Your browser doesn't support javascript.
loading
Patients' and Clinicians' Perceptions of the Clinical Utility of Predictive Risk Models for Chemotherapy-Related Symptom Management: Qualitative Exploration Using Focus Groups and Interviews.
Miller, Morven; McCann, Lisa; Lewis, Liane; Miaskowski, Christine; Ream, Emma; Darley, Andrew; Harris, Jenny; Kotronoulas, Grigorios; V Berg, Geir; Lubowitzki, Simone; Armes, Jo; Patiraki, Elizabeth; Furlong, Eileen; Fox, Patricia; Gaiger, Alexander; Cardone, Antonella; Orr, Dawn; Flowerday, Adrian; Katsaragakis, Stylianos; Skene, Simon; Moore, Margaret; McCrone, Paul; De Souza, Nicosha; Donnan, Peter T; Maguire, Roma.
Afiliación
  • Miller M; Computer & Information Sciences, University of Strathclyde, Glasgow, United Kingdom.
  • McCann L; Computer & Information Sciences, University of Strathclyde, Glasgow, United Kingdom.
  • Lewis L; Johnson and Johnson Medical, Norderstedt, Germany.
  • Miaskowski C; University of California, San Francisco, CA, United States.
  • Ream E; School of Health Sciences, University of Surrey, Guildford, United Kingdom.
  • Darley A; School of Medicine, University College Dublin, Dublin, Ireland.
  • Harris J; School of Health Sciences, University of Surrey, Guildford, United Kingdom.
  • Kotronoulas G; School of Medicine, Dentistry and Nursing, University of Glasgow, Glasgow, United Kingdom.
  • V Berg G; Department of Health Sciences, Norwegian University of Science and Technology, Gjøvik, Norway.
  • Lubowitzki S; Department of Internal Medicine 1, Division of Hematology and Hemostaseology, Medical University of Vienna, Vienna, Austria.
  • Armes J; School of Health Sciences, University of Surrey, Guildford, United Kingdom.
  • Patiraki E; School of Health Sciences, National and Kapodistrian University of Athens, Athens, Greece.
  • Furlong E; School of Nursing, Midwifery and Health Systems, University College Dublin, Dublin, Ireland.
  • Fox P; School of Nursing, Midwifery and Health Systems, University College Dublin, Dublin, Ireland.
  • Gaiger A; Department of Internal Medicine 1, Division of Hematology and Hemostaseology, Medical University of Vienna, Vienna, Austria.
  • Cardone A; European Cancer Patient Coalition, Brussels, Belgium.
  • Orr D; NHS 24, Glasgow, United Kingdom.
  • Flowerday A; Docobo Limited, Leatherhead, United Kingdom.
  • Katsaragakis S; School of Health Sciences, National and Kapodistrian University of Athens, Athens, Greece.
  • Skene S; Surrey Clinical Trials Unit, University of Surrey, Guildford, United Kingdom.
  • Moore M; Computer & Information Sciences, University of Strathclyde, Glasgow, United Kingdom.
  • McCrone P; Department of Health Services and Population Research, Institute of Psychiatry Psychology and Neuroscience, King's College London, London, United Kingdom.
  • De Souza N; Population Health and Genomics, Medical School, University of Dundee, Dundee, United Kingdom.
  • Donnan PT; Population Health and Genomics, Medical School, University of Dundee, Dundee, United Kingdom.
  • Maguire R; Computer & Information Sciences, University of Strathclyde, Glasgow, United Kingdom.
J Med Internet Res ; 26: e49309, 2024 Jun 20.
Article en En | MEDLINE | ID: mdl-38901021
ABSTRACT

BACKGROUND:

Interest 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.

OBJECTIVE:

We aim to explore patients' and clinicians' perspectives of the utility and real-world application of PRMs to improve the management of CRS.

METHODS:

Focus 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.

RESULTS:

Both 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.

CONCLUSIONS:

Findings 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 REGISTRATION ClinicalTrials.gov NCT02356081; https//clinicaltrials.gov/study/NCT02356081.
Asunto(s)
Palabras clave

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Grupos Focales Límite: Adult / Aged / Female / Humans / Male / Middle aged Idioma: En Revista: J Med Internet Res Asunto de la revista: INFORMATICA MEDICA Año: 2024 Tipo del documento: Article País de afiliación: Reino Unido

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Grupos Focales Límite: Adult / Aged / Female / Humans / Male / Middle aged Idioma: En Revista: J Med Internet Res Asunto de la revista: INFORMATICA MEDICA Año: 2024 Tipo del documento: Article País de afiliación: Reino Unido