Published on in Vol 4, No 1 (2015): Jan-Jun

Acceptance Factors of Mobile Apps for Diabetes by Patients Aged 50 or Older: A Qualitative Study

Acceptance Factors of Mobile Apps for Diabetes by Patients Aged 50 or Older: A Qualitative Study

Acceptance Factors of Mobile Apps for Diabetes by Patients Aged 50 or Older: A Qualitative Study

Journals

  1. Shade M, Boron J, Manley N, Kupzyk K, Pullen C. Ease of Use and Usefulness of Medication Reminder Apps among Rural Aging Adults. Journal of Community Health Nursing 2019;36(3):105 View
  2. de Vries S, Wong L, Sutcliffe A, Houÿez F, Ruiz C, Mol P. Factors Influencing the Use of a Mobile App for Reporting Adverse Drug Reactions and Receiving Safety Information: A Qualitative Study. Drug Safety 2017;40(5):443 View
  3. Darby A, Strum M, Holmes E, Gatwood J. A Review of Nutritional Tracking Mobile Applications for Diabetes Patient Use. Diabetes Technology & Therapeutics 2016;18(3):200 View
  4. Georgsson M, Staggers N, Årsand E, Kushniruk A. Employing a user-centered cognitive walkthrough to evaluate a mHealth diabetes self-management application: A case study and beginning method validation. Journal of Biomedical Informatics 2019;91:103110 View
  5. Trawley S, Baptista S, Browne J, Pouwer F, Speight J. The Use of Mobile Applications Among Adults with Type 1 and Type 2 Diabetes: Results from the Second MILES—Australia (MILES-2) Study. Diabetes Technology & Therapeutics 2017;19(12):730 View
  6. Sill J, Steenbock B, Helmer S, Zeeb H, Pischke C. Apps zur Förderung von körperlicher Aktivität – Nutzung und Einstellungen bei Erwachsenen im Alter von 50 Jahren und älter. Prävention und Gesundheitsförderung 2019;14(2):109 View
  7. Chib A, Lin S. Theoretical Advancements in mHealth: A Systematic Review of Mobile Apps. Journal of Health Communication 2018;23(10-11):909 View
  8. Ankem K, Cho S, Simpson D. Nurses’ perceptions and problems in the usability of a medication safety app. Informatics for Health and Social Care 2019;44(1):48 View
  9. 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
  10. Dworakowska A, Aniszewska A, Kozłowska-Wojciechowska M. Older adults’ strategies to prevent episodic medication non-adherence: results from a qualitative study. European Geriatric Medicine 2019;10(2):327 View
  11. Issom D, Woldaregay A, Chomutare T, Bradway M, Årsand E, Hartvigsen G. Mobile applications for people with diabetes published between 2010 and 2015. Diabetes Management 2015;5(6):539 View
  12. Chantler T, Paton C, Velardo C, Triantafyllidis A, Shah S, Stoppani E, Conrad N, Fitzpatrick R, Tarassenko L, Rahimi K. Creating connections – the development of a mobile-health monitoring system for heart failure: Qualitative findings from a usability cohort study. DIGITAL HEALTH 2016;2:205520761667146 View
  13. Jeffrey B, Bagala M, Creighton A, Leavey T, Nicholls S, Wood C, Longman J, Barker J, Pit S. Mobile phone applications and their use in the self-management of Type 2 Diabetes Mellitus: a qualitative study among app users and non-app users. Diabetology & Metabolic Syndrome 2019;11(1) View
  14. Anderson K, Burford O, Emmerton L. App Chronic Disease Checklist: Protocol to Evaluate Mobile Apps for Chronic Disease Self-Management. JMIR Research Protocols 2016;5(4):e204 View
  15. DeLuca L, Toro-Ramos T, Michaelides A, Seng E, Swencionis C. Relationship Between Age and Weight Loss in Noom: Quasi-Experimental Study. JMIR Diabetes 2020;5(2):e18363 View
  16. Dupuis K, Tsotsos L. Technology for Remote Health Monitoring in an Older Population: A Role for Mobile Devices. Multimodal Technologies and Interaction 2018;2(3):43 View
  17. Lee D, Veneri D, Goodworth A. Self-Management Problem-Solving Tools for Lower-Limb Prosthesis Wearers. Journal of Prosthetics and Orthotics 2019;31(1):33 View
  18. Lang C, Scheibe M, Voigt K, Hübsch G, Mocke L, Schmitt J, Bergmann A, Holthoff-Detto V. Motive für die Nichtakzeptanz und Nichtnutzung einer Telemonitoring-Anwendung im häuslichen Umfeld durch multimorbide Patienten über 65 Jahre. Zeitschrift für Evidenz, Fortbildung und Qualität im Gesundheitswesen 2019;141-142:76 View
  19. Osborn C, van Ginkel J, Rodbard D, Heyman M, Marrero D, Huddleston B, Dachis J. One Drop | Mobile: An Evaluation of Hemoglobin A1c Improvement Linked to App Engagement. JMIR Diabetes 2017;2(2):e21 View
  20. Brew-Sam N, Chib A, Rossmann C. Differential influences of social support on app use for diabetes self-management – a mixed methods approach. BMC Medical Informatics and Decision Making 2020;20(1) View
  21. Grammes J, Küstner E. Diabetestechnologie bei älteren Patienten. Der Diabetologe 2016;12(8):572 View
  22. Kabeza C, Harst L, Schwarz P, Timpel P. A qualitative study of users’ experiences after 3 months: the first Rwandan diabetes self-management Smartphone application “Kir’App”. Therapeutic Advances in Endocrinology and Metabolism 2020;11:204201882091451 View
