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Introduction to Economic Evaluation of Health Promotion Interventions Homework 1

Introduction to Economic Evaluation of Health Promotion Interventions Homework 1 Developing a cost analysis of a public health promotion intervention: Anorexia Screening Case General guidance For Homework 1 and subsequent Homework Assignments, you will assume the role of a health Department epidemiology team working to advise Jack Foy, the Chief of Staff to Gov. Brown, in the fictional US state of Columbia. Your team has been tasked with the development of an investment case for anorexia screening introduction in schools. Mr. Foy and Gov. Brown will rely on the data that you and your team summarize for them during the current legislative session. Your first task is to develop information on the estimated total and annual financial cost of introducing anorexia screening over the first five years of the program. The intervention plan, including assumptions about resources required and their quantities and prices, is described below. Develop your cost analysis in the Excel template provided, completing all cells shaded in yellow. Prepare a short write up in 500 words or less briefly describing your methods and results. You may use up to 3 tables/charts. Deliverables – Cost assessment developed in an Excel template – 500 word or less write up on methods and results Guidance for costing assessment Unit 5 reviews some basic resource utilization and microcosting concepts that you will want to consider in your cost assessment. In your homework cost assessment, you will follow each step of the microcosting process: resource identification, resource measurement, and resource valuation. Your results should summarize annual costs, total undiscounted costs and total discounted costs over the project time horizon. Make sure to complete Unit 5 asynchronous lecture material before beginning this assignment. You will NOT develop an original project plan narrative; this is provided for you in Table 1. Detailed activities, including frequency of utilization, quantities and prices, are described to guide your cost assessment. Your cost assessment should cover a 5-year period. In the Excel Template, you are responsible for estimating the annual and total cost projections for each sub-activity of the three activity categories considered in the plan (training, implementation and monitoring). The inputs to complete these projections are already populated in the Excel; your task is to implement the correct formula in order to reflect start-up and recurrent costs, discounting and annualization of capital, where necessary, in your annual and total projected cost estimates. Complete the Excel template by inputting formulae in Columns K-Q to make your cost projections. One previous state has already required eating disorder screening for children in grade 5. Because of the rapid nature of change in eating disorder status, we will assume that screening will be implemented annually for all children starting in grade 5. To simplify the case we will assume that there is a closed cohort of 100,000 children who will need to be screened for the entire five year period. In reality, costing out an ongoing screening program would require us to estimate the number of children entering into grade 5 as well as the number of children exiting the school system every year. In this example we assume that ongoing (annual) costs include both the startup year in 2017 and all of the future years of the intervention. Case Note The newly-elected governor of the fictional U.S. state of Columbia has requested a new approach to preventing and treating eating disorders. Governor Brown’s niece recently died from complications from anorexia nervosa, which is the deadliest of all psychiatric disorders. The governor has tasked her chief of staff Jack Foy with personally overseeing the planning process for addressing eating disorders in her state, with specific focus on preventing severe complications from anorexia nervosa. Eating disorders (ED) incur enormous harm and suffering to those directly affected and their families, causing the highest rates of medical complications, hospitalization, and mortality of any psychiatric illness. It is well documented that early identification and treatment of ED confer substantial benefit in reduced morbidity and mortality. Median age of onset is during adolescence and young adulthood, yet screening of youth for ED symptoms in school or primary care settings is not routine in the United States, and the majority of people affected by ED never receive treatment. In addition, abuse of widely available, over-the-counter (OTC) drugs and supplements such as diet pills, laxatives, and diuretics by adolescents and adults for weight control is well-documented in the epidemiological literature and can signal the onset of ED. With the exception of alli®, an OTC diet pill with approval from the Food and Drug Administration for ages 18 years and older, none of these products is medically recommended for healthy weight control. Eating disorders, while less common than obesity, are prevalent among adolescents. Early diagnosis and timely treatment could decrease the economic and health burden of eating disorders on the population. Although population-based screening for eating disorders has been validated as a feasible method to identify at-risk adolescents who might benefit from early identification and treatment, eating disorder. screening has historically not been conducted as part of routine school-based health screenings in the United States. In March of 2013, Virginia Governor Bob McDonnell signed a bill that requires information about eating disorders to be sent to parents of Virginia public school students in grades 5- 12. The law also calls for the Virginia Department of Health to work with the National Eating Disorders Association and other stakeholders to develop a plan for implementing eating disorder screenings in schools. Governor Brown has tasked Jack Foy with overseeing an analysis of the cost-effectiveness of launching a new eating disorders screening program in all middle and high schools in the state using the paper- administered five-question SCOFF screening tool (https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1494802/). Mr. Foy, not being an epidemiologist or a health economist, has set up a meeting with your team at the Department of Health to figure out an analysis plan and to conduct initial analysis of the cost-effectiveness of the Governor’s plan that can be presented in the next 10 weeks. Of course, as this would be administered by local school districts with any resulting treatment provided by current medical provider networks, your team will have to consider the costs and political ramifications for your plan for each of these stakeholders among others. Acknowledgment: This case was adapted with permission from Professor S. Bryn Austin from the in- class teaching case developed by STRIPED (Strategic Training Initiative for the Prevention of Eating Disorders) at the Harvard School of Public Health and Boston Children’s Hospital. The original case can be found here: https://cdn1.sph.harvard.edu/wp-content/uploads/sites/1267/2014/10/Revised- Narrative-CEA-Case-Oct-3-14.pdf Additional Resources Luck, A.J., Morgan, J.F., Reid, F., O’Brien, A., Brunton, J., Price, C., Perry, L., Lacey, J.H. (2002), ‘The SCOFF questionnaire and clinical interview for eating disorders in general practice: comparative study’, British Medical Journal, 325,7367, 755 – 756. Austin SB, Ziyadeh NJ, Forman S, Prokop LA, Keliher A, Jacobs D. Screening high school students for eating disorders: Results of a national initiative. Preventing Chronic Disease. 2008;5(4):A114. Nihiser AJ, Lee SM, Wechsler H, McKenna M, Odom E, Reinold C, Thompson D, Grummer-Strawn L. BMI Measurement in Schools. Pediatrics. 2009;124(Supplement 1):S89-S97. Neumark-Sztainer DR, Wall MM, Haines JI, Story MT, Sherwood NE, van den Berg PA. Shared risk and protective factors for overweight and disordered eating in adolescents. American Journal of Preventive Medicine. 2007;33(5):359-369.e353. Stuhldreher N, Konnopka A, Wild B, Herzog W, Zipfel S, Löwe B, König HH. Cost-of-illness studies and cost-effectiveness analyses in eating disorders: A systematic review. International Journal of Eating Disorders. 2012;45(4):476-491. Wright DR, Austin SB, LeAnn Noh H, Jiang Y, Sonneville KR. The Cost-Effectiveness of SchoolBased Eating Disorder Screening. American Journal of Public Health. 2014;17:e1-e9. Image transcription text Resource Identification Resource Measurement Resource Valuation Total 2017-2UZI 2017-20ZT Activity/Resource Type of cost Resource C… Show more

 
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