Create older people indicators dataframe for health and health-seeking behaviours from survey data collected using the standard RAM-OP questionnaire.

Usage

create_op_health(svy)

Arguments

svy: A dataframe collected using the standard RAM-OP questionnaire

Value

A tibble of older people indicators on health and health-seeking behaviour

Health and health-seeking indicators

H1: Chronic condition
H2: Takes drugs regularly for chronic condition
H31: No drugs available
H32: Too expensive / no money
H33: Too old to look for care
H34: Use traditional medicine
H35: Drugs don't help
H36: No-one to help me
H37: No need
H38: Other
H39: No reason given
H4: Recent disease episode
H5: Accessed care for recent disease episode
H61: No drugs available
H62: Too expensive / no money
H63: Too old to look for care
H64: Use traditional medicine
H65: Drugs don't help
H66: No-one to help me
H67: No need
H68: Other
H69: No reason given

Author

Mark Myatt

Examples

# Create health and health-seeking behaviour indicators dataset from RAM-OP
# survey data collected from Addis Ababa, Ethiopia
create_op_health(testSVY)
#> # A tibble: 192 × 25
#>      psu  sex1  sex2    H1    H2   H31   H32   H33   H34   H35   H36   H37   H38
#>    <int> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl>
#>  1   201     0     1     1     1    NA    NA    NA    NA    NA    NA    NA    NA
#>  2   201     1     0     1     1    NA    NA    NA    NA    NA    NA    NA    NA
#>  3   201     1     0     0    NA    NA    NA    NA    NA    NA    NA    NA    NA
#>  4   201     0     1     0    NA    NA    NA    NA    NA    NA    NA    NA    NA
#>  5   201     0     1     0    NA    NA    NA    NA    NA    NA    NA    NA    NA
#>  6   201     1     0     0    NA    NA    NA    NA    NA    NA    NA    NA    NA
#>  7   201     1     0     1     0     0     0     0     1     0     0     0     0
#>  8   201     0     1     1     1    NA    NA    NA    NA    NA    NA    NA    NA
#>  9   201     1     0     0    NA    NA    NA    NA    NA    NA    NA    NA    NA
#> 10   201     0     1     0    NA    NA    NA    NA    NA    NA    NA    NA    NA
#> # ℹ 182 more rows
#> # ℹ 12 more variables: H39 <dbl>, H4 <dbl>, H5 <dbl>, H61 <dbl>, H62 <dbl>,
#> #   H63 <dbl>, H64 <dbl>, H65 <dbl>, H66 <dbl>, H67 <dbl>, H68 <dbl>, H69 <dbl>