Evidence map›Paper›PMID 41994127›Full record

ArticleResearch square2026

Burnout and Cognitive Load Among Primary Care Clinicians: A Cross-Sectional Mixed-Methods Survey Study.

Yohali Burrola-Mendez, Imara I West, Maria G Prado, Tracy M Anastas, Christopher W Lewis, Angad P Singh, Matthew B Jaffy, Kari A Stephens

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In one paragraph

Article in Research square, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

8 authors.

Yohali Burrola-MendezUniversity of Washington.
Imara I WestUniversity of Washington.
Maria G PradoUniversity of Washington.
Tracy M AnastasUniversity of Washington.
Christopher W LewisUniversity of Washington.
Angad P SinghUniversity of Washington.
Matthew B JaffyUniversity of Washington.
Kari A StephensUniversity of Washington.

Funding

Psychiatry Primary Care NRSA T-32 AwardT32MH020021 · NIMH · UNIVERSITY OF WASHINGTON · PI JOHN C. FORTNEY, JURGEN UNUTZER · 1998 to 2026
$5.6M
NIMH NIH HHS T32 MH020021
6 · The paper itself

Abstract

Background: Burnout is highly prevalent among primary care clinicians (PCCs) and is associated with reduced job satisfaction, clinician turnover, and lower quality of care. While administrative burden and electronic health record (EHR) complexity are recognized contributors, less attention has been paid to cognitive load, the mental effort required to process and act on complex clinical information, as a potential mechanism underlying burnout. Cognitive load theory suggests that excessive mental and temporal demands may impair performance and increase strain, yet few studies have examined cognitive load and burnout concurrently in primary care. We aimed to assess the prevalence of burnout and cognitive load among PCCs, evaluate differences by clinician characteristics, and examine associations between cognitive load domains and burnout. Methods: We conducted a cross-sectional survey of PCCs within the University of Washington Medicine Primary Care healthcare system (August-December 2023). Burnout was measured using the 9-item Abbreviated Maslach Burnout Inventory (aMBI) and defined as high emotional exhaustion (>8) and/or depersonalization (>5). Cognitive load was assessed using the NASA Task Load Index (NASA-TLX). Linear regression models examined associations between burnout status and NASA-TLX domains, adjusting for age, gender, race, ethnicity, percentage of time performing clinical work, and years of clinical practice. Open-ended responses were analyzed inductively using thematic analysis. Results: Among 68 clinicians with complete data (mean age 44.4 years; 73.5% non-male), 77.9% met criteria for burnout. PCCs with burnout reported significantly higher mental demand ( Conclusions: Burnout among primary care clinicians was common and was associated with higher reported mental and temporal demands and frustration. These findings suggest that cognitive load and burnout are closely related within contemporary primary care environments characterized by high administrative and clinical complexity. Interventions aimed at optimizing workflows and reducing unnecessary cognitive burden warrant further investigation to determine whether addressing cognitive load may contribute to improved clinician well-being.

Indexed as

BurnoutCognitive LoadElectronic Health RecordsPrimary Health CareProfessionalWorkload

Identifiers

PMID41994127
PMCPMC13082119

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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.