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Research Studies is a compilation of published research articles funded by AHRQ or authored by AHRQ researchers.
Results
1 to 2 of 2 Research Studies DisplayedBecker NV, Scott JW, Moniz MH
Association of chronic disease with patient financial outcomes among commercially insured adults.
This study examined the association between chronic disease and adverse financial outcomes. The authors used claims data for patients enrolled in a preferred provider organization in Michigan. Patients diagnosed with thirteen common chronic conditions (cancer, congestive heart failure, chronic kidney disease, dementia, depression and anxiety, diabetes, hypertension, ischemic heart disease, liver disease, chronic obstructive pulmonary disease and asthma, serious mental illness, stroke, and substance use disorders) were included in the cohort of 2,854,481 adults aged 21 and over. The cohort included 61.4% with no chronic conditions, 17.7% with 1 chronic condition, 14.8% with 2 to 3 chronic conditions, 5.4% with 4 to 6 chronic conditions, and 0.7% with 7 to 13 chronic conditions. Among the cohort, 9.6% had medical debt in collections, 8.3% had nonmedical debt in collections, 16.3% had delinquent debt, 19.3% had a low credit score, and 0.6% had recent bankruptcy. For individuals with 0 vs 7 to 13 chronic conditions, the predicted probabilities of having any medical debt in collections (7.6% vs 32%), any nonmedical debt in collections (7.2% vs 24%), any delinquent debt (14% vs 43%), a low credit score (17% vs 47%) or recent bankruptcy (0.4% vs 1.7%) were all considerably higher for individuals with more chronic conditions and increased with each added chronic condition. Among individuals with medical debt in collections, the estimated amount increased with the number of chronic conditions ($784 for individuals with 0 conditions vs $1252 for individuals with 7-13 conditions).
AHRQ-funded; HS028672.
Citation: Becker NV, Scott JW, Moniz MH .
Association of chronic disease with patient financial outcomes among commercially insured adults.
JAMA Intern Med 2022 Oct;182(10):1044-51. doi: 10.1001/jamainternmed.2022.3687..
Keywords: Chronic Conditions, Healthcare Costs, Cancer, Kidney Disease and Health
Singal AG, Chen Y, Sridhar S
Novel application of predictive modeling: a tailored approach to promoting hcc surveillance in patients with cirrhosis.
Researchers conducted a secondary analysis of a randomized clinical trial evaluating a mailed outreach strategy to promote hepatocellular carcinoma (HCC) surveillance among cirrhosis patients at a safety-net health system. They found that predictive models can help stratify patients' likelihood to respond to surveillance outreach invitations, facilitating tailored strategies to maximize effectiveness and cost-effectiveness of HCC surveillance population health programs.
AHRQ-funded; HS022418.
Citation: Singal AG, Chen Y, Sridhar S .
Novel application of predictive modeling: a tailored approach to promoting hcc surveillance in patients with cirrhosis.
Clin Gastroenterol Hepatol 2022 Aug;20(8):1795-802.e2. doi: 10.1016/j.cgh.2021.02.038..
Keywords: Cancer, Chronic Conditions, Screening