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External validation of a shortened screening tool using individual participant data meta-analysis: A case study of the Patient Health Questionnaire-Dep-4.

Publication ,  Journal Article
Harel, D; Levis, B; Sun, Y; Fischer, F; Ioannidis, JPA; Cuijpers, P; Patten, SB; Ziegelstein, RC; Markham, S; Benedetti, A; Thombs, BD ...
Published in: Methods
August 2022

Shortened versions of self-reported questionnaires may be used to reduce respondent burden. When shortened screening tools are used, it is desirable to maintain equivalent diagnostic accuracy to full-length forms. This manuscript presents a case study that illustrates how external data and individual participant data meta-analysis can be used to assess the equivalence in diagnostic accuracy between a shortened and full-length form. This case study compares the Patient Health Questionnaire-9 (PHQ-9) and a 4-item shortened version (PHQ-Dep-4) that was previously developed using optimal test assembly methods. Using a large database of 75 primary studies (34,698 participants, 3,392 major depression cases), we evaluated whether the PHQ-Dep-4 cutoff of ≥ 4 maintained equivalent diagnostic accuracy to a PHQ-9 cutoff of ≥ 10. Using this external validation dataset, a PHQ-Dep-4 cutoff of ≥ 4 maximized the sum of sensitivity and specificity, with a sensitivity of 0.88 (95% CI 0.81, 0.93), 0.68 (95% CI 0.56, 0.78), and 0.80 (95% CI 0.73, 0.85) for the semi-structured, fully structured, and MINI reference standard categories, respectively, and a specificity of 0.79 (95% CI 0.74, 0.83), 0.85 (95% CI 0.78, 0.90), and 0.83 (95% CI 0.80, 0.86) for the semi-structured, fully structured, and MINI reference standard categories, respectively. While equivalence with a PHQ-9 cutoff of ≥ 10 was not established, we found the sensitivity of the PHQ-Dep-4 to be non-inferior to that of the PHQ-9, and the specificity of the PHQ-Dep-4 to be marginally smaller than the PHQ-9.

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Published In

Methods

DOI

EISSN

1095-9130

Publication Date

August 2022

Volume

204

Start / End Page

300 / 311

Location

United States

Related Subject Headings

  • Tool Use Behavior
  • Sensitivity and Specificity
  • Reproducibility of Results
  • Patient Health Questionnaire
  • Mass Screening
  • Humans
  • Depressive Disorder, Major
  • 3101 Biochemistry and cell biology
  • 1103 Clinical Sciences
 

Citation

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Harel, D., Levis, B., Sun, Y., Fischer, F., Ioannidis, J. P. A., Cuijpers, P., … DEPRESsion Screening Data DEPRESSD PHQ Collaboration, . (2022). External validation of a shortened screening tool using individual participant data meta-analysis: A case study of the Patient Health Questionnaire-Dep-4. Methods, 204, 300–311. https://doi.org/10.1016/j.ymeth.2021.11.005
Harel, Daphna, Brooke Levis, Ying Sun, Felix Fischer, John P. A. Ioannidis, Pim Cuijpers, Scott B. Patten, et al. “External validation of a shortened screening tool using individual participant data meta-analysis: A case study of the Patient Health Questionnaire-Dep-4.Methods 204 (August 2022): 300–311. https://doi.org/10.1016/j.ymeth.2021.11.005.
Harel, Daphna, et al. “External validation of a shortened screening tool using individual participant data meta-analysis: A case study of the Patient Health Questionnaire-Dep-4.Methods, vol. 204, Aug. 2022, pp. 300–11. Pubmed, doi:10.1016/j.ymeth.2021.11.005.
Harel D, Levis B, Sun Y, Fischer F, Ioannidis JPA, Cuijpers P, Patten SB, Ziegelstein RC, Markham S, Benedetti A, Thombs BD, DEPRESsion Screening Data DEPRESSD PHQ Collaboration. External validation of a shortened screening tool using individual participant data meta-analysis: A case study of the Patient Health Questionnaire-Dep-4. Methods. 2022 Aug;204:300–311.
Journal cover image

Published In

Methods

DOI

EISSN

1095-9130

Publication Date

August 2022

Volume

204

Start / End Page

300 / 311

Location

United States

Related Subject Headings

  • Tool Use Behavior
  • Sensitivity and Specificity
  • Reproducibility of Results
  • Patient Health Questionnaire
  • Mass Screening
  • Humans
  • Depressive Disorder, Major
  • 3101 Biochemistry and cell biology
  • 1103 Clinical Sciences