ArticleSupportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer2021
Real-time symptom management in the context of a remote symptom-monitoring system: prospective process evaluation and cross-sectional survey to explore clinical relevance.
Article in Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 5 papers.
What it found
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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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
5 citing papers in PubMed.
- Selection of patient-reported outcome measures (PROMs) and patient-reported experience measures (PREMs) for long-term follow up of patients diagnosed with lung or rectal cancer.Journal of patient-reported outcomes · 2026Article
- Moderation Effects of Daily Behavior on Associations Between Symptoms and Social Participation Outcomes After Burn Injury: A 6-Month Digital Phenotyping Study.Archives of physical medicine and rehabilitation · 2024Article
- Intensive Longitudinal Methods Among Adults With Breast or Lung Cancer: Scoping Review.Journal of medical Internet research · 2024Article
- Assessing Patient-Reported Outcomes in Routine Cancer Clinical Care Using Electronic Administration and Telehealth Technologies: Realist Synthesis of Potential Mechanisms for Improving Health Outcomes.Journal of medical Internet research · 2023Review
- A Narrative Review on the Collection and Use of Electronic Patient-Reported Outcomes in Cancer Survivorship Care with Emphasis on Symptom Monitoring.Current oncology (Toronto, Ont.) · 2022Review
Corrections and comments
- Erratum issued
Authors and funding
5 authors.
Funding
Abstract
purposeElectronic systems for remotely monitoring symptoms during systemic anticancer treatment are increasingly being used. Some of these systems have features triggering alerts to healthcare professionals for worsening and/or severe symptoms, enabling real-time symptom management. This study aimed at exploring the characteristics and process of real-time alert management as well as its clinical relevance as perceived by healthcare professionals.
methodsFrom January until September 2019, a prospective process evaluation was set up to collect data on all alerts and their management. Also, an online survey presenting a selected number of cases was set up to explore oncologists' and oncology nurses' perceived clinical relevance of the real-time management of the alerts.
resultsThe overall incidence rate of alerts was 1.4%. Of 253 alerts, pain, fever, dyspnea, and nausea were the most prevalent symptoms triggering an alert. The majority of alerts was managed by a nursing telephone consult alone. In 25.3% of cases, clinical examination was deemed necessary to manage the alert. In 148 of the ratings, oncologists and oncology nurses (totally) agreed with the clinical relevance of the real-time management (95.1%). The mean relevance score attached to the cases was 4.51 (±0.80).
conclusionsThe majority of alerts triggered by a mobile tool for remote symptom monitoring during cancer treatment can be managed by a telephone nursing consult and real-time management is evaluated as (very) relevant by the majority of clinicians.
Indexed as
Identifiers
33515304What OpenQuestion holds
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 OpenQuestion graph.