Course of depression, health services costs, and work productivity in an international primary care study

Abstract The L ongitudinal I nvestigation of D epression O utcomes ( LIDO ) Study examined the outcomes and economic correlates of previously untreated depression among primary care patients in Barcelona, Spain; Be'er Sheva, Israel; Melbourne, Australia; Porto Alegre, Brazil; St. Petersburg, Russia; and Seattle, USA. Across all sites, 968 patients with current depressive disorder completed assessments of depression severity (Composite International Diagnostic Interview and Center for Epidemiologic Studies Depression Scale) at baseline and 9 months, and assessments of health services utilization and work days missed at baseline, 9 months, and 12 months. Follow-up depression status was characterized as persistent depression ( n = 345), partial remission ( n = 283), or full remission ( n = 340). At each site, patients with more favorable depression outcomes had fewer days missed from work; however, this relationship did not reach the 5% level of statistical significance at any site, and reached the 10% significance level only at Porto Alegre. Patients with more favorable depression outcomes also had lower health services costs, but this relationship reached the 5% significance level only in St. Petersburg. While the lack of statistical precision does not permit definitive conclusions, our findings are consistent with recent studies showing that recovery from depression is associated with lower health services costs and less time missed from work due to illness.

[1]  Helen Herrman,et al.  Longitudinal Investigation of Depression Outcomes (the LIDO study) in primary care in six countries: comparative assessment of local health systems and resource utilization , 2001 .

[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. Katon,et al.  Recovery from depression, work productivity, and health care costs among primary care patients. , 2000, General hospital psychiatry.

[4]  Michael VonKorff,et al.  Randomised trial of monitoring, feedback, and management of care by telephone to improve treatment of depression in primary care , 2000, BMJ : British Medical Journal.

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

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

[7]  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.

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

[9]  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.

[10]  K Kroenke,et al.  Health-related quality of life in primary care patients with mental disorders. Results from the PRIME-MD 1000 Study. , 1995, JAMA.

[11]  G. Simon,et al.  Health care costs of primary care patients with recognized depression. , 1995, Archives of general psychiatry.

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

[13]  J Ormel,et al.  Health care costs associated with depressive and anxiety disorders in primary care. , 1995, The American journal of psychiatry.

[14]  L. Mynors-Wallis,et al.  Randomised controlled trial comparing problem solving treatment with amitriptyline and placebo for major depression in primary care , 1995, BMJ.

[15]  G. E. Simon,et al.  The accuracy of self-reported disability days. , 1994, Medical care.

[16]  E. Berndt,et al.  The economic burden of depression in 1990. , 1993, The Journal of clinical psychiatry.

[17]  W. Katon,et al.  Depression, anxiety, and social disability show synchrony of change in primary care patients. , 1993, American journal of public health.

[18]  J. Mintz,et al.  Treatments of depression and the functional capacity to work. , 1992, Archives of general psychiatry.

[19]  J Ormel,et al.  Disability and depression among high utilizers of health care. A longitudinal analysis. , 1992, Archives of general psychiatry.

[20]  L. George,et al.  Depression, disability days, and days lost from work in a prospective epidemiologic survey. , 1990, JAMA.

[21]  S. Harlow,et al.  Agreement between questionnaire data and medical records. The evidence for accuracy of recall. , 1989, American journal of epidemiology.

[22]  A. Farmer,et al.  The Composite International Diagnostic Interview. An epidemiologic Instrument suitable for use in conjunction with different diagnostic systems and in different cultures. , 1988, Archives of general psychiatry.

[23]  D. Blazer,et al.  The economic burden of depression. , 1986, General hospital psychiatry.

[24]  L Appleton,et al.  A reason for visit classification for ambulatory care. , 1979, Vital and health statistics. Series 2, Data evaluation and methods research.

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

[26]  M. Knapp Economic Evaluation of Mental Health Care , 2001 .

[27]  J. Beecham Collecting and estimating costs , 1995 .

[28]  J Ormel,et al.  Common mental disorders and disability across cultures. Results from the WHO Collaborative Study on Psychological Problems in General Health Care. , 1994, JAMA.

[29]  Simon Ge Psychiatric disorder and functional somatic symptoms as predictors of health care use. , 1992 .

[30]  L. Covi,et al.  The Hopkins Symptom Checklist (HSCL). A measure of primary symptom dimensions. , 1974, Modern problems of pharmacopsychiatry.