Reducing cervical cancer disparities in the United States requires intentional focus on structural barriers such as systems and policy that impact access to human papillomavirus (HPV) vaccination, cervical cancer screening, and treatment. Such changes are difficult and often politicized. State comprehensive cancer control (CCC) plans are vehicles that, if designed well, can help build collective focus on structural changes. Study objectives were to identify the prioritization of cervical cancer in state CCC plans, the conceptualization of HPV within these plans, and the focus of plans on structural changes to reduce cervical cancer disparities. Data were gathered by systematic content analysis of CCC plans from 50 states and the District of Columbia from February–June 2014 for evidence of cervical cancer prioritization, conceptualization of HPV, and focus on structural barriers to cervical cancer vaccination, screening or treatment. Findings indicate that prioritization of cervical cancer within state CCC plans may not be a strong indicator of state efforts to reduce screening and treatment disparities. While a majority of plans reflected scientific evidence that HPV causes cervical and other cancers, they did not focus on structural elements impacting access to evidence-based interventions. Opportunities exist to improve state CCC plans by increasing their focus on structural interventions that impact cervical cancer prevention, detection, and treatment, particularly for the 41% of plans ending in 2015 and the 31% ending between 2016 and 2020. Future studies should focus on the use of policy tools in state CCC plans and their application to cervical cancer prevention and treatment. Cancer Prev Res; 8(7); 636–41. ©2015 AACR.

Cervical cancer remains among the top 10 diagnosed cancers for African American and Hispanic women in the United States, despite dramatic declines in cervical cancer morbidity and mortality since the mid-20th century (1). Incidence rates among these minority populations (2–8) and those who are uninsured (1, 9–11) have remained relatively stable for the past several years (12–13), suggesting that system characteristics are likely preventing population health improvement.

Addressing systems problems and changing policies are examples of public health structural interventions because they alter the structural context for health. Such interventions are not often favored because they involve addressing sociopolitical arrangements in the policy process. Examples of structural interventions to reduce U.S. rates of cervical cancer include, but are not limited to, Medicaid expansion and other health financing adjustments to maximize vaccination, screening and treatment access; strengthened human papillomavirus (HPV) vaccination requirements for adolescents; and the identification and establishment of alternative HPV vaccination venues such as pharmacies and schools (14). State efforts to enact such structural interventions often meet with high levels of politicization as well as resistance to policy implementation. Despite such challenges, policy-based structural interventions are often required, because public health is centrally about addressing the conditions that affect the health of populations (15).

There have been efforts to assist community development of structural interventions. In 2010, the Centers for Disease Control and Prevention (CDC) provided 2-year funding to 50 communities across the United States to develop policy, systems and environmental interventions (“PSE”) to reduce obesity, tobacco use and second hand smoke exposure (16). Thirty-two states received funding for area (urban/rural) and topic specific (obesity/tobacco) community action planning. That same year, CDC provided 5-year funding to 13 states to demonstrate the capacity of comprehensive cancer control (CCC) programs to implement policy and environmental cancer control interventions. The intent of the funding was to develop capacity to prioritize and track state and local cancer control policy changes (17).

An important vehicle for communicating structural change is the state-level CCC plan. Well-designed CCC plans can facilitate structural efforts because they have the potential to broaden the base of support for change through strategic direction for advocacy, funding, and system change. State CCC plans are an example of what has been called “small p” policy expressions (18), because while not developed by elected officials, these plans are established and supported by state agencies and partners with the potential for broad population-level impact.

CCC plans are the result of a long-standing funding partnership between the CDC and states, territories and tribal organizations to coordinate and align the many cancer efforts toward common goals, objectives and strategies. Initiated in 1998 among five states, CCC planning is now conducted in all 50 states and the District of Columbia, seven tribal nations and in seven U.S. territories and Pacific Island jurisdictions (19–21). Evaluations of these plans have focused on their accomplishments (22–23), strength of the plan elements themselves (plan organization, use of evidence, clearly stated objectives, and mapping of funding to objectives; refs. 17, 24), and specific focus area such as genomics content, colorectal screening and HPV vaccination (18, 25–27).

