Daniel Medel, Mercedes Reguant, Tània Cemeli, María Jiménez Herrera, Carme Campoy, Aida Bonet, Montserrat Sanromà-Ortíz, Judith Roca
Analysis of Knowledge and Satisfaction in Virtual Clinical Simulation among Nursing Students: A Mixed Study
Nursing reports (Pavia, Italy)
using global positioning systems gps assess individuals exposure environment first step data cleaning establish minimum gps inclusion criteria set rules used determine gps data able included analyses care needed stage avoid data exclusion data loss systematically biasing results terms characteristics environment participants extent potential systematic bias sample retention due gps data loss application gps inclusion criteria unknown aim study describe differences sample size sociodemographic characteristics retained sample applying three different gps inclusion criteria study assessed 7day gps data collected children aged 913 years recruited nine schools auckland new zealand part kids city study participants ethnic minorities attending schools lower socioeconomic areas disproportionately excluded retained samples highlights potential equity implications basing assessment exposurewhich ultimately influences research results relationship environment healthon nonrepresentative gps data