Evidence map›Paper›PMID 31795384›Full record

ArticleSensors (Basel, Switzerland)2019

A Secure Occupational Therapy Framework for Monitoring Cancer Patients' Quality of Life.

Md Abdur Rahman, Md Mamunur Rashid, Julien Le Kernec, Bruno Philippe, Stuart J Barnes, Francesco Fioranelli, Shufan Yang, Olivier Romain, Qammer H Abbasi, George Loukas and 1 more

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Information management research and practice in the post-COVID-19 world.International journal of information management · 2020
    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

11 authors.

Md Abdur RahmanDepartment of Cyber Security and Forensic Computing, College of Computer and Cyber Sciences (C3S), University of Prince Mugrin, Madinah 41499, Saudi Arabia.ORCID 0000-0002-4105-0368
Md Mamunur RashidConsumer and Organisational Digital Analytics (CODA) Research Centre, King's Business School, King's College, London WC2B 4BG, UK.
Julien Le KernecJames Watt School of Engineering, University of Glasgow, Glasgow G12 8QQ, UK.ORCID 0000-0003-2124-6803
Bruno PhilippePneumology Department, René Dubos Hospital, 95300 Pontoise, France.
Stuart J BarnesConsumer and Organisational Digital Analytics (CODA) Research Centre, King's Business School, King's College, London WC2B 4BG, UK.
Francesco FioranelliJames Watt School of Engineering, University of Glasgow, Glasgow G12 8QQ, UK.
Shufan YangJames Watt School of Engineering, University of Glasgow, Glasgow G12 8QQ, UK.ORCID 0000-0003-0531-2903
Olivier RomainLaboratoire ETIS, Université Paris Seine, Université Cergy-Pontoise, ENSEA, CNRS, UMR8051, 95000 Paris, France.ORCID 0000-0002-2172-1865
Qammer H AbbasiJames Watt School of Engineering, University of Glasgow, Glasgow G12 8QQ, UK.ORCID 0000-0002-7097-9969
George LoukasComputing and Mathematical Sciences, University of Greenwich, London SE1 09LS, UK.
Muhammad ImranJames Watt School of Engineering, University of Glasgow, Glasgow G12 8QQ, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Once diagnosed with cancer, a patient goes through a series of diagnosis and tests, which are referred to as "after cancer treatment". Due to the nature of the treatment and side effects, maintaining quality of life (QoL) in the home environment is a challenging task. Sometimes, a cancer patient's situation changes abruptly as the functionality of certain organs deteriorates, which affects their QoL. One way of knowing the physiological functional status of a cancer patient is to design an occupational therapy. In this paper, we propose a blockchain and off-chain-based framework, which will allow multiple medical and ambient intelligent Internet of Things sensors to capture the QoL information from one's home environment and securely share it with their community of interest. Using our proposed framework, both transactional records and multimedia big data can be shared with an oncologist or palliative care unit for real-time decision support. We have also developed blockchain-based data analytics, which will allow a clinician to visualize the immutable history of the patient's data available from an in-home secure monitoring system for a better understanding of a patient's current or historical states. Finally, we will present our current implementation status, which provides significant encouragement for further development.

Indexed as

Monitoring, PhysiologicOccupational TherapyQuality of LifeBig DataHumansNeoplasmsOncologistsPalliative CarePatientscyber-physical occupational therapy systemdistributed medical big datahealth IoT sensorsquality of lifetherapeutic kinematic data

Identifiers

PMID31795384
PMCPMC6928807

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

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.