A Working Seminar with the Kansas Comprehensive Needs Assessment - - PowerPoint PPT Presentation

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A Working Seminar with the Kansas Comprehensive Needs Assessment - - PowerPoint PPT Presentation

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A Working Seminar with the Kansas Comprehensive Needs Assessment P. Allison Minugh, Ph.D. Susan Janke, M.S. Nicoletta Lomuto, M.A. Prepared by Datacorp Innovative Research and Design Consultants Seminar Goals Seminar Goals Interpret data

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SLIDE 1

A Working Seminar

with the

Kansas Comprehensive Needs Assessment

  • P. Allison Minugh, Ph.D.

Susan Janke, M.S. Nicoletta Lomuto, M.A.

Prepared by Datacorp Innovative Research and Design Consultants

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SLIDE 2

Seminar Goals Seminar Goals

  • Interpret data for treatment planning

Interpret data for treatment planning

  • Use data to justify treatment needs

Use data to justify treatment needs

  • Increase collaborative planning

Increase collaborative planning

  • Devise comprehensive regional services

Devise comprehensive regional services

DATACORP • Innovative Research and Design Consultants

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SLIDE 3

Needs Assessment Tools Needs Assessment Tools

  • Synthetic Estimate Reports

Synthetic Estimate Reports

  • Social Indicator Report

Social Indicator Report

  • Capacity/Gap Analysis

Capacity/Gap Analysis

  • April 7 Presentation

April 7 Presentation

  • Executive Summary

Executive Summary

  • Unmet Need Brief

Unmet Need Brief

  • Treatment Planning Posters

Treatment Planning Posters

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http:/ / www.srskansas.org/ hcp/ aaps/ AAPSTreatmentNeedsAssessmentStudy.htm

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Key Findings

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Number in Need % in Need Adults 200,581 10% Adolescents 24,574 10%

Statewide Treatment Need Statewide Treatment Need

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AAPS Eligible AAPS Eligible

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68% 32% Ineligible Eligible 72% 28% Ineligible Eligible

Adults Adolescents

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Need Exceeds Treatment Need Exceeds Treatment

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225,155 People in Need 70,500 People Eligible 12,791 People Treated

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Impact of Unmet Need

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Substance Abuse is Everybody’s Substance Abuse is Everybody’s Problem Problem

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Recent Statistics Recent Statistics

  • 35,622 arrests

35,622 arrests

  • 16,645 hospitalizations

16,645 hospitalizations

  • 3,393 alcohol

3,393 alcohol-

  • related motor vehicle accidents

related motor vehicle accidents

  • 965 deaths

965 deaths

  • 408 involuntary commitments

408 involuntary commitments

  • 9,131 youth in out

9,131 youth in out-

  • of
  • f-
  • home placements

home placements

  • 1,679 HIV/AIDS cases

1,679 HIV/AIDS cases

DATACORP • Innovative Research and Design Consultants

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Treatment Works and Saves Money Treatment Works and Saves Money

  • Drug use, criminal activity, and psychiatric

Drug use, criminal activity, and psychiatric distress reduced by 50% distress reduced by 50% (SAMHSA, 2006)

(SAMHSA, 2006)

  • Treatment ROI is $7

Treatment ROI is $7 (

(Ettner Ettner et al., 2006) et al., 2006)

  • Prison is 1.8 times as expensive as

Prison is 1.8 times as expensive as residential treatment residential treatment (Daley et al., 2004)

(Daley et al., 2004)

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System Pressures and Capacity

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Adults

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Involuntary Commitments Involuntary Commitments

Total Involuntary Commitment Clients 0 to 2 3 to 6 7 to 10 11 to 14 15 to 60

DATACORP • Innovative Research and Design Consultants Detox

Total Involuntary Commitment Clients 0 to 2 3 to 6 7 to 10 11 to 14 15 to 60

Intermediate

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Drug and Alcohol Arrests Drug and Alcohol Arrests

DATACORP • Innovative Research and Design Consultants Intensive Outpatient Intermediate

Rate Per 10,000 Adults 0 to 20 21 to 40 41 to 60 61 to 80 81 to 179 Rate Per 10,000 Adults 0 to 20 21 to 40 41 to 60 61 to 80 81 to 179

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Meth Lab Seizures Meth Lab Seizures

Average Meth Lab Seizures 0 to 2 3 to 6 7 to 10 11 to 14 15 to 53

DATACORP • Innovative Research and Design Consultants Intensive Outpatient Intermediate

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Out of Home Placements Out of Home Placements

Number of Youth in Out of Home Placement 0 to 30 31 to 60 61 to 90 91 to 120 121 to 1,500

DATACORP • Innovative Research and Design Consultants Intensive Outpatient Intermediate

Number of Youth in Out of Home Placement 0 to 30 31 to 60 61 to 90 91 to 120 121 to 1,500

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Adolescents

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Drug Arrests Drug Arrests

Rate Per 10,000 Youth 0 to 15 16 to 30 31 to 45 46 to 60 61 to 122 Rate Per 10,000 Youth 0 to 15 16 to 30 31 to 45 46 to 60 61 to 122

DATACORP • Innovative Research and Design Consultants Intensive Outpatient Intermediate

Rate Per 10,000 Youth 0 to 15 16 to 30 31 to 45 46 to 60 61 to 122

Outpatient

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Forecasting Study Preliminary Findings

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Onset Age Predicts Binge Drinking Onset Age Predicts Binge Drinking

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20 40 60 80 100 K - 8 9-10 11-12 College

Source: Cranford et al., 2006

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Onset Age Predicts Dependence Onset Age Predicts Dependence

