Evidence map›Paper›PMID 38901021›Full record

ArticleJournal of medical Internet research2024

Patients' and Clinicians' Perceptions of the Clinical Utility of Predictive Risk Models for Chemotherapy-Related Symptom Management: Qualitative Exploration Using Focus Groups and Interviews.

Morven Miller, Lisa McCann, Liane Lewis, Christine Miaskowski, Emma Ream, Andrew Darley, Jenny Harris, Grigorios Kotronoulas, Geir V Berg, Simone Lubowitzki and 15 more

Registry-linked trialAbstract read
In one paragraph

Article in Journal of medical Internet research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02356081 (eSMART), which is not on this map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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.

NCT02356081 nacompletednot on this map

eSMART: Randomised Controlled Trial to Evaluate Electronic Symptom Management Using the Advanced Symptom Management System (ASyMS) Remote Technology for Patients With Cancers

TypeinterventionalSponsorLouise McKeanRan2015 to 2019Enrolled829ConditionsCancerArmsASyMS intervention Group
3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Review
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

25 authors.

Morven MillerComputer & Information Sciences, University of Strathclyde, Glasgow, United Kingdom.ORCID 0000-0003-2368-5682
Lisa McCannComputer & Information Sciences, University of Strathclyde, Glasgow, United Kingdom.ORCID 0000-0002-5322-5778
Liane LewisJohnson and Johnson Medical, Norderstedt, Germany.ORCID 0000-0002-6227-9292
Christine MiaskowskiUniversity of California, San Francisco, CA, United States.ORCID 0000-0001-5170-2027
Emma ReamSchool of Health Sciences, University of Surrey, Guildford, United Kingdom.ORCID 0000-0001-5436-8036
Andrew DarleySchool of Medicine, University College Dublin, Dublin, Ireland.ORCID 0000-0002-4256-0044
Jenny HarrisSchool of Health Sciences, University of Surrey, Guildford, United Kingdom.ORCID 0000-0001-8933-117X
Grigorios KotronoulasSchool of Medicine, Dentistry and Nursing, University of Glasgow, Glasgow, United Kingdom.ORCID 0000-0002-9508-9989
Geir V BergDepartment of Health Sciences, Norwegian University of Science and Technology, Gjøvik, Norway.ORCID 0000-0002-3464-7510
Simone LubowitzkiDepartment of Internal Medicine 1, Division of Hematology and Hemostaseology, Medical University of Vienna, Vienna, Austria.ORCID 0000-0002-0605-8292
Jo ArmesSchool of Health Sciences, University of Surrey, Guildford, United Kingdom.ORCID 0000-0002-7994-0796
Elizabeth PatirakiSchool of Health Sciences, National and Kapodistrian University of Athens, Athens, Greece.ORCID 0000-0002-1420-259X
Eileen FurlongSchool of Nursing, Midwifery and Health Systems, University College Dublin, Dublin, Ireland.ORCID 0000-0002-1985-2620
Patricia FoxSchool of Nursing, Midwifery and Health Systems, University College Dublin, Dublin, Ireland.ORCID 0000-0002-4216-9176
Alexander GaigerDepartment of Internal Medicine 1, Division of Hematology and Hemostaseology, Medical University of Vienna, Vienna, Austria.ORCID 0000-0001-6340-3446
Antonella CardoneEuropean Cancer Patient Coalition, Brussels, Belgium.ORCID 0000-0003-3685-1512
Dawn OrrNHS 24, Glasgow, United Kingdom.ORCID 0000-0003-3891-541X
Adrian FlowerdayDocobo Limited, Leatherhead, United Kingdom.ORCID 0000-0002-3992-1478
Stylianos KatsaragakisSchool of Health Sciences, National and Kapodistrian University of Athens, Athens, Greece.ORCID 0000-0002-2354-9958
Simon SkeneSurrey Clinical Trials Unit, University of Surrey, Guildford, United Kingdom.ORCID 0000-0002-7828-3122
Margaret MooreComputer & Information Sciences, University of Strathclyde, Glasgow, United Kingdom.ORCID 0000-0003-3925-2814
Paul McCroneDepartment of Health Services and Population Research, Institute of Psychiatry Psychology and Neuroscience, King's College London, London, United Kingdom.ORCID 0000-0001-7001-4502
Nicosha De SouzaPopulation Health and Genomics, Medical School, University of Dundee, Dundee, United Kingdom.ORCID 0000-0001-5642-7060
Peter T DonnanPopulation Health and Genomics, Medical School, University of Dundee, Dundee, United Kingdom.ORCID 0000-0001-7828-0610
Roma MaguireComputer & Information Sciences, University of Strathclyde, Glasgow, United Kingdom.ORCID 0000-0001-7935-3447

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundInterest in the application of predictive risk models (PRMs) in health care to identify people most likely to experience disease and treatment-related complications is increasing. In cancer care, these techniques are focused primarily on the prediction of survival or life-threatening toxicities (eg, febrile neutropenia). Fewer studies focus on the use of PRMs for symptoms or supportive care needs. The application of PRMs to chemotherapy-related symptoms (CRS) would enable earlier identification and initiation of prompt, personalized, and tailored interventions. While some PRMs exist for CRS, few were translated into clinical practice, and human factors associated with their use were not reported.

objectiveWe aim to explore patients' and clinicians' perspectives of the utility and real-world application of PRMs to improve the management of CRS.

methodsFocus groups (N=10) and interviews (N=5) were conducted with patients (N=28) and clinicians (N=26) across 5 European countries. Interactions were audio-recorded, transcribed verbatim, and analyzed thematically.

resultsBoth clinicians and patients recognized the value of having individualized risk predictions for CRS and appreciated how this type of information would facilitate the provision of tailored preventative treatments or supportive care interactions. However, cautious and skeptical attitudes toward the use of PRMs in clinical care were noted by both groups, particularly in relationship to the uncertainty regarding how the information would be generated. Visualization and presentation of PRM information in a usable and useful format for both patients and clinicians was identified as a challenge to their successful implementation in clinical care.

conclusionsFindings from this study provide information on clinicians' and patients' perspectives on the clinical use of PRMs for the management of CRS. These international perspectives are important because they provide insight into the risks and benefits of using PRMs to evaluate CRS. In addition, they highlight the need to find ways to more effectively present and use this information in clinical practice. Further research that explores the best ways to incorporate this type of information while maintaining the human side of care is warranted.

trial registrationClinicalTrials.gov NCT02356081; https://clinicaltrials.gov/study/NCT02356081.

Indexed as

Focus GroupsAdultAgedAntineoplastic AgentsAttitude of Health PersonnelFemaleHumansInterviews as TopicMaleMiddle AgedNeoplasmsPerceptionQualitative ResearchRisk AssessmentAntineoplastic Agentschemotherapydigital healtheducationpredictive risk modelsqualitative research methodssymptom clustersymptomstailored information

Identifiers

PMID38901021
PMCPMC11224704

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

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 Socratic graph.