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All Journal Jendela Nursing Journal (JNJ)
M Sobirin Mohtar
Sari Mulia University Banjarmasin
Health Professions Nursing

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e-Counseling Education Services (e-CES) Effect on Quality of Life Post-Stroke Patients During the Covid-19 Pandemic M Sobirin Mohtar; Malisa Ariani
JENDELA NURSING JOURNAL Vol 6, No 1 (2022): JUNE 2022
Publisher : Poltekkes Kemenkes Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31983/jnj.v6i1.8605

Abstract

Background: the COVID-19 pandemic has significantly reduced the quality of life for people who have a history of chronic disease, one of which is stroke. Along with the increasing number of post-stroke patients during this pandemic related to physical function and vitality, of course, it affects the inability of his capacity to check with health services. The implementation of education is directly hit by time constraints and the pandemic situation, therefore it is necessary to have individual counseling through e-Counseling.Purpose: to analyze the effect of e-Counseling Education Services (e-CES) on WHO Quality Of Life (WHOQOL) Post-Stroke Patients during the Covid-19 Pandemic.Methods: pre-experimental with pre-test post-test one group design. The population in this study were people with post-stroke disease who were in the Banjarmasin city area and were affected by the pandemic. The sampling technique in this study was accidental sampling. The stages are identifying several areas affected by the pandemic, socializing health counseling online, followed by e-CES intervention and seeing the impact on WHO Quality of Life. Paired t-test was used in analayzing the data.Results: the pretest score with a mean of 72.67 was obtained, while in the post-test there was an increase in the average value of 75.23 with each p-value = 0.027.Conclusion: there is an effect of e-Counseling Education Services (e-CES) on the WHO Quality of Life (WHOQOL) of post-stroke patients during the Covid-19 pandemic.
The Gadjah Mada Stroke Algorithm Scoring System (ASGM) and Guy's Hospital Stroke Score (GHSS) in Determining the Type of Stroke Emergency as A Substitute for the CT-Scan in the Emergency Room M Sobirin Mohtar; Cynthia Eka Fahyuning Tjomiadi; Ahmad Apriannor
JENDELA NURSING JOURNAL Vol 8, No 1 (2024): JUNE 2024
Publisher : Poltekkes Kemenkes Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31983/jnj.v8i1.10293

Abstract

Background: Nurses need a diagnostic tool in the form of a simple scoring system including the Gadjah Mada Stroke Algorithm (ASGM) and Guy's Hospital Stroke Score (GHSS) in determining the type of stroke and preventing delays.Purpose: Analyzing the comparison of the ASGM and GHSS scoring systems in determining the type of stroke emergency.Methods: This research method was a quantitative pre-experimental design (posttest only design). The population was all stroke patients in the emergency room with 30 samples and the sampling technique is accidental sampling. As for the stages for each respondent, an ASGM assessment was carried out which consisted of 3 components and GHSS 9 components. The statistical test used is the Paired Sample T-test.Results: Based on the results of the Paired Sample T-test was the value of Sig. of 0.000 0.05. The average difference in the duration of determining the type of emergency and nursing diagnoses on the assessment system and ASGM and GHSS is 7.6 minutes. Furthermore, it also shows lower data of 7.066 and upper 8.134. This shows that the duration range for determining the type of emergency using ASGM is around 7.1 – 8.1 minutes faster compared to GHSS. Based on the accuracy test that ASGM has a sensitivity level of 86.66% and a specificity of 96.66%, while GHSS has a sensitivity level of 56.66% and a specificity of 63.33%.Conclusion: ASGM and GHSS assessment methods are effective in determining the type of emergency in stroke patients in the emergency department.
Co-Authors Ahmad Apriannor Cynthia Eka Fahyuning Tjomiadi Malisa Ariani