Appropriateness of administrative data for vaccine impact evaluation: the case of pneumonia hospitalizations and pneumococcal vaccine in Brazil

Epidemiology and Infection
Volume 143 – Issue 02 – January 2015
http://journals.cambridge.org/action/displayIssue?jid=HYG&tab=currentissue

Pneumococcal infection
Appropriateness of administrative data for vaccine impact evaluation: the case of pneumonia hospitalizations and pneumococcal vaccine in Brazil
S. SGAMBATTIa1 c1, R. MINAMISAVAa2, E. T. AFONSOa1a3, C. M. TOSCANOa4, A. L. BIERRENBACHa4 and A. L. ANDRADEa4
a1 Department of Medicine, Pontifical Catholic University of Goiás, Goiânia, Goiás, Brazil
a2 Faculty of Nursing, Federal University of Goiás, Goiânia, Goiás, Brazil
a3 Department of Pediatrics, School of Medicine, Federal University of Goiás, Goiânia, Goiás, Brazil
a4 Department of Community Health, Federal University of Goiás, Goiânia, Goiás, Brazil
SUMMARY
Ten-valent pneumococcal conjugate vaccine (PCV10) was recently introduced into the Brazilian Immunization Programme. Secondary data are used as a measurement of community-acquired pneumonia (CAP) burden, but their completeness and reliability need to be ascertained. We performed probabilistic linkage between hospital primary data from active prospective population-based surveillance (APS) and hospital secondary data from the Hospital Information System administrative database of the National Unified Health System (SIH-SUS). Children aged 2–23 months hospitalized during January–December 2012 were identified. Incidence rates of hospitalized CAP were estimated. Agreement of case identification was measured by kappa index. A total of 1639 (26%) CAP cases were identified in APS and 1714 (35%) in SIH-SUS. Of these 3353 records, 1127 CAP cases were present in both databases. Kappa on CAP case identification was 0•72 (95% confidence interval 0•69–0•75). CAP hospitalization incidence using administrative (5285/100 000) and hospital (5054/100 000) primary data were similar (P = 0•184). Our findings suggest that administrative databases of hospitalizations are reliable sources to assess PCV10 impact in time-series analyses.