Toolbox for Improving Program Processes and Health and Housing Outcomes:

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Toolbox for Improving Program Processes and Health and Housing Outcomes: Experiences of the NYSDOH Lead Primary Prevention Program

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Toolbox for Improving Program Processes and Health and Housing Outcomes: Experiences of the NYSDOH Lead Primary Prevention Program. Panelists. Moderator: Amy Murphy, MPH, Consultant & TA Provider to the NCHH & NYSDOH Panelists: Cathe Bullwinkle, Oneida County Health Department - PowerPoint PPT Presentation

Transcript of Toolbox for Improving Program Processes and Health and Housing Outcomes:

Page 1: Toolbox for Improving Program Processes and Health and Housing Outcomes:

Toolbox for Improving Program Processes and Health and Housing

Outcomes:

Experiences of the NYSDOH Lead Primary Prevention Program

Page 2: Toolbox for Improving Program Processes and Health and Housing Outcomes:

Panelists

Moderator:

Amy Murphy, MPH,

Consultant & TA Provider to the NCHH & NYSDOH

Panelists:• Cathe Bullwinkle, Oneida County Health Department• Debra Lewis, Onondaga County Health Department

Page 3: Toolbox for Improving Program Processes and Health and Housing Outcomes:

Prevalence of Childhood Lead Poisoning

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NY State CLPPP

8 original pilot locations funded in 2007

Year Funding Amount

2007-2008 $3 million

2008-2009 $5 million

2009-2010 $7.7 million

2010-20112012-2013

$10 million15 grantees operating through 2013

Page 5: Toolbox for Improving Program Processes and Health and Housing Outcomes:

Childhood Lead Poisoning Prevention Program – CLPPP

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15 Target Counties

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NCHH

• Provides technical & evaluation assistance

• Grantees required to conduct cost analysis and/or outcomes evaluation

Page 8: Toolbox for Improving Program Processes and Health and Housing Outcomes:

Technical Assistance Briefs

• Cost Analysis Templates & Guidelines

• Effectiveness of targeting high risk blocks

• Post-remediation follow-up

• Projecting the burden of exposure in areas with low screening rates

Page 9: Toolbox for Improving Program Processes and Health and Housing Outcomes:

Approaches to Cost Analysis

•Cost of Illness: Economic burden of a disease

•Cost Analysis: Value of the resources required to implement an intervention

•Cost-Effectiveness Analysis: Costs saved because an adverse health condition was prevented

•Cost-Benefit Analysis: Net benefit determined by subtracting the monetary benefit (averted adverse health or environmental outcomes) from the cost of the intervention

Page 10: Toolbox for Improving Program Processes and Health and Housing Outcomes:

Cost Analysis• Health Care Expenditures

• Special Education

• Juvenile Delinquency

• Early Intervention Program

• Cost of Program Services

• Benefit of Window Replacement

• IQ & Lifetime Earnings Loss

• Return on investment

Page 11: Toolbox for Improving Program Processes and Health and Housing Outcomes:

Cost of Illness

Magnitude of a public health problem in monetary terms

Medical, nonmedical, social and educational costs

Potential savings associated with an implementing an intervention

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Health Care & Public Costs

• Direct health care costs of lead poisoning:– Screening

– Medical Management

– Nursing Case Management

– Environmental Services

• 2006 Consumer Price Index• Conservative estimates• Includes only direct medical

costs for children

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Cost of Illness Estimates

Blood Lead Level Number of Children

Estimated Health care cost per

child

Cost Incurred

10-15µg/dL 250 $74 $18,500

15-20µg/dL 150 $74 $11,100

20-45µg/dL 95 $1,207 $114,665

45-70µg/dL 5 $1,335 $6,675

>70µg/dL 0 $3,444 0

500 children

Total Costs $150,949

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Special Education Expenditures

• Impaired neurobehavioral function

• 20% of children with blood lead levels >25 µg/dL will need special education.

• School districts have average annual cost of special education

• Standard Education: $8,322 Special Education: $14,317

• Differential: $5,995

• Three years of special education needed on average

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Juvenile Delinquency

• Estimated that 10% of juvenile delinquency may be attributed to lead poisoning.

• $34,000 per year to incarcerating youth.

