Evidence map›Paper›PMID 28764766›Full record

ArticleBMC medical informatics and decision making2017

Physicians' pharmacogenomics information needs and seeking behavior: a study with case vignettes.

Bret S E Heale, Aly Khalifa, Bryan L Stone, Scott Nelson, Guilherme Del Fiol

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in BMC medical informatics and decision making, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Approaches to assessing the provider experience with clinical pharmacogenomic information: a scoping review.Genetics in medicine : official journal of the American College of Medical Genetics · 2021
    Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Prototype of a Standards-Based EHR and Genetic Test Reporting Tool Coupled with HL7-Compliant Infobuttons.AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science · 2018
    Article
  11. Integrating pharmacogenetic testing into primary care.Expert review of precision medicine and drug development · 2017
    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.

Bret S E HealeDepartment of Biomedical Informatics, University of Utah, 421 Wakara Way, Salt Lake City, UT, 84108, USA.
Aly KhalifaDepartment of Biomedical Informatics, University of Utah, 421 Wakara Way, Salt Lake City, UT, 84108, USA.
Bryan L StoneDepartment of Pediatrics, University of Utah, Salt Lake City, UT, USA.
Scott NelsonVanderbilt University Medical Center, Nashville, TN, USA.
Guilherme Del FiolDepartment of Biomedical Informatics, University of Utah, 421 Wakara Way, Salt Lake City, UT, 84108, USA. guilherme.delfiol@utah.edu.ORCID http://orcid.org/0000-0001-9954-6799

Funding

UNIVERSITY OF UTAH MEDICAL INFORMATICS TRAININGT15LM007124 · NLM · UTAH STATE HIGHER EDUCATION SYSTEM--UNIVERSITY OF UTAH · PI Karen Louise Eilbeck · 1997 to 2026
$22.0M
Meeting Clinicians' Information Needs with Highly Tailored Knowledge SummariesR01LM011416 · NLM · UNIVERSITY OF UTAH · PI DEL FIOL, GUILHERME · 2013 to 2016
$1.3M
NLM NIH HHS R01 LM011416NLM NIH HHS T15 LM007124
6 · The paper itself

Abstract

backgroundGenetic testing, especially in pharmacogenomics, can have a major impact on patient care. However, most physicians do not feel that they have sufficient knowledge to apply pharmacogenomics to patient care. Online information resources can help address this gap. We investigated physicians' pharmacogenomics information needs and information-seeking behavior, in order to guide the design of pharmacogenomics information resources that effectively meet clinical information needs.

methodsWe performed a formative, mixed-method assessment of physicians' information-seeking process in three pharmacogenomics case vignettes. Interactions of 6 physicians' with online pharmacogenomics resources were recorded, transcribed, and analyzed for prominent themes. Quantitative data included information-seeking duration, page navigations, and number of searches entered.

resultsWe found that participants searched an average of 8 min per case vignette, spent less than 30 s reviewing specific content, and rarely refined search terms. Participants' information needs included a need for clinically meaningful descriptions of test interpretations, a molecular basis for the clinical effect of drug variation, information on the logistics of carrying out a genetic test (including questions related to cost, availability, test turn-around time, insurance coverage, and accessibility of expert support).Also, participants sought alternative therapies that would not require genetic testing.

conclusionThis study of pharmacogenomics information-seeking behavior indicates that content to support their information needs is dispersed and hard to find. Our results reveal a set of themes that information resources can use to help physicians find and apply pharmacogenomics information to the care of their patients.

Indexed as

Attitude of Health PersonnelGenetic TestingHealth Knowledge, Attitudes, PracticeInformation Seeking BehaviorPharmacogeneticsPhysiciansAdultHumansQualitative ResearchAccess to informationInformation seeking behaviorPharmacogenomicsPhysician information needs assessment

Identifiers

PMID28764766
PMCPMC5540399

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.