Essential Components of an Electronic Patient-Reported Symptom Monitoring and Management System: A Randomized Clinical Trial.

Importance: Multicomponent electronic patient-reported outcome cancer symptom management systems reduce symptom burden. Whether all components contribute to symptom reduction is unknown. Objective: To deconstruct intervention components of the Symptom Care at Home (SCH) system, a digital symptom monitoring and management intervention that has demonstrated efficacy, to determine which component or combination of components results in the lowest symptom burden. Design, Setting, and Participants: This randomized clinical trial included participants who were older than 18 years, had been diagnosed with cancer, had a life expectancy of 3 months or greater, were beginning a chemotherapy course planned for at least 3 cycles, spoke English, and had daily access and ability to use a telephone. Eligible participants were identified from the Huntsman Cancer Institute, University of Utah (Salt Lake City), and from Emory University Winship Cancer Institute, including Grady Memorial Hospital (Atlanta, Georgia), from August 7, 2017, to January 17, 2020. Patients receiving concurrent radiation therapy were excluded. Dates of analysis were from February 1, 2020, to December 22, 2023. Interventions: Participants reported symptoms daily during a course of chemotherapy and received automated self-management coaching with an activity tracker without (group 1) and with (group 2) visualization, nurse practitioner (NP) follow-up for moderate-to-severe symptoms without (group 3) and with (group 4) decision support, or the complete SCH intervention (group 5). Main Outcomes and Measures: The primary outcome, symptom burden, was assessed as the summed severity of 11 chemotherapy-related symptoms rated on a scale of 1 to 10 (with higher scores indicating greater severity), if present. Results: The 757 participants (mean [SD] age, 59.2 [12.9] years) from 2 cancer centers were primarily female (61.2%). The most common cancer diagnoses were breast (132 [17.4%]), lung (107 [14.1%]), and colorectal (99 [13.1%]) cancers; 369 patients (48.7%) had metastatic disease. The complete SCH intervention including automated self-management coaching and NP follow-up with decision support (group 5) was superior in reducing symptom burden to either of the self-management coaching groups, as shown by the mean group differences in area under the curve (group 1, 1.86 [95% CI, 1.30-2.41] and group 2, 2.38 [95% CI, 1.84-2.92]; both P < .001), and to either of the NP follow-up groups (group 3, 0.57 [95% CI, 0.03-1.11]; P =.04; and group 4, 0.66 [95% CI, 0.14-1.19]; P = .014). Additionally, NP follow-up was superior to self-management coaching (group 1 vs group 3, 1.29 [95% CI, 0.72-1.86]; group 1 vs group 4, 1.20 [95% 12 CI, 0.64-1.76]; group 2 vs group 3, 1.81 [95% CI, 1.25-2.37]; and group 2 vs group 4, 1.72 [95% CI, 1.17-2.26]; all P < .001), but there was no difference between the 2 self-management coaching groups (-0.52 [95% CI, -1.09 to 0.05]; P = .07) or between the 2 NP groups (-0.10 [95% CI, -0.65 to 0.46]; P = .74). Conclusions and Relevance: In this randomized clinical trial of adult participants undergoing chemotherapy treatment for cancer, the complete intervention, rather than any individual component of the SCH system, achieved the greatest symptom burden reduction. These findings suggest that a multicomponent digital approach to cancer symptom management may offer optimal symptom burden reduction. Trial Registration: ClinicalTrials.gov Identifier: NCT02779725.

Assessing Patient Perspectives and the Health Equity of a Digital Cancer Symptom Remote Monitoring and Management System.

PURPOSE: People with cancer experience poorly controlled symptoms that persist between treatment visits. Automated digital technology can remotely monitor and facilitate symptom management at home. Essential to digital interventions is patient engagement, user satisfaction, and intervention benefits that are distributed across patient populations so as not to perpetuate inequities. We evaluated Symptom Care at Home (SCH), an automated digital platform, to determine patient engagement, satisfaction, and whether intervention subgroups gained similar symptom reduction benefits. METHODS: 358 patients with cancer receiving a course of chemotherapy were randomly assigned to SCH or usual care (UC). Both groups reported daily on 11 symptoms and completed the SF36 (Short Form Health Survey) monthly. SCH participants received immediate automated self-care coaching on reported symptoms. As needed, nurse practitioners followed up for poorly controlled symptoms. RESULTS: The average participant was White (83%), female (75%), and urban-dwelling (78.6%). Daily call adherence was 90% of expected days. Participants reported high user satisfaction. SCH participants had lower symptom burden than UC in all subgroups: age, sex, race, income, residence type, diagnosis, and stage (all P < .001 effect size 0.33-0.65), except for stages I and II cancers. Non-White and lower-income SCH participants gained a higher magnitude of symptom reduction than White participants and higher-income participants. Additionally, SCH men gained higher SF36 mental health (MH) benefit. There were no differences on other SF36 indices. CONCLUSION: Participants were highly satisfied and consistently engaged the SCH platform. SCH men gained large MH improvements, perhaps from increased comfort in sharing concerns through automated interactions. Although all intervention subgroups benefited, non-White participants and those with lower income gained higher symptom reduction benefit, suggesting that systematic care through digital tools can overcome existing disparities in symptom care outcomes.

