ArticlePloS one2023
Electronic patient-reported outcome (ePRO) application for patients with prostate cancer.
Article in PloS one, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 2 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
6 citing papers in PubMed, 2 syntheses or guidelines pooled 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
- The Role of mHealth Applications in Uro-Oncology: A Systematic Review and Future Directions.Cancers · 2025Review
- Glioblastoma Patient and Caregiver Perspectives of Treatment Side-Effects and Information Provision.Journal of patient experience · 2025Article
- Measuring patient reported outcomes in brachytherapy: Why we should do it and more importantly how.Clinical and translational radiation oncology · 2024Review
- Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
introductionCancer patients experience different complications and outcomes during or after medical treatments. Electronic reporting of the outcomes by patients is a solution that facilitates communication with physicians and improve patient health status. The aim of this study was to develop a smartphone-based application for electronic reporting of outcomes by patients with prostate cancer.
methodsThe present research was conducted in 2021 in two phases. In the first phase, initially, users' requirements were identified based on reviewing the related literature, existing applications, and guidelines. Then, a questionnaire was designed and the specialists' opinions about the users' requirements were investigated. The specialties included urologists, hemato-oncologists, uro-oncologists, and radiotherapists (n = 15). In the second phase, the application was designed, and patients with prostate cancer (n = 21) and specialists (n = 10) evaluated it using the post-study system usability questionnaire (PSSUQ). Data were analyzed using descriptive statistics.
resultsThe findings of the first phase of the research showed that out of 108 data elements and functions proposed for the application, 91 items were found essential by the specialists. Data elements were categorized into the patient data, general complications of prostate cancer and side effects of drug therapy, surgery, chemotherapy, cryotherapy, radiation therapy, and hormone therapy. Necessary functions for the application included presenting a patient care summary, communication between the patient and the specialist, free text explanation for complications and sides effects, generating reports, reminder and alert, completing quality of life questionnaire, and calculating the score for the questionnaire. In the second phase of the research, the application was developed and evaluated. The mean value for user satisfaction was (5.95 ± 0.55) out of 7.
conclusionThe developed application can help to accelerate communication with the specialists. It can improve quality of care, reduce unnecessary treatment visits and side effects, and improve timely data collection for a variety of research purposes. However, further research on the cost-effectiveness and usefulness of the collected data is recommended.
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