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Clinician Burden and Depression Treatment: Disentangling Patient- and Clinician-Level Effects of Medical Comorbidity

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Abstract

Background

Efforts to improve primary care depression treatment have assessed strategies across heterogeneous groups of patients, but few have examined clinician-level influences on depression treatment.

Objective

To examine clinician characteristics that affect depression treatment in primary care settings, using multilevel ordinal regression modeling to disentangle patient- from clinician-level effects.

Design

Secondary analysis from the Quality Improvement in Depression Study dataset.

Participants

The participants were 1,023 primary care patients with depression who reported on treatment in the 6-month follow-up and whose clinicians (n = 158) had at least 4 patients in the study.

Measurements

Primary outcome variable was depression treatment intensity, derived from assessment of concordance with AHCPR depression treatment guidelines based on patient-reported data on their treatment. Primary independent variable was clinical practice burden for treating depression, derived from patient- and clinician-reported composite measures tested for significant association with clinician-reported practice burden.

Results

Clinicians who treat patients with more chronic medical comorbidities perceive less burden from treating depressed patients in their practice (Spearman’s rho = −.30, p < .05). Clinicians who treat patients with more chronic medical comorbidities also provide greater intensity of depression treatment (adjusted OR = 1.44, p = .02), even after adjusting for the effects of patient-level chronic medical comorbidities (adjusted OR = 0.95, p = .45).

Conclusions

Clinicians who provide more chronic care also provide greater depression treatment intensity, suggesting that clinicians who care for complex patients can integrate depression care into their practice. Targeting interventions to these clinicians to enhance their ability to provide guideline-concordant depression care is a worthwhile endeavor and deserves further investigation.

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References

  1. Coyne JC, Fechner-Bates S, Schwenk TL. Prevalence, nature, and comorbidity of depressive disorders in primary care. Gen Hosp Psychiatry. 1994;16:267–76.

    Article  PubMed  CAS  Google Scholar 

  2. Olfson M, Marcus SC, Druss B, Elinson L, Tanielian T, Pincus HA. National trends in the outpatient treatment of depression. JAMA. 2002;287(2):203–9.

    Article  PubMed  Google Scholar 

  3. Kessler RC, Demler O, Frank RG, et al. Prevalence and treatment of mental disorders, 1990 to 2003. N Engl J. 2005;352:2515–23.

    Article  CAS  Google Scholar 

  4. Brody DS, Thompson TL, Larson DB, Ford DE, Katon WJ, Magruder KM. Recognizing and managing depression in primary care. Gen Hosp Psychiatry. 1995;17:93–107.

    Article  PubMed  CAS  Google Scholar 

  5. Wells KB, Sherbourne CD. Functioning and utility for current health of patients with depression or chronic medical conditions in managed, primary care practices. Arch Gen Psychiatry. 1999;56:897–904.

    Article  PubMed  CAS  Google Scholar 

  6. Wells KB, Stewart A, Hays RD, et al. The functioning and well-being of depressed patients. Results from the medical outcomes study. J Am Med Assoc. 1989;262:914–99.

    Article  CAS  Google Scholar 

  7. Greenberg PE, Kessler RC, Birnbaum HG, Leong SA, Lowe SW, Berglund PA, Coret-Lisle PK. The economic burden of depression in the United States: How did it change between 1990–2000? J Clin Psychiatry. 2003;64(12):1465–75.

    Article  PubMed  Google Scholar 

  8. Rost K, Pyne JM, Dickinson LM, LoSasso A. Cost effectiveness of enhancing primary care depression management on an ongoing basis. Ann Fam Med. 2005;3:7–14.

    Article  PubMed  Google Scholar 

  9. Dickinson LM, Rost K, Nutting PA, Elliott CE, Keeley RD, Pincus H. RCT of a Care manager intervention for major depression in primary care: 2-year costs for patients with physical versus psychological symptoms. Ann Fam Med. 2005;3:15–22.

    Article  PubMed  Google Scholar 

  10. Yates WR, Mitchell J, Rush AJ, Trivedi M, Wisneiwski SF, Warden D, Bryan C, Fava M, Husain MM, Gaynes BN. Clinical features of depression in outpatients with and without co-occurring general medical conditions in STAR*D: Confirmatory analysis. Primary Care Companion Journal of Clinical Psychiatry. 2007;9:7–15.

    Google Scholar 

  11. Hays JC, Krishnan KR, George LK, Pieper CF, Flint EP, Blazer DG. Psychosocial and physical correlates of chronic depression. Psychiatry Res. 1997;10:149–59.

