Quality Payment Program
Examples
quality_metrics(year = 2018:2025)
#> # A tibble: 32 × 4
#> year category metric mean
#> <int> <fct> <fct> <dbl>
#> 1 2018 Group Dual Eligibility Ratio 0.230
#> 2 2019 Group Dual Eligibility Ratio 0.216
#> 3 2020 Group Dual Eligibility Ratio 0.210
#> 4 2021 Group Dual Eligibility Ratio 0.499
#> 5 2022 Group Dual Eligibility Ratio 0.499
#> 6 2023 Group Dual Eligibility Ratio 0.499
#> 7 2024 Group Dual Eligibility Ratio 0.499
#> 8 2025 Group Dual Eligibility Ratio 0.499
#> 9 2018 Individual Dual Eligibility Ratio 0.288
#> 10 2019 Individual Dual Eligibility Ratio 0.269
#> # ℹ 22 more rows
quality_eligibility(
year = 2018:2024,
npi = c(1144544834, 1043477615, 1932365699, 1225701881))
#> # A tibble: 28 × 16
#> year npi entity last_name first_name middle_name is_new date_enrolled
#> <int> <chr> <fct> <chr> <chr> <chr> <lgl> <date>
#> 1 2024 1043477615 I HUSSAIN SARAH K FALSE 2014-01-27
#> 2 2023 1043477615 I HUSSAIN SARAH K FALSE 2014-01-27
#> 3 2022 1043477615 I HUSSAIN SARAH K FALSE 2014-01-27
#> 4 2021 1043477615 I HUSSAIN SARAH K FALSE 2014-01-27
#> 5 2020 1043477615 I HUSSAIN SARAH K FALSE 2014-01-27
#> 6 2019 1043477615 I HUSSAIN SARAH K FALSE 2014-01-27
#> 7 2018 1043477615 I HUSSAIN SARAH K FALSE 2014-01-27
#> 8 2024 1144544834 I MANLEY EMILY T FALSE 2011-09-13
#> 9 2023 1144544834 I MANLEY EMILY T FALSE 2011-09-13
#> 10 2022 1144544834 I MANLEY EMILY T FALSE 2011-09-13
#> # ℹ 18 more rows
#> # ℹ 8 more variables: is_maqi <lgl>, yearsInMedicare <int>,
#> # pecosEnrollmentDate <int>, specialty <glue>, ORGS <list>, qpStatus <lgl>,
#> # amsMipsEligibleClinician <lgl>, qpScoreType <lgl>