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Hum Vaccin Immunother. 2024; 20(1): 2371179.
Published online 2024 Jul 7. doi: 10.1080/21645515.2024.2371179
PMCID: PMC11229729
PMID: 38972858

Validation of self-reported human papillomavirus vaccination in young adult men who have sex with men

Associated Data

Data Availability Statement

ABSTRACT

The Victorian Government introduced a time-limited human papillomavirus (HPV) catch-up program for gay, bisexual, and other men who have sex with men (GBMSM) aged ≤ 26 years in 2017–2019. We conducted a retrospective observational study to examine the accuracy of the self-report of HPV vaccination status using computer-assisted self-interviewing versus their immunization history via electronic health records. We included GBMSM aged 23–30 years visiting the Melbourne Sexual Health Centre (MSHC) in 2020–2021 because they were age-eligible for the HPV catch-up program in Victoria, Australia. Individuals who were unsure about their vaccination status were categorized as ‘unvaccinated’. Of the 1,786 eligible men, 1,665 men self-reported their HPV vaccination status: 48.8% (n = 812) vaccinated, 17.4% (n = 289) unvaccinated, and 33.9% (n = 564) unsure. Self-reported HPV vaccination had a sensitivity of 61.3% (95%CI: 58.3 to 64.2%; 661/1079), a specificity of 74.2% (95%CI: 70.5 to 77.7%; 435/586), a positive predictive value of 81.4% (95%CI: 78.6 to 84.0%; 661/812), a negative predictive value of 51.0% (95%CI: 47.6 to 54.4%; 435/853), and an accuracy of 52.6% (95%CI: 50.1 to 55.0%). Our results showed that only half of GBMSM know and report their HPV vaccination status correctly. Novel approaches such as digital vaccine passports may be useful for individuals to accurately report their vaccination status to guide accurate clinical decisions and management.

KEYWORDS: HPV, vaccine, accuracy, prevention, gay, prevention, cancer

Introduction

As of 2022, 130 out of 193 World Health Organization (WHO) Member States have introduced the human papillomavirus (HPV) vaccine on their national routine immunization schedule,1 and numerous epidemiological studies have reported significant reductions in genital warts, HPV infection, pre-cancers and cervical cancers in females after the introduction of the HPV vaccination program.2–5 Studies have also shown that female-only HPV vaccination programs not only benefit females but also unvaccinated heterosexual males due to herd protection.3–8 However, the same magnitude of herd protection among gay, bisexual, and other men who have sex with men (GBMSM) is not observed due to their sexual practices.9 GBMSM are at higher risk of acquiring HPV and anal cancer;10–12 and thus, vaccinating GBMSM is important in protecting them against HPV and HPV-associated cancers. In Australia, some states including Victoria, introduced HPV vaccination catch-up programs for GBMSM; however, these programs had limited timeframes and were not ongoing.13

Many countries (60 WHO Member States as of January 2024) have now introduced gender-neutral HPV vaccination programs to promote gender equity and reduce the burden of HPV.14 Accurately reporting HPV vaccination status is important so that unvaccinated individuals can be identified and receive vaccination. Some countries, including Australia, have established immunization registries to better capture vaccination status and track population coverage. The Australian Immunization Register (AIR) is a national register that records vaccines given within the free national immunization program to people of all ages in Australia. It is a mandatory requirement for vaccination providers to report all vaccinations funded by the National Immunization Program (since 1 July 2021).15 However, vaccination providers are encouraged (but it is not mandatory) to report vaccines that are not funded by the National Immunization Program. This included HPV vaccinations administered through a time-limited catch-up program for GBMSM.

There have been very limited studies examining the accuracy of self-reported HPV vaccination status among GBMSM.16 A previous Australian study has examined the accuracy of self-reported HPV vaccination status compared with the immunization registry among adolescent GBMSM who were eligible for the school-based HPV vaccination program funded by the National Immunization Program.17 The primary aim of this study was to examine the accuracy of self-reported HPV vaccination status compared to electronic health records among young adult GBMSM eligible for the time-limited catch-up program and those who missed the school-based HPV vaccination program. The secondary aim was to examine whether certain characteristics (e.g. HIV status, use of HIV pre-exposure prophylaxis (PrEP)) would affect the sensitivity and specificity of self-reported HPV vaccination status.

Methods

Study design and population

This was a retrospective cross-sectional study among GBMSM attending the Melbourne Sexual Health Centre, Victoria, Australia. In this analysis, we included GBMSM who aged 23–29 years in 2020 or aged 24–30 years in 2021, and attended MSHC at least once in 2017–2019. MSHC remained open in 2020–2021 during the COVID-19 pandemic.18 GBMSM was defined as men who had had sex with another man in the last 12 months. This project was approved by the Alfred Hospital Ethics Committee, Melbourne, Australia (681/21). Informed consent was waived because of the retrospective nature of the study.

