How Immunization Information Systems Inform Age-Based HPV Vaccination Recommendations in the United States: A Mixed-Methods Study
Abstract
1. Introduction
2. Materials and Methods
2.1. Measures
2.2. Analysis
3. Results
3.1. Survey of HPV Vaccination Forecasts
3.2. Focus Groups on IIS Implementation
3.2.1. Overview of Participating Jurisdictions
3.2.2. Customizability of IISs
“So they’ve really gone into a model of they need to evaluate this as a consortium as a whole and determine whether or not it’s a change that is going to benefit the whole consortium. So sometimes we don’t even have a say in that decision-making.”
“Wisconsin owns the base code and the license overall, but … we can make the changes that we need that make sense for our jurisdiction, but we need to be willing to share those with others.”
“We can make changes more quickly instead of a vendor. And the look and feel, and everything, is totally customizable.”
3.2.3. Decision-Making Around IIS Functions
“We do have close coordination with our Chapter of the AAP, with our Medicaid agencies, [the jurisdiction immunization coalition]. We have all of our Vaccines for Children (VFC) providers that have certain requirements in order to be VFC providers. We work closely with pharmacies as well. There are lots of different entities that we hear feedback from and engage with that help to inform policies and things.”
“There was lots of different advocacy groups coming out pushing 9. …Multiple people had come to us saying, hey, can this change? Providers were asking for it, which was pretty great.”
“I like standards, I like for the forecaster and for the system to behave according to ACIP recommendations pretty strictly. I personally wish the routine recommendation was at 9, that would clear up a lot of confusion.”
3.2.4. Changes to HPV Vaccination Forecast
“…we still saw significant gaps between HPV initiation and the Tdap and meningococcal vaccinations and also significant gaps between HPV completion and HPV initiation… That started broader conversations for us about what we can do to increase both initiation and completion rates. And I think that strategically we were also seeing it as starting earlier at age 9 gives providers more time to achieve completion by age 13.”
“We changed all our media and followed what the ACS was doing and changed our recommendation to 9. And we felt like, because we were recommending at 9, we should probably make that change [to the IIS]. And we actually did take it to the vaccine advisory board, and we had to get approval from them to do it.”
“So we really utilized our HPV Free Task Force to start to spread that message that people were allowed to start at 9. And because the actual recommendation from [the Department of Health] had not actually made that formal change in IIS, we really just shared this message as, this is an allowable thing.”
“But we said what if it [IIS] actually said that they’re due at 9 … would that make a difference? And we made sure that we had widespread support for it in our immunization community, and then it got brought to the vaccine advisory committee: let’s discuss this. Is there enough support behind this?”
“…How would we do the wording so that we don’t lose CDC funding, break some kind of contract? It’s just like, we don’t want to make an enemy, so how do we do this in concert with them, so that we have their approval? …So we were able to basically say we’re swimming with the CDC, we’re not going against them, we’re all going in the same direction.”
“…There can be some provider anxiety because it feels very different to them, but I think that our provider communication plan really acknowledges that difference in how to explain this to providers in a way that doesn’t feel like this is a massive switch but an expansion upon the work that they are already implementing.”
“…the culture has definitely shifted. I was in a meeting yesterday where everybody was talking about, ‘Oh, it’s a lot easier, and, you know, I didn’t think it would be.’”
“We have actually partnered with a provider who has been a long-time champion of vaccinating starting at age 9, well before any of this conversation, as it was up to a clinician’s discretion to be able to vaccinate at age 9. And so he has done a statewide webinar that was pretty well-received and is helping us think about how we frame out that clinician educational piece of implementation at a clinic level of the strategy of 9.”
“When we were made aware that we could have it as optional starting at age 9, because it used to say, “Not yet due until age 11,” … we talked about it, and we said, ‘Yeah, we definitely want to do that’….”
“Every state [that uses STC Health] has the option to override the CDC requirements or ACIP requirements….”
“…changing the earliest recommendation age for a vaccine schedule like that is super simple. I went in and moved it from 11 down to 9.”
“And of course, then there was the cost of publicizing it, making a training video, and making the dashboard. There are those downstream costs to promoting it at age 9, for sure.”
“We’d have to go through a pretty involved partner engagement process to look at the pros and cons of setting something in place like that here.”
3.2.5. Interoperability with EHR
“…we print the forecast [from the IIS] and put it on the clipboard when we go in the room, and we look at the actual IIS forecast more than we’re actually looking at our EHR. And there’s historical reasons for that, because the EHR, when it was getting built with the recommendations in the EHR sometimes weren’t accurate, and so it didn’t build a ton of trust for pediatricians in navigating that system initially.”
“So I talk to a lot of providers that look in both systems all of the time, maybe they don’t know that they have the functionality to view it in their EHR, maybe they don’t like the display, that [the IIS] is easier for them… So I would say there’s a lot of variation among workflows, too.”
