Patient characteristics and physicians' practice activities for patients with chronic low back pain: A practice-based study of primary care and chiropractic physicians

2001 ◽  
Vol 24 (2) ◽  
pp. 92-100 ◽  
Author(s):  
Joanne Nyiendo ◽  
Mitchell Haas ◽  
Bruce Goldberg ◽  
Gary Sexton
2003 ◽  
Vol 28 (8) ◽  
pp. 26-31 ◽  
Author(s):  
Kelly Phillips ◽  
Anne P.Y. Ch’ien ◽  
Barbara R. Norwood ◽  
Chris Smith

PLoS ONE ◽  
2015 ◽  
Vol 10 (7) ◽  
pp. e0131963 ◽  
Author(s):  
Lonneke van Hoeven ◽  
Yvonne Vergouwe ◽  
P. D. M. de Buck ◽  
Jolanda J. Luime ◽  
Johanna M. W. Hazes ◽  
...  

10.2196/14525 ◽  
2020 ◽  
Vol 9 (1) ◽  
pp. e14525
Author(s):  
Amber K Brooks ◽  
David P Miller Jr ◽  
Jason T Fanning ◽  
Erin L Suftin ◽  
M Carrington Reid ◽  
...  

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


2019 ◽  
Author(s):  
Amber K Brooks ◽  
David P Miller Jr ◽  
Jason T Fanning ◽  
Erin L Suftin ◽  
M Carrington Reid ◽  
...  

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 DERR1-10.2196/14525


2019 ◽  
Vol Volume 12 ◽  
pp. 2101-2112
Author(s):  
Pierre-Yves Rodondi ◽  
Anne-Sylvie Bill ◽  
Nadia Danon ◽  
Julie Dubois ◽  
Jérôme Pasquier ◽  
...  

Spine ◽  
2013 ◽  
Vol 38 (1) ◽  
pp. 65-74 ◽  
Author(s):  
Philip Wilkens ◽  
Inger B. Scheel ◽  
Oliver Grundnes ◽  
Christian Hellum ◽  
Kjersti Storheim

2014 ◽  
Vol 66 (3) ◽  
pp. 446-453 ◽  
Author(s):  
Lonneke van Hoeven ◽  
Jolanda Luime ◽  
Huub Han ◽  
Yvonne Vergouwe ◽  
Angelique Weel

2010 ◽  
Vol 24 (1) ◽  
pp. 101-108 ◽  
Author(s):  
Fanny Depont ◽  
Elke Hunsche ◽  
Abdelilah Abouelfath ◽  
Thierno Diatta ◽  
Isabelle Addra ◽  
...  

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