Figure 1 illustrates the age cohort for the national gender-neutral school-based HPV vaccination program and the Victorian time-limited HPV vaccination program for GBMSM. In brief, the gender-neutral school-based HPV vaccination program started in 2013, and boys aged 12–15 years were eligible to receive three doses of the quadrivalent HPV vaccines free of charge. As of 2020, males aged up to 22 years would have been offered the HPV vaccine through the national school-based HPV vaccination program. Separately, the Victorian government introduced a time-limited HPV vaccination program for GBMSM aged ≤26 years in 2017–2019.13,19 Eligible GBMSM were able to receive three doses of the quadrivalent HPV vaccines free of charge at sexual health clinics or immunization providers. Males aged 23–29 years in 2020 or males aged 24–30 years in 2021 would have been eligible for the HPV vaccine through the time-limited HPV vaccination program but not eligible for the national gender-neutral school-based HPV vaccination program; thus, this age cohort was selected for this analysis. Males who were eligible for the school-based HPV vaccination program were not eligible in this analysis because (1) separate consent would be required to verify their vaccination records through the AIR as they would have received the vaccine at school instead of at our clinic, and this could not be done from a retrospective data analysis, and (2) the accuracy of self-reported HPV vaccine using immunization registry data among adolescent GBMSM was examined in a previous study.17

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Age cohort for the human papillomavirus vaccination programme for male individuals in Victoria, Australia.

Data collection

Upon arrival at the clinic, new clients and existing clients who have not attended MSHC within three months are asked to complete a questionnaire via computer-assisted self-interview (CASI). This is a questionnaire that collects clients’ demographic characteristics and sexual history for routine standard care and management at MSHC. In this questionnaire, clients are also asked whether they have been vaccinated against HPV. Clients could choose ‘yes,’ ‘no’ or ‘unsure’ if they were not sure about their vaccination status. For clients with multiple visits at MSHC, we only included the data from their first visit during the study period. A chart review was performed to verify clients’ immunization history via electronic health records at MSHC by collecting data on the number of HPV vaccine doses administered and the date of the last dose.

Statistical analyses

We calculated the sensitivity, specificity, positive predictive value, negative predictive value, positive likelihood ratio, negative likelihood ratio, and accuracy for self-reported HPV vaccination status via CASI and used electronic medical records at MSHC as the reference standard among all eligible individuals. Individuals who were unsure about their vaccination status were considered unvaccinated when calculating the diagnostic accuracy parameters. Sensitivity is the proportion of men who correctly reported being vaccinated among all vaccinated men verified electronic health records. Specificity is the proportion of men who reported being unvaccinated or were unsure among all unvaccinated men verified against electronic health records. Positive predictive value is the proportion of men who correctly reported being vaccinated among all those who self-reported being vaccinated. Negative predictive value is the proportion of men who correctly reported being unvaccinated or unsure among all those who self-reported being unvaccinated or unsure. Positive likelihood ratio is defined as the probability of men who self-reported being vaccinated among those who were vaccinated divided by the probability of men who self-reported being vaccinated among those who were unvaccinated. The negative likelihood ratio is the probability of men who self-reported being unvaccinated or unsure among those who were vaccinated divided by the probability of individuals who self-reported being unvaccinated or unsure among those who were unvaccinated. The accuracy was defined as the total of individuals who correctly self-reported as vaccinated or unvaccinated divided by the total number of individuals. We repeated the analyses by excluding individuals who were unsure about their vaccination status. We calculated the kappa statistics to determine the agreement between self-reported vaccination status and registry records. The level of agreement was categorized based on the κ statistics as none (0–0.20), minimal (0.21–0.39), weak (0.40–0.59), moderate (0.60–0.79), strong (0.80–0.90), and almost perfect (>0.90).20 We stratified men into different groups based on their characteristics (e.g. age, residency, time since the last HPV vaccine, and the number of HPV doses, HIV status, PrEP use and number of male partners in the last 3 months) and performed additional analyses by calculating the sensitivity and specificity in each subgroup. The 95% confidence intervals (CI) of the point estimates were calculated using binomial exact methods. All statistical analyses were performed in Stata (version 17; StataCorp LLC).

Results

There was a total of 10,285 consultations for GBMSM aged 23–29 years in 2020 and 24–30 years in 2021 attending MSHC. We excluded 6,578 consultations because 2,948 consultations were individuals who did not attend MSHC between April 2017 and October 2019, and 3,630 consultations where the individuals were not required to complete CASI. The remaining 3,707 consultations among 1,786 individual GBMSM met the inclusion criteria (Figure 2). Of the 1,786 individual GBMSM, 121 (6.8%) declined to answer the HPV vaccination question and were excluded. The final analysis included 1,665 individual GBMSM.

