Evidence map›Paper›PMID 38100104›Full record

ArticleJAMA network open2023

Contextual Determinants of Time to Surgery for Patients With Hip Fracture.

Jessica M Welch, Giselle I Gomez, Maya Chatterjee, Lauren M Shapiro, Arden M Morris, Michael J Gardner, Alex H S Sox-Harris, Laurence Baker, Jayme C B Koltsov, Tiffany Castillo and 3 more

Open access · goldAbstract read
In one paragraph

Article in JAMA network open, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.9field-weighted citation impact, top 14% 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

5 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Article
  3. Admission to operation delay was associated with all-cause mortality in patients with hip fractures: a propensity score-matched retrospective study.European journal of trauma and emergency surgery : official publication of the European Trauma Society · 2025
    Article
  4. Observational
  5. Article
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 at 4 institutions in 1 country.

Jessica M WelchVOICES Health Policy Research Center, Department of Orthopaedic Surgery, Stanford University, Redwood City, California.
Giselle I GomezVOICES Health Policy Research Center, Department of Orthopaedic Surgery, Stanford University, Redwood City, California.
Maya ChatterjeeVOICES Health Policy Research Center, Department of Orthopaedic Surgery, Stanford University, Redwood City, California.
Lauren M ShapiroVOICES Health Policy Research Center, Department of Orthopaedic Surgery, Stanford University, Redwood City, California.
Arden M MorrisDepartment of Surgery, Stanford University, Stanford, California.
Michael J GardnerVOICES Health Policy Research Center, Department of Orthopaedic Surgery, Stanford University, Redwood City, California.
Alex H S Sox-HarrisDepartment of Surgery, Stanford University, Stanford, California.
Laurence BakerDepartment of Health Policy, Stanford University, Stanford, California.
Jayme C B KoltsovDepartment of Orthopaedic Surgery, Stanford University, Redwood City, California.
Tiffany CastilloDepartment of Orthopaedic Surgery, Santa Clara Valley Medical Center, San Jose, California.
Nicholas GioriDepartment of Orthopaedic Surgery, Veterans Affairs Palo Alto Health Care System, Palo Alto, California.
Aaron SalyapongseDepartment of Orthopaedic Surgery, Stanford University, Redwood City, California.
Robin N KamalVOICES Health Policy Research Center, Department of Orthopaedic Surgery, Stanford University, Redwood City, California.
Stanford University · USVA Palo Alto Health Care System · USColorado State University · USSanta Clara Valley Medical Center · US

Funding

Developing and Testing a Tool for Preference Elicitation in Carpal Tunnel SyndromeK23AR073307 · NIAMS · STANFORD UNIVERSITY · PI KAMAL, ROBIN N · 2018 to 2022
$866k
NIAMS NIH HHS K23 AR073307
6 · The paper itself

Abstract

Importance: Surgery within 24 hours after a hip fracture improves patient morbidity and mortality, which has led some hospitals to launch quality improvement programs (eg, targeted resource management, documented protocols) to address delays. However, these programs have had mixed results in terms of decreased time to surgery (TTS), identifying an opportunity to improve the effectiveness of interventions. Objective: To identify the contextual determinants (site-specific barriers and facilitators) of TTS for patients with hip fracture across diverse hospitals. Design, Setting, and Participants: This qualitative mixed-methods study used an exploratory sequential design that comprised 2 phases. In phase 1, qualitative semistructured interviews were conducted with stakeholders involved in hip fracture care (orthopedic surgeons or residents, emergency medicine physicians, hospitalists, anesthesiologists, nurses, and clinical or support staff) at 4 hospitals with differing financial, operational, and educational structures. Interviews were completed between May and July 2021. In phase 2, a quantitative survey assessing contextual determinants of TTS within 24 hours for adult patients with hip fracture was completed by orthopedic surgeon leaders representing 23 diverse hospitals across the US between May and July 2022. Data analysis was performed in August 2022. Main Outcomes and Measures: Thematic analysis of the interviews identified themes of contextual determinants of TTS within 24 hours for patients with hip fracture. The emergent contextual determinants were then measured across multiple hospitals, and frequency and distribution were used to assess associations between determinants and various hospital characteristics (eg, setting, number of beds). Results: A total of 34 stakeholders were interviewed in phase 1, and 23 surveys were completed in phase 2. More than half of respondents in both phases were men (19 [56%] and 18 [78%], respectively). The following 4 themes of contextual determinants of TTS within 24 hours were identified: availability, care coordination, improvement climate, and incentive structure. Within these themes, the most commonly identified determinants across the various hospitals involved operating room availability, a formal comanagement system between orthopedics and medicine or geriatrics, the presence of a physician champion focused on timely surgery, and a program that facilitates improvement work. Conclusions and Relevance: In this study, contextual determinants of TTS within 24 hours for patients with hip fracture varied across hospital sites and could not be generalized across various hospital contexts because no 2 sites had identical profiles. As such, these findings suggest that guidance on strategies for improving TTS should be based on the contextual determinants unique to each hospital.

Indexed as

Emergency MedicineHip FracturesAdultAnesthesiologistsClimateFemaleHospitalsHumansMale

Identifiers

PMID38100104
PMCPMC10724766
OpenAlexW4389794639

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.