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3.
J Manag Care Spec Pharm ; 26(1): 42-47, 2020 Jan.
Article in English | MEDLINE | ID: mdl-31880234

ABSTRACT

BACKGROUND: Influenza (also known as "flu") is estimated to cause between 12,000 and 79,000 deaths annually. Vaccinations are beneficial in preventing influenza cases and reducing the likelihood of severe outcomes. Unfortunately, vaccination coverage is low among uninsured populations. Removing the cost barrier can help increase vaccination coverage in this group, averting flu cases and related morbidity and costs. OBJECTIVE: To model the potential effect of providing no-cost flu vaccinations to uninsured individuals on influenza-related morbidity, mortality, and costs. METHODS: In collaboration with the Department of Health and Human Services and local agencies, Walgreens pharmacies provided free flu vaccinations through a nationwide voucher distribution program. We calculated the redemption rate, potentially averted cases, and estimated cost savings for the 2015-2016 and 2016-2017 flu seasons. Using incidence and vaccine effectiveness estimates from the Centers for Disease Control and Prevention, we calculated the rate of influenza in the general population and the estimated cases averted based on the number of redeemed vouchers. We applied patient age along with parameters from published studies to estimate averted ambulatory care visits, hospitalizations, mortality, productively losses, and overall related costs. RESULTS: During the 2015-2016 flu season, the pharmacy chain distributed 600,000 vouchers with a redemption rate of 52.3%, resulting in 314,033 flu vaccinations. Improvements were subsequently made to the distribution process to increase utilization rates. There were 400,000 vouchers distributed during the 2016-2017 season with a higher redemption rate of 87.2%, resulting in 348,924 flu vaccinations. The estimated number of potentially averted cases was higher during the 2016-2017 season (13,347) than the 2015-2016 season (11,537) due to a higher redemption rate and increased flu activity. Taken together, we estimated that 8,621 ambulatory care visits, 314 hospitalizations, and 15 deaths were averted due to the flu voucher program. Averted health care costs totaled $937,494 in ambulatory care visits and $3,510,055 in hospitalizations. Averted productivity losses ranged from $4,473,509 to $14,613,502. CONCLUSIONS: This study demonstrates the effectiveness of a pharmacy-led partnership with local community-based organizations to promote flu vaccinations among uninsured individuals. Our model found that a no-cost flu voucher program has the potential to reduce influenza-related morbidity, mortality, and costs. DISCLOSURES: This study was funded by Walgreen Co. All authors are employees of Walgreen Co. and affiliated with Walgreens Center for Health and Wellbeing Research. Findings from this study were presented as a podium presentation at the Academy of Managed Care Pharmacy Nexus 2018; October 22-25, 2018; Orlando, FL.


Subject(s)
Community Pharmacy Services/economics , Drug Costs , Health Services Accessibility/economics , Influenza Vaccines/administration & dosage , Influenza Vaccines/economics , Influenza, Human/economics , Influenza, Human/prevention & control , Mass Vaccination/economics , Adolescent , Adult , Aged , Aged, 80 and over , Child , Child, Preschool , Community Pharmacy Services/organization & administration , Cost Savings , Cost-Benefit Analysis , Female , Health Services Accessibility/organization & administration , Humans , Influenza Vaccines/adverse effects , Influenza, Human/mortality , Male , Mass Vaccination/adverse effects , Mass Vaccination/mortality , Medically Uninsured , Middle Aged , Program Evaluation , Retrospective Studies , Risk Assessment , Risk Factors , Time Factors , Treatment Outcome , United States/epidemiology , Young Adult
4.
Buenos Aires; GCBA. Gerencia Operativa de Epidemiología; 13 jul. 2018. a) f: 13 l:18 p. graf.(Boletín Epidemiológico Semanal: Ciudad Autónoma de Buenos Aires, 3, 99).
Monography in Spanish | UNISALUD, BINACIS, InstitutionalDB, LILACS | ID: biblio-1103155

ABSTRACT

Los Eventos Supuestamente Atribuidos a la Vacunación o Inmunización o ESAVI se definen como todo cuadro clínico que aparece luego de la administración de una vacuna y que supuestamente pueda atribuirse a la misma. Incluye los errores programáticos relacionados con la vacunación. Un ESAVI grave es todo aquel evento que resulte en hospitalización o fallecimiento. Es importante mencionar que un ESAVI, si bien denota una asociación temporal, no implica necesariamente una relación de causa y efecto. La causalidad entre el evento y la vacunación se determinará mediante la investigación del caso. La información aquí presentada surge del análisis de la base de datos de ESAVI del Programa de Inmunizaciones de la Ciudad de Buenos Aires, alimentada por las notificaciones realizadas por efectores públicos y privados de la ciudad. Se incluyen residentes y no residentes de la ciudad, sin realizar distinción entre ellos. Para calcular las tasas se utilizó como denominador las dosis aplicadas en 2017 en la Ciudad de Buenos Aires, tanto a residentes como no residentes. Se cuenta con datos de aquellas vacunas incluidas en el Calendario Nacional de Vacunación del sector público, de la seguridad social y privado. (AU)


