"The Most Challenging Places to Live with Asthma"

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Transcription:

"The Most Challenging Places to Live with Asthma" The Asthma Capitals is an annual research project of the Asthma and Allergy Foundation of America (AAFA) to identify "the most challenging places to live with." This report provides a summary of factors used to compare and the 100 largest U.S. metro areas. Visit us online to learn how to manage your better no matter where you live. Go to www.asthmacapitals.com, call 1-800-7-ASTHMA or write to info@aafa.org more inmation. This 's report is made possible by a grant from Boston Scientific. º Worse than Average Average* Better than Average Prevalence Factors 2013 death s 1 23 100.00 Richmond, VA º º º º 2 5 96.70 Chattanooga, TN º º º 3 1 93.53 Memphis, TN º º 4 13 92.14 Philadelphia, PA º º º 5 8 90.64 Oklahoma City, OK º º º º 6 22 88.05 Detroit, MI º º 7 29 87.20 Dayton, OH º º º º 8 9 87.01 McAllen, TX 9 24 86.55 Atlanta, GA º º º 10 3 86.42 Knoxville, TN 11 10 86.31 Allentown, PA º º 12 2 86.24 New Haven, CT º 13 37 86.22 Augusta, GA º 14 67 85.93 Springfield, MA º º 15 11 85.37 Tulsa, OK º º º º 16 4 85.09 Pittsburgh, PA º º º www.asthmacapitals.com AAFA 2013 Page 1 of 6

Prevalence Factors 2013 death s 17 44 84.36 Chicago, IL º º º º º 18 28 83.79 Cleveland, OH º º º º 19 25 83.31 Louisville, KY º º º º 20 14 83.10 Fresno, CA º 21 41 82.84 Akron, OH º º º 22 42 82.11 Milwaukee, WI º º 23 21 81.45 Birmingham, AL º º º º 24 47 81.30 New Orleans, LA º 25 38 81.12 Toledo, OH º º º º 26 27 80.37 Virginia Beach, VA º º º º º º 27 17 80.28 Harrisburg, PA º º º 28 16 79.84 Scranton, PA º º º º 29 52 78.81 Cincinnati, OH º º º º 30 19 78.65 Bakersfield, CA º º 31 39 78.51 Little Rock, AR º º º 32 26 78.22 Nashville, TN º 33 15 77.32 Bridgeport, CT º º 34 35 77.25 Indianapolis, IN º º º 35 34 77.24 Lancaster, PA º 36 50 77.22 Wichita, KS º º º º 37 º 6 76.72 Hartd, CT º º º 38 º 30 76.26 Riverside, CA º 39 º 59 76.22 Youngstown, OH º º º 40 º 43 76.21 Stockton, CA º º 41 º 51 76.13 Providence, RI º º º º 42 º 55 75.70 Modesto, CA º º 43 º 61 75.17 Washington, DC 44 º 56 74.82 Poughkeepsie, NY º º 45 º 45 74.76 El Paso, TX º º º 46 º 33 73.81 Los Angeles, CA º 47 º 87 73.61 Jackson, MS º 48 º 18 73.27 Jacksonville, FL º º º º º 49 º 71 73.18 Dallas, TX º º º 50 º 31 73.16 Greensboro, NC º º º º º www.asthmacapitals.com AAFA 2013 Page 2 of 6

Prevalence Factors 2013 death s 51 º 48 73.16 New York, NY º º º º 52 º 65 72.90 Salt Lake City, UT º º º 53 º 66 72.29 Ogden, UT º º º 54 º 54 72.26 Columbus, OH º º º º º 55 º 7 72.12 St. Louis, MO º º º º º 56 º 79 71.86 Phoenix, AZ º º 57 º 20 71.64 Tampa, FL º º º º º º º º 58 º 32 70.76 Buffalo, NY º º º º 59 º 46 70.61 Las Vegas, NV º º º º 60 º 53 69.26 Lakeland, FL º º º º º 61 º 95 69.17 Kansas City, MO º º º º º º º 62 º 49 69.15 Orlando, FL º º º º º 63 º 93 68.98 Omaha, NE º 64 º 40 68.96 Miami, FL º º º º º 65 º 70 68.94 Sacramento, CA º º º º 66 º 12 68.92 San Antonio, TX º º 67 º 68 68.35 Albany, NY º º º º 68 º 63 67.92 Grand Rapids, MI º 69 º 74 67.70 Boston, MA º º º º 70 º 86 67.70 Portland, ME º 71 º 92 67.67 Charleston, SC º º º º º º 72 º 73 67.40 Columbia, SC º º º º º º º º º 73 º 75 67.30 San Diego, CA º º 74 º 62 67.28 Houston, TX º º º º 75 78 66.75 Syracuse, NY º º 76 76 66.23 Daytona Beach, FL º º º º º 77 90 65.92 Tucson, AZ º º º º 78 69 65.86 Rochester, NY º º º 79 96 65.67 Baton Rouge, LA º º º 80 64 65.55 Baltimore, MD º º º º 81 57 65.42 Madison, WI º º º º 82 89 65.38 Minneapolis, MN º º 83 77 65.16 Worcester, MA º º 84 58 64.38 Denver, CO º º www.asthmacapitals.com AAFA 2013 Page 3 of 6

