work environment factor
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2019 ◽  
Vol 8 (2) ◽  
pp. 157
Author(s):  
Basok Buhari ◽  
Rizanda Machmud ◽  
Dorisnita Dorisnita

Abstract Background: The Nursing service are influenced by the behavior nurses in implementation of patient safety the Contributes to adverse event or incident patient safety in accredited public hospital. This study aims to analyses most dominant determinant factors associated with patient safety implementation based on safety attitudes questionnaire (SAQ) in accredited hospital. Methods: This study is a cross sectional study with quantitative method conducted on nurses who work in accredited hospital. Samples of 190 nurses were included in this study by using proportional random sampling technique. The data were analyzed by using multiple logistic regression with backward LR method. Results: Total 190 participant were (22.1%) males and 148 (77.9%) females. Most participant had completed Diploma of vocational education 157 (82.6%). The most dominan factors associated with implementation of patient safety base on Safety Attitude Questionnaire is the work environment factor (p 0.001; OR 3.187). Conclusion: It is proven that a good work environment factor will improve the behavior of nurses in implementing patient safety. This research recommends to develop policy toward evaluation effort of implementation patient safety, as well as evaluation of all nursing procedures in terms of patient safety consideration to external or internal work environment. Key Word: Accredited Hospital; Patient Safety; Safety Attitude Questionnaire (SAQ), Work Environment


2017 ◽  
Vol 1 (1) ◽  
pp. 1 ◽  
Author(s):  
Arta Rusidarma Putra ◽  
Anggar Guritno

Many consequences caused by the condition of the work environment is not good. This can be caused by noise, lighting and temperature conditions. We need to determine the optimal value of these work environment factors in order to improve operator performance. The correlation between operator performance with work environment factor such as noise, lighting and temperature are found out by develope empirical model to describe relation between operator performance with work environment factor. The model is used to optimize operator performance. This research use surface response method. The experimental design used a central composite design. The research was conducted by experiments in the Laboratory of Analysis of Work Design and Ergonomics of Islamic University of Indonesia Yogyakarta. Variables taken are noise, lighting and temperature. Range for noise is 40 dB to 75 dB, lighting 200 lux to 700 lux, and temperatures between 20ºC to 35ºC. The experiment carried out was the resistor color matching for 5 minutes according to the combination of research variables that have been determined in the surface response method. Output is the number of truths that occur. Using this optimization model, optimal working environment conditions for noise of 60.5 dB, 354.5 lux illumination and temperature of 25.8º.


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