Extract risk model coefficients from a Hospital-Specific Report (HSR)

Parses out the regression coefficients from the logistic regression model used by CMS to estimate discharge-level readmission risk, including the hospital-level and hospital average intercept terms.

Note: CMS changed the format of Hospital-Specific Reports (HSRs) for FY2026 (see here). The current HSR functions support formats through FY2025.

Usage

hsr_coefficients(file, cohort)

Arguments

file: File path to a report
cohort: Cohort to extract the coefficients for. One of c("AMI", "COPD", "HF", "PN", "CABG", "HK")

Value

A tibble::tibble() containing the columns:

Factor: The model term name (as listed in the file)
Value: The model coefficient value (on the linear predictor scale)

Examples

# Access a report
my_report <- hsr_mock_reports("FY2025_HRRP_MockHSR.xlsx")

# Show coefficients for heart failure model
hsr_coefficients(my_report, "HF")
#> # A tibble: 40 × 2
#>    Factor                                                                  Value
#>    <chr>                                                                   <dbl>
#>  1 Years Over 65 (continuous)                                           -0.00589
#>  2 Male                                                                 -0.0359 
#>  3 History of Coronary Artery Bypass Graft (CABG) Surgery                0.0199 
#>  4 History of COVID-19                                                  -0.00239
#>  5 Metastatic Cancer and Acute Leukemia                                  0.149  
#>  6 Cancer                                                                0.0126 
#>  7 Diabetes Mellitus (DM) or DM Complications                            0.0968 
#>  8 Protein-Calorie Malnutrition                                          0.0856 
#>  9 Other Significant Endocrine and Metabolic Disorders; Disorders of F…  0.163  
#> 10 Liver or Biliary Disease                                              0.0865 
#> # ℹ 30 more rows