Evidence map›Paper›PMID 38938768›Full record

ArticleHealth care science2023

Retrospective matched cohort study of incidence rates and excess length of hospital stay owing to pressure injuries in an Asian setting.

Nicholas Graves, Raju Maiti, Fazila Abu Bakar Aloweni, Ng Yi Zhen, Ang Shin Yuh, Priya Bishnoi, Tze Tec Chong, David Carmody, Keith Harding

Abstract read
In one paragraph

Article in Health care science, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

4 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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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

9 authors.

Nicholas GravesHealth Services and Systems Research Duke-NUS Medical School Singapore Singapore.ORCID 0000-0002-5559-3267
Raju MaitiCentre for Quantitative Medicine Duke-NUS Medical School Singapore Singapore.
Fazila Abu Bakar AloweniSingapore General Hospital Singapore Singapore.
Ng Yi ZhenSkin Research Institute of Singapore, Agency for Science, Technology and Research (A*STAR) Singapore Singapore.
Ang Shin YuhSingapore General Hospital Singapore Singapore.
Priya BishnoiSkin Research Institute of Singapore, Agency for Science, Technology and Research (A*STAR) Singapore Singapore.
Tze Tec ChongSingapore General Hospital Singapore Singapore.
David CarmodySingapore General Hospital Singapore Singapore.
Keith HardingSkin Research Institute of Singapore, Agency for Science, Technology and Research (A*STAR) Singapore Singapore.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Little is known about stage 1 and 2 pressure injuries that are health care-acquired. We report incidence rates of health care-acquired stage 1 and stage 2 pressure injuries, and, estimate the excess length of stay using four competing analytic methods. We discuss the merits of the different approaches. Methods: We calculated monthly incidence rates for stage 1 and 2 health care-acquired pressure injuries occurring in a large Singapore acute care hospital. To estimate excess stay, we conducted unadjusted comparisons with a control cohort, performed linear regression and then generalized linear regression with a gamma distribution. Finally, we fitted a simple state-based model. The design for the cost attribution work was a retrospective matched cohort study. Results: Incidence rates in 2016 were 0.553% (95% confidence interval [CI] 0.55, 0.557) and 0.469% (95% CI 0.466, 0.472) in 2017. For data censored at 60 days' maximum stay, the unadjusted comparisons showed the highest excess stay at 17.68 (16.43-18.93) days and multi-state models showed the lowest at 1.22 (0.19, 2.23) days. Conclusions: Poor-quality methods for attribution of excess length of stay to pressure injury generate inflated estimates that could mislead decision makers. The findings from the multi-state model, which is an appropriate method, are plausible and illustrate the likely bed-days saved from lowering the risk of these events. Stage 1 and 2 pressure injuries are common and increase costs by prolonging the length of stay. There will be economic value investing in prevention. Using biased estimates of excess length of stay will overstate the potential value of prevention.

Indexed as

attribution methodscostshealth care‐acquired pressure injuryincidence rates

Identifiers

PMID38938768
PMCPMC11080845

What OpenQuestion holds

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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.