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Assessment of Drug-Induced QTc Prolongation in Mental Health Practice: Validation of an Evidence-Based Algorithm

journal contribution
submitted on 2023-12-12, 05:29 and posted on 2023-12-12, 07:24 authored by Monica Zolezzi, Athar Elhakim, Iman Qubaiah, Doaa Mahmoud, Shorouq Homs, Waad Elamin, Engy Tawfik, Oraib Abdallah, Yassin Eltorki, Noriya Al-Khuzaei

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.

Other Information

Published in: Risk Management and Healthcare Policy
License: https://creativecommons.org/licenses/by/4.0/
See article on publisher's website: https://dx.doi.org/10.2147/rmhp.s426591

History

Language

  • English

Publisher

Dove Medical Press

Publication Year

  • 2023

License statement

This Item is licensed under the Creative Commons Attribution 4.0 International License.

Institution affiliated with

  • Qatar University
  • Qatar University Health - QU
  • College of Pharmacy - QU HEALTH
  • University of Doha for Science and Technology
  • College of Health Sciences - UDST
  • Hamad Medical Corporation
  • Mental Health Service - HMC