Evidence map›Paper›PMID 41451421›Full record

ArticleFrontiers in neurology2025

Perspectives on digital health and advanced treatment referral in Parkinson's care among Danish neurologists: a mixed methods study.

N L C Karottki, T H Thomsen, P J Jennum, S Bibi, M Sharifi, Ö Coskun, B Biering-Sørensen

Abstract read
In one paragraph

Article in Frontiers in neurology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

7 authors.

N L C KarottkiDepartment of Neurology, Movement Disorder and Pain Research Center, Rigshospitalet, Copenhagen, Denmark.
T H ThomsenDepartment of Neurology, Movement Disorder Clinic, Rigshospitalet, Copenhagen, Denmark.
P J JennumDepartment of Clinical Neurophysiology, Danish Center for Sleep Medicine, Rigshospitalet, Copenhagen, Denmark.
S BibiDepartment of Public Health, Faculty of Health and Medical Science, University of Copenhagen, Copenhagen, Denmark.
M SharifiDepartment of Public Health, Faculty of Health and Medical Science, University of Copenhagen, Copenhagen, Denmark.
Ö CoskunDepartment of Public Health, Faculty of Health and Medical Science, University of Copenhagen, Copenhagen, Denmark.
B Biering-SørensenDepartment of Neurology, Movement Disorder and Pain Research Center, Rigshospitalet, Copenhagen, Denmark.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Advanced treatments such as infusion therapies and deep brain stimulation can improve symptoms in Parkinson's disease, but identifying the right patients at the right time remains challenging. Digital health technologies offer objective, continuous, and remote symptom tracking, making them increasingly relevant in Parkinson's management. This study examines Danish neurologists' perspectives on current referral practices for advanced Parkinson's treatment and explores the perceived advantages and barriers of digital health technologies use in clinical decision-making. Methods: Using a mixed methods approach, we surveyed neurologists involved in Parkinson's management across outpatient hospital settings and private practices. Results: Nineteen neurologists completed the survey, and six participated in semi-structured interviews. Most neurologists (15/19, 79%) believe current referral criteria for advanced treatment need improvement, and only (5/19, 26%) regularly use available decision-support tools. Discussion: The perceived advantages of digital health technologies include improved treatment optimization, real-world symptom tracking, and enhanced patient health literacy. However, concerns include uncertainty about the clinical relevance of measurements, resource constraints, and lack of supporting evidence. Neurologists also expressed reservations about reduced patient interaction and the insufficient tracking of non-motor symptoms in current digital health technologies. Our findings should be considered exploratory but highlight the limitations of current referral strategies for advanced treatment and neurologists' mixed perspectives on digital health technologies, with qualitative insights revealing both optimism and concerns about implementation. Digital health technologies have the potential to aid in identifying people with Parkinson's who may benefit from advanced treatment, and future referral criteria may benefit from incorporating objective digital measurements.

Indexed as

digital healthmixed methodsParkinson’s diseasereferral criteriawearable devices

Identifiers

PMID41451421
PMCPMC12727555

What Socratic 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 Socratic graph.