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Impacts of Impact Reporting: An Emphasis on Obesity Reduction Programs Presentation By David W. Hughes Professor, Department of Applied Economics & Statistics Clemson Institute for Economic and Community Development, Clemson Extension Service, Clemson University www.clemson.edu/public/ciecd/

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Page 1: Impacts of Impact Reporting: An Emphasis on Obesity Reduction Programs Presentation By David W. Hughes Professor, Department of Applied Economics & Statistics

Impacts of Impact Reporting: An Emphasis on Obesity Reduction

ProgramsPresentation By

David W. Hughes

Professor, Department of Applied Economics & Statistics

Clemson Institute for Economic and Community Development, Clemson Extension Service, Clemson

Universitywww.clemson.edu/public/ciecd/

Page 2: Impacts of Impact Reporting: An Emphasis on Obesity Reduction Programs Presentation By David W. Hughes Professor, Department of Applied Economics & Statistics

Presentation Outline

• Obesity Situation• Overview of Impact as a Concept• Application to Obesity: Key Concepts• Apply in a Logic Model Context

Page 3: Impacts of Impact Reporting: An Emphasis on Obesity Reduction Programs Presentation By David W. Hughes Professor, Department of Applied Economics & Statistics

Obesity Situation

Page 4: Impacts of Impact Reporting: An Emphasis on Obesity Reduction Programs Presentation By David W. Hughes Professor, Department of Applied Economics & Statistics

Obesity Situation (CDC, www.cdc.gov/obesity/index.html)

• Well known national epidemic• American society has become 'obesogenic,' characterized by

environments that promote increased food intake, non-healthful foods, and physical inactivity.

• Body Mass Index >= 30 – (adult’s weight in kilograms divided by the square of his or her height in

meters)– (5 feet, 9 inches min 203 pounds)

• Overall rate 26.7% (2009)– Non-Hispanic blacks (36.8%), – Hispanics (30.7%), – < high school (32.9%)– aged 50--59 years (31.1%– 60--69 years (30.9%)– Increase from 2006-08 rate of 25.6%

• 16.9% of children and adolescents aged 2–19 years are obese

Page 5: Impacts of Impact Reporting: An Emphasis on Obesity Reduction Programs Presentation By David W. Hughes Professor, Department of Applied Economics & Statistics
Page 6: Impacts of Impact Reporting: An Emphasis on Obesity Reduction Programs Presentation By David W. Hughes Professor, Department of Applied Economics & Statistics
Page 7: Impacts of Impact Reporting: An Emphasis on Obesity Reduction Programs Presentation By David W. Hughes Professor, Department of Applied Economics & Statistics

Contributing Factors and Impacts(www.cdc.gov/obesity/causes)

• Due to energy imbalance. – eating too many calories and insufficient physical activity.

• genes, metabolism, behavior, built environment, culture, and socioeconomic status all play roles.

• Health Impacts:• Coronary heart disease, Type 2 diabetes, Cancers, Hypertension,

Stroke, Liver- Gallbladder disease, Osteoarthritis, respiratory and Gynecological problems,.

• Economic Impacts: – 9.1 % U.S. medical expenditures (1998)– Also value of lost wages.

Page 8: Impacts of Impact Reporting: An Emphasis on Obesity Reduction Programs Presentation By David W. Hughes Professor, Department of Applied Economics & Statistics

Overview of Impact as a Concept

Page 9: Impacts of Impact Reporting: An Emphasis on Obesity Reduction Programs Presentation By David W. Hughes Professor, Department of Applied Economics & Statistics

Overview of Related Economic Concepts

• Economic Impact Analysis:– Usually policy impact or industry contribution– Mostly for economic development or agriculture– Multiplier based, turn over of $ in a given economy.– See Hughes, 2003.www.choicesmagazine.org

• Cost-Benefit Analysis– Economists usually evaluate based on producer

surplus (extra profits) plus consumer surplus (extra benefits beyond price paid).

