Relationship between adverse events prevalence, patient safety culture and patient safety perception in a single sample of patients: a cross-sectional and correlational study
ObjectiveTo assess the relationship between adverse events prevalence (AEP), patient safety culture (PSC) and patient safety perception (PSP).DesignCross-sectional, ex post facto comparative study on a single sample of patients.SettingFour medium-high-level hospitals were included in the study—two p...
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| Veröffentlicht in: | BMJ open Jg. 13; H. 8; S. e060695 |
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| Sprache: | Englisch |
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British Medical Journal Publishing Group
24.08.2023
BMJ Publishing Group LTD BMJ Publishing Group |
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| Abstract | ObjectiveTo assess the relationship between adverse events prevalence (AEP), patient safety culture (PSC) and patient safety perception (PSP).DesignCross-sectional, ex post facto comparative study on a single sample of patients.SettingFour medium-high-level hospitals were included in the study—two public and two private from Zulia State in Venezuela.Participants556 medical records and patients were studied for the prevalence and PSP study, and 397 of the healthcare providers involved in the care of these patients were surveyed for the PSC study, at two public and two private hospitals.Outcome measurementThe primary outcome of this study was the association between AEP, PSC and PSP, and according to hospital funding type, private and public.ResultsAn inverse association was observed between AEP and its severity and Patient Safety Culture Index (rho=−0.8, p=0.5) (95% CI 0.26–0.10) and Patient Safety Perception Index (rho=−0.6, p=0.18) (95% CI 0.10–0.28), which were protective factors for patient safety. No association was identified between PSC and PSP (rho=0.0001). No statistical differences were identified by hospital type (p=0.93) (95% CI 0.70–1.2).ConclusionsThe analysis of the variable correlations studied (AEP, PSC and PSP) within the same sample offers an interesting and useful perspective. In this sample, although no correlation was observed between the three variables as an interacting set, some correlation patterns were observed between pairs of variables that could guide further studies. |
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| AbstractList | ObjectiveTo assess the relationship between adverse events prevalence (AEP), patient safety culture (PSC) and patient safety perception (PSP).DesignCross-sectional, ex post facto comparative study on a single sample of patients.SettingFour medium-high-level hospitals were included in the study—two public and two private from Zulia State in Venezuela.Participants556 medical records and patients were studied for the prevalence and PSP study, and 397 of the healthcare providers involved in the care of these patients were surveyed for the PSC study, at two public and two private hospitals.Outcome measurementThe primary outcome of this study was the association between AEP, PSC and PSP, and according to hospital funding type, private and public.ResultsAn inverse association was observed between AEP and its severity and Patient Safety Culture Index (rho=−0.8, p=0.5) (95% CI 0.26–0.10) and Patient Safety Perception Index (rho=−0.6, p=0.18) (95% CI 0.10–0.28), which were protective factors for patient safety. No association was identified between PSC and PSP (rho=0.0001). No statistical differences were identified by hospital type (p=0.93) (95% CI 0.70–1.2).ConclusionsThe analysis of the variable correlations studied (AEP, PSC and PSP) within the same sample offers an interesting and useful perspective. In this sample, although no correlation was observed between the three variables as an interacting set, some correlation patterns were observed between pairs of variables that could guide further studies. Objective To assess the relationship between adverse events prevalence (AEP), patient safety culture (PSC) and patient safety perception (PSP).Design Cross-sectional, ex post facto comparative study on a single sample of patients.Setting Four medium-high-level hospitals were included in the study—two public and two private from Zulia State in Venezuela.Participants 556 medical records and patients were studied for the prevalence and PSP study, and 397 of the healthcare providers involved in the care of these patients were surveyed for the PSC study, at two public and two private hospitals.Outcome measurement The primary outcome of this study was the association between AEP, PSC and PSP, and according to hospital funding type, private and public.Results An inverse association was observed between AEP and its severity and Patient Safety Culture Index (rho=−0.8, p=0.5) (95% CI 0.26–0.10) and Patient Safety Perception Index (rho=−0.6, p=0.18) (95% CI 0.10–0.28), which were protective factors for patient safety. No association was identified between PSC and PSP (rho=0.0001). No statistical differences were identified by hospital type (p=0.93) (95% CI 0.70–1.2).Conclusions The analysis of the variable correlations studied (AEP, PSC and PSP) within the same sample offers an interesting and useful perspective. In this sample, although no correlation was observed between the three variables as an interacting set, some correlation patterns were observed between pairs of variables that could guide further studies. To assess the relationship between adverse events prevalence (AEP), patient safety culture (PSC) and patient safety perception (PSP).OBJECTIVETo assess the relationship between adverse events prevalence (AEP), patient safety culture (PSC) and patient safety perception (PSP).Cross-sectional, ex post facto comparative study on a single sample of patients.DESIGNCross-sectional, ex post facto comparative study on a single sample of patients.Four medium-high-level hospitals were