Evidence map›Paper›PMID 23140222›Full record

ArticleInternational journal of emergency medicine2012

Survey of preferred guideline attributes: what helps to make guidelines more useful for emergency health practitioners?

Samar Aboulsoud, Sue Huckson, Peter Wyer, Eddy Lang

Abstract read
In one paragraph

Article in International journal of emergency medicine, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
–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 synthesis or guideline pooled it.

  1. Guideline
  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

4 authors.

Samar AboulsoudWeill Cornell Medical College, Doha, Qatar. samarhassona@hotmail.com.
Sue Huckson
Peter Wyer
Eddy Lang

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

unlabelled

backgroundEnhancing CPG acceptance and implementation can play a major role in the development and establishment of emergency medicine as a specialty in many parts of the world. A Guideline International Network special interest group established to support collaboration to improve uptake of clinical practice guidelines (CPGs) across the emergency care sector conducted an international survey to identify attributes of guideline likely to enhance their use.

methodsA Web-based survey was undertaken to determine how CPGs were accessed, the preferred formats and attributes of guidelines, and familiarity with GRADE. The criteria used to identify preferred attributes of guidelines were adapted from the AGREE II Tool.

resultsTwo hundred six responses were received from 31 countries, 74/206 (36%) from the US, 28/206 (16%) from Canada, 17/206 (8%) from Australia and 15/206 (7%) from the UK. The majority of responses were from physicians (176/206, 85%) with 15/206 (7%) of responses from nurses and 9/206 (4%) from pre-hospital emergency services personnel. The preferred format for guidelines was clinical protocols that incorporated recommendations into workflow, and the most preferred attribute of guidelines was the clear identification of key recommendations. The results also identified that within the group that responded to the question related to GRADE, 66% were unfamiliar with this system for summarizing evidence in relationship to recommendations.

conclusionsThe findings provide the basis for further research to explore the most appropriate formats for guidelines or guidelines resources tailored to the needs of the emergency care providers.

Identifiers

PMID23140222
PMCPMC3571901

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.