Awareness of Heart Attack and Stroke Symptoms Among Hispanic Males Carlos Agüero, MD Department of Family and Community Medicine, University of Illinois-Chicago.

Slides:



Advertisements
Similar presentations
Diabetes in Idaho BRFSS 2009 Data collected from Behavioral Risk Factor Surveillance System Idaho Department of Health and Welfare, Division of.
Advertisements

Julie Darnell, PhD, MHSA Assistant Professor, Division of Health Policy & Administration School of Public Health University of Illinois at Chicago May.
Study of Disability In Arkansas Presented by: Neha Thakkar Arkansas Center for Health Statistics Arkansas Department of Health With lot of help from: Shalini.
Economic Impact of a Sedentary Lifestyle. Exercise and Body Composition The health care costs associated with obesity treatment were estimated at $117.
Language Attributes and Older Adults: Implications for Medicare Policy Ninez Ponce, PhD,MPP 1,2 ; Leighton Ku, PhD 4 ; William.
IntroductionMethods (continued)Results (continued)Strengths and Limitations Background Pharmacologic treatments are efficacious in reducing post-myocardial.
Associations between Obesity and Depression by Race/Ethnicity and Education among Women: Results from the National Health and Nutrition Examination Survey,
Self-Reported Obesity Among U.S. Adults in 2012 Definitions  Obesity: Body Mass Index (BMI) of 30 or higher.  Body Mass Index (BMI): A measure of an.
Prevalence of Self-Reported Obesity Among U.S. Adults, by Race/Ethnicity and State, Definitions  Obesity: Body Mass Index (BMI) of 30 or higher.
Exploring Multiple Dimensions of Asthma Disparities Using the Behavioral Risk Factor Surveillance System Kirsti Bocskay, PhD, MPH Office of Epidemiology.
1 The Burden of Stroke in the Great Lakes States.
Maine Emergency Medical Services Department of Public Safety Maine Heartsafe Communities Welcome.
Stroke. Stroke Facts About 795,000 Americans experience a Stroke (or Brain Attack) each year. About 610,000 of these are first attacks and 185,000 are.
Concurrent Tobacco Use: A Study of Socio-demographic Correlates Nasir Mushtaq, MPH Laura A Beebe, PhD University of Oklahoma Health Sciences Center.
Analysis of Prostate Cancer Prevention Behavior in Florida Utilizing The 2002 BRFSS Data Yussif Dokurugu MPH Candidate April 9, 2004.
Health in the District of Columbia: Epidemiology and Trends John O. Davies-Cole, PhD, MPH, CPM State Epidemiologist DC Department of Health CHP HEALTH.
Exploring the Washington Group Data from the 2011 U.S. National Health Interview Survey Julie D. Weeks, Ph.D. National Center for Health Statistics, USA.
February is… Heart Disease Awareness Month By Karen Grajczyk Resident Advisor The University of Toledo.
The Changing Population of Texas Government Finance Officers Association of Texas October 25, 2012 San Marcos, TX.
Prevalence of Self-Reported Obesity Among U.S. Adults by State and Territory Definitions  Obesity: Body Mass Index (BMI) of 30 or higher.  Body Mass.
Healthy People 2010 Focus Area 12: Heart Disease and Stroke Progress Review May 21, 2007.
DISPARITIES IN ACCESS: Reality vs. Perception Peter J. Cunningham Jack Hadley 2008 AcademyHealth Annual Meeting June 8, 2008, Washington D.C.
Exhibit 1. Uninsured Rates for Blacks and Hispanics Are One-and-a-Half to Two Times Higher Than for Whites (2013) Notes: Black and white refer to black.
Evidence-Based Medicine 3 More Knowledge and Skills for Critical Reading Karen E. Schetzina, MD, MPH.
Prepared by: Amy Lin, MPH. INFANT DEATHS PER 1,000 LIVE BIRTHS, BY STATE: Mississippi Michigan Alabama South Dakota7.11.
Inci Irak-Dersu MD 1, Appathurai Balamurugan, MD MPH 2 1 College of Medicine, University of Arkansas Medical Sciences 2 Fay W. Boozman College of Public.
Adverse Health Conditions and Health Risk Behaviors Associated with Intimate Partner Violence in US Virgin Islands Grant Support: National Center on Minority.
Selected Data for West Virginia Higher Education National Center for Higher Education Management Systems Presented on June 4, 2003 National Collaborative.
Texas Indigent Healthcare Association State Conference October 31, 2013 Austin, Texas Texas Demographic Characteristics and Trends and Health Issues.
Prevalence of Self-Reported Obesity Among U.S. Adults by Race/Ethnicity, State and Territory, BRFSS, Definitions  Obesity: Body Mass Index (BMI)
