Skip to main content
Mijn bibliotheek
Shop
Nieuws Boeken Tijdschriften E-learning Web-tv Video Audio
Tips voor Mijn BSL
UITGEBREID ZOEKEN
Inloggen
Top
Quality of Life Research
Gepubliceerd in: Quality of Life Research 1/2017

14-07-2016

Do measures of depressive symptoms function differently in people with spinal cord injury versus primary care patients: the CES-D, PHQ-9, and PROMIS®-D

Auteurs: Karon F. Cook, Michael A. Kallen, Charles Bombardier, Alyssa M. Bamer, Seung W. Choi, Jiseon Kim, Rana Salem, Dagmar Amtmann

Gepubliceerd in: Quality of Life Research | Uitgave 1/2017

Log in om toegang te krijgen
share
DELEN

Deel dit onderdeel of sectie (kopieer de link)

  • Optie A:
    Klik op de rechtermuisknop op de link en selecteer de optie “linkadres kopiëren”
  • Optie B:
    Deel de link per e-mail
    Link delen
publish
Publiceer nu

Abstract

Purpose

To evaluate whether items of three measures of depressive symptoms function differently in persons with spinal cord injury (SCI) than in persons from a primary care sample.

Methods

This study was a retrospective analysis of responses to the Patient Health Questionnaire depression scale, the Center for Epidemiological Studies Depression scale, and the National Institutes of Health Patient-Reported Outcomes Measurement Information System (PROMIS®) version 1.0 eight-item depression short form 8b (PROMIS-D). The presence of differential item function (DIF) was evaluated using ordinal logistic regression.

Results

No items of any of the three target measures were flagged for DIF based on standard criteria. In a follow-up sensitivity analyses, the criterion was changed to make the analysis more sensitive to potential DIF. Scores were corrected for DIF flagged under this criterion. Minimal differences were found between the original scores and those corrected for DIF under the sensitivity criterion.

