Literature DB >> 17682037

Identifying risk factors for underimmunization by using geocoding matched to census tracts: a statewide assessment of children in Hawaii.

Sara J Whitehead1, Kate X Cui, Anindya K De, Tracy Ayers, Paul V Effler.   

Abstract

OBJECTIVE: Obtaining childhood immunization coverage data for small geographic areas is difficult and resource-intensive, especially in the absence of comprehensive immunization registries. To identify factors that are associated with delayed immunization, we collected school-entry immunization records statewide and used geocoding to link to publicly available census tract sociodemographic data.
METHODS: Immunization records were reviewed for children who were enrolled in all public and private school kindergarten programs in Hawaii in the 2002-2003 school year; immunization status at the time of the second birthday was determined. The main outcome variable was up-to-date status for the 4:3:1:3:3 vaccination series (4 doses of diphtheria-tetanus-pertussis, 3 doses of polio, 1 dose of measles-mumps-rubella, 3 doses of Haemophilus influenzae type b, and 3 doses of hepatitis B vaccines). Children's home addresses were geocoded to census tracts; coverage rates by tract were mapped, and sociodemographic data from Census 2000 files were used to identify factors that were associated with delays in immunization.
RESULTS: Records were obtained for 15,275 of 15,594 children registered in Hawaii kindergartens. Overall, 78% had completed their 4:3:1:3:3 series by their second birthday. Risk factors for delayed immunization included delayed immunization at 3 months of age, living in Maui County, living in a neighborhood where a low proportion of adults had postsecondary education, and living in a neighborhood where a high proportion of households spoke a language other than English at home. The majority (80%) of underimmunized children would have required only 1 additional visit to bring them up-to-date.
CONCLUSIONS: Retrospective review of kindergarten-entry immunization data revealed geographic areas with lower immunization coverage, and geocoding to census tracts identified associated sociodemographic risk factors. This is a practical method for state or city health departments to identify pockets of need and to direct resources appropriately.

Entities:  

Mesh:

Year:  2007        PMID: 17682037     DOI: 10.1542/peds.2006-3296

Source DB:  PubMed          Journal:  Pediatrics        ISSN: 0031-4005            Impact factor:   7.124


  6 in total

1.  Socioeconomic and racial/ethnic disparities in the incidence of bacteremic pneumonia among US adults.

Authors:  Deron C Burton; Brendan Flannery; Nancy M Bennett; Monica M Farley; Ken Gershman; Lee H Harrison; Ruth Lynfield; Susan Petit; Arthur L Reingold; William Schaffner; Ann Thomas; Brian D Plikaytis; Charles E Rose; Cynthia G Whitney; Anne Schuchat
Journal:  Am J Public Health       Date:  2010-08-19       Impact factor: 9.308

2.  Area-Level Socioeconomic Factors Are Associated With Noncompletion of Pediatric Preventive Services.

Authors:  Margaret N Jones; Courtney M Brown; Michael J Widener; Heidi J Sucharew; Andrew F Beck
Journal:  J Prim Care Community Health       Date:  2016-02-16

3.  Socioeconomic Background and Commercial Health Plan Spending.

Authors:  Alyna T Chien; Joseph P Newhouse; Lisa I Iezzoni; Carter R Petty; Sharon-Lise T Normand; Mark A Schuster
Journal:  Pediatrics       Date:  2017-10-03       Impact factor: 7.124

4.  Effect of vaccination coordinators on socioeconomic disparities in immunization among the 2006 Connecticut birth cohort.

Authors:  Jessica A Kattan; Kathy S Kudish; Betsy L Cadwell; Kristen Soto; James L Hadler
Journal:  Am J Public Health       Date:  2013-11-14       Impact factor: 9.308

5.  Socio Cultural and Geographical Determinants of Child Immunisation in Borno State, Nigeria.

Authors:  Abubakar Kawu Monguno
Journal:  J Public Health Afr       Date:  2013-09-25

6.  Relationship between receipt of substitutable for-fee vaccines and completion of the expanded programme on immunisation: a cross-sectional study in Fujian, China.

Authors:  Jiang-Nan Wu; Da-Jin Li; Yong Zhou; Mei-Rong Du; Hai-Lan Piao
Journal:  BMJ Open       Date:  2017-07-20       Impact factor: 2.692

  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.