The Impact of SCHIP Enrollment and Managed Care Organizational Characteristics on Preventive Care Elizabeth Shenkman, PhD Bruce Vogel, PhD Lise Youngblade,

Slides:



Advertisements
Similar presentations
Socioeconomic Inequalities in Health Among Canadian Women with Heart Disease Arlene S. Bierman, M.D., M.S Ontario Womens Health Council Chair in Womens.
Advertisements

Impact of SCHIP on Vulnerable Children: Findings from Cindy Brach, Agency for Healthcare Research and Quality.
Maternal and Child Health Bureau DECEMBER SLAITS Survey on Children with Special Health Care Needs Bonnie Strickland, Ph.D. MCHCOM.COM Webcast December.
Reducing Infant Mortality in Maryland S. Lee Woods, M.D., Ph.D. Medical Director, Center for Maternal and Child Health Maryland Department of Health &
ORAL HEALTH STATUS, UNITED STATES Copyright© 2007 by the American Dental Education Association.
Impact of a Voucher Program on Consumer Choices of Personal Assistance Providers: Urban-Rural Differences Hongdao Meng, Ph.D., Stony Brook University Brenda.
CHILDREN’S MENTAL HEALTH PROBLEMS IN RHODE ISLAND: THE PREVALENCE AND RISK FACTORS Hanna Kim, PhD and Samara Viner-Brown, MS Rhode Island Department of.
Foster Care Reentry Going Beyond 12 Months of Follow-up Terry V. Shaw, MSW, PhD Daniel Webster, MSW, PhD University of California, Berkeley School of Social.
Noreen M. Clark, Ph.D. Myron E. Wegman Distinguished University Professor Director, Center for Managing Chronic Disease University of Michigan DETROIT.
Agency for Healthcare Research and Quality Advancing Excellence in Health Care Trends in the.
Correlates of Driving Under the Influence of Alcohol in Adolescence A Secondary Data Analysis of the 1992 National Health Behavior Survey Presented at.
The Primary Care Experience of Hispanic Children: Current Disparities and Trends in Access to and Quality of Care William Freeman, MPH Health Scientist.
Health Resources and Services Administration Maternal And Child Health Bureau Healthy Start What’s Happening Maribeth Badura, M.S.N. Dept. of Health and.
Healthy Kansans living in safe and sustainable environments.
1 Predictors of Retention in Care Among HIV+ and At-Risk Youth Sion Kim Harris, PhD Cathryn L. Samples, MD, MPH Peter Keenan, RN, C-PNP Durrell J. Fox,
Children’s Health Insurance Matters: Findings from Surveys of Healthy Kids Participants Grantmakers in Health Site Visit Meeting Christopher Trenholm Mathematica.
SCHIP's Impact on Access and Quality: Findings from Karen VanLandeghem, Consultant, CHIRI™ Cindy Brach, Agency for Healthcare Research and Quality.
Center for Children with Special Needs 1 Medicaid managed care for children with special health care needs: Which services need to improve? Jacquie Stock,
Chart 7.1: U.S. Population Trends and Projections by Age, 1980 – 2060 (1) Source: U.S. Department of Commerce, Bureau of the Census. Projections of the.
Demonstration of a Process- Outcome Link for Smoking Cessation Melissa M. Farmer, PhD 1,2 Elizabeth M. Yano, PhD 1,2 Brian S. Mittman, PhD 1,2 Scott E.
National Indian Health Board Annual Consumers Conference September 2014 CMS Tribal Technical Advisory Group Data Project Update Mark LeBeau, PhD Executive.
Agency: Planned Parenthood of Delaware Intern: Bevin Hileman.
Impact of the Kenya Cash Transfer for Orphans and Vulnerable Children Program on HIV Risk Behavior Sudhanshu Handa, Carolyn Halpern, Audrey Pettifor, Harsha.
Why are White Nursing Home Residents Twice as Likely as African Americans to Have an Advance Directive? Understanding Ethnic Differences in Advance Care.
1 South Carolina Medicaid Coordinated Care and Enrollment Counselors Programs.
Mental Healthcare Utilization as Adolescents Become Young Adults Jennifer W. Yu, Sc.D. Sally H. Adams, Ph.D. Claire Brindis, Dr.P.H. Charles E. Irwin,
Maryland Department of Health and Mental Hygiene WB&A Market Research Executive Summary THE 2003 MARYLAND MEDICAID MANAGED CARE CUSTOMER SATISFACTION SURVEY.
1 End of Life Expenditure Patterns for Medicaid Eligible Infants and Children Caprice Knapp, PhD Lindsay Thompson, MD MS Bruce Vogel, PhD Elizabeth Shenkman,
1 Minnesota Medical Home Project: Evaluation Feasibility Study Saturday, June 7, 2008 SHRIG Meeting, Academy Health.
Annual Report. Active Clients Women 678 Infants (
Predictors of Buprenorphine Adoption in Methadone and non- Methadone Treatment Settings Lori J. Ducharme, Ph.D. Hannah K. Knudsen, Ph.D. Paul M. Roman,
Quality Measurement and Gender Differences in Managed Care Populations with Chronic Diseases Ann F. Chou Carol Weisman Arlene Bierman Sarah Hudson Scholle.
