Evidence map›Paper›PMID 22433873›Full record

ArticleBMC pediatrics2012

The evaluation of an evidence-based clinical answer format for pediatricians.

Iva Seto, Michelle Foisy, Brad Arkison, Terry Klassen, Katrina Williams

Abstract read
In one paragraph

Article in BMC pediatrics, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

5 authors.

Iva SetoDepartment of Pediatrics, University of Alberta, Edmonton, Canada. seto@ualberta.ca
Michelle Foisy
Brad Arkison
Terry Klassen
Katrina Williams

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundClinicians are increasingly using electronic sources of evidence to support clinical decision-making; however, there are multiple demands on clinician time, and summarised and synthesised evidence is needed. Clinical Answers (CA) have been developed to address this need; the CA is a synthesised evidence-based summary that supports point-of-care clinical decision-making. The aim of this paper is to report on a survey used to test and improve the CA format.

methodsAn online survey was sent to pediatricians via e-mail and posted on a child health clinical standards website. Quantitative data analysis consisted primarily of descriptive statistics; qualitative data analysis consisted of content analysis.

resultsEighty-three pediatricians responded to the survey. Most respondents found the CA useful or very useful (93%) and agreed or strongly agreed that the layout was effective and allowed them to quickly locate critical information (82%). Quantitative and qualitative data suggested that respondents thought there should be less detail in the linked figures and tables (p = 0.0002), but overall respondents seemed to think there was an appropriate level of detail in most sections of the CA.

conclusionsBased on the quantitative and qualitative survey responses, major and minor modifications to the CA format were implemented, such as removing forest plots, adding links in each addendum to bring the user back to the front page, and adding an 'Implications for practice' section to the CA. Findings suggest that CAs will be a useful tool for pediatricians; thus, the research team has now begun creating CAs to assist busy clinicians in their day-to-day clinical practice by providing high-quality information for decision-making at the point-of-care.

Indexed as

Decision MakingAdultData CollectionEvidence-Based MedicineHumansPediatricsQualitative Research

Identifiers

PMID22433873
PMCPMC3353169

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.