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Flow chart of study participant selection.

Of the 1,665 GBMSM included in the final analysis, the median age was 27 (IQR 25 to 28) years. Half (49.9%, n = 831) were born in Australia, 48% (n = 804) were born outside Australia, and 1.8% (n = 30) declined to report their country of birth. The median number of male partners in the last 12 months was 5 (IQR 2 to 10), and 9.8% (n = 163) also had a female partner in the last 12 months. There were 48.8% (n = 812) of men who self-reported being vaccinated against HPV, 17.4% (n = 289) reported being unvaccinated, and 33.9% (n = 564) were unsure about whether they had been vaccinated.

All 1,665 GBMSM had attended MSHC at least once between April 2017 and October 2019 during the roll-out of the time-limited HPV vaccination program for GBMSM in Victoria; thus, their vaccination status was verified through the electronic health record at MSHC. There were 64.8% (1,079/1,665) of men had received at least one dose of HPV vaccine administered at MSHC and were verified on the MSHC’s electronic health record (Table 1), and these men were categorized as vaccinated. Of the 1,079 men who had received at least one dose of HPV vaccine, the median time since their last dose was 1.7 (IQR 1.1 to 2.3) years. Most men received three doses of HPV vaccines (63.4%, 684/1079), 17.8% (192/1079) received two doses and 18.8% (203/1079) received one dose.

Table 1.

Confusion matrix and corresponding likelihood ratios comparing self-reported vaccination status using computer-assisted self-interviewing with electronic health records among 1,665 GBMSM attending the Melbourne Sexual Health Centre.

 Electronic health records
 
Self-reported vaccination statusVaccinatedUnvaccinatedTotalLikelihood ratio (95% CI)
Yes6611518122.4 (2.1 to 2.7)
No752142890.19 (0.15 to 0.24)
Unsure3432215640.84 (0.74 to 0.97)
Total10795861665 

There were 82 men who did not have any HPV vaccination records on MSHC’s electronic health record but had information written by the clinician in their medical notes indicating they had been vaccinated, this included seven who had had the vaccine outside Australia, 14 reported they had had the vaccine at school, and 24 had had the vaccine at other healthcare services in Australia (e.g. GP); and these men were categorized as unvaccinated in the electronic health records because these were self-reported without any official documents verifying their vaccination history.

There were 25.1% (418/1665) of men who self-reported being unvaccinated or unsure but were vaccinated as per their electronic health record (Table 1). Similarly, 9.1% (151/1665) of men self-reported being vaccinated but their electronic health records showed they had not. Overall, 875 men correctly self-reported as vaccinated or unvaccinated, and the accuracy of self-reported HPV vaccination status was 52.6% (95%CI: 50.1% to 55.0%). Of the men who were vaccinated, 61.3% (661/1079) correctly self-reported being vaccinated (sensitivity = 61.3%; 95%CI: 58.3% to 64.2%) (Table 2). When categorizing men who were unsure about their vaccination status as unvaccinated, 74.2% (435/586) of men correctly self-reported being unvaccinated or unsure of their vaccination status (specificity = 74.2%, 95%CI: 70.5% to 77.7%). The positive likelihood ratio was 2.4 (95%CI: 2.1 to 2.7), and the negative likelihood ratio was 0.52 (95%CI: 0.48 to 0.57). The Kappa coefficient was (κ = 0.321; 95%CI: 0.278 to 0.364) suggesting a fair agreement between self-reported vaccination status and electronic health records. We also performed additional analyses by excluding men who were unsure about their vaccination status, the sensitivity increased to 89.8% (88.0% to 91.6%) but the specificity decreased to 58.6% (55.7% to 61.5%) (Table 2).

Table 2.

Sensitivity, specificity, predictive values and likelihood ratios of self-reported HPV vaccination status among GBMSM using electronic health records as the reference standard.

ParametersAll men (N=1665),
Measure (95% CI)
All men excluding those who were unsure about their vaccination status (N=1101),
Measure (95% CI)
Sensitivity61.3% (58.3 to 64.2%)89.8% (88.0 to 91.6%)
Specificity74.2% (70.5 to 77.7%)58.6% (55.7 to 61.5%)
Positive predictive value81.4% (78.6 to 84.0%)81.4% (79.1 to 83.7%)
Negative predictive value51.0% (47.6 to 54.4%)74.1% (71.5 to 76.6%)
Positive likelihood ratio2.4 (2.1 to 2.7)2.2 (1.9 to 2.5)
Negative likelihood ratio0.52 (0.48 to 0.57)0.17 (0.14 to 0.22)
Kappa coefficient0.32 (0.28 to 0.36)0.51 (0.46 to 0.57)
Accuracy52.6% (50.1 to 55.0%)79.5% (77.0 to 81.8%)

CI: Confidence intervals.