    Article  Google Scholar 

  12. Bogner HR, Ford DE, Gallo JJ. The role of cardiovascular disease in the identification and management of depression by primary care physicians. Am J Geriatr Psychiatry. 2006;14:71–8.

    Article  PubMed  Google Scholar 

  13. Harman JS, Edlund MJ, Fortney JC, Kallas H. The influence of comorbid chronic medical conditions on the adequacy of depression care for older Americans. J Am Geriatr Soc. 2005;53:2178–83.

    Article  PubMed  Google Scholar 

  14. Koike AK, Unutzer J, Wells KB. Improving the care for depression in patients with comorbid medical illness. Am J Psych. 2002;159:1738–45.

    Article  Google Scholar 

  15. Simon GE, VonKorff M, Barlow W. Health care costs of primary care patients with recognized depression. Arch Gen Psychiatry. 1995;52:850–56.

    PubMed  CAS  Google Scholar 

  16. Katon W, Von Korff M, Lin E, Bush T, Ludman E, Simon G, Walker E. A multifaceted intervention to improve treatment of depression in primary care. Arch Gen Psychiatry. 1996;53:924–32.

    PubMed  CAS  Google Scholar 

  17. Wells KB, Sherbourne C, Schoenbaum M, Duan N, Meredith L, Unutzer J, Miranda J, Carney MF, Rubenstein LV. Impact of disseminating quality improvement programs for depression in managed primary care: A randomized controlled trial. JAMA. 2000;283:212–20.

    Article  PubMed  CAS  Google Scholar 

  18. Rost K, Nutting P, Smith J, Werner J, Duan N. Improving depression outcomes in community primary care practice: A randomized trial of the QuEST Intervention. J Gen Intern Med. 2001;16:143–9.

    Article  PubMed  CAS  Google Scholar 

  19. Rost KM, Duan N, Rubenstein LV, Ford DE, Sherbourne CD, Meredith LS, Wells KB. The Quality Improvement for Depression Collaboration: general analytic strategies for a coordinated study of quality improvement in depression care. Gen Hosp Psych. 2001;23:239–53.

    Article  CAS  Google Scholar 

  20. Wells KB, Schoenbaum M, Unutzer J, Lagomasino IT, Rubenstein LV. Quality of care for primary care patients with depression in managed care. Arch Fam Med. 1999;8:529–36.

    Article  PubMed  CAS  Google Scholar 

  21. Rubenstein L, Meredith LS, Parker LE, Gordon NP, Hickey SC, Oken C, Lee ML. Impacts of evidence-based quality improvement on depression in primary care. A randomized experiment. J Gen Intern Med. 2006;21:1027–35.

    Article  PubMed  Google Scholar 

  22. Meredith LS, Rubenstein LV, Rost K, Ford DE, Gordon N, Nutting P, Camp P, Wells K. Treating depression in staff-model versus network-model managed care organizations. J Gen Intern Med. 1999;14:39–48.

    Article  PubMed  CAS  Google Scholar 

  23. Schoenbaum M, Unutzer J, McCaffrey D, Duan N, Sherbourne C, Wells KB. The effects of primary care depression treatment on patients’ clinical status and employment. Health Serv Res. 2002;35:1145–58.

    Article  Google Scholar 

  24. Meredith LS, Jackson-Triche M, Duan N, Rubenstein LV, Camp P, Wells KB. Quality improvement for depression enhances long-term treatment knowledge for primary care clinicians. J Gen Intern Med. 2000;15:868–77.

    Article  PubMed  CAS  Google Scholar 

  25. Thompson C, Kinmonth AL, Stevens L, Peveler RC, Stevens A, Ostler KJ. Effects of a clinical practice guideline and practice-based education on detection and outcome of depression in primary care: Hampshire-Depression Project randomized controlled trial. Lancet. 2000;335:185–91.

    Article  Google Scholar 

  26. Rubenstein LV, Jackson-Triche M, Unutzer J, Miranda J, Minnium K, Pearson ML, Wells KB. Evidence-based care for depression in managed primary care practices. Health Aff. 1999;18(5):89–105.

    Article  CAS  Google Scholar 

  27. Clever SL, Ford DE, Rubenstein LV, Rost KM, Meredith LS, Sherbourne CD, Wang N, Arbelaez JJ, Cooper LA. Primary care patients’ involvement in decision-making is associated with improvement in depression. Med Care. 2006;44:398–405.

    Article  PubMed  Google Scholar 

  28. Fortney J, Rost K, Zhang M, Warren MPA. The impact of geographic accessibility on the intensity and quality of depression treatment. MedCare. 1999;37:884–93.

