Screening for Depression in Primary Care Kathryn M. Magruder, M.P.H., Ph.D. Derik E. Yeager, M.B.S. VA Medical Center Medical University of South Carolina.

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Screening for Depression in Primary Care Kathryn M. Magruder, M.P.H., Ph.D. Derik E. Yeager, M.B.S. VA Medical Center Medical University of South Carolina Charleston SC

Overview Epidemiology of depression in primary care Epidemiology of depression in primary care Which screening tool should be used? Which screening tool should be used? Implementing depression screening in primary care Implementing depression screening in primary care What developments are on the horizon? What developments are on the horizon? Conclusions Conclusions

Epidemiology: 1. Population Prevalence NCS-R: DSM-IV dx (12 month prevalence) NCS-R: DSM-IV dx (12 month prevalence) 9.5% any mood disorder 9.5% any mood disorder 6.7% MDD 6.7% MDD 19.5% mild 19.5% mild 50.1% moderate 50.1% moderate 30.4% serious 30.4% serious 1.5% dysthymia 1.5% dysthymia European 6-country study (12 month prevalence) European 6-country study (12 month prevalence) MDD 3.9% MDD 3.9% European meta-analysis (27 studies) (12 month prevalence) European meta-analysis (27 studies) (12 month prevalence) MDD % MDD %

Epidemiology: 2. Primary Care Prevalence Pre-DSM-III-R PC MDD prevalence: % Pre-DSM-III-R PC MDD prevalence: % WHO PPGHC (15 cities/14 countries) MDD (ICD10): 10.4% ( %) WHO PPGHC (15 cities/14 countries) MDD (ICD10): 10.4% ( %) Backenstrass et al. (2006) Backenstrass et al. (2006) 4.6% MDD 4.6% MDD 6.2% minor depression 6.2% minor depression 9.1% nonspecific depression sx 9.1% nonspecific depression sx

Primary Care: The de facto MH System ECA MDD (12 months prior) ECA MDD (12 months prior) 45% any health service 45% any health service 27.8% specialty mental health care 27.8% specialty mental health care 25.3% general medical sector 25.3% general medical sector NCS-R MDD (12 months prior) NCS-R MDD (12 months prior) 51.6%any health service 51.6%any health service 27.2%general medical sector 27.2%general medical sector 12.8% classified as mild 12.8% classified as mild 50-80% of all depression management in PC 50-80% of all depression management in PC

Recognition of Depression: The Primary Care Irony General medical settings: primary venue for treating depression (and other mental disorders) General medical settings: primary venue for treating depression (and other mental disorders) <50% with MDD are diagnosed in PC <50% with MDD are diagnosed in PC Magruder et al. VA sample of 819: 52% correct dx of depression (MDD, NOS, dysthymia) Magruder et al. VA sample of 819: 52% correct dx of depression (MDD, NOS, dysthymia) WHO PPGHS: 54.2% (range 19.3%-74.0%) with depression correctly recognized as having psychological illness WHO PPGHS: 54.2% (range 19.3%-74.0%) with depression correctly recognized as having psychological illness

Which Screening Tool? 1. Standard Screeners ToolScope # Items Min.Self BDI Sx severity today 7, 13, or yes CES-D Sx frequency past wk 10 or yes GDS Sx endorsement past wk 15 or ID Sx recently SDS Sx frequency recently 202-5yes

Which Screening Tool? 2. Short Screeners ToolScope # Items Min.Self HADS Sx severity past wk 14 <2<2<2<2 MOS-D Sx frequency past wk 8<2yes PHQ Sx frequency past 2 wk 9<2yes

Which Screening Tool? 3. Ultra-Short/Ultra-Brief Screeners ToolScope # Items Min.Self PRIME-MD (PHQ-2) Sx past month 21-2yes SDDS-PC 51-2

Two-stage Approaches Combine screening and diagnosis Combine screening and diagnosis Quick screen (“stem” questions) Quick screen (“stem” questions) Dx modules for screen+ patients Dx modules for screen+ patients SDDS-PC SDDS-PC PRIME-MD PRIME-MD

Screening for General Emotional Distress ToolScope # Items Min.Self WHO-5 Degree of well-being 5 GHQ General psychiatric distress; sx frequency past week 12, 28, or yes HSCL General distress; sx frequency past wk 13 or

Screening for Multiple Disorders General screener – 1-2 items/disorder General screener – 1-2 items/disorder Anxiety & Depression Detector (ADD) (Means- Christensen et al., 2006): 5 questions Anxiety & Depression Detector (ADD) (Means- Christensen et al., 2006): 5 questions Panic d/o Panic d/o PTSD PTSD Social phobia Social phobia GAD GAD MDD MDD