The sensitivity of self-reported vaccination status was significantly higher among those who had 3 doses (70.6%; 95%CI: 68.1% to 73.1%) followed by 2 doses (49.0%; 95%CI: 41.7% to 56.3%) and 1 dose (41.4%; 95% CI: 34.5% to 48.5%) (p < .001) (Table 3). PrEP users had a higher sensitivity (70.0%; 95%CI: 66.2% to 73.8%) of self-reported vaccination status compared to HIV-negative GBMSM (57.0%; 95%CI: 54.0% to 60.0%) and people living with HIV (49.2%; 95%CI: 38.4% to 59.9%) (p < .001). However, sensitivity did not differ in age (p = .404), residency (p = .762), time since the last HPV dose (p = .719), and the number of male partners in the last 12 months (p = .081). The specificity of self-reported vaccination status was similar across different characteristics.

Table 3.

Sensitivity and specificity of self-reported HPV vaccination status using computer-assisted self-interviewing compared to electronic health records among 1,665 GBMSM, stratified by different characteristics.

 Electronic health records
Self-reported vaccination status
SensitivitySpecificity
CharacteristicsVaccinatedUnvaccinatedYesNoUnsureMeasure (95% CI)Measure (95% CI)
Overall10795866617534361.3% (58.3 to 64.2%)74.2% (70.5 to 77.7%)
Age group       
23–265182473242916562.5% (59.1 to 66.0%)70.5% (67.2 to 73.7%)
27–305613393374617860.1% (56.9 to 63.3%)77.0% (74.2 to 79.7%)
Residency       
Australian-born citizens5352963282518261.3% (58.0 to 64.6%)71.6% (68.6 to 74.7%)
Overseas-born residentsa277130164239059.2% (54.4 to 64.0%)74.6% (70.4 to 78.8%)
Overseas-born recent arrivalsb246151153276662.2% (57.4 to 67.0%)78.8% (74.8 to 82.8%)
Time since the last documented HPV vaccine dose       
<1 year ago217586130236459.9% (53.6 to 66.5%)74.2% (71.2 to 77.3%)
1 year ago4255862572514360.5% (55.6 to 65.1%)74.2% (71.5 to 76.9%)
≥2 years ago4375862742713662.7% (58.0 to 67.2%)74.2% (71.6 to 76.9%)
Documented the number of HPV vaccine doses       
One20358684328741.4% (34.5 to 48.5%)74.2% (71.2 to 77.3%)
Two19258694148449.0% (41.7 to 56.3%)74.2% (71.2 to 77.3%)
Three6845864832917270.6% (68.1 to 73.1%)74.2% (71.8 to 76.6%)
HIV status & PrEP use       
HIV-negative6303953595621557.0% (54.0 to 60.0%)79.2% (76.8 to 81.7%)
PrEP users3901672731610170.0% (66.2 to 73.8%)64.1% (60.1 to 68.1%)
People living with HIV59242932749.2% (38.4 to 59.9%)62.5% (52.1 to 72.9%)
Number of male partners in the last 12 months       
≤56203593665220259.0% (55.9 to 62.1%)80.8% (78.3 to 83.3%)
>54592272952314164.3% (60.7 to 67.9%)63.9% (60.3 to 67.5%)

aOverseas born individuals who have resided in Australia for more than four years.

bOverseas born individuals who have resided in Australia for less than four years.

Discussion

This cross-sectional study examines the accuracy of self-reported HPV vaccination using CASI compared to clinic’s electronic medical records among young GBMSM aged 23–30 years attending a sexual health service. Our data suggest that only 53% of GBMSM actually knew their correct HPV vaccination status. The poor sensitivity of 61% suggests that self-reported vaccination can only identify less than two-thirds of vaccinated GBMSM. Although we found that the sensitivity of self-reported vaccination status has greatly improved to 90% after excluding men who were unsure about their vaccination status, this is not practical in clinical settings.

