Evidence map›Paper›PMID 35005603›Full record

ArticleInfection prevention in practice2022

Benchmarking hospital safety and identifying determinants of hospital-acquired complication: the case of Queensland cardiac linkage longitudinal cohort.

Son Nghiem, Clifford Afoakwah, Paul Scuffham, Joshua Byrnes

Abstract read
In one paragraph

Article in Infection prevention in practice, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
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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

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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

2 citing papers in PubMed.

  1. Article
  2. Effect of hospital-acquired complications on hospital length of stay and cost for older adults after a hip fracture in New South Wales, Australia.Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA · 2025
    Article
4 · The record

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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

4 authors.

Son NghiemCentre for Applied Health Economics, School of Medicine and Dentistry, Griffith University, 170 Kessels Rd, Nathan, QLD 4111, Australia.
Clifford AfoakwahCentre for Applied Health Economics, School of Medicine and Dentistry, Griffith University, 170 Kessels Rd, Nathan, QLD 4111, Australia.
Paul ScuffhamMenzies Health Institute Queensland, G40, Gold Coast Campus, Griffith University QLD 4222, Australia.
Joshua ByrnesCentre for Applied Health Economics, School of Medicine and Dentistry, Griffith University, 170 Kessels Rd, Nathan, QLD 4111, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHospital-acquired complications (HACs) are costly and associated with adverse health outcomes, although they can be avoided. Administrative linkage health data have become more accessible and can be used to monitor and reduce HAC.

aimsThis study aims to use linkage administrative data to benchmark the safety performance of hospitals and estimate the feasible magnitude that HAC can be reduced. We also identify risk factors associated with HACs, and estimate the effects of HACs on adverse health outcomes and hospital costs.

methodsThis is a retrospective linkage cohort study. The cohort includes 371,040 inpatient multiple-day admissions of 83,025 cardiovascular disease patients admitted to public hospitals in 2010 with follow-ups until 2015.Data envelopment analysis was applied to benchmark the patient safety performance of hospitals. Logistic regression was used to examine the odds of HAC and its effects on in-hospital mortality and 30-day readmission. Generalised linear models were used to identify the impacts of HACs on hospital costs and the length of hospital stay.

findingsOn average, 9.3% of multiple-day hospital admissions were associated with HACs. The average HAC rate can be reduced by two percentage points if all hospitals achieve the safety record of best-practice hospitals. Old age and multiple comorbidities were major driving factors of HACs.

conclusionsCardiovascular disease patients with HAC have a higher risk of death, stay longer in hospitals and incur higher health care costs. The average HAC rates can be reduced by two percentage points by learning from best-practice hospitals operating in the same region.

Indexed as

AustraliaBenchmarkingCardiovascular diseaseData envelopment analysisHospital-acquired complicationsLinked administrative health data

Identifiers

PMID35005603
PMCPMC8717596

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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.