سیویلیکا را در شبکه های اجتماعی دنبال نمایید.

Perception of Patient Safety Incident Reporting System among Healthcare Workers in Palestinian Government Hospital

Publish Year: 1402
Type: Journal paper
Language: English
View: 190

This Paper With 17 Page And PDF Format Ready To Download

Export:

Link to this Paper:

Document National Code:

JR_JMCH-6-9_004

Index date: 2 May 2023

Perception of Patient Safety Incident Reporting System among Healthcare Workers in Palestinian Government Hospital abstract

The aim of the current study was to determine the system perception for reporting patient safety incidents among workers in the field of health care, evaluating the factors affecting it, and working to improve it in Palestinian governmental hospitals. This study used a cross-sectional design and a survey based on a quantitative approach, in which data and information were collected from 103 participating healthcare providers (28 physicians and 75 nurses) from four government hospitals. Descriptive statistics were used, and data were examined and entered in SPSS, version 24. The most important conclusion of the study is that the opinion regarding reporting cases is equal for healthcare providers, as there was no significant correlation between the demographic characteristics of healthcare workers and their perception and attitude toward reporting, where there was also no significant correlation between the healthcare providers' perceptions and their attitudes and their participation or non-participation in the reporting system for patient safety incidents.

Perception of Patient Safety Incident Reporting System among Healthcare Workers in Palestinian Government Hospital Keywords:

Perception of Patient Safety Incident Reporting System among Healthcare Workers in Palestinian Government Hospital authors

Salam Al Ratrout

Ph.D. Student, Department of Nursing, Faculty of Health Sciences, Arab American University, Jenin, Palestine

مراجع و منابع این Paper:

لیست زیر مراجع و منابع استفاده شده در این Paper را نمایش می دهد. این مراجع به صورت کاملا ماشینی و بر اساس هوش مصنوعی استخراج شده اند و لذا ممکن است دارای اشکالاتی باشند که به مرور زمان دقت استخراج این محتوا افزایش می یابد. مراجعی که مقالات مربوط به آنها در سیویلیکا نمایه شده و پیدا شده اند، به خود Paper لینک شده اند :
. Menear M., Blanchette M.A., Demers-Payette O., Roy D., A ...
نمایش کامل مراجع