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1.
J Pediatr ; 166(1): 151-6, 2015 Jan.
Artigo em Inglês | MEDLINE | ID: mdl-25444525

RESUMO

OBJECTIVE: To identify children vaccinated following an alternative vaccine schedule using immunization information system data and determine the impact of alternative schedule use on vaccine coverage. STUDY DESIGN: Children born in New York State, outside New York City, between January 1, 2009 and August 14, 2011 were assessed for vaccination patterns consistent with use of an alternative schedule. Children who by 9 months of age had at least 3 vaccination visits recorded in the statewide mandatory immunization information system after 41 days of age were classified as either attempting to conform to the Centers for Disease Control and Prevention published recommended vaccination schedule or an alternative schedule. The number of vaccination visits and up-to-date status at age 9 months were compared between groups. RESULTS: Of the 222 628 children studied, the proportion of children following an alternative schedule was 25%. These children were significantly less likely to be up-to-date at age 9 months (15%) compared with those conforming to the routine schedule (90%, P < .05). Children following an alternative schedule on average had about 2 extra vaccine visits compared with children following a routine schedule (P < .05). CONCLUSIONS: Almost 1 in 4 children in this study appear to be intentionally deviating from the routine schedule. Intentional deviation leads to poor vaccination coverage leaving children vulnerable to infection and increasing the potential for vaccine-preventable disease outbreaks.


Assuntos
Esquemas de Imunização , Vacinação/estatística & dados numéricos , Feminino , Humanos , Lactente , Masculino , New York , Aceitação pelo Paciente de Cuidados de Saúde , Segurança , Recusa do Paciente ao Tratamento
2.
J Pediatr ; 157(5): 808-14, 2010 Nov.
Artigo em Inglês | MEDLINE | ID: mdl-20580018

RESUMO

OBJECTIVES: To estimate the rates of hospitalization with seasonal influenza in children aged <18 years from a large, diverse surveillance area during 2003 to 2008. STUDY DESIGN: Through the Emerging Infections Program Network, population-based surveillance for laboratory-confirmed influenza was conducted in 10 states, including 5.3 million children. Hospitalized children were identified retrospectively; clinicians made influenza testing decisions. Data collected from the hospital record included demographics, medical history, and clinical course. Incidence rates were calculated with census data. RESULTS: The highest hospitalization rates occurred in children aged <6 months (seasonal range, 9-30/10 000 children), and the lowest rates occurred in children aged 5 to 17 years (0.3-0.8/10 000). Overall, 4015 children were hospitalized, 58% of whom were identified with rapid diagnostic tests alone. Forty percent of the children who were hospitalized had underlying medical conditions; asthma (18%), prematurity (15% of children aged <2 years), and developmental delay (7%) were the most common. Severe outcomes included intensive care unit admission (12%), respiratory failure (5%), bacterial coinfection (2%), and death (0.5%). CONCLUSIONS: Influenza-associated hospitalization rates varied by season and age and likely underestimate true rates because many hospitalized children are not tested for influenza. The proportion of children with severe outcomes was substantial across seasons. Quantifying incidence of influenza hospitalization and severe outcomes is critical to defining disease burden.


Assuntos
Hospitalização/estatística & dados numéricos , Influenza Humana/epidemiologia , Adolescente , Criança , Pré-Escolar , Feminino , Humanos , Lactente , Influenza Humana/terapia , Masculino , Estudos Retrospectivos , Estações do Ano , Fatores de Tempo , Estados Unidos/epidemiologia
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