Evidence map›Paper›PMID 35396284›Full record

ArticleBMJ open2022

Development of a decision analytical framework to prioritise operating room capacity: lessons learnt from an empirical example on delayed elective surgeries during the COVID-19 pandemic in a hospital in the Netherlands.

Maroeska M Rovers, Stan RW Wijn, Janneke PC Grutters, Sanne JJPM Metsemakers, Robin J Vermeulen, Ron van der Pennen, Bart JJM Berden, Hein G Gooszen, Mirre Scholte, Tim M Govers and 1 more

Abstract read
In one paragraph

Article in BMJ open, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

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  3. Web-based models to inform health policy: A scoping review.Health research policy and systems · 2025
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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

11 authors.

Maroeska M RoversDepartment for Health Evidence, Radboud Institute for Health Sciences, Radboudumc, Nijmegen, The Netherlands Maroeska.Rovers@radboudumc.nl.ORCID 0000-0002-3095-170X
Stan RW WijnDepartment of Operating Rooms, Radboud Institute for Health Sciences, Radboudumc, Nijmegen, The Netherlands.ORCID 0000-0003-3782-6677
Janneke PC GruttersDepartment for Health Evidence, Radboud Institute for Health Sciences, Radboudumc, Nijmegen, The Netherlands.
Sanne JJPM MetsemakersDepartment of Operating Rooms, Radboud Institute for Health Sciences, Radboudumc, Nijmegen, The Netherlands.
Robin J VermeulenDepartment of Operating Rooms, Radboud Institute for Health Sciences, Radboudumc, Nijmegen, The Netherlands.
Ron van der PennenElisabeth-TweeSteden Ziekenhuis, Tilburg, Noord-Brabant, The Netherlands.
Bart JJM BerdenElisabeth-TweeSteden Ziekenhuis, Tilburg, Noord-Brabant, The Netherlands.
Hein G GooszenDepartment of Operating Rooms, Radboud Institute for Health Sciences, Radboudumc, Nijmegen, The Netherlands.
Mirre ScholteDepartment of Operating Rooms, Radboud Institute for Health Sciences, Radboudumc, Nijmegen, The Netherlands.
Tim M GoversDepartment of Operating Rooms, Radboud Institute for Health Sciences, Radboudumc, Nijmegen, The Netherlands.
EBS-group collaborators

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo develop a prioritisation framework to support priority setting for elective surgeries after COVID-19 based on the impact on patient well-being and cost.

designWe developed decision analytical models to estimate the consequences of delayed elective surgical procedures (eg, total hip replacement, bariatric surgery or septoplasty).

settingThe framework was applied to a large hospital in the Netherlands. OUTCOME MEASURES: Quality measures impacts on quality of life and costs were taken into account and combined to calculate net monetary losses per week delay, which quantifies the total loss for society expressed in monetary terms. Net monetary losses were weighted by operating times.

resultsWe studied 13 common elective procedures from four specialties. Highest loss in quality of life due to delayed surgery was found for total hip replacement (utility loss of 0.27, ie, 99 days lost in perfect health); the lowest for arthroscopic partial meniscectomy (utility loss of 0.05, ie, 18 days lost in perfect health). Costs of surgical delay per patient were highest for bariatric surgery (€31/pp per week) and lowest for arthroscopic partial meniscectomy (-€2/pp per week). Weighted by operating room (OR) time bariatric surgery provides most value (€1.19/pp per OR minute) and arthroscopic partial meniscectomy provides the least value (€0.34/pp per OR minute). In a large hospital the net monetary loss due to prolonged waiting times was €700 840 after the first COVID-19 wave, an increase of 506% compared with the year before.

conclusionsThis surgical prioritisation framework can be tailored to specific centres and countries to support priority setting for delayed elective operations during and after the COVID-19 pandemic, both in and between surgical disciplines. In the long-term, the framework can contribute to the efficient distribution of OR time and will therefore add to the discussion on appropriate use of healthcare budgets. The online framework can be accessed via: https://stanwijn.shinyapps.io/priORitize/.

Indexed as

COVID-19Elective Surgical ProceduresHospitalsHumansNetherlandsOperating RoomsPandemicsQuality of LifeCOVID-19health economicsorganisation of health servicessurgery

Identifiers

PMID35396284
PMCPMC8995574

What OpenQuestion holds

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LicenceCC BY-NC
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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.