Trial reportJAMA network open2024
Essential Components of an Electronic Patient-Reported Symptom Monitoring and Management System: A Randomized Clinical Trial.
Trial report in JAMA network open, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02779725 (SymptomCare@Home), which is not on this map. Cited by 15 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
SymptomCare@Home (SCH): Deconstructing an Effective, Technology-assisted, Symptom Management Intervention
Who cites it
15 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Effectiveness of Nurse-Led Digital Health Interventions on Symptom Management and Quality of Life in Cancer Patients Undergoing Systemic Therapy: A Systematic Review of Randomized Controlled Trials.Current oncology (Toronto, Ont.) · 2026Pooled it
- Digital Self-Management of Symptoms and Quality of Life for Patients With Advanced Cancer: A Randomized Clinical Trial.JAMA network open · 2026Trial
- A randomized controlled trial of telemedicine and e-health interventions for the management of oral complications in oncology patients undergoing antineoplastic therapy.Frontiers in oncology · 2026Trial
- Cost-Effective Components of a Patient-Reported Symptom Monitoring System for Chemotherapy.JAMA network open · 2025Trial
- AI-based augmentation of oncology clinical trials.Nature reviews. Clinical oncology · 2026Review
- Observational
- The Current Landscape of Remote Digital Symptom Monitoring for Patients With Lung Cancer: Scoping Review.Journal of medical Internet research · 2026Article
- Editorial: Understanding oral health challenges in pediatric and adult cancer care.Frontiers in oncology · 2026Article
- Scalable tracking of symptoms in the electronic health record using large language models in patients with central nervous system cancers undergoing therapy.Neuro-oncology · 2026Article
- Article
- Remote monitoring in older adults with cancer, opportunities and challenges: a narrative review.Aging clinical and experimental research · 2025Review
- Step count and symptom severity during cancer treatment using the Symptom Care at Home digital platform.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2025Article
- Advancing Global Cancer Symptom Science: Insights and Strategies from the Inaugural Cancer Symptom Science Expert Meeting.Seminars in oncology nursing · 2025Article
- Digital Patient-Reported Cancer Symptom Management: Comparison of Black and White Participants.Cancer medicine · 2025Article
- Evaluation of the Content Validity of the COVID-19 Symptoms Daily Diary.Patient related outcome measures · 2025Article
Corrections and comments
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Authors and funding
9 authors.
Funding
Abstract
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.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.