included in the study-two public and two private from Zulia State in Venezuela.SETTINGFour medium-high-level hospitals were included in the study-two public and two private from Zulia State in Venezuela.556 medical records and patients were studied for the prevalence and PSP study, and 397 of the healthcare providers involved in the care of these patients were surveyed for the PSC study, at two public and two private hospitals.PARTICIPANTS556 medical records and patients were studied for the prevalence and PSP study, and 397 of the healthcare providers involved in the care of these patients were surveyed for the PSC study, at two public and two private hospitals.The primary outcome of this study was the association between AEP, PSC and PSP, and according to hospital funding type, private and public.OUTCOME MEASUREMENTThe primary outcome of this study was the association between AEP, PSC and PSP, and according to hospital funding type, private and public.An inverse association was observed between AEP and its severity and Patient Safety Culture Index (rho=-0.8, p=0.5) (95% CI 0.26-0.10) and Patient Safety Perception Index (rho=-0.6, p=0.18) (95% CI 0.10-0.28), which were protective factors for patient safety. No association was identified between PSC and PSP (rho=0.0001). No statistical differences were identified by hospital type (p=0.93) (95% CI 0.70-1.2).RESULTSAn inverse association was observed between AEP and its severity and Patient Safety Culture Index (rho=-0.8, p=0.5) (95% CI 0.26-0.10) and Patient Safety Perception Index (rho=-0.6, p=0.18) (95% CI 0.10-0.28), which were protective factors for patient safety. No association was identified between PSC and PSP (rho=0.0001). No statistical differences were identified by hospital type (p=0.93) (95% CI 0.70-1.2).The analysis of the variable correlations studied (AEP, PSC and PSP) within the same sample offers an interesting and useful perspective. In this sample, although no correlation was observed between the three variables as an interacting set, some correlation patterns were observed between pairs of variables that could guide further studies.CONCLUSIONSThe analysis of the variable correlations studied (AEP, PSC and PSP) within the same sample offers an interesting and useful perspective. In this sample, although no correlation was observed between the three variables as an interacting set, some correlation patterns were observed between pairs of variables that could guide further studies. |
| Author | Sunol, Rosa Montoya, Cesar Chirinos Muñoz, Mónica Susana Orrego, Carola |
| AuthorAffiliation | 2 Doctorate , Autonomous University of Barcelona , Barcelona , Spain 6 Data Analysis Center , Rafael Belloso Chacin University , Maracaibo , Zulia , Bolivarian Republic of Venezuela 5 RICAPPS , Network for Research on Chronicity, Primary Care, and Health Promotion , Barcelona , Spain 4 Avedis Donabedian Research Institute (FAD) - Universitat Autonoma de Barcelona , Barcelona , Spain 1 Health Sector Administration Program , University of Zulia , Maracaibo , Zulia , Bolivarian Republic of Venezuela 3 Scientific and Humanistic Development Council of the University of Zulia , University of Zulia , Maracaibo , Zulia , Bolivarian Republic of Venezuela |
| AuthorAffiliation_xml | – name: 6 Data Analysis Center , Rafael Belloso Chacin University , Maracaibo , Zulia , Bolivarian Republic of Venezuela – name: 1 Health Sector Administration Program , University of Zulia , Maracaibo , Zulia , Bolivarian Republic of Venezuela – name: 4 Avedis Donabedian Research Institute (FAD) - Universitat Autonoma de Barcelona , Barcelona , Spain – name: 3 Scientific and Humanistic Development Council of the University of Zulia , University of Zulia , Maracaibo , Zulia , Bolivarian Republic of Venezuela – name: 2 Doctorate , Autonomous University of Barcelona , Barcelona , Spain – name: 5 RICAPPS , Network for Research on Chronicity, Primary Care, and Health Promotion , Barcelona , Spain |
| Author_xml | – sequence: 1 givenname: Mónica Susana orcidid: 0000-0001-5673-4466 surname: Chirinos Muñoz fullname: Chirinos Muñoz, Mónica Susana email: monicasuchm@yahoo.com organization: Scientific and Humanistic Development Council of the University of Zulia, University of Zulia, Maracaibo, Zulia, Bolivarian Republic of Venezuela – sequence: 2 givenname: Carola orcidid: 0000-0002-2978-6268 surname: Orrego fullname: Orrego, Carola organization: RICAPPS, Network for Research on Chronicity, Primary Care, and Health Promotion, Barcelona, Spain – sequence: 3 givenname: Cesar surname: Montoya fullname: Montoya, Cesar organization: Data Analysis Center, Rafael Belloso Chacin University, Maracaibo, Zulia, Bolivarian Republic of Venezuela – sequence: 4 givenname: Rosa surname: Sunol fullname: Sunol, Rosa organization: RICAPPS, Network for Research on Chronicity, Primary Care, and Health Promotion, Barcelona, Spain |
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| Snippet | ObjectiveTo assess the relationship between adverse events prevalence (AEP), patient safety culture (PSC) and patient safety perception... To assess the relationship between adverse events prevalence (AEP), patient safety culture (PSC) and patient safety perception (PSP).OBJECTIVETo assess the... Objective To assess the relationship between adverse events prevalence (AEP), patient safety culture (PSC) and patient safety perception (PSP).Design... |
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| SubjectTerms | Correlational studies EPIDEMIOLOGY Health & safety Hospitals Medical personnel Medical records Patient safety Public Health Public sector Questionnaires |
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| Title | Relationship between adverse events prevalence, patient safety culture and patient safety perception in a single sample of patients: a cross-sectional and correlational study |
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| Volume | 13 |
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