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Patient Characteristics and Differences in Hospital Readmission Rates
Michael L Barnett1, John Hsu2, J Michael McWilliams1
1Department of Health Care Policy, Harvard Medical School, Boston, Massachusetts2Division of General Internal Medicine and Primary Care, Department of Medicine, Brigham and Women's Hospital, Boston, Massachusetts.
Medicare penalties for hospital readmissions may unfairly target facilities serving sicker patients. A study found that patient factors beyond Medicare’s current adjustments significantly explain readmission rate differences.
Area of Science:
- Health Services Research
- Health Policy
- Medical Economics
Background:
- Medicare penalizes hospitals with high readmission rates, adjusting only for basic patient demographics and diagnoses.
- This system may disproportionately affect hospitals serving patient populations with higher inherent readmission risks.
Purpose of the Study:
- To determine if a broader set of patient characteristics explains variations in hospital readmission rates.
- To assess the impact of these additional factors on Medicare's readmission penalty calculations.
Main Methods:
- Utilized Health and Retirement Study (HRS) survey data linked with Medicare claims for over 8,000 hospital admissions (2009-2012).
- Assessed 29 patient characteristics beyond standard Medicare adjustments for predicting 30-day all-cause readmissions.
- Compared patient characteristics between hospitals with high vs. low Medicare-reported readmission rates.
Main Results:
- 22 of 29 additional patient characteristics significantly predicted readmission risk.
- 17 of these characteristics were unevenly distributed between high and low readmission rate hospitals.
- Adjusting for these factors reduced the readmission rate difference between top and bottom quintile hospitals by 48% (from 4.41 to 2.29 percentage points).
Conclusions:
- Patient factors not currently accounted for by Medicare explain a substantial portion of readmission rate disparities.
- Hospitals with high readmission rates may be penalized based on the complex needs of the patients they serve, rather than solely on quality of care.
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