Derive formal care received variable

Usage

derive_cr1_frhc(df)

Arguments

df

A data frame containing cleaned data for a survey cycle. Must contain the following columns, each indicating whether the respondent received formal care along a particular dimension:

CR1_PRO_PR: Personal care
CR1_PRO_MD: Medical care
CR1_PRO_MG: Care management
CR1_PRO_AC: Home maintenance and outdoor work
CR1_PRO_TR: Transportation
CR1_PRO_ML: Meal preparation
CR1_PRO_NONE: No help received
CR1_PRO_OT: Other help
CR1_PRO_DK_NA: Don't know
CR1_PRO_REFUSED: Refused
CR1_PRO_PT: Physical therapy
CR1_PRO_TA: Training and adaptation assistance

Value

A data frame with the same number of rows as df plus a new column CR1_FRHC indicating whether the respondent received formal care.

Details

Intended for use with Follow-up 2 data, for which this variable was not derived by the data provider. Two variables that appear in the original algorithm (CR1_PRO_MC and CR1_PRO_MISSING) are excluded from the function because they are unavailable at Follow-up 2.

References

Derived Variables – Care Receiving 1/Formal Care (CR1)

Examples

df <- data.frame(
  CR1_PRO_PR = 0,
  CR1_PRO_MD = 0,
  CR1_PRO_MG = 0,
  CR1_PRO_AC = 0,
  CR1_PRO_TR = 0,
  CR1_PRO_ML = 1,
  CR1_PRO_NONE = 0,
  CR1_PRO_OT = 0,
  CR1_PRO_DK_NA = 0,
  CR1_PRO_REFUSED = 0,
  CR1_PRO_PT = 0,
  CR1_PRO_TA = 0
)
derive_cr1_frhc(df)
#>   CR1_PRO_PR CR1_PRO_MD CR1_PRO_MG CR1_PRO_AC CR1_PRO_TR CR1_PRO_ML
#> 1          0          0          0          0          0          1
#>   CR1_PRO_NONE CR1_PRO_OT CR1_PRO_DK_NA CR1_PRO_REFUSED CR1_PRO_PT CR1_PRO_TA
#> 1            0          0             0               0          0          0
#>   CR1_FRHC
#> 1        1