Conclusions

The three depression screening measures evaluated in this study did not perform differently in samples of individuals with SCI compared to general and community samples. Transdiagnostic symptoms did not appear to spuriously inflate depression severity estimates when administered to people with SCI.
vorige artikel The perceived constraints subscale of the Sense of Mastery Scale: dimensionality and measurement invariance
volgende artikel Measuring chronic condition self-management in an Australian community: factor structure of the revised Partners in Health (PIH) scale
Literatuur
1.
Craig, A., Tran, Y., & Middleton, J. (2009). Psychological morbidity and spinal cord injury: A systematic review. Spinal Cord, 47(2), 108–114.CrossRefPubMed
2.
Herrick, S., Elliott, T. R., & Crow, F. (1994). Social support and the prediction of health complications among persons with spinal cord injuries. Rehabilitation Psychology, 39, 231–250.CrossRef
3.
Elliott, T., & Harkins, S. (1991). Psychosocial concomitants of persistent pain among persons with spinal cord injury. NeuroRehabilitation: An Interdisciplinary Journal, 1(4), 9–18.
4.
Fuhrer, M. J., Rintala, D. H., Hart, K. A., Clearman, R., & Young, M. E. (1993). Depressive symptomatology in persons with spinal cord injury who reside in the community. Archives of Physical Medicine and Rehabilitation, 74(3), 255–260.PubMed
5.
MacDonald, M. R., Nielson, W. R., & Cameron, M. G. (1987). Depression and activity patterns of spinal cord injured persons living in the community. Archives of Physical Medicine and Rehabilitation, 68(6), 339–343.PubMed
6.
Krause, J. S., Zhai, Y., Saunders, L. L., & Carter, R. E. (2009). Risk of mortality after spinal cord injury: An 8-year prospective study. Archives of Physical Medicine and Rehabilitation, 90(10), 1708–1715.CrossRefPubMedPubMedCentral
7.
Fann, J. R., Bombardier, C. H., Richards, J. S., Tate, D. G., Wilson, C. S., Temkin, N., et al. (2011). Depression after spinal cord injury: Comorbidities, mental health service use, and adequacy of treatment. Archives of Physical Medicine and Rehabilitation, 92(3), 352–360.CrossRefPubMed
8.
Kalpakjian, C. Z., Bombardier, C. H., Schomer, K., Brown, P. A., & Johnson, K. L. (2009). Measuring depression in persons with spinal cord injury: A systematic review. Journal of Spinal Cord Medicine, 32(1), 6–24.CrossRefPubMedPubMedCentral
9.
Radloff, L. (1977). The CES-D scale: A new self-report depression scale for research in the general population. Applied Psychological Measurement, 1, 385–401.CrossRef
10.
Orlando Edelen, M. O., Thissen, D., Teresi, J. A., Kleinman, M., & Ocepek-Welikson, K. (2006). Identification of differential item functioning using item response theory and the likelihood-based model comparison approach. Application to the Mini-Mental State Examination. Medical Care, 44(11 Suppl 3), S134–S142.CrossRefPubMed
11.
Teresi, J. A. (2006). Different approaches to differential item functioning in health applications. Advantages, disadvantages and some neglected topics. Medical Care, 44(11 Suppl 3), S152–S170.CrossRefPubMed
12.
Teresi, J. A., Ocepek-Welikson, K., Kleinman, M., Cook, K. F., Crane, P. K., Gibbons, L. E., et al. (2007). Evaluating measurement equivalence using the item response theory log-likelihood ratio (IRTLR) method to assess differential item functioning (DIF): Applications (with illustrations) to measures of physical functioning ability and general distress. Quality of Life Research, 16 Suppl 1, 43–68.CrossRefPubMed
13.
Cook, K. F., Bamer, A. M., Amtmann, D., Molton, I. R., & Jensen, M. P. (2012). Six patient-reported outcome measurement information system short form measures have negligible age- or diagnosis-related differential item functioning in individuals with disabilities. Archives of Physical Medicine and Rehabilitation, 93(7), 1289–1291.CrossRefPubMed
14.
