Estimation of vaccination coverage from electronic healthcare records; methods performance evaluation – A contribution of the ADVANCE-project


Autoři: Toon Braeye aff001;  Vincent Bauchau aff003;  Miriam Sturkenboom aff004;  Hanne-Dorthe Emborg aff007;  Ana Llorente García aff008;  Consuelo Huerta aff008;  Elisa Martin Merino aff008;  Kaatje Bollaerts aff004
Působiště autorů: Sciensano, Brussels, Belgium aff001;  Hasselt University, Hasselt, Belgium aff002;  GSK Vaccines, Wavre, Belgium aff003;  P95 Epidemiology and Pharmacovigilance, Leuven, Belgium aff004;  VACCINE.GRID foundation, Basel, Switzerland aff005;  University Medical Center Utrecht, Julius Global Health, Utrecht, the Netherlands aff006;  Statens Serum Institut, Copenhagen, Denmark aff007;  BIFAP database, Spanish Agency of Medicines and Medical Devices, Madrid, Spain aff008
Vyšlo v časopise: PLoS ONE 14(9)
Kategorie: Research Article
doi: 10.1371/journal.pone.0222296

Souhrn

Introduction

The Accelerated Development of VAccine beNefit-risk Collaboration in Europe (ADVANCE) is a public private collaboration aiming to develop and test a system for rapid benefit-risk (B/R) monitoring of vaccines, using existing electronic healthcare record (eHR) databases in Europe.

Part of the data in such sources is missing due to incomplete follow-up hampering the accurate estimation of vaccination coverage. We compared different methods for coverage estimation from eHR databases; naïve period prevalence, complete case period prevalence, period prevalence adjusted for follow-up time, Kaplan-Meier (KM) analysis and (adjusted) inverse probability weighing (IPW).

Methods

We created simulation scenarios with different proportions of completeness of follow-up. Both completeness independent and dependent from vaccination date and status were considered. The root mean squared error (RMSE) and relative difference between the estimated and true coverage were used to assess the performance of the different methods for each of the scenarios. We included data examples on the vaccination coverage of human papilloma virus and pertussis component containing vaccines from the Spanish BIFAP database.

Results

Under completeness independent from vaccination date or status, several methods provided estimates with bias close to zero. However, when dependence between completeness of follow-up and vaccination date or status was present, all methods generated biased estimates. The IPW/CDF methods were generally the least biased. Preference for a specific method should be based on the type of censoring and type of dependence between completeness of follow-up and vaccination. Additional insights into these aspects, might be gained by applying several methods.

Klíčová slova:

Biology and life sciences – Immunology – Vaccination and immunization – Organisms – Eukaryota – Animals – Vertebrates – Amniotes – Mammals – Primates – Apes – Viruses – DNA viruses – Papillomaviruses – Human papillomavirus – Viral pathogens – Papillomaviruses – Human papillomavirus – Microbiology – Medical microbiology – Microbial pathogens – Viral pathogens – Papillomaviruses – Human papillomavirus – Medicine and health sciences – Immunology – Vaccination and immunization – Public and occupational health – Preventive medicine – Vaccination and immunization – Infectious diseases – Infectious disease control – Vaccines – Pathology and laboratory medicine – Pathogens – Microbial pathogens – Viral pathogens – Papillomaviruses – Human papillomavirus – Physical sciences – Mathematics – Probability theory – Probability distribution – Research and analysis methods – Database and informatics methods – Simulation and modeling – People and places – Geographical locations – Europe


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PLOS One


2019 Číslo 9

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