Literature DB >> 27371907

Identifying depression with the PHQ-2: A diagnostic meta-analysis.

Laura Manea1, Simon Gilbody1, Catherine Hewitt2, Alice North2, Faye Plummer2, Rachel Richardson2, Brett D Thombs3, Bethany Williams2, Dean McMillan4.   

Abstract

BACKGROUND: There is interest in the use of very brief instruments to identify depression because of the advantages they offer in busy clinical settings. The PHQ-2, consisting of two questions relating to core symptoms of depression (low mood and loss of interest or pleasure), is one such instrument.
METHOD: A systematic review was conducted to identify studies that had assessed the diagnostic performance of the PHQ-2 to detect major depression. Embase, MEDLINE, PsychINFO and grey literature databases were searched. Reference lists of included studies and previous relevant reviews were also examined. Studies were included that used the standard scoring system of the PHQ-2, assessed its performance against a gold-standard diagnostic interview and reported data on its performance at the recommended (≥3) or an alternative cut-off point (≥2). After assessing heterogeneity, where appropriate, data from studies were combined using bivariate diagnostic meta-analysis to derive sensitivity, specificity, likelihood ratios and diagnostic odds ratios.
RESULTS: 21 studies met inclusion criteria totalling N=11,175 people out of which 1529 had major depressive disorder according to a gold standard. 19 of the 21 included studies reported data for a cut-off point of ≥3. Pooled sensitivity was 0.76 (95% CI =0.68-0.82), pooled specificity was 0.87 (95% CI =0.82-0.90). However there was substantial heterogeneity at this cut-off (I(2)=81.8%). 17 studies reported data on the performance of the measure at cut-off point ≥2. Heterogeneity was I(2)=43.2% pooled sensitivity at this cut-off point was 0.91 (95% CI =0.85-0.94), and pooled specificity was 0.70 (95% CI =0.64-0.76).
CONCLUSION: The generally lower sensitivity of the PHQ-2 at cut-off ≥3 than the original validation study (0.83) suggests that ≥2 may be preferable if clinicians want to ensure that few cases of depression are missed. However, in situations in which the prevalence of depression is low, this may result in an unacceptably high false-positive rate because of the associated modest specificity. These results, however, need to be interpreted with caution given the possibility of selectively reported cut-offs.
Copyright © 2016. Published by Elsevier B.V.

Entities:  

Keywords:  Diagnostic accuracy; Diagnostic meta-analysis; Major depression; Phq-2; Screening; Ultra-brief screening instruments

Mesh:

Year:  2016        PMID: 27371907     DOI: 10.1016/j.jad.2016.06.003

Source DB:  PubMed          Journal:  J Affect Disord        ISSN: 0165-0327            Impact factor:   4.839


  37 in total

1.  Association between mental health and duty hours of postgraduate residents in Japan: a nationwide cross-sectional study.

Authors:  Kazuya Nagasaki; Yuji Nishizaki; Tomohiro Shinozaki; Taro Shimizu; Yu Yamamoto; Kiyoshi Shikino; Sho Fukui; Sho Nishiguchi; Masaru Kurihara; Koshi Kataoka; Yasuharu Tokuda; Hiroyuki Kobayashi
Journal:  Sci Rep       Date:  2022-06-23       Impact factor: 4.996

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Authors:  Tolu O Oyesanya; Callan Loflin; HyunBin You; Melissa Kandel; Karen Johnson; Timothy Strauman; Qing Yang; Jodi Hawes; Lindsey Byom; Rosa Gonzalez-Guarda; Courtney Van Houtven; Suresh Agarwal; Janet Prvu Bettger
Journal:  Curr Med Res Opin       Date:  2022-03-02       Impact factor: 2.705

3.  Behavioral Health Integration into Primary Care: a Microsimulation of Financial Implications for Practices.

Authors:  Sanjay Basu; Bruce E Landon; John W Williams; Asaf Bitton; Zirui Song; Russell S Phillips
Journal:  J Gen Intern Med       Date:  2017-12       Impact factor: 5.128

4.  Accuracy of the PHQ-2 Alone and in Combination With the PHQ-9 for Screening to Detect Major Depression: Systematic Review and Meta-analysis.

