Published on in Vol 4, No 4 (2017): Oct-Dec

Lack of Adoption of a Mobile App to Support Patient Self-Management of Diabetes and Hypertension in a Federally Qualified Health Center: Interview Analysis of Staff and Patients in a Failed Randomized Trial

Lack of Adoption of a Mobile App to Support Patient Self-Management of Diabetes and Hypertension in a Federally Qualified Health Center: Interview Analysis of Staff and Patients in a Failed Randomized Trial

Lack of Adoption of a Mobile App to Support Patient Self-Management of Diabetes and Hypertension in a Federally Qualified Health Center: Interview Analysis of Staff and Patients in a Failed Randomized Trial

Authors of this article:

Kathleen Thies1 Author Orcid Image ;   Daren Anderson1 Author Orcid Image ;   Benjamin Cramer2 Author Orcid Image

Journals

  1. Turner R, Ma Q, Lorig K, Greenberg J, DeVries A. Evaluation of a Diabetes Self-Management Program: Claims Analysis on Comorbid Illnesses, Health Care Utilization, and Cost. Journal of Medical Internet Research 2018;20(6):e207 View
  2. Nuamah J, Mehta R, Sasangohar F. Technologies for Opioid Use Disorder Management: Mobile App Search and Scoping Review. JMIR mHealth and uHealth 2020;8(6):e15752 View
  3. Choi W, Wang S, Lee Y, Oh H, Zheng Z. A systematic review of mobile health technologies to support self-management of concurrent diabetes and hypertension. Journal of the American Medical Informatics Association 2020;27(6):939 View
  4. Wang J, Cai C, Padhye N, Orlander P, Zare M. A Behavioral Lifestyle Intervention Enhanced With Multiple-Behavior Self-Monitoring Using Mobile and Connected Tools for Underserved Individuals With Type 2 Diabetes and Comorbid Overweight or Obesity: Pilot Comparative Effectiveness Trial. JMIR mHealth and uHealth 2018;6(4):e92 View
  5. Gold R, Bunce A, Cowburn S, Davis J, Nelson J, Nelson C, Hicks E, Cohen D, Horberg M, Melgar G, Dearing J, Seabrook J, Mossman N, Bulkley J. Does increased implementation support improve community clinics’ guideline-concordant care? Results of a mixed methods, pragmatic comparative effectiveness trial. Implementation Science 2019;14(1) View
  6. Leppla L, Mielke J, Kunze M, Mauthner O, Teynor A, Valenta S, Vanhoof J, Dobbels F, Berben L, Zeiser R, Engelhardt M, De Geest S. Clinicians and patients perspectives on follow-up care and eHealth support after allogeneic hematopoietic stem cell transplantation: A mixed-methods contextual analysis as part of the SMILe study. European Journal of Oncology Nursing 2020;45:101723 View
  7. Karnoe A, Kayser L, Skovgaard L. Identification of Factors That Motivate People With Multiple Sclerosis to Participate in Digital Data Collection in Research: Sequential Mixed Methods Study. JMIR Human Factors 2019;6(4):e13295 View
  8. Irfan Khan A, Gill A, Cott C, Hans P, Steele Gray C. mHealth Tools for the Self-Management of Patients With Multimorbidity in Primary Care Settings: Pilot Study to Explore User Experience. JMIR mHealth and uHealth 2018;6(8):e171 View
  9. Tistad M, Lundell S, Wiklund M, Nyberg A, Holmner Å, Wadell K. Usefulness and Relevance of an eHealth Tool in Supporting the Self-Management of Chronic Obstructive Pulmonary Disease: Explorative Qualitative Study of a Cocreative Process. JMIR Human Factors 2018;5(4):e10801 View
  10. Ellen M, Shach R, Balicer R. Helping patients help themselves: Supporting the healthcare journey. Patient Education and Counseling 2018;101(9):1708 View
  11. Pham Q, Graham G, Carrion C, Morita P, Seto E, Stinson J, Cafazzo J. A Library of Analytic Indicators to Evaluate Effective Engagement with Consumer mHealth Apps for Chronic Conditions: Scoping Review. JMIR mHealth and uHealth 2019;7(1):e11941 View
