| Literature DB >> 30842708 |
Laura G Militello1, Shilo Anders2, Sarah M Downs3, Julie Diiulio4, Elizabeth C Danielson3, Robert W Hurley5, Christopher A Harle3.
Abstract
Chronic pain leads to reduced quality of life for patients, and strains health systems worldwide. In the U.S. 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 U.S. manage their patients with chronic noncancer pain. We conducted Critical Decision Method interviews with 10 primary care clinicians about 30 individual patients with chronic pain. In these interviews, we identified several patient, 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.Entities:
Keywords: Chronic Pain; Decision Making; Health; Opioids; Primary Care; Sensemaking
Year: 2018 PMID: 30842708 PMCID: PMC6398613 DOI: 10.1007/s10111-018-0491-1
Source DB: PubMed Journal: Cogn Technol Work ISSN: 1435-5558 Impact factor: 2.372