ArticleDigital health
Exploring patient perspectives on electronic patient-reported outcome measures in home-based cancer palliative care: A qualitative study.
Article in Digital health. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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
3 citing papers in PubMed, 5 citations in OpenAlex.
- Symptom burden in patients with hematologic malignancies and its influencing factors.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2026Article
- Understanding Value-Based Healthcare: Qualitative Insights From Nurses and Nursing Managers in Hospital Settings.Journal of nursing management · 2025Article
- 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
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Electronic patient-reported outcomes (ePROMs) enhance symptom management and patients' engagement in palliative cancer care. However, integrating them into this setting brings challenges, including patients' familiarity with technological devices and declining health status. Prioritizing the patient's acceptability and feasibility is crucial for their adoption. However, more knowledge is needed about patients' perspectives on the adoption of ePROMs in the community, especially for home-based palliative care. Aim: Explore patient viewpoints on utilizing ePROMs for symptom reporting in home-based oncology palliative care. Design: A qualitative interpretative approach was used to evaluate patients' points of view on using ePROMs in this specific care setting. Semistructured interviews were carried out. Data were analyzed using a reflexive thematic analysis. Setting/participants: A total of 25 patients receiving oncological home palliative care from the advanced palliative care unit of the Fondazione IRCCS Istituto Nazionale dei Tumori in Milan, Italy, were invited to participate. Twenty interviews were conducted, as five patients declined due to deteriorating health. Results: Four themes were identified: (1) strategic value of ePROMs and subjective appreciation; (2) enhancing patient centeredness through ePROMs; (3) exploring and addressing concerns about the use of ePROMs and (4) intersecting factors influencing the efficacy of ePROMs. Conclusion: Despite initial reticence, home palliative care patients consider ePROMs as potentially valuable allies monitoring symptoms, enhancing their quality of life, and amplifying their voices on less explored aspects of care. Continuous dialog between healthcare professionals and patients is crucial for addressing patient skepticism about ePROMs and their impact on the human aspect of care.
Indexed as
Identifiers
What 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.