substance abuse disorders in primary care improving evidence based practice
DESCRIPTION
David W. Oslin, MD University of Pennsylvania, School of Medicine And Philadelphia, VAMC. Substance Abuse Disorders in Primary Care Improving Evidence Based Practice. Hazelden Research Co-Chair on Late Life Addictions. Which Hat?. Geriatrics. Addictions. Primary Care. Introduction . - PowerPoint PPT PresentationTRANSCRIPT
Substance Abuse Disorders in Primary Care Substance Abuse Disorders in Primary Care Improving Evidence Based PracticeImproving Evidence Based Practice
David W. Oslin, MDUniversity of Pennsylvania, School of Medicine
And
Philadelphia, VAMC
Hazelden Research Co-Chair on Late Life Addictions
Which Hat?Which Hat?
Geriatrics
Primary Care
Addictions
Introduction Introduction Alcohol use and abuse costs the nation $150
Billion / annum
Alcohol use and abuse is common in primary care practices
Very little research has focused on illicit substance use disorders in the context of primary care
90-Day Prevalence in Primary Care90-Day Prevalence in Primary Care(n=21,282 patients in 88 primary care clinician offices)(n=21,282 patients in 88 primary care clinician offices)
Manwell, et al. Journal of Addictive Diseases. 1997;17:67-81.
Low-risk Drinkers
38%Abstainers
40%
At-risk Drinkers 9%
Problem Drinkers 8% Alcohol
Dependent 5%
The Bad NewsThe Bad News
Individuals with alcohol disorders or problem drinking who seek help
ECA: 11% specialty mental health/addictive services; 8% voluntary support network
NLAES: 10% RAS: 7%-10%
Rates of Early Drop-out from Alcoholism Treatment (less than four sessions) range from 44 - 75%
Breaking down the ProblemBreaking down the Problem
Identification
Assessment
Initial Intervention
Referral and Follow-up
How is Identification Accomplished? How is Identification Accomplished?
Systems VA, Kaiser, Group Health
Individual Practitioners
State, City, other agencies
Examples: Screening InstrumentsExamples: Screening Instruments
Michigan Alcoholism Screening Test (MAST)
Health Screening Survey (including other health behaviors, e.g. nutrition, exercise, smoking, depressed feelings)
CAGE (Cut down, Annoyed by others, feel Guilty, need ‘Eye-opener’)
AUDIT-C/AUDIT
Identify What?Identify What?
Abstinence
Moderate Drinking
At – risk drinking
Problem drinking / alcohol abuse
Alcohol Dependence
VA ExperienceVA Experience
Prior to 2003 – CAGE
11/03 AUDIT-C 2781 screens in those that drink over a 4
month period 32.6% positive
The First ChallengeThe First Challenge
Assessing individuals to understand what level of care is needed
BEHAVIORAL HEALTH
LAB
Research to Practice:Research to Practice:Behavioral Health LaboratoryBehavioral Health Laboratory
BHL is designed to provide clinical services to support providers in Primary Care and Behavioral Health
It is intended to be analogous to Clinical Chemistry or Radiology Laboratories
The BHL is an automated telephone assessment, triage, and monitoring service for patients identified by primary care providers as having depressive symptoms or at-risk drinking.
The BHL conducts a brief telephone (20-30 minutes) assessment generating a report for the PCP including diagnosis, severity, and general treatment recommendations.
How it works at the PVAMCHow it works at the PVAMC
Mechanisms for requesting an assessment Screening Referral Disease management
The BHL receives a printed consult request.
The BHL reports findings, provides interpretation, and recommendations.
Where appropriate, BHL staff facilitate referral or the appropriate level of intervention.
What does the Service Provide?What does the Service Provide?
Assessment of major illnesses – depression, anxiety, substance use
Screening for other domains – cognition, smoking, psychosis, mania
Initial Treatment recommendations Patient engagement Monitoring of initial treatment for depression –
adherence, adverse effects, symptoms
BHL FlowBHL FlowAnnual Screening Direct consult New treatment for depression
Consult request
Full Assessment
Referral to ARU
Recommendations to PCP and Patient
At-Risk DrinkerReferral to Specific Research
No Treatment Recommended
Brief Intervention Watchful Waiting – 8 weeks
Referral Management
ReferralsReferrals
0
50
100
150
200
250
300
Feb Apr June Aug Oct Dec Feb
5 Month Referral Success5 Month Referral Success
Total Referred for Depression
Referred forAlcohol
Referred for Depression &
Alcohol
p value
Sample size N=605 N=472 N=75 N=58Percentage of total cases
100.0 78.0 12.4 9.6
Completed Interviews (% within category)
74.0 75.2 64.0 77.6 0.263
Age >65 (% ) 20.8 23.3 16.0 6.9 0.008
Characteristics of PatientsCharacteristics of Patients
Referred for Depression
Referred forAlcohol
Depression & Alcohol
p value
N=355 N=48 N=45Age (% > 65) 21.4 14.6 8.9 .091Race (% White) 45.9 27.1 26.7 .004MDD 45.0 25.6 55.8 .014Alcohol dependence 7.1 39.6 51.1 .000Anxiety disorder (Panic or PTSD) 21.5 6.3 31.1 .010Psychosis 13.6 10.4 26.7 .044
Mania 7.9 2.1 17.8 .020High Risk Suicide 14.5 11.6 20.9 .439In MH/SA care (last 12 months) 27.3 14.6 22.2 .379On antidepressant 38.1 23.3 23.3 .036
Does the BHL change practice?Does the BHL change practice?
