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American Journal of Public Health logoLink to American Journal of Public Health
. 2012 May;102(5):833–835. doi: 10.2105/AJPH.2011.300465

Evidence of Human Papillomavirus Vaccine Effectiveness in Reducing Genital Warts: An Analysis of California Public Family Planning Administrative Claims Data, 2007–2010

Heidi M Bauer 1,, Glenn Wright 1, Joan Chow 1
PMCID: PMC3483904  PMID: 22420808

Abstract

Because of the rapid development of genital warts (GW) after infection, monitoring GW trends may provide early evidence of population-level human papillomavirus (HPV) vaccine effectiveness. Trends in GW diagnoses were assessed using public family planning administrative data. Between 2007 and 2010, among females younger than 21 years, these diagnoses decreased 35% from 0.94% to 0.61% (Ptrend < .001). Decreases were also observed among males younger than 21 years (19%); and among females and males ages 21-25 (10% and 11%, respectively). The diagnoses stabilized or increased among older age groups. HPV vaccine may be preventing GW among young people.


Human papillomavirus (HPV) is a common sexually transmitted infection causing genital warts and anogenital and oropharyngeal cancers.1 An estimated 1.4 million Americans have genital warts (GW).2 The quadrivalent HPV vaccine, available in the US since June 2006, prevents HPV types 6 and 11, which cause 90% of GW.3,4 The Advisory Committee on Immunization Practices (ACIP) recommends routine immunization of females and males aged 11 to 12 years with catch-up for females aged 13 to 26 and males aged 13 to 21 years.5,6 As of 2010, 49% of adolescent females aged 13 to 17 years in the US had received at least 1 of the 3 doses and 32% had received all 3 doses; in California, 56% received at least 1 dose.7 Additionally, 21% of US females aged 19 to 26 years had received at least 1 dose.8

In the United States, several approaches are under way to measure the population-based impact of the HPV vaccine.9,10 Because of the rapid development of GW after infection, monitoring GW trends may provide early evidence of vaccine effectiveness.11,12 Further, analyses of administrative data enable the monitoring of vaccine-preventable disease outcomes.

METHODS

Using an ecological study design, trends in GW diagnoses were assessed using clinical encounter claims data from the California Family Planning Access Care and Treatment (Family PACT) program, which serves low-income individuals. Following implementation of more specific diagnostic coding requirements for billing, reliable data on International Classification of Diseases (ICD-9) codes were available 2007 through 2010. GW cases were defined as unduplicated clients with either an ICD-9 diagnostic code for viral warts (078.10) or condyloma (078.11) or a National Drug Code (NDC) for pharmacy-dispensed imiquimod or podofilox. To limit the analysis to incident cases, clients with these codes documented prior to 2007 were excluded. Inclusion of procedure codes for destruction of genital lesions was unnecessary because these claims closely correlated with appropriate ICD-9 codes; more than 95% of claims with destruction codes were included on the basis of ICD-9 code. The proportion of clients with GW was calculated based on denominators that included unduplicated clients served. The proportions of clients with GW were stratified by age (< 21, 21–25, 26–30, ≥ 31 years), gender, and year. No data on vaccination status were available. Statistical significance of gender- and age-specific trends was assessed using the Cochran-Armitage test for linear trend; 95% confidence intervals (CI) were calculated for the initial year and final year percent changes.

RESULTS

Between 2007 and 2010, an average of more than 1 754 000 female and 258 000 male clients were served annually. Total clients served increased each year for both female and male clients across nearly all age groups, with the greatest increases seen among older age groups (Table 1). Overall, 0.7% of female clients and 3.3% of male clients were diagnosed with GW. For both male and female clients, the highest rates of GW were among those aged 21 to 25 years, whereas the lowest rates were among those older than 30 years. The median age of clients younger than 21 years was 18 years (range = 10–20).

TABLE 1—

Diagnosis of Genital Warts by Gender, Age Group, and Year: California Family Planning Access Care and Treatment Program, 2007–2010