– Can look at program cost vs. net cost avoided or net benefits generated

Page 10: Impacts of Impact Reporting: An Emphasis on Obesity Reduction Programs Presentation By David W. Hughes Professor, Department of Applied Economics & Statistics

Overview of Impact: Case Study

• Programmatic effectiveness:– Can apply quantitative analysis examining a

dependent variable as explained by a set of causal variables

– Causal variables• The program (policy instrument to economist)• Other variables attempting to control for “external factors”

– Approach is problematic concerning evaluating extension programmatic activities for obesity reduction (errors in variables issue)

Page 11: Impacts of Impact Reporting: An Emphasis on Obesity Reduction Programs Presentation By David W. Hughes Professor, Department of Applied Economics & Statistics

Case Study Approach

• careful study of some social unit (as a corporation or division within a corporation) that attempts to determine what factors led to its success or failure (wordnet.princeton.edu)

• in-depth investigation/study of a single individual, group, incident, or community. (en.wikipedia.org/wiki/Case_study)

• Does not using samples and following a rigid protocol (strict set of rules) to examine limited number of variables

Page 12: Impacts of Impact Reporting: An Emphasis on Obesity Reduction Programs Presentation By David W. Hughes Professor, Department of Applied Economics & Statistics

Case Study Approach More(Barkley cherokee.agecon.clemson.edu/case_study_research.pdf)

• “evaluation” of programmatic efforts with the goal of identifying potential explanations for their successes or failures.

• Exploratory and descriptive case studies, examine the development and characteristics of phenomena – Objective: constructing hypotheses concerning cause–

effect relationships. • Tests for causal relationships by comparing

generalizations from case studies’ findings with the underlying theory

Page 13: Impacts of Impact Reporting: An Emphasis on Obesity Reduction Programs Presentation By David W. Hughes Professor, Department of Applied Economics & Statistics

Application to Obesity: Key Concepts

Page 14: Impacts of Impact Reporting: An Emphasis on Obesity Reduction Programs Presentation By David W. Hughes Professor, Department of Applied Economics & Statistics

Literature on Smoking Cessation to Applicable to Obesity Reduction Effort• Time value of money because benefits of

cessation continued into the future.• Rational consumer and time-inconsistent

behavior very pertinent.• Tendency to use gross, not net, benefits.• Advertising, product development

controversial roles.• Government policy controversial (cheap food

= obesity argument).

Page 15: Impacts of Impact Reporting: An Emphasis on Obesity Reduction Programs Presentation By David W. Hughes Professor, Department of Applied Economics & Statistics

Time Value of Money Key Concept

– Value of a stream of money overtime.– Money saved (earned) in the future less valuable

than current money saved (earned).– Invest $100 today to receive $105 one year from

today.– Discounting of future savings or earnings the

flipside.– Over several years, can add up annual savings

using discounting ($100 this year, $95.2 next year, $90.7 following, etc).

Page 16: Impacts of Impact Reporting: An Emphasis on Obesity Reduction Programs Presentation By David W. Hughes Professor, Department of Applied Economics & Statistics

What are Actual Cost-Benefits?• Is over-eating by adults a rational decision?

– I.e., do they weigh the costs (health) vs. benefits (satisfaction) in a rational way.

– As forward-looking consumers, overeaters trade off the happiness gains from overeating against the costs of doing so.

– If so, what is the justification for public $s on education and intervention?

• time-inconsistent behavior – tend to realize immediate rewards and avoid immediate costs in a way

that does not maximize their long run well-being. – Will loose 10 pounds next year by exercise and eating right then; when

the time comes to make the choice, no follow through. Inconsistent, because the behavior I anticipated did not fit my actual future actions.

– eight of ten smokers in America wish to quit but most of the intentions are not actualized, which indicates time-inconsistent smoking preferences (Gruber and Koszegi, 2002).

Page 17: Impacts of Impact Reporting: An Emphasis on Obesity Reduction Programs Presentation By David W. Hughes Professor, Department of Applied Economics & Statistics

Are Benefits “Net” or Gross?• Gross benefits– aren’t benefits because do not

account for alternatives.• Gross Benefits: • calculate all costs (usually in a year) due to

diabetics, other obesity related health cost, count as benefit from obesity reduction program.

• Net Benefits:• comparing the lifetime costs and savings of

cohorts of 20-year-old obese to cohorts of “non-obese” of the same age.