Impact of an automated, remote monitoring and coaching intervention in reducing hospice cancer family caregiving burden: A multisite randomized controlled trial.

BACKGROUND: Care for those with life-limiting cancer heavily involves family caregivers who may experience significant physical and emotional burden. The purpose of this study was to test the impact of Symptom Care at Home (SCH), an automated digital family caregiver coaching intervention, during home hospice, when compared to usual hospice care (UC) on the primary outcome of overall caregiver burden. Secondary outcomes included Caregiver Burden at weeks 1 and 8, Mood and Vitality subscales, overall moderate-to-severe caregiving symptoms, and sixth month spouse/partner bereavement outcomes. METHODS: Using a randomized, multisite, nonblinded controlled trial, 332 cancer family caregivers were enrolled and analyzed (159 SCH vs. 173 UC). Caregivers were primarily White (92%), female (69%), and spouse caregivers (53%). Caregivers provided daily reports on severity levels (0-10 scale) for their anxiety, depressed mood, fatigue, disturbed sleep, and caregiving interference with normal activities. These scores combined constituted the Caregiver Burden primary outcome. Based on reported symptoms, SCH caregivers received automated, tailored coaching about improving their well-being. Reports of moderate-to-severe caregiving symptoms also triggered hospice nurse notification. Secondary outcomes of Mood and Vitality were subcomponents of the Caregiver Burden score. A combined bereavement adjustment tool captured sixth month bereavement. RESULTS: The SCH intervention reduced overall Caregiver Burden compared to UC (p < .001), with a 38% reduction at 8 weeks and a medium-to-large effect size (d = .61). SCH caregivers experienced less (p < .001) disruption in both Mood and Vitality. There were higher levels of moderate-to-severe caregiving symptoms overtime in UC (OR, 2.722). All SCH caregivers benefited regardless of caregiver: sex, caregiver relationship, age, patient diagnosis and family income. SCH spouse/partner caregivers achieved better sixth month bereavement adjustment than UC (p < .007). CONCLUSIONS: The SCH intervention significantly decreased caregiving burden over UC and supports the maintenance of family caregiver mood and vitality throughout caregiving with extended benefit into bereavement.

Technology-Assisted mHealth Caregiver Support to Manage Cancer Patient Symptoms: A Randomized Controlled Trial.

CONTEXT: Caregivers managing symptoms of family members with cancer during home hospice care, often feel ill-prepared and need patient care coaching. OBJECTIVES: This study tested the efficacy of an automated mHealth platform that included caregiver coaching on patient symptom care and nurse notifications of poorly controlled symptoms. The primary outcome was caregiver perception of patients' overall symptom severity throughout hospice care and at weeks one, two, four, and eight. Secondary outcomes compared individual symptom severity. METHODS: Caregivers (n = 298) were randomly assigned to the Symptom Care at Home (SCH) intervention (n = 144) or usual hospice care (UC) (n = 154). All caregivers placed daily calls to the automated system that assessed the presence and severity of 11 end-of-life patient physical and psychosocial symptoms. SCH caregivers received automated coaching on symptom care based on reported patient symptoms and their severity. Moderate-to-severe symptoms were also relayed to the hospice nurse. RESULTS: The SCH intervention produced a mean overall symptom reduction benefit, over UC, of 4.89 severity points (95% CI 2.86-6.92) (P < 0.001), with a moderate effect size (d = 0.55). The SCH benefit also occurred at each timepoint (P < 0.001- 0.020). There was a 38% reduction in days reporting moderate-to-severe patient symptoms compared to UC (P < 0.001) with 10/11 symptoms significantly reduced in SCH compared to UC. CONCLUSION: Automated mHealth symptom reporting by caregivers, paired with tailored caregiver coaching on symptom management and nurse notifications, reduces cancer patients' physical and psychosocial symptoms during home hospice, providing a novel and efficient approach to improving end-of-life care.