    CAS  Google Scholar 

  29. Cooper LA, Gonzales JJ, Gallo JJ, Rost KM, Meredith LS, Rubenstein LV, Wang N, Ford DE. The acceptability of treatment for depression among African-American, Hispanic, and white primary care patients. Med Care. 2003;41:479–89.

    Article  PubMed  Google Scholar 

  30. Keeley RD, Smith JL, Nutting PA, Dickinson LM, Dickinson WP, Rost KM. Does a depression intervention result in improved outcomes for patients presenting with physical symptoms? J Gen Intern Med. 2004;19:615–23.

    Article  PubMed  Google Scholar 

  31. Miranda J, Duan N, Sherbourne C, Schoenbaum M, Lagomasino I, Jackson-Triche M, Wells K. Improving care for minorities: Can quality improvement interventions improve care and outcomes for depressed minorities? Results of a randomized, controlled trial. Health Serv Res. 2003;38:613–30.

    Article  PubMed  Google Scholar 

  32. Sherbourne CD, Weiss R, Duan N, Bird CE, Wells KB. Do the effects of quality improvement for depression care differ for men and women? Results of a group-level randomized controlled trial. Med Care. 2004;42:1186–93.

    Article  PubMed  Google Scholar 

  33. Lagomasino IT, Dwight-Johnson M, Zhang L, Liao D, Duan N, Wells KB. Disparities in depression treatment for Latinos and site of care. Psychiatr Serv. 2005;56:1517–23.

    Article  PubMed  Google Scholar 

  34. Meredith LS, Sherbourne CD, Jackson CA, Camp P, Wells KB. Treatment typically provided for comorbid anxiety disorders. Arch Fam Med. 1997;6:231–37.

    Article  PubMed  CAS  Google Scholar 

  35. Wells KB, Miranda J, Bauer MS, Bruce ML, Durham M, Escobar J, et al. Overcoming barriers to reducing the burden of affective disorders. Biol Psychiatry. 2002;52:655–75.

    Article  PubMed  Google Scholar 

  36. Driessen DM, Krabbendam L, van Os J. The wider social environment and mental health service use. Acta Pschiatr Scan. 2004;110:119–29.

    Article  Google Scholar 

  37. Kubzansky LD, Subramanian SV, Kawachi I, Fay ME, Soobader MJ. Neighborhood contextual influences on depressive symptoms in the elderly. Am J Epidemiol. 2005;162:253–60.

    Article  PubMed  Google Scholar 

  38. Butterworth P, Rodgers B, Jorm AF. Examining geographical and household variation in mental health in Australia. Aust N Z J Psychiatry. 2006;40:491–7.

    Article  PubMed  Google Scholar 

  39. Ferrer RJ, Palmer R, Burge S. The family contribution to health status: a population-level estimate. Annals of Family Medicine. 2005;3:102–8.

    Article  PubMed  Google Scholar 

  40. Goodman E, Huang B, Wade TJ, Kahn RS. A multilevel analysis of the relation of socioeconomic status to adolescent depressive symptoms: does school context matter? J Pediatr. 2003;143:451–6.

    Article  PubMed  Google Scholar 

  41. Tai-Seale M, Bramson R, Drukker D, Hurwicz M, Ory M, Tai-Seale T, Street R, Cook MA. Understanding Primary Care Physicians’ Propensity to Assess Elderly Patients for Depression Using Interaction and Survey Data. Med Care. 2005;43(12):1217–24.

    Article  PubMed  Google Scholar 

  42. Chan KS, Bird CE, Weiss R, Duan N, Meredith LS, Sherbourne CD. Does patient-provider gender concordance affect mental health care received by primary care patients with major depression? Women’s Health Issues. 2006;16:122–32.

    Article  PubMed  Google Scholar 

  43. Johnson MD, Meredith LS, Hickey SC, Wells KB. Influence of patient preference and primary care clinician proclivity for watchful waiting on receipt of depression treatment. Gen Hosp Psych. 2006;28:379–86.

    Article  Google Scholar 

  44. Meredith L, Wells K, Camp P. Counseling typically provided for depression: role of clinician specialty and payment system. Arch Gen Psychiatry. 1996;53:905–12.

    PubMed  CAS  Google Scholar 

  45. Nutting PA, Rost K, Smith J, Werner JJ, Elliot C. Competing demands from physical problems: effect on initiating and completing depression care over 6 months. Arch Fam Med. 2000;9:1059–64.

    Article  PubMed  CAS  Google Scholar 

  46. Rost K, Nutting P, Smith J, Coyne JC, Cooper-Patrick L, Rubenstein L. The role of competing demands in the treatment provided primary care patients with major depression. Arch Fam Med. 2000;9:150–4.

