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Clinical outcomes and opportunities for improvement across modified trauma quality improvement cohorts: a registry-based cohort study
Department of Global Public Health, Karolinska Institutet, Stockholm, 171 77, Sweden; Perioperative Medicine and Intensive Care, Karolinska University Hospital, Solna, Stockholm, Sweden.ORCID iD: 0000-0002-9546-5788
Department of Global Public Health, Karolinska Institutet, Stockholm, 171 77, Sweden; Department of Clinical Science, Intervention and Technology, Division of Surgery and Oncology, Karolinska Institutet, Karolinska University Hospital Huddinge, Stockholm, Sweden.ORCID iD: 0000-0001-5424-7111
Department of Anesthesiology, Mora Hospital, Mora, Sweden.ORCID iD: 0000-0002-7723-4273
KTH, School of Engineering Sciences in Chemistry, Biotechnology and Health (CBH), Biomedical Engineering and Health Systems, Health Informatics and Logistics.ORCID iD: 0000-0002-8359-5745
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2026 (English)In: Scandinavian Journal of Trauma, Resuscitation and Emergency Medicine, E-ISSN 1757-7241, Vol. 34, no 1, article id 140Article in journal (Refereed) Published
Abstract [en]

Background

The American College of Surgeons Trauma Quality Improvement Program (TQIP) relies primarily on risk-adjusted mortality benchmarking, yet mortality alone may overlook non-fatal morbidity and care-process failures, particularly in cohorts where outcomes are driven by injury severity. This study aimed to analyse and compare 30-day mortality, cause of death, functional outcomes as measured by the Glasgow Outcome Scale (GOS), and opportunities for improvement (OFIs) identified through peer review across modified TQIP cohorts.

Methods

Registry-based cohort study of 8,298 trauma patients at Karolinska University Hospital (2013–2023), classified into four modified TQIP cohorts: isolated severe TBI, blunt multisystem with TBI, blunt multisystem without TBI, and penetrating truncal injury. Remaining patients, of lower severity on average, formed a non-TQIP reference cohort. Cohort associations with mortality, unfavourable GOS, and OFI were assessed using cumulative sequential logistic regression (reference: non-TQIP cohort), progressively adjusting for patient characteristics, physiological status, and care processes, pooled across 20 imputed datasets. Cause of death, GOS levels, and OFI categories were compared using multinomial logistic regression.

Results

All TQIP cohorts had elevated odds of mortality and unfavourable GOS. The blunt multisystem cohorts had the highest OFI rates (10.6% with TBI, 16.9% without) and were the only cohorts with elevations across all OFI categories, including potentially preventable deaths and clinical judgement errors. Care-process adjustment (e.g. emergency interventions, time to radiology, care level) reduced their mortality ORs, suggesting potentially modifiable processes. Isolated severe TBI had the highest mortality (52.8%) but no OFI excess, suggesting outcomes driven by primary injury rather than care-process failures. Penetrating truncal injury showed high, potentially preventable, haemorrhage-related mortality but favourable functional recovery in survivors after care-process adjustment.

Conclusions

Outcome profiles differed across TQIP cohorts and were not captured by mortality alone: isolated severe TBI had the highest mortality but no OFI excess, while the blunt multisystem cohorts had the greatest OFI burden and potentially preventable deaths despite lower mortality. Penetrating truncal injury showed high haemorrhage-related mortality but favourable functional recovery in survivors. Integrating functional outcomes and structured peer review alongside mortality identifies cohorts amenable to quality improvement and reveals cohort-specific processes to target.

Place, publisher, year, edition, pages
Springer Nature , 2026. Vol. 34, no 1, article id 140
Keywords [en]
Trauma, Quality improvement, TQIP, Mortality, Glasgow Outcome Scale, Opportunities for improvement, Peer review, Registry-based cohort study
National Category
Medical Informatics Public Health, Global Health and Social Medicine
Research subject
Medical Technology
Identifiers
URN: urn:nbn:se:kth:diva-387825DOI: 10.1186/s13049-026-01674-6ISI: 001854324800001PubMedID: 42625180Scopus ID: 2-s2.0-105047882383OAI: oai:DiVA.org:kth-387825DiVA, id: diva2:2097200
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Karolinska Institute
Note

QC 20260901

Available from: 2026-08-31 Created: 2026-08-31 Last updated: 2026-09-03Bibliographically approved

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Jacobsson, Martin

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