Self-Rated Health and Long-Term Prognosis of Depression

PURPOSE Indicators of prognosis should be considered to fully inform clinical decision making in the treatment of depression. This study examines whether self-rated health predicts long-term depression outcomes in primary care. METHODS Our analysis was based on the first 5 years of a prospective 10-year cohort study underway since January 2005 conducted in 30 randomly selected Australian primary care practices. Participants were 789 adult patients with a history of depressive symptoms. Main outcome measures include risks, risk differences, and risk ratios of major depressive syndrome (MDS) on the Patient Health Questionnaire. RESULTS Retention rates during the 5 years were 660 (84%), 586 (74%), 560 (71%), 533 (68%), and 517 (66%). At baseline, MDS was present in 27% (95% CI, 23%–30%). Cross-sectional analysis of baseline data showed participants reporting poor or fair self-rated health had greater odds of chronic illness, MDS, and lower socioeconomic status than those reporting good to excellent self-rated health. For participants rating their health as poor to fair compared with those rating it good to excellent, risk ratios of MDS were 2.10 (95% CI, 1.60–2.76), 2.38 (95% CI, 1.77–3.20), 2.22 (95% CI, 1.70–2.89), 1.73 (95% CI, 1.30–2.28), and 2.15 (95% CI, 1.59–2.90) at 1, 2, 3, 4, and 5 years, after accounting for missing data using multiple imputation. After adjusting for age, sex, multimorbidity, and depression status and severity, self-rated health remained a predictor of MDS up to 5 years. CONCLUSIONS Self-rated health offers family physicians an efficient and simple way to identify patients at risk of poor long-term depression outcomes and to inform therapeutic decision making.

[1]  C. Dowrick,et al.  Patients’ and doctors’ views on depression severity questionnaires incentivised in UK quality and outcomes framework: qualitative study , 2009, BMJ : British Medical Journal.

[2]  Anushka Ataullahjan,et al.  Life Course Perspectives on the Epidemiology of Depression , 2010, Canadian journal of psychiatry. Revue canadienne de psychiatrie.

[3]  Lena Osterhagen,et al.  Multiple Imputation For Nonresponse In Surveys , 2016 .

[4]  Yvonne Vergouwe,et al.  Prognosis and prognostic research: what, why, and how? , 2009, BMJ : British Medical Journal.

[5]  C. Sherbourne,et al.  Predicting outcomes of primary care patients with major depression: development of a depression prognosis index. , 2007, Psychiatric services.

[6]  Christopher Dowrick,et al.  Management of depression in UK general practice in relation to scores on depression severity questionnaires: analysis of medical record data , 2009, BMJ : British Medical Journal.

[7]  M. Kenward,et al.  Multiple imputation for missing data in epidemiological and clinical research: potential and pitfalls , 2009, BMJ : British Medical Journal.

[8]  Barbara J. Bowers,et al.  The Recognition of Depression: The Primary Care Clinician’s Perspective , 2005, The Annals of Family Medicine.

[9]  S. Thielke,et al.  Prevalence, incidence, and persistence of major depressive symptoms in the Cardiovascular Health Study , 2010, Aging & mental health.

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

[11]  A. Tylee,et al.  Managing depression in primary care: A meta-synthesis of qualitative and quantitative research from the UK to identify barriers and facilitators , 2011, BMC family practice.

[12]  C. Dolea,et al.  World Health Organization , 1949, International Organization.

[13]  F. Zitman,et al.  Sociodemographic and psychiatric determinants of attrition in the Netherlands Study of Depression and Anxiety (NESDA). , 2012, Comprehensive psychiatry.

[14]  P. Cuijpers,et al.  The course of untreated anxiety and depression, and determinants of poor one-year outcome: a one-year cohort study , 2010, BMC psychiatry.

[15]  Paolo Cassano,et al.  Depression and public health: an overview. , 2002, Journal of psychosomatic research.

[16]  G. Hawthorne,et al.  Changes in the Prevalence of Major Depression in an Australian Community Sample Between 1998 and 2008 , 2010, The Australian and New Zealand journal of psychiatry.

[17]  N. Kerse,et al.  Validation of PHQ-2 and PHQ-9 to Screen for Major Depression in the Primary Care Population , 2010, The Annals of Family Medicine.

[18]  J. Ware,et al.  A 12-Item Short-Form Health Survey: construction of scales and preliminary tests of reliability and validity. , 1996, Medical care.

[19]  D G Altman,et al.  What do we mean by validating a prognostic model? , 2000, Statistics in medicine.

[20]  Thomas M. Gill,et al.  The central role of prognosis in clinical decision making. , 2012, JAMA.

[21]  Patrick Royston,et al.  Multiple imputation using chained equations: Issues and guidance for practice , 2011, Statistics in medicine.

[22]  J. Hanley,et al.  The meaning and use of the area under a receiver operating characteristic (ROC) curve. , 1982, Radiology.

