{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,13]],"date-time":"2026-01-13T23:38:41Z","timestamp":1768347521280,"version":"3.49.0"},"reference-count":34,"publisher":"SAGE Publications","issue":"4","license":[{"start":{"date-parts":[[2019,3,18]],"date-time":"2019-03-18T00:00:00Z","timestamp":1552867200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/journals.sagepub.com\/page\/policies\/text-and-data-mining-license"}],"funder":[{"DOI":"10.13039\/501100000272","name":"national institute for health research","doi-asserted-by":"publisher","award":["PSTRC"],"award-info":[{"award-number":["PSTRC"]}],"id":[{"id":"10.13039\/501100000272","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["journals.sagepub.com"],"crossmark-restriction":true},"short-container-title":["Health Informatics J"],"published-print":{"date-parts":[[2020,12]]},"abstract":"<jats:p> Most studies evaluating the impact of electronic prescribing on prescribing safety have used comparatively weak study designs such as uncontrolled before-and-after studies. This study aimed to apply a more robust naturalistic stepped wedge study design to compare the prevalence and types of prescribing errors for electronic prescribing and paper prescribing. Data were collected weekly during a phased electronic prescribing implementation across 20 wards in a large English hospital. We identified 511 (7.8%) erroneous orders in 6523 paper medication orders, and 312 (6.0%) in 5237 electronic prescribing orders. Logistic regression suggested no statistically significant effect of electronic prescribing use or of study week; patient and ward had significant effects. Errors involving incorrect doses and illegible or incomplete orders were less common with electronic prescribing; those involving duplication, omission, incorrect drug and incorrect formulation were more common. Actions are needed to mitigate these error types; future studies should give more consideration to the effects of patient and ward. <\/jats:p>","DOI":"10.1177\/1460458219833112","type":"journal-article","created":{"date-parts":[[2019,3,18]],"date-time":"2019-03-18T11:38:36Z","timestamp":1552909116000},"page":"3152-3162","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":10,"title":["What is the impact of introducing inpatient electronic prescribing on prescribing errors? A naturalistic stepped wedge study in an English teaching hospital"],"prefix":"10.1177","volume":"26","author":[{"given":"Bryony Dean","family":"Franklin","sequence":"first","affiliation":[{"name":"Imperial College Healthcare NHS Trust\/UCL School of Pharmacy, UK"}]},{"given":"Seetal","family":"Puaar","sequence":"additional","affiliation":[{"name":"Imperial College Healthcare NHS Trust\/UCL School of Pharmacy, UK"}]}],"member":"179","published-online":{"date-parts":[[2019,3,18]]},"reference":[{"key":"bibr1-1460458219833112","unstructured":"World Health Organization. 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