Dramatically reducing or even eliminating U.S. cervical cancer disparities is within our grasp with extant public health tools of vaccination, screening, and early treatment. Therefore, we present here results from a systematic review of state CCC plans in all 50 states and the District of Columbia to see whether these cervical cancer prevention tools are emphasized, and whether structural interventions are among the stated strategies to address cervical cancer. Study objectives were to identify the prioritization of cervical cancer in state comprehensive cancer plans, understand the conceptualization of HPV in these plans, and to identify evidence of structural interventions focused on likely systems and policy barriers in the fight against cervical cancer.

A systematic content analysis of CCC plans for the 50 states and District of Columbia was conducted between February and June 2014. Plans were accessed from the National Comprehensive Cancer Control Program of the CDC (28). Jurisdictions with out-of-date plans were contacted by email to submit a more current plan by May 30, 2014.

A content analysis instrument was developed to gather text evidence of plan content focused on cervical cancer, cancer plan characteristics, and state characteristics. Indicators of plan and state characteristics were gathered to contextualize the analysis and allow for comparison between states. We abstracted data on cervical cancer plan content using the following measures: cervical cancer prioritization (whether cervical cancer was listed among the top 5 or top 10 cancer priorities); conceptualization of HPV (whether plan language articulated a relationship between HPV and cervical cancer and/or other cancers); and evidence of structural interventions to address cervical cancer. Cancer plan characteristics included the age of the plan (current, out of date), time period (years covered), cycle (newly initiated, mid, end), and endorsement (governor, legislative, state agency). Planning cycle was defined as follows: “newly initiated” referred to those plans beginning no earlier than 2013, “mid-cycle” referred to plans ending in the years between 2016 and 2020, and “end” referred to plans ending their cycle in 2015. State characteristics of interest included state population size, region (census region and division; ref. 29), and cervical cancer incidence and mortality (30). State health access indicators included the proportion of women ages 19 to 64 years who were uninsured in 2013 (31), proportion of women without a health care provider or personal doctor in 2010–2012 (31), and HPV vaccine completion rates of ≥2 doses for girls and for boys in 2013 (32). Health-related access policies of interest included whether state had expanded Medicaid (or has plans to expand; ref. 33); whether the state had expanded access for family planning services under a state Medicaid plan waiver (which expands cervical cancer screening and follow-up; ref. 34); and whether the state had religious or religious plus philosophical exemptions from school immunization requirements in 2012 (35). State funding indicators of interest included state, CDC, and Health Resources and Services Administration (HRSA) per capita public health investments (36); whether the state had a grant from CDC for policy and environmental programs interventions (37); whether the state had a community that was funded by CDC under the Communities Putting Prevention to Work to focus on PSE strategies for tobacco, obesity, or both (16); per capita CDC cancer prevention and control funding (38); per capita funding to increase HPV vaccination coverage rates among adolescents (39); and the state vaccine funding regime in 2011 (40). Vaccine funding regime refers to state financing and supply policy for childhood vaccination (up to 18 years of age) for private providers. State funding regimes are commonly classified into 5 categories: “universal purchase,” meaning that the state supplies all routinely recommended childhood vaccines to all participating private providers regardless of insurance status; “universal purchase select,” meaning that the state supplies many but not all of the recommended vaccines regardless of insurance status with the remainder provided only for Vaccine For Children (VFC) eligible children; “VFC and underinsured,” meaning that the state supplies all recommended vaccines for VFC-eligible and underinsured children; “VFC and underinsured-select,” meaning that the state supplies many, but not all recommended vaccines for VFC and underinsured children with the remaining available only to VFC-eligible children; and “VFC only,” meaning that the state supplies recommended vaccines only for VFC-eligible children (see Table 1).

Two independent investigators developed a codebook based on research objectives. A coding conference was held after the first 12 CCC plans were reviewed to assess reliability, confirm clarity, and to identify and manage coding discrepancies. All CCC plans were reviewed with a revised and improved data-gathering instrument.