Racial and Ethnic Disparities in the Knowledge of Shaken Baby Syndrome among Recent Mothers Findings from the Rhode Island PRAMS Hanna Kim, Samara.
Quality Measurement and Gender Differences in Managed Care Populations with Chronic Diseases Ann F. Chou Carol Weisman Arlene Bierman Sarah Hudson Scholle.
Veterans Using and Uninsured Veterans Not Using VA Health Care Karin Nelson, MD, MSHS Gordon A. Starkebaum, MD Gayle E. Reiber, PhD, MPH VA Puget Sound.
Prevalence of Self-Reported Obesity Among U.S. Adults by State and Territory Definitions  Obesity: Body Mass Index (BMI) of 30 or higher.  Body Mass.
Arnold School of Public Health Health Services, Policy, and Management 1 Drug Treatment Disparities Among African Americans Living with HIV/AIDS Carleen.
4th June 2012 Nisha Kini Disparities in Heart Attack Knowledge by Gender, Race/Ethnicity, Education Level and Household Income among Maine adults.
Shane Lloyd, MPH 2011, 1,2 Annie Gjelsvik, PhD, 1,2 Deborah N. Pearlman, PhD, 1,2 Carrie Bridges, MPH, 2 1 Brown University Alpert Medical School, 2 Rhode.
Texas Rural Health Association Conference November 19, 2013 Fort Worth, Texas Texas Demographic Characteristics and Trends and Health Issues.
Stroke. Stroke Facts About 795,000 Americans experience a Stroke (or Brain Attack) each year. About 610,000 of these are first attacks and 185,000 are.
Background Objectives Results Methods Within State Geographic Variation in Antipsychotic Medication Treatment for Medicaid-insured Children and Adolescents.
Margot E. Ackermann, Ph.D. and Erika Jones-Haskins, MSW Homeward  1125 Commerce Rd.  Richmond, VA Acknowledgements The Richmond.
Module 3: Alzheimer’s Disease – What is the Role of Public Health? A Public Health Approach to Alzheimer’s and Other Dementias.
Research objective Annually, around 9 million injured children are treated in U.S. emergency departments. For injuries that require medical care beyond.
Impact of Perceived Discrimination on Use of Preventive Health Services Amal Trivedi, M.D., M.P.H. John Z. Ayanian, M.D., M.P.P. Harvard Medical School/Brigham.
 Wellness is the state of being in good health.  Quality of Life refers to a person’s satisfaction with his or her looks, lifestyle, and responses to.
Copyright restrictions may apply JAMA Ophthalmology Journal Club Slides: Awareness and Knowledge of Emergent Ophthalmic Disease Uhr JH, Mishra K, Wei C,
Stephen Nkansah-Amankra, PhD, MPH, MA 1, Abdoulaye Diedhiou, MD, PHD, H.L.K. Agbanu, MPhil, Curtis Harrod, MPH, Ashish Dhawan, MD, MSPH 1 University of.
Racial/Ethnic Disparities in Gestational Diabetes Mellitus in Oregon Monica Hunsberger, MPH, RD, PhD 1, Rebecca J. Donatelle, PhD 2, Kenneth D. Rosenberg,
Dr. Harman Dhaliwal Sleepy Eye Medical Center Women’s Expo – September 28, 2013.
** KIM Division of Chronic Disease Control, Korea Centers for Disease Control and Prevention Study on a Pre-hospital project of Republic of Korea (ROK)-type.
RTC Managed Care & Disability Access to Healthcare Services Among People With Disabilities in Managed Care and Fee-for-Service Health Plans Gerben DeJong.
Arnold School of Public Health Health Services Policy and Management 1 Women’s Cancer Screening Services Utilization Versus Their Insurance Source Presenter:
Definitions: Definitions: Obesity: Body Mass Index (BMI) of 30 or higher. Obesity: Body Mass Index (BMI) of 30 or higher. Body Mass Index (BMI): A measure.
1 Janine M. Jurkowski, PhD * Dayna M. Maniccia, MS * Steven J. Samuels, PhD * Deborah A. Spicer, MPH § Barbara A. Dennison, MD §* * University at Albany,
Mesfin S. Mulatu, Ph.D., M.P.H. The MayaTech Corporation
Physicians per 1,000 Persons
Cardio- vascular diseases
Prevalence of intimate partner violence among urban, suburban, and rural females Penelope Baughman, MPA, MPH Ekta Choudhary, MS, MPH Robert Bossarte, PhD.
ED STROKE ALERT Competency
Percent of Population Under Age 65 Uninsured, 2013, 2014, and 2015
Supplementary Data Tables, Trends in Overall Health Care Market
Self-Reported Obesity Among U.S. Adults in 2012
HIV Surveillance by Race/Ethnicity
From , blacks/African Americans constituted the largest percentage of diagnoses of HIV infection each year. In 2008, of adults and adolescents.
Epidemiology of HIV Infection through 2009
Agenda: Thurs/Fri 1/19-20 Economic Reasoning
Percent of adults aged 18 years and older who have obesity †
Obesity: Body mass index (BMI) of 30 or higher.
State-specific Prevalence of Obesity Among U. S
Presentation transcript:

Awareness of Heart Attack and Stroke Symptoms Among Hispanic Males Carlos Agüero, MD Department of Family and Community Medicine, University of Illinois-Chicago College of Medicine at Rockford STFM 41 st Annual Spring Conference - Baltimore, MD

Coauthors May Nawal Lutfiyya, PhD Ricardo Bardales, BS, M3 Robert Bales, MD, MPH, MS Michelle Brady, MS, FNP Michelle Brady, MS, FNP Adriana Tobar, MD Cynthia McGrath, MS, FNP Julia Zaiser, MS, FNP Martin Lipsky, MD, MS

Background Heart Disease and Stroke are respectively the first and third leading causes of mortality in men in the United States Hispanics constitute the fastest growing population in the U.S. and have surpassed all other racial or ethnic groups to become the largest minority in America There is little information on incidence and prevalence on this group as a whole Evidence suggests Hispanics may be at a higher risk for both Heart Disease and Stroke Heart Disease and Stroke are respectively the first and third leading causes of mortality in men in the United States Hispanics constitute the fastest growing population in the U.S. and have surpassed all other racial or ethnic groups to become the largest minority in America There is little information on incidence and prevalence on this group as a whole Evidence suggests Hispanics may be at a higher risk for both Heart Disease and Stroke

Percent of Hispanic adult men > 18 years of age with at least 1 MI and Stroke risk factor* 2005 Behavioral Risk Factor Surveillance Data *risk factors= Hypertension, Hyperlipidemia, Obesity, Diabetes

Knowledge and recognition of early warning signs of either heart attack or stroke are important for early appropriate response Hispanics (women and men combined) with acute heart attack or stroke have longer delay times, and are thus less likely to benefit from time-dependent reperfusion therapies. While a gap in heart attack and stroke symptom awareness for Hispanic women has been documented, knowledge of heart attack and stroke symptoms in Hispanic men remains largely unexamined Knowledge and recognition of early warning signs of either heart attack or stroke are important for early appropriate response Hispanics (women and men combined) with acute heart attack or stroke have longer delay times, and are thus less likely to benefit from time-dependent reperfusion therapies. While a gap in heart attack and stroke symptom awareness for Hispanic women has been documented, knowledge of heart attack and stroke symptoms in Hispanic men remains largely unexamined Background