  12. Issom D, Henriksen A, Woldaregay A, Rochat J, Lovis C, Hartvigsen G. Factors Influencing Motivation and Engagement in Mobile Health Among Patients With Sickle Cell Disease in Low-Prevalence, High-Income Countries: Qualitative Exploration of Patient Requirements. JMIR Human Factors 2020;7(1):e14599 View
  13. Byambasuren O, Beller E, Hoffmann T, Glasziou P. Barriers to and Facilitators of the Prescription of mHealth Apps in Australian General Practice: Qualitative Study. JMIR mHealth and uHealth 2020;8(7):e17447 View
  14. Quintana Y, Fahy D, Abdelfattah A, Henao J, Safran C. The design and methodology of a usability protocol for the management of medications by families for aging older adults. BMC Medical Informatics and Decision Making 2019;19(1) View
  15. Yee L, Leziak K, Jackson J, Strohbach A, Saber R, Niznik C, Simon M. Patient and Provider Perspectives on a Novel Mobile Health Intervention for Low-Income Pregnant Women With Gestational or Type 2 Diabetes Mellitus. Journal of Diabetes Science and Technology 2021;15(5):1121 View
  16. Cafazzo J. A Digital-First Model of Diabetes Care. Diabetes Technology & Therapeutics 2019;21(S2):S2-52 View
  17. Kirkscey R. mHealth Apps for Older Adults: A Method for Development and User Experience Design Evaluation. Journal of Technical Writing and Communication 2021;51(2):199 View
  18. Petersen C, Weeks W, Norin O, Weinstein J. Development and Implementation of a Person-Centered, Technology-Enhanced Care Model For Managing Chronic Conditions: Cohort Study. JMIR mHealth and uHealth 2019;7(3):e11082 View
  19. Smith B, Magnani J. New technologies, new disparities: The intersection of electronic health and digital health literacy. International Journal of Cardiology 2019;292:280 View
  20. Ayre J, Bonner C, Bramwell S, McClelland S, Jayaballa R, Maberly G, McCaffery K. Factors for Supporting Primary Care Physician Engagement With Patient Apps for Type 2 Diabetes Self-Management That Link to Primary Care: Interview Study. JMIR mHealth and uHealth 2019;7(1):e11885 View
  21. Leppla L, Hobelsberger S, Rockstein D, Werlitz V, Pschenitza S, Heidegger P, De Geest S, Valenta S, Teynor A. Implementation Science Meets Software Development to Create eHealth Components for an Integrated Care Model for Allogeneic Stem Cell Transplantation Facilitated by eHealth: The SMILe Study as an Example. Journal of Nursing Scholarship 2021;53(1):35 View
  22. Gimpel H, Manner-Romberg T, Schmied F, Winkler T. Understanding the evaluation of mHealth app features based on a cross-country Kano analysis. Electronic Markets 2021;31(4):765 View
  23. Tossaint-Schoenmakers R, Versluis A, Chavannes N, Talboom-Kamp E, Kasteleyn M. The Challenge of Integrating eHealth Into Health Care: Systematic Literature Review of the Donabedian Model of Structure, Process, and Outcome. Journal of Medical Internet Research 2021;23(5):e27180 View
  24. Hare A, Chokshi N, Adusumalli S. Novel Digital Technologies for Blood Pressure Monitoring and Hypertension Management. Current Cardiovascular Risk Reports 2021;15(8) View
  25. Leppla L, Schmid A, Valenta S, Mielke J, Beckmann S, Ribaut J, Teynor A, Dobbels F, Duerinckx N, Zeiser R, Engelhardt M, Gerull S, De Geest S, Bolliger D, Chalandon Y, De DGeest S, Degen S, Fürmann M, Grossmann F, Hasemann M, Heidegger P, Hermann A, Hobelsberger S, Husel M, Koehly K, Lemcke M, Leppla L, Maier B, Mamez A, Masouridi S, Nair G, Neupert D, Passweg J, Pschenitza S, Reitwiessner S, Ribaut J, Rockstein D, Schanz U, Schoemans H, Schulz T, Schumacher V, Senft Y, Werlitz V, Witzig-Brändli V. Development of an integrated model of care for allogeneic stem cell transplantation facilitated by eHealth—the SMILe study. Supportive Care in Cancer 2021;29(12):8045 View
