Interventions to Reduce Cervical Cancer Risk in Appalachia ...Interventions to Reduce Cervical...
Transcript of Interventions to Reduce Cervical Cancer Risk in Appalachia ...Interventions to Reduce Cervical...
Interventions to Reduce Cervical Cancer Risk in Appalachia Ohio
Electra D. Paskett, Ph.D.
Ohio State University
Supported by NCI Grant Number P50 CA105632
National Cancer Institute
Cervical Cancer
6
8
10
Appalachia Non-Appalachia
80%
100%
Appalachia Non-Appalachia
73.7%82.7%
9.6
7.7
Incidence(2001-2005)
0
2
4
6
Mortality(2001-2005)
0%
20%
40%
60%
Pap Test in past 3 years
(18+ yrs, intact cervix, 2007)
Ohio BRFSS
73.7%82.7%
3.12.3
Ohio Cancer Incidence Surveillance System
Cells to Society: Overcoming Health Disparities
http://cancercontrol.cancer.gov/populationhealthcenters/cphhd/index.html
Centers for Population Health and Health Disparities
DETROIT
CHICAGOPHILADELPHIA
BOSTON
SANTA MONICA
GALVESTON
WASHINGTONAPPALACHIA
Mission
� Integrate the basic, population, and clinical sciences.
� Develop innovative transdisciplinary methods.
Create linkages with the community.� Create linkages with the community.
� Translate research to change policy and practice.
� Train the next generation of investigators.
One of the Few NCI Initiatives that Spans Basic Biology to the Population“From Cells to Society”
Clinical Translation,
Physical Environment
Genetics, Biology
Behavior& Individual Risk Factors
Socio-Cultural
Context & Relationships
Translation, Community,Institutions,
Neighborhood,& Policy
Upstream Factors
Model for Analysis of Population Health and Health Disparities
Social and
FundamentalCauses
Disparate Health
Social Conditions and PoliciesCulture, Norms, Racism, Sexism
Discrimination, Public Policies, Poverty
InstitutionsHealth Care System, Families, Churches, Community-based organizations, Legal
System, Media, Political System
Social/Physical ContextCollective Efficacy, Social Capital,
Access to Resources, Social Cohesion, Segregation, Neighborhood Disadvantage,
Neighborhood Stability
Upstream Factors
Individual Risk FactorsAge, SES, Education, Obesity, Tobacco Use, Acculturation,
Diet, Race
Downstream Factors
Biologic/Genetic PathwaysAllostatic Load, Metabolic Processes,
Physiological Pathways, Genetic Mechanisms
Warnecke et al., AJPH 2008
Social and Physical Context
Individual Demographic and Risk Factors
Biologic Responses and Pathways
Disparate Health Outcomes
Social RelationshipsSocial Networks, Social Support
Social Influences, Social Engagement
Neighborhood Stability
Downstream Factors
Research Teams of the Future
MULTIDISCIPLINARYMULTIDISCIPLINARY
�� SeparateSeparate bodies of bodies of knowledgeknowledge
�� DifferentDifferent“languages”“languages”
MULTIDISCIPLINARYMULTIDISCIPLINARY INTERDISCIPLINARYINTERDISCIPLINARY
Research Teams of the Future
�� SeparateSeparate bodies of bodies of knowledgeknowledge
�� DifferentDifferent“languages”“languages”
�� SharedShared bodies of bodies of knowledgeknowledge
�� SharedShared“vocabulary”“vocabulary”
Research Teams of the Future
MULTIDISCIPLINARYMULTIDISCIPLINARY INTERDISCIPLINARYINTERDISCIPLINARY TRANSDISCIPLINARYTRANSDISCIPLINARY
�� SeparateSeparate bodies of bodies of knowledgeknowledge
�� DifferentDifferent“languages”“languages”
�� SharedShared bodies of bodies of knowledgeknowledge
�� SharedShared“vocabulary”“vocabulary”
�� Shared languageShared language
�� PooledPooled bodies of bodies of knowledge and knowledge and theorytheory
�� JointlyJointly--developeddevelopednew methodsnew methods
Neighborhood/Community Context
Community Engagement
Preclinical Impact on Biomarker
CPHHD Transdisciplinary Research Framework:
Emerging Cross-Center Themes
Preclinical and Clinical Studies
Impact on Patient and Community
Biomarker & Animal Model Studies
Genetics, Biological Basis of Disparities, Biomarkers for
Risk Assessment and Screening
Etiology, Screening, Treatment
Dissemination of Research, Quality of Life, Access to Care,
Policy
Goal
To understand why Appalachian
OSU Center For Population Health
And Health Disparities
To understand why Appalachian Ohio women have high
incidence and mortality rates for cervical cancer.
