Abstract
Background:
Human papillomavirus (HPV) vaccination is recommended to protect against HPV-related diseases.
Objective:
To estimate HPV vaccine coverage and assess factors associated with vaccine awareness, initiation and receipt of 3 doses among women age 18–30 years.
Methods:
Data from the 2010 National Health Interview Survey were analyzed to assess associations of HPV vaccination among women age 18–26 (n = 1866) and 27–30 years (n = 1028) with previous HPV exposure, cervical cancer screening and selected demographic, health care and behavioral characteristics using bivariate analysis and multivariable logistic regression.
Results:
Overall, 23.2% of women age 18–26 and 6.7% of women age 27–30 years reported receiving at least 1 dose of HPV vaccine. In multivariable analyses among women age 18–26 years, not being married, having a regular physician, seeing a physician or obstetrician/gynecologist in the past year, influenza vaccination in the past year, and receipt of other recommended vaccines were associated with HPV vaccination. One-third of unvaccinated women age 18–26 years (n = 490) were interested in receiving HPV vaccine. Among women who were not interested in receiving HPV vaccine (n = 920), the main reasons reported included: not needing the vaccine (41.3%); concerns about safety of the vaccine (12.5%); not knowing enough about the vaccine (11.9%); not being sexually active (8.2%); a doctor not recommending the vaccine (7.6%); and already having HPV (2.7%). Among women with health insurance, 10 or more physician contacts within the past year and no contraindications, 74.5% reported not receiving HPV vaccine.
Conclusions:
HPV vaccination coverage among women age 18–26 years remains low. Opportunities to vaccinate are missed. Healthcare providers can play an important role in educating young women about HPV and encouraging vaccination. Successful public health and educational interventions will need to address physician attitudes and practice patterns and other factors that influence vaccination behaviors.
Keywords: Human papillomavirus, HPV vaccine, Cervical cancer, Pap smear, Vaccination, Adult vaccination
1. Introduction
Genital human papillomavirus (HPV) is the most common sexually transmitted infection in the United States and can cause cervical cancer, genital warts and other anogenital cancers. Quadrivalent and bivalent HPV vaccines were licensed for use in the United States in 2006 and 2009, respectively, and recommended for prevention of vaccine HPV-type-related cervical cancers and cancer precursors [1,2]. Routine HPV vaccination of females age 11 or 12 years is recommended [2] and vaccination of females age 13–26 years who have not been previously vaccinated [1,2]. Routine cervical cancer screening is generally recommended at age 21 to age 65 years for adult women, regardless of HPV vaccination status, although guidelines may differ from one another with regards to when to start, stop, how often to screen, and use of the conventional Pap test or liquid-based cytology [1,3–6].
Since HPV vaccine was recommended for use in females, estimates of vaccine coverage among young women have been published [7–12]. In previous reports factors associated with HPV vaccination in adult women (≥18) have included white race, higher education and income, having insurance, discussions with a healthcare provider about HPV vaccine, history of sexual activity, and receipt of other vaccines [7–11]. Concern about vaccine safety, doctors not recommending vaccination and cost have been barriers to HPV vaccination [8,12].
This study at four years following first licensure of HPV vaccine uses national data to update information among age-eligible adult women on associations of initiation and receipt of the complete three dose series.
2. Methods
We analyzed data from the 2010 National Health Interview Survey (NHIS) which collected data throughout the year using a design oversampling for Hispanics, blacks, and Asians to produce nationally representative samples. The 2010 NHIS sample adult core included questions about HPV infection, Pap testing, and HPV vaccination. The NHIS protocol was approved by the National Center for Health Statistics Research Ethics Review Board (ERB # 2009–16). Additional details about the 2010 NHIS are located at ftp://ftp.cdc.gov/pub/Health_Statistics/NCHS/Dataset_Documentation/NHIS/2010/srvydesc.pdf. The study sample consisted of adult women age 18–26 years (n = 1866) and women age 27–30 years at the time of the survey (n = 1028) who were eligible for vaccination at the time of vaccine licensure. HPV vaccination was self-reported.
We selected covariates from coded survey questions to measure associations among previous HPV exposure, HPV vaccination, cervical cancer screening, and selected demographic, health care access and behavior characteristics. Below poverty was defined as a total family income of less than $22,314 for a family of four as identified by the U.S. Census Bureau [http://www.census.gov/hhes/www/poverty/data/threshld/thresh09.html.]
Weighted data were used to produce national estimates. SUDAAN was used to calculate point estimates and 95% confidence intervals (CIs) accounting for the complex sample design [13]. Respondents who answered “Don’t Know” or who refused to answer any question were excluded from the analysis. Chi-square tests were used to examine population distributions between age groups and T-tests were used to determine significance within strata with multiple levels. Statistical significance was defined as p < 0.05. Logistic regression was used to determine adjusted prevalence ratios (Risk Ratio) of ever having received HPV vaccination by selected demographic, access to care, and health behavior covariates. All variables selected were included in the multivariable model.
3. Results
3.1. Ever told had HPV, cervical cancer screening and awareness of HPV vaccine
Overall, women age 27–30 years were more likely to have been told they had HPV (12.3%) than were women age 18–26 years (8.5%) (p < 0.05). These women were more likely to have ever heard of HPV vaccine (91.4%) and to have received at least one dose of HPV vaccine (30.2%) than women who had not been told they had HPV (84.7% and 19.9%, respectively) (p < 0.05). Women age 18–26 and 27–30 years had similar likelihood of awareness of HPV vaccine (Table 1).
Table 1.