  23. Steinert A, Haesner M, Steinhagen-Thiessen E. App-basiertes Selbstmonitoring bei Typ-2-Diabetes. Zeitschrift für Gerontologie und Geriatrie 2017;50(6):516 View
  24. Izahar S, Lean Q, Hameed M, Murugiah M, Patel R, Al-Worafi Y, Wong T, Ming L. Content Analysis of Mobile Health Applications on Diabetes Mellitus. Frontiers in Endocrinology 2017;8 View
  25. Conway C, Kelechi T, Gregoski M. Measuring Medication Adherence Among Type 2 Diabetes: An Integrative Review. Journal of Nursing Measurement 2020;28(1):95 View
  26. Baptista S, Wadley G, Bird D, Oldenburg B, Speight J. User Experiences With a Type 2 Diabetes Coaching App: Qualitative Study. JMIR Diabetes 2020;5(3):e16692 View
  27. Georgsson M, Staggers N. Patients' Perceptions and Experiences of a mHealth Diabetes Self-management System. CIN: Computers, Informatics, Nursing 2017;35(3):122 View
  28. Birkhoff S, Smeltzer S. Perceptions of Smartphone User‐Centered Mobile Health Tracking Apps Across Various Chronic Illness Populations: An Integrative Review. Journal of Nursing Scholarship 2017;49(4):371 View
  29. Portz J, Fruhauf C, Bull S, Boxer R, Bekelman D, Casillas A, Gleason K, Bayliss E. “Call a Teenager… That’s What I Do!” - Grandchildren Help Older Adults Use New Technologies: Qualitative Study. JMIR Aging 2019;2(1):e13713 View
  30. von Storch K, Schlomann A, Rietz C, Polidori M, Woopen C. Wearables zur Unterstützung des Selbstmanagements von älteren Menschen mit chronischen Erkrankungen. Zeitschrift für Gerontologie und Geriatrie 2018;51(7):791 View
  31. Pena M, Stenvinkel P, Kretzler M, Adu D, Agarwal S, Coresh J, Feldman H, Fogo A, Gansevoort R, Harris D, Jha V, Liu Z, Luyckx V, Massy Z, Mehta R, Nelson R, O'Donoghue D, Obrador G, Roberts C, Sola L, Sumaili E, Tatiyanupanwong S, Thomas B, Wiecek A, Parikh C, Heerspink H. Strategies to improve monitoring disease progression, assessing cardiovascular risk, and defining prognostic biomarkers in chronic kidney disease. Kidney International Supplements 2017;7(2):107 View
  32. Klonoff D, Kerr D. Digital Diabetes Communication. Journal of Diabetes Science and Technology 2016;10(5):1003 View
  33. Lithgow K, Edwards A, Rabi D. Smartphone App Use for Diabetes Management: Evaluating Patient Perspectives. JMIR Diabetes 2017;2(1):e2 View
  34. Harst L, Lantzsch H, Scheibe M. Theories Predicting End-User Acceptance of Telemedicine Use: Systematic Review. Journal of Medical Internet Research 2019;21(5):e13117 View
  35. Rasche P, Mertens A, Miron-Shatz T, Berzon C, Schlick C, Jahn M, Becker S, Fürnsinn C. Seamless recording of glucometer measurements among older experienced diabetic patients – A study of perception and usability. PLOS ONE 2018;13(5):e0197455 View
  36. Xie B, Su Z, Zhang W, Cai R. Chinese Cardiovascular Disease Mobile Apps’ Information Types, Information Quality, and Interactive Functions for Self-Management: Systematic Review. JMIR mHealth and uHealth 2017;5(12):e195 View
  37. Maslen S, Lupton D. Enacting chronic illness with and through digital media: a feminist new materialist approach. Information, Communication & Society 2020;23(11):1640 View
  38. Shemesh T, Barnoy S. Assessment of the Intention to Use Mobile Health Applications Using a Technology Acceptance Model in an Israeli Adult Population. Telemedicine and e-Health 2020;26(9):1141 View
  39. Böhm A, Jensen M, Sørensen M, Stargardt T. Real-World Evidence of User Engagement With Mobile Health for Diabetes Management: Longitudinal Observational Study. JMIR mHealth and uHealth 2020;8(11):e22212 View
  40. Clark M, Clark T, Bhatti A, Aungst T. The Rise of Digital Health and Potential Implications for Pharmacy Practice. Journal of Contemporary Pharmacy Practice 2017;64(1):32 View
  41. Akdur G, Aydin M, Akdur G. Adoption of Mobile Health Apps in Dietetic Practice: Case Study of Diyetkolik. JMIR mHealth and uHealth 2020;8(10):e16911 View
  42. Issom D, Hardy-Dessources M, Romana M, Hartvigsen G, Lovis C. Toward a Conversational Agent to Support the Self-Management of Adults and Young Adults With Sickle Cell Disease: Usability and Usefulness Study. Frontiers in Digital Health 2021;3 View
  43. Lauffenburger J, Barlev R, Sears E, Keller P, McDonnell M, Yom-Tov E, Fontanet C, Hanken K, Haff N, Choudhry N. Preferences for mHealth Technology and Text Messaging Communication in Patients With Type 2 Diabetes: Qualitative Interview Study. Journal of Medical Internet Research 2021;23(6):e25958 View
  44. Scheibe M, Lang C, Druschke D, Arnold K, Luntz E, Schmitt J, Holthoff-Detto V. Independent Use of a Home-Based Telemonitoring App by Older Patients With Multimorbidity and Mild Cognitive Impairment: Qualitative Study. JMIR Human Factors 2021;8(3):e27156 View
