Patient Demographics Categorization
Usage
PatientDemographics(
version = NA_character_,
age = integer(0),
sex = NA_character_,
dual_code = NA_character_,
orec_code = integer(0),
crec_code = integer(0),
new_enrollee = NA,
has_snp = NA,
non_aged = NA,
dis_orig = NA,
dis_curr = NA,
dual_full = NA,
dual_part = NA,
has_esrd = NA,
is_lti = NA,
low_income = NA,
esrd_months = integer(0),
category = NA_character_
)Arguments
- version
<chr>Version of categorization to use (V2,V4,V6)- age
<num>Beneficiary age- sex
<chr>Beneficiary sex (M/For1/2)- dual_code
<chr>Dual eligibility code (00-10)- orec_code
<chr>Original reason for entitlement (0-3)- crec_code
<chr>Current reason for entitlement (0-3)- new_enrollee
<lgl>Beneficiary is a New Enrollee- has_snp
<lgl>Beneficiary is in a Special Needs Plan- non_aged
<lgl>TRUEifage <= 64- dis_orig
<lgl>TRUEif originally disabled (OREC == "1") and not currently disabled- dis_curr
<lgl>TRUEif currently disabled (age < 65 & OREC != "0")- dual_full
<lgl>TRUEif FBD (FBD Model)- dual_part
<lgl>TRUEif PBD (PBD Model)- has_esrd
<lgl>TRUEif ESRD (ESRD Model)- is_lti
<lgl>TRUEif LTI (LTI Model)- low_income
<lgl>Beneficiary is Low Income (RxHCC only)- esrd_months
<int>Number of months since transplant (ESRD only)- category
<chr>Age-sex category code