Sila, Nissa Aruming
Unknown Affiliation

Published : 2 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search

Kombinasi Imajinasi Terpimpin dan Nafas Dalam terhadap Penurunan Kecemasan Pasien dengan Premature Ventricular Contraction (PVC) Kurniawati, Ninuk Dian; Sila, Nissa Aruming; Ariningpraja, Rustiana Tasya; Hariyati, Leli Ika; Suciari, Ana
Journal of Telenursing (JOTING) Vol 6 No 1 (2024): Journal of Telenursing (JOTING)
Publisher : Institut Penelitian Matematika, Komputer, Keperawatan, Pendidikan dan Ekonomi (IPM2KPE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31539/joting.v6i1.8948

Abstract

This study aims to explore interventions to prevent anxiety in Premature ventricular complex (PVC) patients in the ICCU treatment room. This research method uses a case study approach on three patients with PVC with almost the exact etiology and experiencing anxiety since the start of treatment and a combination of interventions carried out for three consecutive days. The results show that there are differences in anxiety parameters before and after intervention in each patient. Anxiety parameters were assessed from the first day to the third day, respectively, before the intervention and after the intervention. Conclusion: The combination of guided imagery intervention and deep breathing relaxation can help reduce anxiety in patients with PVC. Keywords: Guided imagination, Anxiety, Deep Breathing, Premature Ventricular Complex
Development Model of Basic ECG Algorithm Interpretation based on Android Application to Increase Ability of Nurses Nursalam, Nursalam; Sila, Nissa Aruming; Yusuf, M; Priyantini, Diah; Ayatulloh, Daviq
Critical Medical and Surgical Nursing Journal Vol. 13 No. 1 (2024): MARCH 2024
Publisher : Universitas Airlangga

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20473/cmsnj.v13i1.51631

Abstract

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.