Published on in Vol 6, No 3 (2018): March

Consumer Mobile Apps for Potential Drug-Drug Interaction Check: Systematic Review and Content Analysis Using the Mobile App Rating Scale (MARS)

Consumer Mobile Apps for Potential Drug-Drug Interaction Check: Systematic Review and Content Analysis Using the Mobile App Rating Scale (MARS)

Consumer Mobile Apps for Potential Drug-Drug Interaction Check: Systematic Review and Content Analysis Using the Mobile App Rating Scale (MARS)

Journals

  1. Mandracchia F, Llauradó E, Tarro L, Valls R, Solà R. Mobile Phone Apps for Food Allergies or Intolerances in App Stores: Systematic Search and Quality Assessment Using the Mobile App Rating Scale (MARS). JMIR mHealth and uHealth 2020;8(9):e18339 View
  2. Sharif M, Alkadhimi A. Patient focused oral hygiene apps: an assessment of quality (using MARS) and knowledge content. British Dental Journal 2019;227(5):383 View
  3. Collado-Borrell R, Escudero-Vilaplana V, Ribed A, Anglada-Martínez H, Martín-Conde M, Herranz-Alonso A, Codina-Jané C, Sanjurjo-Sáez M. Design of the functional requirements of a smartphone app for patients receiving oral antineoplastic agents: The e-OncoSalud® app. Journal of Oncology Pharmacy Practice 2020;26(1):105 View
  4. Stec M, Arbour M, Hines H. Client‐Centered Mobile Health Care Applications: Using the Mobile Application Rating Scale Instrument for Evidence‐Based Evaluation. Journal of Midwifery & Women's Health 2019;64(3):324 View
  5. Nozdrachev D, Zamyatin K, Taratukhin E. Digital tools for improving medication adherence. Russian Journal of Cardiology 2019;(12):96 View
  6. Chapman C, Champion K, Birrell L, Deen H, Brierley M, Stapinski L, Kay-Lambkin F, Newton N, Teesson M. Smartphone Apps About Crystal Methamphetamine (“Ice”): Systematic Search in App Stores and Assessment of Composition and Quality. JMIR mHealth and uHealth 2018;6(11):e10442 View
  7. Azad-Khaneghah P, Neubauer N, Miguel Cruz A, Liu L. Mobile health app usability and quality rating scales: a systematic review. Disability and Rehabilitation: Assistive Technology 2020:1 View
  8. Siddique A, Krebs M, Alvarez S, Greenspan I, Patel A, Kinsolving J, Koizumi N. Mobile Apps for the Care Management of Chronic Kidney and End-Stage Renal Diseases: Systematic Search in App Stores and Evaluation. JMIR mHealth and uHealth 2019;7(9):e12604 View
  9. Ng J, Mooghali M, Munford V. eHealth technologies assisting in identifying potential adverse interactions with complementary and alternative medicine (CAM) or standalone CAM adverse events or side effects: a scoping review. BMC Complementary Medicine and Therapies 2020;20(1) View
  10. Floryan M, Chow P, Schueller S, Ritterband L. The Model of Gamification Principles for Digital Health Interventions: Evaluation of Validity and Potential Utility. Journal of Medical Internet Research 2020;22(6):e16506 View
  11. Alamoodi A, Garfan S, Zaidan B, Zaidan A, Shuwandy M, Alaa M, Alsalem M, Mohammed A, Aleesa A, Albahri O, Al-Hussein W, Alobaidi O. A systematic review into the assessment of medical apps: motivations, challenges, recommendations and methodological aspect. Health and Technology 2020;10(5):1045 View
  12. Ng R, Carter S, El-Den S. The impact of mobile applications on medication adherence: a systematic review. Translational Behavioral Medicine 2019 View
  13. Hasan M, Rabbani R, Bachar S. Critical Care Pharmacist Using Free Drug-Interaction Checker Mobile Apps Can Ensure Medication Safety in Critically Ill Patients. Jundishapur Journal of Health Sciences 2020;12(2) View
  14. Akbulut M, Urun Y. Onco-cardiology: Drug-drug interactions of antineoplastic and cardiovascular drugs. Critical Reviews in Oncology/Hematology 2020;145:102822 View
  15. 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
