e_calc_phq2_categories: PHQ-2 category labels using Table 4 from Kroenke K, Spitzer...

In erikerhardt/erikmisc: Erik Erhardt's miscellaneous functions for solving complex data analysis workflows

PHQ-2 category labels using Table 4 from Kroenke K, Spitzer RL, Psychiatric Annals 2002;32:509-521

Description

PHQ-2 Scores and Proposed Treatment Actions. https://www.pcpcc.org/sites/default/files/resources/instructions.pdf

Usage

e_calc_phq2_categories(
  phq2,
  phq2_breaks = c(-Inf, 3, Inf),
  phq2_labels = c("None-minimal", "Depressed")
)

Arguments

phq2	PHQ-2 scores (0 - 6)
phq2_breaks	Breaks defining labeled ranges, intervals are closed on the left (typically, 3 or greater indicates major depressive disorder is likely)
phq2_labels	Labels for values between break values including lower bound

Details

The PHQ-2 inquires about the frequency of depressed mood and anhedonia over the past two weeks. The PHQ-2 includes the first two items of the PHQ-9. The purpose of the PHQ-2 is to screen for depression in a "first-step" approach. Patients who screen positive should be further evaluated with the PHQ-9 to determine whether they meet criteria for a depressive disorder. PHQ-2 score obtained by adding score for each question (total points)

Interpretation: A PHQ-2 score ranges from 0-6. The authors identified a score of 3 as the optimal cutpoint when using the PHQ-2 to screen for depression. If the score is 3 or greater, major depressive disorder is likely. Patients who screen positive should be further evaluated with the PHQ-9, other diagnostic instruments, or direct interview to determine whether they meet criteria for a depressive disorder.

Value

phq2_cat, categorical levels of PHQ-2

Examples

e_calc_phq2_categories(c(0, 2, 3, 5))

dplyr::tibble(
  phq2 = seq(0, 6, by = 1)
, phq2_cat = phq2 |> e_calc_phq2_categories()
) |>
print(n = Inf)

erikerhardt/erikmisc documentation built on April 17, 2025, 10:48 a.m.