Evidence map›Paper›PMID 42805654›Full record

ArticleBMJ open2026

Performance indicators for evaluating and optimising hospital services during COVID-19: a scoping review.

Anna Dankers, Dilek Yildirim, Sander Dijkstra, Lem Ngongalah, Máire A Connolly, Jim Duggan, Anne Zander, Tessa van Loenen, Richard J Boucherie, Aura Timen

Abstract readScoping Review
In one paragraph

Article in BMJ open, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

10 authors.

Anna DankersCenter for Healthcare Operations Improvement and Research, University of Twente, Enschede, The Netherlands a.w.dankers@utwente.nl.ORCID http://orcid.org/0009-0006-6341-5141
Dilek YildirimPrimary and Community Care, Radboud University Medical Centre, Nijmegen, The Netherlands.ORCID http://orcid.org/0000-0001-8697-4372
Sander DijkstraCenter for Healthcare Operations Improvement and Research, University of Twente, Enschede, The Netherlands.
Lem NgongalahSchool of Health Sciences, University of Galway, Galway, Ireland.ORCID http://orcid.org/0009-0008-6347-6934
Máire A ConnollySchool of Medicine, College of Medicine, Nursing and Health Sciences, University of Galway, Galway, Ireland.ORCID http://orcid.org/0009-0004-9561-4458
Jim DugganComputer Science, University of Galway, Galway, Ireland.ORCID http://orcid.org/0000-0002-7507-8617
Anne ZanderCenter for Healthcare Operations Improvement and Research, University of Twente, Enschede, The Netherlands.ORCID http://orcid.org/0000-0001-7495-5342
Tessa van LoenenPrimary and Community Care, Radboud University Medical Centre, Nijmegen, The Netherlands.ORCID http://orcid.org/0000-0001-6157-3935
Richard J BoucherieCenter for Healthcare Operations Improvement and Research, University of Twente, Enschede, The Netherlands.ORCID http://orcid.org/0000-0002-1046-2044
Aura TimenPrimary and Community Care, Radboud University Medical Centre, Nijmegen, The Netherlands.ORCID http://orcid.org/0000-0002-5793-5443

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo identify which logistical and clinical healthcare key performance indicators (KPIs) were applied in hospitals during the COVID-19 pandemic and how frequently they were used when evaluating and optimising hospital care services.

designScoping review reported in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews (PRISMA-ScR) framework. DATA SOURCES: The search was performed in PubMed, CINAHL, EMBASE, Scopus and Web of Science and included articles published from the beginning of the COVID-19 pandemic, that is, 1 January 2020, until 11 November 2024, the date of the final search. The search strategy combined terms related to (1) COVID-19/pandemic, (2) performance and (3) hospital care. ELIGIBILITY CRITERIA: Eligible studies were peer-reviewed, English-language publications that reported measurable performance indicators evaluating or optimising hospital care services during the COVID-19 pandemic. Studies had to explicitly define or evaluate KPIs and focus on inpatient hospital settings (≥1 overnight stay) in countries within the European Union, the European Economic Area, the Schengen area or the UK. Multicountry or global studies were included when they contained relevant European data or when the geographical context was not determinant (eg, modelling studies). Exclusion criteria included non-peer-reviewed publications, conference abstracts, organisational reports, literature reviews, studies without original results, studies without accessible full text and non-English publications. DATA EXTRACTION AND SYNTHESIS: Titles, abstracts and full texts were screened independently by three reviewers. Disagreements were resolved through discussion and consultation with two additional reviewers. Relevant study characteristics and KPI-related information were extracted using a predefined data extraction form. KPIs were categorised inductively into thematic categories. Structured data were analysed at both the study and KPI-category level. Data without a predefined structure, such as KPI definitions and key findings, were analysed manually at the KPI-category level.

resultsAcross 94 included studies, 459 distinct KPIs were extracted. Given substantial heterogeneity, KPIs were grouped inductively into six main categories: (1) clinical outcomes, (2) resources and capacity, (3) care delivery volumes, (4) care delivery performance, (5) access time and sojourn time and (6) other indicators. KPIs were reported in diverse formats, including volumes, percentages, scores, scales, characteristics and binary outcomes. Identical KPIs were sometimes defined differently across studies, while similar measures were reported under different terminology. The most common reason for KPI use was for the comparison between pre-COVID-19 and COVID-19 periods, followed by supporting optimisation and exploring quality of care during the pandemic. Most studies emphasised either clinical or logistical indicators, with limited integration of both perspectives within a single performance assessment. The majority of KPIs were not pandemic-specific but reflected indicators already used in routine hospital performance monitoring.

conclusionsHospital performance during COVID-19 was evaluated using a wide range of heterogeneous KPIs, with substantial variation in definitions and reporting practices. Greater transparency and standardisation in KPI definitions may improve comparability, reproducibility and preparedness for future health crises. Integrating clinical and logistical performance perspectives may provide a broader view of hospital performance and support decision-making during pandemics.

Indexed as

COVID-19Delivery of Health CareHospitalsQuality Indicators, Health CareHumansPandemicsSARS-CoV-2COVID-19HospitalsQuality in health careReview

Identifiers

PMID42805654
PMCPMC13630113

What OpenQuestion holds

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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.