Fieo, R., Mukherjee, S., Dmitrieva, N. O., Fyffe, D. C., Gross, A. L., Sanders, E. R., et al. (2015). Differential item functioning due to cognitive status does not impact depressive symptom measures in four heterogeneous samples of older adults. International Journal of Geriatric Psychiatry, 30(9), 911–918.CrossRefPubMed
15.
Wanders, R. B., Wardenaar, K. J., Kessler, R. C., Penninx, B. W., Meijer, R. R., & de Jonge, P. (2015). Differential reporting of depressive symptoms across distinct clinical subpopulations: What DIFference does it make? Journal of Psychosomatic Research, 78(2), 130–136.CrossRefPubMed
16.
Chung, H., Kim, J., Askew, R. L., Jones, S. M., Cook, K. F., & Amtmann, D. (2015). Assessing measurement invariance of three depression scales between neurologic samples and community samples. Quality of Life Research, 24(8), 1829–1834.CrossRefPubMed
17.
Kroenke, K., Spitzer, R. L., & Williams, J. B. (2001). The PHQ-9: Validity of a brief depression severity measure. Journal of General Internal Medicine, 16(9), 606–613.CrossRefPubMedPubMedCentral
18.
Pilkonis, P. A., Choi, S. W., Reise, S. P., Stover, A. M., Riley, W. T., Cella, D., et al. (2011). Item banks for measuring emotional distress from the Patient-Reported Outcomes Measurement Information System (PROMIS(R)): Depression, anxiety, and anger. Assessment, 18(3), 263–283.CrossRefPubMedPubMedCentral
19.
Kroenke, K., Spitzer, R. L., Williams, J. B., & Lowe, B. (2010). The Patient Health Questionnaire Somatic, Anxiety, and Depressive Symptom Scales: A systematic review. General Hospital Psychiatry, 32(4), 345–359.CrossRefPubMed
20.
Bombardier, C. H., Kalpakjian, C. Z., Graves, D. E., Dyer, J. R., Tate, D. G., & Fann, J. R. (2012). Validity of the Patient Health Questionnaire-9 in assessing major depressive disorder during inpatient spinal cord injury rehabilitation. Archives of Physical Medicine and Rehabilitation, 93(10), 1838–1845.CrossRefPubMed
21.
Sakakibara, B. M., Miller, W. C., Orenczuk, S. G., Wolfe, D. L., & Team, S. R. (2009). A systematic review of depression and anxiety measures used with individuals with spinal cord injury. Spinal Cord, 47(12), 841–851.CrossRefPubMedPubMedCentral
22.
Irwin, D. E., Stucky, B., Langer, M. M., Thissen, D., Dewitt, E. M., Lai, J. S., et al. (2010). An item response analysis of the pediatric PROMIS anxiety and depressive symptoms scales. Quality of Life Research, 19(4), 595–607.CrossRefPubMedPubMedCentral
23.
Cella, D., Riley, W., Stone, A., Rothrock, N., Reeve, B., Yount, S., et al. (2010). The Patient-Reported Outcomes Measurement Information System (PROMIS) developed and tested its first wave of adult self-reported health outcome item banks: 2005–2008. Journal of Clinical Epidemiology, 63(11), 1179–1194.CrossRefPubMedPubMedCentral
24.
Narrow, W. E., Clarke, D. E., Kuramoto, S. J., Kraemer, H. C., Kupfer, D. J., Greiner, L., et al. (2013). DSM-5 field trials in the United States and Canada, Part III: Development and reliability testing of a cross-cutting symptom assessment for DSM-5. American Journal of Psychiatry, 170(1), 71–82.CrossRefPubMed
25.
Weissman, M. M., Sholomskas, D., Pottenger, M., Prusoff, B. A., & Locke, B. Z. (1977). Assessing depressive symptoms in five psychiatric populations: A validation study. American Journal of Epidemiology, 106(3), 203–214.PubMed
26.
Allison, D. J., & Ditor, D. S. (2015). Targeting inflammation to influence mood following spinal cord injury: A randomized clinical trial. Journal of Neuroinflammation, 12, 204.CrossRefPubMedPubMedCentral
27.
Robinson-Whelen, S., Taylor, H. B., Hughes, R. B., & Nosek, M. A. (2013). Depressive symptoms in women with physical disabilities: Identifying correlates to inform practice. Archives of Physical Medicine and Rehabilitation, 94(12), 2410–2416.CrossRefPubMed
28.
Spitzer, R. L., Kroenke, K., & Williams, J. B. (1999). Validation and utility of a self-report version of PRIME-MD: The PHQ primary care study. Primary Care Evaluation of Mental Disorders. Patient Health Questionnaire. JAMA, 282(18), 1737–1744.CrossRefPubMed
