Skip to contents

Compute "Prodromal Psychosis Scale [Youth] (Severity Score)"

Source: R/scores_mh.R
compute_mh_y_pps__severity_score.Rd

Computes the summary score mh_y_pps__severity_score Prodromal Psychosis Scale [Youth] (Severity Score)

  • Summarized variables:

    • mh_y_pps__severity_001

    • mh_y_pps__severity_002

    • mh_y_pps__severity_003

    • mh_y_pps__severity_004

    • mh_y_pps__severity_005

    • mh_y_pps__severity_006

    • mh_y_pps__severity_007

    • mh_y_pps__severity_008

    • mh_y_pps__severity_009

    • mh_y_pps__severity_010

    • mh_y_pps__severity_011

    • mh_y_pps__severity_012

    • mh_y_pps__severity_013

    • mh_y_pps__severity_014

    • mh_y_pps__severity_015

    • mh_y_pps__severity_016

    • mh_y_pps__severity_017

    • mh_y_pps__severity_018

    • mh_y_pps__severity_019

    • mh_y_pps__severity_020

    • mh_y_pps__severity_021

  • Excluded values: none

  • Validation criterion: none of 21 items missing

Usage

compute_mh_y_pps__severity_score(
  data,
  name = "mh_y_pps__severity_score",
  max_na = 0,
  combine = TRUE
)

Arguments

data

tbl. Data frame containing the columns to be summarized.

name

character. Name of the summary score column.

max_na

numeric, positive whole number. Number of missing items allowed. NULL means no limit.

combine

logical. If TRUE (default), the summary score is is appended as a new column to the input data frame. If FALSE, the summary score is returned as a separate one-column data frame.

Value

tbl. see combine.

Details

The severity score is calculated by summing the severity scores for each question and adding the number of mh_y_pps__bother__yes_count to the total.

However, if the mh_y_pps__severity_nm score is greater than max_na, the severity score is set to NA.

There is also a sanity check for the gating question of PPS base/bother score. If the paired base/bother question is 0 or NA and the severity score is not missing, the paired severity score is set to NA before computing the score.

See also

compute_mh_y_pps__bother__yes_count()

Examples

if (FALSE) { # \dontrun{
compute_mh_y_pps__severity_score(data) |>
  select(
    any_of(c("mh_y_pps__severity_score", vars_mh_y_pps__severity))
  ) |>
  View()
} # }