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Prevalence, characteristics, and impact of adverse events in 34 Madrid hospitals. The ESHMAD study
European journal of clinical investigation, 2022-12, Vol.52 (12), p.e13851-n/a
2022
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Autor(en) / Beteiligte
Titel
Prevalence, characteristics, and impact of adverse events in 34 Madrid hospitals. The ESHMAD study
Ist Teil von
  • European journal of clinical investigation, 2022-12, Vol.52 (12), p.e13851-n/a
Ort / Verlag
England: Blackwell Publishing Ltd
Erscheinungsjahr
2022
Quelle
Wiley-Blackwell Journals
Beschreibungen/Notizen
  • Introduction Adverse Events (AE) are one of the main problems in healthcare. Therefore, many policies have been developed worldwide to mitigate their impact. The Patient Safety Incident Study in Hospitals in the Community of Madrid (ESHMAD) measures the results of them in the region. Methods Cross‐sectional study, conducted in May 2019, in hospitalised patients in 34 public hospitals using the Harvard Medical Practice Study methodology. A logistic regression model was carried out to study the association of the variables with the presence of AE, calibrated and adjusted by patient. Results A total of 9975 patients were included, estimating a prevalence of AE of 11.9%. A higher risk of AE was observed in patients with surgical procedures (OR[CI95%]: 2.15[1.79 to 2.57], vs. absence), in Intensive Care Units (OR[CI95%]: 1.60[1.17 to 2.17], vs. Medical) and in hospitals of medium complexity (OR[CI95%]: 1.45[1.12 to 1.87], vs. low complexity). A 62.6% of AE increased the length of the stay or it was the cause of admission, and 46.9% of AE were considered preventable. In 11.5% of patients with AE, they had contributed to their death. Conclusions The prevalence of AE remains similar to the previously estimated one in studies developed with the same methodology. AE keep leading to longer hospital stays, contributing to patient's death, showing that it is necessary to put focus on patient safety again. A detailed analysis of these events has enabled the detection of specific areas for improvement according to the type of care, centre and patient.
Sprache
Englisch
Identifikatoren
ISSN: 0014-2972
eISSN: 1365-2362
DOI: 10.1111/eci.13851
Titel-ID: cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_9787492
Format
–
Schlagworte
Adverse events, Complexity, Hospitals, Intensive care units, Original, Patient safety, Patients, Regression models, Safety

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