Most measures were straightforward, with the exception of HPV conceptualization and evidence of structural intervention strategies for cervical cancer. Qualitative statements in the CCC plan about HPV were coded as having no reference to cervical cancer, reference as a cause of cervical cancer, and reference as a cause of cervical and other cancers. Dummy variables were created to test bivariate associations between state, plan, and cervical cancer plan content characteristics. CCC plan cervical cancer-related goals, objectives, and strategies were coded as having structural focus using an a priori framework based on the work of Blankenship and colleagues (41), if focused upon the structural causes of disease or risk for cervical cancer. These include community mobilization focused on altering the balance of power to advance other changes, institutional delivery system improvements, funding policies, economic interventions, and policy change. Strategies had to be well articulated to be coded as structural. So, for example, a plan that stated a need to expand funding for free screening but did not fully articulate strategies to do so were not coded as having a structural intervention.

Associations between CCC plan content related to cervical cancer, plan characteristics, and state characteristics (including health access and funding) were tested using ANOVA and χ2 testing with the Fisher's exact test as appropriate. Significance of observations was noted when significant at the P < 0.05 level.

CCC plans from 50 states and the District of Columbia were reviewed for the study. The majority of CCC plans were 4 years (41.2%) and 5 years (43.1%) in scope, with a range from 1 to 10 years. Most plans (80.4%) were current. In terms of planning cycle, 7.8% were “newly initiated” or beginning no earlier than 2013, 41.2% of plans were nearing the end of their cycle in 2015, and 31.4% of plans were classified as “mid-cycle,” or ending in the years between 2016 and 2020. Pacific division states tended to have out-of-date plans (AK, OR, WA: P < 0.05); states from the West North Central division tended to be in mid planning cycle (IA, KS, MN, NE, ND: P < 0.05) and East North Central division states tended to have plans ending in 2015 (IL, IN, MI, OH, WI: P < 0.01). See Table 2.

Prioritization of cervical cancer

Discerning the prioritization of cervical cancer in the CCC plans was a bit difficult, as 45.1% of plans contained priorities that were not clearly ordered. However, 21.6% of plans identified cervical cancer among the top 5 priorities, 13.7% listed cervical cancer as 6th–10th in priority, and 19.6% of plans did not list cervical cancer among the CCC plan priorities (Fig. 1).

Plans identifying cervical cancer among the top 5 priorities were most likely initiated since 2013 (P = 0.03), had been from states with higher rates of cervical cancer among Hispanic women in 2009 [F(1,15) = 7.2, P = 0.02], and had been developed by states having a philosophical exemption for vaccination in 2012 (P = 0.03; see Table 3).

All plans but one addressed cervical cancer; although not all plans mentioned HPV, the proven cause of virtually all cervical cancers. Six plans (11.8%) did not mention HPV at all (PA, NV, MT, IL, ID, HI). This may be a function of timing with dissemination and adoption of scientific evidence, as all but the Pennsylvania plan were ending by 2016. This notwithstanding, statistical significance between plan phase and absence of HPV was not observed.

Of the 45 CCC plans discussing HPV, over half (57.8%) conceptualized HPV only in terms of cervical cancer. Almost half (42.4%) of plans conceptualized HPV as being linked with many cancers. CCC plans conceptualizing HPV in terms of its relationship to many cancers tended to have more recent implementation dates of 2013 and later. Further, plans articulating a relationship between HPV and cervical cancer tended to list cervical cancer among the top 5 priorities. Notably, plans that articulated HPV's relationship to many cancers did not prioritize cervical cancer at all (see Table 4).