Subject(s)
Mass Vaccination/adverse effects , Mass Vaccination/mortality , Vaccination/adverse effects , Vaccination/trends , Vaccination/statistics & numerical data , Drug-Related Side Effects and Adverse Reactions/classification , Drug-Related Side Effects and Adverse Reactions/diagnosis , Immune System Phenomena/drug effects
5.
Euro Surveill ; 21(16)2016 04 21.
Article in English | MEDLINE | ID: mdl-27123691

ABSTRACT

During the 2009/10 influenza A(H1N1)pdm09 pandemic, the five Nordic countries adopted different approaches to pandemic vaccination. We compared pandemic vaccination strategies and severe influenza outcomes, in seasons 2009/10 and 2010/11 in these countries with similar influenza surveillance systems. We calculated the cumulative pandemic vaccination coverage in 2009/10 and cumulative incidence rates of laboratory confirmed A(H1N1)pdm09 infections, intensive care unit (ICU) admissions and deaths in 2009/10 and 2010/11. We estimated incidence risk ratios (IRR) in a Poisson regression model to compare those indicators between Denmark and the other countries. The vaccination coverage was lower in Denmark (6.1%) compared with Finland (48.2%), Iceland (44.1%), Norway (41.3%) and Sweden (60.0%). In 2009/10 Denmark had a similar cumulative incidence of A(H1N1)pdm09 ICU admissions and deaths compared with the other countries. In 2010/11 Denmark had a significantly higher cumulative incidence of A(H1N1)pdm09 ICU admissions (IRR: 2.4; 95% confidence interval (CI): 1.9-3.0) and deaths (IRR: 8.3; 95% CI: 5.1-13.5). Compared with Denmark, the other countries had higher pandemic vaccination coverage and experienced less A(H1N1)pdm09-related severe outcomes in 2010/11. Pandemic vaccination may have had an impact on severe influenza outcomes in the post-pandemic season. Surveillance of severe outcomes may be used to compare the impact of influenza between seasons and support different vaccination strategies.


Subject(s)
Influenza A Virus, H1N1 Subtype , Influenza, Human/mortality , Influenza, Human/prevention & control , Mass Vaccination/statistics & numerical data , Pandemics/prevention & control , Pandemics/statistics & numerical data , Adolescent , Adult , Aged , Aged, 80 and over , Child , Child, Preschool , Female , Hospitalization/statistics & numerical data , Humans , Infant , Influenza Vaccines/therapeutic use , Influenza, Human/virology , Intensive Care Units/statistics & numerical data , Male , Mass Vaccination/methods , Mass Vaccination/mortality , Middle Aged , Pregnancy , Prevalence , Risk Factors , Scandinavian and Nordic Countries/epidemiology , Seasons , Severity of Illness Index , Survival Rate , Treatment Outcome , Young Adult
6.
Dtsch Arztebl Int ; 113(9): 139-46, 2016 Mar 04.
Article in English | MEDLINE | ID: mdl-26987462

ABSTRACT

BACKGROUND: Streptococcus pneumoniae is responsible for approximately 1.6 million yearly deaths worldwide. An up-to-date evidence base on the effects of pneumococcal conjugate vaccines (PCVs) on infectious diseases and mortality in any population or setting regardless of age or health status is currently lacking. METHODS: We systematically searched MEDLINE and EMBASE for pertinent randomized controlled trials (RCTs). Two reviewers independently screened 9498 titles/abstracts and 430 full-text papers for eligible trials. The outcomes of our meta-analysis were pooled using relative risks (RRs) with a random effects model or Peto's odds ratios (ORs) if event rates were :lt;1%. RESULTS: 21 RCTs comprising 361 612 individuals were included. PCVs reduced the risk for invasive pneumococcal disease (odds ratio [OR]: 0.43, 95% confidence interval [CI]: [0.36; 0.51]), all-cause acute otitis media (AOM) (RR: 0.93, 95% CI: [0.86; 1.00]), pneumococcal AOM (RR: 0.57, 95% CI: [0.39; 0.83]), allcause pneumonia (RR: 0.93, 95% CI: [0.89; 0.97]), and pneumococcal pneumonia (RR: 0.78, 95% CI: [0.62; 0.97]). We found no significant effect of PCVs on all-cause mortality (RR: 0.95, 95% CI: [0.88; 1.03]) or recurrent AOM (RR: 0.87, 95% CI: [0.72; 1.05]). CONCLUSION: PCVs are associated with large risk reductions for pneumococcal infectious diseases, smaller risk reductions for infectious diseases from any cause, and no significant effect on all-cause mortality.


