Cost-effectiveness of practice-initiated quality improvement for depression: results of a randomized controlled trial.

CONTEXT Depression is a leading cause of disability worldwide, but treatment rates in primary care are low. OBJECTIVE To determine the cost-effectiveness from a societal perspective of 2 quality improvement (QI) interventions to improve treatment of depression in primary care and their effects on patient employment. DESIGN Group-level randomized controlled trial conducted June 1996 to July 1999. SETTING Forty-six primary care clinics in 6 community-based managed care organizations. PARTICIPANTS One hundred eighty-one primary care clinicians and 1356 patients with positive screening results for current depression. INTERVENTIONS Matched practices were randomly assigned to provide usual care (n = 443 patients) or to 1 of 2 QI interventions offering training to practice leaders and nurses, enhanced educational and assessment resources, and either nurses for medication follow-up (QI-meds; n = 424 patients) or trained local psychotherapists (QI-therapy; n = 489). Practices could flexibly implement the interventions, which did not assign type of treatment. MAIN OUTCOME MEASURES Total health care costs, costs per quality-adjusted life-year (QALY), days with depression burden, and employment over 24 months, compared between usual care and the 2 interventions. RESULTS Relative to usual care, average health care costs increased $419 (11%) in QI-meds (P =.35) and $485 (13%) in QI-therapy (P =.28); estimated costs per QALY gained were between $15 331 and $36 467 for QI-meds and $9478 and $21 478 for QI-therapy; and patients had 25 (P =.19) and 47 (P =.01) fewer days with depression burden and were employed 17.9 (P =.07) and 20.9 (P =.03) more days during the study period. CONCLUSIONS Societal cost-effectiveness of practice-initiated QI efforts for depression is comparable with that of accepted medical interventions. The intervention effects on employment may be of particular interest to employers and other stakeholders.

[1]  Nicole A. Lazar,et al.  Statistical Analysis With Missing Data , 2003, Technometrics.

[2]  W. Manning,et al.  Cost-effectiveness of systematic depression treatment for high utilizers of general medical care. , 2001, Archives of general psychiatry.

[3]  W A Hargreaves,et al.  Efficacy of nurse telehealth care and peer support in augmenting treatment of depression in primary care. , 2000, Archives of family medicine.

[4]  C. Sherbourne,et al.  Estimation of utilities for the effects of depression from the SF-12. , 2000, Medical care.

[5]  W. Katon,et al.  Quality Adjusted Life Years in Older Adults With Depressive Symptoms and Chronic Medical Disorders , 2000, International Psychogeriatrics.

[6]  Michael J. Campbell,et al.  Effects of a clinical-practice guideline and practice-based education on detection and outcome of depression in primary care: Hampshire Depression Project randomised controlled trial , 2000, The Lancet.

[7]  C. Sherbourne,et al.  Impact of disseminating quality improvement programs for depression in managed primary care: a randomized controlled trial. , 2000, JAMA.

[8]  C. Sherbourne,et al.  Functioning and utility for current health of patients with depression or chronic medical conditions in managed, primary care practices. , 1999, Archives of general psychiatry.

[9]  J. Unützer,et al.  Health care utilization and costs among patients treated for bipolar disorder in an insured population. , 1999, Psychiatric services.

[10]  W. Katon,et al.  Effectiveness research and implications for study design: sample size and statistical power. , 1999, General hospital psychiatry.

[11]  Catherine A. Sugar,et al.  Empirically defined health states for depression from the SF-12. , 1998, Health services research.

[12]  M. Mcgrath Cost Effectiveness in Health and Medicine. , 1998 .

[13]  J. Lave,et al.  Cost-effectiveness of treatments for major depression in primary care practice. , 1998, Archives of general psychiatry.

[14]  W. Manning,et al.  The logged dependent variable, heteroscedasticity, and the retransformation problem. , 1998, Journal of health economics.

[15]  W. Katon,et al.  Treatment Costs, Cost Offset, and Cost-Effectiveness of Collaborative Management of Depression , 1998, Psychosomatic medicine.

[16]  D A Revicki,et al.  Patient-assigned health state utilities for depression-related outcomes: differences by depression severity and antidepressant medications. , 1998, Journal of affective disorders.

[17]  Joseph L Schafer,et al.  Analysis of Incomplete Multivariate Data , 1997 .

[18]  W. Katon,et al.  Depressive symptoms and the cost of health services in HMO patients aged 65 years and older. A 4-year prospective study. , 1997, JAMA.

[19]  J. Lave,et al.  Treating major depression in primary care practice. Eight-month clinical outcomes. , 1996, Archives of general psychiatry.

[20]  K. Kobak,et al.  Medical costs attributed to depression among patients with a history of high medical expenses in a health maintenance organization. , 1996, Archives of general psychiatry.

[21]  W. Katon,et al.  A multifaceted intervention to improve treatment of depression in primary care. , 1996, Archives of general psychiatry.

[22]  Tammy O. Tengs,et al.  Five-hundred life-saving interventions and their cost-effectiveness. , 1995, Risk analysis : an official publication of the Society for Risk Analysis.

[23]  W. Katon,et al.  Collaborative management to achieve treatment guidelines. Impact on depression in primary care. , 1995, JAMA.

[24]  G. Simon,et al.  Recognition, management, and outcomes of depression in primary care. , 1995, Archives of family medicine.

[25]  K. Wells,et al.  How can care for depression become more cost-effective? , 1995, JAMA.

[26]  K Kroenke,et al.  Utility of a new procedure for diagnosing mental disorders in primary care. The PRIME-MD 1000 study. , 1994, JAMA.

[27]  R. Klein,et al.  The Beaver Dam Health Outcomes study , 1993, Medical decision making : an international journal of the Society for Medical Decision Making.

[28]  R. Little Pattern-Mixture Models for Multivariate Incomplete Data , 1993 .

[29]  W. Katon,et al.  Epidemiology of depression in primary care. , 1992, General hospital psychiatry.

[30]  A. Stewart,et al.  The functioning and well-being of depressed patients. Results from the Medical Outcomes Study. , 1989, JAMA.

[31]  D. Rubin,et al.  Statistical Analysis with Missing Data. , 1989 .

[32]  N. Duan Smearing Estimate: A Nonparametric Retransformation Method , 1983 .

[33]  C. Morris,et al.  A Comparison of Alternative Models for the Demand for Medical Care , 1983 .

[34]  L. Radloff The CES-D Scale , 1977 .

[35]  Rupert G. Miller Simultaneous Statistical Inference , 1967 .

[36]  E B Keeler,et al.  The value of remaining lifetime is close to estimated values of life. , 2001, Journal of health economics.

[37]  C. Sherbourne,et al.  The quality of care for depressive and anxiety disorders in the United States. , 2001, Archives of general psychiatry.

[38]  R. F. Muñoz,et al.  Manual de Terapia de Grupo para el Tratamiento Cognitivo-Conductual Depresión , 2000 .

[39]  R. Muñoz,et al.  Group Therapy Manual for Cognitive-Behavioral Treatment of Depression: , 2000 .

[40]  T. Patterson,et al.  Preliminary longitudinal assessment of quality of life in patients with major depression. , 1997, Psychopharmacology bulletin.

[41]  C. Sherbourne,et al.  Caring for depression , 1996 .

[42]  Alan D. Lopez,et al.  The global burden of disease: a comprehensive assessment of mortality and disability from diseases injuries and risk factors in 1990 and projected to 2020. , 1996 .