Approach to cervical cancer

The vast majority (80.4%) of state CCC plans were educational in orientation, with the focus at the individual behavior change level. Examples include increasing screening or vaccination uptake by individuals or communities through public education about screening availability and about HPV vaccination. Clinician behavior change was the primary focus for 41.2% of the state plans. Here, the targeted behavior was to increase screening or vaccination provision through guidelines education. Only 6 (11.7%) plans identified policies or policy change for collective attention (AK, CT, DE, MI, NV, NJ). Policies described included third party coverage for Pap and HPV testing, requirements for targeted parental education about HPV vaccine for sixth grade girls (specifically), increased funding (general and VFC coverage) to purchase HPV vaccine for girls and boys, and Medicaid expansion. In each of these cases, however, listed strategies included only mild references to advocacy or coalition building without any additional strategic direction about how these changes were going to be attempted or supported. Notably, only 2 of the 6 states were recipients of the 2010 policy and environmental funding initiatives. Michigan received the 5-year policy tracking capacity funding, and Nevada received the 2-year community-level structural intervention planning funding. In these two cases, it is unclear whether state plans reflected policy learning from the funding initiatives, because while Michigan's plan was from 2009 to 2015, it was revised in 2012. Nevada's plan was from 2011 to 2015, with no evidence of revision during the time period.

Several observations emerge from this systematic review of state CCC plans. First, it appears that scientific discoveries about the connection between HPV and cancers are being heard and encoded in state plans. This reference primarily occurs in discussion sections or epidemiologic profiles within the plans. The translation of this evidence into implementable plans to increase HPV vaccination and screening with HPV diagnostic tests, however, is not fully clear. Some state CCC plans recognized the connection between HPV and cancers but did not articulate strategies to increase vaccination or screening.

Second, the planning around cervical cancer remains focused largely at the individual level: change the individual behavior of patients and providers. While some plans noted the structural barriers of insurance, unsupportive vaccine policy environments or underfunded systems of screening and follow-up; there was a paucity of strategies addressing these issues. The lack of structurally focused state CCC plans and articulated evidence-based structural interventions to address cervical cancer is of great concern and warrants future studies of the potential for utilization of policy tools in plans to help facilitate future adoption of policy and structurally related planning.

Third, it was surprising to note the lack of association between various state policy characteristics and plan content. We assumed there to be associations with structural indicators such as public health funding, existing vaccine policy and screening expansion policies (such as Medicaid expansion or waiver); however, it was not necessarily clear what direction those associations might have. Future structural level studies should continue to refine the selection of these indicators, as there may in fact be a link or association that we do not yet see. Notably, we did not observe associations between receipt of policy development funding and structural interventions or advocacy planning. This may be an issue of timing, as both funding mechanisms were initiated in 2010. Perhaps time and policy learning will result in the observation of planned structural or systems level changes and advocacy for them.

Finally, it is possible that prioritization of cervical cancer does not represent a reliable marker of whether cervical cancer is actually prioritized, because almost half of plans (45.1%) did not prioritize specific cancers. That a state plan prioritizes cervical cancer does not mean strategies will be evidence-based or structural in nature. Further, plans that did not explicitly prioritize cervical cancer often contained strategies addressing it.

It is important to recognize that while state CCC plans shared several characteristics, state plans varied considerably. Even as the federal government finances the state CCC planning effort, there is room for state flexibility to develop plans that are reflective of the greatest cancer burdens in these jurisdictions, and can be advanced by statewide partners. Advising states about the structural change opportunities presented by CCC planning would be a wise endeavor as evidence begins to emerge.

Several opportunities exist to encourage the inclusion of strategies focused on structural or policy issues in CCC plans. Almost half of the plans (41.2%) are nearing the end of their planning cycle in 2015 and can take time to focus on how they are addressing cervical cancer and HPV in their plans. Understanding perceptions of planners about actual and perceived barriers to HPV-specific planning as well as barriers to structurally based planning generally would allow for greater interpretation of these observations.

As we move away from disease specificity in our policy and planning to focus more on structural aspects that impact populations across cancers, we may find that it is easier to focus on structural interventions and related preparations for them such as coalition building across cancer-specific coalitions. This would help states and their cancer control partners tap into a broader base of supporters for the difficult and necessary changes required to significantly reduce cancer-related health inequities.

B.E. Meyerson reports receiving a commercial research grant from GlaxoSmithKline. G.D. Zimet reports receiving commercial research grant from and is a consultant/advisory board member for Merck. J.S. Smith is a consultant/advisory board member for Hologic and Merck. No potential conflicts of interest were disclosed by the other authors.

