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Development of evidence-based indicators for the detection of drug-related problems among ovarian cancer patients

Background: Antineoplastic drugs produce serious drug-related problems and their management is challenging. DRPs are critical, for saving on therapeutic costs, particularly in resource poor settings within low-middle-income countries such as India. Indicators are clues that helps to detect DRPs with...

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Autores principales: Rawal, Kala Bahadur, Mateti, Uday Venkat, Shetty, Vijith, Shastry, Chakrakodi Shashidhara, Unnikrishnan, Mazhuvancherry Kesavan, Shetty, Shraddha, Rajesh, Aparna
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10348894/
https://www.ncbi.nlm.nih.gov/pubmed/37456735
http://dx.doi.org/10.3389/fphar.2023.1203648
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author Rawal, Kala Bahadur
Mateti, Uday Venkat
Shetty, Vijith
Shastry, Chakrakodi Shashidhara
Unnikrishnan, Mazhuvancherry Kesavan
Shetty, Shraddha
Rajesh, Aparna
author_facet Rawal, Kala Bahadur
Mateti, Uday Venkat
Shetty, Vijith
Shastry, Chakrakodi Shashidhara
Unnikrishnan, Mazhuvancherry Kesavan
Shetty, Shraddha
Rajesh, Aparna
author_sort Rawal, Kala Bahadur
collection PubMed
description Background: Antineoplastic drugs produce serious drug-related problems and their management is challenging. DRPs are critical, for saving on therapeutic costs, particularly in resource poor settings within low-middle-income countries such as India. Indicators are clues that helps to detect DRPs within the healthcare organization and minimize overall harm from medications. Indicators enable healthcare professionals to determine the future therapeutic course. And enable healthcare professionals to take a proactive stand, and stay informed and empowered to both prevent and manage DRPs. This study aims to develop evidence-based indicators for detecting potential drug-related problems in ovarian cancer patients. Patients and Methods: A retrospective study was conducted in the Department of Oncology of a tertiary care teaching hospital in South India. Based on literature search, we developed a list of indicators, which were validated by a Delphi panel of multidisciplinary healthcare professionals (16 members). Based on 2 years of ovarian cancer data, we performed a feasibility test retrospectively and classified the DRPs according to the Pharmaceutical Care Network Europe classification of DRPs version-9.1. Results: The feasibility test identified 130 out of 200 indicators. A total of 803 pDRPs were identified under four main categories: drug selection problem, drug use problem, adverse drug reaction and drug-drug interaction The most frequently observed were ADR 381 (47.45%), DDIs 354 (44.08%), and drug selection problems 62 (7.72%). Conclusion: Indicators developed by us effectively identified pDRPs in ovarian cancer patients, which can potentially help healthcare professionals in the early detection, timely management, and attenuating severity of DRPs. Identifying the pDDIs can potentially improve interdisciplinary involvement and task sharing, including enhanced pharmacists’ participation within the healthcare team.
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spelling pubmed-103488942023-07-16 Development of evidence-based indicators for the detection of drug-related problems among ovarian cancer patients Rawal, Kala Bahadur Mateti, Uday Venkat Shetty, Vijith Shastry, Chakrakodi Shashidhara Unnikrishnan, Mazhuvancherry Kesavan Shetty, Shraddha Rajesh, Aparna Front Pharmacol Pharmacology Background: Antineoplastic drugs produce serious drug-related problems and their management is challenging. DRPs are critical, for saving on therapeutic costs, particularly in resource poor settings within low-middle-income countries such as India. Indicators are clues that helps to detect DRPs within the healthcare organization and minimize overall harm from medications. Indicators enable healthcare professionals to determine the future therapeutic course. And enable healthcare professionals to take a proactive stand, and stay informed and empowered to both prevent and manage DRPs. This study aims to develop evidence-based indicators for detecting potential drug-related problems in ovarian cancer patients. Patients and Methods: A retrospective study was conducted in the Department of Oncology of a tertiary care teaching hospital in South India. Based on literature search, we developed a list of indicators, which were validated by a Delphi panel of multidisciplinary healthcare professionals (16 members). Based on 2 years of ovarian cancer data, we performed a feasibility test retrospectively and classified the DRPs according to the Pharmaceutical Care Network Europe classification of DRPs version-9.1. Results: The feasibility test identified 130 out of 200 indicators. A total of 803 pDRPs were identified under four main categories: drug selection problem, drug use problem, adverse drug reaction and drug-drug interaction The most frequently observed were ADR 381 (47.45%), DDIs 354 (44.08%), and drug selection problems 62 (7.72%). Conclusion: Indicators developed by us effectively identified pDRPs in ovarian cancer patients, which can potentially help healthcare professionals in the early detection, timely management, and attenuating severity of DRPs. Identifying the pDDIs can potentially improve interdisciplinary involvement and task sharing, including enhanced pharmacists’ participation within the healthcare team. Frontiers Media S.A. 2023-06-30 /pmc/articles/PMC10348894/ /pubmed/37456735 http://dx.doi.org/10.3389/fphar.2023.1203648 Text en Copyright © 2023 Rawal, Mateti, Shetty, Shastry, Unnikrishnan, Shetty and Rajesh. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Pharmacology
Rawal, Kala Bahadur
Mateti, Uday Venkat
Shetty, Vijith
Shastry, Chakrakodi Shashidhara
Unnikrishnan, Mazhuvancherry Kesavan
Shetty, Shraddha
Rajesh, Aparna
Development of evidence-based indicators for the detection of drug-related problems among ovarian cancer patients
title Development of evidence-based indicators for the detection of drug-related problems among ovarian cancer patients
title_full Development of evidence-based indicators for the detection of drug-related problems among ovarian cancer patients
title_fullStr Development of evidence-based indicators for the detection of drug-related problems among ovarian cancer patients
title_full_unstemmed Development of evidence-based indicators for the detection of drug-related problems among ovarian cancer patients
title_short Development of evidence-based indicators for the detection of drug-related problems among ovarian cancer patients
title_sort development of evidence-based indicators for the detection of drug-related problems among ovarian cancer patients
topic Pharmacology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10348894/
https://www.ncbi.nlm.nih.gov/pubmed/37456735
http://dx.doi.org/10.3389/fphar.2023.1203648
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