Evidence map›Paper›PMID 38911631›Full record

ArticleAnnals of surgery open : perspectives of surgical history, education, and clinical approaches2024

Adapting the World Health Organization's Surgical Safety Checklist to High-Income Settings: A Hybrid Effectiveness-Implementation Trial Protocol.

Nathan Turley, Karolina Kogut, Barbara Burian, Rachel Moyal-Smith, James Etheridge, Yves Sonnay, William Berry, Alan Merry, Alexander Hannenberg, Alex B Haynes and 6 more

Abstract read
In one paragraph

Article in Annals of surgery open : perspectives of surgical history, education, and clinical approaches, 2024. 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
–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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
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

16 authors.

Nathan TurleyFrom the Department of Surgery, Cumming School of Medicine, University of Calgary, Calgary AB, Canada.
Karolina KogutFrom the Department of Surgery, Cumming School of Medicine, University of Calgary, Calgary AB, Canada.
Barbara BurianNASA, Ames Research Center, Moffett Field, California, USA.
Rachel Moyal-SmithAriadne Labs, Brigham and Women's Hospital, Harvard T.H. Chan School of Public Health, Boston, MA.
James EtheridgeAriadne Labs, Brigham and Women's Hospital, Harvard T.H. Chan School of Public Health, Boston, MA.
Yves SonnayAriadne Labs, Brigham and Women's Hospital, Harvard T.H. Chan School of Public Health, Boston, MA.
William BerryDepartment of Health Policy and Management, Harvard T.H. Chan School of Public Health, Boston, MA.
Alan MerryDepartment of Anaesthesiology, Faculty of Medical and Health Science, University of Auckland, Auckland, New Zealand.
Alexander HannenbergAriadne Labs, Brigham and Women's Hospital, Harvard T.H. Chan School of Public Health, Boston, MA.
Alex B HaynesDepartment of Surgery and Perioperative Care, Dell Medical School, University of Texas Austin, Austin, TX.
Roger D DiasSTRATUS Center for Medical Simulation, Department of Emergency Medicine, Harvard Medical School, Boston, MA.
Kathryn HagenDepartment of Anaesthesia and Peri-operative Medicine, Te Toka Tumai|Auckland City Hospital, Te Whātua Ora|Health New Zealand, New Zealand.
George MolinaAriadne Labs, Brigham and Women's Hospital, Harvard T.H. Chan School of Public Health, Boston, MA.
Lisa SpruceSr. Director, Evidence-based Perioperative Practice at AORN, Denver, CO.
Carla WilliamsHealthcare Excellence Canada, Ottawa, Ontario, Canada.
Mary E BrindleAriadne Labs, Brigham and Women's Hospital, Harvard T.H. Chan School of Public Health, Boston, MA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: The proposed study aims to assess users' perceptions of a surgical safety checklist (SSC) reimplementation toolkit and its impact on SSC attitudes and operating room (OR) culture, meaningful checklist use, measures of surgical safety, and OR efficiency at 3 different hospital sites. Background: The High-Performance Checklist toolkit (toolkit) assists surgical teams in modifying and implementing or reimplementing the World Health Organization's SSC. Through the explore, prepare, implement, and sustain implementation framework, the toolkit provides a process and set of tools to facilitate surgical teams' modification, implementation, training on, and evaluation of the SSC. Methods: A pre-post intervention design will be used to assess the impact of the modified SSC on surgical processes, team culture, patient experience, and safety. This mixed-methods study includes quantitative and qualitative data derived from surveys, semi-structured interviews, patient focus groups, and SSC performance observations. Additionally, patient outcome and OR efficiency data will be collected from the study sites' health surveillance systems. Data analysis: Statistical data will be analyzed using Statistical Product and Service Solutions, while qualitative data will be analyzed thematically using NVivo. Furthermore, interview data will be analyzed using the Consolidated Framework for Implementation Research and reach, effectiveness, adoption, implementation, maintenance implementation frameworks. Setting: The toolkit will be introduced at 3 diverse surgical sites in Alberta, Canada: an urban hospital, university hospital, and small regional hospital. Anticipated impact: We anticipate the results of this study will optimize SSC usage at the participating surgical sites, help shape and refine the toolkit, and improve its usability and application at future sites.

Identifiers

PMID38911631
PMCPMC11191993

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.