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AHRQ Research Studies
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Research Studies is a compilation of published research articles funded by AHRQ or authored by AHRQ researchers.
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1 to 3 of 3 Research Studies DisplayedDeyo RA, Bryan M, Comstock BA
Trajectories of symptoms and function in older adults with low back disorders.
The researchers sought to determine whether there are distinct trajectories of back pain and function among older adults and to identify characteristics that distinguish among patients with substantially different prognoses. They found that, although most patients remained relatively stable over a year, latent class analysis identified small groups with major improvement in pain, function, or both.
AHRQ-funded; HS019222.
Citation: Deyo RA, Bryan M, Comstock BA .
Trajectories of symptoms and function in older adults with low back disorders.
Spine 2015 Sep 1;40(17):1352-62. doi: 10.1097/brs.0000000000000975.
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Keywords: Data, Elderly, Back Health and Pain, Chronic Conditions, Outcomes
Neff JM, Clifton H, Popalisky J
Stratification of children by medical complexity.
The investigators stratified children using the software, Clinical Risk Groups (CRGs), in a tertiary children's hospital and a state's Medicaid claims data into 3 condition groups: complex chronic disease; noncomplex chronic disease, and nonchronic disease. They concluded that CRGs can be used to stratify children receiving care at a tertiary care hospital according to complexity in both hospital and Medicaid administrative data.
AHRQ-funded; HS020506.
Citation: Neff JM, Clifton H, Popalisky J .
Stratification of children by medical complexity.
Acad Pediatr 2015 Mar-Apr;15(2):191-6. doi: 10.1016/j.acap.2014.10.007.
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Keywords: Children/Adolescents, Chronic Conditions, Data, Electronic Health Records (EHRs), Children/Adolescents
Sumner W, Stwalley DL, Asaro PV
Adding flexible temporal constraints to identify chronic comorbid conditions in ambulatory claims data.
The researchers particularly wanted to increase the temporal flexibility of comorbidity definitions in response to common documentation patterns. They report the development and testing of a chronic disease list with temporal criteria for analyzing outpatient claims data. They concluded that temporal constraints applied to ambulatory claims may improve comorbid condition categorization.
AHRQ-funded; HS019455.
Citation: Sumner W, Stwalley DL, Asaro PV .
Adding flexible temporal constraints to identify chronic comorbid conditions in ambulatory claims data.
AMIA Annu Symp Proc 2014 Nov 14;2014:1088-97..
Keywords: Chronic Conditions, Data, Health Insurance