Medical and non-medical direct costs of chronic low back pain in patients consulting primary care physicians in France

2010 ◽  
Vol 24 (1) ◽  
pp. 101-108 ◽  
Author(s):  
Fanny Depont ◽  
Elke Hunsche ◽  
Abdelilah Abouelfath ◽  
Thierno Diatta ◽  
Isabelle Addra ◽  
...  
PLoS ONE ◽  
2015 ◽  
Vol 10 (1) ◽  
pp. e0117521 ◽  
Author(s):  
Regina W. S. Sit ◽  
Benjamin H. K. Yip ◽  
Dicken C. C. Chan ◽  
Samuel Y. S. Wong

2017 ◽  
Vol 28 (2) ◽  
pp. 89-91
Author(s):  
Fauzia Sobhan ◽  
MSZ Khan ◽  
AKMAU Doza ◽  
Ameena Khandakar ◽  
MK Hassan

We presented a case of 45 years old unmarried woman who complaints of chronic low back pain and diagnosed as a case of Osteitis CondensansIlii (OCI). We are discussing this rare presentation of OCI to increase awareness among the specialty and primary care physicians, as it may be confused with other conditions like- Ankylosing Spondylitis (AS) and inflammatory arthritis. It also prevents misdiagnosis and extensive investigations that not only increase anxiety but are of little benefit.Medicine Today 2016 Vol.28(2): 89-91


2021 ◽  
Vol 16 (2) ◽  
pp. 2-6
Author(s):  
Ing Soo Lau ◽  
Swan Sim Yeap ◽  
Mollyza Mohd Zain ◽  
Habibah Mohd Yusoof ◽  
Sargunan Sockalingam ◽  
...  

Chronic low back pain, defined as back pain lasting for more than three months, can be divided into mechanical or inflammatory back pain (IBP). IBP typically starts in patients below the age of 40, is improved with activity and worsens with rest. IBP is strongly associated with axial spondyloarthritis. Early recognition of IBP among primary care physicians is essential for timely diagnosis and intervention to ensure the best outcomes for patients with axial spondyloarthritis. This paper describes the Malaysian Society of Rheumatology’s recently developed Inflammatory Back Pain Referral Algorithm for primary care physicians, which aims to facilitate the early identification and referral of IBP patients to rheumatologists.


Pain Medicine ◽  
2009 ◽  
Vol 10 (7) ◽  
pp. 1270-1279 ◽  
Author(s):  
Sean M. Phelan ◽  
Michelle Van Ryn ◽  
Melanie Wall ◽  
Diana Burgess

PLoS ONE ◽  
2018 ◽  
Vol 13 (9) ◽  
pp. e0204613 ◽  
Author(s):  
Pierre-Yves Rodondi ◽  
Julie Dubois ◽  
Anne-Sylvie Bill ◽  
Daria Koutaïssoff ◽  
Jenny Ros ◽  
...  

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


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