Blar i Artikler på forfatter "Deilkås, Ellen C Tveter"
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Opportunities for improvement in nursing homes: Variance of six patient safety climate factor scores across nursing homes and wards - Assessed by the Safety Attitudes Questionnaire
Deilkås, Ellen C Tveter; Hofoss, Dag; Husebø, Bettina; Bondevik, Gunnar Tschudi (Peer reviewed; Journal article, 2019) -
Opportunities for improvement in nursing homes: Variance of six patient safety climate factor scores across nursing homes and wards - Assessed by the Safety Attitudes Questionnaire
Deilkås, Ellen C Tveter; Hofoss, Dag; Husebø, Bettina; Bondevik, Gunnar Tschudi (Peer reviewed; Journal article, 2019) -
The safety attitudes questionnaire for out-of-hours service in primary healthcare—Psychometric properties of the Croatian version
Mesarić, Jasna; Šimić, Diana; Katić, Milica; Deilkås, Ellen C Tveter; Hofoss, Dag; Bondevik, Gunnar Tschudi (Peer reviewed; Journal article, 2020)Abstract The aim of the study was to assess the reliability and construct validity of the Croatian trans- lation of the Safety Attitudes Questionnaire—Ambulatory version (SAQ-AV) in the out-of- hours (OOH) primary care ... -
The safety attitudes questionnaire – ambulatory version: psychometric properties of the Norwegian version for nursing homes
Bondevik, Gunnar Tschudi; Hofoss, Dag; Husebø, Bettina; Deilkås, Ellen C Tveter (Journal article; Peer reviewed, 2019)Background Patient safety culture is how leader and staff interaction, attitudes, routines and practices protect patients from adverse events in healthcare. The Safety Attitudes Questionnaire is the most widely used ... -
Variation in staff perceptions of patient safety climate across work sites in Norwegian general practitioner practices and out-of-hour clinics
Deilkås, Ellen C Tveter; Hofoss, Dag; Hansen, Elisabeth Holm; Bondevik, Gunnar Tschudi (Peer reviewed; Journal article, 2019)Introduction Measuring staff perceptions with safety climate surveys is a promising approach to addressing patient safety. Variation in safety climate scores between work sites may predict variability in risk related to ...