Evidence map›Paper›PMID 35476158›Full record

ArticleArchives of osteoporosis2022

Development of a data-driven case-mix adjustment model for comparison of hospital performance in hip fracture care.

Franka S Würdemann, Arthur K E Elfrink, Janneke A Wilschut, Crispijn L van den Brand, Inger B Schipper, Johannes H Hegeman

Erratum issuedOpen access · hybridAbstract read
In one paragraph

Article in Archives of osteoporosis, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.4field-weighted citation impact, top 39% 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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors at 3 institutions in 1 country.

Franka S WürdemannDutch Institute for Clinical Auditing, Scientific Bureau, Rijnsburgerweg 10, AA, 2333, Leiden, The Netherlands. f.s.wuerdemann@lumc.nl.
Arthur K E ElfrinkDutch Institute for Clinical Auditing, Scientific Bureau, Rijnsburgerweg 10, AA, 2333, Leiden, The Netherlands.
Janneke A WilschutDutch Institute for Clinical Auditing, Scientific Bureau, Rijnsburgerweg 10, AA, 2333, Leiden, The Netherlands.
Crispijn L van den BrandDutch Institute for Clinical Auditing, Scientific Bureau, Rijnsburgerweg 10, AA, 2333, Leiden, The Netherlands.
Inger B SchipperDepartment of Traumasurgery, Leiden University Medical Center, Leiden Albinusdreef 2, Leiden, 2333, ZA, The Netherlands.
Johannes H HegemanDepartment of Traumasurgery, Ziekenhuisgroep Twente, Zilvermeeuw 1, Almelo, 7609, PP, The Netherlands.
Dutch Institute for Clinical Auditing · NLLeiden University Medical Center · NLZiekenhuis Groep Twente · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To compare hospitals' hip fracture patient mortality in a quality of care registry, correction for patient characteristics is needed. This study evaluates in 39,374 patients which characteristics are associated with 30 and 90-day mortality, and showed how using these characteristics in a case mix-model changes hospital comparisons within the Netherlands. PURPOSE: Mortality rates after hip fracture surgery are considerable and may be influenced by patient characteristics. This study aims to evaluate hospital variation regarding patient demographics and disease burden, to develop a case-mix adjustment model to analyse differences in hip fracture patients' mortality to calculate case-mix adjusted hospital-specific mortality rates.

methodsData were derived from 64 hospitals participating in the Dutch Hip Fracture Audit (DHFA). Adult hip fracture patients registered in 2017-2019 were included. Variation of case-mix factors between hospitals was analysed, and the association between case-mix factors and mortality at 30 and 90 days was determined through regression models.

resultsThere were 39,374 patients included. Significant variation in case-mix factors amongst hospitals was found for age ≥ 80 (range 25.8-72.1% p < 0.001), male gender (12.0-52.9% p < 0.001), nursing home residents (42.0-57.9% p < 0.001), pre-fracture mobility aid use (9.9-86.7% p < 0,001), daily living dependency (27.5-96.5% p < 0,001), ASA-class ≥ 3 (25.8-83.3% p < 0.001), dementia (3.6-28.6% p < 0.001), osteoporosis (0.0-57.1% p < 0.001), risk of malnutrition (0.0-29.2% p < 0.001) and fracture types (all p < 0.001). All factors were associated with 30- and 90-day mortality. Eight hospitals showed higher and six showed lower 30-day mortality than expected based on their case-mix. Six hospitals showed higher and seven lower 90-day mortality than expected. The specific outlier hospitals changed when correcting for case-mix factors.

conclusionsDutch hospitals show significant case-mix variation regarding hip fracture patients. Case-mix adjustment is a prerequisite when comparing hospitals' 30-day and 90-day hip fracture patients' mortality. Adjusted mortality may serve as a starting point for improving hip fracture care.

Indexed as

Hip FracturesRisk AdjustmentDiagnosis-Related GroupsHospital MortalityHospitalsHumansMaleCase-mix correctionCase-mix factorsConfoundersDatabaseHip fracturesHospital comparisonMortalityOutcomesQuality of careRegistry

Identifiers

PMID35476158
PMCPMC9046354
OpenAlexW4225008536

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.