Skip to main content

Advertisement

Log in

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

  • Published:
Quality of Life Research Aims and scope Submit manuscript

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.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Similar content being viewed by others

Abbreviations

CES-D:

Center for Epidemiological Studies Depression scale

CFA:

Confirmatory factor analysis

DIF:

Differential item functioning

DSM-IV:

Diagnostic and Statistical Manual of Mental Disorders fourth edition

EFA:

Exploratory factor analysis

GCS:

Glasgow Coma Scale

GRM:

Graded response model

IRT:

Item response theory

MDD:

Major depressive disorder

PHQ-9:

Patient Health Questionnaire 9

PROMIS-D:

Patient-Reported Outcomes Measurement Information System (PROMIS®)-Depression

SCI:

Spinal cord injury

TBI:

Traumatic brain injury

References

  1. Craig, A., Tran, Y., & Middleton, J. (2009). Psychological morbidity and spinal cord injury: A systematic review. Spinal Cord, 47(2), 108–114.

    Article  CAS  PubMed  Google Scholar 

  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.

    Article  Google Scholar 

  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.

    Google Scholar 

  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.

    CAS  PubMed  Google Scholar 

  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.

    CAS  PubMed  Google Scholar 

  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.

    Article  PubMed  PubMed Central  Google Scholar 

  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.

    Article  PubMed  Google Scholar 

  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.

    Article  PubMed  PubMed Central  Google Scholar 

  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.

    Article  Google Scholar 

  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.

    Article  PubMed  Google Scholar 

  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.

    Article  PubMed  Google Scholar 

  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.

    Article  PubMed  Google Scholar 

  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.

    Article  PubMed  Google Scholar 

  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.

    Article  PubMed  Google Scholar 

  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.

    Article  PubMed  Google Scholar 

  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.

    Article  PubMed  Google Scholar 

  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.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  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.

    Article  PubMed  PubMed Central  Google Scholar 

  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.

    Article  PubMed  Google Scholar 

  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.

    Article  PubMed  Google Scholar 

  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.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  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.

    Article  PubMed  PubMed Central  Google Scholar 

  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.

    Article  PubMed  PubMed Central  Google Scholar 

  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.

    Article  PubMed  Google Scholar 

  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.

    CAS  PubMed  Google Scholar 

  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.

    Article  PubMed  PubMed Central  Google Scholar 

  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.

    Article  PubMed  Google Scholar 

  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.

    Article  CAS  PubMed  Google Scholar 

  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.

    Article  PubMed  PubMed Central  Google Scholar 

  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.

    Article  PubMed  Google Scholar 

  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.

    Article  PubMed  Google Scholar 

  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.

    Article  PubMed  Google Scholar 

  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.

    Article  PubMed  PubMed Central  Google Scholar 

  34. Muraki, E. (1992). A generalized partial credit model: Application of an EM algorithm. Applied Psychological Measurement, 16(2), 159–176.

    Article  Google Scholar 

  35. Samejima, F. (1969). Estimation of Latent Ability Using a Response Pattern of Graded Scores (Psychometric Monograph no. 17). Richmond, VA: Psychometric Society. Retrieved from http://www.psychometrika.org/journal/online/MN17.pdf.

    Google Scholar 

  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.

    Article  Google Scholar 

  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.

    Google Scholar 

  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.

    Article  PubMed  PubMed Central  Google Scholar 

  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.

    Google Scholar 

  40. Hu, L., & Bentler, P. M. (1988). Fit indices in covariance structure modeling: Sensitivity to underparameterization model misspecification. Psychological Methods, 3, 424–453.

    Article  Google Scholar 

  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.

    Google Scholar 

  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.

    Article  PubMed  Google Scholar 

  43. Cohen, J. (1988). Statistical power analysis for the behavioral sciences. Hillsdale, NJ: Lawrence Erlbaum Associates.

    Google Scholar 

  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.

    Google Scholar 

  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.

    Article  Google Scholar 

  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.

    Article  Google Scholar 

  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.

    Article  PubMed  Google Scholar 

  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.

    Article  PubMed  Google Scholar 

  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.

    Article  CAS  PubMed  Google Scholar 

  50. Simon, G. E., & Von Korff, M. (2006). Medical co-morbidity and validity of DSM-IV depression criteria. Psychological Medicine, 36(1), 27–36.

    Article  PubMed  Google Scholar 

  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.

    Article  PubMed  Google Scholar 

  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.

    Article  PubMed  Google Scholar 

  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.

    Article  PubMed  Google Scholar 

  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.

    Article  PubMed  PubMed Central  Google Scholar 

  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.

    Article  PubMed  Google Scholar 

  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.

    Article  PubMed  Google Scholar 

  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.

    Article  PubMed  PubMed Central  Google Scholar 

Download references

Acknowledgments

Research reported in this paper was supported by the Agency for Healthcare Research and Quality (AHRQ) under award number R03HS020700. The content is solely the responsibility of the authors and does not necessarily represent the official views of the AHRQ. The contents of this publication were developed in part under Grants from the Department of Education, National Institute of Disability and Rehabilitation Research, Grant Numbers H133B080024, H133B031129, H133N110009, and H133N060033. However, those contents do not necessarily represent the policy of the Department of Education, and you should not assume endorsement by the Federal Government. Research reported in this paper was supported by the National Institute of Arthritis and Musculoskeletal and Skin Diseases of the National Institutes of Health under award number 5U01AR052171. The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Karon F. Cook.

Ethics declarations

Conflict of interest

Drs. Cook, Kallen, Bombarier, Choi and Amtmann and Ms. Bamer and Ms. Salem declare that they have no conflict of interest.

Ethical standards

All procedures performed in studies involving human participants were in accordance with the ethical standards of the institutional and/or national research committee and with the 1964 Helsinki declaration and its later amendments or comparable ethical standards.

Informed consent

Informed consent was obtained from all individual participants included in the study.

Additional information

The contents do not necessarily represent the policy of the Department of Education, and you should not assume endorsement by the US government.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Cook, K.F., Kallen, M.A., Bombardier, C. et al. 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. Qual Life Res 26, 139–148 (2017). https://doi.org/10.1007/s11136-016-1363-x

Download citation

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11136-016-1363-x

Keywords

Navigation