Theoretical Framework:Social Determinants Of Health
PsychologicalMotivationKnowledge/ Risk
WorkOccupationRegulations
Social EnvironmentSocial capitalSocial cohesionSocial networkNeighborhood disadvantage
Social StructureEducationHealth Care Delivery
Material FactorsIncomeTransportation
CultureAppalachian Norms
Knowledge/ RiskBrainStressDepressionNicotine dependence
Morbidity/MortalityHealth Status/Outcomes
General HealthCervical Health
Pathophysiological Changes
HPVCINCarcinogenesis
Health BehaviorCervical screening
Tobacco Use
Sexual activity
Contraception
Alcohol use
Diet
Early life
Genes
Marmot and Wilkinson, 2001
ScreeningRisky Behaviors
- HPV
- Pap Smear
Cervical Cancer
Follow-upOf Abnormalities
- HPV
- Smoking
14 Clinics
Observational Study
N=571Multi-level factors associated with tobacco use and Pap testing
Project 1
N=286
Project 2
N=302N=286
Pap smear use:
•Risk appropriate guidelines
•Barriers counseling
N=302
Smoking cessation:
•Biochemical validation
•Pharma-based intervention with
behavioral component
RCT testing LHA vs. usual care
Project 3 N=1360
Case-control study
•HPV testing, Pap smear, EBV titers, Cotinine
•TGF-Beta receptor
MONROE
MORGAN
NOBLEPERRY
SON
CARROLL
COLUMBIANA
BELMONT
COSHOCTON
GUERNSEY
HARRISON
HOLMESJEFFER
Regions 1-4
MUSKINGHAM
2
3
4
56
7
81
TUSCARAWAS
ADAMS
ATHENS
BROWNGALLIA
HIGHLAND
HOCKING
JACKSON
LAWRENCE
MEIGS
MORGAN
PIKE
ROSS
SCIOTO
VINTON
WASHINGTON
CLERMONT
Region 1
Region 2
Region 3
Region 4
12
9
10
11
13
1415
16
Clinic locations
What have we What have we learned so learned so learned so learned so
far?far?
Cervical Cancer Risk
� High rate of Abnormal Pap Smears – 12% vs. 3-5% in U.S.
� High rate of smoking – 28% vs. 21% in U.S.
Rate of HPV positivity - 13% vs. 4% in U.S. � Rate of HPV positivity - 13% vs. 4% in U.S.
� High rate of smoking among women with abnormal Pap tests – 69%
� High rate of depressive symptoms - 31%
� Most women were at high risk of developing cervical cancer - 79%
(Paskett et. al.; Wewers et. al.; Ruffin et. al.)
