BACKGROUND: Payers are penalizing hospitals for high readmission rates. It is unknown whether major changes in population insurance coverage can affect readmission rates, despite the Affordable Care Act's coverage expansions coming into effect this year. OBJECTIVE: To evaluate the impact of a large-scale insurance expansion on hospital readmissions, using Massachusetts' 2006 health reform as a natural experiment. DESIGN: Difference-in-difference time-series design. SETTING: All Massachusetts acute-care hospitals. PATIENTS: Inpatient visits from 2004 to 2010. MEASUREMENTS: Primary outcome was the hospital 30-day readmission rate. Readmissions to any Massachusetts hospital were tracked. RESULTS: Decreases in uninsurance rates during and after reform were largely limited to the hospital quartile with the highest prereform uninsurance rates (from 14% uninsured at the start of the reform to 2.9% by the end of the study period). The other hospitals collectively experienced a smaller decline in their uninsured admissions (5.9% at the start of reform to 2.5% by the end of the study period). According to difference-in-difference regression analysis, the highest uninsured hospital quartile experienced a modest increase in their unadjusted readmission rate of 0.6 percentage points (95% confidence interval: 0.1%-1.1%) during the reform period as compared to the other hospital quartiles (P = 0.01). This represents a relative increase of 4.5% in the readmission rate. Risk-adjusted readmission rates showed no corresponding change. CONCLUSIONS: The Affordable Care Act's insurance expansion may be associated with an increase in unadjusted readmission rates among hospitals that cared for disproportionate numbers of uninsured patients. Risk-adjustment appears to take this effect into account.
BACKGROUND: Payers are penalizing hospitals for high readmission rates. It is unknown whether major changes in population insurance coverage can affect readmission rates, despite the Affordable Care Act's coverage expansions coming into effect this year. OBJECTIVE: To evaluate the impact of a large-scale insurance expansion on hospital readmissions, using Massachusetts' 2006 health reform as a natural experiment. DESIGN: Difference-in-difference time-series design. SETTING: All Massachusetts acute-care hospitals. PATIENTS: Inpatient visits from 2004 to 2010. MEASUREMENTS: Primary outcome was the hospital 30-day readmission rate. Readmissions to any Massachusetts hospital were tracked. RESULTS: Decreases in uninsurance rates during and after reform were largely limited to the hospital quartile with the highest prereform uninsurance rates (from 14% uninsured at the start of the reform to 2.9% by the end of the study period). The other hospitals collectively experienced a smaller decline in their uninsured admissions (5.9% at the start of reform to 2.5% by the end of the study period). According to difference-in-difference regression analysis, the highest uninsured hospital quartile experienced a modest increase in their unadjusted readmission rate of 0.6 percentage points (95% confidence interval: 0.1%-1.1%) during the reform period as compared to the other hospital quartiles (P = 0.01). This represents a relative increase of 4.5% in the readmission rate. Risk-adjusted readmission rates showed no corresponding change. CONCLUSIONS: The Affordable Care Act's insurance expansion may be associated with an increase in unadjusted readmission rates among hospitals that cared for disproportionate numbers of uninsured patients. Risk-adjustment appears to take this effect into account.
Authors: Hrishikesh Chakraborty; Robert Neal Axon; Jordan Brittingham; Genevieve Ray Lyons; Laura Cole; Christine B Turley Journal: Health Serv Res Date: 2016-09-28 Impact factor: 3.402
Authors: Khadijah Breathett; Larry A Allen; Laura Helmkamp; Kathryn Colborn; Stacie L Daugherty; Prateeti Khazanie; Richard Lindrooth; Pamela N Peterson Journal: JACC Heart Fail Date: 2017-01-18 Impact factor: 12.035
Authors: James A G Crispo; Dylan P Thibault; Yannick Fortin; Daniel Krewski; Allison W Willis Journal: BMC Neurol Date: 2018-11-19 Impact factor: 2.474
Authors: Wenshuo Liu; Cooper Stansbury; Karandeep Singh; Andrew M Ryan; Devraj Sukul; Elham Mahmoudi; Akbar Waljee; Ji Zhu; Brahmajee K Nallamothu Journal: PLoS One Date: 2020-04-15 Impact factor: 3.240