[23]  Mara A Schonberg,et al.  Prognostic indices for older adults: a systematic review. , 2012, JAMA.

[24]  A. Feigl,et al.  The Global Economic Burden of Noncommunicable Diseases , 2012 .

[25]  K. Hegarty,et al.  Who is identified when screening for depression is undertaken in general practice? Baseline findings from the Diagnosis, Management and Outcomes of Depression in Primary Care (diamond) longitudinal study , 2008, The Medical journal of Australia.

[26]  F. Zitman,et al.  Long-term follow-up of depression among patients in the community and in family practice settings. A systematic review. , 2000, The Journal of family practice.

[27]  P. Albert,et al.  Models for longitudinal data: a generalized estimating equation approach. , 1988, Biometrics.

[28]  R. Spitzer,et al.  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. , 1999, JAMA.

[29]  W. Katon,et al.  Major depression: the importance of clinical characteristics and treatment response to prognosis , 2010, Depression and anxiety.

[30]  K. Khaw,et al.  What determines Self-Rated Health (SRH)? A cross-sectional study of SF-36 health domains in the EPIC-Norfolk cohort , 2010, Journal of Epidemiology & Community Health.

[31]  A. Mitchell,et al.  Clinical diagnosis of depression in primary care: a meta-analysis , 2009, The Lancet.

[32]  R. Goldberg Depression in primary care , 1988, Journal of General Internal Medicine.

[33]  S. Patten,et al.  Predictors of long-term prognosis of depression , 2011, Canadian Medical Association Journal.

[34]  Joseph L Schafer,et al.  Robustness of a multivariate normal approximation for imputation of incomplete binary data , 2007, Statistics in medicine.

[35]  Yvonne Vergouwe,et al.  Prognosis and prognostic research: Developing a prognostic model , 2009, BMJ : British Medical Journal.

[36]  P. Royston,et al.  Prognosis and prognostic research: application and impact of prognostic models in clinical practice , 2009, BMJ : British Medical Journal.

[37]  R. Spitzer,et al.  The PHQ-9: A new depression diagnostic and severity measure , 2002 .

[38]  D. Patrick,et al.  Longitudinal investigation of depression outcomes in primary care in six countries: the LIDO Study. Functional status, health service use and treatment of people with depressive symptoms , 2002, Psychological Medicine.

[39]  M. Splaine,et al.  Use of the Reliable Change Index to evaluate clinical significance in SF-36 outcomes , 2002, Quality of Life Research.

[40]  R. Spitzer,et al.  The PHQ-9: validity of a brief depression severity measure. , 2001, Journal of general internal medicine.

[41]  J. Jenner,et al.  Accuracy of general practitioner's prognosis of the 1-year course of depression and generalised anxiety , 2001, British Journal of Psychiatry.

[42]  M. Goldberg,et al.  Longitudinal study of associations between perceived health status and self reported diseases in the French Gazel cohort , 2001, Journal of epidemiology and community health.

[43]  C. Dowrick,et al.  The association between chronic illness, multimorbidity and depressive symptoms in an Australian primary care cohort , 2012, Social Psychiatry and Psychiatric Epidemiology.

[44]  P. Blenkiron,et al.  Do general practitioners adhere to NICE guidelines for depression? Systematic Questionnaire Survey , 2009, Primary Health Care Research & Development.

[45]  J. Cunningham,et al.  Self-assessed health among indigenous Australians: how valid is a global question? , 2001, American journal of public health.

[46]  A. Mitchell,et al.  Acceptability of common screening methods used to detect distress and related mood disorders—preferences of cancer specialists and non‐specialists , 2008, Psycho-oncology.

[47]  K. Hegarty,et al.  How do Australian patients rate their general practitioner? A descriptive study using the General Practice Assessment Questionnaire , 2008, The Medical journal of Australia.

[48]  G. Simon Long-term prognosis of depression in primary care. , 2000, Bulletin of the World Health Organization.

[49]  P Oja,et al.  Self-rated health status as a health measure: the predictive value of self-reported health status on the use of physician services and on mortality in the working-age population. , 1997, Journal of clinical epidemiology.

[50]  Daniel J Tancredi,et al.  Mortality Prediction by Quality-Adjusted Life Year Compatible Health Measures: Findings in a Nationally Representative US Sample , 2011, Medical care.

[51]  Irwin Nazareth,et al.  The natural course and outcome of major depressive disorder in primary care: the PREDICT-NL study , 2010, Social Psychiatry and Psychiatric Epidemiology.

[52]  Yvonne Vergouwe,et al.  Prognosis and prognostic research: validating a prognostic model , 2009, BMJ : British Medical Journal.

[53]  I. Nazareth,et al.  Psychosocial and sociodemographic predictors of attrition in a longitudinal study of major depression in primary care: the predictD-Spain study , 2009, Journal of Epidemiology & Community Health.