Social Factors� Women with few social contacts more
likely to smoke
� Women reported feeling “stressed” and isolatedand isolated
� Women do not trust health care providers nor do they feel respected by them
� Access to care is influenced by geographic barriers, cost, and transportation
� Providers reported women felt “hopeless”
(Wewers, et al., under review; Katz, et al., under review; McAlerney, et al., under review)
Cervical Cancer
Healthcare accessHealthcare provider trust
Abnormal Pap test ratesSmoking prevalenceHPV rates
Appalachian Culture
HPV ratesPovertyRisky sex behaviorsDepression
Lay Health Advisor Lay Health Advisor Intervention to Intervention to
Improve Pap Smear Improve Pap Smear Utilization among Ohio Utilization among Ohio Appalachian WomenAppalachian WomenAppalachian WomenAppalachian Women
Electra D. Paskett, PhD, Mira Katz, PhD, Electra D. Paskett, PhD, Mira Katz, PhD, Paul Reiter, PhD, Jill M. Oliveri, MPH, DrPH, Paul Reiter, PhD, Jill M. Oliveri, MPH, DrPH, Amy Lehman, MS, Stan Lemeshow, PhD, Amy Lehman, MS, Stan Lemeshow, PhD, Douglas Post, PhD and Mack Ruffin, MDDouglas Post, PhD and Mack Ruffin, MD
Eligibility CriteriaEligibility Criteria
�� Age 18 and olderAge 18 and older
�� No history of cervical cancerNo history of cervical cancer
�� English speakingEnglish speaking
�� Not pregnantNot pregnant�� Not pregnantNot pregnant
�� Randomly selected from clinic Randomly selected from clinic populationpopulation
�� In need of a Pap smearIn need of a Pap smear
�� Agree to participateAgree to participate
Screened At Least Annually
Women At Higher Risk(engage in risky sexual behaviors, smoke,
or have HPV)
Screened At Least Every 3 Years
Women At Normal Risk
Components of the Intervention
�� Two inTwo in--person visits by a LHAperson visits by a LHA
�� Mailed materials based on Stages of Mailed materials based on Stages of ChangeChange
�� Phone callsPhone calls
LHA assessed cervical cancer risk, LHA assessed cervical cancer risk, �� LHA assessed cervical cancer risk, LHA assessed cervical cancer risk, addressed barriers to receiving a Pap test, addressed barriers to receiving a Pap test, and provided educational materials. and provided educational materials.
�� Usual Care received a letter from their Usual Care received a letter from their doctor and brochure about Pap testsdoctor and brochure about Pap tests
�� Women were in program for 10 monthsWomen were in program for 10 months
Preliminary ResultsResults
N=271
Participant Demographics (N=271)
Variable Level Control
N (%)
Interv
N (%)
Total
N (%)
p-value
Age (yrs)
18-30 27 (19) 42 (29) 69 (24) NS
31-50 66 (47) 59 (40) 125 (44)
51+ 47 (34) 45 (31) 92 (32)
Educ <HS 10 (7) 10 (7) 20 (7) NS
HS grad 56 (40) 61 (42) 117 (41)
College 74 (53) 75 (51) 149 (52)
Race White 134 (96) 139 (95) 273 (96) NS
Non-wh 6 (4) 7 (5) 13 (5)
Participant Demographics (N=271)
Variable Level Control
N (%)
Interv
N (%)
Total
N (%)
p-value
Income <$20K<$20K 49 (38)49 (38) 50 (37)50 (37) 99 (37)99 (37) NSNS
$20$20--50K50K 45 (35)45 (35) 55 (40)55 (40) 100 (38)100 (38)
>$50K>$50K 35 (27)35 (27) 32 (23)32 (23) 67 (25)67 (25)>$50K>$50K 35 (27)35 (27) 32 (23)32 (23) 67 (25)67 (25)
MS NeverNever 16 (12)16 (12) 15 (10)15 (10) 31 (11)31 (11) NSNS
MarriedMarried 82 (59)82 (59) 99 (68)99 (68) 181 (64)181 (64)
Div/WidDiv/Wid 41 (30)41 (30) 32 (22)32 (22) 73 (26)73 (26)
Hlth Ins PrivatePrivate 83 (59)83 (59) 83 (57)83 (57) 166 (58)166 (58) NSNS
Gov’tGov’t 36 (26)36 (26) 31 (21)31 (21) 67 (24)67 (24)
NoneNone 21 (15)21 (15) 31 (21)31 (21) 52 (18)52 (18)
