Evidence map›Paper›PMID 36757779›Full record

ArticleJMIR aging2023

The Nursing Home Severity Index and Application to Pressure Injury Risk: Measure Development and Validation Study.

Tracey L Yap, Susan D Horn, Phoebe D Sharkey, Katie R Brooks, Susan Kennerly

Registry-linked trialAbstract read
In one paragraph

Article in JMIR aging, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02996331 (Preventing Pressure Ulcers With Repositioning Frequency and Precipitating Factors), which is not on this map. Cited by 2 papers.

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

NCT02996331 nacompletednot on this map

Preventing Pressure Ulcers With Repositioning Frequency and Precipitating Factors

TypeinterventionalSponsorDuke UniversityRan2017 to 2019Enrolled2,113ConditionsPressure UlcerArms2 hour repositioning, 3 hour repositioning, 4 hour repositioning
3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Article
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.

Tracey L Yap *School of Nursing, Duke University, Durham, NC, United States.ORCID https://orcid.org/0000-0002-3625-5086
Susan D HornSchool of Medicine, University of Utah, Salt Lake City, UT, United States.ORCID https://orcid.org/0000-0003-0199-4513
Phoebe D SharkeySellinger School of Business, Loyola University Maryland, Baltimore, MD, United States.ORCID https://orcid.org/0000-0001-9259-7286
Katie R BrooksSchool of Nursing, Duke University, Durham, NC, United States.ORCID https://orcid.org/0000-0002-0018-1337
Susan KennerlyCollege of Nursing, East Carolina University, Greenville, NC, United States.ORCID https://orcid.org/0000-0003-3379-8672

Funding

Preventing Pressure Ulcers with Repositioning Frequency and Precipitating FactorsR01NR016001 · NINR · DUKE UNIVERSITY · PI YAP, TRACEY · 2016 to 2021
$3.5M
NINR NIH HHS R01 NR016001
6 · The paper itself

Abstract

backgroundAn assessment tool is needed to measure the clinical severity of nursing home residents to improve the prediction of outcomes and provide guidance in treatment planning.

objectiveThis study aims to describe the development of the Nursing Home Severity Index, a clinical severity measure targeted for nursing home residents with the potential to be individually tailored to different outcomes, such as pressure injury.

methodsA retrospective nonexperimental design was used to develop and validate the Nursing Home Severity Index using secondary data from 9 nursing homes participating in the 12-month preintervention period of the Turn Everyone and Move for Ulcer Prevention (TEAM-UP) pragmatic clinical trial. Expert opinion and clinical literature were used to identify indicators, which were grouped into severity dimensions. Index performance and validation to predict risk of pressure injury were accomplished using secondary data from nursing home electronic health records, Minimum Data Sets, and Risk Management Systems. Logistic regression models including a resident's Worst-Braden score with/without severity dimensions generated propensity scores. Goodness of fit for overall models was assessed using C statistic; the significance of improvement of fit after adding severity components to the model was determined using the likelihood ratio chi-square test. The significance of each component was assessed with odds ratios. Validation based on randomly selected 65% training and 35% validation data sets was used to confirm the reliability of the severity measure. Finally, the discriminating ability of models was evaluated using propensity stratification to evaluate which model best discriminated between residents with/without pressure injury.

resultsData from 1015 residents without pressure injuries on admission were used for the Nursing Home Severity Index-Pressure Injury and included laboratory, weights/vitals/pain, underweight, and locomotion severity dimensions. Logistic regression C statistic measuring predictive accuracy increased by 19.3% (from 0.627 to 0.748; P<.001) when adding four severity dimensions to Worst-Braden scores. Significantly higher odds of developing pressure injuries were associated with increasing dimension scores. The use of the three highest propensity deciles predicting the greatest risk of pressure injury improved predictive accuracy by detecting 21 more residents who developed pressure injury (n=58, 65.2% vs n=37, 42.0%) when both severity dimensions and Worst-Braden score were included in prediction modeling.

conclusionsThe clinical Nursing Home Severity Index-Pressure Injury was successfully developed and tested using the outcome of pressure injury. Overall predictive capacity was enhanced when using severity dimensions in combination with Worst-Braden scores. This index has the potential to significantly impact the quality of care decisions aimed at improving individual pressure injury prevention plans.

trial registrationClinicalTrials.gov NCT02996331; http://clinicaltrials.gov/ct2/show/NCT02996331.

Indexed as

clinicaldevelopmentgeriatricsinjurynursing homespressure injurypressure ulcerpreventionpropensity scoresriskseverity of illness indextreatmentvalidation

Identifiers

PMID36757779
PMCPMC9951072

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Registered trials

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.