To our knowledge, there have been only three studies examining the accuracy of self-reported HPV vaccination status among men, and our study has the largest sample size compared to the previous three studies. However, direct comparisons with previous studies are difficult due to the different measurements and indicators used. The first study was published by Thomas et al. (2018) among 400 young men aged 13 to 26 years in the United States.21 The authors found that the accuracy of self-reported vaccination status was 80%, which was higher than our estimate (53%); however, most men in Thomas et al.’s study were heterosexuals with only 9% of men who had a male partner in the last 3 months. Furthermore, the authors asked the participants to report their vaccination status as either vaccinated or not vaccinated, and there was no option of unsure. After excluding those who were unsure about their vaccination status, the accuracy of self-reported vaccination in our study was 80%, which is consistent with Thomas et al.’s study. The authors did not report other diagnostic parameters such as sensitivity and specificity.

The second study was published by Forward et al. (2022) among 751 GBMSM and transgender women aged 18 to 26 years in the United States.22 The authors reported a sensitivity of 83% which was higher than the estimate in our study (61%). The higher sensitivity is likely attributed to the inclusion of both clinic electronic medical records and statewide immunization information systems in the US study, and this is also suggested in other vaccinations such as influenza vaccination.23 Furthermore, our findings are also consistent with Forward et al.’s study showing that those who have received ≥ 3 doses have the highest sensitivity compared to those who have received 1 or 2 doses.22 It has been shown that self-reporting the number of doses is less accurate than any doses of HPV vaccine.22 However, the number of doses is important for clinical decisions if multi-dose vaccination is recommended (e.g. people with immunocompromising conditions). The authors only reported sensitivity but no other parameters such as specificity and predictive values due to the limitations of the health records and registry data.

The third study was published by Chow et al. (2021) among 192 GBMSM aged 16 to 20 years in Australia.17 We found that the sensitivity of self-reported vaccination status was higher in the current study (61%) compared to our previous study (48%) although the current study used in-house electronic health records as the reference standard while the previous study used documented vaccination records on the HPV or Immunization registries.17 Different age cohorts may also explain the difference in sensitivity as past studies have found that the sensitivity of self-reported vaccination status improves with increasing age.22 However, both studies reported similar positive and negative likelihood ratios, suggesting self-reported vaccination status is not useful for ruling in being vaccinated as both positive likelihood ratios were less than 10; and it is also not useful for ruling out being vaccinated as the negative likelihood ratios were greater than 0.1.

Electronic medical records could be considered as the gold standard to validate self-reported vaccination status, particularly when settings do not have a vaccine registry. A study conducted by Rolnick et al. (2013) in the United States examined the accuracy of self-reported vaccination status compared to electronic medical records on eight vaccines, and they found that the sensitivity and specificity vary by vaccines but not by demographic characteristics such as age and ethnicity.24 For example, the sensitivity ranges from 62.5% for hepatitis A to 92.1% for tetanus; while the specificity ranges from 11% for tetanus to 90.7% for pneumococcal.24 The variations in self-reporting vaccination may be due to several factors such as the time of vaccination (i.e. where individuals received their vaccination during childhood or adulthood), the purpose of vaccination (i.e. travel, employment, outbreak), and the number of doses or boosters of the vaccine. However, it is important to note that in-house electronic medical records may not be reliable and accurate if the individuals receive the vaccines outside the health system or service.

The major strength of this study is that this is the first time the sensitivity of self-reported vaccination status has been examined, stratified by HIV status and PrEP use. We found that PrEP users are more likely to correctly report their vaccination status compared to non-PrEP users and people living with HIV. This may be due to PrEP users having a higher sexual health literacy and proactively taking care of their sexual wellbeing including a higher vaccination coverage in other vaccines such as mpox.25,26 The large sample size of 1,665 GBMSM is another strength as it provides a more precise estimate compared to the previous three studies.17,21,22 However, our study also has several limitations. First, potential misclassification of true vaccination status might have occurred because we were only able to link the electronic health records at our clinic. During the time-limited HPV vaccination program in Victoria, free vaccines were also offered not only through sexual health clinics but also through other immunization providers. Some men may have received their HPV vaccination elsewhere. There were 82 men self-reported they had received HPV vaccines outside MSHC but we were unable to verify this. Furthermore, other free time-limited vaccinations including hepatitis A and meningococcal ACWY were also available in Victoria at the same time as the time-limited HPV vaccination program for GBMSM.27,28 It is possible that some men might be confused with other vaccinations. Self-reported vaccination status could be subject to false negatives where vaccinated individuals are incorrectly classified as unvaccinated and getting an unnecessary vaccine, and false positives where unvaccinated individuals are incorrectly classified as vaccinated and missing a vaccine. Second, we did not obtain consent from clients to verify the vaccination status on AIR due to the nature of retrospective data analysis. It is not a mandatory requirement to report vaccines if the individuals receive the vaccine through a time-limited catch-up program; and thus, accessing AIR data might not be helpful. Third, selection bias might have occurred due to our very restrictive inclusion criteria to ensure men were age-eligible for the time-limited HPV vaccination program. Therefore, our data may not be generalizable to all GBMSM, particularly to those who are not in this age group.

