Evidence map›Paper›PMID 34984484›Full record

ReviewActa orthopaedica2022

A more comprehensive evaluation of quality of care after total hip and knee arthroplasty: combining 4 indicators in an ordered composite outcome.

Peter Van Schie, Leti Van Bodegom-Vos, Liza N Van Steenbergen, Rob G H H Nelissen, Perla J Marang-van de Mheen, IQ JOINT STUDY GROUP

Abstract readReview
In one paragraph

Review in Acta orthopaedica, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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.

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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Observational
  4. Article
  5. Article
  6. 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

6 authors.

Peter Van SchieDepartment of Orthopedics, Leiden University Medical Centre, Leiden. p.van_schie@lumc.nl.
Leti Van Bodegom-VosDepartment of Biomedical Data Sciences, Medical Decision Making, Leiden University Medical Centre, Leiden. L.van_Bodegom-Vos@lumc.nl.
Liza N Van SteenbergenDutch Arthroplasty Register (LROI), 's-Hertogenbosch, The Netherlands. lvansteenbergen@orthopeden.org.
Rob G H H NelissenDepartment of Orthopedics, Leiden University Medical Centre, Leiden. r.g.h.h.nelissen@lumc.nl.
Perla J Marang-van de MheenDepartment of Biomedical Data Sciences, Medical Decision Making, Leiden University Medical Centre, Leiden; 3 Dutch Arthroplasty Register (LROI), 's-Hertogenbosch, The Netherlands. p.j.marang-van_de_mheen@lumc.nl.
IQ JOINT STUDY GROUP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and purpose - Most arthroplasty registers give hospital-specific feedback on revision rates after total hip and knee arthroplasties (THA/TKA). However, due to the low number of events per hospital, multiple years of data are required to reliably detect worsening performance, and any single indicator provides only part of the quality of care delivered. Therefore, we developed an ordered composite outcome including revision, readmission, complications, and long length-of-stay (LOS) for a more comprehensive view on quality of care and assessed the ability to reliably differentiate between hospitals in their performance (rankability) with fewer years of data. Methods - All THA and TKA performed between 2017 and 2019 in 20 Dutch hospitals were included. All combinations of the 4 indicators were ranked from best to worst to create the ordinal composite outcome for THA and TKA separately. Between-hospital variation for the composite outcome was compared with individual indicators standardized for case-mix differences, and we calculated the statistical rankability using fixed and random effects models. Results - 22,908 THA and 20,423 TKA were included. Between-hospital variation for the THA and TKA composite outcomes was larger when compared with revision, readmission, and complications, and similar to long LOS. Rankabilities for the composite outcomes were above 80% even with 1 year of data, meaning that largely true hospital differences were detected rather than random variation. Interpretation - The ordinal composite outcome gives a more comprehensive overview of quality of delivered care and can reliably differentiate between hospitals in their performance using 1 year of data, thereby allowing earlier introduction of quality improvement initiatives.

Indexed as

Arthroplasty, Replacement, HipArthroplasty, Replacement, KneeHospitalsHumansLength of StayPatient ReadmissionPostoperative ComplicationsQuality Improvement

Identifiers

PMID34984484
PMCPMC8815379

What OpenQuestion holds

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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.