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Assessment of Drug-Induced QTc Prolongation in Mental Health Practice: Validation of an Evidence-Based Algorithm
Monica Zolezzi1, Athar Elhakim2, Iman A Qubaiah1
1College of Pharmacy, QU Health, Qatar University, Doha, Qatar.
Insights
Mental health practitioners found a new algorithm for drug-induced QTc interval prolongation (QTcIP) to be safe and appropriate. This validated QTcIP algorithm can aid clinicians in managing medication risks.
Area of Science:
- Pharmacology
- Clinical Psychology
- Cardiology
Background:
- Drug-induced QTc interval prolongation (QTcIP) poses risks and challenges for mental health practitioners due to consultation delays.
- Access to cardiology expertise for QTcIP is often time-limited, impacting treatment decisions.
Purpose of the Study:
- To validate the content of an algorithm designed for assessing, managing, and monitoring drug-induced QTcIP in mental health settings.
- To ensure the algorithm is appropriate, safe, and evidence-based for clinical use.
Main Methods:
- Content validity was initially assessed by experts.
- A cross-sectional survey evaluated mental health practitioners' views on the QTcIP algorithm (QTcIPA) using a Likert scale.
- Content Validity Index (CVI) and modified kappa statistic (κ*) were calculated, alongside thematic analysis of open-ended comments.
Main Results:
- Mental health practitioners rated the QTcIPA highly for appropriateness, safety, and evidence-based reliability (CVI scores 0.89–1).
- Qualitative analysis revealed strengths in practical usability, reliable references, and benefits for pharmacists.
- Identified limitations included a need for more clinical content and potential application barriers.
Conclusions:
- The QTcIP algorithm (QTcIPA) shows potential as a valuable tool for mental health clinicians prescribing medications with QTcIP risks.
- Future research will focus on implementing the QTcIPA into clinical practice via computerized decision support tools.
Background:
Drug-induced QTc interval prolongation (QTcIP) can lead to serious consequences and is often a concern for mental health practitioners, as access to experts such as cardiologists, for consultation is time-limiting and can delay treatment decisions. This research aimed at validating the content of an algorithm for the assessment, management and monitoring of drug-induced QTcIP in mental health practice.
Methods:
Following an initial face validity by content experts, a cross-sectional survey of mental health care practitioners with a 4-point Likert-type scale was used to assess the validity of the decision steps on the QTcIP algorithm (QTcIPA) by estimating the content validity index (CVI) and the modified kappa statistic (κ*). Participants' open-ended comments were also thematically analyzed.
Results:
Mental health practitioners found the QTcIPA to be appropriate, safe, and evidence-based, as indicated by the high individual item CVI scores ranging from 0.89 to 1 for all of the steps/decision statements in the three domains assessed: appropriateness, safety and reliability of the references used. Five themes emerged from the qualitative analysis of the open-ended comments, of which three were identified as strengths, including practical usability, reliable references and beneficial for pharmacists. Two themes were recognized as limitations, namely, the need for additional clinical content and application barriers.
Conclusion:
These results suggest that the QTcIPA may be a useful tool for mental health clinicians at the time of prescribing medications with potential risk of QTcIP. Future research will explore the implementation of the QTcIPA into clinical practice using computerized decision support tools through web-based and mobile applications.
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