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Nurona Azizah
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Journal of Nursing Science Update
Published by Universitas Brawijaya
ISSN : 28297075     EISSN : 28290003     DOI : https://doi.org/10.21776/ub.jik
Core Subject : Health,
Health Professions Nursing
Journal of Nursing Science Update (JNSU) [formerly known as Jurnal Ilmu Keperawatan: Journal of Nursing Science] is a media to share scientific studies about nursing published by the Department of Nursing, Faculty of Health Science, Universitas Brawijaya. This journal covered basic nursing sciences, pediatric nursing, medical surgical nursing, maternity nursing, emergency nursing, mental health nursing, community nursing, family nursing, gerontic nursing, and nursing, and health policy. This journal is delimited into topics related to original research, reviews, case studies, and letter to the editor, which contribute to the development of the nursing scientific field. We aim to promote the development of nursing research into clinical evidence in practice. Our audience is the national and international nursing community, educators, health professionals, policymakers, and interested public members worldwide.
Arjuna Subject : Keperawatan - Keperawatan (Lain-Lain)
Articles 12 Documents
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Search results for , issue "Vol. 5 No. 2 (2017)" : 12 Documents clear
FAMILY WITH A CHRONIC ILLNESS: ADAPTATION AND CHALLENGES Annisa Wuri Kartika; Wiwin Wiarsih; Henny Permatasari
Journal of Nursing Science Update (JNSU) Vol. 5 No. 2 (2017)
Publisher : Department of Nursing, Faculty of Health Sciencce, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (4540.62 KB) | DOI: 10.21776/ub.jik.2017.005.02.1

Abstract

Living with a chronic illness surely can affect clients and their families. Family capacity to adapt successfully can be quite different depend on characteristic of chronic illness and family perception about the illness. Consideration of the family’s view of illness support health care professionals in finding the best resources to assist family with chronic illness. The aim of this study was to describe impact of chronic illness to clients and their family. This research use a qualitative design with descriptive phenomenological approach. Using purposive-sampling, eight families living with chronic illness were participated in this study. Colaizzi’s method which involving participants to validate results was used in the research. The theme of this study are changes in the patient's health status, family system changes and family difficulties in maintenance tasks. Conclusion of this research is that family members are the biggest support to motivate clients and also challenged as they strive to assist member diagnosed with chronic condition to stay healthy. Involving clients and families in the decision making support the efforts of families in their self-management of chronic illness. Thus nurses could provide family counseling to strengthen family coping and capacity by providing family with adequate information about illness.   
COMPARATIVE ANALYSIS OF ACCURACY AMONG GLASGOW COMA SCALE, TRAUMA SCORE, AND REVISED TRAUMA SCORE AS PREDICTORS OF MORTALITY HEAD INJURY PATIENTS Riki Ristanto; Amin Zakaria; Heny Nurmayunita
Journal of Nursing Science Update (JNSU) Vol. 5 No. 2 (2017)
Publisher : Department of Nursing, Faculty of Health Sciencce, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (4553.679 KB) | DOI: 10.21776/ub.jik.2017.005.02.10

Abstract

Measurement of severity and mortality predictions in cases of head injury is an important step to support appropriate, effective and efficient clinical decision-making. Glasgow Coma Score, Trauma Score, and Revised Trauma Score are physiologycal scoring systems that can be used as predictors of mortality of head injury patients. The objective of the study was to know which scoring systems had the best accuracy as a predictor of mortality of head injured patients. The observational analytic study with this retrospective cohort design approach was carried out at dr. Iskak Tulungagung on Medical Record. Data taken from all patient medical records from January 2016 to July 2017 amounted to 150 medical records. Variables used were GCS, RTS, and TS scores when patients were admitted to hospital IGD as well as patient mortality data within 7 days of treatment. The data obtained is then processed with SPSS 20 using Mann Whitney Test, logistic regression and ROC curve comparison. Based on the results of multivariate logistic regression analysis, GCS accuracy results: sensitivity= 0.7586, specificity= 0.7934, PPV= 0.468, NPV= 0.932; RTS accuracy: sensitivity= 0.766, specificity= 0.8, PPV= 0.489, and NPV= 0.932; TS accuracy: sensitivity= 0.7, specificity= 0.783, PPV= 0.4468, NPV= 0.9126. The comparison graph analysis of ROC curve showed no significant difference of AUC between GCS, RTS, and TS because the difference was too low (<15%). There was no significant difference of accuracy between RTS, GCS, and TS use in predicting head injury mortality

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