Examinando por Autor "Bravo Saucedo, Paulina Karin Del Pilar"

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    Working conditions and work risks in the staff of the sterilization center of the Lambayeque regional hospital, 2023
    (Universidad Privada Norbert Wiener, 2024-02-04) Bravo Saucedo, Paulina Karin Del Pilar; Camarena Chamaya, Luis Miguel
    Introduction: The health system worldwide has revealed various deficiencies that have endangered the integrity of the staff. In hospital care, one of the areas with the greatest exposure to risks is the Sterilization Center, which is the environment responsible for prevention. of infections acquired in the hospital through the disinfection of reusable objects and equipment. Introduction: The health system worldwide has revealed various deficiencies that have endangered the integrity of the staff. In hospital care, one of the areas with the greatest exposure to risks is the Sterilization Center, which is the environment responsible for prevention. of infections acquired in the hospital through the disinfection of reusable objects and equipment. Objective: Determine to what extent working conditions are related to occupational risks in the staff of the Sterilization Central of the Regional Hospital of Lambayeque, 2023. Method: Study with a quantitative approach, applied type, non-experimental – transversal design, where used the hypothetical-deductive method; the population will be made up of 50 health personnel (17 nurses and 33 technicians) from the area of the Sterilization Central of the Lambayeque Regional Hospital, who will be selected through various characteristics and specifications; Likewise, the census sample will have the participation of 50 professionals to obtain a representative set of subjects to be analyzed. The NTP 182 self-assessment scale of adapted working conditions and the questionnaire on occupational risks by Jurado (2021) will be used as instruments, both validated by expert judgment and the statistical reliability test of Cronbrach's alpha. The data will be processed using the SPSS v.26 statistical program and the hypotheses will be tested through correlation analysis according to the normality analysis for parametric or non-parametric tests.