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International Journal of Advanced Engineering, Management and Science


Analysis of The Relationship of Individual Commitment With Compliance Behavior in Using Personal Protective Equipment (PPE)

( Vol-2,Issue-2,February 2016 )

Author(s): Lina Yuliana, Tjipto Suwandi, M. Bagus Qomaruddin



Total View : 1000
Downloads : 164
Page No: 01-07
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Keywords:

Compliance Behavior, Personal Protective Equipment, Hospital.

Abstract:

Healthcare Associated Infections (HAIs) is one of risks for nurses in the hospital. Several diseases related to the HAIs, such as HIV and hepatitis. Compliance behavior in using PPE is one of prevention to control the hazards. Accident rates in Hospital X Surabaya for patient's body fluid and needle stick injury are 51.1% and 46.7%. Objective: This study was aimed to analyze individual commitment related to a compliance behavior in using personal protective equipment (PPE) on nurses in inpatient installation. Methods: This research was a quantitative with cross sectional study design and observational study. The data were collected on November 2015 with a questionnaire and observation checklist. The total sample technique was used to get the sample (n = 29). Conclusion: The correlation's of age (r =-0.170), sex (r = 0.336), work period (r = 0.051), employment status (r = 0.340), knowledge (r = 0.394), attitude (r = 0.215), individual commitment (r = 0.515), occupation factor (r = 0.378), work shift (r = 0.446). High Commitment caused the increased of the level compliance behavior. Ordinal regression test showed interaction variable of knowledge and individual commitment (p = 0. 000) became influenced variables to compliance behavior in using PPE. Based on the Pseudo R Square, the value of Nagelkerke is 0.483 , it means 48.3% that variables were able to explain variation in compliance behavior in using PPE. Recommended to hospital management to increase the commitment and knowledge with hold the workshop and discussed the forum about compliance behavior in using PPE to prevent healthcare associated infections (HAIs).

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