School of Nursing, Queensland University of Technology, Q4059, Kelvin Grove, Australia.
Institute of Health and Biomedical Innovation, Queensland University of Technology, QLD, Kelvin Grove, 4059, Australia.
Support Care Cancer. 2020 Oct;28(10):4677-4686. doi: 10.1007/s00520-020-05312-4. Epub 2020 Jan 18.
A breast cancer diagnosis has a substantial economic impact. Study aims were to evaluate for inter-individual differences in cancer's level of interference with employment and identify phenotypic and symptom characteristics associated with higher levels of interference.
Patients (n = 387) were enrolled prior to breast cancer surgery and followed for 12 months. Interference with employment was measured using a 0 (no problem) to 10 (severe problem) numeric rating scale. Hierarchical linear modeling (HLM) was used to evaluate for inter-individual differences in trajectories of employment interference and characteristics associated with employment interference at enrollment and over 12 months.
Patients' mean age was 55.0 (±11.7) years and the majority underwent breast conservation surgery (80.6%). Mean employment interference score was 3.2 (±3.7). Unconditional model for employment interference demonstrated a decreasing linear trend (-.076/month). Younger age, lower income, higher pain intensity, and having an axillary lymph node dissection were associated with higher pre-surgical interference scores. Having a sentinel lymph node biopsy was associated with ongoing employment interference scores. Higher sleep disturbance scores were associated with both initial and ongoing employment interference scores. Receipt of chemotherapy, use of complementary or alternative therapies, and re-excision or mastectomy following surgery were significant time varying covariates.
This study is the first to use HLM to describe inter-individual differences in the trajectories of cancer's interference with employment and associated factors prior to and for 12 months following breast cancer surgery. Patients with the identified risk factors warrant ongoing assessments of employment interference and appropriate referrals.
乳腺癌诊断会对经济造成重大影响。本研究旨在评估个体间癌症对就业的干扰程度的差异,并确定与较高干扰程度相关的表型和症状特征。
在乳腺癌手术前招募了 387 名患者,并随访了 12 个月。使用 0(无问题)到 10(严重问题)的数字评分量表来衡量就业干扰程度。采用分层线性模型(HLM)评估就业干扰轨迹的个体间差异以及在入组时和 12 个月期间与就业干扰相关的特征。
患者的平均年龄为 55.0(±11.7)岁,大多数接受了保乳手术(80.6%)。平均就业干扰评分 3.2(±3.7)。就业干扰的无条件模型显示出递减的线性趋势(每月-.076)。年龄较小、收入较低、疼痛强度较高以及腋窝淋巴结清扫术与术前干扰评分较高相关。前哨淋巴结活检与持续的就业干扰评分相关。较高的睡眠障碍评分与初始和持续的就业干扰评分均相关。术后接受化疗、使用补充或替代疗法以及再次切除或乳房切除术是显著的时间变化协变量。
本研究首次使用 HLM 描述了乳腺癌手术前后个体间癌症对就业干扰的轨迹差异以及相关因素。具有这些确定风险因素的患者需要持续评估就业干扰情况并进行适当的转介。