  26. Knop M, Mueller M, Niehaves B. Investigating the Use of Telemedicine for Digitally Mediated Delegation in Team-Based Primary Care: Mixed Methods Study. Journal of Medical Internet Research 2021;23(8):e28151 View
  27. Glass J, Matson T, Lim C, Hartzler A, Kimbel K, Lee A, Beatty T, Parrish R, Caldeiro R, Garza McWethy A, Curran G, Bradley K. Approaches for Implementing App-Based Digital Treatments for Drug Use Disorders Into Primary Care: A Qualitative, User-Centered Design Study of Patient Perspectives. Journal of Medical Internet Research 2021;23(7):e25866 View
  28. Kirkscey R. Development and Patient User Experience Evaluation of an mHealth Informational App for Osteoporosis. International Journal of Human–Computer Interaction 2022;38(8):707 View
  29. Valenta S, Ribaut J, Leppla L, Mielke J, Teynor A, Koehly K, Gerull S, Grossmann F, Witzig-Brändli V, De Geest S. Context-specific adaptation of an eHealth-facilitated, integrated care model and tailoring its implementation strategies—A mixed-methods study as a part of the SMILe implementation science project. Frontiers in Health Services 2023;2 View
  30. O’Grady M, Kapoor S, Harrison L, Kwon N, Suleiman A, Muench F. Implementing a text-messaging intervention for unhealthy alcohol use in emergency departments: protocol for implementation strategy development and a pilot cluster randomized implementation trial. Implementation Science Communications 2022;3(1) View
  31. Killion K, Sasangohar F. mHealth for Diabetes Self-Management in Underserved Populations: A Scoping Review. Proceedings of the Human Factors and Ergonomics Society Annual Meeting 2022;66(1):1418 View
  32. Palos-Sanchez P, Saura J, Rios Martin M, Aguayo-Camacho M. Toward a Better Understanding of the Intention to Use mHealth Apps: Exploratory Study. JMIR mHealth and uHealth 2021;9(9):e27021 View
  33. Spratt S, Ravneberg D, Derstine B, Granger B. Feasibility of Electronic Health Record Integration of a SMART Application to Facilitate Patient-Provider Communication for Medication Management. CIN: Computers, Informatics, Nursing 2022;40(8):538 View
  34. Cao W, Milks M, Liu X, Gregory M, Addison D, Zhang P, Li L. mHealth Interventions for Self-management of Hypertension: Framework and Systematic Review on Engagement, Interactivity, and Tailoring. JMIR mHealth and uHealth 2022;10(3):e29415 View
  35. Torkian S, Ebrahimi F, Shahnazi H, Rashti R, Emami M, Maracy M. Psychometrics of the Persian version of the COVID-19-related health literacy in the Iranian population. Frontiers in Public Health 2023;10 View
  36. Alaslawi H, Berrou I, Al Hamid A, Alhuwail D, Aslanpour Z. Diabetes Self-management Apps: Systematic Review of Adoption Determinants and Future Research Agenda. JMIR Diabetes 2022;7(3):e28153 View
  37. De Geest S, Valenta S, Ribaut J, Gerull S, Mielke J, Simon M, Bartakova J, Kaier K, Eckstein J, Leppla L, Teynor A. The SMILe integrated care model in allogeneic SteM cell TransplantatIon faciLitated by eHealth: a protocol for a hybrid effectiveness-implementation randomised controlled trial. BMC Health Services Research 2022;22(1) View
  38. Khusial R, van Koppen S, Honkoop P, Rijssenbeek-Nouwens L, Fieten K, Keij S, Drijver-Messelink M, Sont J. Patients’ and Health Care Providers’ Perceptions on mHealth Use After High-Altitude Climate Therapy for Severe Asthma: Mixed Methods Study. JMIR Formative Research 2022;6(11):e26925 View
