Evidence map›Paper›PMID 29240656›Full record

ArticleNursing research

Hospital-Acquired Pressure Injury: Risk-Adjusted Comparisons in an Integrated Healthcare Delivery System.

June Rondinelli, Stephen Zuniga, Patricia Kipnis, Lina Najib Kawar, Vincent Liu, Gabriel J Escobar

Open access · greenAbstract read
In one paragraph

Article in Nursing research. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed, 2 pooled it
16.9field-weighted citation impact, top 1% 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, 2 syntheses or guidelines pooled it, 86 citations in OpenAlex.

  1. Pooled it
  2. A systematic review of clinical practice guidelines and other best practice recommendations for pressure injury risk assessment in the United States.Wound repair and regeneration : official publication of the Wound Healing Society [and] the European Tissue Repair Society
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  11. Association of ICU Admission and Outcomes in Sepsis and Acute Respiratory Failure.American journal of respiratory and critical care medicine · 2022
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  12. Risk Factors for Pressure Injuries in Adult Patients: A Narrative Synthesis.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

6 authors at 1 institution in 2 countries.

June RondinelliJune Rondinelli, PhD, RN, CNS, is Nurse Scientist and Interim Director, Regional Nursing Research Program, Kaiser Permanente, Southern California, Pasadena. Stephen Zuniga, PhD, is Biostatistician II, Clinical Intelligence and Decision Support, Kaiser Foundation Hospitals, Pasadena, California. Patricia Kipnis, PhD, is Principal Statistician/Associate Director, Decision Support, Kaiser Foundation Hospitals, Oakland, California. Lina Najib Kawar, PhD, RN, CNS, is Nurse Scientist, Regional Nursing Research Program, Kaiser Permanente, Southern California, Pasadena. Vincent Liu, MD, MS, is Research Scientist, Division of Research, Kaiser Permanente, Oakland, California. Gabriel J. Escobar, MD, is Research Scientist III, Regional Director for Hospital Operations Research, Division of Research, Kaiser Permanente, Oakland, California.
Stephen Zuniga
Patricia Kipnis
Lina Najib Kawar
Vincent Liu
Gabriel J Escobar
Apple (Israel) · IL

Funding

Data-driven Precision medicine in sepsisK23GM112018 · NIGMS · KAISER FOUNDATION RESEARCH INSTITUTE · PI LIU, VINCENT · 2014 to 2017
$768k
NIGMS NIH HHS K23 GM112018
6 · The paper itself

Abstract

backgroundAlthough healthcare organizations have decreased hospital-acquired pressure injury (HAPI) rates, HAPIs are not eliminated, driving further examination in both nursing and health services research.

objectiveThe objective was to describe HAPI incidence, risk factors, and risk-adjusted hospital variation within a California integrated healthcare system.

methodsInpatient episodes were included in this retrospective cohort if patients were hospitalized between January 1, 2013, and June 30, 2015. The primary outcome was development of a HAPI over time. Predictors included cited HAPI risk factors in addition to incorporation of a longitudinal comorbidity burden (Comorbidity Point Score, Version 2 [COPS2]), a severity-of-illness score (Laboratory-Based Acute Physiology Score, Version 2 [LAPS2]), and the Braden Scale for Predicting Pressure Ulcer Risk.

resultsAnalyses included HAPI inpatient episodes (n = 1661) and non-HAPI episodes (n = 726,605). HAPI incidence was 0.57 per 1,000 patient days (95% CI [0.019, 3.805]) and 0.2% of episodes. A multivariate Cox proportional hazards model showed significant (p < .001) hazard ratios (HRs) for the change from the 25th to the 75th percentile for age (HR = 1.36, 95% CI [1.25, 1.45]), higher COPS2 scores (HR = 1.10, 95% CI [1.04, 1.16]), and higher LAPS2 scores (HR = 1.38, 95% CI [1.28, 1.50]). Female gender, an emergency room admission for a medical reason, and higher Braden scores showed significant protective HRs (HR < 1.00, p < .001). After risk adjustment, significant variation remained among the 35 hospitals. DISCUSSION: Results prompt the consideration of age, severity of illness (LAPS2), comorbidity indexes (COPS2), and the Braden score as important predictors for HAPI risk. HAPI rates may be low; however, because of significant individual site variation, HAPIs remain an area to explore through both research and quality improvement initiatives.

Indexed as

Severity of Illness IndexAdultAgedCohort StudiesFemaleHumansInpatientsMaleMiddle AgedPressure UlcerPrimary PreventionProportional Hazards ModelsQuality ImprovementRetrospective StudiesRisk AssessmentRisk Factors

Identifiers

PMID29240656
PMCPMC6013055
OpenAlexW2771243696

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.