Evidence map›Paper›PMID 37367092›Full record

ArticleGeriatrics (Basel, Switzerland)2023

Prediction of In-Hospital Falls Using NRS, PACD Score and FallRS: A Retrospective Cohort Study.

Jennifer Siegwart, Umberto Spennato, Nathalie Lerjen, Beat Mueller, Philipp Schuetz, Daniel Koch, Tristan Struja

Open access · goldAbstract read
In one paragraph

Article in Geriatrics (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.5field-weighted citation impact, top 36% 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

3 citing papers in PubMed, 3 citations in OpenAlex.

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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

7 authors at 2 institutions in 1 country.

Jennifer SiegwartMedical University Clinic, Kantonsspital Aarau, 5001 Aarau, Switzerland.
Umberto SpennatoMedical University Clinic, Kantonsspital Aarau, 5001 Aarau, Switzerland.
Nathalie LerjenMedical University Clinic, Kantonsspital Aarau, 5001 Aarau, Switzerland.
Beat MuellerMedical University Clinic, Kantonsspital Aarau, 5001 Aarau, Switzerland.ORCID 0000-0002-1986-2511
Philipp SchuetzMedical University Clinic, Kantonsspital Aarau, 5001 Aarau, Switzerland.ORCID 0000-0001-6400-4949
Daniel KochMedical University Clinic, Kantonsspital Aarau, 5001 Aarau, Switzerland.ORCID 0000-0002-4660-5924
Tristan StrujaMedical University Clinic, Kantonsspital Aarau, 5001 Aarau, Switzerland.ORCID 0000-0003-0199-0184
Kantonsspital Aarau · CHUniversity of Basel · CH

Funding

Swiss National Science Foundation P400PM_194497/1
6 · The paper itself

Abstract

backgroundHarmful in-hospital falls with subsequent injuries often cause longer stays and subsequently higher costs. Early identification of fall risk may help in establishing preventive strategies.

objectiveTo assess the predictive ability of different clinical scores including the Post-acute care discharge (PACD) score and nutritional risk screening score (NRS), and to develop a new fall risk score (FallRS).

methodsA retrospective cohort study of medical in-patients of a Swiss tertiary care hospital from January 2016 to March 2022. We tested the ability of the PACD score, NRS and FallRS to predict a fall by using the area under curve (AUC). Adult patients with a length of stay of ≥ 2 days were eligible.

resultsWe included 19,270 admissions (43% females; median age, 71) of which 528 admissions (2.74%) had at least one fall during the hospital stay. The AUC varied between 0.61 (95% confidence interval (CI), 0.55-0.66) for the NRS and 0.69 (95% CI, 0.64-0.75) for the PACD score. The combined FallRS score had a slightly better AUC of 0.70 (95% CI, 0.65-0.75) but was more laborious to compute than the two other scores. At a cutoff of 13 points, the FallRS had a specificity of 77% and a sensitivity of 49% in predicting falls.

conclusionsWe found that the scores focusing on different aspects of clinical care predicted the risk of falls with fair accuracy. A reliable score with which to predict falls could help in establishing preventive strategies for reducing in-hospital falls. Whether or not the scores presented have better predictive ability than more specific fall scores do will need to be validated in a prospective study.

Indexed as

fall risk scorefallsin-hospitalnutritional risk scorepost-acute care discharge scoreprediction

Identifiers

PMID37367092
PMCPMC10298410
OpenAlexW4379056801

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LicenceCC BY
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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.