To conclude, the low sensitivity of self-reported HPV vaccination status means patient history has limited accuracy for verifying past HPV vaccination, and caution must be taken when using self-reported vaccination data while other verification methods are not available or accessible. Almost half of the men did not accurately self-report their HPV vaccination status, particularly one-third of men were unsure about their vaccination status. Accurately reporting HPV vaccination status is important for clinical decisions and management and for monitoring vaccination coverage to evaluate the impact of vaccination programs. In March 2021, MSHC introduced a free service to clients where they can receive an e-mail summary of their clinical visit to the service (including vaccinations they had received on the day of the visit),29 this additional vaccination record could provide the ability for the clients to report their vaccination status outside MSHC. Novel approaches such as digital vaccine passports may be useful for individuals to track their immunization records.

Acknowledgments

The authors thank Afrizal Afrizal at the Melbourne Sexual Health Centre for his assistance with data extraction.

Funding Statement

EPFC is supported by an Australian National Health and Medical Research Council (NHMRC) Emerging Leadership Investigator Grant [GNT1172873]. CKF and CSB are each supported by an Australian NHMRC Leadership Investigator Grant [GNT1172900 and GNT1173361, respectively].

Disclosure statement

EPFC has received educational grants from Seqirus Australia for educational, training, and academic purposes in the area of HPV outside the submitted work. EPFC has received honoraria from MSD and Seqirus Australia in the area of HPV outside the submitted work. EPFC, CKF and MYC have received funding for an Investigator-Initiated grant from MSD in the area of HPV outside the submitted work. CKF owns shares in CSL Limited.

Authors contribution

EPFC conceived the study and designed the study, performed data analyses and wrote the first draft of the manuscript. SA performed chart reviews to verify vaccination. CKF, CSB and MYC were involved in data interpretation. All authors were involved in revising the manuscript for important intellectual content and approving the final version. The corresponding author had full access to all the data in the study and had final responsibility for the decision to submit for publication.

Conference presentation

These data were presented as a poster presentation (#4811) at the EUROGIN (EUropean Research Organisation on Genital Infection and Neoplasia) 2023 in Bilbao, Spain, February 8–11, 2023.

Data availability statement

All data analyzed during this study are included in this article.

