Division of Hematology & Oncology, Department of Medicine, Massachusetts General Hospital & Harvard Medical School, Boston, Massachusetts.
Biostatistics Center, Massachusetts General Hospital, Boston.
JAMA Oncol. 2022 Apr 1;8(4):571-578. doi: 10.1001/jamaoncol.2021.7643.
Symptom monitoring interventions are increasingly becoming the standard of care in oncology, but studies assessing these interventions in the hospital setting are lacking.
To evaluate the effect of a symptom monitoring intervention on symptom burden and health care use among hospitalized patients with advanced cancer.
DESIGN, SETTING, AND PARTICIPANTS: This nonblinded randomized clinical trial conducted from February 12, 2018, to October 30, 2019, assessed 321 hospitalized adult patients with advanced cancer and admitted to the inpatient oncology services of an academic hospital. Data obtained through November 13, 2020, were included in analyses, and all analyses assessed the intent-to-treat population.
Patients in both the intervention and usual care groups reported their symptoms using the Edmonton Symptom Assessment System (ESAS) and the 4-item Patient Health Questionnaire-4 (PHQ-4) daily via tablet computers. Patients assigned to the intervention had their symptom reports displayed during daily oncology rounds, with alerts for moderate, severe, or worsening symptoms. Patients assigned to usual care did not have their symptom reports displayed to their clinical teams.
The primary outcome was the proportion of days with improved symptoms, and the secondary outcomes were hospital length of stay and readmission rates. Linear regression was used to evaluate differences in hospital length of stay. Competing-risk regression (with death treated as a competing event) was used to compare differences in time to first unplanned readmission within 30 days.
From February 12, 2018, to October 30, 2019, 390 patients (76.2% enrollment rate) were randomized. Study analyses to assess change in symptom burden included 321 of 390 patients (82.3%) who had 2 or more days of symptom reports completed (usual care, 161 of 193; intervention, 160 of 197). Participants had a mean (SD) age of 63.6 (12.8) years and were mostly male (180; 56.1%), self-reported as White (291; 90.7%), and married (230; 71.7%). The most common cancer type was gastrointestinal (118 patients; 36.8%), followed by lung (60 patients; 18.7%), genitourinary (39 patients; 12.1%), and breast (29 patients; 9.0%). No significant differences were detected between the intervention and usual care for the proportion of days with improved ESAS-physical (unstandardized coefficient [B] = -0.02; 95% CI, -0.10 to 0.05; P = .56), ESAS-total (B = -0.05; 95% CI, -0.12 to 0.02; P = .17), PHQ-4-depression (B = -0.02; 95% CI, -0.08 to 0.04; P = .55), and PHQ-4-anxiety (B = -0.04; 95% CI, -0.10 to 0.03; P = .29) symptoms. Intervention patients also did not differ significantly from patients receiving usual care for the secondary end points of hospital length of stay (7.59 vs 7.47 days; B = 0.13; 95% CI, -1.04 to 1.29; P = .83) and 30-day readmission rates (26.5% vs 33.8%; hazard ratio, 0.73; 95% CI, 0.48-1.09; P = .12).
This randomized clinical trial found that for hospitalized patients with advanced cancer, the assessed symptom monitoring intervention did not have a significant effect on patients' symptom burden or health care use. These findings do not support the routine integration of this type of symptom monitoring intervention for hospitalized patients with advanced cancer.
ClinicalTrials.gov Identifier: NCT03396510.
重要性:症状监测干预措施在肿瘤学中越来越成为标准护理,但在医院环境中评估这些干预措施的研究却很少。
目的:评估症状监测干预对住院晚期癌症患者的症状负担和医疗保健利用的影响。
设计、地点和参与者:这项非盲随机临床试验于 2018 年 2 月 12 日至 2019 年 10 月 30 日进行,评估了 321 名住院成年晚期癌症患者,这些患者被收入学术医院的住院肿瘤科。纳入分析的数据截至 2020 年 11 月 13 日,所有分析均评估了意向治疗人群。
干预措施:两组患者(干预组和常规护理组)均通过平板电脑每天使用埃德蒙顿症状评估系统(ESAS)和 4 项患者健康问卷-4(PHQ-4)报告症状。被分配到干预组的患者,其症状报告将在每天的肿瘤学查房中显示出来,对于中度、重度或恶化的症状会有警报。被分配到常规护理组的患者的症状报告不会向其临床团队显示。
主要结局和措施:主要结局是症状改善天数的比例,次要结局是住院时间和再入院率。线性回归用于评估住院时间的差异。竞争风险回归(将死亡视为竞争事件)用于比较 30 天内首次非计划再入院的时间差异。
结果:2018 年 2 月 12 日至 2019 年 10 月 30 日,共随机分配了 390 名患者(76.2%的入组率)。评估症状负担变化的研究分析包括 321 名患者(2 天或以上完成症状报告;常规护理组 193 名患者中的 161 名,干预组 197 名患者中的 160 名)。参与者的平均年龄(SD)为 63.6(12.8)岁,大多数为男性(180 名;56.1%),自我报告为白人(291 名;90.7%),已婚(230 名;71.7%)。最常见的癌症类型是胃肠道(118 名患者;36.8%),其次是肺癌(60 名患者;18.7%)、泌尿生殖系统(39 名患者;12.1%)和乳腺癌(29 名患者;9.0%)。干预组和常规护理组在 ESAS-生理(未标准化系数[B]=-0.02;95%CI,-0.10 至 0.05;P=0.56)、ESAS-总分(B=-0.05;95%CI,-0.12 至 0.02;P=0.17)、PHQ-4-抑郁(B=-0.02;95%CI,-0.08 至 0.04;P=0.55)和 PHQ-4-焦虑(B=-0.04;95%CI,-0.10 至 0.03;P=0.29)症状方面,两组间无显著差异。与接受常规护理的患者相比,干预组患者的次要终点(住院时间:7.59 天与 7.47 天;B=0.13;95%CI,-1.04 至 1.29;P=0.83)和 30 天再入院率(26.5%与 33.8%;危险比,0.73;95%CI,0.48 至 1.09;P=0.12)也无显著差异。
结论和相关性:这项随机临床试验发现,对于住院晚期癌症患者,评估的症状监测干预措施对患者的症状负担或医疗保健利用没有显著影响。这些发现不支持常规整合这种类型的症状监测干预措施用于住院晚期癌症患者。
试验注册:ClinicalTrials.gov 标识符:NCT03396510。