Development Model of Basic ECG Algorithm Interpretation based on Android Application to Increase Ability of Nurses

Authors

  • Nursalam Nursalam
    nursalam@fkp.unair.ac.id
    Faculty of Nursing, Universitas Airlangga, Mulyorejo Street, Campus C Unair, Surabaya, Indonesia
  • Nissa Aruming Sila Department of Cardiology and Vascular Medicine, Faculty of Medicine, Universitas Airlangga, Mayjen Prof. Dr. Moestopo Street, Surabaya, Indonesia, 60132
  • M Yusuf Department of Cardiology and Vascular Medicine, Faculty of Medicine, Universitas Airlangga, Mayjen Prof. Dr. Moestopo Street, Surabaya, Indonesia, 60132
  • Diah Priyantini Faculty of Health Science, Muhammadiyah University of Surabaya, Indonesia
  • Daviq Ayatulloh Faculty of Health Science, Universitas Gresik, Gresik, Indonesia
February 26, 2024

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Introduction: ECG interpretation ability by nurses is still not appropriate, thus affecting the accuracy and speed of the next action that will be given to patients to reduce mortality. This study aimed to develop the use of an Android system based ECG interpretation algorithm application to improve the ability of nurse.

 Methods: Research development design to develop the Android system based ECG interpretation algorithm application. The sampling method used purposive sampling as many as 90 nurses in Universitas Airlangga Hospital, Surabaya, Indonesia. The independent variables were interpretation skills (rhythm, frequency, pacemaker, axis, extrasistole, block, enlargement of heart muscle, coronary heart disease, conclusion). The instruments that are used are ECG recording, ECG interpretation sheet, and focus group disscusion. The analysis used an independent t-test with a significance level of α ≤ 0.05.

 Results: The results of developing an ECG interpretation algorithm application based on the Android system have received recommendations from experts and feasibility tests have been carried out. There was a relationship between basic ECG interpretation capabilities with the use of an android system based ECG interpretation algorithm application. Increasing the ability of nurses had p value of 0,000.

Conclusion: The application of an ECG interpretation algorithm based on an android system can improve nurses' abilities in interpreting basic ECG. For future researchers, it is necessary to develop and refine the Android system-based ECG interpretation algorithm application and this can be applied on a case-by-case basis.