Trial reportJournal of medical Internet research2023
App-Controlled Treatment Monitoring and Support for Patients With Head and Neck Cancer Undergoing Radiotherapy: Results From a Prospective Randomized Controlled Trial.
Trial report in Journal of medical Internet research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 4 of them syntheses that pooled it.
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
21 citing papers in PubMed, 4 syntheses or guidelines pooled it, 21 citations in OpenAlex.
- Evaluating Effectiveness of mHealth Interventions for Rehabilitation in Patients With Head and Neck Cancer: Systematic Review and Meta-Analysis of Randomized Controlled Trials.JMIR mHealth and uHealth · 2026Pooled it
- Electronic Patient Reported Outcome Measures and quality of life in cancer (E-PROMISE): systematic review of the evidence and meta-analysis.BMJ open quality · 2025Pooled it
- Electronic patient-reported outcome systems and capabilities in cancer care: a systematic review.Frontiers in digital health · 2025Pooled it
- Advancing patient-centered cancer care: a systematic review of electronic patient-reported outcome measures.Frontiers in rehabilitation sciences · 2024Pooled it
- Nurse-led mobile health symptom management in patients with head and neck cancer undergoing concurrent chemoradiotherapy: a randomized controlled trial.BMC nursing · 2026Article
- Integration of Patient-Reported Outcome Measures in Clinical Practice for Head and Neck Cancer Patients: A Cross-Sectional Survey.Current oncology (Toronto, Ont.) · 2026Article
- Exploring the Adoption of Mobile Health Apps Among Patients with Head and Neck Cancer After the COVID-19 Pandemic: Secondary Analysis of Cross-Sectional Survey.JMIR cancer · 2026Article
- Patient education on PROM completion in clinical care settings: a scoping review.Journal of patient-reported outcomes · 2026Article
- Quality of life in cancer patients at the end of radiotherapy compared to a general population sample in Germany.International journal of cancer · 2026Article
- Validation of a patient-based strategy for ambulatory monitoring of oncological pain by a mobile application.Scientific reports · 2026Article
- Use of Mobile Application for Improving Drug Compliance and Clinical Outcomes: A Randomized Controlled Trial.International journal of telemedicine and applications · 2026Article
- Exploring Feature Preferences for a Treatment-Accompanying App in Patients Undergoing Radiation Therapy: Cross-Sectional Study.JMIR cancer · 2025Article
- Integrating Electronic Patient-Reported Outcome Measures (ePROMs) into Personalised Follow-up for Patients after Radiotherapy. A Feasibility Study.Technical innovations & patient support in radiation oncology · 2025Article
- Evaluating an electronic patient-reported outcome monitoring system in patients with prostate cancer in routine clinical care: a prospective observational study.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2025Observational
- Does severe mucositis impair oncological outcome in head and neck cancer patients? A pooled analysis of two prospective studies with long-term follow-up.BMC cancer · 2025Article
- Dynamics in distress and quality of life in patients undergoing radiation therapy: a prospective cohort study.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2025Article
- Evaluating the radiosensitivity of the oral microbiome to predict radiation-induced mucositis in head and neck cancer patients: A prospective trial.Clinical and translational radiation oncology · 2025Article
- Increased acid sphingomyelinase levels in saliva as oral mucositis severity predictors.Frontiers in oncology · 2025Article
- Digital support and artificial intelligence in cancer patients undergoing radiation therapy: patient utilization, acceptance and attitudes.Frontiers in oncology · 2025Article
- Use of Topical Calendula and Chamomile Creams for the Management of Radiodermatitis in Cancer Patients: A Randomized Clinical Trial Protocol.Global advances in integrative medicine and healthArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
14 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundHead and neck cancers (HNCs) are very common malignancies, and treatment often requires multimodal approaches, including radiotherapy and chemotherapy. Patients with HNC often display a high symptom burden, both due to the disease itself and the adverse effects of the multimodal therapy. Close telemonitoring of symptoms and quality of life during the course of treatment may help to identify those patients requiring early medical support.
objectiveThe App-Controlled Treatment Monitoring and Support for Patients With Head and Neck Cancer (APCOT) trial aimed to investigate the feasibility of integrating electronic patient-reported outcomes (ePROs) in the treatment surveillance pathway of patients with HNC during the course of their radiotherapy. Additionally, the influence of app-based ePRO monitoring on global and disease-specific quality of life and patient satisfaction with treatment was assessed.
methodsPatients undergoing radiotherapy for histologically proven HNCs at the Department of Radiation Oncology, University Medical Center Freiburg, Germany, were enrolled in this trial and monitored by weekly physician appointments. Patients were randomized between additional ePRO monitoring on each treatment day or standard-of-care monitoring. Feasibility of ePRO monitoring was defined as ≥80% of enrolled patients answering ≥80% of their daily app-based questions. Quality of life and patient satisfaction were assessed by the European Organisation for Research and Treatment of Cancer Core Quality of Life Questionnaire (QLQ-C30), the head and neck cancer module (H&N35), and the validated Patient Satisfaction Questionnaire Short Form (PSQ-18) at the completion of treatment and compared between trial arms.
resultsA total of 100 patients were enrolled in this trial, and 93 patients were evaluable. All patients (100%) in the experimental arm answered ≥80% of the ePRO questions during treatment, reaching the predefined threshold for the feasibility of ePRO monitoring (P<.001 in the binomial test). No clinical or patient-specific factor was found to influence feasibility. Global health and most domains of the general quality of life were comparable between trial arms, but an increased HNC-specific symptom burden was reported by patients undergoing ePRO surveillance. ePRO monitoring resulted in improved patient satisfaction regarding interpersonal manners (P=.01), financial aspects (P=.01), and time spent with a doctor (P=.01).
conclusionsThis trial demonstrated the feasibility of incorporating daily app-based ePRO surveillance for patients with HNC undergoing radiotherapy. Our data, for the first time, demonstrate that telemonitoring in this setting led to increased reporting of HNC-specific symptom burden and significantly improved several domains of patient satisfaction. Further analyses are needed to assess whether our findings hold true outside the context of a clinical trial.
trial registrationGerman Clinical Trials Register DRKS00020491; https://drks.de/search/en/trial/DRKS00020491.
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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.