ArticleJMIR mHealth and uHealth2019
Electronic Patient-Reported Outcome Measures in Radiation Oncology: Initial Experience After Workflow Implementation.
Article in JMIR mHealth and uHealth, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers, 4 of them syntheses 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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
30 citing papers in PubMed, 4 syntheses or guidelines pooled it, 77 citations in OpenAlex.
- Structural biases in digital health intervention and health equity research: a bibliometric knowledge graph analysis (2015-2025).Frontiers in digital health · 2026Pooled it
- Mobile applications in radiation oncology-current choices and future potentials.Strahlentherapie und Onkologie : Organ der Deutschen Rontgengesellschaft ... [et al] · 2023Pooled it
- Patient reported outcomes in oncology: changing perspectives-a systematic review.Health and quality of life outcomes · 2022Pooled it
- Acceptance and Use of Home-Based Electronic Symptom Self-Reporting Systems in Patients With Cancer: Systematic Review.Journal of medical Internet research · 2021Pooled it
- A Telemedicine App for Nonrigid Facial Rehabilitation Training Enhanced by Efficient Fully Convolutional Neural Network With Residual Network (EffiFCNN-ResNet) to Improve Accessibility for Patients With Nasopharyngeal Carcinoma Cancer: Randomized Controlled Trial.JMIR mHealth and uHealth · 2026Trial
- Validation of a Mobile Version of the American Shoulder and Elbow Surgeons Standardized Shoulder Assessment Form: An Observational Randomized Crossover Trial.JMIR mHealth and uHealth · 2020Trial
- Evolving person-focused cancer care: the multifaceted benefits of electronic PRO integration and radiation therapist-led follow-up in radiotherapy.Technical innovations & patient support in radiation oncology · 2026Article
- 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
- Exploring Usability of a Clinical Decision Support System for Cancer Care: A User-Centered Study.Cancer reports (Hoboken, N.J.) · 2025Article
- Evaluation of a Mobile App to Assist Patient Education and Research in Arthroplasty.Arthroplasty today · 2024Article
- Unleashing patient voices: empowering adverse event assessment with complete patient-reported outcomes.The oncologist · 2024Article
- Oncologic treatment support via a dedicated mobile app: a prospective feasibility evaluation (OPTIMISE-1).Strahlentherapie und Onkologie : Organ der Deutschen Rontgengesellschaft ... [et al] · 2024Article
- Involving Patients and Clinicians in the Design of Wireframes for Cancer Medicines Electronic Patient Reported Outcome Measures in Clinical Care: Mixed Methods Study.JMIR formative research · 2023Article
- Patients' experiences of engaging with electronic Patient Reported Outcome Measures (PROMs) after the completion of radiation therapy for breast cancer: a pilot service evaluation.Journal of medical radiation sciences · 2023Article
- KIT 1 (Keep in Touch) Project-Televisits for Cancer Patients during Italian Lockdown for COVID-19 Pandemic: The Real-World Experience of Establishing a Telemedicine System.Healthcare (Basel, Switzerland) · 2023Article
- Applications of Federated Learning in Mobile Health: Scoping Review.Journal of medical Internet research · 2023Article
- Implementation of electronic prospective surveillance models in cancer care: a scoping review.Implementation science : IS · 2023Article
- Electronic patient-reported outcome (ePRO) application for patients with prostate cancer.PloS one · 2023Article
- Electronic patient-reported outcomes (e-PROMs) in palliative cancer care: a scoping review.Journal of patient-reported outcomes · 2022Article
- Acceptance of physical activity monitoring in cancer patients during radiotherapy, the GIROfit phase 2 pilot trial.Technical innovations & patient support in radiation oncology · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundMobile health (mHealth) technologies are increasingly used in various medical fields. However, the potential of mHealth to improve patient care in radiotherapy by acquiring electronic patient reported outcome measures (ePROMs) during treatment has been poorly studied so far.
objectiveThe aim of this study was to develop and implement a novel Web app (PROMetheus) for patients undergoing radiotherapy. Herein, we have reported our experience with a focus on feasibility, patient acceptance, and a correlation of ePROMs with the clinical course of the patients.
methodsIn the period between January and June 2018, 21 patients used PROMetheus to score side effects, symptoms, and quality of life-related parameters during and after their treatment. Items of the Patient Reported Outcome version of the Common Terminology Criteria for Adverse Events (PRO-CTCAE) were chosen based on the primary site of disease, 27 items for head and neck tumors, 21 items for thoracic tumors, and 24 items for pelvic tumors.
resultsIn total, 17 out of the 21 patients (81%) regularly submitted ePROMs and more than 2500 data points were acquired. An average of 5.2, 3.5, and 3.3 min was required to complete the head and neck, thorax, and pelvis questionnaires, respectively. ePROMS were able to detect the occurrence of both expected and unexpected side effects during the treatment. In addition, a gradual increase in the severity of side effects over the course the treatment and their remission afterward could be observed with ePROMs. In total, 9 out of the 17 patients (53%), mostly those with head and neck and thoracic cancers, reported PRO-CTCAE grade III or IV fatigue with severe impairments of activities of daily life.
conclusionsThis study shows the successful implementation of an ePROM system and a high patient acceptance. ePROMs have a great potential to improve patient care in radiotherapy by providing a comprehensive documentation of symptoms and side effects, especially of ones that are otherwise underreported.
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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 OpenQuestion graph.