Lumbar Imaging with Reporting of Epidemiology (LIRE): Primary
A LIRE provider is any provider who ordered an index lumbar spine image for one or more participants in the LIRE trial A non-LIRE provider is any other provider Any provider includes both LIRE and non-LIRE providers
An Interview with Dr Jerry Jarvik
That was the spark of the LIRE trial, a pragmatic trial to answer this question: Does inserting prevalence information decrease downstream spine-related utilization or opioid prescribing rates by primary care physicians? Design LIRE is a cluster randomized trial with a stepped-wedge crossover design The primary unit of randomization is the
Blood flow restriction training Manual
exercise (LIRE) that when applied has demonstrated enhanced muscle growth, muscle strength, oxygen delivery and utilization (VO2Max) Currently two methods of BFR training exist, one of which is known as practical blood flow restriction (PBFR), with the second being pneumatic controlled BFR
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À LIRE - regionreunion
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UW Medicine/ UNIVERSITY ofWASHINGTON
Jeffrey (Jerry) Jarvik, MD MPH
Departments of Radiology, Neurological Surgery, Health Services Comparative Effectiveness, Cost and Outcomes Research CenterPatrick Heagerty, PhD
Professor, Department of Biostatistics
Director, Center for Biomedical Statistics
NIH Health Systems Collaboratory Grand Rounds 11/8/19Lumbar Imaging with Reporting
of Epidemiology (LIRE): PrimaryResults and Lessons Learned
Disclosures (Jarvik)
Wolters Kluwer/UpToDate: Royalties as a topic contributor Springer Publishing: Royalties as a co-editor for EvidenceBased Neuroimaging Diagnosis and Treatment
GE-AUR Radiology Research Academic Fellowship: Travel reimbursement to academic advisory board meetingNIH: UH2 AT007766-01; UH3 AT007766; P30 AR072572
Acknowledgements
Talk Outline
Brief review of study goals/design
Main results
Next steps and some lessons
learnedLIRE (pronounced leer)
Background and Rationale
Lumbar spine imaging frequently
reveals incidental findingsThese findings may have an adverse
effect on:Subsequent healthcare utilization
Patient health related quality of life
Disc Degeneration in Asx
Results: Subsequent Narcotic Rx
Within 1 Yr(retrospective pilot)
p=0.01OR*=0.29
5/7137/166
* Adjusted for imaging severityPrimary Hypothesis
For patients referred from primary care,
inserting prevalence benchmark data in lumbar spine imaging reports will reduce overall spine-related healthcare utilization as measured by spine-related relative value units (RVUs)Secondary Hypotheses
We also hypothesized that the
intervention would decrease:Subsequent cross-sectional imaging
(MR/CT)Opioid prescriptions
Spinal injections
Surgery
Intervention Text
The following findings are so common in normal,
pain-free volunteers, that while we report their presence, they must be interpreted with caution and in the context of the clinical situation. Among people between the age of 40 and 60 years, who do nothave back pain, a plain film x-ray will find that about:8 in 10 have disk degeneration
6 in 10 have disk height loss
Note that even 3 in 10 means that the finding is
quite common in people without back pain.Randomization
Cluster (clinic)
Stepped wedge (one way crossover)
Stepped Wedge RCT
Clinics in
Clinics in
Clinics in
Clinics in
Clinics in
Analytic Approach-RVUs
Primary
Linear mixed effects models or
generalized linear mixed modelsLog transformation of RVU to address
right skewRandom effects for clinic, TX, provider
Robust standard errors
All analyses used intention to treat
Analytic Approach-Opioids
Similar to RVU approach except used
logistic models for binary outcomePost hoc sensitivity analyses
alternative modelingLIRE vs. non-LIRE providers
Talk Outline
Brief review of study goals/design
Main results
Next steps and some lessons
learnedStepped Wedge Consort
Randomization Waves
# Primary CareClinics
Randomized
# PatientsRandomized/Analyzed
Control
# PatientsRandomized/Analyzed
Intervention
Wave 1
clinics 1910,63041,558Wave 2
clinics2015,60531,611Wave 3
clinics2029,62830,157Wave 4
clinics1821,97010,277Wave 5
clinics2139,6227,828Total98117,455121,431
X-over784 (1%) intervention15,888 (13%) no interventionBaseline
ControlIntervention
SiteA6,950 (6)7,388 (6)
B96,275 (82)100,729 (83)
C7,486 (7)7,726 (6)
D6,384 (5)5,588 (5)
Age18-3921,237 (18)22,105 (18)
40-6045,032 (38)44,995 (37)
>6051,186 (44)54,331 (45) RaceAsian13,311 (11)13,197 (11)
Black or African Amer11,919 (10)11,649 (10)
Other2,170 (2)2,306 (1)
White76,431 (65)79,142 (65)
Unknown13,624 (12)15,308 (13)
Baseline
ControlIntervention
Ethnicity
Hispanic or Latino17,754 (15)18,475 (15)
Not Hispanic or Latino19,867 (17)19,276 (16)
Not available279,834 (68)83,680 (69)
Charlson ComorbIndex
075,106 (64)77,973 (64)
120,675 (18)21,193 (17)
211,451 (10)11,760 (10)
3+10,223 (9)10,505 (9)
Primary Insurance at Index
Medicare44,362 (38)46,479 (38)
Medicaid/state-subsidized5,546 (5)6,510 (5)
Commercial65,375 (56)66,368 (55)
Other2,172 (1)2,131 (2)
0 2000040000
60000
80000
100000
XrayMRCT
Index Test Modality
ControlIntervention
82%80%
18%20%449
(1%) 494(<1%) 0 20000
40000
60000
80000