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The potential population‐based impact of an HPV vaccination intervention in Colorado

BACKGROUND: Human papillomavirus (HPV) infection is the most common cause of cervical cancer and can be prevented with vaccination, but HPV vaccination rates remain low. An intervention to improve health care provider communication about vaccination has been shown to increase HPV vaccination rates i...

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Autores principales: Cataldi, Jessica R., Håbesland, Marian, Anderson‐Mellies, Amy, Dempsey, Amanda F., Cockburn, Myles
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7013051/
https://www.ncbi.nlm.nih.gov/pubmed/31869530
http://dx.doi.org/10.1002/cam4.2803
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author Cataldi, Jessica R.
Håbesland, Marian
Anderson‐Mellies, Amy
Dempsey, Amanda F.
Cockburn, Myles
author_facet Cataldi, Jessica R.
Håbesland, Marian
Anderson‐Mellies, Amy
Dempsey, Amanda F.
Cockburn, Myles
author_sort Cataldi, Jessica R.
collection PubMed
description BACKGROUND: Human papillomavirus (HPV) infection is the most common cause of cervical cancer and can be prevented with vaccination, but HPV vaccination rates remain low. An intervention to improve health care provider communication about vaccination has been shown to increase HPV vaccination rates in an initial trial in Colorado, where about 160 cases of cervical cancer are diagnosed each year. METHODS: Census data were combined with Colorado cancer and immunization registry data to identify clinics in locations that would most benefit from implementation of this intervention to improve HPV vaccination rates. ArcGIS Pro was used to map cervical cancer incidence, immunization rates, population data, and location of clinics participating in practice‐based research networks (PBRNs). Results from the provider communication intervention trial and published estimates of the number needed to vaccinate to prevent a case of cervical cancer were used to predict the number of cervical cancer cases prevented based on increased vaccination due to the intervention. RESULTS: Ninety‐eight Colorado PBRN clinics were analyzed. For the 10 clinics with the highest predicted number of cervical cancer cases prevented, 5218 additional patients would be vaccinated and 43 cervical cancer cases prevented with implementation of the intervention. If implemented in all 98 clinics, the intervention would lead to 20 490 additional patients vaccinated (range 7‐658/clinic) and 171 cases of cervical cancer prevented (range 0.05‐5.48/clinic). CONCLUSIONS: Geographic data from cancer and immunization registries can inform the dissemination of evidence‐based practices like the provider communication intervention for HPV vaccination to maximize impact on public health.
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spelling pubmed-70130512020-02-19 The potential population‐based impact of an HPV vaccination intervention in Colorado Cataldi, Jessica R. Håbesland, Marian Anderson‐Mellies, Amy Dempsey, Amanda F. Cockburn, Myles Cancer Med Cancer Prevention BACKGROUND: Human papillomavirus (HPV) infection is the most common cause of cervical cancer and can be prevented with vaccination, but HPV vaccination rates remain low. An intervention to improve health care provider communication about vaccination has been shown to increase HPV vaccination rates in an initial trial in Colorado, where about 160 cases of cervical cancer are diagnosed each year. METHODS: Census data were combined with Colorado cancer and immunization registry data to identify clinics in locations that would most benefit from implementation of this intervention to improve HPV vaccination rates. ArcGIS Pro was used to map cervical cancer incidence, immunization rates, population data, and location of clinics participating in practice‐based research networks (PBRNs). Results from the provider communication intervention trial and published estimates of the number needed to vaccinate to prevent a case of cervical cancer were used to predict the number of cervical cancer cases prevented based on increased vaccination due to the intervention. RESULTS: Ninety‐eight Colorado PBRN clinics were analyzed. For the 10 clinics with the highest predicted number of cervical cancer cases prevented, 5218 additional patients would be vaccinated and 43 cervical cancer cases prevented with implementation of the intervention. If implemented in all 98 clinics, the intervention would lead to 20 490 additional patients vaccinated (range 7‐658/clinic) and 171 cases of cervical cancer prevented (range 0.05‐5.48/clinic). CONCLUSIONS: Geographic data from cancer and immunization registries can inform the dissemination of evidence‐based practices like the provider communication intervention for HPV vaccination to maximize impact on public health. John Wiley and Sons Inc. 2019-12-23 /pmc/articles/PMC7013051/ /pubmed/31869530 http://dx.doi.org/10.1002/cam4.2803 Text en © 2019 The Authors. Cancer Medicine published by John Wiley & Sons Ltd. This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Cancer Prevention
Cataldi, Jessica R.
Håbesland, Marian
Anderson‐Mellies, Amy
Dempsey, Amanda F.
Cockburn, Myles
The potential population‐based impact of an HPV vaccination intervention in Colorado
title The potential population‐based impact of an HPV vaccination intervention in Colorado
title_full The potential population‐based impact of an HPV vaccination intervention in Colorado
title_fullStr The potential population‐based impact of an HPV vaccination intervention in Colorado
title_full_unstemmed The potential population‐based impact of an HPV vaccination intervention in Colorado
title_short The potential population‐based impact of an HPV vaccination intervention in Colorado
title_sort potential population‐based impact of an hpv vaccination intervention in colorado
topic Cancer Prevention
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7013051/
https://www.ncbi.nlm.nih.gov/pubmed/31869530
http://dx.doi.org/10.1002/cam4.2803
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