Characteristic | Age group | Ever heard of HPV vaccine | Ever had at least 1 HPV vaccine dose | |||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|
|
|
|
||||||||||
18–20 years |
21–26 years |
18–26 years |
27–30 years |
|||||||||
n | % | n | % | n | % | n | % | n | % | n | % | |
| ||||||||||||
Total | 2894 | 72.8 | 2894 | 18.0 | ||||||||
Age | ||||||||||||
18–20a | 492 | 22.6 | 492 | 74.1 | 492 | 34.9 | ||||||
21–26 | 1374 | 46.2 | 1374 | 74.3 | 1374 | 17.5b | ||||||
18–26 | 1866 | 68.8 | 1866 | 74.2 | 1866 | 23.2b | ||||||
27–30 | 1028 | 31.3c | 1028 | 69.7 | 1028 | 6.7b | ||||||
Previous HPV exposure Ever been told had HPV | ||||||||||||
Yes | d | d | 116 | 10.8 | 134 | 8.5 | 90 | 12.3c | 224 | 91.4b | 224 | 30.2b |
Noa | 360 | 96.4 | 969 | 89.2 | 1329 | 91.5 | 679 | 87.7 | 2008 | 84.7 | 2008 | 19.9 |
Cervical CA screening Never had PAP testa | 207 | 46.7 | 180 | 13.1 | 387 | 24.2 | 74 | 5.9 | 461 | 58.5 | 461 | 21.8 |
Ever had PAP test Time since last PAP | 285 | 53.3 | 1186 | 86.9 | 1471 | 75.8 | 950 | 94.1 | 2421 | 76.2b | 2421 | 17.2 |
≤3y | 278 | 52.2 | 1121 | 82.1 | 1399 | 72.2 | 875 | 86.8c | 2274 | 77.3b | 2274 | 18.1 |
>3y | d | d | 53 | 4.0 | 60 | 3.1 | 57 | 5.8 | 117 | 62.3 | 117 | 4.2b |
Doctor recommended | ||||||||||||
Yes | 304 | 67.6 | 664 | 48.7 | 968 | 55.0 | 459 | 43.8c | 1427 | 71.2 | 1427 | 19.8 |
Noa | 187 | 32.4 | 680 | 51.3 | 867 | 45.0 | 551 | 56.2 | 1418 | 74.9 | 1418 | 16.4 |
Race/Ethnicity | ||||||||||||
Non-Hispanic whitea | 240 | 61.8 | 664 | 60.5 | 904 | 60.9 | 472 | 62.1 | 1376 | 81.3 | 1376 | 20.3 |
Non-Hispanic black | 89 | 14.5 | 254 | 14.4 | 343 | 14.4 | 182 | 12.7 | 525 | 65.8b | 525 | 16.5 |
Hispanic | 125 | 17.7 | 323 | 17.7 | 448 | 17.7 | 275 | 17.3 | 723 | 52.0b | 723 | 12.4b |
Non-Hispanic Asian | d | d | 95 | 4.8 | 116 | 4.1 | 78 | 6.1 | 194 | 60.6b | 194 | 15.9 |
Other | d | d | 38 | 2.6 | 55 | 2.9 | 21 | 1.9 | 76 | 71.7 | 76 | 15.7 |
Marital status | ||||||||||||
Marrieda | d | d | 329 | 27.1 | 358 | 20.6 | 426 | 51.1c | 784 | 69.5 | 784 | 7.6 |
Other | 462 | 92.7 | 1043 | 73.0 | 1505 | 79.4 | 600 | 48.9 | 2105 | 74.2b | 2105 | 22.6b |
Education | ||||||||||||
Less than HSa | 121 | 24.6 | 167 | 10.2 | 288 | 14.9 | 133 | 11.1c | 421 | 54.4 | 421 | 15.8 |
HS Grad/GED | 146 | 28.2 | 313 | 22.3 | 459 | 24.3 | 211 | 20.6 | 670 | 62.8b | 670 | 15.2 |
Some college | 222 | 47.1 | 551 | 40.6 | 773 | 42.7 | 344 | 32.1 | 1117 | 78.3b | 1117 | 20.9 |
College graduate | d | d | 341 | 26.9 | 343 | 18.1 | 337 | 36.2 | 680 | 84.3b | 680 | 17.4 |
Employment status | ||||||||||||
Employed | 233 | 50.4 | 863 | 66.0 | 1096 | 60.9 | 691 | 68.0c | 1787 | 76.9b | 1787 | 18.1 |
Not employeda | 259 | 49.6 | 511 | 34.0 | 770 | 39.1 | 337 | 32.0 | 1107 | 65.8 | 1107 | 18.0 |
Poverty level | ||||||||||||
300%+ | 76 | 29.2 | 307 | 32.7 | 383 | 31.6 | 353 | 44.9c | 736 | 83.4b | 736 | 21.6 |
200% to <300% | 60 | 17.6 | 208 | 18.8 | 268 | 18.4 | 151 | 16.4 | 419 | 78.3b | 419 | 16.2 |
100% to <200% | 102 | 21.9 | 289 | 22.0 | 391 | 21.9 | 210 | 21.4 | 601 | 62.8 | 601 | 13.0 |
<100%a | 192 | 31.4 | 443 | 26.5 | 635 | 28.1 | 230 | 17.3 | 865 | 65.3 | 865 | 18.2 |
Immigration status | ||||||||||||
Born in U.S.a | 432 | 90.0 | 1145 | 86.3 | 1577 | 87.5 | 771 | 81.3c | 2348 | 78.0 | 2348 | 19.3 |
Born outside U.S. and stayed | d | d | 126 | 7.4 | 152 | 6.4 | 128 | 9.7 | 280 | 34.1b | 280 | 7.5b |
in the US <10 years Born outside U.S. and stayed in the US >10 years | 34 | 5.7 | 103 | 6.3 | 137 | 6.1 | 129 | 9.0 | 266 | 50.2b | 266 | 14.2 |
Health insurance | ||||||||||||
Private | 237 | 53.6 | 649 | 52.1 | 886 | 52.6 | 554 | 60.0c | 1440 | 81.3b | 1440 | 21.2b |
Public | 137 | 24.3 | 342 | 20.6 | 479 | 21.8 | 227 | 18.7 | 706 | 62.2 | 706 | 18.1b |
Nonea | 115 | 22.1 | 378 | 27.4 | 493 | 25.6 | 242 | 21.3 | 735 | 63.2 | 735 | 11.0 |
Regular physician | ||||||||||||
Yes | 392 | 82.3 | 1036 | 75.9 | 1428 | 78.0 | 810 | 79.6c | 2238 | 74.3b | 2238 | 20.6b |
Noa | 100 | 17.7 | 338 | 24.1 | 438 | 22.0 | 217 | 20.4 | 655 | 67.7 | 655 | 8.9 |
Seen physician or OB/GYN in past year | ||||||||||||
Yes | 360 | 76.8 | 1061 | 78.0 | 1421 | 77.6 | 820 | 81.1 | 2241 | 76.6b | 2241 | 20.4b |
Noa | 132 | 23.2 | 311 | 22.0 | 443 | 22.4 | 208 | 18.9 | 651 | 58.9 | 651 | 9.5 |
Other vaccination behavior One/more recommended lifetime vaccines | ||||||||||||
Yes | 401 | 85.2 | 1096 | 80.7 | 1497 | 82.2 | 765 | 77.8c | 2262 | 77.2b | 2262 | 20.7b |
Noa | 86 | 14.8 | 268 | 19.3 | 354 | 17.8 | 254 | 22.2 | 608 | 54.0 | 608 | 6.7 |
Influenza vaccine in past year | ||||||||||||
Yes | 61 | 23.6 | 186 | 23.8 | 247 | 23.7 | 161 | 28.6 | 408 | 80.9b | 408 | 29.2b |
Noa | 240 | 76.4 | 627 | 76.2 | 867 | 76.3 | 466 | 71.4 | 1333 | 67.7 | 1333 | 12.0 |
Cigarette use | ||||||||||||
Current smokera | 72 | 15.8 | 269 | 19.0 | 341 | 17.9 | 217 | 22.5c | 558 | 74.1 | 558 | 15.4 |
Formersmoker | d | d | 106 | 8.1 | 119 | 6.1 | 105 | 12.5 | 224 | 79.8 | 224 | 12.1 |
Never smoked | 407 | 82.2 | 999 | 72.9 | 1406 | 76.0 | 706 | 64.9 | 2112 | 71.7 | 2112 | 19.4 |
Reference level.
p <0.05 by T test forcomparisons within each variable with the indicated reference level.
Significant difference between persons aged 27–30 years and persons aged 18–26 years (by chi-square test, p <0.05).
Estimates are not reliable due to small sample size (n <30) or relative standard error (RSE) is >0.3.
Among respondents age 18–20 years, 21–26 years, 18–26 years overall, and 27–30 years, 76.9%, 70.8%, 72.2% and 67.1%, respectively, reported a year or less since their most recent Pap test. Women age 27–30 years were more likely to have been screened for cervical cancer during the previous three years (86.8%) compared with women age 18–26 years (72.2%) (p < 0.05) (Table 1).
Ever having had cervical cancer screening (76.2%) and having had cervical cancer screening in ≤3 years (77.3%) were associated with awareness of HPV vaccine (p < 0.05). Non-Hispanic white women were more likely to have heard of HPV vaccine (81.3%) than were non-Hispanic black (65.8%), non-Hispanic Asian (60.6%), and Hispanic women (52.0%) (p < 0.05) (Table 1).
