Evidence map›Paper›PMID 39838709›Full record

Trial reportEuropean journal of neurology2025

Cost-utility analysis of a coadjutant telemedicine intervention for fall prevention in Parkinson's disease.

Esther Cubo, Mohammad Rohani, Negin Eissazade, Álvaro Garcia-Bustillo, José Miguel Ramírez-Sanz, José Luis Garrido-Labrador, Alicia Olivares-Gil, Florita Valiñas-Sieiro Rn, Marta Allende-Río Rn, Josefa Gonzalez-Santos and 6 more

Abstract readRandomized Controlled Trial
In one paragraph

Trial report in European journal of neurology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 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, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
  3. Trial
  4. Article
  5. Televisits for Parkinson's disease: benefits and barriers.Journal of neural transmission (Vienna, Austria : 1996) · 2026
    Review
  6. Review
  7. 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

16 authors.

Esther CuboNeurology Department, Hospital Universitario de Burgos, Burgos, Spain.ORCID 0000-0003-0018-1182
Mohammad RohaniSkull Base Research Centre, Five Senses Health Institute, Iran University of Medical Sciences, Tehran, Iran.
Negin EissazadeBrain and Cognition Clinic, Institute for Cognitive Sciences Studies, Tehran, Iran.
Álvaro Garcia-BustilloFacultad de Ciencias de la Salud Universidad de Burgos, Burgos, Spain.
José Miguel Ramírez-SanzResearch Unit, Hospital Universitario Burgos, Burgos, Spain.
José Luis Garrido-LabradorResearch Unit, Hospital Universitario Burgos, Burgos, Spain.
Alicia Olivares-GilResearch Unit, Hospital Universitario Burgos, Burgos, Spain.
Florita Valiñas-Sieiro RnNeurology Department, Hospital Universitario de Burgos, Burgos, Spain.
Marta Allende-Río RnNeurology Department, Hospital Universitario de Burgos, Burgos, Spain.
Josefa Gonzalez-SantosFacultad de Ciencias de la Salud Universidad de Burgos, Burgos, Spain.
Jerónimo Javier Gonzalez-BernalFacultad de Ciencias de la Salud Universidad de Burgos, Burgos, Spain.
José TrejoNeurology Department, Hospital Universitario de Burgos, Burgos, Spain.
Sara Calvo-SimalFacultad de Ciencias de la Salud Universidad de Burgos, Burgos, Spain.
José Francisco Diez-PastorResearch Unit, Hospital Universitario Burgos, Burgos, Spain.
David García-GarcíaResearch Unit, Hospital Universitario Burgos, Burgos, Spain.
Álvar Arnaiz-GonzálezResearch Unit, Hospital Universitario Burgos, Burgos, Spain.

Funding

Instituto de Salud Carlos III PI19/00670
6 · The paper itself

Abstract

background and purposeAdopting telemedicine (TM) enables improved access to specialized care and reduces barriers. The aim was to assess the cost-utility of a coadjutant multidisciplinary TM programme for fall prevention compared to standard in-office visits for individuals with Parkinson's disease (PD).

methodsThis was an 8-month single-blind randomized controlled trial. TM and control groups received in-office visits and standard management care at baseline, 4 and 8 months. In addition, the TM group received remote multidisciplinary visits for 4 months. Gait, motor and non-motor symptoms, daily living activities, balance and frailty were measured using PD-recommended rating scales and wearable sensors. Clinical characteristics were compared at each visit using baseline scores, gender and age as covariates. The incremental cost-effectiveness ratio (ICER) and quality-adjusted life years (QALYs) were calculated at each visit.

resultsFifty patients were included: 25 patients in the TM group (48% males, mean age 71.1 ± 9.0 years) and 25 patients in the control group (52% males, mean age 69.2 ± 9.4 years). Compared to controls, in the TM group similar QALYs were found but, in contrast, significant improvements in daily living activities, depression, apathy, freezing of gait, balance, quality of life and frailty (all p values <0.05). The use of coadjutant TM intervention in addition to in-office visits was efficient for depression, apathy, freezing of gait, balance and frailty with ICERs, ranging from 91.55 € for non-motor symptoms to 1677.4 € for frailty.

conclusionsTelemedicine could be considered an efficient coadjutant intervention for PD, especially for non-motor symptoms, enhancing health outcomes and accessibility.

Indexed as

Accidental FallsCost-Benefit AnalysisParkinson DiseaseTelemedicineActivities of Daily LivingAgedAged, 80 and overFemaleHumansMaleMiddle AgedPostural BalanceQuality-Adjusted Life YearsSingle-Blind Methodcost‐effectiveness analysishealth expendituresParkinson's diseasetelemedicine

Identifiers

PMID39838709
PMCPMC11751255

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

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.