Calculation of Primary Outcome
�� For every participant, the 12 month For every participant, the 12 month followfollow--up date was calculated as the up date was calculated as the minimumminimum of:of:
�� One year after the control materials One year after the control materials �� One year after the control materials One year after the control materials were mailed (control group) or the first were mailed (control group) or the first intervention visit (intervention group), intervention visit (intervention group), oror
�� 14 months after the baseline interview 14 months after the baseline interview (both control and intervention) (both control and intervention)
Summary of Pap Status (N=271)
Treatment Arm
Pap date checked and not within last 12 months
Pap date checked and within last 12 months
Total
Control 92 (71%) 38 (29%) 130 Control 92 (71%) 38 (29%) 130
Intervention 87 (62%) 54 (38%) 141
Total 179 (66%) 92 (34%) 271
Crude Odds Ratio =1.50; p= 0.1162
Predictors of Pap Smear Use-Multivariate Model*
�� Age: 30 < age ≤ 50 vs. Age ≤ Age: 30 < age ≤ 50 vs. Age ≤ 30 yrs30 yrs
OR = 0.44 (p=.05) OR = 0.44 (p=.05) �� OR = 0.44 (p=.05) OR = 0.44 (p=.05)
�� Previous Abnormal Pap Test: Previous Abnormal Pap Test: Yes vs NoYes vs No
�� OR = 1.89 (p=.05)OR = 1.89 (p=.05)
*Adjusted for all variables and clinic included as a random effect in the model
Upstream Factors
Model for Analysis of Population Health and Health Disparities
Social and
FundamentalCauses
Disparate Health
Social Conditions and PoliciesCulture, Norms, Racism, Sexism
Discrimination, Public Policies, Poverty
InstitutionsHealth Care System, Families, Churches, Community-based organizations, Legal
System, Media, Political System
Social/Physical ContextCollective Efficacy, Social Capital,
Access to Resources, Social Cohesion,Segregation, Neighborhood Disadvantage,
Neighborhood Stability
Upstream Factors
Individual Risk FactorsAge, SES, Education, Obesity, Tobacco Use, Acculturation,
Diet, Race
Downstream Factors
Biologic/Genetic PathwaysAllostatic Load, Metabolic Processes,
Physiological Pathways, Genetic Mechanisms
Warnecke et al., AJPH 2008
Social and Physical Context
Individual Demographic and Risk Factors
Biologic Responses and Pathways
Disparate Health Outcomes
Social RelationshipsSocial Networks, Social Support
Social Influences, Social Engagement
Neighborhood Stability
Downstream Factors
SmokingPap Test
What We Knew About Cervical Cancer In 2002
HPV
Pap Test
Individual Behaviors
� 3 factors
� Research focus was one level
New Model
Abnormal Cervical CellsCervical Cancer Cells
Social Networks SES
Marital Status
TobaccoSexual
Behaviors
HPVIntroduced
Appalachian Culture
Access To Care
Trust Physicians
Health Policy
GeneticsEnvironmental
Exposures
TGFB
Exercise Diet
Immune System
Built Environment
Comprehensive Cancer CenterCathy TatumCecilia DeGraffinreidMelissa HicksDarla Fickle Jill Oliveri
College of Nursing
Center For Population Health And Health Disparities“Reducing Cervical Cancer In Appalachia”
College of Public HealthElectra PaskettMary Ellen WewersStanley LemeshowMira KatzAmy FerketichAnn McAlearney
Center For BiostatisticsAmy LehmanErinn HadeBryan BallDale Rhoda
University of MichiganMack RuffinPaula Lantz
College of NursingKaren AhijevychJudy HarnessPamela Salsberry
Medicine and Family MedicineDouglas PostDavid Cohn
ConsultantsBeti ThompsonElizabeth Unger
Department of EconomicsPatricia Reagan
Department of PathologyScott Jewell
Dale Rhoda
THANK YOU TO OUR FIELD STAFF AND PARTICPANTS!!!!