3.2. HPV vaccine initiation
Vaccine initiation (receipt of ≥1 HPV vaccine dose) and receipt of 3 doses by age group by a variety of characteristics are shown in Table 2. Overall, HPV vaccine initiation was higher in younger than in older age groups with 34.9% of women age 18–20 years, 17.5% of women age 21–26 years (23.2% of women age 18–26), and 6.7% of women age 27–30 years reporting receipt of at least 1 dose of HPV vaccine (Table 2). Only 1.3% of women ≥27 years reported having ever had at least 1 HPV vaccine dose. In bivariate analyses characteristics associated with receipt of at least 1 dose of HPV vaccine varied by age group. Characteristics associated with vaccine initiation among women age 18–20 and 21–26 years included non-Hispanic ethnicity, having private health insurance, having a regular physician, seeing a physician or obstetrician/gynecologist in the past year, and receipt of influenza and other recommended vaccines (Table 2). Among women age 18–26 years overall, other factors associated with receipt of at least 1 vaccine dose included not currently being married, income at or above 300% of the poverty level, and having either public or private health insurance (Table 2).
Table 2.
Characteristic | Age 18–20 Years | Age 21–26 Years | Age 18–26 Years | Age 27–30 Years | ||||
---|---|---|---|---|---|---|---|---|
|
|
|
|
|||||
Number HPV doses | ||||||||
|
||||||||
At least 1 dose % (95% CI) |
3 Dosesa % (95% CI) |
At least 1 dose % (95% CI) |
3 Dosesa % (95% CI) |
At least 1 dose % (95% CI) |
3 Dosesa % (95% CI) |
At least 1 dose % (95% CI) |
3 Dosesa % (95% CI) |
|
| ||||||||
Total | 34.9 (29.8, 40.3) | 21.1 (17.0, 25.9) | 17.5 (15.0, 20.3) | 9.3 (7.4, 11.5) | 23.2 (20.8, 25.8) | 13.2 (11.2, 15.4) | 6.7 (5.3, 8.4) | 4.2 (3.2, 5.6) |
Ever been told had HPV | ||||||||
Yes | b | b | 31.8 (21.9, 43.6)c | 18.9 (11.0, 30.5) | 34.1 (24.9, 44.8) | 21.7 (13.7, 32.5) | 24.0 (15.5, 35.2)c | 18.6 (11.2, 29.3)c |
Nod | 40.5 (34.5, 46.7) | 24.8 (19.7, 30.8) | 18.7 (15.5, 22.3) | 9.6 (7.5, 12.2) | 26.0 (23.0, 29.2) | 14.7 (12.2, 17.6) | 5.8 (4.3, 7.7) | 3.5 (2.4, 5.3) |
Cervical CA screening | ||||||||
Never had PAP testd | 34.9 (27.0, 43.9) | 19.9 (13.6, 28.1) | 5.3 (2.9, 9.7) | 2.5 (1.0, 6.5) | 24.2 (18.7, 30.6) | 13.6 (9.5, 19.2) | b | b |
Ever had PAP test | 34.9 (28.4, 41.9) | 22.2 (16.9, 28.5) | 19.3 (16.4, 22.6)c | 10.2 (8.2, 12.7)c | 22.9 (20.1, 26.0) | 13.0 (10.9, 15.4) | 7.0 (5.6, 8.9) | 4.5 (3.3, 6.0) |
Time since last PAP | ||||||||
≤3y | 35.3 (28.8, 42.4) | 22.3 (17.0, 28.7) | 20.3 (17.3, 23.7)c | 10.7 (8.6, 13.4)c | 23.9 (21.0, 27.0) | 13.5 (11.3, 16.0) | 7.4 (5.8, 9.4) | 4.7 (3.5, 6.2) |
>3y | b | b | 2.8 (0.7, 9.9) | 1.8 (0.3, 9.2) | 4.2 (1.3, 12.4)c | 3.3 (0.9, 11.8)c | b | b |
Doctor recommended | ||||||||
Yes | 36.7 (30.2, 43.8) | 21.8 (16.5, 28.2) | 16.6 (13.1, 20.8) | 9.1 (6.5, 12.6) | 24.8 (21.3, 28.8) | 14.3 (11.4, 17.8) | 5.9 (3.9, 8.7) | 3.2 (1.9, 5.2) |
Nod | 31.2 (23.6, 39.9) | 19.8 (13.7, 27.6) | 18.5 (14.9, 22.7) | 9.2 (6.7, 12.5) | 21.5 (18.1, 25.5) | 11.7 (9.1, 14.9) | 7.3 (5.4, 9.9) | 5.1 (3.4, 7.4) |
Race/Ethnicity | ||||||||
Non-Hispanic whited | 38.0 (31.3, 45.2) | 22.9 (17.5, 29.3) | 19.6 (16.0, 23.7) | 11.6 (8.8, 15.2) | 25.7 (22.4, 29.3) | 15.4 (12.5, 18.8) | 8.5 (6.5, 11.0) | 5.3 (3.8, 7.3) |
Non-Hispanic black | 33.8 (22.0, 47.9) | 16.2 (8.8, 27.8) | 15.5 (10.3, 22.6) | 3.2 (1.7, 6.1)c | 21.5 (16.0, 28.3) | 7.5 (4.6, 11.9)c | 4.0 (1.8, 8.7)c | 2.6 (0.9, 7.1) |
Hispanic | 24.9 (17.2, 34.7)c | 16.0 (9.5, 25.6) | 12.7 (9.1, 17.5)c | 6.4 (4.2, 9.7)c | 16.7 (13.1, 21.1)c | 9.6 (6.7, 13.5)c | 2.7 (1.4, 5.0)c | 1.6 (0.7, 3.8)c |
Non-Hispanic Asian | b | b | b | b | 22.9 (13.9, 35.2) | 17.4 (9.9, 28.7) | b | b |
Other | b | b | b | b | 19.0 (10.2, 32.9) | b | b | b |
Marital status | ||||||||
Marriedd | b | b | 10.7 (7.7, 14.6) | 5.7 (3.6, 9.0) | 11.4 (8.2, 15.7) | 5.2 (3.2, 8.1) | 4.2 (2.6, 6.6) | b |
Other | 36.4 (31.1, 42.0) | 22.7 (18.4, 27.8)c | 20.0 (16.8, 23.6)c | 10.6 (8.3, 13.4)c | 26.3 (23.4, 29.4)c | 15.2 (12.9, 17.9)c | 9.3 (7.0, 12.1)c | 6.7 (4.8, 9.2) |
Education | ||||||||
Less than HSd | 29.2 (19.7, 40.8) | 14.0 (7.4, 25.0) | 10.6 (5.7, 18.7) | 2.8 (1.2, 6.5) | 20.7 (14.9, 27.9) | 8.9 (5.0, 15.2) | b | b |
HS Grad/GED | 33.9 (24.0, 45.4) | 18.7 (11.5, 28.9) | 10.4 (7.2, 14.6) | 5.0 (3.0, 8.2) | 19.3 (15.0, 24.6) | 10.2 (7.1, 14.7) | 4.5 (2.2, 9.0) | 3.7 (1.7, 8.1)c |
