Evidence map›Paper›PMID 36958772›Full record

ArticleBMJ open2023

Impact of digital technologies on self-efficacy in people with Parkinson's: a scoping review protocol.

Andrew Michael Hall, S Aroori, Camille B Carroll, Edward Meinert, Victoria Allgar

Abstract read
In one paragraph

Article in BMJ open, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

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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

5 authors.

Andrew Michael HallFaculty of Health, University of Plymouth, Plymouth, UK andrew.hall@plymouth.ac.uk.ORCID 0000-0003-1719-5193
S ArooriPeninsula Clinical Trials Unit, University of Plymouth, Plymouth, UK.
Camille B CarrollFaculty of Medicine and Dentistry, University of Plymouth, Plymouth, UK.ORCID 0000-0001-7472-953X
Edward MeinertFaculty of Health, Centre for Health Technology, University of Plymouth, Plymouth, UK.ORCID 0000-0003-2484-3347
Victoria AllgarPeninsula Clinical Trials Unit, University of Plymouth, Plymouth, UK.ORCID 0000-0002-5228-2623

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionParkinson's disease (PD) is the second most common neurological disease globally, for which currently no one definitive cause or cure exists. Estimates suggest that 145 000 people with Parkinson's (PwP) live in the UK. PD presents with motor and non-motor symptoms fluctuating significantly in and between individuals continually throughout the day. PD adversely affects activities of daily living, quality of life and well-being. Self-efficacy is an important belief to improve for PwP as it enables the individual to develop confidence in their ability to exert control over their own motivation, behaviour and social environment. This scoping review aims to identify digital technologies which have been shown to positively impact on promoting self-efficacy in PwP. METHODS AND ANALYSES: Six bibliographic databases MEDLINE, PsycINFO, Web of Science, CINAHL, EMBASE and IEEE Xplore will be searched from the date of their inception to the May 2023. The primary outcome will be to identify interventions which are associated with a change in self-efficacy in PwP to enable positive and negative outcomes, as well as safety to be evaluated. The secondary outcomes of this review will focus on the intervention's proposed mechanisms for success, particularly looking at the impact they had on positive behaviour change(s) or modification(s) on study participants. ETHICS AND DISSEMINATION: This scoping review will not require ethical approval as it will use data collected from previously published primary studies. The findings of this review will be published in peer-reviewed journals and widely disseminated.

Indexed as

Parkinson DiseaseActivities of Daily LivingDigital TechnologyHumansQuality of LifeScoping Reviews as TopicSelf Efficacyadult neurologyParkinson’s diseasetelemedicine

Identifiers

PMID36958772
PMCPMC10039994

What OpenQuestion holds

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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.