2013 Prevalence Factors death s 85 82 63.68 Colorado Springs, CO º º º º 86 36 63.55 Charlotte, NC º º º º º º 87 81 63.38 Sarasota, FL º º º º 88 85 63.35 San Jose, CA º º 89 97 62.88 Greenville, SC º º º 90 60 62.39 Oxnard, CA º º 91 84 62.38 Raleigh, NC º º º 92 91 62.31 Des Moines, IA º 93 94 61.53 Austin, TX º º º º º 94 80 61.09 Albuquerque, NM º º 95 83 60.19 Cape Coral, FL º º º º º 96 98 60.04 Portland, OR º 97 88 59.86 Palm Bay, FL º º º 98 72 58.22 Boise, ID º º º 99 99 57.55 Seattle, WA º º 100 100 52.88 San Francisco, CA º Prevalence Factors death p s * 2013 LIST AVERAGES 8.71% 8.70% 1.27 per 100,000 deaths 13.76% affected population Avg. C- on A to F Avg. 2.42 on 0 to 4 17.40% 17.60% All states have an 155.23 per 10,000 Patients 2.22 2.31 4.77 spcl per 10,000 s Last Year's List Averages 8.58% 8.68% 1.45 per 100,000 deaths 14.07% affected population C- on A to F 1.68 on 0 to 4 15.68% 17.07% All states had an n/a 2.19 2.42 4.84 spcl per 10,000 s www.asthmacapitals.com AAFA 2013 Page 4 of 6

2013 Asthma Capitals Methodology The U.S. Asthma Capitals research and ing is reported annually by the Asthma and Allergy Foundation of America (AAFA). The ing is based on analysis of data from the 100 most-populated Consolidated Metropolitan Statistical Areas (MSAs) in the U.S. including 13 individual factors grouped into three primary areas: I. Prevalence Factors, II. and III.. Weights are applied to each set of data in each factor group by researchers and medical, reflecting each factor s relative effect on the quality of life people with. Factors are not equally weighted. s are calculated as a composite of all factors, and cities are ed from highest total (city #1) to lowest total (city #100). I. PREVALENCE FACTORS Quantitative data including morbidity statistics from the most recently available sources of estimated, self-reported and crude death s. * Prevalence Asthma adult and pediatric predicted population with *Self-Reported Prevalence Asthma self-reported population with (adult, state-level) * Death Rate from Asthma recorded adult and pediatric metro area deaths from II. RISK FACTORS Qualitative and quantitative data from the most recently available sources of comprehensive annual measurements, average length of peak seasons, outdoor air quality (including number of ozone days and annual levels of pollution particulate matter [pm]), poverty s, uninsured s, state school s and primary MSA city/county/state s prohibiting smoking in places (including workplaces, restaurants, bars and/or cars with minors). * Pollen Score reported Pollen Score each metro area p * Air Quality pollution levels and number of unhealthy outdoor ozone days, d on a of: A (best) to F (worst) *Public Smoking Laws number of "100% smoke-free" smoking bans (bars, restaurants, workplaces and/or cars with minors) * Rate reported percent of metro area population in poverty * Rate reported percent of metro area population without health insurance * Inhaler Access Laws state s ensuring student to s p Note: The Pollen Score provided by IMS Health is a comprehensive index of the population at risk of being affected by airborne allergenic ("affected population") derived from actual counts, allergy each type and related factors. The smoke-free s recognized by this report are "100%" bans only; partial smoking bans or bans with exceptions are not included. State school s recognized by this report are state-wide policies allowing students to carry and medications. III. MEDICAL FACTORS Quantitative data from the most recently available sources in the 100 most populated U.S. cities the number of per 10,000 s, number of rescue and ler medication prescriptions per, and the number of adult and pediatric per 10,000 s with their primary Board Certification in allergy & immunology and/or pulmonary medicine. *ER Visits Asthma number out- plus in- Medicare and non-medicare emergency room visits per *Rescue Medication Use number of rescue medication prescriptions per *Controller Medication Use number of ler medication prescriptions per * Asthma Specialists number of Board Certified adult/pediatric allergists/immunologists and pulmonologists per Note: Maryland ER data is non-medicare visits only www.asthmacapitals.com AAFA 2013 Page 5 of 6

Sources: Most Current Available Local-Level Data Used the 2013 Asthma Capitals Decennial U.S. Census 2000, U.S. Department of Commerce, Census Bureau, and 2012 Population Estimate Updates National Pollen Index Measurements and Reports, IMS Health Inc., Pollen.com Database, 2012 Local Tobacco Control Ordinance Database, American Nonsmokers Rights Foundation, 2013 AAFA's State Honor Roll of Asthma and Allergy Policies, 2012 National Prescription Tracking Database, IMS Health Inc., 2012 National Medical Specialist Database, American Board of Medical Specialties, 2013 Small Area Income & Estimates, U.S. Department of Commerce, Economics and Statistics Administration, 2012 Small Area Health Insurance Estimates, U.S. Department of Commerce, Economics and Statistics Administration, 2010 Mortality Statistics Database, U.S. Centers Disease Control and Prevention, CDC Wonder, 1999-2010 National Health Interview Survey (NHIS), U.S. Centers Disease Control and Prevention, 2010 National Center Health Statistics, Behavioral Risk Factor Surveillance System (BRFSS), "Adult Self-Reported Current Asthma Prevalence Rate, 2010 Air Quality System (AQS) Air Quality and Ozone Data, U.S. Environmental Protection Agency, 2008-2010 CMS Hospital Out Prospective Payment System (OPPS) and Provider of Service Files, 2011 CMS MEDPAR Hospital (National), 2011 Thompson Reuters Medicare Database, 2011 American Hospital Association Survey Database, 2010 2013-AAFA - Neither this report nor its contents may be reproduced or used commercial purposes without permission (Dissemination of this s report is made possible by a sponsorship from Boston Scientific Corporation (NYSE:BSX), a leading manufacturer of medical devices, and additional support from s and family donors to AAFA.) Updated 4/23/2013 www.asthmacapitals.com AAFA 2013 Page 6 of 6