Academic Journal
Dataset on cost-analysis of medication deprescribing scenarios for older adult coverage under public drug benefit programs in Canada
| Title: | Dataset on cost-analysis of medication deprescribing scenarios for older adult coverage under public drug benefit programs in Canada |
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| Authors: | Sarah Abu Fadaleh, Jody Shkrobot, Tatiana Makhinova, Dean Eurich, Cheryl A. Sadowski |
| Source: | Data in Brief, Vol 31, Iss , Pp 105842- (2020) |
| Publisher Information: | Elsevier, 2020. |
| Publication Year: | 2020 |
| Collection: | LCC:Computer applications to medicine. Medical informatics LCC:Science (General) |
| Subject Terms: | Deprescriptions, Inappropriate prescribing, Costs and cost analysis, Drug costs, Pharmacy fee, Pharmacy economics, Computer applications to medicine. Medical informatics, R858-859.7, Science (General), Q1-390 |
| More Details: | The dataset covers the equations and procedure used for the estimation of an older adult's total annual medication costs, across Canadian provinces and territories; detailed to report pharmacy margin, government share, and patient share. We presented a case of an older adult using 10 different medications commonly used, according to Canadian Institute for Health Information. Eight different deprescribing scenarios were created, based on recommendations from Beers Criteria and the Canadian Deprescribing Network, for the purpose of comparing the cost difference before and after each intervention on pharmacies, patients, and governments. Scenarios included: (1) Stopping an over the counter medication; (2) Discontinuation of a medication; (3) Slow taper of a potentially inappropriate medication; (4) Rapid taper of a potentially inappropriate medication; (5) Switching to safer medication; (6) Dose reduction; (7) Switching to a lower cost medication; (8) Changing from combination to a single medication. The data presented are related to the article entitled “Financial advantage or barrier when deprescribing for seniors: A case based analysis” [1] |
| Document Type: | article |
| File Description: | electronic resource |
| Language: | English |
| ISSN: | 2352-3409 |
| Relation: | http://www.sciencedirect.com/science/article/pii/S2352340920307368; https://doaj.org/toc/2352-3409 |
| DOI: | 10.1016/j.dib.2020.105842 |
| Access URL: | https://doaj.org/article/57c1aed156c840939c6c3bd62484e8e0 |
| Accession Number: | edsdoj.57c1aed156c840939c6c3bd62484e8e0 |
| Database: | Directory of Open Access Journals |
| ISSN: | 23523409 |
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| DOI: | 10.1016/j.dib.2020.105842 |
| Published in: | Data in Brief |
| Language: | English |