<HashMap><database>biostudies-literature</database><scores/><additional><omics_type>Unknown</omics_type><submitter>Halliday K</submitter><funding>Research Nova Scotia</funding><funding>Mitacs</funding><pubmed_abstract>&lt;h4>Background&lt;/h4>Chronic kidney disease (CKD) affects 1 in 10 Canadians. Medications cleared by the kidneys can be harmful if dosed improperly. Community pharmacists are well-positioned to optimize prescribing, but inconsistencies between medication resources can complicate dosing. This study developed and validated higher-risk medication toolkits, including decision support algorithms for community pharmacists managing people with CKD.&lt;h4>Methods&lt;/h4>Fifty-one toolkits and algorithms were developed by team experts using Lynn's method (domain identification, item generation per domain, and instrument formation). Team experts followed by community pharmacists rated toolkit content and algorithm face validity using a 2-part questionnaire with Likert scales. Each toolkit was validated by 5 </pubmed_abstract><journal>Canadian pharmacists journal : CPJ = Revue des pharmaciens du Canada : RPC</journal><pagination>17151635251357969</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC12373659</full_dataset_link><repository>biostudies-literature</repository><pubmed_title>Improving medication safety and prescribing of higher-risk medications in individuals with chronic kidney disease: A validation study.</pubmed_title><pmcid>PMC12373659</pmcid><pubmed_authors>Tennankore K</pubmed_authors><pubmed_authors>Poyah P</pubmed_authors><pubmed_authors>Rainkie D</pubmed_authors><pubmed_authors>Halliday K</pubmed_authors><pubmed_authors>Soroka S</pubmed_authors><pubmed_authors>Naylor H</pubmed_authors><pubmed_authors>Sheffield M</pubmed_authors><pubmed_authors>Rodrigues G</pubmed_authors><pubmed_authors>Ratajczak N</pubmed_authors><pubmed_authors>Kendell C</pubmed_authors><pubmed_authors>Pelletier J</pubmed_authors><pubmed_authors>Sarty R</pubmed_authors><pubmed_authors>Backman D</pubmed_authors><pubmed_authors>Wilson JA</pubmed_authors><pubmed_authors>More K</pubmed_authors><pubmed_authors>Bishop A</pubmed_authors><pubmed_authors>MacInnis K</pubmed_authors><pubmed_authors>Singh S</pubmed_authors><pubmed_authors>Battistella M</pubmed_authors><pubmed_authors>Tran J</pubmed_authors><pubmed_authors>Woodill L</pubmed_authors><pubmed_authors>Kennie-Kaulbach N</pubmed_authors></additional><is_claimable>false</is_claimable><name>Improving medication safety and prescribing of higher-risk medications in individuals with chronic kidney disease: A validation study.</name><description>&lt;h4>Background&lt;/h4>Chronic kidney disease (CKD) affects 1 in 10 Canadians. Medications cleared by the kidneys can be harmful if dosed improperly. Community pharmacists are well-positioned to optimize prescribing, but inconsistencies between medication resources can complicate dosing. This study developed and validated higher-risk medication toolkits, including decision support algorithms for community pharmacists managing people with CKD.&lt;h4>Methods&lt;/h4>Fifty-one toolkits and algorithms were developed by team experts using Lynn's method (domain identification, item generation per domain, and instrument formation). Team experts followed by community pharmacists rated toolkit content and algorithm face validity using a 2-part questionnaire with Likert scales. Each toolkit was validated by 5 </description><dates><release>2025-01-01T00:00:00Z</release><publication>2025 Aug</publication><modification>2026-06-03T12:06:33.947Z</modification><creation>2026-04-27T03:11:29.231Z</creation></dates><accession>S-EPMC12373659</accession><cross_references><pubmed>40881661</pubmed><doi>10.1177/17151635251357969</doi></cross_references></HashMap>