University of Lausanne.
Dana-Farber Cancer Institute.
Oncol Nurs Forum. 2024 Oct 17;51(6):529-546. doi: 10.1188/24.ONF.529-546.
To identify subgroups of patients with distinct psychological profiles at the beginning of the COVID-19 pandemic and evaluate for differences.
SAMPLE & SETTING: Online survey of patients with cancer during the COVID-19 pandemic.
METHODS & VARIABLES: Patients completed measures of demographic and clinical characteristics, as well as cancer- and COVID-19-related stress, global stress, social isolation, loneliness, financial toxicity, and common symptoms. Latent profile analysis was used to identify distinct psychological profiles.
Among 1,145 patients, three subgroups were identified (i.e., no anxiety or depression and normative level of resilience; high depression, high anxiety, and low resilience; and very high depression, very high anxiety, and very low resilience). Patients with the two worst psychological profiles were younger, more likely to be female, more recently diagnosed with cancer, and more likely to have breast cancer.
Findings may assist clinicians to identify patients at increased risk for significant psychological morbidity and provide more timely, targeted, and cost-effective interventions.
在 COVID-19 大流行之初确定具有不同心理特征的患者亚组，并评估其差异。
COVID-19 大流行期间癌症患者的在线调查。
患者完成了人口统计学和临床特征，以及与癌症和 COVID-19 相关的压力、总体压力、社会隔离、孤独、财务毒性和常见症状的测量。潜在剖面分析用于确定不同的心理特征。
在 1145 名患者中，确定了三个亚组（即无焦虑或抑郁且具有正常水平的适应力；高抑郁、高焦虑和低适应力；以及非常高抑郁、非常高焦虑和极低适应力）。具有两种最严重心理特征的患者更年轻，更可能是女性，癌症诊断时间更近，更可能患有乳腺癌。
研究结果可能有助于临床医生识别出有显著心理困扰风险的患者，并提供更及时、有针对性且具有成本效益的干预措施。
