ArticleJCO clinical cancer informatics2023
Evaluating Nurses' Time to Response by Severity and Cancer Stage in a Remote Symptom Monitoring Program for Patients With Breast Cancer.
Article in JCO clinical cancer informatics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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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.
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Who cites it
11 citing papers in PubMed.
- Symptom monitoring with electronic patient-reported outcomes during cancer treatment: final results of the PRO-TECT cluster-randomized trial.Nature medicine · 2025Trial
- Barriers encountered and implementation strategies deployed to facilitate real-world remote symptom monitoring in patients receiving active cancer treatment.Frontiers in health services · 2026Article
- Cost-Benefit Analysis of Preventing Acute Care Use in Oncology Patients Following Systemic Therapy Using Medicare Claims Data: Retrospective Cohort Study.JMIR medical informatics · 2025Article
- Patient Perspectives on Technological Barriers and Implementation Strategies Leveraged During a Real-World Remote Symptom Monitoring Program.JCO clinical cancer informatics · 2025Article
- Qualitative Study of Health Care Team Perception of the Benefits and Limitations of Remote Symptom Monitoring.JCO oncology practice · 2025Article
- Remote Symptom Monitoring With Electronic Patient-Reported Outcomes in Clinical Cancer Populations.JAMA network open · 2025Article
- Co-design of an electronic patient-reported outcome symptom monitoring system for immunotherapy toxicities.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2024Article
- Learning to Overcome Barriers to Electronic Patient-Reported Outcome Implementation: Lessons From the Field.JCO oncology practice · 2024Article
- Implementation of electronic patient-reported outcomes for symptom monitoring during cancer treatment: the importance of getting it right.Journal of comparative effectiveness research · 2023Article
- Article
- Patient-Perceived Benefits and Limitations of Standard of Care Remote Symptom Monitoring During Cancer Treatment.Cancer control : journal of the Moffitt Cancer CenterArticle
Corrections and comments
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Authors and funding
21 authors.
Funding
Abstract
purposeRemote symptom monitoring (RSM) using electronic patient-reported outcomes enables patients with cancer to communicate symptoms between in-person visits. A better understanding of key RSM implementation outcomes is crucial to optimize efficiency and guide implementation efforts. This analysis evaluated the association between the severity of patient-reported symptom alerts and time to response by the health care team.
methodsThis secondary analysis included women with stage I-IV breast cancer who received care at a large academic medical center in the Southeastern United States (October 2020-September 2022). Symptom surveys with at least one severe symptom alert were categorized as severe. Response time was categorized as optimal if the alert was closed by a health care team member within 48 hours. Odds ratios (ORs), predicted probabilities, and 95% CIs were estimated using a patient-nested logistic regression model.
resultsOf 178 patients with breast cancer included in this analysis, 63% of patients identified as White and 85% of patients had a stage I-III or early-stage cancer. The median age at diagnosis was 55 years (IQR, 42-65). Of 1,087 surveys included, 36% reported at least one severe symptom alert and 77% had an optimal response time by the health care team. When compared with surveys that had no severe symptom alerts, surveys with at least one severe symptom alert had similar odds of having an optimal response time (OR, 0.97; 95% CI, 0.68 to 1.38). The results were similar when stratified by cancer stage.
conclusionResponse times to symptom alerts were similar for alerts with at least one severe symptom compared with alerts with no severe symptoms. This suggests that alert management is being incorporated into routine workflows and not prioritized based on disease or symptom alert severity.
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