Preparing for an Expanded Medicaid Population under the ACA: Undiagnosed and Untreated Health Needs Sandra Decker, Deliana Kostova, Genevieve Kenney and.
Healthy People 2010 Focus Area 1 Access to Quality Health Services Progress Review June 4, 2002.
Medicare Home Health and The Role of Physicians Jennifer L. Wolff, Ann Meadow, Carlos O. Weiss, Cynthia M. Boyd, Bruce Leff June 2008.
Health Insurance and the Uninsured in Kansas February 2008 Kansas Health Institute This chartpack may be used as a presentation in its entirety. Individual.
APHA Annual Meeting Philadelphia 11/12/02 State Children’s Health Insurance Program (SCHIP) Created in 1997 with enactment of Title XXI of the Social.
Health Insurance and the Uninsured in Kansas April 2009 Kansas Health Institute Chartpack.
Felicia Yang DeLeone, Institute for Children, Poverty and Homelessness Dona Anderson, Homes for the Homeless November 7, 2011 Child Care Use in Homeless.
Evaluating the Impact of Medicaid Managed Care on Preventive Health Care Use by Children and Adolescents June 24, 2006 Todd Eberly, Ph.D. Child Health.
Differences in Access to Care for Asian and White Adults Merrile Sing, Ph.D. September 8, 2008.
Department of Planning, Public Policy & Management The University of Oregon Consumers’ Use of Preventive Care in CDHPs Jessica Greene PhD Judith Hibbard.
Predicting Pregnancy Risk among Women Attending an STD Clinic Judith Shlay MD, MSPH Denver Public Health September 21, 2008 CityMatCH Conference.
Results of the Adolescent Well-Care Focused Study Tuesday, June 19, :15 p.m. –12:00 p.m. David Mabb, MS, CHCA Sr. Director, Statistical Evaluation.
Background Objectives Results Methods Within State Geographic Variation in Antipsychotic Medication Treatment for Medicaid-insured Children and Adolescents.
1 Ethnic Disparities in SCHIP: The Role of Acculturation Susan G. Haber, Sc.D. Janet B. Mitchell, Ph.D. Sonja Hoover, M.P.P. (presenting) RTI International.
Effects of the State Children’s Health Insurance Program on Children with Chronic Health Conditions Amy J. Davidoff, Ph.D. Genevieve Kenney, Ph.D. Lisa.
Impact of a Voucher Program on Consumer Choices of Personal Assistance Providers: Unintended Consequences Hongdao Meng, Ph.D., Stony Brook University Brenda.
What Role Does SCHIP Play in the Patchwork Insurance System for Children? Andrew W. Dick PhD 1 R. Andrew Allison PhD 2 Peter G. Szilagyi MD, MPH 3,1 Betsy.
Primary Care Physician Response to a Mental Health Carve-Out: An Economic Analysis Ashley Aull Dunham Jennifer L. Troyer William P. Brandon UNC-Charlotte.
Healthy People 2010 Focus Area 1: Access to Quality Health Services Progress Review June 15, 2006.
Managed Care Organizational Characteristics and Outpatient Specialty Use Among Children With Chronic Conditions Betsy Shenkman, Lili Tian, John Nackashi,
Youth Who Received Informal Handling/Supervision in 2006 DCJ Quality & Evaluation Services April 2009 Prepared by: Liang Wu, Sr. Research Analyst Charlene.
Restaurant Smoking Policies and Reported Exposure to ETS The case of Massachusetts Tandiwe Njobe National Conference on Tobacco or Health November 2002.
Effects of the State Children’s Health Insurance Program on Children with Chronic Health Conditions Amy J. Davidoff, Ph.D. Genevieve Kenney, Ph.D. Lisa.
Pediatric Asthma Hospitalizations: Impact of Managed Care in the Patterns of Outpatient Healthcare Utilization Capriles, JA., Rodríguez, MH., Rios, R.,
Clare Meernik, MPH 1 ; Anna McCullough, MSW, MSPH, CTTS 1 ; Leah Ranney, PhD 1 ; Barbara Walsh 2 ; Adam O. Goldstein, MD, MPH 1 Predictors of Quit for.
Trends in Access to Substance Abuse Treatment for Women and Men: Jeanne C. Marsh, PhD, Hee-Choon Shin, PhD, Dingcai Cao, PhD University of Chicago.
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:
Is There Differential Retention of Children with Special Health Care Needs in SCHIP? Ms. Tamarie Macon, Dr. Jane Miller, Dr. Dorothy Gaboda, Ms. Theresa.
Trends in HIV-Related Risk Behaviors Among U.S. Adolescents: 15 Years of Progress Laura Kann, Ph.D. Richard Lowry, M.D. Nancy Brener, Ph.D. Danice Eaton,
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.
Pediatric preventive care: What determines whether patients are counseled about health behaviors and injury prevention? Cynthia Perry and Genevieve Kenney.
Impact of SCHIP on Racial Disparities in Medicaid Enrollment and Prenatal Care Initiation among Pregnant Teens and Young Adults in Florida Tzy-Mey Kuo,
Adolescents’ Discussions about Health-Promoting and Health-Risk Behaviors: Does It Matter Who They’re Talking To? Laura A. Curry, PhD Lise M. Youngblade,
American Public Health Association Annual Meeting
Impact if New Jersey Achieved Top-State Rates
Presentation transcript:

The Impact of SCHIP Enrollment and Managed Care Organizational Characteristics on Preventive Care Elizabeth Shenkman, PhD Bruce Vogel, PhD Lise Youngblade, PhD The University of Florida June 2004 Funded by the Agency for Healthcare Research and Quality (AHRQ) with co-funding from the David and Lucile Packard Foundation, and the Health Resources and Services Administration (AHRQ No. HS10463)

Background Adolescents at risk for morbidity and mortality – risky behaviors Preventive care visits Privacy Counseling SCHIP contract with managed care organizations (MCOs) to form provider network and deliver services Does SCHIP and the MCOs’ organizational characteristics influence preventive care, privacy, and counseling?

Study Design Longitudinal follow-up of 11.5 to 17 year olds newly enrolled in SCHIP and one year post- enrollment Adolescent interviews Demographic characteristics Risky behaviors – drinking, sexual activity, depression, seat belt use Preventive care visits Counseling during visits

Study Design MCO Characteristics For profit, not-for-profit Percentage of providers reimbursed fee-for-service (FFS) Adolescents with special health care needs (ASHCN) exempt from prior authorizations Provider profiling for quality standards Prior authorization required for referrals Allows specialists to function as primary care providers (PCPs)

Study Sample 918 SCHIP enrollees Time at Time 2 No significant differences in age, presence of special needs, family income, or gender Mean age 14.2(1.6) Mean income $22,794($8,811)