Some college | 38.6 (31.0, 46.8) | 26.2 (19.9, 33.8)c | 17.8 (13.9, 22.5) | 8.1 (5.6, 11.4)c | 25.3 (21.5, 29.6) | 14.7 (11.8, 18.1)c | 8.0 (5.4, 11.5)c | 4.1 (2.3, 7.2)c |
College graduate | b | b | 25.7 (19.9, 32.5)c | 17.1 (12.3, 23.2)c | 25.7 (19.9, 32.4) | 17.1 (12.4, 23.2)c | 8.4 (5.9, 11.9)c | 6.0 (4.0, 8.9)c |
Employment status | ||||||||
Employed | 35.5 (28.0, 43.9) | 20.9 (15.1, 28.1) | 19.0 (15.9, 22.5) | 10.8 (8.5, 13.6)c | 23.5 (20.2, 27.1) | 13.6 (11.0, 16.6) | 7.4 (5.6, 9.7) | 5.4 (3.9, 7.4) |
Not employedd | 34.3 (27.7, 41.5) | 21.3 (15.7, 28.1) | 14.6 (10.8, 19.5) | 6.3 (3.8, 10.2) | 22.8 (19.5, 26.6) | 12.5 (9.8, 15.9) | 5.1 (3.1, 8.1) | b |
Poverty level | ||||||||
300%+ | 54.4 (41.6, 66.6)c | 33.0 (22.1, 46.1)c | 21.3 (16.5, 27.0) | 14.5 (10.1, 20.6)c | 31.1 (25.6, 37.2)c | 20.1 (14.9, 26.5)c | 7.2 (4.9, 10.5) | 4.1 (2.5, 6.7) |
200% to <300% | 24.5 (13.4, 40.4) | 15.1 (7.1, 29.4) | 18.2 (12.2, 26.3) | 6.6 (4.1, 10.7) | 20.1 (14.5, 27.2) | 9.2 (5.9, 14.1) | 6.7 (3.5, 12.4) | 4.0 (1.7, 9.1) |
100% to <200% | 26.4 (18.2, 36.7) | 17.7 (10.8, 27.8) | 11.7 (8.0, 16.7) | 5.3 (3.3, 8.5) | 16.4 (12.6, 21.2) | 9.3 (6.5, 13.1) | 5.6 (2.9, 10.6) | 4.5 (2.1, 9.4) |
<100%d | 32.3 (24.2, 41.7) | 16.8 (11.5, 23.9) | 15.0 (11.4, 19.5) | 6.7 (4.5, 10.0) | 21.2 (17.3, 25.8) | 10.4 (7.7, 13.7) | 7.4 (4.1, 12.9) | 4.3 (1.8, 9.7) |
Immigration status | ||||||||
Born in U.S.d | 35.9 (30.5, 41.6) | 22.5 (18.0, 27.6) | 18.6 (15.7, 21.9) | 10.0 (8.0, 12.5) | 24.4 (21.8, 27.3) | 14.2 (12.1, 16.7) | 7.0 (5.4, 9.0) | 4.5 (3.3, 6.2) |
Born outside U.S. and stayed in the US ≤10 years | b | b | b | b | 9.9 (4.0, 22.6)c | 2.0 (0.9, 4.3)c | b | b |
Born outside U.S. and stayed in the US >10 years | 24.4 (9.4, 50.1) | 11.9 (2.9, 37.4) | 17.3 (10.1, 27.8) | 8.3 (4.3, 15.6) | 19.4 (12.6, 28.8) | 9.4 (5.5, 15.7) | b | b |
Health insurance | ||||||||
Private | 42.3 (34.9, 50.2)c | 25.6 (19.5, 32.8)c | 21.8 (18.1, 26.1)c | 13.4 (10.4, 17.0)c | 28.7 (25.0, 32.8)c | 17.5 (14.3, 21.2)c | 6.7 (4.9, 9.1) | 4.4 (3.1, 6.3) |
Public | 33.5 (24.0, 44.5)c | 23.5 (15.9, 33.2)c | 15.0 (10.1, 21.6) | 6.0 (2.9, 12.0) | 21.8 (17.0, 27.5)c | 12.5 (8.7, 17.5)c | 8.7 (5.2, 14.1) | 5.5 (2.8, 10.4) |
Noned | 18.2 (10.7, 29.4) | 7.6 (4.1, 13.8) | 11.4 (7.7, 16.5) | 4.0 (2.5, 6.2) | 13.3 (9.6, 18.2) | 5.0 (3.5, 7.2) | 4.9 (2.5, 9.4) | b |
Regular physician | ||||||||
Yes | 39.0 (33.4, 44.9)c | 24.7 (20.0, 30.1)c | 20.2 (17.2, 23.6)c | 10.6 (8.4, 13.3)c | 26.7 (24.0, 29.6)c | 15.5 (13.2, 18.2)c | 7.3 (5.6, 9.3) | 4.4 (3.2, 6.0) |
Nod | 16.0 (8.9, 27.0) | 4.5 (1.9, 10.0) | 8.9 (6.1, 12.8) | 5.0 (3.1, 7.9) | 10.8 (7.8, 14.7) | 4.9 (3.2, 7.3) | 4.3 (2.1, 8.7) | 3.5 (1.6, 7.9) |
Seen physician or OB/GYN in past year | ||||||||
Yes | 38.5 (32.5, 45.0)c | 24.0 (19.1, 29.8)c | 20.7 (17.7, 24.2)c | 10.9 (8.7, 13.6)c | 26.5 (23.6, 29.7)c | 15.2 (12.8, 18.0)c | 7.4 (5.7, 9.4)c | 4.7 (3.4, 6.4) |
Nod | 22.8 (14.6, 33.8) | 11.4 (6.0, 20.4) | 6.0 (4.0, 9.0) | 3.5 (2.0, 6.1) | 11.8 (8.4, 16.1) | 6.2 (3.9, 9.5) | 3.7 (1.9, 7.1) | 2.4 (1.1, 5.2) |
Other vaccination behavior One/more recommended lifetime vaccines | ||||||||
Yes | 39.7 (34.0, 45.7)c | 23.8 (19.2, 29.2)c | 19.6 (16.5, 23.0)c | 10.7 (8.5, 13.3)c | 26.4 (23.6, 29.5)c | 15.1 (12.8, 17.8)c | 7.5 (5.9, 9.6)c | 4.5 (3.4, 6.1) |
Nod | 7.2 (33, 15.1) | 5.0 (2.0, 12.2) | 8.7 (5.7, 13.1) | 3.4 (1.7, 6.6) | 8.3 (5.6, 12.2) | 3.9 (2.3, 6.5) | 3.9 (1.8, 8.0) | 3.4 (1.4, 8.1) |
Influenza vaccine in past year | ||||||||
Yes | 65.4 (49.5, 78.5)c | 37.6 (23.9, 53.7)c | 28.3 (20.0, 38.3)c | 15.7 (9.3, 25.3)c | 40.8 (32.6, 49.5)c | 23.1 (16.1, 31.9)c | 8.1 (4.4, 14.5) | 3.8 (1.4, 9.8) |
Nod | 23.6(17.8, 30.7) | 15.6 (10.8. 21.9) | 10.5 (7.9, 13.9) | 6.2 (4.4, 8.7) | 15.0 (12.3, 18.1) | 9.4 (7.3, 11.9) | 5.0 (3.3, 7.6) | 3.3 (2.0, 5.5) |
Cigarette use | ||||||||
Current smoked | 40.3 (27.5, 54.6) | 19.5 (11.0, 32.2) | 12.7 (8.8, 18.0) | 4.4 (2.5, 7.6) | 20.7 (15.6, 26.9) | 8.7 (5.8, 13.0) | 6.2 (3.6, 10.4) | 3.5 (1.6, 7.6) |
Former smoker | b | b | 12.6 (7.5, 20.4) | b | 15.4 (9.7, 23.7) | 8.7 (4.5, 16.1) | 8.5 (4.3, 16.2) | 5.1 (2.2, 11.1) |
Never smoked | 33.8 (28.3, 39.7) | 21.3 (16.8, 26.6) | 19.3 (16.2, 22.7) | 10.8 (8.5, 13.6)c | 24.4 (21.7, 27.4) | 14.6 (12.2, 17.3)c | 6.5 (4.8, 8.6) | 4.3 (3.0, 6.2) |
A small number may have received more than 3 doses.