Are there within-group disparities in Hispanic men’s knowledge of heart attack and stroke symptomology? We found no studies that looked at heart attack and stroke symptom awareness among adult U.S. Hispanic men exclusively Are there within-group disparities in Hispanic men’s knowledge of heart attack and stroke symptomology? We found no studies that looked at heart attack and stroke symptom awareness among adult U.S. Hispanic men exclusively The Research Question

Methodology Multivariate techniques were used to analyze a multi-year Heart and Stroke module from the Behavioral Risk Factor Surveillance System (BRFSS) database BRFSS uses a random-digit dial telephone survey targeting adults 18 years and older The data are cross-sectional and are focused on health risk factors and behaviors Three years of Behavioral Risk Factor Surveillance data ( ) were amalgamated into a single dataset Multivariate techniques were used to analyze a multi-year Heart and Stroke module from the Behavioral Risk Factor Surveillance System (BRFSS) database BRFSS uses a random-digit dial telephone survey targeting adults 18 years and older The data are cross-sectional and are focused on health risk factors and behaviors Three years of Behavioral Risk Factor Surveillance data ( ) were amalgamated into a single dataset

Methodology Only data from states using the Heart and Stroke module were selected for inclusion in the amalgamated database. Data from 23 states, 1 territory and the District of Columbia were included in the amalgamated database The BRFSS Heart and Stroke module included 13 questions focused on ascertaining knowledge of early symptoms of heart attack and stroke Six of the questions focused on knowledge of stroke symptoms, six on knowledge of heart attack symptoms and one question on proper first response to either stroke or heart attack Only data from states using the Heart and Stroke module were selected for inclusion in the amalgamated database. Data from 23 states, 1 territory and the District of Columbia were included in the amalgamated database The BRFSS Heart and Stroke module included 13 questions focused on ascertaining knowledge of early symptoms of heart attack and stroke Six of the questions focused on knowledge of stroke symptoms, six on knowledge of heart attack symptoms and one question on proper first response to either stroke or heart attack

Methodology Analytic Setup We examined Heart Attack and Stroke questions together (as cardiovascular events) and also separately for each condition For analysis we computed a Heart Attack and Stroke Knowledge Score for each respondent. A composite knowledge score (for both conditions) and an individual component score (heart attack and stroke separately) For the composite knowledge score the correct answers received 1 point and were categorized according to the following scale: low score 2-8 points, mid-range score points, and high score points Analytic Setup We examined Heart Attack and Stroke questions together (as cardiovascular events) and also separately for each condition For analysis we computed a Heart Attack and Stroke Knowledge Score for each respondent. A composite knowledge score (for both conditions) and an individual component score (heart attack and stroke separately) For the composite knowledge score the correct answers received 1 point and were categorized according to the following scale: low score 2-8 points, mid-range score points, and high score points

Methodology Analytic Setup For the individual knowledge score correct answers received 1 point. These scores were then categorized as either low or high scores according to the following scale: low scores 0-4 points and high scores 5-7 points Three original Behavioral Risk Factor Surveillance variables -education, annual household income and age- were re-coded for this analysis A logistic regression model was performed using low scores on the combined heart attack and stroke knowledge questions as the dependent variable Analytic Setup For the individual knowledge score correct answers received 1 point. These scores were then categorized as either low or high scores according to the following scale: low scores 0-4 points and high scores 5-7 points Three original Behavioral Risk Factor Surveillance variables -education, annual household income and age- were re-coded for this analysis A logistic regression model was performed using low scores on the combined heart attack and stroke knowledge questions as the dependent variable

Table 1. Variables & Factors% Age ≥ Education< High School30.7 ≥High School69.3 Health InsuranceYes59.5 No40.5 Household Income< $35, ≥$35, Medical Care Deferred Because of CostYes20.5 No79.5 Health Care ProviderYes54.5 No45.5 Selected Characteristics of Hispanic Men > 18 Years of Age Responding to the Heart and Stroke Module* Behavioral Risk Factor Surveillance Data (weighted n=3,001,300)** * 25 states/territories were included in this analysis. By year of data collection these were: 2003: Arkansas, Georgia, Nebraska, North Carolina, North Dakota, South Carolina 2004: Colorado, Connecticut, Kentucky, Ohio 2005: Alabama, DC, Florida, Iowa, Louisiana, Maine, Minnesota, Mississippi, Missouri, Montana, Oklahoma, Tennessee, US Virgin Islands, Virginia, West Virginia** unweighted n=2023

