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Risk Factors for a Higher Symptom Burden in Patients With Cancer During the COVID-19 Pandemic
Ji Hun Kwak1, Lynda A Mackin1, Astrid Block1
1University of California, San Francisco.
Oncology Nursing Forum
|September 7, 2023
Summary
This study identified four distinct symptom profiles in cancer patients, revealing significant differences in stress and resilience across these groups. These findings offer benchmark data on symptom burden post-COVID-19.
Area of Science:
- Oncology nursing
- Psychosocial oncology
- Symptom science
Background:
- The COVID-19 pandemic has impacted the well-being of cancer patients.
- Understanding distinct symptom profiles is crucial for targeted interventions.
- Stress and resilience levels can vary significantly among cancer patients.
Purpose of the Study:
- To identify subgroups of cancer patients with unique symptom profiles.
- To examine demographic, clinical, stress, and resilience differences among these subgroups.
- To establish benchmark data on symptom burden in cancer patients post-pandemic.
Main Methods:
- 1,145 adult cancer patients completed an online survey.
- Measures included depression, anxiety, fatigue, energy, sleep disturbance, pain, stress, and resilience.
- Latent class profile analysis identified patient subgroups; parametric and nonparametric tests compared differences.
Main Results:
- Four distinct symptom profiles were identified: none, low, high, and very high.
- Patients in the 'high' and 'very high' classes reported clinically significant levels across all nine measured symptoms.
- A dose-response relationship was observed between symptom profiles and levels of stress and resilience.
Conclusions:
- Cancer patients exhibit diverse symptom profiles, impacting their stress and resilience.
- The identified profiles provide a framework for understanding symptom burden.
- These findings serve as critical benchmark data for cancer care following the COVID-19 pandemic.
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