10 20 30 40 50 <14 14 15 16 17 18 19 20 21+ Age Started Drinking Ever Dependent

DATACORP • Innovative Research and Design Consultants Source: Hingson et al., 2006

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Problem Behaviors Predict Alcohol Problem Behaviors Predict Alcohol Treatment Need Treatment Need

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20 40 60 80 100 1 2 3 4-5 Number of Problems Before Age 15 Tx Need by Age 20

Females Males

Source: McGue and Iacono, 2005

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Problem Behaviors Predict Drug Problem Behaviors Predict Drug Treatment Need Treatment Need

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20 40 60 80 100 1 2 3 4-5 Number of Problems Before Age 15 Tx Need by Age 20

Females Males

Source: McGue and Iacono, 2005

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Kansas Cigarette Use Kansas Cigarette Use

DATACORP • Innovative Research and Design Consultants Source: http://www.ctcdata.org Lifetime Use Among 10th Grade Students

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Kansas Alcohol Use Kansas Alcohol Use

DATACORP • Innovative Research and Design Consultants Source: http://www.ctcdata.org Lifetime Use Among 10th Grade Students

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Kansas Marijuana Use Kansas Marijuana Use

DATACORP • Innovative Research and Design Consultants Source: http://www.ctcdata.org Lifetime Use Among 10th Grade Students

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Kansas Juvenile Arrests Kansas Juvenile Arrests

DATACORP • Innovative Research and Design Consultants Source: http://www.ctcdata.org Past Year Arrests Among 10th Grade Students

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Treatment Need Age 17 Treatment Need Age 17

DATACORP • Innovative Research and Design Consultants 2000 4000 6000 8000 10000 12000 1 9 9 7 1 9 9 9 2 1 2 3 2 5 2 7 Drugs Alcohol Treated

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Treatment Need Age 20 Treatment Need Age 20

DATACORP • Innovative Research and Design Consultants 5000 10000 15000 20000 2 2 2 2 4 2 6 2 8 2 1 Drugs Alcohol Treated

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Alcohol Need by Gender Alcohol Need by Gender

42% 58% Females Males

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34% 66% Females Males

Age 17 Age 20

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Drug Need by Gender Drug Need by Gender

43% 57% Females Males

DATACORP • Innovative Research and Design Consultants Age 17 Age 20

38% 62% Females Males

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Implications Implications

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Onset age and early problem behavior predict load on system Treatment need outstrips capacity for young adults This trend will continue

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Impact

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How can we Reduce the Cost? How can we Reduce the Cost?

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  • Keep mandating and funding treatment

Keep mandating and funding treatment

  • Intervene early

Intervene early

  • Treat families

Treat families

  • Help those not in the treatment system

Help those not in the treatment system

  • Change “kids will be kids” culture

Change “kids will be kids” culture

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Solving Alcohol & Drug Problems Solving Alcohol & Drug Problems

The Problem The Problem

  • Only 18% who need

Only 18% who need treatment receive it. treatment receive it. The Solutions The Solutions

  • Teach difference between

Teach difference between safe and risky drinking. safe and risky drinking.

  • Screen for alcohol and

Screen for alcohol and drug problems. drug problems.

  • Cover Tx through health

Cover Tx through health insurance. insurance.

  • Support Tx and recovery.

Support Tx and recovery.

DATACORP • Innovative Research and Design Consultants

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Public Education Public Education

  • Social marketing campaigns for harm reduction

Social marketing campaigns for harm reduction

  • Employer education about productivity losses

Employer education about productivity losses

  • Policymaker education about costs associated

Policymaker education about costs associated with untreated chronic problems with untreated chronic problems

DATACORP • Innovative Research and Design Consultants

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Screening Screening

  • CAGE motivates drinking reductions

CAGE motivates drinking reductions

  • Workplace

Workplace

  • Employee Assistance Programs

Employee Assistance Programs

  • Company Health Fairs

Company Health Fairs

  • Employee Orientation

Employee Orientation

  • Health care settings

Health care settings

  • Physician’s Offices

Physician’s Offices

  • Hospitals

Hospitals

  • Emergency Rooms & Urgent Care Centers

Emergency Rooms & Urgent Care Centers

  • Clinics

Clinics

  • Behavioral Health Care Centers

Behavioral Health Care Centers

DATACORP • Innovative Research and Design Consultants

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National Alcohol Screening Day National Alcohol Screening Day

  • Thursday, April 5, 2007

Thursday, April 5, 2007

http://www.mentalhealthscreening.org/events/nasd/ http://www.mentalhealthscreening.org/events/nasd/

DATACORP • Innovative Research and Design Consultants

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State Laws, Insurance & Tx State Laws, Insurance & Tx

  • Kansas law allows insurance to limit inpatient

Kansas law allows insurance to limit inpatient days and outpatient hours days and outpatient hours

  • Self

Self-

  • insured employers do not need to follow

insured employers do not need to follow laws laws

  • Reimbursements impact screening in emergency

Reimbursements impact screening in emergency departments departments

DATACORP • Innovative Research and Design Consultants

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Support Tx and Recovery Support Tx and Recovery

  • Tx investments boost employers’ bottom lines

Tx investments boost employers’ bottom lines

  • Alcohol interventions improve highway safety

Alcohol interventions improve highway safety

  • Employer commitment increases access to Tx

Employer commitment increases access to Tx

  • Treat addiction as a chronic disease

Treat addiction as a chronic disease

  • Document outcomes to increase support for

Document outcomes to increase support for Tx Tx

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Regional Planning

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