Evidence map›Paper›PMID 40574317›Full record

Observational studyEuropean journal of public health2025

Examining systemic differences in mortality after hip repair: a comparative analysis of 30- and 180-day adjusted mortality rates in five health systems.

Francisco Estupiñán-Romero, Santiago Royo-Sierra, Javier González-Galindo, Jinru Wei, Tania Sawaya, Astrid Van Wilder, Yu Qing Bai, Clas Rehnberg, Nils Janlöv, Reijo Sund and 3 more

Abstract readObservational StudyComparative Study
In one paragraph

Observational study in European journal of public health, 2025. 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

13 authors.

Francisco Estupiñán-RomeroData Science for Health Services and Policy Research Group, Institute for Health Sciences in Aragon (IACS), Aragón, Spain.
Santiago Royo-SierraData Science for Health Services and Policy Research Group, Institute for Health Sciences in Aragon (IACS), Aragón, Spain.
Javier González-GalindoData Science for Health Services and Policy Research Group, Institute for Health Sciences in Aragon (IACS), Aragón, Spain.
Jinru WeiCenter for Health System Sustainability, Department of Health Services, Policy & Practice, Brown University School of Public Health, Providence, RI, United States.
Tania SawayaCenter for Health System Sustainability, Department of Health Services, Policy & Practice, Brown University School of Public Health, Providence, RI, United States.
Astrid Van WilderCenter for Health System Sustainability, Department of Health Services, Policy & Practice, Brown University School of Public Health, Providence, RI, United States.
Yu Qing BaiInstitute of Health Policy, Management and Evaluation, University of Toronto, Toronto, Ontario, Canada.
Clas RehnbergDepartment of Learning, Informatics, Management and Ethics (LIME), Karolinska Institute, Stockholm, Sweden.
Nils JanlövDepartment of Learning, Informatics, Management and Ethics (LIME), Karolinska Institute, Stockholm, Sweden.
Reijo SundInstitute of Clinical Medicine, School of Medicine, Faculty of Health Sciences, University of Eastern Finland, Kuopio, Finland.ORCID 0000-0002-6268-8117
Walter P WodchisInstitute of Health Policy, Management and Evaluation, University of Toronto, Toronto, Ontario, Canada.
Irene PapanicolasCenter for Health System Sustainability, Department of Health Services, Policy & Practice, Brown University School of Public Health, Providence, RI, United States.ORCID 0000-0002-8000-3185
Enrique Bernal-DelgadoData Science for Health Services and Policy Research Group, Institute for Health Sciences in Aragon (IACS), Aragón, Spain.ORCID 0000-0002-0961-3298

Funding

Aragonese Government CUS/1638/2022Aragonese Government funding programme 2023-2025 Orden CUS/1638/2022Brown UniversityLondon School of Economics & Political ScienceLondon School of Economics & Political Science or Brown UniversityPhase 2 of the International Collaborative on Costs, Outcomes and Needs in Care
6 · The paper itself

Abstract

Outcomes after a hip repair in the older adult population are highly dependent on patients' characteristics. However, contextual factors such as the hospital of treatment may have an impact not sufficiently studied. We aimed to elicit the effect of hospital providers on all-cause-adjusted mortality rates after hip fracture repair. Observational study on virtually all potentially eligible hip fracture patients treated in 2240 hospitals from Ontario (Canada), Aragon (Spain), Finland, Sweden, and the USA (40 states). The primary endpoint was the risk-adjusted all-cause mortality after hip repair measured 30 days and 180 days after surgery. Following a federated approach, GAMM-logit models were run for each region. Median odds ratio (MOR) were estimated to elicit the variation at hospital level. The study included 535 519 hip repairs. The overall predicted 30-day adjusted mortality rate was 40.5 per 1000 hip repair episodes; 136.3 per 1000 hip repair episodes in the 180-day adjusted mortality rate. 30- and 180-day adjusted mortality rates were larger within the regions than across regions. Variance in patients' mortality at the hospital provider accounted for MOR: 1.43 in 30-day mortality and MOR: 1.35 in 180-day mortality. Beyond differences in the individual risk of death, our study found wide systemic variations in mortality rates in older adult patients exposed to hip fracture repair attributable to the hospital of treatment. Our results call for a reorientation of care pathways after hip repair in frail patients, both in the short- and the long-term.

Indexed as

Hip FracturesAgedAged, 80 and overFemaleFinlandHumansMaleOntarioSpainSwedenUnited States

Identifiers

PMID40574317
PMCPMC12529295

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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.