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Sleep Impairment in Oncology: Development of a Novel Patient-Centric Conceptual Model
Harriet Makin1, Sophie Van Tomme2, Natalie V J Aldhouse1
1Clinical Outcomes Assessment, Clarivate Analytics, 70. St Mary Axe, London EC3A 8BE, UK.
Background/Objectives:
Up to 95% of cancer patients report sleep disturbances or disorders. These can potentially influence cancer development and outcomes. This study aimed to review the existing literature to understand the patient experience of cancer-related sleep impairment across indications and treatments, to improve awareness and inform disease treatment/management.
Methods:
A targeted literature review of published qualitative studies exploring sleep impairment in oncology was conducted in MEDLINE, Embase, and PsycINFO. Concepts were extracted from the reviewed articles, and patient quotes or author descriptions/interpretations were subject to secondary analysis using semantic, qualitative, directed content analysis techniques via ATLAS.ti. Results informed the development of a patient-centric conceptual model.
Results:
From 482 identified publications, 22 publications were selected for in-depth review and concept extraction, collectively including 531 patients across 25 different oncology indications. Cancer-related sleep impairment frequently affected patients living with cancer, who reported difficulty obtaining good quality sleep, including difficulty falling asleep and staying asleep. Sleep problems were triggered by the emotional anxiety of life with cancer, cancer-related symptoms, treatments and side effects, and external factors. Poor sleep greatly impacted daily life for patients, with difficulties in daily life causing further sleep impairment, in a cyclical relationship.
Conclusions:
This study determined that there is an unmet need for treatment of sleep impairment in oncology to improve patient outcomes. The holistic conceptual model developed in this study can provide an important basis for selecting, developing, or modifying outcome measures to assess relevant sleep outcomes, facilitating discussion between patients and clinicians and improving disease treatment/management.
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