BACKGROUND RESULTS METHODS

Slides:



Advertisements
Similar presentations
Understanding Those Who Do and Do Not Plan to Get Colorectal Cancer (CRC) Screening Costanza ME, White MJ, Stark JR, Stoddard AM, Avrunin JS, Luckmann.
Advertisements

Multitarget Stool DNA Testing for Colorectal-Cancer Screening NEJM April 3, 2014 Vol 3 Imperiale, T.F. et al Presented by Melissa Spera, MD.
Sex Differences in the Prevalence and Correlates of Colorectal Cancer Testing: Health Information National Trends Survey Sally W. Vernon 1, Amy.
Demographics 14,583 people. 6,137 housing units The racial makeup 97.31% White, 0.23% African American, 2.03% Native American, 0.76% Asian,
Colorectal cancer: How do we approach health disparities? Marta L. Davila, MD, FASGE University of Texas MD Anderson Cancer Center.
Colorectal Cancer Screening John Pelzel MD Sleepy Eye Medical Center.
Haley Hyde Jessica Fordham Jena Hamm  Colorectal cancer is a leading cause of cancer related deaths every year.  150,000 Americans will be diagnosed.
Chapter 6 Race and Ethnicity. Frameworks for Defining Minority Experience in the United States Melting Pot –Taking in people from around the world and.
Differences in the Quality of the Patient- Physician Relationship Among Terminally Ill African American and White Patients: Impact on Advance Care Planning.
1 An Overview of Colorectal Cancer in Delaware Delaware Health Care Commission November 3, 2011.
Factors Predicting Stage of Adoption for Fecal Occult Blood Testing and Colonoscopy among Non-Adherent African Americans Hsiao-Lan Wang, PhD, RN, CMSRN,
Men and Women are Different: Predictors of an Informed Decision about Colorectal Cancer Screening Kelly Brittain, PhD, RN Michigan State University 2012.
What Factors Influence Early Sexual Debut amongst Youth: Comparative Evidence from Nigeria and India ICASA 2011 Babatunde.O, Temitope.F, Imoisili.A, Alabi.F.
Presented by Duyen Le and Brian Nguyen
Disability After Traumatic Brain Injury among Hispanic Children
What does the data tell us? Colorectal CANCER IN NEVADA
Impact of Length of U.S. Residence and Health Insurance on Mammography Screening in Vietnamese American Women Gem Le, MHS 1,2 Stephen J. McPhee, MD 1 Tung.
Education and Equality of Opportunity
Access to Dental Care Pre and Post Enrollment in a State Children’s Health Insurance Program (SCHIP) Beverly Mulvihill, PhD,1 Anita Jackson, BS,1 Alice.
You've got mail: Using to recruit a representative cohort for a healthy lifestyles research study Kayla Confer, BS1, Jessica Garber, MPH1, Jody.
Factors affecting social work service use among hospice patients:
Colorectal Cancer Screening Guidelines
Paula Gardiner MD MPH Boston University Medical School
Mesfin S. Mulatu, Ph.D., M.P.H. The MayaTech Corporation
Disparities in process and outcome measures among adults with persistent asthma David M. Mosen, PhD, MPH; Michael Schatz, MD, MS; Rachel Gold, PhD; Winston.
Extreme Poverty, Poverty, and Near Poverty Rates for Children Under Age 5, by Living Arrangement: 2015 The data for Extreme Poverty, Poverty, and Near.
John Weeks1, MD Candidate 2017, Justin Hickman1, MD Candidate 2017
Patient Navigation Process
A Quality improvement initiative
CULTURALLY COMPETENT PATIENT NAVIGATION IN THE PREVENTION OF CANCER IN UNDERSERVED HISPANIC WOMEN: THE SAN ANTONIO EXPERIENCE Donald J. Dudley, M.D.,
Florida State University College of Nursing Tallahassee, Florida
Social determinants of health Georgia NLJ Polacek, Ph.D., CHES
Colorectal Cancer Screening, Medicare and Disability
Lisa Weiss, M.D. Brian F. Pendleton, Ph.D. Susan Labuda Schrop, M.S.
Women returning from Operation Iraqi Freedom/Operation Enduring Freedom: Comparison of Healthcare Utilization among Women & Men Veterans Mona Duggal MD.
Erin Green, RD;  Alisha Gaines, PhD; Jamie S Dollahite, PhD
Claire Dye, MSPH Dawn Upchurch, PhD
Table 1: NHBS HET3 Participant Characteristics
Lung Cancer Screening: Do Individual Health Beliefs Matter?
This research was supported by NIAAA K01AA
Evidence of a Program's Effectiveness in Improving Colorectal Cancer Screening Rates in Federally Qualified Health Centers Robert L. Stephens, PhD, MPH1;
Increasing Access to Colorectal Cancer Screening in Rural East Texas
Fall 2017, Statistical Methods 615, CSU, Chico
University of Witwatersrand, Johannesburg, South Africa
Urban Indian Health Institute Seattle Indian Health Board
Cognitive Impacts of Ambient Air Pollution in the National Social Health and Aging Project (NSHAP) Cohort Lindsay A. Tallon MSPH1, Vivian C. Pun PhD1,
PHQ2 Screening Negative PHQ2 Screening Positive
Trends in Colorectal Cancer Screening Among Maryland Residents Age 65 and Older Maryland Cancer Survey, Presented by: Carolyn Poppell, MS University.
Georgia Southern University 2014 Research Symposium
Mindfulness and Relapse Prevention among New Mothers during Recovery for Opioid Misuse Roxanne D. Erolin Chair: Diane Abatemarco, PhD, MSW Preceptor: Meghan.
SAMPLE – Preliminary Results
Extreme Poverty, Poverty, and Near Poverty Rates for Children Under Age 5, by Living Arrangement: 2011 The data for Extreme Poverty, Poverty, and Near.
Colorectal Natural History Model
Introduction Results Hypotheses Discussion Method
Background 1  § About 1/3 of world population infected with Tuberculosis (TB) § 25% of all avoidable deaths in developing countries due to TB.
Characteristics of Patients who Choose to Participate in a Comprehensive Medication Review (CMR) Program: Implication for Program Structure and Processes.
Therese Chan Tack, DO MPH Improving Colorectal Cancer Screening among PRIME population in Primary Care.
Prosocial Behaviors in Adolescence
Study Design/Methods Used
Supplementary Data Tables, Community Health Indicators
Citation: Cancer Care Ontario
Did not have a usual source of care Went without care because of cost
Unit 3 Economic Challenges
BeneFIT SIP: A Pilot Program of Mailed FIT Tests to Increase Colorectal Cancer Screening Rates in Medicaid / Medicare health plans.
Extreme Poverty, Poverty, and
NoelleAngelique M. Molinari, PhD Nidhi Jain, MD CDC
Colorectal cancer survival disparities in California
Jill S. Barnholtz-Sloan, PhD
Karen Wooten, MA Elizabeth Luman, MS Lawrence Barker, PhD
Diversity in the U.S. Presented by the
Presentation transcript:

BACKGROUND RESULTS METHODS Mailed Fecal Immunochemical Test (FIT) Kits to increase screening uptake in the University of Pennsylvania’s Community Service Area Ndidi Enwereji Chair: Dr. Russell McIntire Preceptor: Rebecca Pepe BACKGROUND RESULTS DISCUSSION & LIMITATIONS Response rates within the CSA were higher compared to response rates of patients residing outside the CSA (16.6% vs. 12.4%, respectively) The bivariate analysis showed positive correlation between race and CT-level median income as the main predictors of timely return of FIT kits within 2 months of patients residing in the Philadelphia-Camden-Wilmington Statistical Area in 2016 The odds of returning FIT kits within 2 months were 48.6% lower for African-American patients when compared to Whites Asians were 66.2% less likely to return their FIT kit within two months when compared to Whites Patients of Other/Unknown races also had lower response rates (52.4% less likely to return their FIT kit) when compared to Whites Patients that lived in census tracts with household median incomes earning less than $30,000 and $30,000-$45,000 were 62.8% and 62.1% less likely to return FIT kits within two months, respectively, when compared to patients residing in census tracts with median household incomes earning $100,000 or more Proximity analysis of patients residing within the CSA: Patients residing within 2.09 miles of HUP had higher response rates compared to patients residing 4.19 miles from HUP Response rate of patients residing within 2.09 miles of HUP : 59% Response rate of patients residing within 4.19 miles of HUP: 41% Limitations: Use of individual and area-level variables Use of EMR and self-reported data Need for more rigorous EMR audits Influence of financial incentives on response rate not analyzed Colorectal cancer (CRC) is the 2nd leading cause of cancer death African Americans are particularly affected Socioeconomic status (SES), gender and age are important factors that influence screening 1 in 3 adults do not comply with CRC screening Penn’s Community Service Area (CSA): A majority of families live in poverty (53% ) 49% (25 and older) have high school-level education 1 in 4 adults 50 years and older in the service area are non-compliant with CRC Fecal Immunochemical Test (FIT): Noninvasive, fecal occult blood test used to detect specific antibody for human hemoglobin A commonly used modality for CRC screening in average-risk patients Mailed to patients fitting Colorectal Cancer Screening Outreach (CRCSO) program criteria listed below (Figure 1) Research Questions: Does colonoscopy screening by mailed FIT test completion within 2 months vary significantly for patients of the CRCSO pilot program residing within vs outside the CSA? How does area-level SES correlate with FIT colonoscopy screening adherence within 2 months for patients mailed FIT kits in the pilot program? Table 1. Binary Logistic Regression of Race and Return of FIT Kit within 2 Months Table 2. Binary Logistic Regression of Median Income and Return of FIT Kit within 2 Months METHODS Population: CRCSO pilot program (eligibility criteria below) Data source: PennChart and American Census Survey Outcome: Completion and return of FIT kit within 2mths. Bivariate analysis using chi-squared statistical test to determine statistically significant variable associated with the return of FIT kits within 2 months Simple logistic regression model was used to determine the probability of patients returning their FIT kits within 2 months Proximity analysis: Geocoded patient address to census tract (CT) Buffers Table 3. Binary Logistic Regression of High School Graduation Rate and Return of FIT Kit within 2 Months CORE COMPETENCIES Analytic/Assessment Skills Communication Skills Cultural Competency Skills Community Dimensions of Practice Skills (advancing community involvement) Public Health Sciences Skills (critiquing and developing research) Leadership and Systems Thinking Skills Figure 1. Flowchart of program processes & Eligibility Criteria Eligibility Criteria: 50-75 years old 2 primary family care (PFC) visits in 2 years Philadelphia-Camden-Wilmington Metropolitan Statistical Area Average risk for CRC and eligible to receive colonoscopy   Figure 2. Proximity Analysis ACKNOWLEDGEMENTS The author would like to thank Dr. McIntire, Dr. McAna and Dr. LaNoue for providing their guidance and expertise towards the completion of this project, as well as Dr. Chyke Doubeni and Rebecca Pepe of Penn Presbyterian Medical Center for providing the data used in this study.