Pieter Van Bostraeten, Bert Aertgeerts, Geertruida Bekkering, Nicolas Delvaux, Anna Haers, Matisse Vanheeswyck, Alexander Vandekendelaere, Niels Van der Auwera, Charlotte Dijckmans, Elise Ostyn, Willem Soontjens, Wout Matthysen, Noémie Schenk, Lien Mertens, Jasmien Jaeken, Thomas Agoritsas, Mieke Vermandere
Digital encounter decision aids linked to clinical practice guidelines: results from user testing SHARE-IT decision aids in primary care
BMC medical informatics and decision making
majority existing patient safety culture tools designed healthcare workers despite claims patient safety tools patientcentered limited attention given patients perspectives cultural considerations development local studies available extant literature capture patient perspectives safe hospitalization goal study develop provide preliminary psychometric analysis tool measures patients perception safety culture hospital setting study quantitative methodological study instrument developed three phases conceptualization item generation literature review clinical observation focus group discussion two rounds expert panel review pilot testing tool tested 122 eligible patients admitted tertiary hospital factor analysis items done determine underlying factor item cronbachs alpha used test degree internal consistency scale patient perceptions safety culture hospital setting scale consists 25 items analysis yielded four factors explaining total 6923 variance data items grouped four dimensions hospital workforce 4 items hospital environment 5 items heath management care delivery 7 items information exchange 9 items factor registered cronbachs alpha 081 078 091 094 respectively overall cronbachs alpha scale 095 study offers preliminary evidence psychometric properties newly developed tool measures patient perceptions hospital safety culture subsequent studies larger samples need conducted determine reliability validity tool applied different population contexts well determining valid cutoff points scoring interpretation