Evidence map›Paper›PMID 25677954›Full record

ArticleJournal of medical systems2015

A meta-synthesis of behavioral outcomes from telemedicine clinical trials for type 2 diabetes and the Clinical User-Experience Evaluation (CUE).

Sakib Jalil, Trina Myers, Ian Atkinson

Registry-linked trialAbstract read
PubMed Publisher
In one paragraph

Article in Journal of medical systems, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05164783 (Multicenter Implementation of E-monitoring in Parkinson's Disease), which is not on this map. Cited by 19 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 5 pooled it
8.5field-weighted citation impact, top 2% of its field
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.

NCT05164783 naactive not recruitingnot on this mapstarted 2021, after this paper: background citation

Multicenter Implementation of E-monitoring in Parkinson's Disease

TypeinterventionalSponsorZuyderland Medisch CentrumRan2021 to 2025Enrolled258ConditionsParkinson DiseaseArmsSanacoach Parkinson (SCP)
3 · Its place in the literature

Who cites it

19 citing papers in PubMed, 5 syntheses or guidelines pooled it, 48 citations in OpenAlex.

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  4. Digital Patient Experience: Umbrella Systematic Review.Journal of medical Internet research · 2022
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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

3 authors at 1 institution in 1 country.

Sakib JalilDiscipline of Information Technology, James Cook University, Townsville, QLD, 4811, Australia.
Trina Myers
Ian Atkinson
James Cook University · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A worldwide demographic shift is in progress and the aged population proportion is projected to more than double across the next four decades. Our current healthcare models may not be adequate to handle this shift in demography, which may have serious consequences for the ageing population who are more prone to chronic diseases. One proposed remediation is to provide in-home assisted healthcare with technology-intervened approaches. Telemedicine, telehealth, e-health are paradigms found in scientific literature that provide clinical treatment through a technology intervention. In evidence-based medical science, these technology interventions are evaluated through clinical trials, which are targeted to measure improvements in medical conditions and the treatment's cost effectiveness. However, effectiveness of a technology also depends on the interaction pattern between the technology and its' users, especially the patients. This paper presents (1) a meta-synthesis of clinical trials for technology-intervened treatments of type 2 diabetes and (2) the Clinical User-Experience Evaluation (CUE). CUE is a recommendation for future telemedicine clinical trials that focuses on the patient as the user from Human-Computer Interaction (HCI) perspective and was developed as part of this research. The clinical trials reviewed were interpreted from a technology perspective and the non-medical or non-biological improvements of the users (patients) rather than the medical outcome. Results show that technology-intervened treatments provide positive behavior changes among patients and are potentially highly beneficial for chronic illness management such as type 2 diabetes. The results from the CUE method show how it complements clinical trials to capture patients' interaction with a technology.

Indexed as

Chronic DiseaseClinical Trials as TopicCost-Benefit AnalysisDiabetes Mellitus, Type 2Evidence-Based PracticeHumansPatient ComplianceQuality of LifeSelf CareTelemedicineUser-Computer Interface

Identifiers

PMID25677954
OpenAlexW1966551164

What OpenQuestion holds

Textmetadata
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 OpenQuestion graph.