Understanding how primary care clinicians make sense of chronic pain

Chronic pain leads to reduced quality of life for patients, and strains health systems worldwide. In the US and some other countries, the complexities of caring for chronic pain are exacerbated by individual and public health risks associated with commonly used opioid analgesics. To help understand...

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Veröffentlicht in:Cognition, technology & work technology & work, 2018-11, Vol.20 (4), p.575-584
Hauptverfasser: Militello, Laura G., Anders, Shilo, Downs, Sarah M., Diiulio, Julie, Danielson, Elizabeth C., Hurley, Robert W., Harle, Christopher A.
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container_issue 4
container_start_page 575
container_title Cognition, technology & work
container_volume 20
creator Militello, Laura G.
Anders, Shilo
Downs, Sarah M.
Diiulio, Julie
Danielson, Elizabeth C.
Hurley, Robert W.
Harle, Christopher A.
description Chronic pain leads to reduced quality of life for patients, and strains health systems worldwide. In the US and some other countries, the complexities of caring for chronic pain are exacerbated by individual and public health risks associated with commonly used opioid analgesics. To help understand and improve pain care, this article uses the data frame theory of sensemaking to explore how primary care clinicians in the US manage their patients with chronic noncancer pain. We conducted Critical Decision Method interviews with ten primary care clinicians about 30 individual patients with chronic pain. In these interviews, we identified several patients, social/environmental, and clinician factors that influence the frames clinicians use to assess their patients and determine a pain management plan. Findings suggest significant ambiguity and uncertainty in clinical pain management decision making. Therefore, interventions to improve pain care might focus on supporting sensemaking in the context of clinical evidence rather than attempting to provide clinicians with decontextualized and/or algorithm-based decision rules. Interventions might focus on delivering convenient and easily interpreted patient and social/environmental information in the context of clinical practice guidelines.
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subjects Aerospace Technology and Astronautics
Automotive Engineering
Chronic pain
Clinical decision making
Cognitive Psychology
Computer Science
Industrial and Organizational Psychology
Medicine/Public Health
Original Article
Pain management
Primary care
User Interfaces and Human Computer Interaction
title Understanding how primary care clinicians make sense of chronic pain
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