29.
Amtmann, D., Cook, K. F., Johnson, K. L., & Cella, D. (2011). The PROMIS initiative: Involvement of rehabilitation stakeholders in development and examples of applications in rehabilitation research. Archives of Physical Medicine and Rehabilitation, 92(10 Suppl), S12–S19.CrossRefPubMedPubMedCentral
30.
Fogelberg, D. J., Vitiello, M. V., Hoffman, J. M., Bamer, A. M., & Amtmann, D. (2015). Comparison of self-report sleep measures for individuals with multiple sclerosis and spinal cord injury. Archives of Physical Medicine and Rehabilitation, 96(3), 478–483.CrossRefPubMed
31.
Krause, J. S., Saunders, L. L., Bombardier, C., & Kalpakjian, C. (2011). Confirmatory factor analysis of the Patient Health Questionnaire-9: A study of the participants from the spinal cord injury model systems. PM R, 3(6), 533–540. quiz 540.CrossRefPubMed
32.
Jensen, M. P., Smith, A. E., Bombardier, C. H., Yorkston, K. M., Miro, J., & Molton, I. R. (2014). Social support, depression, and physical disability: Age and diagnostic group effects. Disability and Health Journal, 7(2), 164–172.CrossRefPubMed
33.
Choi, S. W., Gibbons, L. E., & Crane, P. K. (2011). Lordif: An R package for detecting differential item functioning using iterative hybrid ordinal logistic regression/item response theory and Monte Carlo simulations. Journal of Statistical Software, 39(8), 1–30.CrossRefPubMedPubMedCentral
34.
Muraki, E. (1992). A generalized partial credit model: Application of an EM algorithm. Applied Psychological Measurement, 16(2), 159–176.CrossRef
35.
36.
Lance, C., Butts, M., & Michels, L. (2006). The sources of four commonly reported cutoff criteria: What did they really say? Organizational Research Methods, 9, 202–220.CrossRef
37.
West, S. G., Taylor, A. B., & Wu, W. (2012). Model fit and model selection in structural equation modeling. In R. H. Hoyle (Ed.), Handbook of structural equation modeling (pp. 209–231). New York, NY: Guilford Press.
38.
Cook, K. F., Kallen, M. A., & Amtmann, D. (2009). Having a fit: Impact of number of items and distribution of data on traditional criteria for assessing IRT’s unidimensionality assumption. Quality of Life Research, 18(4), 447–460.CrossRefPubMedPubMedCentral
39.
Browne, M. W., & Cudeck, R. (1993). Alternative ways of assessing model fit. In K. A. Bollen & J. S. Long (Eds.), Testing structural equation models (pp. 136–162). Newbury Park, CA: Sage.
40.
Hu, L., & Bentler, P. M. (1988). Fit indices in covariance structure modeling: Sensitivity to underparameterization model misspecification. Psychological Methods, 3, 424–453.CrossRef
41.
Hu, L., & Bentler, P. M. (1996). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling, 6(s), 1–55.
42.
Reeve, B. B., Hays, R. D., Bjorner, J. B., Cook, K. F., Crane, P. K., Teresi, J. A., et al. (2007). Psychometric evaluation and calibration of health-related quality of life item banks: Plans for the Patient-Reported Outcomes Measurement Information System (PROMIS). Medical Care, 45(5 Suppl 1), S22–S31.CrossRefPubMed
43.
Cohen, J. (1988). Statistical power analysis for the behavioral sciences. Hillsdale, NJ: Lawrence Erlbaum Associates.
44.
Zumbo, B. D. (1999). A handbook on the theory and methods of differential item functioning (DIF): Logistic regression modeling as a unitary framework for binary and Likert-type(ordinal) item scores. Ottawa: Directorate of Human Resources Research and Evaluation, Department of National Defense.
45.
Jodoin, M. G., & Gierl, M. J. (2001). Evaluating type I error and power rates using an effect size measure with the logistic regression procedure for DIF detection. Applied Measurement in Education, 14, 329–349.CrossRef
46.
Kim, S. H., Cohen, A. S., Alagoz, C., & Kim, S. (2007). DIF detection effect size measures for polytomously scored items. Journal of Educational Measurement, 44, 93–116.CrossRef
47.
