Factors influencing the patient safety climate in intensive care units: cross-sectional study.

Autor: de Lima Silva Nunes R; Faculty of Nursing, Postgraduate Program in Nursing, Federal University of Goiás, Goiânia, GO, Brazil., de Camargo Silva AEB; Faculty of Nursing, Federal University of Goiás, Rua 227, s/n, Qd. 68, Setor Leste Universitário, CEP, Goiânia, GO, 74605-080, Brazil. anaelisa@terra.com.br., de Lima JC; Faculty of Nursing, Postgraduate Program in Nursing, Federal University of Goiás, Goiânia, GO, Brazil., Carvalho DE; Faculty of Nursing, Postgraduate Program in Nursing, Federal University of Goiás, Goiânia, GO, Brazil., Bernardes CA; Faculty of Nursing, Postgraduate Program in Nursing, Federal University of Goiás, Goiânia, GO, Brazil., Sousa TP; Faculty of Nursing, Postgraduate Program in Nursing, Federal University of Goiás, Goiânia, GO, Brazil., Gimenes FRE; Ribeirão Preto College of Nursing, WHO Collaborating Centre for Nursing Research Development, University of São Paulo, Ribeirão Preto, SP, Brazil., Pires ACAC; Institute of Tropical Pathology and Public Health, Postgraduate Program in Collective Health, Federal University of Goiás, Goiânia, GO, Brazil.
Jazyk: angličtina
Zdroj: BMC nursing [BMC Nurs] 2021 Jul 08; Vol. 20 (1), pp. 125. Date of Electronic Publication: 2021 Jul 08.
DOI: 10.1186/s12912-021-00643-x
Abstrakt: Background: Measuring the patient safety climate of a health service provides important information about the safety status at a given time. This study aimed to determine the factors influencing the patient safety climate in Intensive Care Units.
Methods: An analytical and cross-sectional study conducted in 2017 and 2018 in two adult Intensive Care Units of a Brazilian Teaching Hospital. The Safety Attitudes Questionnaire instrument was applied with the multidisciplinary teams to determine the factors influencing the patient safety climate. Data were double entered into a database and processed using the R (version 3.5.0) statistical software. Position, central tendency and dispersion measures were taken and absolute and relative frequencies, mean and confidence intervals were calculated for the quantitative variables. Linear regression was performed to verify the effect of variables on the SAQ domains. Variables with a p-value of less than 0.25 were selected for multivariate analysis.
Results: A total of 84 healthcare providers participated in the study. The mean Safety Attitudes Questionnaire score was 59.5, evidencing a negative climate. The following factors influenced the safety climate: time since course completion, professional category, type of employment contract, complementary professional training, and weekly workload.
Conclusions: The factors identified indicate items for planning improvements in communication, teamwork, work processes, and management involvement, aiming to ensure care safety and construct a supportive safety climate.
Databáze: MEDLINE