Consensus on the criteria for patient prioritization in hospital clinical pharmacy services: a Delphi study.

BACKGROUND: Hospital pharmacists cannot provide extensive clinical pharmacy service to every inpatient because the demand for these services can exceed pharmacists' available work time. A way to solve this issue is hospital pharmacists to prioritize their clinical tasks. Tool prioritization could determine which patients would benefit from clinical pharmacists' input. AIM: Establishing consensus on which criteria are relevant for prioritizing patients for clinical pharmacy services. METHOD: The Delphi method was performed with criteria identified from a previously published Scoping Review. The panel of experts included hospital pharmacists, who evaluated the clinical significance of criteria in a three-round Delphi panel from July to December 2020. They determined the need for sub-criteria and evaluated their clinical significance. The experts also analyzed the criteria/sub-criteria as to their applicability in clinical practice. Consensus criteria were defined as 70% or more participants scoring the criteria as critical and 15% or fewer scoring the criteria as unimportant. RESULTS: A total of 19 criteria and 230 sub-criteria were included for evaluation by panel experts based on scoping review. Twenty-nine, 22, and 17 experts participated per round, respectively. After completing the three rounds, experts suggested the inclusion of one criterion, the exclusion of one criterion, and the inclusion of 29 sub-criteria. The final list consisted of 18 criteria and 177 sub-criteria, divided into 28 groups. CONCLUSION: The result was comprehensive and coherent, potentially contributing to developing an instrument for prioritizing hospitalized patients for clinical pharmacy services.

Prognostic prediction models and clinical tools based on consensus to support patient prioritization for clinical pharmacy services in hospitals: A scoping review.

BACKGROUND: Identifying patients at high risk of adverse medication-related outcomes for targeted clinical pharmacy services is essential in hospital pharmacy. Models and predictive tools to prioritize patients are available to the clinical pharmacy services for hospital use. OBJECTIVE: To describe and assess prognostic models and predictive tools used to identify inpatients at risk of adverse medication-related outcomes. METHODS: We searched in Medline, Lilacs, Cochrane, CINAHL, Embase, Scopus and Web of Science, databases of theses and dissertations, and the references of the selected studies. The screening was carried out by two independent researchers. Cross-sectional studies, prospective or retrospective cohort studies, and case-control studies were eligible for inclusion. The studies addressed the development or validation of predictive models and clinical prioritization tools based on expert opinion to identify inpatients at risk of adverse medication-related outcomes. RESULTS: 25 studies were included, 13 of which were prognostic prediction models, seven were instrument development using the consensus method, and five were validation. The outcome events were drug-related problems (9), adverse drug reactions (8), adverse drug events (6), and medication errors (2). Most studies targeted adult patients (14), eight had older adult patients, one had obstetric patients, and others had pediatric patients. External validation was performed after the development study in three studies. The predictive model with a low risk of bias was the Medicines Optimisation Assessment Tool. Limited details on the method of expert involvement and the number of experts were identified in four studies. CONCLUSION: The development of patient prioritization tools to optimize pharmacotherapy by clinical pharmacy services is a complex process. The predictive models and tools analyzed are limited in their development and validation process, hindering their effective use in prioritizing patients by the clinical pharmacy services. The development of additional prognostic prediction models for drug-related problems is a priority.