  39. Mielke J, Leppla L, Valenta S, Zullig L, Zúñiga F, Staudacher S, Teynor A, De Geest S. Unraveling implementation context: the Basel Approach for coNtextual ANAlysis (BANANA) in implementation science and its application in the SMILe project. Implementation Science Communications 2022;3(1) View
  40. Hellem A, Whitfield C, Casetti A, Robles M, Dinh M, Meurer W, Skolarus L. Engagement in Self-measured Blood Pressure Monitoring Among Medically Underresourced Participants (the Reach Out Trial): Digital Framework Qualitative Study. JMIR Cardio 2023;7:e38900 View
  41. Kayser L, Karnoe A, Duminski E, Jakobsen S, Terp R, Dansholm S, Roeder M, From G. Health Professionals’ eHealth Literacy and System Experience Before and 3 Months After the Implementation of an Electronic Health Record System: Longitudinal Study. JMIR Human Factors 2022;9(2):e29780 View
  42. Dehnavi Z, Ayatollahi H, Hemmat M, Abbasi R. Health Information Technology and Diabetes Management: A Review of Motivational and Inhibitory Factors. Current Diabetes Reviews 2021;17(3):268 View
  43. Glass J, Dorsey C, Beatty T, Bobb J, Wong E, Palazzo L, King D, Mogk J, Stefanik-Guizlo K, Idu A, Key D, Fortney J, Thomas R, McWethy A, Caldeiro R, Bradley K. Study protocol for a factorial-randomized controlled trial evaluating the implementation, costs, effectiveness, and sustainment of digital therapeutics for substance use disorder in primary care (DIGITS Trial). Implementation Science 2023;18(1) View
  44. Chapel B, Alexandre F, Heraud N, Ologeanu-Taddei R, Cases A, Bughin F, Hayot M. Standardization of the assessment process within telerehabilitation in chronic diseases: a scoping meta-review. BMC Health Services Research 2022;22(1) View
  45. Flickinger T, Waselewski M, Tabackman A, Huynh J, Hodges J, Otero K, Schorling K, Ingersoll K, Tiouririne N, Dillingham R. Communication between patients, peers, and care providers through a mobile health intervention supporting medication-assisted treatment for opioid use disorder. Patient Education and Counseling 2022;105(7):2110 View
  46. Glass J, Tiffany B, Matson T, Lim C, Gundersen G, Kimbel K, Hartzler A, Curran G, McWethy A, Caldeiro R, Bradley K. Approaches for implementing digital interventions for alcohol use disorders in primary care: A qualitative, user-centered design study. Implementation Research and Practice 2022;3 View
  47. Lundell S, Toots A, Sönnerfors P, Halvarsson A, Wadell K. Participatory methods in a digital setting: experiences from the co-creation of an eHealth tool for people with chronic obstructive pulmonary disease. BMC Medical Informatics and Decision Making 2022;22(1) View
  48. Giebel G, Speckemeier C, Abels C, Plescher F, Börchers K, Wasem J, Blase N, Neusser S. Problems and Barriers Related to the Use of Digital Health Applications: Scoping Review. Journal of Medical Internet Research 2023;25:e43808 View
  49. Guo S, Lin J, Hsing H, Lee C, Chuang S. The Effect of Mobile eHealth Education to Improve Knowledge, Skills, Self-Care, and Mobile eHealth Literacies Among Patients With Diabetes: Development and Evaluation Study. Journal of Medical Internet Research 2023;25:e42497 View
  50. Tang M, Sharma Y, Goldsack J, Stern A. Building the Business Case for an Inclusive Approach to Digital Health Measurement With a Web App (Market Opportunity Calculator): Instrument Development Study. JMIR Formative Research 2023;7:e45713 View
  51. Bakker C, Wyatt T, Breth M, Gao G, Janeway L, Lee M, Martin C, Tiase V. Nurses’ Roles in mHealth App Development: Scoping Review. JMIR Nursing 2023;6:e46058 View
  52. Kabukye J, Namugga J, Mpamani C, Katumba A, Nakatumba-Nabende J, Nabuuma H, Musoke S, Nankya E, Soomre E, Nakisige C, Orem J. Implementing Smartphone-Based Telemedicine for Cervical Cancer Screening in Uganda: Qualitative Study of Stakeholders’ Perceptions. Journal of Medical Internet Research 2023;25:e45132 View