    Article  PubMed  CAS  Google Scholar 

  47. Nutting P, Rost K, Dickinson LM, Werner JJ, Dickinson WP, Smith JL, Gallovic B. Barriers to initiating depression treatment in primary care practice. J Gen Intern Med. 2002;17:103–11.

    Article  PubMed  Google Scholar 

  48. Klinkman MS. Competing demands in psychosocial care. A model for the identification and treatment of depressive disorders in primary care. Gen Hosp Psych. 1997;19:98–111.

    Article  CAS  Google Scholar 

  49. Duncan C, Jones K, Moon G. Context, composition and heterogeneity: using multilevel models in health research. Soc Sci Med. 1998;46:97–117.

    Article  PubMed  CAS  Google Scholar 

  50. Dickinson LM, Basu A. Multilevel modeling and practice-based research. Annals of Family Medicine. 2005;3:S52–60.

    Article  PubMed  Google Scholar 

  51. Bryk S, Raudenbush A. Hierarchical Linear Models: Applications and Data Analysis Methods. 2nd ed. Thousand Oaks, CA: Sage; 2002.

    Google Scholar 

  52. World Health Organization. Composite International Diagnostic Interview for Primary Care, Version 2.0. Geneva: World Health Organization; 1996.

    Google Scholar 

  53. Ashworth CD, Williamson P, Montano D. A scale to measure physician beliefs about psychosocial aspects of patient care. Soc Sci Med. 1984;19:1235–8.

    Article  PubMed  CAS  Google Scholar 

  54. Main D, Lutz LL, Barrett JE, Matthew J, Miller RS. The role of primary care clinician attitudes, beliefs, and training in the diagnosis and treatment of depression: a report from the Ambulatory Sentinel Practice Network Inc. Arch Fam Med. 1993;2:1061–66.

    Article  PubMed  CAS  Google Scholar 

  55. The CES-D scale: a self-report depression scale for research in the general population. Appl Psychol Meas. 1977;1:385–401.

    Google Scholar 

  56. AHCPR Depression Guideline Panel. Clinical Practice Guideline Number 5. Depression in Primary Care: Vol. 2. Treatment of Major Depression. AHCPR Pub. No. 93–0551. Rockville, MD: Agency for Healthcare Policy and Research. Public Health Services: US Department of Health and Human Services 1993; Washington, DC.

  57. Hepner KA, Rowe M, Rost K, Hickey MA, Sherbourne C, Ford DE, Meredith LS, Rubenstein LV. The effect of adherence to practice guidelines on depression outcomes. Ann Intern Med. 2007;147:320–29.

    PubMed  Google Scholar 

  58. SAS Version 9.1. Cary, NC: SAS Institute: 2003.

  59. Littell R, Milliken GA, Stroup WW, Wolfinger RD. SAS System for Mixed Models. Cary, NC: SAS Institute; 1996.

    Google Scholar 

  60. Raman R, Hedeker D. A mixed-effects regression model for three-level ordinal response data. Stat Med. 2005;24:3331–45.

    Article  PubMed  Google Scholar 

  61. Hedeker D, Gibbons RD. A random-effects ordinal regression model for multilevel analysis. Biometrics. 1994;50:933–44.

    Article  PubMed  CAS  Google Scholar 

  62. Rubin DB. Multiple Imputation for Nonresponse in Surveys. NY: John Wiley & Sons; 1987.

    Google Scholar 

  63. Fairclough D, Fairclough DL. Design and Analysis of Quality of Life Studies in Clinical Trials. New York: Chapman & Hall/CRC; 2002.

    Google Scholar 

  64. Wagner EH. Chronic disease management: What will it take to improve care for chronic illness? Eff Clin Pract. 1998;1(1):2–4.

    PubMed  CAS  Google Scholar 

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Acknowledgements

The authors wish to especially thank Dr. Donald Hedeker for his biostatistical mentorship along with the entire faculty of the NIMH-funded Mentoring and Education for Health Services Research Fellowship and clinician members of the SNOCAP PBRN for their helpful comments on depression and primary care.

Funding support

This project was supported by the National Institute of Mental Health MH070395.

No conflict of interest has been disclosed for any of the authors.

Presented at the North American Primary Care Research Conference, November, 2008

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Correspondence to L. Miriam Dickinson PhD.

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Dickinson, L.M., Dickinson, W.P., Rost, K. et al. Clinician Burden and Depression Treatment: Disentangling Patient- and Clinician-Level Effects of Medical Comorbidity. J GEN INTERN MED 23, 1763–1769 (2008). https://doi.org/10.1007/s11606-008-0738-2

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  • DOI: https://doi.org/10.1007/s11606-008-0738-2

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