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The Impact of Disability and Social Determinants of Health on Condition-Specific Readmissions beyond Medicare Risk Adjustments: A Cohort Study
- Source :
- Journal of general internal medicine. 32(1)
- Publication Year :
- 2016
-
Abstract
- Readmission rates after pneumonia, heart failure, and acute myocardial infarction hospitalizations are risk-adjusted for age, gender, and medical comorbidities and used to penalize hospitals. To assess the impact of disability and social determinants of health on condition-specific readmissions beyond current risk adjustment. Retrospective cohort study of Medicare patients using 1) linked Health and Retirement Study-Medicare claims data (HRS-CMS) and 2) Healthcare Cost and Utilization Project State Inpatient Databases (Florida, Washington) linked with ZIP Code-level measures from the Census American Community Survey (ACS-HCUP). Multilevel logistic regression models assessed the impact of disability and selected social determinants of health on readmission beyond current risk adjustment. Outcomes measured were readmissions ≤30 days after hospitalizations for pneumonia, heart failure, or acute myocardial infarction. HRS-CMS models included disability measures (activities of daily living [ADL] limitations, cognitive impairment, nursing home residence, home healthcare use) and social determinants of health (spouse, children, wealth, Medicaid, race). ACS-HCUP model measures were ZIP Code-percentage of residents ≥65 years of age with ADL difficulty, spouse, income, Medicaid, and patient-level and hospital-level race. For pneumonia, ≥3 ADL difficulties (OR 1.61, CI 1.079–2.391) and prior home healthcare needs (OR 1.68, CI 1.204–2.355) increased readmission in HRS-CMS models (N = 1631); ADL difficulties (OR 1.20, CI 1.063–1.352) and ‘other’ race (OR 1.14, CI 1.001–1.301) increased readmission in ACS-HCUP models (N = 27,297). For heart failure, children (OR 0.66, CI 0.437–0.984) and wealth (OR 0.53, CI 0.349–0.787) lowered readmission in HRS-CMS models (N = 2068), while black (OR 1.17, CI 1.056–1.292) and ‘other’ race (OR 1.14, CI 1.036-1.260) increased readmission in ACS-HCUP models (N = 37,612). For acute myocardial infarction, nursing home status (OR 4.04, CI 1.212–13.440) increased readmission in HRS-CMS models (N = 833); ‘other’ patient-level race (OR 1.18, CI 1.012–1.385) and hospital-level race (OR 1.06, CI 1.001–1.125) increased readmission in ACS-HCUP models (N = 17,496). Disability and social determinants of health influence readmission risk when added to the current Medicare risk adjustment models, but the effect varies by condition.
- Subjects :
- Gerontology
Male
medicine.medical_specialty
Activities of daily living
Social Determinants of Health
Myocardial Infarction
Comorbidity
030204 cardiovascular system & hematology
Patient Readmission
03 medical and health sciences
Disability Evaluation
0302 clinical medicine
Health care
Activities of Daily Living
Internal Medicine
Medicine
Humans
Cognitive Dysfunction
030212 general & internal medicine
Social determinants of health
Healthcare Cost and Utilization Project
health care economics and organizations
Retrospective Studies
Heart Failure
business.industry
Capsule Commentary
Retrospective cohort study
Pneumonia
Logistic Models
Spouse
Physical therapy
Female
Risk Adjustment
business
Medicaid
Cohort study
Subjects
Details
- ISSN :
- 15251497
- Volume :
- 32
- Issue :
- 1
- Database :
- OpenAIRE
- Journal :
- Journal of general internal medicine
- Accession number :
- edsair.doi.dedup.....a5d604413f045b6dac8c582193ccd810