  53. Seixas A, Richards S, Moore J, Izeogu C, Hollimon L, Jin P, Jean-Louis G. Precision Recruitment and Engagement of Individuals at Risk for Diabetes and Hypertension in Clinical Trials (PREDHICT): A Randomized Trial for an E-Persuasive Mobile Application to Inform Decision Making about Clinical Trials. International Journal of Environmental Research and Public Health 2023;20(23):7115 View
  54. Abdi A, Guyo W, Moronge M. Moderating Effect of Mobile Technology on the Relationship Between Health Systems Governance and Service Delivery in National Referral Hospitals in Kenya. European Journal of Medical and Health Research 2024;2(1):18 View
  55. Ntovoli A, Anifanti M, Koukouvou G, Mitropoulos A, Kouidi E, Alexandris K. The Attitudes of Patients with Cardiovascular Diseases towards Online Exercise with the Mobile Monitoring of Their Health-Related Vital Signs. Sports 2024;12(2):47 View
  56. Koo Y, Kim E, Nam I. Development of a communication platform for patients with head and neck cancer for effective information delivery and improvement of doctor–patient relationship: application of treatment journey-based service blueprint. BMC Medical Informatics and Decision Making 2024;24(1) View
  57. Escandell-Rico F, Pérez-Fernández L. Evaluación de la asistencia sanitaria del paciente con diabetes en atención primaria: una revisión sistemática. Medicina de Familia. SEMERGEN 2024;50(7):102214 View
  58. Boels A, Vos R, Dijkhorst-Oei L, Rutten G. Effectiveness of diabetes self-management education and support via a smartphone application in insulin-treated patients with type 2 diabetes: results of a randomized controlled trial (TRIGGER study). BMJ Open Diabetes Research & Care 2019;7(1):e000981 View
  59. Oudbier S, Souget-Ruff S, Chen B, Ziesemer K, Meij H, Smets E. Implementation barriers and facilitators of remote monitoring, remote consultation and digital care platforms through the eyes of healthcare professionals: a review of reviews. BMJ Open 2024;14(6):e075833 View
  60. Dolničar V, Petrovčič A, Škafar M, Laznik J, Prevodnik K, Hvalič-Touzery S. Determinants of the intention to use mHealth in the future: Evidence from an intervention study of patients with chronic diseases in Slovenia. International Journal of Medical Informatics 2024;190:105537 View
  61. Piette J, Lee K, Bosworth H, Isaacs D, Cerrada C, Kainkaryam R, Liska J, Lee F, Kennedy A, Kerr D. Behavioral Engagement and Activation Model Study (BEAMS): A latent class analysis of adopters and non-adopters of digital health technologies among people with Type 2 diabetes. Translational Behavioral Medicine 2024;14(8):491 View
  62. Kwok G, Senger A, Sharma A, Mandato I, Devine K. Understanding the multilevel factors influencing the implementation of digital health interventions for supportive care in Adolescents and Young Adult (AYA) cancer survivorship: determinants of adopting mindfulness-based mobile applications. Implementation Science Communications 2024;5(1) View
  63. Ouedraogo I, Some B, Benedikter R, Diallo G. Health and eHealth Literacy of Patients With Diabetes in Low-Income Countries: Perspective From Guinea and Burkina Faso. JMIR Diabetes 2024;9:e55677 View

Books/Policy Documents

  1. Pouliakis A, Karakitsou E, Margari N. Mobile Health Applications for Quality Healthcare Delivery. View
  2. Tavares J, Santinha G, Gonçalves L, Forte T. Handbook of Research on Cultural Heritage and Its Impact on Territory Innovation and Development. View
  3. Or C, Holden R, Valdez R. Human-Automation Interaction. View
  4. Cavalcanti J. Design, User Experience, and Usability. View