Estimates are not reliable due to small sample size (n < 30) or relative standard error (RSE) is >0.3.
p < 0.05 by T test for comparisons within each variable with the indicated reference level.
Reference level.
Women age 18–26 years reporting >3 years since the last Pap test were less likely to have received at least 1 dose of HPV vaccine (4.2%) compared with women never tested (24.2%) or tested in ≤3 years (23.9%) (p < 0.05)(Table 2). Women age 21–26 years reporting having ever had a Pap test or ≤3 years since their last Pap test were more likely to have received at least 1 dose of HPV vaccine (19.3% and 20.3%, respectively) compared with women never tested (5.3%) (p < 0.05). Women age 18–26 years who were born outside the United States and had stayed in the United States ≤10 years (49.5% Hispanic, 23.4% non-Hispanic white, 17.8% non-Hispanic Asian, 8.7% non-Hispanic black) were less likely to have received at least 1 dose of HPV vaccine (9.9%) compared with women born in the United States (24.4%) or born outside the United States and residing in the United States >10 years (19.4%) (Table 2).
Among women age 27–30 years, having ever been told they had HPV and not currently being married were associated with receipt of at least 1 dose of HPV vaccine (Table 2). Non-Hispanic black and Hispanic women age 27–30 years were less likely to have received at least 1 dose of HPV vaccine (4.0% and 2.7%, respectively) compared with non-Hispanic white women (8.5%) (p < 0.05).
In multivariable analyses among women age 18–26 years, not currently being married, having a regular physician, seeing a physician or obstetrician/gynecologist in the past year, influenza vaccination in the past year, and receipt of other recommended vaccines were associated with receipt of at least 1 dose of HPV vaccine (Table 3).
Table 3.
Characteristic | Adjusted vaccination coverage % (95% CI) |
Prevalence ratio (Risk Ratio) (adjusted) % (95% CI) |
p-Valuea |
---|---|---|---|
| |||
Previous HPV exposure Ever been told had HPV | |||
Yes | 20.9 (10.0, 31.8) | 0.9 (0.5–1.5) | 0.555 |
Nob | 24.5 (20.4, 28.6) | Referent | |
Cervical CA screening | |||
Ever had PAP test | 23.6 (19.1, 28.1) | 1.3 (1.0–1.9) | 0.584 |
Never had PAP testb | 26.4 (17.6, 35.2) | Referent | |
Doctor recommended | |||
Yes | 24.3 (18.7,30.0) | 1.0 (0.7–1.4) | 0.961 |
Nob | 24.1 (18.5, 29.8) | Referent | |
Race/Ethnicity | |||
Non-Hispanic whiteb | 23.0 (18.0, 28.1) | Referent | |
Non-Hispanic black | 24.9 (16.1, 33.8) | 1.1 (0.7–1.6) | 0.713 |
Hispanic | 30.7 (22.4, 38.9) | 1.3 (0.9–1.9) | 0.112 |
Other | 24.5 (13.3, 35.7) | 1.1 (0.6–1.8) | 0.811 |
Marital status | |||
Marriedb | 11.2 (5.5, 16.9) | Referent | |
Other | 27.3 (22.8, 31.8) | 2.4 (1.4–4.2) | <0.001 |
Education | |||
Less than HSb | 26.8 (16.1, 37.5) | Referent | |
HS Grad/GED | 23.4 (15.2, 31.6) | 0.9 (0.5–1.5) | 0.615 |
Some college | 25.0 (19.7,30.3) | 0.9 (0.6–1.5) | 0.762 |
College graduate | 21.5 (13.2, 29.8) | 0.8 (0.5–1.4) | 0.459 |
Immigration status | |||
Born in U.S.b | 24.0 (20.0, 28.0) | Referent | |
Born outside U.S. and stayed in the US ≤10 years | 11.9 (−0.5, 24.2) | 0.5 (0.2–1.4) | 0.143 |
Born outside U.S. and stayed in the US >10 years | 33.6 (21.0, 46.1) | 1.4 (1.0–2.1) | 0.115 |
Health insurance | |||
Private | 27.8 (22.5, 33.0) | 1.7 (1.0–3.0) | 0.059 |
Public | 20.8 (12.7, 28.8) | 1.3 (0.7–2.3) | 0.435 |
Noneb | 16.4 (8.0, 24.8) | Referent | |
Regular physician | |||
Yes | 26.2 (22.0, 30.4) | 1.9 (1.2–3.1) | 0.005 |
Nob | 13.7 (7.2, 20.3) | Referent | |
Seen physician or OB/GYN in past year | |||
Yes | 25.4 (21.2, 29.6) | 1.6 (1.0–2.7) | 0.050 |
Nob | 15.8 (7.9, 23.7) | Referent | |
Other vaccination behavior One/more recommended lifetime vaccines | |||
Yes | 26.3 (22.1, 30.4) | 2.7 (1.4–5.1) | <0.001 |
Nob | 9.7 (3.7, 15.8) | Referent | |
Influenza vaccine in past year | |||
Yes | 40.0 (31.6, 48.4) | 2.2 (1.6–2.9) | <0.001 |
Nob | 18.3 (14.4, 22.1) | Referent | |
Cigarette use | |||
Current smokerb | 24.7 (16.4, 33.0) | Referent | |
Former smoker | 20.1 (10.9, 29.2) | 0.8 (0.5–1.4) | 0.440 |
Never smoked | 24.6 (19.9, 29.2) | 1.0 (0.7–1.5) | 0.976 |
p <0.05 by T test for comparisons within each variable with the indicated reference level. All the variables in the table were included in the model.
Reference level.
3.3. Receipt of 3 HPV vaccine doses
Among women age 18–26 years overall, 13.2% reported receipt of 3 HPV vaccine doses, including 21.1% of women age 18–20 and 9.3% of women 21–26. Only 4.2% of women 27–30 years reported receipt of 3 HPV vaccine doses (Table 2). Overall, 57.1% of those who initiated the series reported receipt of 3 HPV vaccine doses. Characteristics associated with receipt of 3 HPV vaccine doses for each age group are similar to those of women who initiated HPV vaccination. Among women age 18–26 years, black non-Hispanic women (7.5%) and Hispanic women (9.6%) were less likely to receive 3 doses of HPV vaccine compared with white non-Hispanic women (15.4%) (p < 0.05). Examination of age at last HPV vaccine dose among women who received 3 doses indicated that women in more recent age cohorts were getting the third dose at younger ages (data not shown).
3.4. Impact of insurance, having a regular doctor, and doctor visits on HPV vaccination
Among women age 18–26 years, those who had health insurance were more likely to have a regular physician (86.4%) than those without health insurance (53.3%) (p < 0.05) (Table 4). Those with a regular physician were more likely to be vaccinated than those who did not have a regular physician whether or not they had (28.7% versus 14.0%) or did not have health insurance (17.6% versus 8.4%) (p < 0.05) (Table 4).
