| アブストラクト | BACKGROUND: In 2011, a unique Q fever vaccination campaign targeted people at risk for chronic Q fever in the southeast of the Netherlands. General practitioners referred patients with defined cardiovascular risk-conditions (age >15 years). Prevalence rates of those risk-conditions were lacking, standing in the way of adequate planning and coverage estimation. We aimed to obtain prevalence rates retrospectively in order to estimate coverage of the Q fever vaccination campaign. METHODS: With broad search terms for these predefined risk-conditions, we extracted patient-records from a large longitudinal general-practice research-database in the Netherlands (IPCI-database). After validation of these records, obtained prevalence rates (stratified for age and sex) extrapolated to the Q fever high-incidence area population, gave an approximation of the size of the targeted patient-group. Coverage calculation addressed people actually screened by a pre-vaccination Q fever skin test and serology (coverage) and patients referred by their general practitioners (adjusted-coverage) in the 2011 campaign. RESULTS: Our prevalence estimate of any risk-condition was 3.1% (lower-upper limits 2.9-3.3%). For heart valve defects, aorta aneurysm/prosthesis, congenital anomalies and endocarditis, prevalence was 2.4%, 0.6%, 0.4% and 0.1%, respectively. Estimated number of eligible people in the Q fever high-incidence area was 11,724 (10,965-12,532). With 1330 people screened for vaccination, coverage of the vaccination campaign was 11%. For referred people, the adjusted coverage was 18%. Coverage was lowest among the very-old and highest for people aged 50-70 years. CONCLUSION: The estimated coverage of the vaccination campaign was limited. This should be interpreted in the light of the complexity of this target-group with much co-morbidity, and of the vaccine that required invasive pre-vaccination screening. Calculation of prevalence rates of risk-conditions based on the IPCI-database was feasible. This procedure proved an efficient tool for future use, when prevalence estimates for policy, implementation or surveillance of subgroup-vaccination or other health-care interventions are needed. |
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| ジャーナル名 | PloS one |
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| 投稿日 | 2015/04/25 |
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| 投稿者 | Vermeer-de Bondt, Patricia E; Schoffelen, Teske; Vanrolleghem, Ann M; Isken, Leslie D; van Deuren, Marcel; Sturkenboom, Miriam C J M; Timen, Aura |
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| 組織名 | Centre for Infectious Disease Control, National Institute for Public Health and;Environment, Bilthoven, the Netherlands.;Department of Internal Medicine, Radboud University Medical Center, Nijmegen, the;Netherlands.;Department of Medical Informatics, Erasmus University Medical Center, Rotterdam,;the Netherlands. |
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| Pubmed リンク | https://www.ncbi.nlm.nih.gov/pubmed/25909712/ |
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