Table 2. Heart Attack and Stroke Knowledge Questions with Correct ResponsesHispanic Men > 18 Years of Age Behavioral Risk Factor Surveillance Data (weighted n=3,001,300)** Survey Questions % Correct Answers Heart Attack Do you think pain or discomfort in the jaw, neck, or back are symptoms of a heart attack?(Yes) 34.6 Do you think feeling weak, lightheaded, or faint are symptoms of a heart attack? (Yes) 62.3 Do you think chest pain or discomfort are symptoms for a heart attack? (Yes) 87.0 Do you think sudden trouble seeing in one or both eyes is a symptom of a heart attack? (No) 55.9 Do you think pain or discomfort in the arms or shoulders are symptoms of a heart attack? (Yes) 71.5 Do you think shortness of breath is a symptom of a heart attack? (Yes) 80.8 Stroke Do you think sudden confusion or trouble speaking are symptoms of a stroke? (Yes) 79.6 Do you think sudden numbness or weakness of face, arm, or leg, especially on one side are symptoms of a stroke? (Yes) 86.6 Do you think sudden trouble seeing in one or both eyes is a symptom of a stroke? (Yes) 72.8 Do you think sudden chest pain or discomfort are symptoms of a stroke? (No) 45.1 Do you think sudden trouble walking, dizziness, or loss of balance are symptoms of a stroke? (Yes) 82.2 Do you think severe headache with no known cause is a symptom of a stroke? (Yes) 52.6 First Response If you thought someone was having a heart attack or a stroke, what is the first thing you would do? (911) 80.4 ** unweighted n=2023

Table 3. Descriptive Statistics of Heart Attack and Stroke Knowledge Scores of Hispanic Men > 18 Years of Age Behavioral Risk Factor Surveillance Data (weighted n=3,001,300)** Composite Heart Attack, Stroke and First Response Knowledge Score Heart Attack and First Response Knowledge Score Stroke and First Response Knowledge Score Score category Low Mid-Range32.0 High Range of Knowledge Scores Mean Knowledge Scores Std. Deviation ** unweighted n=2023

Table 4. Bivariate Analysis of Hispanic Men 18 Years of Age By Independent Variables and Heart Attack and Stroke Knowledge Score Level Behavioral Risk Factor Surveillance Data Contingency Coefficient=.107, p<.00 Odds Ratio For Education ( High School): Low Scorers=1.619 (95% CI: 1.615, 1.624) Odds Ratio For Have Health Care Provider (Yes / No): High Scorers= (95% CI: 2.054, 2.097) Odds Ratio for Annual Household Income ( $35,000): Low Scorers= (95% CI: 1.214, 1.223) Odds Ratio For Was Medical Care Deferred Because Of Cost (Yes / No): Low Scorers= (95% CI: 1.240, 1.249) Odds Ratio for Have Health Insurance (Yes / No): High Scorers=1.636 (95% CI: 1.620, 1.651) Variables Factors Contingency Coefficient and Unadjusted Odds Ratio (95% CI) High Score | Low Score Age ≥ Education < High School ≥High School Health Care Provider Yes No Household Income < $35,000 ≥$35,000 Medical Care Deferred Because of CostYes No Health Insurance Yes No

Table 5. Multivariate Logistic Regression Results forHeart Attack and Stroke Low Knowledge Score for Hispanic Men > Behavioral Risk Factor Surveillance Data Variables FactorsAdjusted Odds Ratio (95% CI) Age Categories (vs. >55) (.252,.264) (.367,.384) Education (vs. >High School)< High School (15.735, ) Have Health Insurance (vs. Yes)No (1.519, 1.569) Annual Household Income (vs. >$35,000)< $35, (.945,.972) Was Medical Care Deferred Because Of Cost (vs. Yes)No (2.059, 2.138) Have Health Care Provider (vs. Yes)No (2.019, 2.089)