Page 16: Toolbox for Improving Program Processes and Health and Housing Outcomes:

IQ & Lifetime Earnings Loss

Basic Formula

IQ loss within BLL group

X

Earnings loss per IQ point

X

Number of children/ category

=

Net lifetime earnings loss

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Mathematical formula for the 2-10 µg/dL group

1. Average Rate of IQ Loss per µg/dL within BLL Group X Total IQ Points Lost within BLL Group

5 x .513 = 2.565

2. Lifetime Earning Loss X Total IQ Points Lost = Loss per child

$18,948 X 2.565 = $48,627

3. Applied to the number of children within BLL Group (60)

Lifetime earning loss x Number of children

60 X $48,627 $2,917,636

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IQ and Lifetime Earnings Loss

Blood lead level

Number of Children

(Prevalence)

Average Blood Lead

Level

Average Rate of IQ Loss per

µg/dL within BLL Group

Total IQ Points Lost within BLL

Group

Lifetime Earning Loss within BLL

Group($18,958, x

Total IQ Points Lost)

Applied to the number of children within BLL Group

(Lifetime earning loss x number of children)

2-10 µg/dL 60 5 .513 2.565 $48,627 $2,917,636

10-20 µg/dL 40 15 .19 6.08 $115,265 $4,610,586

>20 µg/dL 10 20 .11 7.03 $133,275 $1,332,747

110 Net lifetime earnings loss $8,860,969

Page 19: Toolbox for Improving Program Processes and Health and Housing Outcomes:

Costs of Lead Exposure in NYS

• Cost of illness estimates 2010

• Impact of lead exposure on health care expenditures, special education, and lifetime earnings loss

• NYC: $1,555,637,637 (62%)

Cost of Illness - Childhood Lead Exposure

New York State -2010 (including NY City)

Impact Total Cost

Health Care $3,281,942

Special Education $1,260,883

IQ and Lifetime Earnings Loss

$2,514,923,250

Total $2,519,466,075

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Early Intervention

• Identify children served by EIP

• Eliminate those served due to other issues

• De-identify eligible children

• Extract & organize EIP service data

• Link EIP services to costs

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Oneida County

Costs of Child Find & Early Intervention Newly Diagnosed Children with EBL > 15 ug/dL

• Refer all children < 3 at risk for developmental disabilities

• Screening - Ages & Stages Questionnaire

• 186 children 2009-2010– 5.3% of all new admissions to CF & EIP

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Calculating EIP Costs

1) Identify children with lead exposure being served by EIP. 1) Determine if children are being served by EIP because of lead exposure

2) De-identify the children by assigning a unique child ID.

3) Extract and obtain information on EIP services received and enter into an Excel spreadsheet.

1) Date of enrollment

2) Length of enrollment

3) Service type: Speech Language Pathology (SLP), Occupational Therapy (OT), Physical Therapy (PT), Special Instruction Teacher/Special Education services, Other Services

4) Determine costs for EIP Services (In Oneida County, the cost per unit is the same for all services)

4) Calculate the value of third party reimbursement for services (if available)

5) Calculate the cost of EIP services per year and per child.

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Early Intervention Program

• Evaluation to assess & monitor needs– $59.43 per child

• Costs of Services: $134,414 (2009-10)

– $4,596 Average Total Cost of EIP/Child– $2,143 Average Net Costs after

Reimbursement/Child

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Services Provide/Cost Analysis

Services Cost Breakdown

Physical Therapy 77%

Occupational Therapy 16%

Speech Therapy 7%

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Additional Efforts

• Cost of Illness Estimates 2009-11

• Prevalence Decreases in Target Areas– Quantify the impact of program efforts over

time

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Onondaga

Compare EIP Costs:• Children identified with EBL > 5 ug/dL before

EIP enrollment

• Children identified with EBL > 5 ug/dL after EIP enrollment

• Children receiving EIP services who did not have an EBL

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Methodology

• Obtain EIP intake logs for 2009

< 36 months of age

• Match with LeadWeb Surveillance Data for children

• Extra EIP Child Service Reports of eligible children

• Calculate Costs of EIP services for each category

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EIP Cost Comparison

Category Number of Children

Average Cost Total Cost

One BLL > 5ug/dL prior to EIP

67 $2,994 $200,580

One BLL >5 ug/dL after EIP enrollment

88 $4,610 $405,664

No BLL but tested prior to EIP

142 $5,604 $795,765

No BLL and not tested prior to EIP

73 $9,115 $664,606

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Discussion of Findings

• Children without an EBL referred at an earlier age due to more severe delays and greater need for services?