  16. Burato S, Leonardi L, Antonazzo I, Raschi E, Ajolfi C, Baraghini M, Chiarello A, Delmonte V, Di Castri L, Donati M, Fadda A, Fedele D, Ferretti A, Gabrielli L, Gobbi S, Lughi S, Mazzari M, Pieraccini F, Renzetti A, Russi E, Scanelli C, Zanetti B, Poluzzi E. Comparing the Prevalence of Polypharmacy and Potential Drug-Drug Interactions in Nursing Homes and in the Community Dwelling Elderly of Emilia Romagna Region. Frontiers in Pharmacology 2021;11 View
  17. Ciapponi A, Donato M, Gülmezoglu A, Alconada T, Bardach A, Suppiah V. Mobile apps for detecting falsified and substandard drugs: A systematic review. PLOS ONE 2021;16(2):e0246061 View
  18. Escriche-Escuder A, De-Torres I, Roldán-Jiménez C, Martín-Martín J, Muro-Culebras A, González-Sánchez M, Ruiz-Muñoz M, Mayoral-Cleries F, Biró A, Tang W, Nikolova B, Salvatore A, Cuesta-Vargas A. Assessment of the Quality of Mobile Applications (Apps) for Management of Low Back Pain Using the Mobile App Rating Scale (MARS). International Journal of Environmental Research and Public Health 2020;17(24):9209 View
  19. Justad H, Askfors Y, Shemeikka T, Andersson M, Hammar T. Patients’ Use and Perceptions of a Drug-Drug Interaction Database: A Survey of Janusmed Interactions. Pharmacy 2021;9(1):23 View
  20. Pearsons A, Hanson C, Gallagher R, O’Carroll R, Khonsari S, Hanley J, Strachan F, Mills N, Quinn T, McKinstry B, McHale S, Stewart S, Zhang M, O’Connor S, Neubeck L. Atrial fibrillation self-management: a mobile telephone app scoping review and content analysis. European Journal of Cardiovascular Nursing 2021;20(4):305 View
  21. Dwyer A, de Almeida Neto A, Estival D, Li W, Lam-Cassettari C, Antoniou M. Suitability of Text-Based Communications for the Delivery of Psychological Therapeutic Services to Rural and Remote Communities: Scoping Review. JMIR Mental Health 2021;8(2):e19478 View
  22. Bustamante L, Gill Ménard C, Julien S, Romo L. Behavior Change Techniques in Popular Mobile Apps for Smoking Cessation in France: Content Analysis. JMIR mHealth and uHealth 2021;9(5):e26082 View
  23. Liu X, Jin F, Hsu J, Li D, Chen W. Comparing Smartphone Apps for Traditional Chinese Medicine and Modern Medicine in China: Systematic Search and Content Analysis. JMIR mHealth and uHealth 2021;9(3):e27406 View
  24. Hammar T, Hamqvist S, Zetterholm M, Jokela P, Ferati M. Current Knowledge about Providing Drug–Drug Interaction Services for Patients—A Scoping Review. Pharmacy 2021;9(2):69 View
  25. Gladman T, Tylee G, Gallagher S, Mair J, Grainger R. Measuring the Quality of Clinical Skills Mobile Apps for Student Learning: Systematic Search, Analysis, and Comparison of Two Measurement Scales. JMIR mHealth and uHealth 2021;9(4):e25377 View
  26. Shen C, Jiang B, Yang Q, Wang C, Lu K, Gu M, Yuan J. Mobile Apps for Drug–Drug Interaction Checks in Chinese App Stores: Systematic Review and Content Analysis. JMIR mHealth and uHealth 2021;9(6):e26262 View
  27. Lau N, O'Daffer A, Yi-Frazier J, Rosenberg A. Goldilocks and the Three Bears: A Just-Right Hybrid Model to Synthesize the Growing Landscape of Publicly Available Health-Related Mobile Apps. Journal of Medical Internet Research 2021;23(6):e27105 View
  28. Gasteiger N, Dowding D, Ali S, Scott A, Wilson P, van der Veer S. Sticky apps, not sticky hands: A systematic review and content synthesis of hand hygiene mobile apps. Journal of the American Medical Informatics Association 2021;28(9):2027 View
  29. Mira J. How to reduce medication errors in patients over the age of 65?. Expert Opinion on Pharmacotherapy 2021:1 View
  30. Lau N, O'Daffer A, Yi-Frazier J, Rosenberg A. Popular Evidence-Based Commercial Mental Health Apps: Analysis of Engagement, Functionality, Aesthetics, and Information Quality. JMIR mHealth and uHealth 2021;9(7):e29689 View

Books/Policy Documents

  1. Song M, Tabi K, Krausz M. Innovations in Global Mental Health. View
  2. Markowitsch H, Schreier M. Reframing der Bedürfnisse. View
  3. Nebert D, Zhang G. Emery and Rimoin's Principles and Practice of Medical Genetics and Genomics. View