Evidence map›Paper›PMID 32734169›Full record

ArticleJAMIA open2020

Characterizing physicians' information needs related to a gap in knowledge unmet by current evidence.

Anna Ostropolets, RuiJun Chen, Linying Zhang, George Hripcsak

Abstract read
In one paragraph

Article in JAMIA open, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Data Consult Service: Can we use observational data to address immediate clinical needs?Journal of the American Medical Informatics Association : JAMIA · 2021
    Article
  6. 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.

Anna OstropoletsDepartment of Biomedical Informatics, Columbia University Medical Center, New York, New York, USA.
RuiJun ChenDepartment of Biomedical Informatics, Columbia University Medical Center, New York, New York, USA.
Linying ZhangDepartment of Biomedical Informatics, Columbia University Medical Center, New York, New York, USA.
George HripcsakDepartment of Biomedical Informatics, Columbia University Medical Center, New York, New York, USA.

Funding

Training in Biomedical Informatics at Columbia UniversityT15LM007079 · NLM · COLUMBIA UNIV NEW YORK MORNINGSIDE · PI NOEMIE ELHADAD, GEORGE M HRIPCSAK · 1992 to 2026
$28.9M
DISCOVERING AND APPLYING KNOWLEDGE IN CLINICAL DATABASESR01LM006910 · NLM · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI HRIPCSAK, GEORGE M · 2000 to 2023
$10.6M
NLM NIH HHS R01 LM006910NLM NIH HHS T15 LM007079
6 · The paper itself

Abstract

objectiveThe study sought to explore information needs arising from a gap in clinicians' knowledge that is not met by current evidence and identify possible areas of use and target groups for a future clinical decision support system (CDSS), which will guide clinicians in cases where no evidence exists. MATERIALS AND

methodsWe interviewed 30 physicians in a large academic medical center, analyzed transcripts using deductive thematic analysis, and developed a set of themes of information needs related to a gap in knowledge unmet by current evidence. We conducted additional statistical analyses to identify the correlation between clinical experience, clinical specialty, settings of clinical care, and the characteristics of the needs.

resultsThis study resulted in a set of themes and subthemes of information needs arising from a gap in current evidence. Experienced physicians and inpatient physicians had more questions and the number of questions did not decline with clinical experience. The main areas of information needs included patients with comorbidities, elderly and children, new drugs, and rare disorders. To address these questions, clinicians most often used a commercial tool, guidelines, and PubMed. While primary care physicians preferred the commercial tool, specialty physicians sought more in-depth knowledge. DISCUSSION: The current medical evidence appeared to be inadequate in covering specific populations such as patients with multiple comorbidities and elderly, and was sometimes irrelevant to complex clinical scenarios. Our findings may suggest that experienced and inpatient physicians would benefit from a CDSS that generates evidence in real time at the point of care.

conclusionsWe found that physicians had information needs, which arose from the gaps in current medical evidence. This study provides insights on how the CDSS that aims at addressing these needs should be designed.

Indexed as

clinical decision support systemevidence-based medicineinformation needsobservational studies

Identifiers

PMID32734169
PMCPMC7382620

What OpenQuestion holds

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LicenceCC BY-NC
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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.