Researchers are exploring how certain personal factors, such as symptoms, health history, and lifestyle, may help predict which treatments will work best for someone.
The purpose of this study is to evaluate how well a study algorithm chooses the best treatments for a patient when considering their unique pain characteristics.
Inclusion Criteria:
Exclusion Criteria:
Red flags suggesting the presence of an identifiable cause of low back pain, including fever, weight loss, initiation of pain following major trauma, immunosuppression, IV drug use, recent bacterial infection, severe or persistent sensory or motor involvement of bowel, bladder, or lower extremity.
Unable to read, write of speak fluent English
Visual or hearing difficulties that would preclude participation
Active uncontrolled drug/alcohol addiction
Individuals receiving new disability or compensation or involved in litigation in the past 12 months.
Pregnancy or breastfeeding
Individuals on high doses of opioids (over 100 Oral Morphine Equivalents [OME] per day).
Upcoming scheduled back surgery, back surgery within the last year, or more than one back surgery in the past.
History of discitis osteomyelitis (spine infection) or spine tumor
History of an autoimmune disorder such as ankylosing spondylitis, rheumatoid arthritis, polymyalgia rheumatica, psoriatic arthritis, or lupus
History of cauda equina syndrome or spinal radiculopathy
Diagnosis of schizophrenia or schizoaffective diagnosis
Diagnosis of any vertebral fracture in the last 6 months
Osteoporosis requiring treatment (vitamin D and calcium supplements are acceptable)
Cancer
Life expectancy is less than 2 years
Current/planned (in the next 2 years) enrollment in another study of a device or investigational drug that would interfere with this study, this may include participation in a blinded trial.
Any other diseases or conditions that would make a patient unsuitable for study participation as determined by the site principal investigators. This would include but not be limited to severe psychiatric disorders, active suicidal ideations or recent suicide attempts
eledward@med.umich.edu734-763-5226
In ADAPT, participants are blinded to whether they are assigned to the Restricted Random Assignment (RRA) group or the Phenotype-Informed Assignment (PIA) group. Participants are only informed of their treatment assignment not assignment type.
Internally, the study team refers to the two study groups as "Maize" and "Blue" to maintain blinding.
In the consent form, the study team does not explicitly describe the two assignment groups. Instead, the study team explains that an algorithm will be used to help determine treatment assignment.
skazi@med.umich.edu734-763-5226
The Back Pain Consortium Research Program Study
Person-Centred AI Support in Interdisciplinary Rehabilitation for Chronic Pain
Optimize Low Back Pain
Computerized Decision Support Tool for Pain Management in Primary Care
Integrative Mindfulness-Based Predictive Approach for Chronic Low Back Pain Treatment
Sequential and Comparative Evaluation of Pain Treatment Effectiveness Response
Optimizing Chronic Pain Management Through Patient Engagement With Quality of Life Measures
The Pain App Study: A Novel Shared Decision Making Tool for People With Chronic Pain