Health and Sociodemographic Characteristics

Risky Behaviors

Health Care Experiences: Time 1 and Time 2

Enrollees are 80-90% more like to have privacy during a visit. Enrollees are 66% more likely to have a usual source of care. Enrollees are 35% less likely to get counseling during their visits. CHIPEnrollment RiskBehaviors PhysicianVisit? Usual Source Usual Source of Care MCO MCOCharacteristics Odds Ratio = 0.65 Counseling Odds Ratio = Privacy | Visit Odds Ratio = 2.85 Teens who have privacy during their visits are almost three times as likely to receive counseling. Odds Ratio = 1.66 SCHIP ENROLLMENT Our Recursive Statistical Model

SCHIP Enrollment Influences: Usual Source of Care 66% greater odds of a usual source of care Private Visit 1.9 times more likely to have a private visit Counseling SCHIP directly reduces the likelihood of counseling BUT increases the likelihood of privacy, which increases the likelihood of counseling. The effects seem to offset each other.

Teens in for-profit plans are twice as likely to report receiving counseling. Teens in plans where CSHCNs are exempt from prior utilization have fewer risky behaviors. Teens in plans that use provider quality profiling are 2.4 times more likely to report a usual source of care. Teens in plans where CSHCNs are exempt from prior authoriziation are twice as likely to receive counseling. CHIPEnrollment RiskBehaviors PhysicianVisit? Usual Source Usual Source of Care Odds Ratio = 1.74 Counseling Privacy | Visit Odds Ratio = 2.4 Profiling MCO CHARACTERISTICS Odds Ratio = 2.0 For Profit MCO MCOCharacteristics Odds Ratio = 2.0 No Prior Authorization Odds Ratio = 1.6 No Prior Authorization -

MCO Characteristics Influence: Usual Source of Care Provider quality profiles – 2.4 times more likely Receipt of Counseling During Visit For-profit – 2 times more likely CSHCN exempt from prior authorization – 1.6 times more likely No other MCO influences seen

Older teens are more likely than younger teens to report having a private visit. Black non-Hispanics teens are 40%, less likely than White non-Hispanic teens to report having a preventive care visit. Hispanic teens are 42% less likely than White non-Hispanic teens to report having a preventive care visit. Hispanic teens are 66% less likely than White non-Hispanic teens to report having a usual source of care. CHIPEnrollment RiskBehaviors PhysicianVisit? Usual Source Usual Source of Care MCO MCOCharacteristics Black Non-Hispanic Odds Ratio = 0.60 Counseling Hispanic Odds Ratio = 0.58 Privacy | Visit Age SOCIODEMOGRAPHICCHARACTERISTICS Hispanic Odds Ratio = 0.34

Sociodemographic Characteristics Influence: Usual Source of Care Hispanics – 66% less likely than White non-Hispanic children Preventive Care Visits Hispanics – 42% less likely Black non-Hispanics – 40% less likely Privacy During Visit Odds increase with age

If the visit is private, the teen is almost three times as likely to receive counseling. Depressed teens are twice as likely to report having a preventive care visit. Teens with special health care needs are more than twice as likely to have a preventive care visit. If the teen has special health care needs, she is 2.6 times more likely to receive counseling. CHIPEnrollment RiskBehaviors PhysicianVisit? Usual Source Usual Source of Care MCO MCOCharacteristics Odds Ratio = 2.85 Counseling Privacy | Visit Depression Odds Ratio = 2.0 OTHER FACTORS ASHCN Odds Ratio = 2.3 Odds Ratio = 2.57 Odds Ratio = 1.74 A teen having one additional risk behavior is 1.7 times more likely to receive counseling.

Other Influences: Preventive Care Visits Depression – 2 times more likely to have a visit If ASHCN – 2 times more likely to have visit Counseling If the visit is private – 3 times more likely to get counseling If ASHCN – 2.5 times more likely to get counseling One reported risk behaviors 1.7 times more likely to get counseling than those with none. See increasing odds with increasing numbers of risk behaviors

Summary SCHIP improves access to usual source of care and private visits Limited number of MCO characteristics important for usual source of care and counseling Black non-Hispanic and Hispanic children remain at risk after enrollment for not having a usual source of care or receiving a preventive care visit

Summary Health status – presence of special needs, reporting feelings of depression important for visits Physicians targeting counseling towards those with risky behaviors and not all adolescents Ensuring privacy during visits very important Strongest effects on preventive care, privacy and counseling related to individual adolescent characteristics