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Linking Workplace Polices and Programs with Treatment Utilization:   Preliminary Findings Presenters:  Brandeis University: Bernie McCann, M.S., CEAP MHN: Deirdre Hiatt, Ph.D. Addiction Health Services Research Conference Boston, MA  October 21, 2008 Brandeis/Harvard Center on Managed Care and Drug Abuse Treatment  (Funded by the National Institute on Drug Abuse   3P50 DA010233)
Substance  Abuse Treatment Pathways in Employer-Sponsored Programs: Research Team Brandeis/Harvard Center on Managed Care  and Drug Abuse Treatment Brandeis University: Elizabeth L. Merrick, Ph.D., M.S.W. Constance M. Horgan, Sc.D. Dominic Hodgkin, Ph.D. Sharon Reif, Ph.D. Bernard McCann, M.S., CEAP Harvard University: Thomas G. McGuire, Ph.D. Vanessa Azzone, Ph.D. MHN: Deirdre Hiatt, Ph.D. Center for Survey Research, UMass – Boston: Mary Ellen Colten, Ph.D.
Context and Background ,[object Object],[object Object],[object Object]
Overview of MHN, Inc. ,[object Object],[object Object],[object Object],[object Object],[object Object]
Product Impact on Pathways to Treatment Individual’s decision to seek mental health or substance abuse treatment Contact  EAP EAP visits Specialty  Visits  Contact  Integrated EAP Integrated   MBHC EAP visits Specialty  visits Contact  MBHC Specialty  visits O bservable in MHN data Not observable *Other sources  =  general medical providers, self-help, & other sources Other  sources* Other  sources* Other  sources*
Multiple Data Sources ,[object Object],[object Object],[object Object],[object Object],[object Object]
[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Behavioral Health Treatment ( Any claim ) Predictors of Behavioral Health Treatment ,[object Object],[object Object],[object Object],[object Object],[object Object]
Study Sample/Approach ,[object Object],[object Object],[object Object],*EAP accounts with unmanaged eligibility were excluded
Sample Demographics Percent of enrollees (N = 697,389 enrollees ) For EAP enrollees, n = 129,639  For Integrated enrollees, n = 567,750 Product Type EAP Integrated Gender: Female 46.7% 50.9% Male 53.3% 49.1% Age:  < 18 19.8% 29.2% 18-35 38.7% 25.4% 36-55 34.4% 33.1% > 55 7.1% 12.3% Product Type EAP Integrated Enrollee:  Employee 64.7% 43.3% Spouse 11.9% 21.6% Dependent 23.4% 35.1% Region:  Northeast 8.3% 12.3% Midwest 9.8% 12.8% South 27.3% 36.2% West 54.7% 38.8%
Environmental Factors (N = 697,389   enrollees ) *Data gathered for benefit year 2005 Percent of Enrollees b y Product Type* EAP Integrated Industry sector: Service  33.4% 18.9% Blue collar (Construction; Transportation & Manufacturing) 44.6% 48.7% White collar (Sales, Information/Financial & Government) 21.9% 32.3% No union presence in workforce 58.5% 58.3% Less than 50% union membership in workforce 25.3% 21.9% More than 50% union membership in workforce 16.2% 19.8% Employer is subject to Federal Drug-Free Workplace Act 7.9% 15.6% Any employee is subject to Federal Agency Drug Test regs 48% 56.1% Experienced unusual or high level of stress in last year 44.4% 49.7%
