Literature DB >> 18581665

Improving the efficiency of screening for major depression in people with spinal cord injury.

Daniel E Graves1, Charles H Bombardier.   

Abstract

BACKGROUND/
OBJECTIVE: To investigate the metric properties, relative efficiency, sensitivity and specificity, and positive predictive value of a short form of the Patient Health Questionnaire-9 (PHQ-9) that may be used as a screening test for depression.
METHODS: Data from the National Spinal Cord Injury Statistical Center Database containing 3,652 records with complete data for the PHQ-9 were analyzed using Confirmatory Factor Analysis, Item Response Theory Graded Response Model analysis, and sensitivity and specificity analysis of classification.
RESULTS: A scale comprised of items 1, 2, and 6 from the PHQ-9 has a relative efficiency of 0.66 compared to the 9-item scale. Using this 3-item scale and a cutoff score of 3 or more provides specificity of 0.93 and sensitivity of 0.87; a cutoff of 4 provides specificity of 0.95 and sensitivity of 0.82. The shorter version of the scale reduces the effect of response bias caused by gender. The relative efficiency of the 9-item scale is 0.88 for women compared to men; the 3-item scale increases the relative efficiency to 0.93.
CONCLUSION: A 3-item scale provides adequate information for clinical screening purposes. Cutoff scores of either 3 or 4 are acceptable and present options for decision making within a particular clinical setting. Additionally, the 3-item scale reduces the effect of gender of the respondent on the score obtained.

Entities:  

Mesh:

Year:  2008        PMID: 18581665      PMCID: PMC2565478          DOI: 10.1080/10790268.2008.11760709

Source DB:  PubMed          Journal:  J Spinal Cord Med        ISSN: 1079-0268            Impact factor:   1.985


  18 in total

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Authors:  K Kroenke; R L Spitzer; J B Williams
Journal:  J Gen Intern Med       Date:  2001-09       Impact factor: 5.128

4.  Anxiety and depression after spinal cord injury: a longitudinal analysis.

Authors:  P Kennedy; B A Rogers
Journal:  Arch Phys Med Rehabil       Date:  2000-07       Impact factor: 3.966

5.  Symptoms of major depression in people with spinal cord injury: implications for screening.

Authors:  Charles H Bombardier; J Scott Richards; James S Krause; David Tulsky; Denise G Tate
Journal:  Arch Phys Med Rehabil       Date:  2004-11       Impact factor: 3.966

6.  Depression after spinal cord injury: relation to gender, ethnicity, aging, and socioeconomic indicators.

Authors:  J S Krause; B Kemp; J Coker
Journal:  Arch Phys Med Rehabil       Date:  2000-08       Impact factor: 3.966

7.  Is this patient clinically depressed?

Authors:  John W Williams; Polly Hitchcock Noël; Jeffrey A Cordes; Gilbert Ramirez; Michael Pignone
Journal:  JAMA       Date:  2002-03-06       Impact factor: 56.272

8.  Screening for depression in adults: a summary of the evidence for the U.S. Preventive Services Task Force.

Authors:  Michael P Pignone; Bradley N Gaynes; Jerry L Rushton; Catherine Mills Burchell; C Tracy Orleans; Cynthia D Mulrow; Kathleen N Lohr
Journal:  Ann Intern Med       Date:  2002-05-21       Impact factor: 25.391

9.  Psychologic prediction of duration of inpatient spinal cord injury rehabilitation and performance of self-care.

Authors:  J Malec; R Neimeyer
Journal:  Arch Phys Med Rehabil       Date:  1983-08       Impact factor: 3.966

10.  The Patient Health Questionnaire-2: validity of a two-item depression screener.

Authors:  Kurt Kroenke; Robert L Spitzer; Janet B W Williams
Journal:  Med Care       Date:  2003-11       Impact factor: 2.983

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  10 in total

Review 1.  A systematic review of depression and anxiety measures used with individuals with spinal cord injury.

Authors:  B M Sakakibara; W C Miller; S G Orenczuk; D L Wolfe
Journal:  Spinal Cord       Date:  2009-07-21       Impact factor: 2.772

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4.  Comparison of the Patient Health Questionnaire and the Older Adult Health and Mood Questionnaire for self-reported depressive symptoms after spinal cord injury.

Authors:  James S Krause; Lee L Saunders; Karla S Reed; Jennifer Coker; Yusheng Zhai; Emily Johnson
Journal:  Rehabil Psychol       Date:  2009-11

5.  Depression Following Spinal Cord Injury: Its Relationship to Demographic and Socioeconomic Indicators.

Authors:  Zahra Khazaeipour; Seyedeh-Mohadeseh Taheri-Otaghsara; Maryam Naghdi
Journal:  Top Spinal Cord Inj Rehabil       Date:  2015-04-12

6.  Neural substrates for the motivational regulation of motor recovery after spinal-cord injury.

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Journal:  PLoS One       Date:  2011-09-28       Impact factor: 3.240

7.  Development and feasibility of an automated call monitoring intervention for older wheelchair users: the MOvIT project.

Authors:  Claudine Auger; William C Miller; Jeffrey W Jutai; Robyn Tamblyn
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8.  Measuring depression after spinal cord injury: Development and psychometric characteristics of the SCI-QOL Depression item bank and linkage with PHQ-9.

Authors:  David S Tulsky; Pamela A Kisala; Claire Z Kalpakjian; Charles H Bombardier; Ryan T Pohlig; Allen W Heinemann; Adam Carle; Seung W Choi
Journal:  J Spinal Cord Med       Date:  2015-05       Impact factor: 1.985

9.  Quality-of-Life Outcomes following Thoracolumbar and Lumbar Fusion with and without the Use of Recombinant Human Bone Morphogenetic Protein-2: Does Recombinant Human Bone Morphogenetic Protein-2 Make a Difference?

Authors:  Daniel Lubelski; Matthew D Alvin; Andrew Torre-Healy; Kalil G Abdullah; Amy S Nowacki; Robert G Whitmore; Michael P Steinmetz; Edward C Benzel; Thomas E Mroz
Journal:  Global Spine J       Date:  2014-10-10

10.  Screening for depression in primary care: a Rasch analysis of the PHQ-9.

Authors:  Mike Horton; Amanda E Perry
Journal:  BJPsych Bull       Date:  2016-10
  10 in total

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