Subject(s)
Mass Vaccination/mortality , Mass Vaccination/statistics & numerical data , Pneumococcal Infections/mortality , Pneumococcal Infections/prevention & control , Pneumococcal Vaccines/therapeutic use , Randomized Controlled Trials as Topic/statistics & numerical data , Adolescent , Adult , Age Distribution , Aged , Child , Child, Preschool , Female , Germany/epidemiology , Humans , Infant , Infant, Newborn , Internationality , Male , Middle Aged , Risk Factors , Sex Distribution , Survival Rate , Treatment Outcome , Vaccines, Conjugate/therapeutic use , Young Adult
9.
PLoS Med ; 3(8): e272, 2006 Aug.
Article in English | MEDLINE | ID: mdl-16933957

ABSTRACT

BACKGROUND: Large quantities of smallpox vaccine have been stockpiled to protect entire nations against a possible reintroduction of smallpox. Planning for an appropriate use of these stockpiled vaccines in response to a smallpox outbreak requires a rational assessment of the risks of vaccination-related adverse events, compared to the risk of contracting an infection. Although considerable effort has been made to understand the dynamics of smallpox transmission in modern societies, little attention has been paid to estimating the frequency of adverse events due to smallpox vaccination. Studies exploring the consequences of smallpox vaccination strategies have commonly used a frequency of approximately one death per million vaccinations, which is based on a study of vaccination with the New York City Board of Health (NYCBH) strain of vaccinia virus. However, a multitude of historical studies of smallpox vaccination with other vaccinia strains suggest that there are strain-related differences in the frequency of adverse events after vaccination. Because many countries have stockpiled vaccine based on the Lister strain of vaccinia virus, a quantitative evaluation of the adverse effects of such vaccines is essential for emergency response planning. We conducted a systematic review and statistical analysis of historical data concerning vaccination against smallpox with different strains of vaccinia virus. METHODS AND FINDINGS: We analyzed historical vaccination data extracted from the literature. We extracted data on the frequency of postvaccinal encephalitis and death with respect to vaccinia strain and age of vaccinees. Using a hierarchical Bayesian approach for meta-analysis, we estimated the expected frequencies of postvaccinal encephalitis and death with respect to age at vaccination for smallpox vaccines based on the NYCBH and Lister vaccinia strains. We found large heterogeneity between findings from different studies and a time-period effect that showed decreasing incidences of adverse events over several decades. To estimate death rates, we then restricted our analysis to more-recent studies. We estimated that vaccination with the NYCBH strain leads to an average of 1.4 deaths per million vaccinations (95% credible interval, 0-6) and that vaccination with Lister vaccine leads to an average of 8.4 deaths per million vaccinations (95% credible interval, 0-31). We combined age-dependent estimates of the frequency of death after vaccination and revaccination with demographic data to obtain estimates of the expected number of deaths in present societies due to vaccination with the NYCBH and Lister vaccinia strains. CONCLUSIONS: Previous analyses of smallpox vaccination policies, which rely on the commonly assumed value of one death per million vaccinations, may give serious underestimates of the number of deaths resulting from vaccination. Moreover, because there are large, strain-dependent differences in the frequency of adverse events due to smallpox vaccination, it is difficult to extrapolate from predictions for the NYCBH-derived vaccines (stockpiled in countries such as the US) to predictions for the Lister-derived vaccines (stockpiled in countries such as Germany). In planning for an effective response to a possible smallpox outbreak, public-health decision makers should reconsider their strategies of when to opt for ring vaccination and when to opt for mass vaccination.


Subject(s)
Mass Vaccination/adverse effects , Vaccination/adverse effects , Vaccinia virus/classification , Vaccinia virus/immunology , Age Distribution , Disaster Planning , Encephalomyelitis, Acute Disseminated/epidemiology , Humans , Incidence , Mass Vaccination/mortality , Risk Assessment , Vaccination/mortality
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