Evidence map›Paper›PMID 41229668›Full record

ArticleJournal of the Medical Library Association : JMLA2025

Cognitive biases as interrupters in evidence based practice decision-making.

Jonathan D Eldredge, Deirdre A Hill

Abstract read
In one paragraph

Article in Journal of the Medical Library Association : JMLA, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

2 authors.

Jonathan D Eldredgejeldredge@salud.unm.edu, Professor, Health Sciences Library and Informatics Center. Professor, Department of Family & Community Medicine, School of Medicine. Professor, College of Population Health University of New Mexico, Albuquerque, NM.ORCID https://orcid.org/0000-0003-3132-9450
Deirdre A HillDAHill@salud.unm.edu, Associate Professor, School of Medicine, University of New Mexico, Albuquerque, NM.ORCID https://orcid.org/0000-0002-8495-659X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: To identify the most frequently-observed forms of cognitive bias among Health Information Professionals (HIPs) during decision-making processes. To determine if number of years in the profession influences the types of cognitive biases perceived in others' decisions. Method: This cross-sectional study invited participation of 498 elected and appointed leaders at the national, caucus, and chapter levels of the Medical Library Association. The 149 participants (32%) were presented with 24 cognitive biases often associated with expected decision-making contexts among HIPs. Results: The most frequently observed forms of cognitive bias in decision-making situations were: Status Quo, Sunk Costs, Novelty, Professionology, Authority, Worst-Case Scenario, and Group Think. Four of these overlapped with a previous 2007 study. Results were analyzed by length of years in the profession. Four forms of cognitive bias showed statistically significant differences in frequency by years in the profession: Authority, Naïve Realism, Overconfidence, and Status quo forms of cognitive bias. Discussion: This study identified commonly observed cognitive biases that interrupt decision-making processes. These results provide a first step toward developing solutions. Mitigation strategies for the seven most common forms of identified cognitive bias are explored with more general recommendations for all forms of cognitive bias. This study should guide the profession on the most commonly-perceived forms of cognitive bias occurring in decision-making environments with an eye upon possible mitigation strategies.

Indexed as

CognitionDecision MakingEvidence-Based PracticeLibrariansAdultCross-Sectional StudiesFemaleHumansMaleCognitive BiasDecision MakingEvidence Based PracticeGroup ProcessesHealth Information ProfessionalsHealth Sciences LibrarianshipInformaticistsLeadershipMedical Library Association

Identifiers

PMID41229668
PMCPMC12604062

What OpenQuestion holds

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Registered trials

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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.