Conception and design: B.E. Meyerson, G.D. Zimet, J.S. Smith

Development of methodology: B.E. Meyerson, J.S. Smith

Acquisition of data (provided animals, acquired and managed patients, provided facilities, etc.): B.E. Meyerson, G.S. Multani

Analysis and interpretation of data (e.g., statistical analysis, biostatistics, computational analysis): B.E. Meyerson, G.D. Zimet, G.S. Multani

Writing, review, and/or revision of the manuscript: B.E. Meyerson, G.D. Zimet, G.S. Multani, C. Levell, C.A. Lawrence, J.S. Smith

Administrative, technical, or material support (i.e., reporting or organizing data, constructing databases): B.E. Meyerson, G.S. Multani, J.S. Smith

Study supervision: B.E. Meyerson, G.S. Multani

This study was supported by an unrestricted grant from GlaxoSmithKline to the Cervical Cancer Free Coalition (B.E. Meyerson and G.S. Multani).

The costs of publication of this article were defrayed in part by the payment of page charges. This article must therefore be hereby marked advertisement in accordance with 18 U.S.C. Section 1734 solely to indicate this fact.

1.
Henley
SJ
,
King
JB
,
German
RR
,
Richardson
LC
,
Plescia
M
. 
Surveillance of screening detected cancers (colon and rectum, breast and cervix)—United States, 2004–2006
.
Morbid Mortal Wkly Report
2010
;
29
:
1
25
.
2.
Sloan-Barnholtz
J
,
Patel
N
,
Rollison
D
,
Kortepeter
K
,
MacKinnon
J
,
Giuliano
A
. 
Incidence trends of invasive cervical cancer in the United States by combined race and ethnicity
.
Cancer Causes Control
2009
;
20
:
1129
38
.
3.
Parham
GP
,
Hicks
ML
. 
Race as a factor in the outcome of patients with cervical cancer: lift the veil to find the wounded spirit
.
Gynecol Oncol
1998
;
71
:
149
50
.
4.
Howell
EA
,
Chen
YT
,
Concato
J
. 
Differences in cervical cancer mortality among black and white women
.
Obstet Gynecol
1999
;
94
:
509
15
.
5.
Patel
DA
,
Barnholtz-Sloan
JS
,
Patel
MK
,
Malone
JM
 Jr
,
Chuba
PJ
,
Schwartz
K
. 
A population-based study of racial and ethnic differences in survival among women with invasive cervical cancer: analysis of Surveillance, Epidemiology, and End Results data
.
Gynecol Oncol
2005
;
97
:
550
8
.
6.
Ferrante
JM
,
Gonzalez
EC
,
Roetzheim
RG
,
Pal
N
,
Woodard
L
. 
Clinical and demographic predictors of late-stage cervical cancer
.
Arch Fam Med
2000
;
9
:
439
45
.
7.
Insinga
RP
,
Glass
AG
,
Rush
BB
. 
Pap screening in a U.S. health plan
.
Cancer Epidemiol Biomarkers Prev
2004
;
13
:
355
60
.
8.
Ostbye
T
,
Greenberg
GN
,
Taylor
DH
 Jr
,
Lee
AM
. 
Screening mammography and Pap tests among older American women 1996–2000: results from the Health and Retirement Study (HRS) and Asset and Health Dynamics Among the Oldest Old (AHEAD)
.
Ann Fam Med
2003
;
1
:
209
17
.
9.
Rodriguez
MA
,
Ward
LM
,
Perez-Stable
EJ
. 
Breast and cervical cancer screening: impact of health insurance status, ethnicity and nativity of Latinas
.
Ann Fam Med
2005
;
3
:
235
41
.
10.
Fedewa
SA
,
Cokkinides
V
,
Virgo
KS
,
Bandi
P
,
Saslow
D
,
Ward
E
. 
Association of insurance status and age with cervical cancer stage at diagnosis: national cancer database, 2000–2007
.
Am J Public Health
2012
;
102
:
1782
90
.
11.
Downs
LS
,
Smith
JS
,
Scarinci
I
,
Flowers
L
,
Parham
G
. 
