Evidence map›Paper›PMID 29309608›Full record

ArticleInternational journal for quality in health care : journal of the International Society for Quality in Health Care2018

Patient and hospital characteristics that influence incidence of adverse events in acute public hospitals in Portugal: a retrospective cohort study.

Paulo Sousa, António Sousa Uva, Florentino Serranheira, Mafalda Sousa Uva, Carla Nunes

Open access · hybridAbstract read
In one paragraph

Article in International journal for quality in health care : journal of the International Society for Quality in Health Care, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
8.4field-weighted citation impact, top 2% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

22 citing papers in PubMed, 92 citations in OpenAlex.

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  15. Surgery Is in Itself a Risk Factor for the Patient.International journal of environmental research and public health · 2022
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors at 2 institutions in 1 country.

Paulo SousaNational School of Public Health, Universidade Nova de Lisboa, Avenida Padre Cruz, 1600-540 Lisboa, Portugal.
António Sousa UvaNational School of Public Health, Universidade Nova de Lisboa, Avenida Padre Cruz, 1600-540 Lisboa, Portugal.
Florentino SerranheiraNational School of Public Health, Universidade Nova de Lisboa, Avenida Padre Cruz, 1600-540 Lisboa, Portugal.
Mafalda Sousa UvaNational Institute of Health, Doutor Ricardo Jorge, Avenida Padre Cruz, 1600-540, Lisboa, Portugal.
Carla NunesNational School of Public Health, Universidade Nova de Lisboa, Avenida Padre Cruz, 1600-540 Lisboa, Portugal.
Universidade Nova de Lisboa · PTNational Institute of Health Dr. Ricardo Jorge · PT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo analyse the variation in the rate of adverse events (AEs) between acute hospitals and explore the extent to which some patients and hospital characteristics influence the differences in the rates of AEs.

designRetrospective cohort study. Chi-square test for independence and binary logistic regression models were used to identify the potential association of some patients and hospital characteristics with AEs.

settingNine acute Portuguese public hospital centres.

participantsA random sample of 4250 charts, representative of around 180 000 hospital admissions in 2013, was analysed.

interventionTo measure adverse events based on chart review.

main outcome measureRate of AEs.

resultsMain results: (i) AE incidence was 12.5%; (ii) 66.4% of all AEs were related to Hospital-Acquired Infection and surgical procedures; (iii) patient characteristics such as sex (female 11%; male 14.4%), age (≥65 y 16.4%; <65 y 8.5%), admission coded as elective vs. urgent (8.6% vs. 14.6%) and medical vs. surgical Diagnosis Related Group code (13.4% vs. 11.7%), all with p < 0.001, were associated with a greater occurrence of AEs. (iv) hospital characteristics such as use of reporting system (13.2% vs. 7.1%), being accredited (13.7% vs. non-accredited 11.2%), university status (15.9% vs. non-university 10.9%) and hospital size (small 12.9%; medium 9.3%; large 14.3%), all with p < 0.001, seem to be associated with a higher rate of AEs.

conclusionsWe identified some patient and hospital characteristics that might influence the rate of AEs. Based on these results, more adequate solutions to improve patient safety can be defined.

Indexed as

AccreditationCohort StudiesCross InfectionFemaleHospitals, PublicHospitals, UniversityHumansMaleMedical ErrorsPatient SafetyPortugalSurgical Procedures, Operative

Identifiers

PMID29309608
PMCPMC5890867
OpenAlexW2802770734

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.