Aged < 21 Years
Aged 21–25 Years
Aged 26–30 Years
Aged ≥ 31 Years
Total
Year Total No. Warts, No. (%) Total No. Warts, No. (%) Total No. Warts, No. (%) Total No. Warts, No. (%) Total No. Warts, No. (%)
Female clients
 2007 394 789 3723 (0.94) 475 698 4765 (1.00) 334 080 2066 (0.62) 475 117 1664 (0.35) 1 679 684 12 218 (0.73)
 2008 404 379 3581 (0.89) 491 655 5263 (1.07) 343 959 2347 (0.68) 492 195 1853 (0.38) 1 732 188 13 044 (0.75)
 2009 405 454 3080 (0.76) 508 465 4950 (0.97) 358 031 2408 (0.67) 521 884 2027 (0.39) 1 793 834 12 465 (0.69)
 2010 391 386 2405 (0.61) 513 111 4628 (0.90) 365 126 2487 (0.68) 543 599 2083 (0.38) 1 813 222 11 603 (0.64)
Male clients
 2007 52 183 1385 (2.65) 63 810 3231 (5.06) 43 701 1650 (3.78) 72 338 1276 (1.76) 232 032 7542 (3.25)
 2008 55 192 1540 (2.79) 66 634 3514 (5.27) 44 398 1952 (4.40) 73 672 1441 (1.96) 239 896 8447 (3.52)
 2009 58 492 1501 (2.57) 73 481 3568 (4.86) 50 605 2151 (4.25) 89 848 1766 (1.97) 272 426 8986 (3.30)
 2010 58 758 1269 (2.16) 76 778 3452 (4.50) 54 159 2228 (4.11) 100 761 1798 (1.78) 290 456 8747 (3.01)

Between 2007 and 2010, GW diagnoses decreased 34.8% (95% CI = −38.2%, −31.5%) among female clients younger than 21 years from 0.94% to 0.61% (Ptrend < .001). Decreases were also observed among female clients aged 21 to 25 years (10.0% decline; CI = –13.6%, –6.3%; Ptrend < .001), male clients younger than 21 years (18.6% decline; 95% CI = –24.8, –12.5%; Ptrend < .001), and male clients aged 21 to 25 years (11.2% decline; 95% CI = –15.4%, -7.1%; Ptrend < .001). By contrast, GW diagnoses increased among female clients aged 26 to 30 and older than 30 years (10.1% increase; 95% CI = 3.7%, 16.6%; Ptrend = .004 and 9.4% increase; 95% CI = 2.4%, 16.5%; Ptrend = .005, respectively) and male clients aged 26 to 30 years (9.0% increase; 95% CI = 2.2%, 15.8%; Ptrend = .05; Figure 1). No change was observed among male clients older than 30 years (1.2% increase; 95% CI = –6.0%, 8.4%; Ptrend = .97).

FIGURE 1—

FIGURE 1—

Trends in genital wart diagnosis among females (a) and males (b) by age group, California Family Planning Access Care and Treatment program, 2007–2010.

DISCUSSION

This is the first US report to our knowledge to provide preliminary data suggesting population-level effectiveness of the HPV vaccine. Although the HPV vaccine is not a covered benefit of the Family PACT program and vaccine status among clients was not determined in this analysis, this vaccine seems to prevent GW among young women. Family PACT clients may have alternative means to receive the vaccine, including patient assistance programs. Furthermore, because of herd immunity, it is possible that both genders are protected even if unvaccinated. In Australia, where HPV vaccine uptake exceeded 65% in 2009 among female residents in the target age group (12–26 years), significant decreases in GW were reported among female residents aged 12 to 26 years as well as among heterosexual male residents aged 12 to 26 years (59% and 39%, respectively).13,14

Among older age groups, both absolute numbers and rates of GW diagnoses increased. National surveillance of GW trends demonstrated a 2-fold increase in rates since the mid-1990s.15 The reason for these increases is not clear, but could be related to increased health care–seeking behavior as a result of increased awareness, or actual increases in HPV transmission or development of GW.

The primary limitation of this analysis is that the observed trends are ecological and may be explained by factors other than vaccination. These decreases could be spurious or the result of biases in diagnostic coding across age groups; however, divergent trends by age along with observed increases in the number of patients receiving services annually are reassuring.

Using existing administrative claims data to assess trends in GW proved to be inexpensive and expeditious; however, the quality of the data depended on the accuracy of diagnostic coding. Prior to 2007, ICD-9 codes for secondary (noncontraceptive) diagnoses in the Family PACT administrative database were incomplete and unreliable. Although more challenging to monitor, the most important effect of HPV vaccination will be the reduction of HPV-associated cancers.

Acknowledgments

This study was funded by a grant from the Centers for Disease Control and Prevention (HPV Vaccine Impact Monitoring Project 1-U01/CI000309-02) and the California Department of Public Health, Office of Family Planning (Contract 10-95221).

The contents of this article have not been published elsewhere; however, an oral presentation of the findings was given at the International Society for Sexually Transmitted Diseases Research meeting in Quebec City in July 2011.

We thank Laurie Weaver and Mary Menz, Office of Family Planning, California Department of Public Health, for supporting this analysis and providing consultation on administrative coding practices.

Human Participant Protection

All work was completed in accordance with The Principles of the Ethical Practice of Public Health. This analysis was conducted as part of ongoing program monitoring and evaluation activities for the Family PACT program and consequently was not deemed research. All access to client identifiers and data security procedures to protect confidentiality was consistent with California Department of Public Health information security standards.

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