A Pain eHealth Platform for Engaging Obese, Older Adults with Chronic Low Back Pain in Nonpharmacological Pain Treatments: Protocol for a Pilot Feasibility Study.

Autor:	Brooks AK; Department of Anesthesiology, Wake Forest School of Medicine, Winston Salem, NC, United States., Miller DP Jr; Department of General Internal Medicine, Wake Forest School of Medicine, Winston Salem, NC, United States., Fanning JT; Department of Health and Exercise Science, Wake Forest University, Winston Salem, NC, United States.; Department of Internal Medicine, Section on Gerontology and Geriatric Medicine, Wake Forest School of Medicine, Winston Salem, NC, United States., Suftin EL; Division of Public Health Sciences, Wake Forest School of Medicine, Winston Salem, NC, United States., Reid MC; Division of Geriatric and Palliative Medicine, Weill Cornell Medicine, New York, NY, United States., Wells BJ; Division of Public Health Sciences, Wake Forest School of Medicine, Winston Salem, NC, United States., Leng X; Division of Public Health Sciences, Wake Forest School of Medicine, Winston Salem, NC, United States., Hurley RW; Department of Anesthesiology, Wake Forest School of Medicine, Winston Salem, NC, United States.
Jazyk:	angličtina
Zdroj:	JMIR research protocols [JMIR Res Protoc] 2020 Jan 02; Vol. 9 (1), pp. e14525. Date of Electronic Publication: 2020 Jan 02.
DOI:	10.2196/14525
Abstrakt:	Background: Low back pain is a costly healthcare problem and the leading cause of disability among adults in the United States. Primary care providers urgently need effective ways to deliver evidence-based, nonpharmacological therapies for chronic low back pain. Guidelines published by several government and national organizations have recommended nonpharmacological and nonopioid pharmacological therapies for low back pain. Objective: The Pain eHealth Platform (PEP) pilot trial aims to test the feasibility of a highly innovative intervention that (1) uses an electronic health record (EHR) query to systematically identify a phenotype of obese, older adults with chronic low back pain who may benefit from Web-based behavioral treatments; (2) delivers highly tailored messages to eligible older adults with chronic low back pain via the patient portal; (3) links affected patients to a Web app that provides education on the efficacy of evidence-based, nonpharmacological, behavioral pain treatments; and (4) directs patients to existing Web-based health treatment tools. Methods: Using a three-step modified Delphi method, an expert panel of primary care providers will define a low back pain phenotype for an EHR query. Using the defined low back pain phenotype, an EHR query will be created to identify patients who may benefit from the PEP. Up to 15 patients with low back pain will be interviewed to refine the tailored messaging, esthetics, and content of the patient-facing Web app within the PEP. Up to 10 primary care providers will be interviewed to better understand the facilitators and barriers to implementing the PEP, given their clinic workflow. We will assess the feasibility of the PEP in a single-arm pragmatic pilot study in which secure patient portal invitations containing a hyperlink to the PEP Web app are sent to 1000 patients. The primary outcome of the study is usability as measured by the System Usability Scale. Results: Qualitative interviews with primary care providers were completed in April 2019. Qualitative interviews with patients will begin in December 2019. Conclusions: The PEP will leverage informatics and the patient portal to deliver evidence-based nonpharmacological treatment information to adults with chronic low back pain. Results from this study may help inform the development of Web-based health platforms for other pain and chronic health conditions. International Registered Report Identifier (irrid): DERR1-10.2196/14525. (©Amber K Keller Brooks, David P Miller Jr, Jason T Fanning, Erin L Suftin, M Carrington Reid, Brian J Wells, Xiaoyan Leng, Robert W Hurley. Originally published in JMIR Research Protocols (http://www.researchprotocols.org), 02.01.2020.)
Databáze:	MEDLINE
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