  45. Knapp A, Harst L, Hager S, Schmitt J, Scheibe M. Use of Patient-Reported Outcome Measures and Patient-Reported Experience Measures Within Evaluation Studies of Telemedicine Applications: Systematic Review. Journal of Medical Internet Research 2021;23(11):e30042 View
  46. Bults M, van Leersum C, Olthuis T, Bekhuis R, den Ouden M. Barriers and Drivers Regarding the Use of Mobile Health Apps Among Patients With Type 2 Diabetes Mellitus in the Netherlands: Explanatory Sequential Design Study. JMIR Diabetes 2022;7(1):e31451 View
  47. Tews D, Gouveri E, Simon J, Marck C. A Smartphone-Based Application to Assist Insulin Titration in Patients Undergoing Basal Insulin-Supported Oral Antidiabetic Treatment. Journal of Diabetes Science and Technology 2023;17(4):988 View
  48. Kalańska-Łukasik B, Gładyś A, Jadczyk T, Gruz-Kwapisz M, Wojakowski W, Kowalska M. Readiness for Telemedical Services in Patients With Cardiovascular Diseases: Cross-sectional Study. JMIR Formative Research 2022;6(10):e33769 View
  49. Othman M, Al-Wattary N, Khudadad H, Dughmosh R, Furuya-Kanamori L, Doi S, Daher-Nashif S. Perspectives of Persons With Type 2 Diabetes Toward Diabetes Self-Management: A Qualitative Study. Health Education & Behavior 2022;49(4):680 View
  50. Tran-Nguyen K, Berger C, Bennett R, Wall M, Morin S, Rajabiyazdi F. Mobile App Prototype in Older Adults for Postfracture Acute Pain Management: User-Centered Design Approach. JMIR Aging 2022;5(4):e37772 View
  51. LoBuono D, Shea K, Tovar A, Leedahl S, Mahler L, Xu F, Lofgren I. Acceptance and perception of digital health for managing nutrition in people with Parkinson's disease and their caregivers and their digital competence in the United States: A mixed‐methods study. Health Science Reports 2021;4(4) View
  52. Hou C, Carter B, Hewitt J, Francisa T, Mayor S. Do Mobile Phone Applications Improve Glycemic Control (HbA1c) in the Self-management of Diabetes? A Systematic Review, Meta-analysis, and GRADE of 14 Randomized Trials. Diabetes Care 2016;39(11):2089 View
  53. Biviji R, Williams K, Vest J, Dixon B, Cullen T, Harle C. Consumer Perspectives on Maternal and Infant Health Apps: Qualitative Content Analysis. Journal of Medical Internet Research 2021;23(9):e27403 View
  54. Ramsden R, Pit S, Colbran R, Payne K, Tan A, Edwards M. Development of a framework to promote rural health workforce capability through digital solutions: A qualitative study of user perspectives. DIGITAL HEALTH 2022;8:205520762210890 View
  55. 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
  56. Breckner A, Litke N, Göbl L, Wiezorreck L, Miksch A, Szecsenyi J, Wensing M, Weis A. Effects and Processes of an mHealth Intervention for the Management of Chronic Diseases: Prospective Observational Study. JMIR Formative Research 2022;6(8):e34786 View
  57. Schretzlmaier P, Hecker A, Ammenwerth E. Suitability of the Unified Theory of Acceptance and Use of Technology 2 Model for Predicting mHealth Acceptance Using Diabetes as an Example: Qualitative Methods Triangulation Study. JMIR Human Factors 2022;9(1):e34918 View
  58. Kim H, Xu Y, Wang Y. Overcoming the Mental Health Stigma Through m-Health Apps: Results from the Healthy Minds Study. Telemedicine and e-Health 2022;28(10):1534 View
  59. Jacobs-Basadien M, Pather S, Petersen F. The role of culture in the adoption of mobile applications for the self-management of diabetes in low resourced urban communities. Universal Access in the Information Society 2022 View
  60. Workman A, Johnston F, Campbell S, Williamson G, Lucani C, Bowman D, Cooling N, Jones P. Evaluating User Preferences, Comprehension, and Trust in Apps for Environmental Health Hazards: Qualitative Case Study. JMIR Formative Research 2022;6(12):e38471 View
  61. Harakeh Z, Van Keulen H, Hogenelst K, Otten W, De Hoogh I, Van Empelen P. Predictors of the Acceptance of an Electronic Coach Targeting Self-management of Patients With Type 2 Diabetes: Web-Based Survey. JMIR Formative Research 2022;6(8):e34737 View
  62. LoBuono D, Shea K, Reed M, Tovar A, Leedahl S, Xu F, Mahler L, Lofgren I. The Facilitators and Barriers to Digital Health for Managing Nutrition in People With Parkinson's Disease and Their Caregivers: A Formative, Qualitative Study. Journal of Nutrition Education and Behavior 2023;55(8):553 View
  63. Sze W, Kow S. Perspectives and Needs of Malaysian Patients With Diabetes for a Mobile Health App Support on Self-Management of Diabetes: Qualitative Study. JMIR Diabetes 2023;8:e40968 View
  64. Schretzlmaier P, Hecker A, Ammenwerth E. Extension of the Unified Theory of Acceptance and Use of Technology 2 model for predicting mHealth acceptance using diabetes as an example: a cross-sectional validation study. BMJ Health & Care Informatics 2022;29(1):e100640 View