Employer Policies (N = 697,389   enrollees ) *Data gathered for benefit year 2005 Percent of Enrollees b y Product Type* EAP Integrated Majority of employees have access to health benefits 87.4% 95.8% Employer focus on workplace health & wellness = low 10% 5.8% Employer focus on workplace health & wellness = medium 35.4% 28.5% Employer focus on workplace health & wellness = high 54.6% 67.7% Employer has written workplace substance abuse policy 91.9% 96% Substance abuse policy has zero tolerance for violations 7.2% 2% Substance abuse policy requires treatment for violations 84.7% 94% Conducted EAP Worksite activities (orientations, classes, etc.) 39.9% 23.2% Employer level of workplace behav hlth product promotion = low 10.7% 14.8% Employer level of workplace behav hlth product promotion = med 63.5% 32.7% Employer level of workplace behav hlth product promotion = high 25.9% 52.5%
Predictors of Any Claim:  Covariates Enrollee type [ref = Dependent] Gender [ref = Male] Female Employee < 18 Age group [ref = 36-55] 18-35 > 55 EAP product 1 Integrated product *Values significant P <.01; **P<.05 Logistic regression odds ratios; N = 697,389   enrollees
Predictors of Any Claim:  Environmental Factors Industry sector [ref = White Collar] Logistic regression odds ratios; N = 697,389   enrollees Blue Collar   Any union Subj to DFWA/Fed drug test regs Govt DFW mandates [ref = none] Level of unionization [ref = none] *Values significant P <.01; **P<.05 Past year   worksite stress [ref = none] Unusual/ Significant 1 2.56* EAP product Integrated product
Predictors of Any Claim:  Employer Policies/Workplace Activity Zero tolerance for policy violation   1 Conducted any worksite EAP activities? [ref = None] Substance abuse policy details [ref = Treatment required for  policy violations] Conducted EAP worksite activities No written  SA policy   EAP product Integrated product * Values significant P <.01; **P<.05 Logistic regression odds ratios; N = 697,389   enrollees
Findings:  Discussion & Next Steps ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

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Linking Workplace Polices & Programs with Treatment Utilization: Preliminary Findings

  • 1. Linking Workplace Polices and Programs with Treatment Utilization: Preliminary Findings Presenters: Brandeis University: Bernie McCann, M.S., CEAP MHN: Deirdre Hiatt, Ph.D. Addiction Health Services Research Conference Boston, MA October 21, 2008 Brandeis/Harvard Center on Managed Care and Drug Abuse Treatment (Funded by the National Institute on Drug Abuse 3P50 DA010233)
  • 2. Substance Abuse Treatment Pathways in Employer-Sponsored Programs: Research Team Brandeis/Harvard Center on Managed Care and Drug Abuse Treatment Brandeis University: Elizabeth L. Merrick, Ph.D., M.S.W. Constance M. Horgan, Sc.D. Dominic Hodgkin, Ph.D. Sharon Reif, Ph.D. Bernard McCann, M.S., CEAP Harvard University: Thomas G. McGuire, Ph.D. Vanessa Azzone, Ph.D. MHN: Deirdre Hiatt, Ph.D. Center for Survey Research, UMass – Boston: Mary Ellen Colten, Ph.D.
  • 3.
  • 4.
  • 5. Product Impact on Pathways to Treatment Individual’s decision to seek mental health or substance abuse treatment Contact EAP EAP visits Specialty Visits Contact Integrated EAP Integrated MBHC EAP visits Specialty visits Contact MBHC Specialty visits O bservable in MHN data Not observable *Other sources = general medical providers, self-help, & other sources Other sources* Other sources* Other sources*
  • 6.
  • 7.
  • 8.
