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  • Simmonds, Kent P  (2)
  • 2020-2024  (2)
  • Medicine  (2)
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  • 2020-2024  (2)
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  • Medicine  (2)
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  • 1
    In: Stroke, Ovid Technologies (Wolters Kluwer Health), Vol. 54, No. Suppl_1 ( 2023-02)
    Abstract: Introduction: Observational studies indicate that stroke rehabilitation at Inpatient Rehabilitation Facilities (IRFs) is superior to Skilled Nursing Facilities (SNFs). Nationally, IRF vs. SNF use varies widely at the hospital level, but the impact on individual patients is unclear. Our objective was to quantify the effect of the admitting hospital on the probability of receiving IRF or SNF care for individual stroke patients. Methods: Medicare claims data (2011-2014) was used to generate a cohort of acute ischemic and hemorrhagic stroke patients who were discharged to IRFs or SNFs. We generated 2 multivariable effects logistic regression models. Model 1 predicted IRF admission (vs. SNF) using only patient-level factors as fixed effects, whereas Model 2 added a hospital random effect. The impact of the admitting hospital on an individual patients’ probability of IRF care was estimated by taking the difference in predicted probabilities (p^) between the 2 models. Hospital effects were categorized as moderate (10-19%) or large ( 〉 20%) based on the change in size of p^. The magnitude and direction of the random effect terms in Model 2 was used to categorize individual hospitals as being either neutral, SNF-, or IRF- favoring. Results: The cohort included 1,816 acute care hospitals which discharged 135,415 patients to IRFs (n=66,548) or SNFs (n= 68,867). Half of the hospitals were categorized as neutral (n=870, 47.9%) with the remaining being SNF- favoring (n=485, 26.7%) or IRF- favoring (n=461, 25.4%). For half of all patients, acute care hospital had a moderate influence on the type of rehabilitation that they received. For SNF and IRF-favoring hospitals, there were large (55% and 37% of patients) or moderate (30% and 42% of patients) hospital effects on discharge setting for the majority of patients. Conclusion: For the majority of stroke patients, which acute care hospital they happen to be admitted to meaningfully impacts the type of rehabilitation care they receive
    Type of Medium: Online Resource
    ISSN: 0039-2499 , 1524-4628
    RVK:
    Language: English
    Publisher: Ovid Technologies (Wolters Kluwer Health)
    Publication Date: 2023
    detail.hit.zdb_id: 80381-9
    detail.hit.zdb_id: 1467823-8
    Location Call Number Limitation Availability
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  • 2
    In: Stroke, Ovid Technologies (Wolters Kluwer Health), Vol. 54, No. Suppl_1 ( 2023-02)
    Abstract: Introduction: Hospitals strongly influence whether acute stroke patients receive stroke rehabilitation at Inpatient Rehabilitation Facilities (IRFs) or Skilled Nursing Facilities (SNFs), but little is known about drivers of variation. Our objective was to quantify the impact of hospital-level factors on discharge decisions. Methods: A cohort of acute stroke patients who were discharged to IRFs or SNFs was generated from Medicare data (2011-2014). A multi-level random effects logistic regression model that included patient- and hospital-level predictors (fixed effects) of discharge to an IRF (vs. SNF) was constructed. From this model, the amount of variation in discharge decisions due to hospitals was estimated from the intraclass correlation coefficient (ICC). Average effect sizes of hospital-level factors were estimated by adjusted odds ratios (aORs). Variations in effect sizes of factors between hospitals was estimated using 80% Interval Odds Ratios (80% IORs) which reflects a range of estimated effect sizes of factors across individual hospitals. Results: The cohort included 1,816 acute care hospitals which discharged 66,548 patients to IRFs and 68,867 patients to SNFs. Acute hospitals accounted for a quarter of the variation in IRF (vs. SNF) discharge (ICC=0.26). Important hospital-level factors associated with IRF discharge included IRF affiliation (aOR=2.53, 95% CI: 2.25-2.84), urban setting (aOR=1.71 95%CI:1.44-2.03) and Southern vs. Mid-west CMS region (aOR=3.12 95% CI: 2.55-3.83). All 80% IORs were wide which indicates substantial variation in the effects of these factors across hospitals which suggests that despite several significant aORs, much of the hospital-level variability remains poorly explained. Conclusion: Hospitals account for a quarter of the variation in use of IRFs (vs. SNFs). Several hospital-level factors were associated with IRF discharge but there was wide variation in the effects of these factors across hospitals.
    Type of Medium: Online Resource
    ISSN: 0039-2499 , 1524-4628
    RVK:
    Language: English
    Publisher: Ovid Technologies (Wolters Kluwer Health)
    Publication Date: 2023
    detail.hit.zdb_id: 80381-9
    detail.hit.zdb_id: 1467823-8
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
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