Page 18: Impacts of Impact Reporting: An Emphasis on Obesity Reduction Programs Presentation By David W. Hughes Professor, Department of Applied Economics & Statistics

Applying Concepts in a Logic Model Framework

Page 19: Impacts of Impact Reporting: An Emphasis on Obesity Reduction Programs Presentation By David W. Hughes Professor, Department of Applied Economics & Statistics

Logic Model Output FocusInputs Outputs Outcomes

Activities Partici-pation

ShortTerm

Medium Term

LongTerm

What we

invest

What wedo

Who we reach

What the short term

results are

Learning

What the medium

term results

are

Actions

What the long

term resultsare

Conditions

Situation

Assumptions External Factors

Extension reporting focuses on outputs

Page 20: Impacts of Impact Reporting: An Emphasis on Obesity Reduction Programs Presentation By David W. Hughes Professor, Department of Applied Economics & Statistics

Logic Model Outcomes FocusInputs Outputs Outcomes

Activities Partici-pation

ShortTerm

Medium Term

LongTerm

What we

invest

What wedo

Who we reach

What the short term

results are

Learning

What the medium

term results

are

Actions

What the long

term resultsare

Conditions

Assumptions External Factors

Case study allows focused on outcomes

Situation

Page 21: Impacts of Impact Reporting: An Emphasis on Obesity Reduction Programs Presentation By David W. Hughes Professor, Department of Applied Economics & Statistics

Impacts from measuring outputs (Barefoot)

• Measuring outcomes implies measuring a change in behavior

• Imparted knowledge does not mandate behavior change

• Look at program outputs as the mechanism for knowledge adoption and behavior change.

Page 22: Impacts of Impact Reporting: An Emphasis on Obesity Reduction Programs Presentation By David W. Hughes Professor, Department of Applied Economics & Statistics

Evaluating Impacts: A Hypothetical Example Focusing on Outcomes

(O'Neill, 2008, Feb., JOE)• Net Benefits over time• Use the time value of money• Use net benefit approach• annual health cost:

– $13,243 with diabetes– $2,560 without– $10,683 savings

• Assume 20% of 1,000 program participants push back onset by 6 years.

• At 5% interest rate, present value of cost savings for one individual would be $56,001

• $56,001 X 200 = $11,200,200

Page 23: Impacts of Impact Reporting: An Emphasis on Obesity Reduction Programs Presentation By David W. Hughes Professor, Department of Applied Economics & Statistics

Do Extension Obesity Reduction Efforts Have an Impact?

• Definite Maybe• State Reports for 2007• Noise in the data:

– Nutrition, Food Safety and Healthy Lifestyles– Youth/Adult Obesity– Not possible in many cases to filter out spending on other objectives

(such as food safety)• Correlated per capita spending & FTEs per capita (2007) on

changes in obesity rates 2007-08.• Data available for 47 States

– Spending: -0.01935 – FTE (Non-research): -0.15061 – Total FTE: -0.04702.

Page 24: Impacts of Impact Reporting: An Emphasis on Obesity Reduction Programs Presentation By David W. Hughes Professor, Department of Applied Economics & Statistics

A Call for More, Better Case Studies

• Opportunity Cost:– Reporting takes time and other resources– In it for the impact, not the reporting.

• Case Study– Linking inputs to outputs to outcomes– Historic Asset Mapping

• Use focus groups, surveys, other (?), to determine the current and past programmatic landscape (extension and other wise).

• Similar tools to determine impact of current program.• Convert to monetary, other impacts using principles such as

net benefits, time value of money.

Page 25: Impacts of Impact Reporting: An Emphasis on Obesity Reduction Programs Presentation By David W. Hughes Professor, Department of Applied Economics & Statistics

Supporting Case Studies in an Era of Budget Challenges

• Partner with research colleagues• Write case studies into grants, contracts• Use case study results to:– Publicize results, especially in the political process

(this program saved state government $11,000,000 in medical spending)

– Improve future programmatic efforts.

Page 26: Impacts of Impact Reporting: An Emphasis on Obesity Reduction Programs Presentation By David W. Hughes Professor, Department of Applied Economics & Statistics

Questions, Comments?

Thank You for Your Attention