  • 9. Sample Demographics Percent of enrollees (N = 697,389 enrollees ) For EAP enrollees, n = 129,639 For Integrated enrollees, n = 567,750 Product Type EAP Integrated Gender: Female 46.7% 50.9% Male 53.3% 49.1% Age: < 18 19.8% 29.2% 18-35 38.7% 25.4% 36-55 34.4% 33.1% > 55 7.1% 12.3% Product Type EAP Integrated Enrollee: Employee 64.7% 43.3% Spouse 11.9% 21.6% Dependent 23.4% 35.1% Region: Northeast 8.3% 12.3% Midwest 9.8% 12.8% South 27.3% 36.2% West 54.7% 38.8%
  • 10. Environmental Factors (N = 697,389 enrollees ) *Data gathered for benefit year 2005 Percent of Enrollees b y Product Type* EAP Integrated Industry sector: Service 33.4% 18.9% Blue collar (Construction; Transportation & Manufacturing) 44.6% 48.7% White collar (Sales, Information/Financial & Government) 21.9% 32.3% No union presence in workforce 58.5% 58.3% Less than 50% union membership in workforce 25.3% 21.9% More than 50% union membership in workforce 16.2% 19.8% Employer is subject to Federal Drug-Free Workplace Act 7.9% 15.6% Any employee is subject to Federal Agency Drug Test regs 48% 56.1% Experienced unusual or high level of stress in last year 44.4% 49.7%
  • 11. Employer Policies (N = 697,389 enrollees ) *Data gathered for benefit year 2005 Percent of Enrollees b y Product Type* EAP Integrated Majority of employees have access to health benefits 87.4% 95.8% Employer focus on workplace health & wellness = low 10% 5.8% Employer focus on workplace health & wellness = medium 35.4% 28.5% Employer focus on workplace health & wellness = high 54.6% 67.7% Employer has written workplace substance abuse policy 91.9% 96% Substance abuse policy has zero tolerance for violations 7.2% 2% Substance abuse policy requires treatment for violations 84.7% 94% Conducted EAP Worksite activities (orientations, classes, etc.) 39.9% 23.2% Employer level of workplace behav hlth product promotion = low 10.7% 14.8% Employer level of workplace behav hlth product promotion = med 63.5% 32.7% Employer level of workplace behav hlth product promotion = high 25.9% 52.5%
  • 12. Predictors of Any Claim: Covariates Enrollee type [ref = Dependent] Gender [ref = Male] Female Employee < 18 Age group [ref = 36-55] 18-35 > 55 EAP product 1 Integrated product *Values significant P <.01; **P<.05 Logistic regression odds ratios; N = 697,389 enrollees
  • 13. Predictors of Any Claim: Environmental Factors Industry sector [ref = White Collar] Logistic regression odds ratios; N = 697,389 enrollees Blue Collar Any union Subj to DFWA/Fed drug test regs Govt DFW mandates [ref = none] Level of unionization [ref = none] *Values significant P <.01; **P<.05 Past year worksite stress [ref = none] Unusual/ Significant 1 2.56* EAP product Integrated product
  • 14. Predictors of Any Claim: Employer Policies/Workplace Activity Zero tolerance for policy violation 1 Conducted any worksite EAP activities? [ref = None] Substance abuse policy details [ref = Treatment required for policy violations] Conducted EAP worksite activities No written SA policy EAP product Integrated product * Values significant P <.01; **P<.05 Logistic regression odds ratios; N = 697,389 enrollees
  • 15.

Editor's Notes

  1. The Pathways project has examined BH treatment issues more broadly. What we are presenting today are the overall use of BH tx in this population subset – next step is to separate out the actual use of SA services/claims in this population.
  2. Note: Rates of claims utilization refer to clinical EAP services only - explain what this includes/does not include. Provide explanation of managed vs. unmanaged eligibility and why unmanaged accounts were excluded.
  3. SUDAAN is specifically designed for analysis of cluster-correlated data from studies involving recurrent events, longitudinal data, repeated measures, multivariate outcomes, multi- stage sample designs, stratified designs, unequally weighted data, and without replacement samples. SUDAAN fits marginal or population-averaged models using generalized estimation equations (GEE).
  4. Blue Collar = Construction, Transportation, Mining, Manufacturing White Collar = Service, Sales, Govt., Information, Finance, Education DFWA = Drug-free Workplace Act covers federal contractors and grantees Subject to Federal Agency Drug Testing Regulatory = Employers with any workers covered by DOT, DOD or Dept of Energy, NRC drug testing requirements, usually for safety-sensitive positions. Low result of subject to DFW-DTR regs, perhaps makes sense when considering outcome is any claim not SA claim. Low result (0.31) of EAP enrollees with past year stress is counterintuitive.
  5. The result for no written sub policy although not significant, perhaps makes sense when considering outcome is any claim not SA claim. The big result here is that of worksite EAP activities. These include: EAP Orientations Worksite mental health &amp; wellness presentations Worksite SA presentations Supervisory trainings Management consultations