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Published online: 2024-07-02

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The impact of the Chaser application on the medical knowledge of cardiac patients

Abstract

Background: Cardiological patients are frequently treated with anticoagulation therapy. There are benefits, but also an increased risk of bleeding, which may be life-threatening. Chaser is a mobile application, which was aimed to educate patients taking anticoagulants to improve patients’ knowledge and further adherence. Objective: The aim of this study was to evaluate Chaser in patients taking anticoagulant medica-tions, check the application’s usefulness, and whether it contributes to the increase of patients' knowledge of anticoagulant treatment. Methods: Consecutive 50 participants were recruited for the study and were access to the applica-tion. Inclusion criteria were being on anticoagulant therapy and being able to use a mobile phone with Internet access. All patients have had Chaser installed on their phones for at least 24 hours. The patients were given a questionnaire two times: before intervention and one day later. It was created by the study authors and tests the knowledge of patients in the field of cardiology - anticoagulation treatment, symptoms, and diseases. Results: There were 29 (58%) males and 21 (42%) females. The mean age of the patients was 66 years old. All patients suffered from at least one cardiological disease, which required anticoagu-lation. The majority (29 of 50 (62%)) participants improved their score and 18 of 50 (36%) oth-er participants had the same result. The rest had worse scores. Conclusions: The Chaser has the potential to increase patient education and self-care in the com-plex treatment of antiplatelet therapy. There is a possibility that this will contribute to the effec-tiveness and safety of the treatment.

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References

  1. WHO, Prevention and control of noncommunicable diseases: guidelines for primary health care in low resource settings. ; 2012.
  2. Tsao CW, Aday AW, Almarzooq ZI, et al. Heart disease and stroke statistics-2022 update: a report from the American Heart Association. Circulation. 2022; 145(8): e153–e639.
  3. Hindricks G, Potpara T, Dagres N, et al. Corrigendum to: 2020 ESC Guidelines for the diagnosis and management of atrial fibrillation developed in collaboration with the European Association for Cardio-Thoracic Surgery (EACTS): The Task Force for the diagnosis and management of atrial fibrillation of the European Society of Cardiology (ESC) Developed with the special contribution of the European Heart Rhythm Association (EHRA) of the ESC. Eur Heart J. 2021; 42(40): 4194.
  4. Hong J, Ahn SY, Lee YJ, et al. Korean Society of Hematology Thrombosis and Hemostasis Working Party. Updated recommendations for the treatment of venous thromboembolism. Blood Res. 2021; 56(1): 6–16.
  5. Knuuti J. 2019 ESC Guidelines for the diagnosis and management of chronic coronary syndromes The Task Force for the diagnosis and management of chronic coronary syndromes of the European Society of Cardiology (ESC). Russian Journal of Cardiology. 2020; 25(2): 119–180.
  6. Hawes EM, Viera AJ. Anticoagulation: indications and risk classification schemes. FP Essent. 2014; 422: 11–7.
  7. Harter K, Levine M, Henderson SO. Anticoagulation drug therapy: a review. West J Emerg Med. 2015; 16(1): 11–17.
  8. Al-Arkee S, Mason J, Lane DA, et al. Mobile apps to improve medication adherence in cardiovascular disease: systematic review and meta-analysis. J Med Internet Res. 2021; 23(5): e24190.
  9. Free C, Phillips G, Galli L, et al. The effectiveness of mobile-health technology-based health behaviour change or disease management interventions for health care consumers: a systematic review. PLoS Med. 2013; 10(1): e1001362.
  10. Pfaeffli Dale L, Dobson R, Whittaker R, et al. The effectiveness of mobile-health behaviour change interventions for cardiovascular disease self-management: a systematic review. Eur J Prev Cardiol. 2016; 23(8): 801–817.
  11. Gandhi S, Chen S, Hong L, et al. Effect of mobile health interventions on the secondary prevention of cardiovascular disease: systematic review and meta-analysis. Can J Cardiol. 2017; 33(2): 219–231.
  12. Mosa AS, Yoo I, Sheets L. A systematic review of healthcare applications for smartphones. BMC Med Inform Decis Mak. 2012; 12: 67.
  13. Payne KF, Wharrad H, Watts K. Smartphone and medical related App use among medical students and junior doctors in the United Kingdom (UK): a regional survey. BMC Med Inform Decis Mak. 2012; 12: 121.
  14. Lu C, Hu Y, Xie J, et al. The use of mobile health applications to improve patient experience: cross-sectional study in chinese public hospitals. JMIR Mhealth Uhealth. 2018; 6(5): e126.
  15. Miller TA. Health literacy and adherence to medical treatment in chronic and acute illness: a meta-analysis. Patient Educ Couns. 2016; 99(7): 1079–1086.
  16. Ventola CL. Mobile Devices and Apps. P T. 2014; 39(5): 356–364.
  17. Liu F, Song T, Yu P, et al. Efficacy of an mHealth app to support patients' self-management of hypertension: randomized controlled trial. J Med Internet Res. 2023; 25: e43809.
  18. Guo Y, Chen Y, Lane DA, et al. Mobile health technology for atrial fibrillation management integrating decision support, education, and patient involvement: mAF app trial. Am J Med. 2017; 130(12): 1388–1396.e6.