Evidence map›Paper›PMID 37666551›Full record

ArticleBMJ open2023

Clinical outcomes of non-COVID-19 orthopaedic patients admitted during the COVID-19 pandemic: a multi-centre interrupted time series analysis across hospitals in six different countries.

Lotje Anna Hoogervorst, Pieter Stijnen, Marco Albini, Nina Janda, Andrew J Stewardson, Kiran Patel, Rob G H H Nelissen, Perla Marang-van de Mheen

Open access · goldAbstract readMulticenter Study
In one paragraph

Article in BMJ open, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.2field-weighted citation impact, top 32% 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, 1 citations in OpenAlex.

  1. 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

8 authors at 5 institutions in 4 countries.

Lotje Anna HoogervorstDepartment of Orthopaedics, Leiden University Medical Center, Leiden, The Netherlands.ORCID 0000-0001-5343-6965
Pieter StijnenDepartment of Management Information and Reporting, Universitaire Ziekenhuizen Leuven, Leuven, Belgium.
Marco AlbiniDepartment of Quality Monitoring, Humanitas Group, Rozzano, Italy.
Nina JandaGlobal Health Data@Work, London, UK.
Andrew J StewardsonDepartment of Infectious Diseases, Alfred Hospital, Melbourne, Victoria, Australia.
Kiran PatelDepartment of Cardiology, University Hospitals Coventry and Warwickshire NHS Trust, Coventry, UK.
Rob G H H NelissenDepartment of Orthopaedics, Leiden University Medical Center, Leiden, The Netherlands.
Perla Marang-van de MheenDepartment of Biomedical Data Sciences & Medical Decision Making, Leiden University Medical Centre, Leiden, Netherlands p.j.marang-van_de_mheen@lumc.nl.ORCID 0000-0003-1439-0989
Leiden University Medical Center · NLHealth Data Research UK · GBThe Alfred Hospital · AUUniversitair Ziekenhuis Leuven · BEUniversity Hospitals Coventry and Warwickshire NHS Trust · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo assess across seven hospitals from six different countries the extent to which the COVID-19 pandemic affected the volumes of orthopaedic hospital admissions and patient outcomes for non-COVID-19 patients admitted for orthopaedic care.

designA multi-centre interrupted time series (ITS) analysis.

settingSeven hospitals from six countries who collaborated within the Global Health Data@Work collaborative.

participantsNon-COVID-19 patients admitted for orthopaedic care during the pre-pandemic (January/2018-February/2020) and COVID-19 pandemic (March/2020-June/2021) period. Admissions were categorised as: (1) acute admissions (lower limb fractures/neck of femur fractures/pathological fractures/joint dislocations/upper limb fractures); (2) subacute admissions (bone cancer); (3) elective admissions (osteoarthritis). OUTCOME MEASURES: Monthly observed versus expected ratios (O/E) were calculated for in-hospital mortality, long (upper-decile) length-of-stay and hospital readmissions, with expected rates calculated based on case-mix. An ITS design was used to estimate the change in level and/or trend of the monthly O/E ratio by comparing the COVID-19 pandemic with the pre-pandemic period.

results69 221 (pre-pandemic) and 22 940 (COVID-19 pandemic) non-COVID-19 orthopaedic patient admissions were included. Admission volumes were reduced during the COVID-19 pandemic for all admission categories (range: 33%-45%), with more complex patients treated as shown by higher percentages of patients admitted with ≥1 comorbidity (53.8% versus 49.8%, p<0.001). The COVID-19 pandemic was not associated with significant changes in patient outcomes for most diagnostic groups. Only for patients diagnosed with pathological fractures (pre-pandemic n=1671 and pandemic n=749), the COVID-19 pandemic was significantly associated with an immediate mortality reduction (level change of -77.7%, 95% CI -127.9% to -25.7%) and for lower limb fracture patients (pre-pandemic n=9898 and pandemic n=3307) with a significantly reduced trend in readmissions (trend change of -6.3% per month, 95% CI -11.0% to -1.6%).

conclusionsAcute, subacute, as well as elective orthopaedic hospital admissions volumes were reduced in all global participating hospitals during the COVID-19 pandemic, while overall patient outcomes for most admitted non-COVID-19 patients remained the same despite the strain caused by the surge of COVID-19 patients.

Indexed as

Bone NeoplasmsCOVID-19Fractures, BoneFractures, SpontaneousOrthopedicsHospitalsHumansInterrupted Time Series AnalysisCOVID-19orthopaedic & trauma surgeryquality in health care

Identifiers

PMID37666551
PMCPMC10481718
OpenAlexW4386415755

What OpenQuestion holds

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LicenceCC BY-NC
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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.