Books/Policy Documents

  1. Plecher D, Eichhorn C, Steinmetz C, Klinker G. Digital Human Modeling and Applications in Health, Safety, Ergonomics and Risk Management. Posture, Motion and Health. View
  2. Kavanagh D. The Handbook of Behavior Change. View
  3. Petersen F, Jacobs M, Pather S. Responsible Design, Implementation and Use of Information and Communication Technology. View
  4. Petersen F, Baker A, Pather S, Tucker W. Responsible Design, Implementation and Use of Information and Communication Technology. View
  5. Eichhorn C, Plecher D, Lurz M, Leipold N, Böhm M, Krcmar H, Ott A, Volkert D, Hiyama A, Klinker G. Human Aspects of IT for the Aged Population. Healthy and Active Aging. View
  6. de Lima Salgado A, Agostini do Amaral L, de Mattos Fortes R, Hortes Nisihara Chagas M, Joyce G. Design, User Experience, and Usability: Theory, Methodology, and Management. View
  7. Wang L, He D, Ni X, Zou R, Yuan X, Shang Y, Hu X, Geng X, Jiang K, Dong J, Wu H. Smart Health. View
  8. Noleto J, José Costa Rodrigues V, Carvalho R, Ribeiro dos Santos Júnior F. Human Aspects of IT for the Aged Population. Design for the Elderly and Technology Acceptance. View
  9. Al Katheeri H, Shehzad N, Jabeen F. Digital Transformation in Healthcare in Post-Covid-19 Times. View