Amit Kumar1, Linda Resnik2, Amol Karmarkar3, Janet Freburger4, Deepak Adhikari5, Vincent Mor2, Pedro Gozalo2. 1. College of Health and Human Services, Northern Arizona University, Flagstaff, Arizona. Electronic address: amit.kumar@nau.edu. 2. Department of Health Services, Policy & Practices, School of Public Health, Brown University, Providence, Rhode Island; Providence Veterans Affairs Medical Center, Providence, Rhode Island. 3. University of Texas Medical Branch, Galveston, Texas. 4. School of Health and Rehabilitation Science, University of Pittsburgh, Pennsylvania, United States. 5. Department of Health Services, Policy & Practices, School of Public Health, Brown University, Providence, Rhode Island.
Abstract
OBJECTIVE: To examine the association between hospital-based rehabilitation service use and all-cause 30-day hospital readmission among patients with ischemic stroke. DESIGN: Secondary analysis of inpatient Medicare claims data using Standard Analytical Files. SETTING: Acute hospitals across the United States. PARTICIPANTS: From nationwide data, Medicare fee-for-service beneficiaries (N=88,826) aged 66 years or older hospitalized for ischemic stroke between January to November 2010. INTERVENTIONS: Hospital-based rehabilitation services were quantified using Medicare inpatient claims revenue center codes for evaluation (occupational therapy [OT] and physical therapy [PT]), as well as the number of therapy units delivered. Therapy minutes for both OT and PT services were categorized into none, low, medium, and high. MAIN OUTCOME MEASURES: All-cause 30-day hospital readmission. A generalized linear mixed model was used to examine the effect of hospital-based rehabilitation services on 30-day hospital readmission, after adjusting for patient and hospital characteristics. RESULTS: In fully adjusted models, compared to patients who received no PT, we observed a monotonic inverse relationship between the amount of PT and hospital readmission. For low PT (30 minutes), the odds ratio (OR) was 0.90 (95% confidence interval [CI], 0.83-0.96). For medium PT (>30 to ≤75 minutes), the OR was 0.89 (95% CI, 0.82-0.95). For high PT (>75 minutes), the OR was 0.86 (95% CI, 0.80-0.93). CONCLUSION: Hospital-based PT services were associated with lower risk of 30-day hospital readmission in patients with ischemic stroke.
OBJECTIVE: To examine the association between hospital-based rehabilitation service use and all-cause 30-day hospital readmission among patients with ischemic stroke. DESIGN: Secondary analysis of inpatient Medicare claims data using Standard Analytical Files. SETTING: Acute hospitals across the United States. PARTICIPANTS: From nationwide data, Medicare fee-for-service beneficiaries (N=88,826) aged 66 years or older hospitalized for ischemic stroke between January to November 2010. INTERVENTIONS: Hospital-based rehabilitation services were quantified using Medicare inpatient claims revenue center codes for evaluation (occupational therapy [OT] and physical therapy [PT]), as well as the number of therapy units delivered. Therapy minutes for both OT and PT services were categorized into none, low, medium, and high. MAIN OUTCOME MEASURES: All-cause 30-day hospital readmission. A generalized linear mixed model was used to examine the effect of hospital-based rehabilitation services on 30-day hospital readmission, after adjusting for patient and hospital characteristics. RESULTS: In fully adjusted models, compared to patients who received no PT, we observed a monotonic inverse relationship between the amount of PT and hospital readmission. For low PT (30 minutes), the odds ratio (OR) was 0.90 (95% confidence interval [CI], 0.83-0.96). For medium PT (>30 to ≤75 minutes), the OR was 0.89 (95% CI, 0.82-0.95). For high PT (>75 minutes), the OR was 0.86 (95% CI, 0.80-0.93). CONCLUSION: Hospital-based PT services were associated with lower risk of 30-day hospital readmission in patients with ischemic stroke.
Authors: Amit Kumar; Amol M Karmarkar; James E Graham; Linda Resnik; Alai Tan; Anne Deutsch; Kenneth J Ottenbacher Journal: J Gerontol A Biol Sci Med Sci Date: 2016-08-04 Impact factor: 6.053
Authors: James E Graham; Janet Prvu Bettger; Addie Middleton; Heidi Spratt; Gulshan Sharma; Kenneth J Ottenbacher Journal: Health Serv Res Date: 2017-06-05 Impact factor: 3.402
Authors: Farhaan S Vahidy; John P Donnelly; Louise D McCullough; Jon E Tyson; Charles C Miller; Amelia K Boehme; Sean I Savitz; Karen C Albright Journal: Stroke Date: 2017-04-07 Impact factor: 7.914
Authors: Jordan B Strom; Daniel B Kramer; Yun Wang; Changyu Shen; Jason H Wasfy; Bruce E Landon; Elissa H Wilker; Robert W Yeh Journal: PLoS One Date: 2017-07-10 Impact factor: 3.240
Authors: Nicholas K Schiltz; Mary A Dolansky; David F Warner; Kurt C Stange; Stefan Gravenstein; Siran M Koroukian Journal: J Gen Intern Med Date: 2020-07-29 Impact factor: 5.128
Authors: Amit Kumar; Indrakshi Roy; Meghan Warren; Stefany D Shaibi; Maximilian Fabricant; Jason R Falvey; Amit Vashist; Amol M Karmarkar Journal: Phys Ther Date: 2022-04-01
Authors: Cristina A Shea; Razvan Turcu; Bonny S Wong; Michelle E Brassil; Chloe S Slocum; Richard Goldstein; Ross D Zafonte; Shirley L Shih; Jeffrey C Schneider Journal: J Am Med Dir Assoc Date: 2021-05-11 Impact factor: 4.669
Authors: Carmen E Capo-Lugo; Robert L Askew; Matthew Boebel; Christine DeLeo; Anne Deutsch; Allen Heinemann Journal: Medicine (Baltimore) Date: 2021-10-08 Impact factor: 1.889