Relationship between number of health problems addressed during a primary care patient visit and clinician workload.


Journal

Applied ergonomics
ISSN: 1872-9126
Titre abrégé: Appl Ergon
Pays: England
ID NLM: 0261412

Informations de publication

Date de publication:
Apr 2020
Historique:
received: 14 12 2018
revised: 09 07 2019
accepted: 13 12 2019
entrez: 28 1 2020
pubmed: 28 1 2020
medline: 23 10 2020
Statut: ppublish

Résumé

Primary care is complex due to multiple health problems being addressed in each patient visit. Little is known about the effect of the number of problems per encounter (NPPE) on the resulting clinician workload (CWL), as measured using the National Aeronautics and Space Administration Task Load Index (NASA-TLX). We evaluated the relationship between NPPE and CWL across 608 adult patient visits, conducted by 31 clinicians, using hierarchical linear regression. Clinicians were interviewed about outlier visits to identify reasons for higher or lower than expected CWL. Mean NPPE was 3.30 ± 2.0 (sd) and CWL was 47.6 ± 18.4 from a maximum of 100. Mental demand, time demand and effort accounted for 71.5% of CWL. After adjustment for confounders, each additional problem increased CWL by 3.9 points (P < 0.001). Patient, problem, environmental and patient-physician relationship factors were qualitatively identified from interviews as moderators of this effect. CWL is positively related to NPPE. Several modifiable factors may enhance or mitigate this effect. Our findings have implications for using a Human Factors (HF) approach to managing CWL.

Identifiants

pubmed: 31983397
pii: S0003-6870(19)30241-8
doi: 10.1016/j.apergo.2019.103035
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

103035

Informations de copyright

Copyright © 2019 Elsevier Ltd. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of competing interest None.

Auteurs

Jonathan L Temte (JL)

University of Wisconsin School of Medicine and Public Health, Department of Family Medicine and Community Health, 1100 Delaplaine Court, Madison, WI, 53715, USA. Electronic address: jon.temte@fammed.wisc.edu.

John W Beasley (JW)

University of Wisconsin School of Medicine and Public Health, Department of Family Medicine and Community Health, 1100 Delaplaine Court, Madison, WI, 53715, USA; University of Wisconsin, Department of Industrial and Systems Engineering, 1415 Engineering Drive, Madison, WI, 53706, USA.

Richard J Holden (RJ)

Indiana University School of Medicine, Department of Medicine 545 Barnhill Dr., Emerson Hall 305, Indianapolis, IN, 46202, USA.

Ben-Tzion Karsh (BT)

University of Wisconsin, Department of Industrial and Systems Engineering, 1415 Engineering Drive, Madison, WI, 53706, USA. Electronic address: jon.temte@fammed.wisc.edu.

Beth Potter (B)

University of Wisconsin School of Medicine and Public Health, Department of Family Medicine and Community Health, 1100 Delaplaine Court, Madison, WI, 53715, USA.

Paul Smith (P)

University of Wisconsin School of Medicine and Public Health, Department of Family Medicine and Community Health, 1100 Delaplaine Court, Madison, WI, 53715, USA.

Peggy O'Halloran (P)

Eau Claire City-County Health Department, 720 2nd Ave, Eau Claire, WI, 54703, USA.

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Classifications MeSH