• Would the findings have been different if used a threshold of 15 ug/dL?

• Need to control for age? Referral source?

• Look at multi-year service data?

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LEAN QI Process

Goal: To study the enforcement process

Process Elements:•Process mapping•Visioning•Time studies•Policy review•Inclusion of staff at all levels

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Issues of Concern

• Gaining access/contacting tenants• Multiple field visits• Clerical task duplication• Inefficient management of electronic

documents• Long compliance time frames• Hearing schedule backlog

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Policy & Procedure Changes

• Updated tenant screening form

• Integration of enforcement efforts – – Combine hearing notice, order posting,

reinspections

• Notice & Information eliminated

• Policy on vacant properties

• Electronic case files and folders

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Additional Efforts

• IQ & Lifetime Earnings Loss

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Costs of Program Services

1. Document protocols or procedures

2. Specify staff roles

3. Develop time estimating worksheets

4. Document time for each step over a period of time

5. Average time across staff

6. Identify hourly rates

7. Calculate intervention costs

8. Determine indirect costs

9. Link to program outputs/activities

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Risk Assessment Costs by Type

Includes program activities from the time a housing unit is referred into the program thru dust wipe clearance.

Risk Assessment - No hazards identified: $235.17Risk Assessment - Hazards identified: $1,088.70 Risk Assessment – Enforcement: $1,366.22.*

Analysis: •When enforcement is needed the costs to the program increases, at a minimum, by $277.52. •This cost is incurred per hearing date. •Some cases have multiple hearing dates due to chronic non-compliance.

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Monetary Benefit of Window Replacement

• Energy Star Window Savings: – 15-24% reduction in energy

bills– $20 for every dollar per year

in energy savings

• Increase in Property Values: – $100 per window– 95% costs of paint

stabilization

• Health benefits: • $6,847 Pre-1940 Housing• $2,847 1940-1959 Housing• $632 1960-1977 Housing

• Formula:

Market Value Benefit + Health Benefit –

Lead Hazard Control Costs = Net Benefits (CBA)

Varies by housing size, # of windows replaced and age of housing.

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Data Required

Risk assessment costs

Window replacement costs

Paint stabilization costs

Cleanup and lead dust clearance costs

Number of windows replaced

Annual energy bill pre-lead hazard control

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Monetary Benefit of Window Replacement

Costs 800 ft2

Attached7 Windows

1200 ft2

Detached10 Windows

1800 ft2

Detached16 Windows

Window Replacement $6,118 $9,684 $15,494

Weighted Average Interior Paint Stabilization $146 $146 $146

Weighted Average Exterior Paint Stabilization $291 $291 $291

Specialized Cleanup $386 $510 $510

Lead Dust Clearance Testing $175 $219 $219

Average Cost $7,116 $10,850 $16,660

Annual Energy Savings (15%-25%) $130-216 / yr $194-324 / yr $292-486 / yr

Market Value Benefits

Windows $5,485 $8,681 $13,890

Weighted Average Interior Paint Stabilization $144 $144 $144

Weighted Average Exterior Paint Stabilization $270 $270 $270

Average Market Value Benefit $5,899 $9,095 $14,304

Average Lead Hazard Reduction Benefit

Weighted Average in Pre-1940 Housing $6,847 $6,847 $6,847

Weighted Average in 1940–1959 Housing $2,847 $2,847 $2,847

Weighted Average in 1960–1977 Housing $632 $632 $632

Page 39: Toolbox for Improving Program Processes and Health and Housing Outcomes:

FormulaCosts:

Window Replacement: Actual Installed Cost $

Paint Stabilization: Actual Cost $

Cleanup and Lead Dust Clearance Testing: Actual Cost

$

Total Cost = A $ Sum of all homes

Market Value Benefits:

Windows Market Benefit = $100/window + (20% of the previous year annual energy bill) x 20)

$

Paint Stabilization Market Benefit = 95% of Actual Cost

$

Total Market Value Benefit = B $ Sum of all homes

Lead Hazard Reduction Benefits

Pre-1940 units multiplied by $6,847 $

1940-1959 units multiplied by $2,847 $

1960-1977 units multiplied by times $632 $

Applicable Lead Hazard Reduction Benefit = C$Sum of all homes

Net Benefits: B + C - A $

Page 40: Toolbox for Improving Program Processes and Health and Housing Outcomes:

Projecting Prevalence

Step 1. Are the demographics of children screened the same as the general population of children?

