Publications by authors named "Harkaryn Bagri"

Background: Drug-drug interactions are preventable medication errors that can lead to serious negative outcomes for patients. Community pharmacists are uniquely positioned with their medication knowledge and role in prescription clinical assessment. However, workplace pressures and limitations related to computer systems can lead to drug-drug interactions being missed.

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Article Synopsis
  • - The study focused on enhancing clinical decision support systems (CDSS) by creating a new tool, TLC-Act, to help pharmacists manage drug-drug interactions (DDIs) based on their clinical reasoning rather than relying solely on existing systems.
  • - The research involved developing the tool, implementing it in practice, and gathering feedback from pharmacy residents through an online survey, with validation conducted via simulations prior to implementation.
  • - Results showed that 73% of the pharmacy residents who responded to the survey found TLC-Act to be more useful than traditional CDSS for assessing DDIs, highlighting its alignment with how pharmacists think clinically.
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Background: Drug-drug interactions (DDIs) can cause adverse drug events, leading to hospitalizations and an increase in the risk of morbidity and mortality. Until now, patients' perceptions of DDIs have represented an understudied area of research.

Objectives: To explore patients' perceptions of DDIs and identify factors important to patients' understanding of their medications.

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Background: Drug-drug interactions (DDIs) may cause adverse drug events, potentially leading to hospital admission. Clinical decision support systems (CDSSs) can improve decision-making by clinicians as well as drug safety. However, previous research has suggested that pharmacists are concerned about discrepancies between CDSSs and common clinical practice in terms of severity ratings and recommended actions for DDIs.

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Background: Pharmacists often overlook drug interaction alerts because of limitations in clinical decision support (CDS) software systems intended to detect evidence-based, clinically significant drug-drug interactions (DDIs). Alert fatigue, which occurs when pharmacists become desensitized to an overload of DDIs, may also contribute.

Objectives: To gain a better understanding of how pharmacists assess common DDIs and the extent to which computerized drug alerts affect their decision-making, as background for initiatives to overcome alert fatigue and improve detection of DDIs.

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