Authors:  Brooke Levis; Ying Sun; Chen He; Yin Wu; Ankur Krishnan; Parash Mani Bhandari; Dipika Neupane; Mahrukh Imran; Eliana Brehaut; Zelalem Negeri; Felix H Fischer; Andrea Benedetti; Brett D Thombs; Liying Che; Alexander Levis; Kira Riehm; Nazanin Saadat; Marleine Azar; Danielle Rice; Jill Boruff; Lorie Kloda; Pim Cuijpers; Simon Gilbody; John Ioannidis; Dean McMillan; Scott Patten; Ian Shrier; Roy Ziegelstein; Ainsley Moore; Dickens Akena; Dagmar Amtmann; Bruce Arroll; Liat Ayalon; Hamid Baradaran; Anna Beraldi; Charles Bernstein; Arvin Bhana; Charles Bombardier; Ryna Imma Buji; Peter Butterworth; Gregory Carter; Marcos Chagas; Juliana Chan; Lai Fong Chan; Dixon Chibanda; Rushina Cholera; Kerrie Clover; Aaron Conway; Yeates Conwell; Federico Daray; Janneke de Man-van Ginkel; Jaime Delgadillo; Crisanto Diez-Quevedo; Jesse Fann; Sally Field; Jane Fisher; Daniel Fung; Emily Garman; Bizu Gelaye; Leila Gholizadeh; Lorna Gibson; Felicity Goodyear-Smith; Eric Green; Catherine Greeno; Brian Hall; Petra Hampel; Liisa Hantsoo; Emily Haroz; Martin Harter; Ulrich Hegerl; Leanne Hides; Stevan Hobfoll; Simone Honikman; Marie Hudson; Thomas Hyphantis; Masatoshi Inagaki; Khalida Ismail; Hong Jin Jeon; Nathalie Jetté; Mohammad Khamseh; Kim Kiely; Sebastian Kohler; Brandon Kohrt; Yunxin Kwan; Femke Lamers; María Asunción Lara; Holly Levin-Aspenson; Valéria Lino; Shen-Ing Liu; Manote Lotrakul; Sonia Loureiro; Bernd Löwe; Nagendra Luitel; Crick Lund; Ruth Ann Marrie; Laura Marsh; Brian Marx; Anthony McGuire; Sherina Mohd Sidik; Tiago Munhoz; Kumiko Muramatsu; Juliet Nakku; Laura Navarrete; Flávia Osório; Vikram Patel; Brian Pence; Philippe Persoons; Inge Petersen; Angelo Picardi; Stephanie Pugh; Terence Quinn; Elmars Rancans; Sujit Rathod; Katrin Reuter; Svenja Roch; Alasdair Rooney; Heather Rowe; Iná Santos; Miranda Schram; Juwita Shaaban; Eileen Shinn; Abbey Sidebottom; Adam Simning; Lena Spangenberg; Lesley Stafford; Sharon Sung; Keiko Suzuki; Richard Swartz; Pei Lin Lynnette Tan; Martin Taylor-Rowan; Thach Tran; Alyna Turner; Christina van der Feltz-Cornelis; Thandi van Heyningen; Henk van Weert; Lynne Wagner; Jian Li Wang; Jennifer White; Kirsty Winkley; Karen Wynter; Mitsuhiko Yamada; Qing Zhi Zeng; Yuying Zhang
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Review 5.  Late-life depression: issues for the general practitioner.

Authors:  Axel Van Damme; Tom Declercq; Lieve Lemey; Hannelore Tandt; Mirko Petrovic
Journal:  Int J Gen Med       Date:  2018-03-29

6.  Shortening self-report mental health symptom measures through optimal test assembly methods: Development and validation of the Patient Health Questionnaire-Depression-4.

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Journal:  Depress Anxiety       Date:  2018-09-20       Impact factor: 8.128

Review 7.  Depression in people with type 2 diabetes: current perspectives.

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Journal:  Diabetes Metab Syndr Obes       Date:  2018-07-10       Impact factor: 3.168

8.  Probability of Major Depression Classification Based on the SCID, CIDI, and MINI Diagnostic Interviews: A Synthesis of Three Individual Participant Data Meta-Analyses.

Authors:  Yin Wu; Brooke Levis; John P A Ioannidis; Andrea Benedetti; Brett D Thombs
Journal:  Psychother Psychosom       Date:  2020-08-19       Impact factor: 17.659

9.  Developing Digital Tools for Remote Clinical Research: How to Evaluate the Validity and Practicality of Active Assessments in Field Settings.

Authors:  Jennifer Ferrar; Gareth J Griffith; Caroline Skirrow; Nathan Cashdollar; Nick Taptiklis; James Dobson; Fiona Cree; Francesca K Cormack; Jennifer H Barnett; Marcus R Munafò
Journal:  J Med Internet Res       Date:  2021-06-18       Impact factor: 5.428

10.  The Sleep Regularity Questionnaire: development and initial validation.

Authors:  Joseph M Dzierzewski; Emily K Donovan; Sahar M Sabet
Journal:  Sleep Med       Date:  2021-06-28       Impact factor: 4.842

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