The disparity of cervical cancer in diverse populations
.
Gynecol Oncol
2008
;
109
:
S22
S30
.
12.
Akers
AY
,
Newmann
SJ
,
Smith
JS
. 
Factors underlying disparities in cervical cancer incidence, screening, and treatment in the United States
.
Curr Probl Cancer
2007
;
31
:
157
81
.
13.
National Cancer Institute [Internet]. Estimates for 2013
.
[online]
: http://www.cancer.gov/cancertopics/types/cervical
cited 2014 Oct 10
.
14.
See also Accelerating HPV Vaccine Uptake: Urgency for Action to Prevent Cancer
. 
A report to the President of the United States from the President's Cancer Panel
.
Bethesda, MD
:
National Cancer Institute
; 
2014
.
15.
Institute of Medicine Committee on Assuring the Health of the Public in the 21st Century
. 
The future of the public's health in the 21st century
.
Washington, DC
:
National Academies Press
; 
2003
.
16.
Bunnell
R
,
O'Neil
D
,
Soler
R
,
Payne
R
,
Giles
WH
,
Collins
J
, et al
Fifty communities putting prevention to work: accelerating chronic disease prevention through policy, systems and environmental change
.
J Community Health
2012
;
37
:
1081
90
.
17.
U.S. Department of Health and Human Services, Centers for Disease Control and Prevention
. 
Funding opportunity announcement CDC-RFA-DP10-1017. [online]
: http://www2a.cdc.gov/cic/documents/cdc/cleared/1017PolicyFOA.pdf (
cited 2014 Dec 3
).
18.
Meyerson
BE
,
Lawrence
CA
,
Smith
JS
. 
Attend to the “small p” stuff: state policy issues affecting cervical cancer efforts
.
Open J Obstet Gynec
2014
;
4
:
455
461
.
19.
Given
LS
,
Black
B
,
Lowry
G
,
Huang
P
,
Kerner
JF
. 
Collaborating to conquer cancer: a comprehensive approach to cancer control
.
Cancer Causes Control
2005
;
16
:
3
14
.
20.
Stewart
SL
,
Lakhani
N
,
Brown
PM
,
Larkin
OA
,
Moore
AR
,
Hayes
NS
. 
Gynecologic cancer prevention and control in the National Comprehensive Cancer Control Program: progress, current activities and future directions
.
J Women's Health
2013
;
22
:
651
7
.
21.
Seef
LC
,
Major
A
,
Townsen
JS
,
Provost
E
,
Redwood
D
,
Espey
D
, et al
Comprehensive cancer control programs and coalitions: partnering to launch successful colorectal cancer screening initiatives
.
Cancer Causes Control
2010
;
21
:
2023
31
.
22.
Rochester
P
,
Townsen
JS
,
Given
L
,
Krebill
H
,
Balderrama
S
,
Vinson
C
. 
Comprehensive cancer control: progress and accomplishments
.
Cancer Causes Control
2010
;
21
:
1967
77
.
23.
Rochester
P
,
Chapel
T
,
Black
B
,
Bucher
J
,
Housemann
R
. 
The evaluation of comprehensive cancer control efforts: useful techniques and unique requirements
.
Cancer Causes Control
2005
;
16
:
69
78
.
24.
Alberg
AJ
,
Cartmell
KB
,
Sterba
KR
,
Bolick
S
,
Daguise
VG
,
Herbert
JR
. 
outcome evaluation of a state comprehensive cancer control plan: laying the foundation
.
J Public Health Manag Pract
2013
;
19
:
300
307
.
25.
Joseph
RH
,
Townsend
JS
,
Neri
A
,
Saraiya
M
. 
A review of state cancer plans in the United States for strategies to increase human papillomavirus vaccination coverage
. 
Poster presented at the 2014 CDC Division of Cancer Prevention and Control Program Grantee Business Meeting, Atlanta, Georgia, August 11–15, 2014. No abstract number available
.
26.
Laufman
JD
,
Duquette
D
,
Trepanier
A
. 
Evaluation of state comprehensive cancer control plans for genomics content