Severity Ratings Beyond case-finding Beyond case-finding Evaluate treatment response/effectiveness Evaluate treatment response/effectiveness Helps with “watchful waiting” for at risk patients with subthreshold or minor depression Helps with “watchful waiting” for at risk patients with subthreshold or minor depression Administer screeners repeatedly Administer screeners repeatedly Sx changes Sx changes Examples Examples Zung SDS Zung SDS PHQ-9 PHQ-9

Implementing Screening in Primary Care Consider: Consider: Screening instrument performance characteristics Screening instrument performance characteristics Clinical context Clinical context Underlying non-psychiatric case-mix Underlying non-psychiatric case-mix Overall staffing patterns Overall staffing patterns Underling prevalence of depression Underling prevalence of depression With above parameters, can estimate resource use for various implementation strategies With above parameters, can estimate resource use for various implementation strategies

1-Stage Screening Approach 5% Prevalence 80% Sensitivity, 80% Specificity Gold Standard MDD + MDD - PHQ True Positive False Positive Screen Positive PHQ False Negative True Negative Screen Negative MDD Positive MDD Negative Total Sample PPV: 40/230 = 17.4%. For every 100 screen positives, only approximately 17 would be depressed Excess diagnostic burden: 190/1000 = 19%. Diagnostic assessment would be performed on 190 patients who were not depressed.

1-Stage Screening Approach 10% Prevalence 80% Sensitivity, 80% Specificity Gold Standard MDD + MDD - PHQ True Positive False Positive Screen Positive PHQ False Negative True Negative Screen Negative MDD Positive MDD Negative Total Sample PPV: 80/260 = 30.8%. For every 100 screen positives, only approximately 31 would be depressed Excess diagnostic burden: 180/1000 = 18%. Diagnostic assessment would be performed on 180 patients who were not depressed.

1-Stage Screening Approach 20% Prevalence 80% Sensitivity, 80% Specificity Gold Standard MDD + MDD - PHQ True Positive False Positive Screen Positive PHQ False Negative True Negative Screen Negative MDD Positive MDD Negative Total Sample PPV: 160/320 = 50%. For every 100 screen positives, only approximately 50 would be depressed Excess diagnostic burden: 160/1000 = 16%. Diagnostic assessment would be performed on 160 patients who were not depressed.

Performance of a One-Stage Screening Approach Prevalence # Cases PPV Excess Excess Diagnostic Diagnostic Burden Burden 5% % % Sample size: 1000 Sensitivity: 80% Specificity: 80%

2-Stage Screening Approach 5% Prevalence Gold Standard Total MDD +MDD - 95% Sensitivity, 60% Specificity Stage I 95% Sensitivity, 60% Specificity PPV: 48/428 = 11.2%. For every 100 screen positives, approximately 11 would be depressed Screen True PositiveFalse PositiveScreen Positive Screen False NegativeTrue NegativeScreen Negative MDD PositiveMDD NegativeTotal Sample 80% Sensitivity, 80% Specificity Stage II 80% Sensitivity, 80% Specificity PPV: 38/114 = 33.3%. For every 100 screen positives, approximately 33 would be depressed Excess diagnostic burden: 76/1000 = 7.6%. Diagnostic assessment would be performed on 76 patients who were not depressed. Screen True PositiveFalse PositiveScreen Positive Screen False NegativeTrue NegativeScreen Negative MDD PositiveMDD NegativeTotal Sample

2-Stage Screening Approach 10% Prevalence Gold Standard Total MDD +MDD - 95% Sensitivity, 60% Specificity Stage I 95% Sensitivity, 60% Specificity PPV: 95/455 = 20.9%. For every 100 screen positives, approximately 21 would be depressed Screen True PositiveFalse PositiveScreen Positive Screen False NegativeTrue NegativeScreen Negative MDD PositiveMDD NegativeTotal Sample 80% Sensitivity, 80% Specificity Stage II 80% Sensitivity, 80% Specificity PPV: 76/148 = 51.4%. For every 100 screen positives, approximately 51 would be depressed Excess diagnostic burden: 72/1000 = 7.2%. Diagnostic assessment would be performed on 72 patients who were not depressed. Screen True PositiveFalse PositiveScreen Positive Screen False NegativeTrue NegativeScreen Negative MDD PositiveMDD NegativeTotal Sample

