Predicting healthcare outcomes in prematurely born infants using cluster analysis
Sign Up to like & getrecommendations! Published in 2018 at "Pediatric Pulmonology"
DOI: 10.1002/ppul.24050
Abstract: Prematurely born infants are at high risk of respiratory morbidity following neonatal unit discharge, though prediction of outcomes is challenging. We have tested the hypothesis that cluster analysis would identify discrete groups of prematurely born… read more here.
Keywords: born infants; prematurely born; predicting healthcare; cluster analysis ... See more keywords
Predicting healthcare utilization in youth with type 1 diabetes: The importance of family level variables
Sign Up to like & getrecommendations! Published in 2020 at "Pediatric Diabetes"
DOI: 10.1111/pedi.13146
Abstract: Little is known about how family factors impacting treatment adherence in type 1 diabetes are directly associated with unplanned healthcare utilization (e.g., emergency room visits and hospital admissions). Given the substantial financial burden of diabetes,… read more here.
Keywords: family; type diabetes; utilization youth; predicting healthcare ... See more keywords
Predicting Healthcare-associated Infections: are Point of Prevalence Surveys data useful?
Sign Up to like & getrecommendations! Published in 2022 at "Journal of Preventive Medicine and Hygiene"
DOI: 10.15167/2421-4248/jpmh2022.63.2.1496
Abstract: Summary Introduction Since 2012, the European Centre for Disease Prevention and Control (ECDC) promotes a point prevalence survey (PPS) of HAIs in European acute care hospitals. Through a retrospective analysis of 2012, 2015 and 2017… read more here.
Keywords: associated infections; prevalence; point prevalence; healthcare associated ... See more keywords