Evidence map›Paper›PMID 34120597›Full record

ArticleBMC health services research2021

Effects of hospital funding reform on wait times for hip fracture surgery: a population-based interrupted time-series analysis.

Daniel Pincus, Jessica Widdifield, Karen S Palmer, J Michael Paterson, Alvin Li, Anjie Huang, David Wasserstein, Lauren Lapointe-Shaw, Adalsteinn Brown, Monica Taljaard and 1 more

Open access · goldAbstract read
In one paragraph

Article in BMC health services research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.4field-weighted citation impact, top 38% 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

3 citing papers in PubMed, 3 citations in OpenAlex.

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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 at 6 institutions in 1 country.

Daniel Pincus *Department of Surgery, University of Toronto, 149 College Street, Room 508-A, ON, M5T 1P5, Toronto, Canada. dpincus3@gmail.com.ORCID http://orcid.org/0000-0003-3783-8205
Jessica Widdifield *ICES, Toronto, Canada.ORCID http://orcid.org/0000-0002-7464-0460
Karen S PalmerWomen's College Research Institute, Women's College Hospital, Toronto, ON, Canada.ORCID http://orcid.org/0000-0003-2958-2289
J Michael PatersonICES, Toronto, Canada.ORCID http://orcid.org/0000-0001-5995-1714
Alvin LiICES, Toronto, Canada.
Anjie HuangICES, Toronto, Canada.ORCID http://orcid.org/0000-0001-9148-1038
David WassersteinDepartment of Surgery, University of Toronto, 149 College Street, Room 508-A, ON, M5T 1P5, Toronto, Canada.
Lauren Lapointe-ShawICES, Toronto, Canada.ORCID http://orcid.org/0000-0003-4485-6719
Adalsteinn BrownICES, Toronto, Canada.
Monica TaljaardOttawa Hospital Research Institute, Ottawa, Ontario, Canada.ORCID http://orcid.org/0000-0002-3978-8961
Noah M IversICES, Toronto, Canada.ORCID http://orcid.org/0000-0003-2500-2435
University of Toronto · CAOttawa Hospital · CASunnybrook Health Science Centre · CAInstitute for Clinical Evaluative Sciences · CASimon Fraser University · CAWomen's College Hospital · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHealth care funding reforms are being used worldwide to improve system performance but may invoke unintended consequences. We assessed the effects of introducing a targeted hospital funding model, based on fixed price and volume, for hip fractures. We hypothesized the policy change was associated with reduction in wait times for hip fracture surgery, increase in wait times for non-hip fracture surgery, and increase in the incidence of after-hours hip fracture surgery.

methodsThis was a population-based, interrupted time series analysis of 49,097 surgeries for hip fractures, 10,474 for ankle fractures, 1,594 for tibial plateau fractures, and 40,898 for appendectomy at all hospitals in Ontario, Canada between April 2012 and March 2017. We used segmented regression analysis of interrupted monthly time series data to evaluate the impact of funding reform enacted April 1, 2014 on wait time for hip fracture repair (from hospital presentation to surgery) and after-hours provision of surgery (occurring between 1700 and 0700 h). To assess potential adverse consequences of the reform, we also evaluated two control procedures, ankle and tibial plateau fracture surgery. Appendectomy served as a non-orthopedic tracer for assessment of secular trends.

resultsThe difference (95 % confidence interval) between the actual mean wait time and the predicted rate had the policy change not occurred was - 0.46 h (-3.94 h, 3.03 h) for hip fractures, 1.46 h (-3.58 h, 6.50 h) for ankle fractures, -3.22 h (-39.39 h, 32.95 h) for tibial plateau fractures, and 0.33 h (-0.57 h, 1.24 h) for appendectomy (Figure 1; Table 3). The difference (95 % confidence interval) between the actual and predicted percentage of surgeries performed after-hours - 0.90 % (-3.91 %, 2.11 %) for hip fractures, -3.54 % (-11.25 %, 4.16 %) for ankle fractures, 7.09 % (-7.97 %, 22.14 %) for tibial plateau fractures, and 1.07 % (-2.45 %, 4.59 %) for appendectomy.

conclusionsWe found no significant effects of a targeted hospital funding model based on fixed price and volume on wait times or the provision of after-hours surgery. Other approaches for improving hip fracture wait times may be worth pursuing instead of funding reform.

Indexed as

Hip FracturesWaiting ListsHospitalsHumansInterrupted Time Series AnalysisOntarioCanadaEpidemiologyFemurFracture Fixation, InternalHealth PolicyOntarioOrthopaedic SurgeryRetrospective studies

Identifiers

PMID34120597
PMCPMC8201723
OpenAlexW3169372840

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.