4. Discussion
5. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
Abbreviations
AAP | American Academy of Pediatrics |
ACIP | Advisory Committee on Immunization Practices |
ACS | American Cancer Society |
CDC | U.S. Centers for Disease Control and Prevention |
EHR | Electronic health records |
HPV | Human papillomavirus |
IIS | Immunization information system |
Tdap | Tetanus-diphtheria-acellular pertussis vaccine |
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Characteristics | n (%) |
---|---|
Offers one age or date option for HPV vaccination | 6 (12) |
Offers a range of age or date options for HPV vaccination | 43 (88) |
Recommended age is 9 years | 14 (29) |
Recommended age is 11 years | 33 (67) |
Recommended age is 12 years | 1 (2) |
Recommended age is 15 years | 1 (2) |
Offers a minimum age or date (n = 42) | |
Minimum age is 9 years | 40 (95) |
Minimum age is 12 years | 1 (2) |
Minimum age is 15 years | 1 (2) |
Offers an overdue age or date (n = 34) | |
Overdue age is 12 years | 1 (3) |
Overdue age is 13 years | 30 (88) |
Overdue age is 14 years | 1 (3) |
Overdue age is 15 years | 2 (6) |
Job Title | n * |
---|---|
IIS manager | 6 |
Public health nurse consultant | 4 |
Immunization branch director/deputy director/supervisor | 5 |
Immunization coordinator | 4 |
Public health educator/manager/director | 2 |
CDC field designee/public health advisor | 2 |
Epidemiologist | 2 |
Data quality/quality improvement coordinator | 2 |
Business analyst | 2 |
Clinical application/services coordinator * | 2 |
Pediatrician * | 2 |
Cancer control program coordinator | 1 |
Vaccine systems and support manager | 1 |
Health promotion specialist | 1 |
Age 9 Forecast | Age ≥ 11 Forecast | ||
---|---|---|---|
North Dakota | 78.5 (69.3 to 85.6) | Rhode Island | 80.4 (68.8 to 88.3) |
Illinois—City of Chicago | 75.6 (65.0 to 83.8) | Massachusetts | 80.2 (72.8 to 86.0) |
Texas—City of Houston | 68.1 (57.8 to 76.8) | Hawaii | 68.1 (59.7 to 75.5) |
Oregon | 65.3 (56.3 to 73.4) | South Dakota | 65.6 (55.8 to 74.2) |
Minnesota | 65.0 (56.4 to 72.6) | Colorado | 65.2 (57.0 to 72.6) |
Illinois | 63.0 (56.8 to 68.9) | Michigan | 64.9 (54.3 to 74.2) |
Alabama | 59.1 (51.1 to 66.7) | New Mexico | 64.3 (55.0 to 72.6) |
Maine | 58.8 (50.7 to 66.5) | Wisconsin | 63.6 (55.6 to 70.9) |
Washington | 58.6 (48.4 to 68.1) | Maryland | 63.6 (55.0 to 71.4) |
Utah | 58.4 (47.4 to 68.6) | Iowa | 63.2 (53.2 to 72.2) |
Indiana | 57.1 (47.5 to 66.3) | Connecticut | 63.1 (49.7 to 74.8) |
Texas | 54.3 (45.7 to 62.6) | New York State | 61.7 (55.2 to 67.8) |
Texas—Bexar County | 52.6 (43.5 to 61.5) | Vermont | 61.5 (50.3 to 71.7) |
Alaska | 47.5 (37.7 to 57.6) | New Hampshire | 61.3 (51.9 to 70.0) |
North Carolina | 61.2 (51.3 to 70.2) | ||
Ohio | 60.6 (50.7 to 69.7) | ||
Nebraska | 58.4 (48.8 to 67.5) | ||
Florida | 58.4 (48.1 to 68.1) | ||
Louisiana | 58.1 (48.5 to 67.1) | ||
Arizona | 57.6 (48.2 to 66.5) | ||
South Carolina | 56.3 (47.4 to 64.9) | ||
California | 56.1 (45.7 to 66.0) | ||
Virginia | 56 (44.5 to 66.9) | ||
Tennessee | 54.2 (42.9 to 65.1) | ||
Missouri | 50.4 (39.4 to 61.4) | ||
Idaho | 50.0 (40.6 to 59.4) | ||
West Virginia | 48.2 (40.2 to 56.3) | ||
Wyoming | 47.9 (38.9 to 56.9) | ||
U.S. Virgin Islands | 45.9 (28.5 to 64.4) | ||
Kentucky | 44.5 (36.0 to 53.4) | ||
Nevada | 44.1 (35.2 to 53.4) | ||
New Jersey | 42.7 (34.9 to 50.9) | ||
Georgia | 40.1 (29.3 to 52.0) | ||
Oklahoma | 36.1 (27.6 to 45.6) |
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Vielot, N.A.; Bucklin, I.K.; Westfall, K.; Kepka, D.; Zimet, G.; Zorn, S. How Immunization Information Systems Inform Age-Based HPV Vaccination Recommendations in the United States: A Mixed-Methods Study. Vaccines 2025, 13, 716. https://doi.org/10.3390/vaccines13070716
Vielot NA, Bucklin IK, Westfall K, Kepka D, Zimet G, Zorn S. How Immunization Information Systems Inform Age-Based HPV Vaccination Recommendations in the United States: A Mixed-Methods Study. Vaccines. 2025; 13(7):716. https://doi.org/10.3390/vaccines13070716
Chicago/Turabian StyleVielot, Nadja A., Isabelle K. Bucklin, Kristy Westfall, Deanna Kepka, Gregory Zimet, and Sherri Zorn. 2025. "How Immunization Information Systems Inform Age-Based HPV Vaccination Recommendations in the United States: A Mixed-Methods Study" Vaccines 13, no. 7: 716. https://doi.org/10.3390/vaccines13070716
APA StyleVielot, N. A., Bucklin, I. K., Westfall, K., Kepka, D., Zimet, G., & Zorn, S. (2025). How Immunization Information Systems Inform Age-Based HPV Vaccination Recommendations in the United States: A Mixed-Methods Study. Vaccines, 13(7), 716. https://doi.org/10.3390/vaccines13070716