Published on in Vol 3, No 1 (2015): Jan-Mar

Apps Seeking Theories: Results of a Study on the Use of Health Behavior Change Theories in Cancer Survivorship Mobile Apps

Apps Seeking Theories: Results of a Study on the Use of Health Behavior Change Theories in Cancer Survivorship Mobile Apps

Apps Seeking Theories: Results of a Study on the Use of Health Behavior Change Theories in Cancer Survivorship Mobile Apps

Journals

  1. 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 View
  2. Davis S, Oakley-Girvan I. Achieving value in mobile health applications for cancer survivors. Journal of Cancer Survivorship 2017;11(4):498 View
  3. Short C, 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) View
  4. Singleton A, Partridge S, Raeside R, Regimbal M, Hyun K, Chow C, 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) View
  5. Berkowitz C, Zullig L, Koontz B, Smith S. Prescribing an App? Oncology Providers’ Views on Mobile Health Apps for Cancer Care. JCO Clinical Cancer Informatics 2017;(1):1 View
  6. Chen L, Payne J, Dance K, Imbody C, Ho C, Ayers A, Flowers C. Priorities for Rural Lymphoma Survivors: A Qualitative Study. Clinical Lymphoma Myeloma and Leukemia 2020;20(1):47 View
  7. Hong Y, Goldberg D, Ory M, Towne Jr S, Forjuoh S, 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 View
  8. 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 View
  9. Ramsey R, Caromody J, Voorhees S, Warning A, Cushing C, Guilbert T, Hommel K, Fedele D. A Systematic Evaluation of Asthma Management Apps Examining Behavior Change Techniques. The Journal of Allergy and Clinical Immunology: In Practice 2019;7(8):2583 View
  10. Smith S, Whitehead M, Sheats J, Mastromonico J, Yoo W, Coughlin S. A Community-Engaged Approach to Developing a Mobile Cancer Prevention App: The mCPA Study Protocol. JMIR Research Protocols 2016;5(1):e34 View
  11. Carmody J, Denson L, Hommel K. Content and Usability Evaluation of Medication Adherence Mobile Applications for Use in Pediatrics. Journal of Pediatric Psychology 2019;44(3):333 View
  12. Penedo F, Oswald L, Kronenfeld J, Garcia S, Cella D, Yanez B. The increasing value of eHealth in the delivery of patient-centred cancer care. The Lancet Oncology 2020;21(5):e240 View
  13. Kalke K, Ginossar T, Bentley J, Carver H, Shah S, Kinney A. Use of Evidence-Based Best Practices and Behavior Change Techniques in Breast Cancer Apps: Systematic Analysis. JMIR mHealth and uHealth 2020;8(1):e14082 View
  14. Chen J, Cade J, Allman-Farinelli M. The Most Popular Smartphone Apps for Weight Loss: A Quality Assessment. JMIR mHealth and uHealth 2015;3(4):e104 View
  15. Soh J, Cha W, Chang D, Hwang J, 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 View
  16. Haque M, Kangas M, Jämsä T. Feasibility of a Persuasive mHealth Behavioural Change Intervention in Promoting Physical Activity in the Workplace (Preprint). JMIR Formative Research 2019 View
  17. Mayer D, Landucci G, Awoyinka L, Atwood A, Carmack C, Demark-Wahnefried W, McTavish F, Gustafson D. SurvivorCHESS to increase physical activity in colon cancer survivors: can we get them moving?. Journal of Cancer Survivorship 2018;12(1):82 View
  18. Mendiola M, 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 View
  19. Gupta A, Ocker G, Chow P. 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 View
  20. Wittmeier K, 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 View
  21. McKay F, 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 View
  22. 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 View
  23. Biviji R, Vest J, Dixon B, Cullen T, Harle C. Content analysis of behavior change techniques in maternal and infant health apps. Translational Behavioral Medicine 2021;11(2):504 View
  24. Robertson M, Tsai E, Lyons E, Srinivasan S, Swartz M, Baum M, Basen-Engquist K. Mobile Health Physical Activity Intervention Preferences in Cancer Survivors: A Qualitative Study. JMIR mHealth and uHealth 2017;5(1):e3 View
  25. Donevant S, Estrada R, Culley J, Habing B, Adams S. 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 View
  26. Tarricone R, Cucciniello M, Armeni P, Petracca F, Desouza K, Hall L, 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 View
  27. Sigler B. 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 View
  28. 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 View
  29. Anderson K, Emmerton L. Contribution of mobile health applications to self-management by consumers: review of published evidence. Australian Health Review 2016;40(5):591 View
  30. 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 View
  31. 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 View
  32. Stone T, Jia Y, Kunaviktikul W. Mobile apps: An effective, inclusive and equitable way of delivering patient and nurse education?. Nurse Education Today 2020;85:104308 View
  33. 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 View
  34. 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 View
  35. 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 View
  36. Geuens J, Geurts L, Swinnen T, 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 View
  37. 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 View
  38. Christmann C, 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 View
  39. Birkhoff S, Cantrell M, 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 View
  40. 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 View
  41. McKay F, 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 View
  42. Geuens J, Swinnen T, 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 View
  43. Adam R, McMichael D, Powell D, Murchie P. Publicly available apps for cancer survivors: a scoping review. BMJ Open 2019;9(9):e032510 View
  44. 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 View
  45. Sturny L, Regard S, Larribau R, Niquille M, Savoldelli G, 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 View
  46. Zhang C, Lakens D, IJsselsteijn W. Theory Integration for Lifestyle Behavior Change in the Digital Age: An Adaptive Decision-Making Framework. Journal of Medical Internet Research 2021;23(4):e17127 View
  47. Yin J, Ngiam K, Teo H. The Role of Artificial Intelligence Applications in Real-life Clinical Practice: Systematic Review (Preprint). Journal of Medical Internet Research 2020 View
  48. Hensher M, Cooper P, Dona S, Angeles M, Nguyen D, Heynsbergh N, Chatterton M, 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 View
  49. 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 View
  50. 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 View
  51. 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 View
  52. 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 View
  53. Beaudoin C, Hong T. Predictors of COVID-19 Preventive Perceptions and Behaviors: Two Cross-Sectional Studies of Millennials (Preprint). Journal of Medical Internet Research 2021 View
  54. Scotti Requena S, Sterling M, Elphinston R, 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 View
  55. 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 View
  56. 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 View

Books/Policy Documents

  1. El‐Toukhy S, Nahum‐Shani I. Wiley StatsRef: Statistics Reference Online. View
  2. Khan Z, Ahmed R, Sen D. Privacy Concerns Surrounding Personal Information Sharing on Health and Fitness Mobile Apps. View
  3. Kim K, Jalil S, Ngo V. Consumer Informatics and Digital Health. View
  4. Vollmer Dahlke D, Ory M. Encyclopedia of Geropsychology. View
  5. Ibadildin N, Harvey K. Handbook of Research on Human Social Interaction in the Age of Mobile Devices. View
  6. Smith S, Lee A, Hall K, Seewald N, Boruvka A, Murphy S, Klasnja P. Mobile Health. View
  7. McGrowder D, Miller F, Brown J, Wilson-Clarke C, Anderson-Jackson L. Diagnostic Applications of Health Intelligence and Surveillance Systems. View
  8. Khan Z, Ahmed R, Sen D. Research Anthology on Securing Mobile Technologies and Applications. View
  9. Khan Z, Ahmed R, Sen D. Research Anthology on Privatizing and Securing Data. View