Discussion One in three or 33.2% of U.S. Hispanic men scored in the low range on the composite heart attack and stroke knowledge questions There was an overall confusion when it came to correctly identifying symptoms for both stroke and heart attack There was a substantial difference between the levels of knowledge on stroke symptoms when compared to heart attack symptoms with 40.0% of U.S. Hispanic men earning low scores on heart attack and first response questions and 32.6% earning low scores on stroke and first response questions An astonishingly high percent of U.S. Hispanic men (almost 20.0%) failed to recognize that calling 911 was the appropriate first response to heart attack and stroke The analysis revealed a substantial gap in knowledge of heart attack and stroke symptom knowledge among U.S. Hispanic men One in three or 33.2% of U.S. Hispanic men scored in the low range on the composite heart attack and stroke knowledge questions There was an overall confusion when it came to correctly identifying symptoms for both stroke and heart attack There was a substantial difference between the levels of knowledge on stroke symptoms when compared to heart attack symptoms with 40.0% of U.S. Hispanic men earning low scores on heart attack and first response questions and 32.6% earning low scores on stroke and first response questions An astonishingly high percent of U.S. Hispanic men (almost 20.0%) failed to recognize that calling 911 was the appropriate first response to heart attack and stroke The analysis revealed a substantial gap in knowledge of heart attack and stroke symptom knowledge among U.S. Hispanic men

Limitations Survey is based on telephone derived data and may be skewed if persons of lower socioeconomic status were less likely to be included because of poorer phone access The survey consists of close ended questions and this may result in an overestimation of knowledge It is possible that the non-responders to the Behavioral Risk Factor Surveillance Survey might have scored differently on the questions skewing the results. After reviewing the source of the database, it was still unclear whether the survey for this module was available to participants who did not speak English Newly arrived immigrants may not be willing to participate in a phone survey if they feared their immigration status could be jeopardized Survey is based on telephone derived data and may be skewed if persons of lower socioeconomic status were less likely to be included because of poorer phone access The survey consists of close ended questions and this may result in an overestimation of knowledge It is possible that the non-responders to the Behavioral Risk Factor Surveillance Survey might have scored differently on the questions skewing the results. After reviewing the source of the database, it was still unclear whether the survey for this module was available to participants who did not speak English Newly arrived immigrants may not be willing to participate in a phone survey if they feared their immigration status could be jeopardized

Findings support the need to analyze the differences within a population group 69% of the sample had at least a high school education 59.5% had health insurance 55% of the sample had an identified health care provider Multivariate analysis of the group shows there were significant within- group differences Findings support the need to analyze the differences within a population group 69% of the sample had at least a high school education 59.5% had health insurance 55% of the sample had an identified health care provider Multivariate analysis of the group shows there were significant within- group differences Conclusions

Targeting educational efforts toward older (> 55 years) Hispanic men with less than high school education, those who don’t have an identified health care provider or health insurance, and who were deferring health care because of cost would perhaps be ways to improve the outcome of acute vascular events among the Hispanic adult male population By educating this group of U.S. Hispanic men on signs and symptoms of heart attack and stroke and knowing how to seek care, the public health status would be improved Early intervention can improve outcomes in morbidity and mortality leading to less public health care costs such as long term rehabilitation, Medicare and Medicaid support and social security disability costs Targeting educational efforts toward older (> 55 years) Hispanic men with less than high school education, those who don’t have an identified health care provider or health insurance, and who were deferring health care because of cost would perhaps be ways to improve the outcome of acute vascular events among the Hispanic adult male population By educating this group of U.S. Hispanic men on signs and symptoms of heart attack and stroke and knowing how to seek care, the public health status would be improved Early intervention can improve outcomes in morbidity and mortality leading to less public health care costs such as long term rehabilitation, Medicare and Medicaid support and social security disability costs Recommendations

This article is under review at: Ethnicity and Disease