Crane, P. K., van Belle, G., & Larson, E. B. (2004). Test bias in a cognitive test: Differential item functioning in the CASI. Statistics in Medicine, 23(2), 241–256.CrossRefPubMed
48.
Crane, P. K., Gibbons, L. E., Ocepek-Welikson, K., Cook, K., Cella, D., Narasimhalu, K., et al. (2007). A comparison of three sets of criteria for determining the presence of differential item functioning using ordinal logistic regression. Quality of Life Research, 16(Suppl 1), 69–84.CrossRefPubMed
49.
Koenig, H. G., George, L. K., Peterson, B. L., & Pieper, C. F. (1997). Depression in medically ill hospitalized older adults: Prevalence, characteristics, and course of symptoms according to six diagnostic schemes. American Journal of Psychiatry, 154(10), 1376–1383.CrossRefPubMed
50.
Simon, G. E., & Von Korff, M. (2006). Medical co-morbidity and validity of DSM-IV depression criteria. Psychological Medicine, 36(1), 27–36.CrossRefPubMed
51.
Williams, J. W, Jr., Noel, P. H., Cordes, J. A., Ramirez, G., & Pignone, M. (2002). Is this patient clinically depressed? JAMA, 287(9), 1160–1170.CrossRefPubMed
52.
Fann, J. R., Bombardier, C. H., Richards, J. S., Wilson, C. S., Heinemann, A. W., Warren, A. M., et al. (2015). Venlafaxine extended-release for depression following spinal cord injury: A randomized clinical trial. JAMA Psychiatry, 72(3), 247–258.CrossRefPubMed
53.
Perkes, S. J., Bowman, J., & Penkala, S. (2014). Psychological therapies for the management of co-morbid depression following a spinal cord injury: A systematic review. Journal of Health Psychology, 19(12), 1597–1612.CrossRefPubMed
54.
Coventry, P. A., Hudson, J. L., Kontopantelis, E., Archer, J., Richards, D. A., Gilbody, S., et al. (2014). Characteristics of effective collaborative care for treatment of depression: A systematic review and meta-regression of 74 randomised controlled trials. PLoS ONE, 9(9), e108114.CrossRefPubMedPubMedCentral
55.
Gilbody, S., Bower, P., Fletcher, J., Richards, D., & Sutton, A. J. (2006). Collaborative care for depression: A cumulative meta-analysis and review of longer-term outcomes. Archives of Internal Medicine, 166(21), 2314–2321.CrossRefPubMed
56.
Gilbody, S., Whitty, P., Grimshaw, J., & Thomas, R. (2003). Educational and organizational interventions to improve the management of depression in primary care: A systematic review. JAMA, 289(23), 3145–3151.CrossRefPubMed
57.
Green, C., Richards, D. A., Hill, J. J., Gask, L., Lovell, K., Chew-Graham, C., et al. (2014). Cost-effectiveness of collaborative care for depression in UK primary care: Economic evaluation of a randomised controlled trial (CADET). PLoS ONE, 9(8), e104225.CrossRefPubMedPubMedCentral
Metagegevens
Titel
Do measures of depressive symptoms function differently in people with spinal cord injury versus primary care patients: the CES-D, PHQ-9, and PROMIS®-D
Auteurs
Karon F. Cook
Michael A. Kallen
Charles Bombardier
Alyssa M. Bamer
Seung W. Choi
Jiseon Kim
Rana Salem
Dagmar Amtmann
Publicatiedatum
14-07-2016
Uitgeverij
Springer International Publishing
Gepubliceerd in
Quality of Life Research / Uitgave 1/2017
Print ISSN: 0962-9343
Elektronisch ISSN: 1573-2649
DOI
https://doi.org/10.1007/s11136-016-1363-x

Andere artikelen Uitgave 1/2017

Quality of Life Research 1/2017 Naar de uitgave

Brief Communication

Development of a French version of the Endometriosis Health Profile 5 (EHP-5): cross-cultural adaptation and psychometric evaluation

Brief Communication

Cross-cultural adaptation and validation of the Social Comfort Questionnaire for Brazilian adult survivors of burns

Brief Communication

Exploring measurement invariance by gender in the profile of mood states depression subscale among cancer survivors

OriginalPaper

Quality of life in aphasic patients 1 year after a first stroke

OriginalPaper

Quality of life in patients with a permanent stoma after rectal cancer surgery

Brief Communication

Development of a short form of the Spanish schedule of attitudes toward hastened death in a palliative care population