Prevalence rate X Number of children < 6

Step 2. If not representative….

Determine prevalence rates by race

Multiply by the number of children of that racial/ethnic origin

Add the projections to determine the burden of lead exposure

Page 41: Toolbox for Improving Program Processes and Health and Housing Outcomes:

Effectiveness of Targeting High Risk Blocks

Questions:

Is there a neighborhood effect?

Efficacy of canvassing and focusing on exterior lead hazard control.

• Identify comparable geographic areas

• Document baseline prevalence

• Determine post-intervention burden of lead exposure

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Post-remediation Follow-up

• How long to housing units remain lead safe?

• What is the level of maintenance after LHC and how important is it?

• What is the contribution of dust lead tracked in from outside sources?

• What is the value of a lead safe housing registry?

• How realistic are community-wide remediation targets?

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Post-remediation Follow-up Analysis

• Number & extent of LBP hazards at each interval.

• What rooms or components have a higher likelihood of reoccurring hazards?

• How long do housing units remain lead-safe?

• Where are dust lead levels the highest post remediation?

• Variance based on who conducted the work?

Page 44: Toolbox for Improving Program Processes and Health and Housing Outcomes:

Considerations

• Change in inspectional/risk assessment protocols?

• Change in interventions standards?

• Change in who can conduct work?

• Systems requiring maintenance?

• Communicate results to owners.

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Post-remediation Follow-up Options

• Comparison of baseline & post-remediation paint condition.

• Examination of post-remediation paint condition & dust levels.

• Comparison of baseline & post-remediation paint condition & dust levels.

Page 46: Toolbox for Improving Program Processes and Health and Housing Outcomes:

Return on Investment

Controlling lead hazardsFor every dollar spent on LHC, $17-$221 returned in health benefits, increased IQ, higher lifetime earnings, tax revenue, reduced spending on special education and reduced criminal activity

VaccinationReturns $5.30 - $16.50 for every dollar invested in immunizations

Page 47: Toolbox for Improving Program Processes and Health and Housing Outcomes:

References

• Gould E. 2009. Childhood Lead Poisoning: Conservative Estimates of the Social and Economic Benefits of Lead Hazard Control. Environmental Health Perspectives. 117(7): 1162-1167. Uses IQ point loss value of $17,815 from Schwartz, et al (1994) based on 2006 USD.

• Korfmacher KS. 2003. Long-Term Costs of Lead Poisoning: How Much Can New York Save by Stopping Lead? Working Paper: Environmental Health Sciences Center, University of Rochester, 9 July 2003. Available: http://www.sehn.org/tccpdf/lead%20costs%20NY.pdf [accessed 10 October 2008].

• Lanphear BP, Hornung R, Khoury J, Yolton K, Baghurst P, Bellinger DC, et al. 2005. Low-Level Environmental Lead

Exposure and Children’s Intellectual Function: An Interna tional Pooled Analysis. Environmental Health Perspectives. 113:894-899.

• Nevin R, Jacobs D, Berg M, Cohen J. 2008. Monetary Benefits of Preventing Childhood Lead Poisoning with Lead-Safe

Window Replacement. Environmental Research. 106: 410-419.

• Oklahoma Department of Health. September 2010. Economic Impact of Childhood Lead Poisoning. The Bulletin. pp 40-43. Uses IQ point loss value of $18,958 based on 2009 USD (adjusted for inflation).

• Zhou F, Santoli J, Messonnier ML, Yusuf HR, Shefer A, Chu SY. 2005. Economic Evaluation of the 7-Vaccine Routine Child hood Immunization Schedule in the United States, 2001. Archives of Pediatrics & Adolescent Medicine 159:1136–1144.

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Questions?