Derived needs help with tasks

Source: R/adl.R

This derived variable (ADL_der) is based on the CCHS derived variable ADLF6R which flags respondents who need help with tasks based on their response to the various activities of daily living (ADL) variables.

adl_fun(ADL_01, ADL_02, ADL_03, ADL_04, ADL_05)

Arguments

ADL_01

Needs help preparing meals
ADL_02

Needs help getting to appointments/errands
ADL_03

Needs help doing housework
ADL_04

Needs help doing personal care
ADL_05

Needs help moving inside house

Value

A derived variable (ADL_der) with 2 categories:

  1. - Needs help with tasks

  2. - Does not need help with tasks

Details

The CCHS derived variable ADLF6R uses different ADL variables across the various CCHS survey cycles. This newly derived variable (ADL_der) uses ADL variables that are consistent across CCHS cycles.

In the 2001 CCHS survey cycle, the ADLF6R variable examines the following ADL variables:

  1. ADL_01 - Needs help preparing meals

  2. ADL_02 - Needs help getting to appointments/errands

  3. ADL_03 - Needs help doing housework

  4. ADL_04 - Needs help doing personal care

  5. ADL_05 - Needs help moving inside house

  6. ADL_07 - Needs help doing heavy household chores

In the 2003-2005 CCHS survey cycles, the ADLF6R variable examines the following ADL variables:

  1. ADL_01 - Needs help preparing meals

  2. ADL_02 - Needs help getting to appointments/errands

  3. ADL_03 - Needs help doing housework

  4. ADL_04 - Needs help doing personal care

  5. ADL_05 - Needs help moving inside house

  6. ADL_06 - Needs help doing finances

  7. ADL_07 - Needs help doing heavy household chores

In the 2007-2014 CCHS survey cycles, the ADLF6R variable examines the following ADL variables:

  1. ADL_01 - Needs help preparing meals

  2. ADL_02 - Needs help getting to appointments/errands

  3. ADL_03 - Needs help doing housework

  4. ADL_04 - Needs help doing personal care

  5. ADL_05 - Needs help moving inside house

  6. ADL_06 - Needs help doing finances

This newly derived variable (ADL_der) uses ADL_01 to ADL_05 which are consistent across all survey cycles. For any single CCHS survey year, it is appropriate to use ADLF6R. ADL_der is recommended when using multiple survey cycles.

Examples

# Using adl_fun() to create ADL_der values across CCHS cycles
# adl_fun() is specified in variable_details.csv along with the
# CCHS variables and cycles included.

# To transform ADL_der, use rec_with_table() for each CCHS cycle
# and specify ADL_der, along with the various ADL variables.
# Then by using merge_rec_data() you can combine ADL_der across cycles.

library(cchsflow)
adl2001 <- rec_with_table(
  cchs2001_p, c(
    "ADL_01", "ADL_02", "ADL_03", "ADL_04", "ADL_05", "ADL_der"
  )
)

#> No variable_details detected.
#>               Loading cchsflow variable_details
#> Using the passed data variable name as database_name
#> NOTE for ADL_02: In the 2001 CCHS, respondents were asked, "Because of any condition or health problem, do you need the help of another person in shopping for groceries or other necessities?"

head(adl2001)

#>   ADL_01 ADL_02 ADL_03 ADL_04 ADL_05 ADL_der
#> 1      2      2      2      2      2       2
#> 2      2      1      1      2      2       1
#> 3      2      2      2      2      2       2
#> 4      2      2      2      2      2       2
#> 5      2      2      2      2      2       2
#> 6      2      1      1      2      2       1

adl2009_2010 <- rec_with_table(
  cchs2009_2010_p, c(
    "ADL_01", "ADL_02", "ADL_03", "ADL_04", "ADL_05", "ADL_der"
  )
)

#> No variable_details detected.
#>               Loading cchsflow variable_details
#> Using the passed data variable name as database_name
#> NOTE for ADL_02: In the 2001 CCHS, respondents were asked, "Because of any condition or health problem, do you need the help of another person in shopping for groceries or other necessities?"

tail(adl2009_2010)

#>     ADL_01 ADL_02 ADL_03 ADL_04 ADL_05 ADL_der
#> 195      2      2      2      2      2       2
#> 196      2      2      2      2      2       2
#> 197      2      2      2      2      2       2
#> 198      2      2      2      2      2       2
#> 199      2      2      2      2      2       2
#> 200      2      2      2      2      2       2

combined_adl <- merge_rec_data(adl2001, adl2009_2010)

head(combined_adl)

#>   ADL_01 ADL_02 ADL_03 ADL_04 ADL_05 ADL_der
#> 1      2      2      2      2      2       2
#> 2      2      1      1      2      2       1
#> 3      2      2      2      2      2       2
#> 4      2      2      2      2      2       2
#> 5      2      2      2      2      2       2
#> 6      2      1      1      2      2       1

tail(combined_adl)

#>     ADL_01 ADL_02 ADL_03 ADL_04 ADL_05 ADL_der
#> 395      2      2      2      2      2       2
#> 396      2      2      2      2      2       2
#> 397      2      2      2      2      2       2
#> 398      2      2      2      2      2       2
#> 399      2      2      2      2      2       2
#> 400      2      2      2      2      2       2

# Using adl_fun() to generate to ADL_der based on user inputted values.
# 
# Let's say you do not need help preparing meals, you need help getting to
# appointments or errands, you need help doing housework, do not need help
# doing personal care, and do not need help moving inside the house. Using
# adl_fun() we can check if you need help doing tasks

ADL_der <- adl_fun(2, 1, 1, 2, 2)

print(ADL_der)

#> [1] 1