Evidence map›Paper›PMID 34398785›Full record

ArticleJMIR formative research2021

Digital Patient-Reported Outcome Measures for Monitoring of Patients on Cancer Treatment: Cross-sectional Questionnaire Study.

Mayuran Ananth Sivanandan, Catherine Sharma, Pippa Bullard, Judith Christian

Abstract read
In one paragraph

Article in JMIR formative research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from 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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

10 citing papers in PubMed.

  1. Trial
  2. Article
  3. Article
  4. Quality of life in oncology drug approvals: evidence from Swiss decisions in relation to global regulatory trends.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2026
    Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Digital Health Applications in Oncology: An Opportunity to Seize.Journal of the National Cancer Institute · 2022
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Mayuran Ananth Sivanandan *Department of Oncology and Radiotherapy, Nottingham University Hospitals NHS Trust, Nottingham, United Kingdom.ORCID https://orcid.org/0000-0001-9417-3348
Catherine SharmaDepartment of Oncology and Radiotherapy, Nottingham University Hospitals NHS Trust, Nottingham, United Kingdom.ORCID https://orcid.org/0000-0002-2157-0833
Pippa BullardDepartment of Oncology and Radiotherapy, Nottingham University Hospitals NHS Trust, Nottingham, United Kingdom.ORCID https://orcid.org/0000-0003-1105-7101
Judith ChristianDepartment of Oncology and Radiotherapy, Nottingham University Hospitals NHS Trust, Nottingham, United Kingdom.ORCID https://orcid.org/0000-0001-8490-3984

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundOncology has been facing increasing outpatient activity associated with higher cancer incidence, better survival rates, and more treatment options. Innovative technological solutions could help deal with this increasing demand. Using digital patient-reported outcome measures (PROMs) to identify patients who need a face-to-face (FTF) appointment is a potential approach.

objectiveThis study aims to assess the feasibility of digital PROM questionnaires to enable remote symptom monitoring for patients undergoing cancer treatment and their ability to highlight the requirement for an FTF appointment.

methodsThis study was performed at a tertiary oncology center between December 2018 and February 2019. The Common Terminology Criteria for Adverse Events were adapted into patient-friendly language to form the basis of treatment-specific digital questionnaires covering specific cancer drugs and radiotherapy treatments. These treatment-specific digital PROM questionnaires were scored by both patients and their clinicians during FTF appointments. Patients and clinicians did not see each other's scored PROMs. Agreement between patients and clinicians was assessed using descriptive statistics. Patient and staff feedback was also obtained.

resultsIn total, 90 patients participated in the study across 10 different treatment pathways. By comparing paired patient and clinician responses, the sensitivity of the patient-completed questionnaires in correctly highlighting the need for FTF review was 94% (44/47), and all patients with severe or grade 3+ symptoms were identified (6/6, 100%). Patient-completed PROMs appropriately revealed that 29% (26/90) of the participating patients did not need FTF review based on their symptoms alone. Certain oncological treatment pathways, such as immunotherapy, were found to have a larger proportion of patients with minimal symptoms than others, such as conventional chemotherapy. Patient and staff feedback showed high approval of digital PROMs and their potential for use in remote monitoring.

conclusionsDigital PROM questionnaires can feasibly highlight the need for FTF review in oncology clinics for treatment. Their use with specific treatments could safely reduce the requirement for FTF care, and future work should evaluate their application in the remote monitoring of patients.

Indexed as

chemotherapydigital healthdigital technologyimmunotherapymobile healthoncologyoutpatientspatient-reported outcome measurespatient-reported outcomesradiotherapyremote monitoringtoxicity

Identifiers

PMID34398785
PMCPMC8398740

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Registered trials

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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.