2-Stage Screening Approach 20% Prevalence Gold Standard Total MDD +MDD - 95% Sensitivity, 60% Specificity Stage I 95% Sensitivity, 60% Specificity PPV: 190/510 = 37.3%. For every 100 screen positives, approximately 37 would be depressed Screen True PositiveFalse PositiveScreen Positive Screen False NegativeTrue NegativeScreen Negative MDD PositiveMDD NegativeTotal Sample 80% Sensitivity, 80% Specificity Stage II 80% Sensitivity, 80% Specificity PPV: 152/216 = 70.4%. For every 100 screen positives, approximately 70 would be depressed Excess diagnostic burden: 64/1000 = 6.4%. Diagnostic assessment would be performed on 64 patients who were not depressed. Screen True PositiveFalse PositiveScreen Positive Screen False NegativeTrue NegativeScreen Negative MDD PositiveMDD NegativeTotal Sample

Performance of a Two-Stage Screening Approach Prevalence # Cases PPV Excess Excess Diagnostic Diagnostic Burden Burden5% % % Sample size: 1000 Sensitivity: 95% (Stage I); 80% (Stage II) Specificity: 60% (Stage I); 80% (Stage II)

Screening Burden by Task

Single Stage Screening Approach (Sensitivity: 80%, Specificity 80%) Time Burden (min) MDD Prevalence 5%10%20% Screening (Patient) 2,000 (1000*2) Scoring (Staff) 2,000 (1000*2) Screening Yield 23.0% (230/1000) 26.0% (260/1000) 32.0% (320/1000) Diagnostic Interview Patient Patient 4,600 (230*20) 5,200 (260*20) 6,400 (320*20) Provider Provider 4,600 (230*20) 5,200 (260*20) 6,400 (320*20) PPV 17.4% (40/230) 30.8% (80/260) 50% (160/320)

Two Stage Screening Approach: Stage I (Sensitivity: 95%, Specificity 60%) Stage II (Sensitivity: 80%, Specificity 80%) Time Burden (min) MDD Prevalence 5%10%20% Screening (Patient) 1000 (1000*1) Scoring (Staff) 1000 (1000*1) Screening Yield 42.8% (428/1000) 45.5% (455/1000) 51.0% (510/1000) Screening (Patient) 856 (428*2) 910 (455*2) 1,020 (510*2) Scoring (Staff) 856 (428*2) 910 (455*2) 1,020 (510*2) Screening Yield 26.6% (114/428) 32.5% (148/455) 42.4% (216 /510) Diagnostic Interview Patient Patient 2,280 (114*20) 2,960 (148*20) 4,320 (216*20) Provider Provider 2,280 (114*20) 2,960 (148*20) 4,320 (216*20) PPV 33.3% (38/114) 51.4% (76/148) 70.4% (152/216) Stage I Stage II

Comparison of Patient, Staff, and Provider Time (min) for One and Two Stage Screeners MDD Prevalence 5%10%20% One Stage Two Stage One Stage Two Stage One Stage Two Stage Patient6,6004,1367,2004,8708,4006,340 Staff2,0001,8562,0001,9102,0002,020 Provider4,6002,2805,2002,9606,4004,320

What Developments Are on the Horizon? Increasing acceptance of screening (USPSTF) Increasing acceptance of screening (USPSTF) Reduce stigma Reduce stigma Improve screening benefit/cost ratio Improve screening benefit/cost ratio Improve tx outcomes Improve tx outcomes Reduce screening time Reduce screening time Reduce clinician and staff time by modifying screening modality Reduce clinician and staff time by modifying screening modality Patient self-administered computerized screens Patient self-administered computerized screens Automated EMR screening reminders Automated EMR screening reminders 2-stage screening process 2-stage screening process Dedicated nurses for screening & dx (also case-management) Dedicated nurses for screening & dx (also case-management) Screening for multiple psychiatric disorders Screening for multiple psychiatric disorders Screening less often (e.g., 2-5 years instead of every year) Screening less often (e.g., 2-5 years instead of every year)

Conclusions Improvements in depression screening have paralleled improvements in depression treatment and reduced stigma Improvements in depression screening have paralleled improvements in depression treatment and reduced stigma PCPs have embraced responsibility for screening, recognizing, and treating depression PCPs have embraced responsibility for screening, recognizing, and treating depression For additional efficiencies, we will need For additional efficiencies, we will need Advances in technology (e.g., computerized screening and scoring) Advances in technology (e.g., computerized screening and scoring) Improved tx outcomes Improved tx outcomes