributions to aging and public health across the life course. Frontiers in Public Health 2022;10
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Anugu P, Ansari MAY, Min Y, Benjamin EJ, Murabito J, Winters K, Turner E, Correa A. Digital Connectedness in the Jackson Heart Study: Cross-sectional Study. Journal of Medical Internet Research 2022;24(11):e37501
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Noser AE, Klages KL, Gamwell KL, Brammer CN, Hommel KA, Ramsey RR. A systematic evaluation of primary headache management apps leveraging behavior change techniques. Cephalalgia 2022;42(6):510
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. A Review of the Quality and Impact of Mobile Health Apps. Annual Review of Public Health 2022;43(1):117
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Cantrell MA, Ruble K, Mensinger J, Birkhoff S, Morris A, Griffith P, Adams J. The Use and Effect of the Health Storylines mHealth App on Female Childhood Cancer Survivors’ Self-efficacy, Health-Related Quality of Life and Perceived Illness. Cancer Nursing 2022;45(1):61
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Jackson DN, Sehgal N, Baur C. Benefits of mHealth Co-design for African American and Hispanic Adults: Multi-Method Participatory Research for a Health Information App. JMIR Formative Research 2022;6(3):e26764
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Rosario B, Zhang A, Patel M, Rajmane A, Xie N, Weeraratne D, Alterovitz G. Characterizing Thrombotic Complication Risk Factors Associated With COVID-19 via Heterogeneous Patient Data: Retrospective Observational Study. Journal of Medical Internet Research 2022;24(10):e35860
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Martin P, Chapoton B, Bourmaud A, Dumas A, Kivits J, Eyraud C, Dubois C, Alberti C, Le Roux E. Health Promotion in Popular Online Community Games among Young People: Proposals, Recommendations and Applications (Preprint). JMIR Serious Games 2022;
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Bezabih AM, Gerling K, Abebe W, Abeele VV. Behavioral Theories and Motivational Features Underlying eHealth Interventions for Adolescent Antiretroviral Adherence: Systematic Review. JMIR mHealth and uHealth 2021;9(12):e25129
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Kelley MM, Kue J, Brophy L, Peabody AL, Foraker RE, Yen P, Tucker S. Mobile Health Applications, Cancer Survivors, and Lifestyle Modification. CIN: Computers, Informatics, Nursing 2021;39(11):755
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Elnaggar A, von Oppenfeld J, Whooley MA, Merek S, Park LG. Applying Mobile Technology to Sustain Physical Activity After Completion of Cardiac Rehabilitation: Acceptability Study. JMIR Human Factors 2021;8(3):e25356
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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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Ariza-Vega P, Prieto-Moreno R, Mora-Traverso M, Molina-García P, Ashe MC, Martín-Matillas M. Co-creation of mHealth intervention for older adults with hip fracture and family caregivers: a qualitative study. Disability and Rehabilitation: Assistive Technology 2024;19(3):1009
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Pelletier C, Chabot C, Gagnon M, Rhéaume C. Implementing an Activity Tracker to Increase Motivation for Physical Activity in Patients With Diabetes in Primary Care: Strengths, Weaknesses, Opportunities and Threats (SWOT) Analysis. JMIR Formative Research 2023;7:e44254
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Chen X, Lin F, Cheng EW. Stratified Impacts of the Infodemic During the COVID-19 Pandemic: Cross-sectional Survey in 6 Asian Jurisdictions. Journal of Medical Internet Research 2022;24(3):e31088
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Philbin MM, McCrimmon T, Shaffer VA, Kerrigan D, Pereyra M, Cohen MH, Sosanya O, Sheth AN, Adimora AA, Topper EF, Rana A, Tamraz B, Goparaju L, Wilson TE, Alcaide M. A Patient Decision Aid (i.ARTs) to Facilitate Women’s Choice Between Oral and Long-Acting Injectable Antiretroviral Treatment for HIV: Protocols for its Development and Randomized Controlled Pilot Trial. JMIR Research Protocols 2022;11(9):e35646
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Benis A, Haghi M, Deserno TM, Tamburis O. One Digital Health Intervention in Smart Cities: Viewpoint and Use Case (Preprint). JMIR Medical Informatics 2022;
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According to Crossref, the following books are citing this article (DOI 10.2196/mhealth.3861):
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El‐Toukhy S, Nahum‐Shani I. Wiley StatsRef: Statistics Reference Online. 2020. :1
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Khan ZM, Ahmed R, Sen D. Privacy Concerns Surrounding Personal Information Sharing on Health and Fitness Mobile Apps. 2021. chapter 5:113
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Kim KK, Jalil S, Ngo V. Consumer Informatics and Digital Health. 2019. Chapter 12:221
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Vollmer Dahlke D, Ory M. Encyclopedia of Geropsychology. 2016. Chapter 289-1:1
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Ibadildin N, Harvey KE. Handbook of Research on Human Social Interaction in the Age of Mobile Devices. 2016. chapter 14:312
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Smith SN, Lee AJ, Hall K, Seewald NJ, Boruvka A, Murphy SA, Klasnja P. Mobile Health. 2017. Chapter 4:59
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McGrowder DA, Miller FG, Brown JG, Wilson-Clarke C, Anderson-Jackson L. Diagnostic Applications of Health Intelligence and Surveillance Systems. 2021. chapter 7:144
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Khan ZM, Ahmed R, Sen D. Research Anthology on Securing Mobile Technologies and Applications. 2021. chapter 37:667
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Khan ZM, Ahmed R, Sen D. Research Anthology on Privatizing and Securing Data. 2021. chapter 94:1929
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