Table 4.
Characteristic | HPV vaccinationa n |
% (95% Cl) | % (95% Cl) | ||
---|---|---|---|---|---|
| |||||
Health insurance | |||||
Yesb | |||||
Regular physician | |||||
Yesb | 1247 | 86.4 (84.1, 88.5) | 28.7 (25.4, 32.2) | ||
No | 210 | 13.6 (11.5, 15.9)c | 14.0 (9.2, 20.8)c | ||
No | |||||
Regular physician | |||||
Yesb | 271 | 53.3 (47.9, 58.6)d | 17.6 (11.7, 25.6)d | ||
No | 258 | 46.7 (41.4, 52.1)d | 8.4 (5.3, 13.0)c | ||
Yesb | |||||
Physician contacts within past year | |||||
Noneb | 198 | 11.4 (9.5, 13.6) | 15.9 (9.7, 24.9) | ||
1 | 211 | 14.7 (12.8, 16.9) | 20.8 (14.4, 29.2) | ||
2–3 | 405 | 28.2 (25.2, 31.3)c | 28.4 (23.3, 34.2)c | ||
4–9 | 402 | 29.1 (26.1, 32.2)c | 33.3 (27.3, 39.9)c | ||
≥10 | 231 | 16.6 (14.2, 19.4) | 24.9 (17.2, 34.6) | ||
No | |||||
Physician contacts within past year | |||||
Noneb | 198 | 37.8 (32.9, 43.0)d | 4.9 (2.6, 9.3)d | ||
1 | 86 | 16.2 (12.7, 20.4)c | 24.7 (13.0, 41.8)c | ||
2–3 | 126 | 22.8 (18.6, 27.6) | 16.7 (10.1, 26.5)c,d | ||
4–9 | 77 | 15.4 (11.8, 19.7)c,d | e | ||
≥10 | 40 | 7.8 (5.2, 11.7)c,d | e | ||
Health insurance (Unvaccinated women interested in getting HPV vaccine) | |||||
Yesb | |||||
Would get vaccine ifhad to pay $360–500 | |||||
Yesb | 73 | 23.8 (18.6, 29.9) | f | ||
No | 258 | 76.2 (70.1, 81.4)c | f | ||
No | |||||
Would get vaccine ifhad to pay $360–500 | |||||
Yesb | e | e | f | ||
No | 125 | 85.5 (78.6, 90.5)c | f | ||
Health insurance (Unvaccinated women who would not pay $360–500 forthe HPV vaccine or for whom the main reason for not getting HPV vaccine was cost) | |||||
Yesb | |||||
Would get vaccine iffreeor lower cost | |||||
Yesb | 259 | 97.7 (95.2, 98.9) | f | ||
No | e | e | f | ||
No | |||||
Would get vaccine iffreeor lower cost | |||||
Yesb | 133 | 98.2 (93.1, 99.6) | f | ||
No | e | e | f |
Estimates based on the responses of participants in the respective categories who answered affirmatively to the question, “Have you ever received an HPV shot or vaccine?”
Reference level.
p < 0.05 by T test for comparisons within each variable with the indicated reference level.
p < 0.05 by T test for comparison with the same level of the variable within the “Health insurance = Yes” category.
Estimates are not reliable due to small sample size (n <30) or relative standard error (RSE) is >0.3.
Data not applicable. Includes unvaccinated women.
HPV vaccination was higher among women age 18–26 years who had health insurance and 2–3 (28.4%) or 4–9 physician contacts within the past year (33.3%) compared with women with health insurance and no physician contacts within the past year (15.9%) (p < 0.05) (Table 4). However, vaccination was lower among women without health insurance compared to those with insurance, regardless of the number of physician contacts within the past year. Among women age 18–26 who had 10 or more physician visits (n = 271), 37 (13.6%) were pregnant, a group for whom HPV vaccination is not recommended. Most (65.9%) of the remaining women reported no chronic health condition; the others reported chronic illnesses that are not contraindications for HPV vaccination, including asthma (6.5%), heart disease (6.5%), cancer (2.3%), liver disease (2.0%), diabetes (1.6%) and kidney disease (1.6%). Among those women for whom HPV vaccination is indicated who had health insurance and 10 or more physician contacts within the past year, 74.5% reported not receiving HPV vaccine (Table 4).
3.5. Interest in HPV vaccination
Among women age 18–26 years who had never had HPV vaccine or did not know or refused to provide this information (n = 1484), 33.0% said they would be interested in getting HPV vaccine (n = 490) and 62.0% said they would not be interested (n = 920). Among those who were interested in getting HPV vaccine, most (76.2–85.5%) indicated they would not get the vaccine if they had to pay full price (Table 4). Among women who were not interested in getting HPV vaccine, the main reasons reported included: not needing it (41.3%); concerns about vaccine safety (12.5%); not knowing enough about the vaccine (11.9%); not being sexually active (8.2%); the doctor not recommending the vaccine (7.6%); and already having HPV (2.7%). Of women not interested in HPV vaccination, only 2.6% cited the vaccine being too expensive as the primary reason; 2.3% indicated they were too old, 0.7% reported their spouse or family was against it, and 0.3% did not know where to get the vaccine. Reasons other than those cited here were reported by 10% of respondents. Nearly all of those unwilling to pay full price for HPV vaccination (97.7–98.2%) reported that they would get the vaccine if it were free or available at lower cost (Table 4).
4. Discussion
The findings of this study indicate that 4 years following the recommendation for routine vaccination at age 11 or 12 years and through age 26 for those not previously vaccinated, HPV vaccination remains low with initiation highest among women age 18–20 years. The finding of higher initiation levels at younger ages has been reported [8,9,11,14] and might reflect the knowledge, attitude and practices of the healthcare providers of young adult women [9], the social norms of young women and the perceptions and vaccine intentions of peers or significant others [15] or receipt of vaccine when eligible for the Vaccines for Children (VFC) Program (≤18) [9–11] but 18 or older at the time of the survey. Few women age 27–30 years at the time of the survey (age 24–26 years when HPV vaccine was licensed) or age ≥27 reported receiving at least 1 dose, indicating HPV vaccine initiation was low within 1–3 years after vaccine licensure and limited off-label use.
Our multivariable model was used mainly to control for confounding rather than to test a specific hypothesis or underlying causal model developed a prior. Findings from the model should be interpreted along with those from bivariate analyses. Women who had been told by a provider they had HPV were more likely to have ever heard of and received at least 1 HPV vaccine dose than women who had not been told they had HPV. This observation suggests that a discussion with a healthcare provider about HPV might have facilitated a conversation about HPV vaccine and the decision to vaccinate. As reported elsewhere [7–12,14,16], awareness of HPV vaccine and HPV vaccination were also associated with having health insurance, having a regular physician, seeing a physician or obstetrician/gynecologist in the past year, and receipt of influenza and other recommended vaccines. These findings are consistent with previous reports indicating that persons who have insurance coverage, a usual place for health care or medical home, and who seek medical care one or more times during the year are more likely to be vaccinated against influenza and receive other preventive services, compared with those who are uninsured and are without a usual place for healthcare [17,18]. Having a regular physician and seeing a physician provide opportunities for education about HPV, HPV vaccination and other prevention services [8,10–12,14,16].
