Evidence map›Paper›PMID 36579146›Full record

ArticleBMJ surgery, interventions, & health technologies2022

Integration of a personalised mobile health (mHealth) application into the care of patients with brain tumours: proof-of-concept study (IDEAL stage 1).

Andrew Gvozdanovic, Felix Jozsa, Naomi Fersht, Patrick James Grover, Georgina Kirby, Neil Kitchen, Riccardo Mangiapelo, Andrew McEvoy, Anna Miserocchi, Rayna Patel and 4 more

Abstract read
In one paragraph

Article in BMJ surgery, interventions, & health technologies, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 2 pooled it
–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

7 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Review
  6. Article
  7. 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

14 authors.

Andrew GvozdanovicVictor Horsley Department of Neurosurgery, National Hospital for Neurology and Neurosurgery, London, UK.ORCID 0000-0001-5768-2856
Felix JozsaVictor Horsley Department of Neurosurgery, National Hospital for Neurology and Neurosurgery, London, UK.ORCID 0000-0001-8960-6049
Naomi FershtDepartment of Oncology, University College London Hospitals NHS Foundation Trust, London, UK.
Patrick James GroverVictor Horsley Department of Neurosurgery, National Hospital for Neurology and Neurosurgery, London, UK.
Georgina KirbyVine Health, London, UK.
Neil KitchenVictor Horsley Department of Neurosurgery, National Hospital for Neurology and Neurosurgery, London, UK.
Riccardo MangiapeloVine Health, London, UK.
Andrew McEvoyVictor Horsley Department of Neurosurgery, National Hospital for Neurology and Neurosurgery, London, UK.
Anna MiserocchiVictor Horsley Department of Neurosurgery, National Hospital for Neurology and Neurosurgery, London, UK.
Rayna PatelVine Health, London, UK.
Lewis ThorneVictor Horsley Department of Neurosurgery, National Hospital for Neurology and Neurosurgery, London, UK.
Norman WilliamsUniversity College London Division of Surgery and Interventional Science, London, UK.
Michael KosminDepartment of Oncology, University College London Hospitals NHS Foundation Trust, London, UK.
Hani J MarcusVictor Horsley Department of Neurosurgery, National Hospital for Neurology and Neurosurgery, London, UK.ORCID 0000-0001-8000-392X

Funding

Wellcome Trust
6 · The paper itself

Abstract

Objectives: Brain tumours lead to significant morbidity including a neurocognitive, physical and psychological burden of disease. The extent to which they impact the multiple domains of health is difficult to capture leading to a significant degree of unmet needs. Mobile health tools such as Vinehealth have the potential to identify and address these needs through real-world data generation and delivery of personalised educational material and therapies. We aimed to establish the feasibility of Vinehealth integration into brain tumour care, its ability to collect real-world and (electronic) patient-recorded outcome (ePRO) data, and subjective improvement in care. Design: A mixed-methodology IDEAL stage 1 study. Setting: A single tertiary care centre. Participants: Six patients consented and four downloaded and engaged with the mHealth application throughout the 12 weeks of the study. Main outcome measures: Over a 12-week period, we collected real-world and ePRO data via Vinehealth. We assessed qualitative feedback from mixed-methodology surveys and semistructured interviews at recruitment and after 2 weeks. Results: 565 data points were captured including, but not limited to: symptoms, activity, well-being and medication. EORTC QLQ-BN20 and EQ-5D-5L completion rates (54% and 46%) were impacted by technical issues; 100% completion rates were seen when ePROs were received. More brain cancer tumour-specific content was requested. All participants recommended the application and felt it improved care. Conclusions: Our findings indicate value in an application to holistically support patients living with brain cancer tumours and established the feasibility and safety of further studies to more rigorously assess this.

Indexed as

health care quality, access, and evaluationhealth technologypatient outcome assessmentprocess assessment (health care)

Identifiers

PMID36579146
PMCPMC9791405

What OpenQuestion holds

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LicenceCC BY
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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.