Evidence map›Paper›PMID 23646078›Full record

ArticleApplied clinical informatics2012

Understanding why clinicians answer or ignore clinical decision support prompts.

A E Carroll, V Anand, S M Downs

Open access · greenAbstract read
In one paragraph

Article in Applied clinical informatics, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
3.2field-weighted citation impact, top 7% 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

12 citing papers in PubMed, 28 citations in OpenAlex.

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  7. An in-hospital clinical care pathway with integrated decision support for cancer pain management reduced pain intensity and needs for hospital stay.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2020
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  8. Pediatric decision support using adapted Arden Syntax.Artificial intelligence in medicine · 2018
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  9. Physician Intervention to Positive Depression Screens Among Adolescents in Primary Care.The Journal of adolescent health : official publication of the Society for Adolescent Medicine · 2018
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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

3 authors at 2 institutions in 1 country.

A E CarrollChildren’s Health Services Research, Indiana University School of Medicine, Indianapolis, IN, USA. aaecarro@iupui.edu
V Anand
S M Downs
Indiana University – Purdue University Indianapolis · USIndiana University School of Medicine

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThe identification of key factors influencing responses to prompts and reminders within a computer decision support system (CDSS) has not been widely studied. The aim of this study was to evaluate why clinicians routinely answer certain prompts while others are ignored.

methodsWe utilized data collected from a CDSS developed by our research group--the Child Health Improvement through Computer Automation (CHICA) system. The main outcome of interest was whether a clinician responded to a prompt.

resultsThis study found that, as expected, some clinics and physicians were more likely to address prompts than others. However, we also found clinicians are more likely to address prompts for younger patients and when the prompts address more serious issues. The most striking finding was that the position of a prompt was a significant predictor of the likelihood of the prompt being addressed, even after controlling for other factors. Prompts at the top of the page were significantly more likely to be answered than the ones on the bottom.

conclusionsThis study detailed a number of factors that are associated with physicians following clinical decision support prompts. This information could be instrumental in designing better interventions and more successful clinical decision support systems in the future.

Indexed as

Practice Guidelines as TopicChildChild Health ServicesDecision Support Systems, ClinicalGuideline AdherenceHumansIndianaPhysiciansPractice Patterns, Physicians'Reminder SystemsCHICAClinical decision support systemsEMRpromptsscreening

Identifiers

PMID23646078
PMCPMC3613030
OpenAlexW2096857221

What OpenQuestion holds

Textmetadata
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.