25% reduction in the number of patient not screened for depression
10% increase in the screen positive rate for depression
Significant increase in the identification of patients with suicidal ideation
Possible improvement in EPRP measures for depression
Engagement in CareEngagement in Care
Overall Required an appointment
Requested an
appointment
p value
Patients needing an appointment (% of total # of assessments)
N=254(44.3%)
N=200(35.0%)
N=54(9.3%)
Patients refusing appointment 12.5%
Proportion seen in MH/SA care within 3 months of the BHL assessment
N=119(55.0%)
N=92 (52.6%)
N=27(50.0%)
0.741
Proportion seen in primary care within 3 months of BHL assessment
N=117(51.1%)
N=87(49.7%)
N=30(55.6%)
0.453
ConclusionsConclusions
BHL is a flexible, evidence based program Fills gaps in the VHA system Provides valid information and documentation
Acceptable to veterans Valued by provider
Can function at low cost across diverse settings Useful for outreach Can provide coordination as well as assessment
Disease Management Referral Management
Valuable as a tool for improving system performance
But?But?
The number of patients referred doesn’t match those assessed.
Referrals for depressionReferrals for depression
3008 already in MH/SA care
17,543 Patients Screened
1232 positive screens (7%)
740 Patients referred to the BHL (60%)
104 Unable to contact (14.1%)56 Refused 7.6%)
580 Completed Assessment
Referrals for Alcohol MisuseReferrals for Alcohol Misuse
In MH/SA care not an option
2781 patients who drank screened
906 positive screens (32.6%)
118 Patients referred to the BHL (13%)
17 Unable to contact (14.4%)7 Refused (5.9%)
94 Completed Assessment
What about the Instrument?What about the Instrument?
Q#1: How often did you have a drink containing alcohol in the past year?
Never (0 points)
Monthly or less (1 point)
Two to four times a month (2 points)
Two to three times per week (3 points)
Four or more times a week (4 points)
What about the Instrument?What about the Instrument?
Q#2: How many drinks did you have on a typical day when you were drinking in the past year?
1 or 2 (0 points)
3 or 4 (1 point)
5 or 6 (2 points)
7 to 9 (3 points)
10 or more (4 points)
What about the Instrument?What about the Instrument?
Q#3: How often did you have six or more drinks on one occasion in the past year?
Never (0 points)
Less than monthly (1 point)
Monthly (2 points)
Weekly (3 points)
Daily or almost daily (4 points)
Is the Screener to “sensitive”Is the Screener to “sensitive”
0
10
20
30
40Pe
rcen
tage
of B
HL
Ref
erra
l
4.00 5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00
Total AUDIT-C Score
2 Drinks/day 3-4 Drinks/day with binges 10+ Drinks/day
Does the Type of Provider Matter?Does the Type of Provider Matter?
0
5
10
15
20
Perc
enta
ge o
f BH
L R
efer
ral
Type of Primary Care Clinician
Other MD CRNP/PA Residents/ Fellows
Choices:MDCRNP/PAResidents/ FellowsOther
Do Clinician Beliefs Matter?Do Clinician Beliefs Matter?
Low Referral Pattern
(n=19)
Moderate Referral Pattern
(n=10)Age 46.8 46.9
Gender (% female) 78 50
Provider type (%CRNP or PA)
63 20
Do Clinician Beliefs Matter?Do Clinician Beliefs Matter?
Low Referral Pattern
(n=19)
Moderate Referral Pattern
(n=10)Beneficial Drinking 6.2 3.2
Inpatient - Yeah! 78 40
Outpatient - Yeah! 67 90
Starting a New PracticeStarting a New Practice
Identify a thought leader / Champion Define practice specific needs – screening, referral, resources
Define practice specific procedures
Announce the availability of the service Face-to-face Email Letters / Brochures
Other Marketing StrategiesOther Marketing Strategies
Business cards for patients Business cards for
providers ELM interface Listing of providers Staff in practice / Screening
of patients 877 number
Pens Sticky pads Business size card for
computer Monthly email reminders Clinic feedback In-service by staff on MH/SA
topics Website
A Platform for other activitiesA Platform for other activities
Telephone disease management for problem drinking Supported by VA HSR&D
Developing watchful waiting strategies Supported by Robert Wood Johnson Foundation
ExTENd – Use of naltrexone in managing alcohol dependence Supported by NIAAA – R01
DIADS – depression of Alzheimer’s disease Supported by NIMH R01
Family caregiver Support
Depression Treatment Monitoring
PTSD
Referral Management