Evidence map›Paper›PMID 26567326›Full record

ArticleJournal of the American Medical Informatics Association : JAMIA2016

Experience with decision support system and comfort with topic predict clinicians' responses to alerts and reminders.

Nerissa S Bauer, Aaron E Carroll, Chandan Saha, Stephen M Downs

Open access · bronzeAbstract read
In one paragraph

Article in Journal of the American Medical Informatics Association : JAMIA, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
5.3field-weighted citation impact, top 5% 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

7 citing papers in PubMed, 1 synthesis or guideline pooled it, 15 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Article
  4. Article
  5. Observational
  6. Article
  7. 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
    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

4 authors at 2 institutions in 1 country.

Nerissa S BauerIndiana University School of Medicine, Department of Pediatrics, Section of Children's Health Services Research, Indianapolis, Indiana, USA Indiana University School of Medicine, Department of Pediatrics, Section of Pediatric and Adolescent Comparative Effectiveness Research, Indianapolis, Indiana, USA nsbauer@iu.edu.
Aaron E CarrollIndiana University School of Medicine, Department of Pediatrics, Section of Pediatric and Adolescent Comparative Effectiveness Research, Indianapolis, Indiana, USA Regenstrief Institute for Healthcare, Indianapolis, Indiana, USA.
Chandan SahaIndiana University School of Medicine, Department of Biostatistics, Indianapolis, Indiana, USA.
Stephen M DownsIndiana University School of Medicine, Department of Pediatrics, Section of Children's Health Services Research, Indianapolis, Indiana, USA Indiana University School of Medicine, Department of Pediatrics, Section of Pediatric and Adolescent Comparative Effectiveness Research, Indianapolis, Indiana, USA.
Indiana University School of MedicineIndiana University – Purdue University Indianapolis · US

Funding

Indiana Clinical and Translational Sciences InstituteUL1TR001108 · NCATS · INDIANA UNIVERSITY INDIANAPOLIS · PI DENNE, SCOTT C., SHEKHAR, ANANTHA · 2013 to 2017
$23.3M
Improving adolescent health outcomes through preventive care transformationR01HS022681 · AHRQ · INDIANA UNIVERSITY INDIANAPOLIS · PI AALSMA, MATTHEW · 2013 to 2013
$1.5M
Computer-Supported Management of Medical-Legal Issues Impacting Child HealthR01HS020640 · AHRQ · INDIANA UNIVERSITY INDIANAPOLIS · PI GILBERT, AMY LEWIS · 2012 to 2014
$1.5M
Delivering Geospatial Intelligence to Health Care ProfessionalsR01LM010923 · NLM · INDIANA UNIVERSITY INDIANAPOLIS · PI DOWNS, STEPHEN M. · 2011 to 2013
$1.0M
Computer Automated Developmental Surveillance and Screening (CADSS)R01HS017939 · AHRQ · INDIANA UNIVERSITY INDIANAPOLIS · PI CARROLL, AARON E. · 2009 to 2011
$899k
AHRQ HHS 1 R01 HS017939AHRQ HHS 1R01 HS020640AHRQ HHS 1R01HS022681NCATS NIH HHS UL1 TR001108NLM NIH HHS 1R01 LM010923
6 · The paper itself

Abstract

objectiveClinicians at our institution typically respond to about half of the prompts they are given by the clinic's computer decision support system (CDSS). We sought to examine factors associated with clinician response to CDSS prompts as part of a larger, ongoing quality improvement effort to optimize CDSS use.

methodsWe examined patient, prompt, and clinician characteristics associated with clinician response to decision support prompts from the Child Health Improvement through Computer Automation (CHICA) system. We asked pediatricians who were nonusers of CHICA to rate decision support topics as "easy" or "not easy" to discuss with patients and their guardians. We analyzed these ratings and data, from July 1, 2009 to January 29, 2013, utilizing a hierarchical regression model, to determine whether factors such as comfort with the prompt topic and the length of the user's experience with CHICA contribute to user response rates.

resultsWe examined 414 653 prompts from 22 260 patients. The length of time a clinician had been using CHICA was associated with an increase in their prompt response rate. Clinicians were more likely to respond to topics rated as "easy" to discuss. The position of the prompt on the page, clinician gender, and the patient's age, race/ethnicity, and preferred language were also predictive of prompt response rate.

conclusionThis study highlights several factors associated with clinician prompt response rates that could be generalized to other health information technology applications, including the clinician's length of exposure to the CDSS, the prompt's position on the page, and the clinician's comfort with the prompt topic. Incorporating continuous quality improvement efforts when designing and implementing health information technology may ensure that its use is optimized.

Indexed as

Attitude to ComputersClinical AlarmsDecision Support Systems, ClinicalPediatricsReminder SystemsAdolescentAttitude of Health PersonnelChildChild, PreschoolFemaleHumansInfantInfant, NewbornLogistic ModelsMaleMultivariate Analysisclinical guidelinescomputer-based decision supportpediatricsprimary care

Identifiers

PMID26567326
PMCPMC4954632
OpenAlexW2192110789

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.