References

1. World Health Organization (WHO) . Immunization coverage. Geneva, Switzerland: World Health Organization (WHO); 2023. [Google Scholar]
2. Chow EP, Danielewski JA, Fehler G, Tabrizi SN, Law MG, Bradshaw CS, Garland SM, Chen MY, Fairley CK.. Human papillomavirus in young women with Chlamydia trachomatis infection 7 years after the Australian human papillomavirus vaccination programme: a cross-sectional study. Lancet Infect Dis. 2015;15(11):1314–8. doi: 10.1016/S1473-3099(15)00055-9. [PubMed] [CrossRef] [Google Scholar]
3. Chow EPF, Carter A, Vickers T, Fairley CK, McNulty A, Guy RJ, Regan DG, Grulich AE, Callander D, Khawar L, et al. Effect on genital warts in Australian female and heterosexual male individuals after introduction of the national human papillomavirus gender-neutral vaccination programme: an analysis of national sentinel surveillance data from 2004–18. Lancet Infect Dis. 2021;21(12):1747–56. doi: 10.1016/S1473-3099(21)00071-2. [PubMed] [CrossRef] [Google Scholar]
4. Drolet M, Benard E, Perez N, Brisson M, Ali H, Boily M-C, Baldo V, Brassard P, Brotherton JML, Callander D, et al. Population-level impact and herd effects following the introduction of human papillomavirus vaccination programmes: updated systematic review and meta-analysis. Lancet. 2019;394(10197):497–509. doi: 10.1016/S0140-6736(19)30298-3. [PMC free article] [PubMed] [CrossRef] [Google Scholar]
5. Lei J, Ploner A, Elfstrom KM, Wang J, Roth A, Fang F, Sundström K, Dillner J, Sparén P. HPV Vaccination and the risk of invasive cervical cancer. N Engl J Med. 2020;383(14):1340–8. doi: 10.1056/NEJMoa1917338. [PubMed] [CrossRef] [Google Scholar]
6. Chow EPF, Machalek DA, Tabrizi SN, Danielewski JA, Fehler G, Bradshaw CS, Garland SM, Chen MY, Fairley CK. Quadrivalent vaccine-targeted human papillomavirus genotypes in heterosexual men after the Australian female human papillomavirus vaccination programme: a retrospective observational study. Lancet Infect Dis. 2017;17(1):68–77. doi: 10.1016/S1473-3099(16)30116-5. [PubMed] [CrossRef] [Google Scholar]
7. Machalek DA, Chow EP, Garland SM, Wigan R, Cornall AM, Fairley CK, Kaldor JM, Hocking JS, Williams H, McNulty A, et al. Human papillomavirus prevalence in unvaccinated heterosexual men after a national female vaccination program. J Infect Dis. 2017;215:202–8. doi: 10.1093/infdis/jiw530. [PubMed] [CrossRef] [Google Scholar]
8. Chow EP, Read TR, Wigan R, Donovan B, Chen MY, Bradshaw CS, Fairley CK. Ongoing decline in genital warts among young heterosexuals 7 years after the Australian human papillomavirus (HPV) vaccination programme. Sex Transm Infect. 2015;91(3):214–9. doi: 10.1136/sextrans-2014-051813. [PubMed] [CrossRef] [Google Scholar]
9. Ali H, Donovan B, Wand H, Read TR, Regan DG, Grulich AE, Fairley CK, Guy RJ. Genital warts in young Australians five years into national human papillomavirus vaccination programme: national surveillance data. BMJ. 2013;346(Apr 18 1):f2032. doi: 10.1136/bmj.f2032. [PubMed] [CrossRef] [Google Scholar]
10. Chow EPF, Danielewski JA, Murray GL, Fehler G, Chen MY, Bradshaw CS, Garland SM, Fairley CK. Anal human papillomavirus infections in young unvaccinated men who have sex with men attending a sexual health clinic for HPV vaccination in Melbourne, Australia. Vaccine. 2019;37(43):6271–5. doi: 10.1016/j.vaccine.2019.08.066. [PubMed] [CrossRef] [Google Scholar]
11. Wei F, Gaisa MM, D’Souza G, Xia N, Giuliano AR, Hawes SE, Gao L, Cheng S-H, Donà MG, Goldstone SE, et al. Epidemiology of anal human papillomavirus infection and high-grade squamous intraepithelial lesions in 29 900 men according to HIV status, sexuality, and age: a collaborative pooled analysis of 64 studies. Lancet HIV. 2021;8(9):531–43. doi: 10.1016/S2352-3018(21)00108-9. [PMC free article] [PubMed] [CrossRef] [Google Scholar]
12. Machalek DA, Poynten M, Jin F, Fairley CK, Farnsworth A, Garland SM, Hillman RJ, Petoumenos K, Roberts J, Tabrizi SN, et al. Anal human papillomavirus infection and associated neoplastic lesions in men who have sex with men: a systematic review and meta-analysis. Lancet Oncol. 2012;13(5):487–500. doi: 10.1016/S1470-2045(12)70080-3. [PubMed] [CrossRef] [Google Scholar]
13. McGrath L, Fairley CK, Cleere EF, Bradshaw CS, Chen MY, Chow EPF. Human papillomavirus vaccine uptake among young gay and bisexual men who have sex with men with a time-limited targeted vaccination programme through sexual health clinics in Melbourne in 2017. Sex Transm Infect. 2019;95(3):181–6. doi: 10.1136/sextrans-2018-053619. [PubMed] [CrossRef] [Google Scholar]
14. World Health Organization (WHO) . HPV Dashboard. Geneva, Switzerland: World Health Organization; 2024. [Google Scholar]
15. Australian Government Department of Health and Aged Care . Using the Australian immunisation register. Canberra, Australia: The Department of Health and Aged Care, Australian Government; 2023. [Google Scholar]
