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Reactive patient-reported outcome assessment improves specific symptoms in early breast cancer patientsTrial Shows Digital Monitoring Helps Manage Breast Cancer Symptoms

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Key Takeaway
Consider reactive patient-reported outcomes as a supportive tool for triage, though improvements are domain-specific.

The study investigated the impact of a reactive patient-reported outcome assessment (RPA) system compared to an active digital comparator in adults with early breast cancer. The RPA system utilized a mobile application with weekly screening and rule-based triage to alert care teams to specific symptom declines. The primary outcomes were measured using a standardized set of health-related quality of life domains.

Findings indicated that patients using the RPA system experienced improvements in fatigue, anxiety, and social participation compared to the control group. However, the authors noted that these improvements were domain-specific and fell below the threshold for a minimally important difference. Other domains, such as pain intensity and physical function, did not show statistically significant differences between the two groups. Exploratory analyses suggested a slower time to deterioration for several symptoms in the RPA group.

Limitations of the study include the open-label design, the small number of participating centers, and the fact that most improvements were not clinically large. The authors suggest that the system should be viewed as a supportive care workflow tool rather than a standalone treatment for morbidity. Clinicians may consider it a way to enhance triage and documentation for patients experiencing treatment-related symptoms.

Researchers conducted a study involving 487 adults with early stage breast cancer to see if a digital monitoring tool could help manage symptoms. Patients were split into two groups. One group used a system that checked their health scores weekly and sent alerts to the medical team if symptoms worsened. The other group used a standard digital tool with scheduled check-ins but no automatic alerts.

The study found that patients using the alert-based system reported lower levels of fatigue and anxiety by the end of their treatment. They also reported better social participation. While some other areas like sleep and depression showed improvements, these results were not as statistically certain. It is important to note that these improvements were specific to certain symptoms and were not large enough to be considered major clinical changes.

This tool is designed to help medical teams identify when a patient needs extra support. It is not a replacement for standard medical care but rather a way to organize how a care team responds to patient reports. Because the study was small and conducted at only two hospitals, the results should be viewed as a way to improve care workflows rather than a guaranteed cure for any specific symptom.

What this means for you:
A digital alert system may help manage specific symptoms like fatigue and anxiety in early breast cancer patients.

Common questions

Is this digital tool safe for breast cancer patients?

The study reported that no harms were linked to the use of the digital monitoring tool. It is designed as a support tool to help care teams respond to patient symptoms. You should discuss with your doctor how such tools might fit into your specific care plan.

What specific symptoms did the tool help with?

Patients using the alert-based system showed lower scores for fatigue and anxiety compared to the other group. They also reported better social participation. Other symptoms like sleep issues and depression showed some improvement, but the results were not as statistically certain.

How is this different from standard care?

Standard care involves scheduled check-ins. This specific tool adds a weekly check of your symptoms. If your scores drop significantly, it triggers an alert to your medical team. It is meant to help the team act faster when you need extra support.

Study Details

Study typeRct
Sample sizen = 242
EvidenceLevel 2
PublishedOct 2026
View Original Abstract ↓
BACKGROUND: Electronic patient-reported outcomes (ePROs) can support patient-centered oncology care, but in early breast cancer, it is unclear whether real-time ePRO-triggered triage adds benefit beyond lower-intensity app-based support and scheduled ePRO collection. OBJECTIVE: We tested whether adding weekly ePRO screening, rule-based triage, and care-team escalation to app-based support improves health-related quality of life (HRQoL) during systemic therapy for early breast cancer. METHODS: ENABLE was a multicenter, open-label, parallel-group randomized controlled trial at 2 German university hospitals. Adults with early (stage I-III) breast cancer initiating systemic therapy were randomized 1:1 to reactive patient-reported outcome assessment (RPA) or control. Both arms received the ENABLE app with educational and organizational support and scheduled HRQoL assessments at 6 fixed time points; only RPA received weekly EuroQol Visual Analogue Scale screening (trigger: score <50 or ≥10-point decline) followed by symptom assessment, digital triage, and care-team alerts. Patient-Reported Outcomes Measurement Information System-29 was analyzed as an 8-measure HRQoL end-point family (7 domains plus pain intensity); no single domain, composite score, or binary global success rule was prespecified. Group-by-visit mixed-effects models were fitted with Benjamini-Hochberg false-discovery-rate adjustment. The recruitment period was March 22, 2021, to September 8, 2023. RESULTS: Of 605 randomized patients, 487 entered the modified intention-to-treat analysis (RPA: n=242; control: n=245). End-of-treatment between-group differences (RPA minus control, -score points, 95% CI, and adjusted ) were: fatigue -3.90 (95% CI -5.77 to -2.03; =.004), social participation +2.84 (95% CI 1.18 to 4.49; =.01), anxiety -2.10 (95% CI -3.65 to -0.55; =.049), depression -1.95 (95% CI -3.25 to -0.65; =.10), sleep disturbance -1.82 (95% CI -3.43 to -0.20; =.051), pain interference -1.44 (95% CI -3.38 to 0.49; =.18), physical function +1.33 (95% CI -0.22 to 2.88; =.18), and pain intensity -0.26 (95% CI -0.73 to 0.21; =.32; 0-10 scale). All -score differences were below the 5-point minimally important difference (MID). Exploratory time-to-deterioration analyses favored RPA for fatigue (hazard ratio [HR] 0.69, 95% CI 0.54-0.89), social participation (HR 0.76, 95% CI 0.59-0.97), and depression (HR 0.66, 95% CI 0.44-0.98). Of 209 monitored RPA patients, 160 (76.6%; 95% CI 70.4-81.8) triggered at least 1 alert. No intervention-related harms were identified. CONCLUSIONS: ENABLE tests real-time, rule-based ePRO triage with care-team escalation against an active digital comparator rather than usual care, isolating the response pathway itself; it extends this design from metastatic disease into early breast cancer and escalates to the care team rather than to the patient alone. Benefits were domain-specific and sub-MID, in anxiety, fatigue, and social participation, tempering the expectation of a global HRQoL effect. For practice, symptom-triggered triage is a supportive-care workflow tool worth embedding where alerts reach a team that acts and documents, not a stand-alone remedy for treatment-related morbidity.
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