The association of HPV vaccination with not currently being married might be related to a perception of greater risk for HPV infection among unmarried women, particularly those engaging in sexual activity [7,10,12]. The perception of greater risk is also likely among women who have had HPV infection. The perception of risk for HPV infection is important in gaining acceptance of HPV vaccination as well as allaying undue concerns about vaccination side effects [12]. Tailoring educational initiatives among women to increase their understanding of the risk of acquiring HPV infection and the safety of HPV vaccine might improve vaccine acceptance. The association of HPV vaccination with receipt of influenza or other recommended vaccines was a predictor of HPV vaccination in this and other studies [7,10,12,14]. This finding might indicate a positive attitude about preventive measures playing an important role in women’s decisions about HPV vaccination, the quality of their medical care or having providers who are more likely to vaccinate adults [7,11,12,14]. Recent Pap testing (≤3 years) was associated with initiating HPV vaccination and receiving 3 doses. The relationship of vaccine initiation with Pap testing in other studies has been mixed, with reports of no association of HPV vaccine initiation with recent Pap testing [8,10] and in another study cervical cancer screening and having abnormal Pap results being positive correlates of HPV vaccine initiation [14].
HPV vaccination was lower among women age 18–26 years without health insurance, illustrating the importance of insurance in the receipt of preventive services. Lack of medical insurance has been an important predictor of low adult vaccination [7–12]. While many health plans are providing coverage for HPV vaccination, the availability or the level of coverage can vary (http://www.cdc.gov/std/hpv/stdfact-hpv-vaccine-young-women.htm) The expanded enrollment in public and private insurance programs expected from provisions of the Affordable Care Act might improve access to health care services, including vaccination, for persons who were previously uninsured [19]. Health insurance coverage, however, although beneficial in improving access to health care services, might not be sufficient in itself to achieve optimal HPV vaccination. In this report, even among those with health insurance, 10 or more contacts with physicians within the past year and no contraindications, HPV vaccination was not optimal-as many as 74.5% reported not receiving HPV vaccine. Provider attitudes and practice patterns might be playing a role in determining which women are offered HPV vaccine [7,8,14]. Providers may not be knowledgeable about HPV vaccine recommendations, offering vaccination to eligible women in their practice, and may not be discussing topics such as health risks related to sexual behavior with their young female patients.
Similar to other reports [7,9–12,14,16,20], in our bivariate analysis we found that black race and Hispanic ethnicity were negative correlates of HPV vaccination among women age 18–26 and 27–30 years. Numerous factors might play a role in these racial and ethnic disparities, including differences in attitudes toward vaccination and preventive care, propensity to seek and accept vaccination, variations in likelihood that providers recommend vaccination, regional factors, and differences in quality of care received by racial/ethnic populations [11,14,21–31]. Differences in HPV vaccination coverage by race or ethnicity among women 18–30 years of age differ from those among girls 13–17 years of age. In 2011, HPV initiation was higher for black and Hispanic girls, 13–17 years of age, compared to whites; coverage with three HPV doses was higher for Hispanics compared to whites [32]. Increased vaccine access through the VFC program or risk-based approaches that base provider recommendations for HPV on the perceived level of the patient’s risk for cervical cancer might contribute to higher HPV initiation rates among blacks and Hispanics [33].
As reported here, the main reasons reported among women age 18–26 years who were not interested in getting HPV vaccine included not believing it was needed, concerns about vaccine safety, not knowing enough about the vaccine, and the doctor not recommending the vaccine, all factors amenable to changes in physician practice. Increasing activities to inform providers of their critical role in influencing vaccination is important. Efforts to decrease out of pocket expenses to pay for HPV vaccination are also important [10,34–36].
This study has limitations. First, vaccination in NHIS is self-reported and not validated by medical records so is subject to recall bias. Adult self-reported influenza and pneumococcal vaccination, however, have been shown to be sensitive and specific [37–40]. Validity studies of self-reported HPV vaccination among adult women have not been reported. Among adolescent girls, however, high levels of inaccuracy between actual HPV vaccination and self-report of vaccine receipt has been reported [41]. Second, multiple comparisons and a large number of statistical tests were performed. Without correction for multiple comparisons, an unidentifiable proportion of significant results might be spurious. Third, the vaccination status and characteristics of women not included in the NHIS are not known. Women not included are those who at the time of the survey were not living at home, such as those in the military or incarcerated.
HPV vaccination can reduce the burden of HPV-associated disease through primary prevention of HPV infection but coverage is suboptimal. Vaccination would be most effective when given before exposure to HPV through sexual contact. Healthcare providers have an important role to play in educating young women about HPV and encouraging vaccination. Successful interventions will need to address physician attitudes and practice patterns. Greater use of strategies demonstrated to improve vaccination coverage is important [21,22,35,36,42].
References
- [1].Centers for Disease Control and Prevention (CDC). Quadrivalent Human Papillomavirus Vaccine: Recommendations of the Advisory Committee on Immunization Practices (ACIP). MMWR 2007;56(RR–2):1–24. [PubMed] [Google Scholar]
- [2].Centers for Disease Control and Prevention (CDC). FDA Licensure of Bivalent Human Papillomavirus Vaccine (HPV2, Cervarix) for Use in Females and Updated HPV Vaccination Recommendations from the Advisory Committee on Immunization Practices (ACIP). MMWR 2010;59(20):626–9. [PubMed] [Google Scholar]
- [3].Feldman S Making sense of the new cervical-cancer screening guidelines. N Engl J Med 2011;365:2145–7. [DOI] [PubMed] [Google Scholar]
- [4].Vesco KK, Whitlock EP, Eder M, et al. Risk factors and other epidemiologic considerations for cervical cancer screening: a narrative review for the U.S. Preventive Services Task Force. Ann Intern Med 2011;155:698–705. [DOI] [PubMed] [Google Scholar]
- [5].Saslow D, Solomon D, Lawson HW, et al. American Cancer Society, American Society for Colposcopy and Cervical Pathology, and American Society for Clinical Pathology screening guidelines for the prevention and early detection of cervical cancer. Am J Clin Pathol 2012;137:516–42. [DOI] [PubMed] [Google Scholar]
- [6].Moyer (on behalf of the U.S. Preventive Services Task Force) VA. Screening of cervical cancer: U.S. Preventive Services Task Force recommendation statement. Ann Intern Med 2012;156:880–91. [DOI] [PubMed] [Google Scholar]
- [7].Jain N, Euler GL, Shefer A, Lu P, Yankey D, Markowitz L. Human papillomavirus (HPV) awareness and vaccination initiation among women in the United States, National Immunization Survey-Adult 2007. Prev Med 2009;48:426–31. [DOI] [PubMed] [Google Scholar]
- [8].Caskey R, Lindau ST, Alexander GC. Knowledge and early adoption of the HPV vaccine among girls and young women: results of a national survey. J Adolesc Health 2009;45:453–62. [DOI] [PubMed] [Google Scholar]
- [9].Taylor LD, Hariri S, Sternberg M, Dunne EF, Markowitz LE. Human papillomavirus vaccine coverage in the United States, National Health and Nutrition Examination Survey, 2007–2008. Prev Med 2011;52:398–400. [DOI] [PubMed] [Google Scholar]
- [10].Anhang Price R, Tiro JA, Saraiya M, Meissner H, Breen N. Use of human papillomavirus vaccines among young adult women in the United States: an analysis of the 2008 National Health Interview Survey. Cancer 2011;17:5560–8. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [11].Dempsey A, Cohn L, Dalton V, Ruffin M. Worsening disparities in HPV vaccine utilization among 19–26 year old women. Vaccine 2011;29:528–34. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [12].Bednarczyk RA, Birkhead GS, Morse DL, Doleyres H, McNutt LA. Human papillomavirus vaccine uptake and barriers: association with perceived risk, actual risk and race/ethnicity among female students at a New York State university, 2010. Vaccine 2011;29:3138–43. [DOI] [PubMed] [Google Scholar]
- [13].Shah B, Barnwell B, Bieier G. SUDAAN User’s Manual, Release 10.1. Research Triangle Park, NC: Research Triangle Institute; 2010. [Google Scholar]
- [14].Chao C, Velicer C, Slezak JM, Jacobsen SJ. Correlates for human papillomavirus vaccination of adolescent girls and young women in a managed care organization. Am J Epidemiol 2010;171:357–67. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [15].Allen JD, Mohllajee AP, Shelton RC, et al. Stage of adoption of the human papillomavirus vaccine among college women. Prev Med 2009;48:420–5. [DOI] [PubMed] [Google Scholar]
- [16].Dempsey A, Cohn L, Dalton VA, Ruffin M. Patient and clinic factors associated with adolescent human papillomavirus vaccine utilization within a university-based health system. Vaccine 2010;28:989–95. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [17].Sudano JJ, Baker DW. Intermittent lack of health insurance coverage and use of preventive services. Am J Public Health 2003;93:130–7. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [18].Beal AC, Doty MM, Hernandez SE, et al. Closing the divide: how medical homes promote equity in health care – results from the Commonwealth Fund 2006 Health Care Quality Survey. The Commonwealth Fund, New York, NY. http://www.commonwealthfund.org/Publications/Fund-Reports/2007/Jun/Closing-the-Divide-How-Medical-Homes-Promote-Equity-in-Health-Care-Results-From-The-Commonwealth-F.aspx; [accessed 05.04.12]. [Google Scholar]
- [19].111th Congress. Public Law 111–148–March. 23, 2010. 124 STAT. 119 (H.R. 3590). An Act Entitled: The Patient Protection and Affordable Care Act. http://www.gpo.gov/fdsys/pkg/PLAW-111publ148/pdf/PLAW-111publ148.pdf; [accessed 24.05.11].