.
Prev Chronic Dis
2012
;
9
:
120190
.
27.
Irwin
DE
,
Zuiker
ES
,
Rakhra-Burris
T
,
Millikan
RC
. 
Review of state comprehensive cancer control plans for genomics content
.
Prev Chronic Dis
2005
;
2
:
A08
http://www.cdc.gov/pcd/issues/2005/apr/04_0128.htm (
cited 2010 Feb 1
).
28.
Centers for Disease Control and Prevention
. 
National Comprehensive Cancer Control Program
.
[online]
http://www.cdc.gov/cancer/ncccp/ccc_plans.htm (
cited 2014 Feb–Jun
).
29.
Department of Commerce, Economics and Statistics Administration
. 
U.S. Census Bureau. Census Regions and Divisions of the U.S. [online]
: https://www.census.gov/geo/maps-data/maps/pdfs/reference/us_regdiv.pdf (
cited 2014 Jun 15
).
30.
Kaiser Family Foundation Analysis
. 
U.S. Cancer Statistics Working Group
.
United States Cancer Statistics: 1999-2008 Incidence and Mortality Web-based Report
.
Atlanta (GA)
:
Department of Health and Human Services, Centers for Disease Control and Prevention, and National Cancer Institute
; 
2012
.
31.
Kaiser Family Foundation analysis of the Center for Disease Control and Prevention (CDC)'s Behavioral Risk Factor Surveillance System (BRFSS) 2010–2012 Survey Results
.
32.
Elam
LD
,
Yankey
D
,
Jeyarajah
J
,
Singleton
JA
,
Curtis
CR
,
MacNeil
J
, et al
National, regional, state and selected local area vaccination coverage among adolescents aged 13–17 years—United States, 2013
.
MMWR
2014
;
63
:
625
33
.
33.
The Advisory Board Company
. 
Where states stand on Medicaid expansion
.
[online]
: http://www.advisory.com/daily-briefing/resources/primers/medicaidmap (
cited 2014 Jun 1
)
.
34.
National Family Planning and Reproductive Health Association
. 
Medicaid Family Planning Expansion Programs. Monograph
.
July 1, 2014. [online]
: http://www.nationalfamilyplanning.org/document.doc?id=1344 (
cited 2014 Jun 30
).
35.
James
G. Hodge
 Jr.
, 
NCSL State Legislative Report, August 2002
.
[online]
: http://www.ncsl.org/research/health/school-immunization-exemption-state-laws.aspx (
cited 2014 Jun 1
).
36.
Trust for America's Health
. 
Investing in America's Health reports for several years
.
[online]
: http://www.tfah.org/report/114/ (
cited 2014 Jun 2
).
37.
Centers for Disease Control and Prevention
. 
FY2013 Grant Funding Profiles
.
[online]
: http://www.cdc.gov/fundingprofiles/
(cited 2014 Oct 15). Centers for Disease Control and Prevention, Funding Opportunity Announcement DP10-1017, 2010–2015
.
38.
Centers for Disease Control and Prevention
. 
FY2013 Grant Funding Profiles
.
[online]
: http://www.cdc.gov/fundingprofiles/
(cited 2014 Oct 15). Centers for Disease Control and Prevention Funding Opportunity Announcement, DP12-1205, 2012–2017
.
39.
Centers for Disease Control and Prevention
. 
FY2013 Grant Funding Profiles
.
[online]
: http://www.cdc.gov/fundingprofiles/
(cited 2014 Oct 15). CDC-RFA-IP13-130101PPHF13
.
40.
University of Michigan C.S
. 
Mott Children's Hospital and the Association of Immunization Managers
.
Childhood Vaccine Financing/Supply Policy for Private Providers, January 2011
.
41.
Blankenship
KM
,
Friedman
SR
,
Dworkin
S
,
Mantell
JE
. 
Structural interventions: concepts, challenges and opportunities for research
.
J Urban Health
2006
;
83
:
59
72
.