Paul M Mertes, Claire Morgand, Paul Barach, Geoffrey Jurkolow, Karen E Assmann, Edouard Dufetelle, Vincent Susplugas, Bilal Alauddin, Patrick Georges Yavordios, Jean Tourres, Jean-Marc Dumeix, Xavier Capdevila
Validation of a Natural Language Processing Algorithm using National Reporting Data to Improve Identification of Anesthesia-related ADVerse evENTs: The "ADVENTURE" Study
Anaesthesia, critical care & pain medicine
study aimed clinically validate nandai nursing diagnosis spiritual distress 00066 people assisted reproductive technologies determine sensitivity specificity predictive value defining characteristics crosssectional study conducted september 2019 june 2020 recruitment happened invitation posted fertilityrelated websites accepted participate asked fill consent form online questionnaire statistical analysis based raschs model study approved ethics committee sample comprised 104 portuguese individuals undergoing assisted reproductive techniques spiritual distress 00066 validated 22 defining characteristics confirmed representative item showed differential item functioning perceived suffering sensitive defining characteristic highest negative predictive value insufficient courage highest positive predictive value anger toward power greater self specific results validated presence nandai nursing diagnosis spiritual distress 00066 sample going assisted reproductive technologies improving accuracy nursing diagnosis population crucial step raise level evidence nursing diagnosis increase level evidence nandai terminology furthermore study contributed raising quality nurses critical judgement clinical reasoning allow early spiritual holistic personalized patientcentered intervention reproductive field