16. Chambers C, Deeks SL, Sutradhar R, Cox J, de Pokomandy A, Grennan T, Hart TA, Lambert G, Moore DM, Grace D, et al. Self-reported human papillomavirus vaccination and vaccine effectiveness among men who have sex with men: a quantitative bias analysis. Epidemiology. 2023;34(2):225–9. doi: 10.1097/EDE.0000000000001580. [PMC free article] [PubMed] [CrossRef] [Google Scholar]
17. Chow EP, Fairley CK, Wigan R, Hocking JS, Garland SM, Cornall AM, Tabrizi SN, Chen MY. Accuracy of self-reported human papillomavirus vaccination status among gay and bisexual adolescent males: cross-sectional study. JMIR Public Health Surveill. 2021;7(12):e32407. doi: 10.2196/32407. [PMC free article] [PubMed] [CrossRef] [Google Scholar]
18. Phillips TR, Fairley CK, Donovan B, Ong JJ, McNulty A, Marshall L, Templeton DJ, Owen L, Ward A, Gunathilake M, et al. Sexual health service adaptations to the coronavirus disease 2019 (COVID-19) pandemic in Australia: a nationwide online survey. Aust N Z J Public Health. 2021;45(6):622–7. doi: 10.1111/1753-6405.13158. [PMC free article] [PubMed] [CrossRef] [Google Scholar]
19. Htaik K, Fairley CK, Chen MY, Wigan R, Rodriguez E, Bradshaw CS, Chow EPF. Human papillomavirus vaccine course completion among gay and bisexual men who have sex with men from a time-limited HPV vaccination catch-up program in Victoria, Australia. Front Public Health. 2021;9:754112. doi: 10.3389/fpubh.2021.754112. [PMC free article] [PubMed] [CrossRef] [Google Scholar]
20. McHugh ML. Interrater reliability: the kappa statistic. Biochem Med (Zagreb). 2012;22:276–82. doi: 10.11613/BM.2012.031. [PMC free article] [PubMed] [CrossRef] [Google Scholar]
21. Thomas R, Higgins L, Ding L, Widdice LE, Chandler E, Kahn JA. Factors associated with HPV vaccine initiation, vaccine completion, and accuracy of self-reported vaccination status among 13- to 26-year-old men. Am J Mens Health. 2018;12(4):819–27. doi: 10.1177/1557988316645155. [PMC free article] [PubMed] [CrossRef] [Google Scholar]
22. Forward T, Meites E, Lin J, Hughes JP, Unger ER, Markowitz LE, Golden M, Swanson F, Faestel PM, Winer RL, et al. Sensitivity of self-reported human papillomavirus vaccination history among 18- to 26-year-old men who have sex with men: Seattle, WA, 2016 to 2018. Sex Transm Dis. 2022;49(1):81–5. doi: 10.1097/OLQ.0000000000001503. [PMC free article] [PubMed] [CrossRef] [Google Scholar]
23. Nowalk MP, D’Agostino HEA, Zimmerman RK, Saul SG, Susick M, Raviotta JM, Sax TM, Balasubramani GK. Agreement among sources of adult influenza vaccination in the age of immunization information systems. Vaccine. 2021;39(47):6829–36. doi: 10.1016/j.vaccine.2021.10.041. [PMC free article] [PubMed] [CrossRef] [Google Scholar]
24. Rolnick SJ, Parker ED, Nordin JD, Hedblom BD, Wei F, Kerby T, Jackson JM, Crain AL, Euler G. Self-report compared to electronic medical record across eight adult vaccines: do results vary by demographic factors? Vaccine. 2013;31(37):3928–35. doi: 10.1016/j.vaccine.2013.06.041. [PMC free article] [PubMed] [CrossRef] [Google Scholar]
25. Chow EPF, Samra RS, Bradshaw CS, Chen MY, Williamson DA, Towns JM, Maddaford K, Mercury F, Fairley CK. Mpox knowledge, vaccination and intention to reduce sexual risk practices among men who have sex with men and transgender people in response to the 2022 mpox outbreak: a cross-sectional study in Victoria, Australia. Sex Health. 2023;20(5):390–402. doi: 10.1071/SH23075. [PubMed] [CrossRef] [Google Scholar]
26. Chow EPF, Chen MY, Bradshaw CS, Towns JM, Fairley CK. Accessing first doses of mpox vaccine made available in Victoria, Australia. Lancet Reg Health West Pac. 2023;31:100712. doi: 10.1016/j.lanwpc.2023.100712. [PMC free article] [PubMed] [CrossRef] [Google Scholar]
27. Burrell S, Vodstrcil LA, Fairley CK, Kilner A, Bradshaw CS, Chen MY, Chow EPF. Hepatitis a vaccine uptake among men who have sex with men from a time-limited vaccination programme in Melbourne in 2018. Sex Transm Infect. 2020;96(2):110–14. doi: 10.1136/sextrans-2019-054132. [PubMed] [CrossRef] [Google Scholar]
28. Martin-Sanchez M, Fairley CK, Bradshaw CS, Chen MY, Chow EPF. Meningococcal vaccine uptake among men who have sex with men in response to an invasive meningococcal C disease outbreak in Melbourne, Australia. Sex Transm Infect. 2020;96(4):246–50. doi: 10.1136/sextrans-2019-054318. [PubMed] [CrossRef] [Google Scholar]
29. Huang F, Fairley CK, Lee DM, Rahman R, Ong JJ, Bradshaw CS, Chen MY, Phillips TR, Chow EPF. Factors associated with consenting to receive an automated email summary after a sexual health clinic visit. Sex Transm Dis. 2023;50(10):664–70. doi: 10.1097/OLQ.0000000000001847. [PubMed] [CrossRef] [Google Scholar]

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