{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,3]],"date-time":"2026-05-03T23:48:23Z","timestamp":1777852103430,"version":"3.51.4"},"reference-count":24,"publisher":"SAGE Publications","issue":"1","license":[{"start":{"date-parts":[[2019,4,11]],"date-time":"2019-04-11T00:00:00Z","timestamp":1554940800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/journals.sagepub.com\/page\/policies\/text-and-data-mining-license"}],"funder":[{"name":"National Health and Medical Research Council Program","award":["1054146"],"award-info":[{"award-number":["1054146"]}]}],"content-domain":{"domain":["journals.sagepub.com"],"crossmark-restriction":true},"short-container-title":["Health Informatics J"],"published-print":{"date-parts":[[2020,3]]},"abstract":"<jats:p>This study aimed to assess drug\u2013drug interaction alert interfaces and to examine the relationship between compliance with human factors principles and user-preferences of alerts. Three reviewers independently evaluated drug\u2013drug interaction alert interfaces in seven electronic systems using the Instrument-for-Evaluating-Human-Factors-Principles-in-Medication-Related-Decision-Support-Alerts (I-MeDeSA). Fifty-three doctors and pharmacists completed a survey to rate the alert interfaces from best to worst and reported on liked and disliked features. Human factors compliance and user-preferences of alerts were compared. Statistical analysis revealed no significant association between I-MeDeSA scores and user-preferences. However, the strengths and weaknesses of drug\u2013drug interaction alerts from users\u2019 perspectives were in-line with the human factors constructs evaluated by the I-MeDeSA. I-MeDeSA in its current form, is unable to identify alerts that are preferred by the users. The design principles assessed by I-MeDeSA appear to be sound, but its arbitrary allocation of points to each human factors construct may not reflect the relative importance that the end-users place on different aspects of alert design.<\/jats:p>","DOI":"10.1177\/1460458219840210","type":"journal-article","created":{"date-parts":[[2019,4,11]],"date-time":"2019-04-11T11:17:40Z","timestamp":1554981460000},"page":"563-575","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":8,"title":["Do user preferences align with human factors assessment scores of drug\u2013drug interaction alerts?"],"prefix":"10.1177","volume":"26","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-6770-5799","authenticated-orcid":false,"given":"David","family":"Lowenstein","sequence":"first","affiliation":[{"name":"UNSW Sydney, Australia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Wu Yi","family":"Zheng","sequence":"additional","affiliation":[{"name":"Macquarie University, Australia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Rosemary","family":"Burke","sequence":"additional","affiliation":[{"name":"Concord Repatriation General Hospital, Australia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Eliza","family":"Kenny","sequence":"additional","affiliation":[{"name":"Macquarie University Hospital, Australia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Anmol","family":"Sandhu","sequence":"additional","affiliation":[{"name":"St Vincent\u2019s Hospital, Sydney, Australia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Meredith","family":"Makeham","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Johanna","family":"Westbrook","sequence":"additional","affiliation":[{"name":"Macquarie University, Australia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Richard O","family":"Day","sequence":"additional","affiliation":[{"name":"UNSW Sydney, Australia; 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