- [20].Rosenthal SL, Weiss TW, Zimet GD, et al. Predictors of HPV vaccine uptake among women age 19–26: importance of a physician’s recommendation. Vaccine 2011;29:890–5. [DOI] [PubMed] [Google Scholar]
- [21].Singleton JA, Santibanez TA, Wortley PM. Influenza and pneumococcal vaccination of adults age ≥65: racial/ethnic differences. Am J Prev Med 2005;29:412–20. [DOI] [PubMed] [Google Scholar]
- [22].Walker FJ, Singleton JA, Lu P-J, et al. Influenza vaccination of health care workers in the United States, 1989–2002. Infect Control Hosp Epidemiol 2006;27:257–65. [DOI] [PubMed] [Google Scholar]
- [23].Lindley MC, Wortley PM, Winston CA, Bardenheier BH. The role of attitudes in understanding disparities in adult influenza vaccination. Am J Prev Med 2006;31:281–5. [DOI] [PubMed] [Google Scholar]
- [24].Singleton JA, Greby SM, Wooten KG, et al. Influenza, pneumococcal, and tetanus toxoid vaccination of adults–United States, 1993–1997. MMWR 2000;49:39–50. [PubMed] [Google Scholar]
- [25].Link MW, Ahluwalia IB, Euler GL, et al. Racial and ethnic disparities in influenza vaccination coverage among adults during the 2004–2005 season. Am J Epidemiol 2006;163:571–8 [DOI] [PubMed] [Google Scholar]
- [26].Bach PB, Pham HH, Schrag D, Tate RC, Hargraves JL. Primary care physicians who treat blacks and whites. N Engl J Med 2004;351:575–84. [DOI] [PubMed] [Google Scholar]
- [27].Schneider EC, Zaslavsky AM, Epstein AM. Racial disparities in the quality of care for enrollees in medicare manage care. JAMA 2002;287:1288–94. [DOI] [PubMed] [Google Scholar]
- [28].Gemson DH, Elinson J, Messeri P. Differences in physician prevention practice patterns for white and minority patients. Community Health (Bristol) 1988;13:53–64. [DOI] [PubMed] [Google Scholar]
- [29].C.D.C. Reasons reported by medicare beneficiaries for not receiving influenza and pneumococcal vaccinations-United States, 1996. MMWR 1999;48: 886–90. [PubMed] [Google Scholar]
- [30].Agency for Healthcare Research and Quality. National healthcare disparities report. Rockville, MD: Agency for Healthcare Research and Quality; 2011. Publication no. 11–0005. Available at http://www.ahrq.gov/qual/qrdr10.htm; [accessed 30.03.12]. [Google Scholar]
- [31].Wei F, Moore PC, Green AL Geographic variability in human papillomavirus vaccination among U.S. young women. Am J Prev Med 2013;44:154–7. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [32].CDC. National and state vaccination coverage among adolescents aged 13–17 years - United States, 2011. MMWR 2012; 61:671–7. [PubMed] [Google Scholar]
- [33].Hughes CC, Jones AL, Feemster KA, Fiks AG. HPV vaccine decision making in pediatric primary care: a semi-structured interview study. BMC Pediatrics 2011;11:74–82. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [34].Merck Vaccine Patient Assistance Program. Available at: http://www.merck.com/merckhelps/vaccines/qualify.html; [accessed 06.02.12].
- [35].Briss PA, Rodewald LE, Hinman AR, Shefer AM, Strikas RA, Bernier RR, et al. Reviews of evidence regarding interventions to improve vaccination coverage in children, adolescents, and adults. The Task Force on Community Preventive Services. Am J Prev Med 2000;18(Suppl.):97–140. [DOI] [PubMed] [Google Scholar]
- [36].Task Force on Community Prevention Services. The guide to community preventive services. New York, NY: Oxford University Press. Available at http://www.thecommunityguide.org/library/book/index.html; 2005. [accessed 30.03.12]. [Google Scholar]
- [37].Donald RM, Baken L, Nelson A, Nichol KL. Validation of self-report of influenza and pneumococcal vaccination status in elderly outpatients. Am J Prev Med 1999;16:173–7. [DOI] [PubMed] [Google Scholar]
- [38].Mangtani P, Shah A, Roberts JA. Validation of influenza and pneumococcal vaccine status in adults based on self-report. Epidemiol Infect 2007;135:139–43. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [39].Zimmerman RK, Raymund M, Janosky JE, et al. Sensitivity and specificity of patient self-report of influenza and pneumococcal polysaccharide vaccinations among elderly outpatients in diverse patient care strata. Vaccine 2003;21:1486–91. [DOI] [PubMed] [Google Scholar]
- [40].Shenson D, DiMartino D, Bolen J, Campbell M, Lu PJ, Singleton JA. Validation of self-reported pneumococcal vaccination in behavioral risk factor surveillance surveys: experience from the sickness prevention achieved through regional collaboration (SPARC) program. Vaccine 2005;23:1015–20. [DOI] [PubMed] [Google Scholar]
- [41].Stupiansky NW, Zimet GD, Cummings T, Fortenberry JD, Shew M. Accuracy of self-reported human papillomavirus vaccine receipt among adolescent girls and their mothers. J Adolesc Health 2012;50:103–5. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [42].Poland GA, Shefer AM, McCauley M, Webster PS, Whitely-Williams PN, Peter G, et al. Standards for adult immunization practice. Am J Prev Med 2003;25(2): 144–50. [DOI] [PubMed] [Google Scholar]