Academic Journal
Patients’ and Clinicians’ Perceptions of the Clinical Utility of Predictive Risk Models for Chemotherapy-Related Symptom Management: Qualitative Exploration Using Focus Groups and Interviews
| Title: | Patients’ and Clinicians’ Perceptions of the Clinical Utility of Predictive Risk Models for Chemotherapy-Related Symptom Management: Qualitative Exploration Using Focus Groups and Interviews |
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| Authors: | Morven Miller, Lisa McCann, Liane Lewis, Christine Miaskowski, Emma Ream, Andrew Darley, Jenny Harris, Grigorios Kotronoulas, Geir V Berg, Simone Lubowitzki, Jo Armes, Elizabeth Patiraki, Eileen Furlong, Patricia Fox, Alexander Gaiger, Antonella Cardone, Dawn Orr, Adrian Flowerday, Stylianos Katsaragakis, Simon Skene, Margaret Moore, Paul McCrone, Nicosha De Souza, Peter T Donnan, Roma Maguire |
| Source: | Journal of Medical Internet Research, Vol 26, p e49309 (2024) |
| Publisher Information: | JMIR Publications, 2024. |
| Publication Year: | 2024 |
| Collection: | LCC:Computer applications to medicine. Medical informatics LCC:Public aspects of medicine |
| Subject Terms: | Computer applications to medicine. Medical informatics, R858-859.7, Public aspects of medicine, RA1-1270 |
| More Details: | BackgroundInterest in the application of predictive risk models (PRMs) in health care to identify people most likely to experience disease and treatment-related complications is increasing. In cancer care, these techniques are focused primarily on the prediction of survival or life-threatening toxicities (eg, febrile neutropenia). Fewer studies focus on the use of PRMs for symptoms or supportive care needs. The application of PRMs to chemotherapy-related symptoms (CRS) would enable earlier identification and initiation of prompt, personalized, and tailored interventions. While some PRMs exist for CRS, few were translated into clinical practice, and human factors associated with their use were not reported. ObjectiveWe aim to explore patients’ and clinicians’ perspectives of the utility and real-world application of PRMs to improve the management of CRS. MethodsFocus groups (N=10) and interviews (N=5) were conducted with patients (N=28) and clinicians (N=26) across 5 European countries. Interactions were audio-recorded, transcribed verbatim, and analyzed thematically. ResultsBoth clinicians and patients recognized the value of having individualized risk predictions for CRS and appreciated how this type of information would facilitate the provision of tailored preventative treatments or supportive care interactions. However, cautious and skeptical attitudes toward the use of PRMs in clinical care were noted by both groups, particularly in relationship to the uncertainty regarding how the information would be generated. Visualization and presentation of PRM information in a usable and useful format for both patients and clinicians was identified as a challenge to their successful implementation in clinical care. ConclusionsFindings from this study provide information on clinicians’ and patients’ perspectives on the clinical use of PRMs for the management of CRS. These international perspectives are important because they provide insight into the risks and benefits of using PRMs to evaluate CRS. In addition, they highlight the need to find ways to more effectively present and use this information in clinical practice. Further research that explores the best ways to incorporate this type of information while maintaining the human side of care is warranted. Trial RegistrationClinicalTrials.gov NCT02356081; https://clinicaltrials.gov/study/NCT02356081 |
| Document Type: | article |
| File Description: | electronic resource |
| Language: | English |
| ISSN: | 1438-8871 |
| Relation: | https://www.jmir.org/2024/1/e49309; https://doaj.org/toc/1438-8871 |
| DOI: | 10.2196/49309 |
| Access URL: | https://doaj.org/article/ce2259cbe6d34f888764295adf13d6b4 |
| Accession Number: | edsdoj.2259cbe6d34f888764295adf13d6b4 |
| Database: | Directory of Open Access Journals |
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| ISSN: | 14388871 |
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| DOI: | 10.2196/49309 |
| Published in: | Journal of Medical Internet Research |
| Language: | English |