Optimising medication data collection in a large-scale clinical trial

© 2019 Lockery et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Objective: Pharmaceuticals play an important role in clinical care. However, in community-based research, medication data are commonly collected as unstructured free-text, which is prohibitively expensive to code for large-scale studies. The ASPirin in Reducing Events in the Elderly (ASPREE) study developed a two-pronged framework to collect structured medication data for 19,114 individuals. ASPREE provides an opportunity to determine whether medication data can be cost-effectively collected and coded, en masse from the community using this framework. Methods: The ASPREE framework of type-to-search box with automated coding and linked free text entry was compared to traditional method of free-text only collection and post hoc coding. Reported medications were classified according to their method of collection and analysed by Anatomical Therapeutic Chemical (ATC) group. Relative cost of collecting medications was determined by calculating the time required for database set up and medication coding. Results Overall, 122,910 participant structured medication reports were entered using the type-tosearch box and 5,983 were entered as free-text. Free-text data contributed 211 unique medications not present in the type-to-search box. Spelling errors and unnecessary provision of additional information were among the top reasons why medications were reported as freetext. The cost per medication using the ASPREE method was approximately USD $0.03 compared with USD$0.20 per medication for the traditional method. Conclusion Implementation of this two-pronged framework is a cost-effective alternative to free-text only data collection in community-based research. Higher initial set-up costs of this combined method are justified by long term cost effectiveness and the scientific potential for analysis and discovery gained through collection of detailed, structured medication data

Pharmacists and medication reconciliation: a review of recent literature

Eesha Patel,1 Joshua M Pevnick,2,3 Korey A Kennelty11Department of Pharmacy and Practice, Division of Health Services Research, University of Iowa, Iowa City, IA, USA; 2Department of Medicine, Division of General Internal Medicine, Cedars-Sinai Medical Center, Los Angeles, CA, USA; 3Department of Biomedical Sciences, Division of Informatics, Cedars-Sinai Medical Center, Los Angeles, CA, USABackground: Adverse drug event (ADE) errors are common and costly in health care systems across the world. Medication reconciliation is a means to decrease these medication-related injuries and increase quality of care. Research has shown that medication reconciliation accuracy and efficiency improved when pharmacists are directly involved in the process.Objective: We review studies examining how pharmacists impact the medication reconciliation process and we discuss pharmacists’ future roles during the medication reconciliation process and then barriers pharmacy staff may face during this critical process.Methods: A comprehensive literature search from MEDLINE and manual searching of bibliographies was performed for the time period January 2012 through November 2018.Conclusion: Although the issue of rising costs and injury due to medication errors in our health care system are not solvable via medication reconciliation alone, it is the first and perhaps most critical piece of the medication management puzzle. As such, numerous organizations have called for pharmacists to expand their roles in the medication reconciliation process due to their expertise in medication management.Keywords: medication reconciliation, pharmacists, adverse drug event