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Nur Ainiyah Shobibatur Rohmah Izzah Chilyatiz Zahroh Difran Nobel Bistara Imamatul Faizah

Abstract

Background: Successful stroke management depends on the speed, accuracy, and timeliness of the initial treatment. Stroke patients with immediate medical help can minimize permanent disability and even mortality.


Objective: This study analyzes the correlation between family knowledge on prehospital stroke detection with hospital arrival time.


Method: The research design was correlational analytic with a cross-sectional approach. This paper was conducted at the Naval Hospital Dr.Ramelan, Surabaya, from January to February 2019, with ethical clearance from the hospital. The independent variable was family knowledge on prehospital stroke detection, and the dependent variable was hospital arrival time. There were 115 population and 111 samples by consecutive sampling technique. The instrument to measure family knowledge was a questionnaire about prehospital stroke detection consisted of 30 items, while to evaluate hospital arrival time was data from the medical record. The data analysis used the Mann-Whitney statistical test with a significance of 0.05.


Result: Most respondents had adequate knowledge regarding prehospital stroke detection (54.1%) and early hospital arrival time (59.5%).  There was a correlation between family knowledge on prehospital stroke detection and hospital arrival time in stroke patients (p=0.000).


Conclusion: The better family knowledge on prehospital stroke detection, the faster hospital time arrival. Health workers should give health education on prehospital stroke detection to prevent delayed hospital arrival. Further research could involve electronic and social media to improve knowledge on prehospital stroke detection.

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How to Cite
Ainiyah, N., Izzah, S. R. ., Zahroh, C. ., Bistara, D. N., & Faizah, I. . (2021). FAMILY KNOWLEDGE ON PREHOSPITAL STROKE DETECTION CORRELATES WITH HOSPITAL ARRIVAL TIME IN STROKE PATIENTS AT THE NAVAL HOSPITAL DR. RAMELAN, SURABAYA. Nurse and Holistic Care, 1(2), 73–81. https://doi.org/10.33086/nhc.v1i2.2221
Section
Articles
Family knowledge, hospital arrival time, preshospital stroke detection, stroke

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Nur Ainiyah

Shobibatur Rohmah Izzah, Universitas Nahdlatul Ulama Surabaya, East Java, Indonesia

Chilyatiz Zahroh, Universitas Nahdalatul Ulama Surabaya

Difran Nobel Bistara, Universitas Nahdlatul Ulama Surabaya

Imamatul Faizah, Universitas Nahdlatul Ulama Surabaya, East Java, Indonesia