ArticleWorld journal of surgery2022
Global Survey of Demand-Side Factors and Incentives that Influence Advanced Trauma Life Support (ATLS) Promulgation.
Article in World journal of surgery, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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.
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.
Who cites it
3 citing papers in PubMed.
- 2026 Donald Trunkey Lecture: strengthening care for the injured globally: successes, challenges, opportunities.Trauma surgery & acute care open · 2026Review
- Impact of an advanced trauma life support (ATLS) simulation program on nursing students' clinical decision-making in trauma care: a quasi-experimental study.BMC medical education · 2025Article
- Robust Evaluations of Trauma Care Training Courses Can Generate Evidence to Support Their Global Promulgation.World journal of surgery · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
12 authors.
Funding
Abstract
backgroundWe aimed to identify and describe demand-side factors that have been used to support ATLS global promulgation, as well as current gaps in demand-side incentives.
methodsWe performed a cross-sectional survey about demand-side factors that influence the uptake and promulgation of ATLS and other trauma-related CME courses. The survey was sent to each of the four global ATLS region chiefs and 80 ATLS country directors. Responses were described and qualitative data were analyzed using a content analysis framework.
resultsRepresentatives from 30 countries and each region chief responded to the survey (40% response rate). Twenty of 30 country directors (66%) reported that there were some form of ATLS verification requirements. ATLS completion, not current verification, was often the benchmark. Individual healthcare systems were the most common agency to require ATLS verification (37% of countries) followed by medical/surgical accreditation boards (33%), governments (23%), training programs (27%), and professional societies (17%). Multiple credentialing frameworks were reported including making ATLS verification a requirement for: emergency unit or trauma center designation (40%), contract renewal or promotion (37%); professional licensing (37%); training program graduation (37%); and increases in remuneration (3%). Unique demand-side incentives were reported including expansion of ATLS to non-physician cadre credentialing and use of subsidies.
conclusionATLS region chiefs and country directors reported a variety of demand-side incentives that may facilitate the promulgation of ATLS. Actionable steps include: (i) shift incentivization from ATLS course completion to maintenance of verification; (ii) develop an incentive toolkit of best practices to support implementation; and (iii) engage leadership stakeholders to use demand-side incentives to improve the training and capabilities of the providers they oversee to care for the injured.
Indexed as
Identifiers
35128569What OpenQuestion holds
Registered trials
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.