TY - JOUR
T1 - Medication review software to improve the accuracy of outpatient medication histories
T2 - Protocol for a randomized controlled trial
AU - Lesselroth, Blake J.
AU - Dorr, David A.
AU - Adams, Kathleen
AU - Church, Victoria
AU - Adams, Shawn
AU - Mazur, Dennis
AU - Russ, Yelizaveta
AU - Felder, Robert
AU - Douglas, David M.
PY - 2012/1
Y1 - 2012/1
N2 - Medication-prescribing errors generated at interfaces-in-care are the most common cause of preventable health care errors and contribute substantially to adverse patient outcomes. For this reason, standardized medication reconciliation (MR) processes need to be inserted at these interfaces. However, MR is an inherently complex task, and little data exist to inform system-based operationalization. The Portland Informatics Center addressed this challenge by creating an electronic patient-directed multimedia survey to automate the medication history collection. This article describes a research protocol designed to compare the software's medication discrepancy detection rate with traditional history collection strategies. For this randomized, controlled, single-blind trial, participants are randomly allocated into one of two groups: the control group reviews a paper list printed from the electronic record, whereas the intervention group uses a computer-assisted reconciliation survey that includes display of visual data (i.e., medication pictures).
AB - Medication-prescribing errors generated at interfaces-in-care are the most common cause of preventable health care errors and contribute substantially to adverse patient outcomes. For this reason, standardized medication reconciliation (MR) processes need to be inserted at these interfaces. However, MR is an inherently complex task, and little data exist to inform system-based operationalization. The Portland Informatics Center addressed this challenge by creating an electronic patient-directed multimedia survey to automate the medication history collection. This article describes a research protocol designed to compare the software's medication discrepancy detection rate with traditional history collection strategies. For this randomized, controlled, single-blind trial, participants are randomly allocated into one of two groups: the control group reviews a paper list printed from the electronic record, whereas the intervention group uses a computer-assisted reconciliation survey that includes display of visual data (i.e., medication pictures).
KW - Biomedical; Adverse drug events
KW - Consumer health information
KW - Medical records systems, Computerized
KW - Medication errors
KW - Medication reconciliation
KW - Technology assessment
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U2 - 10.1002/hfm.20287
DO - 10.1002/hfm.20287
M3 - Article
AN - SCOPUS:84355162944
SN - 1090-8471
VL - 22
SP - 72
EP - 86
JO - Human Factors and Ergonomics In Manufacturing
JF - Human Factors and Ergonomics In Manufacturing
IS - 1
ER -