↓ Skip to main content

Quantitative home-based assessment of Parkinson’s symptoms: The SENSE-PARK feasibility and usability study

Overview of attention for article published in BMC Neurology, June 2015
Altmetric Badge

About this Attention Score

  • Good Attention Score compared to outputs of the same age (69th percentile)

Mentioned by

twitter
6 tweeters

Citations

dimensions_citation
61 Dimensions

Readers on

mendeley
244 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Quantitative home-based assessment of Parkinson’s symptoms: The SENSE-PARK feasibility and usability study
Published in
BMC Neurology, June 2015
DOI 10.1186/s12883-015-0343-z
Pubmed ID
Authors

Joaquim J. Ferreira, Catarina Godinho, Ana T. Santos, Josefa Domingos, Daisy Abreu, Raquel Lobo, Nilza Gonçalves, Marcio Barra, Frank Larsen, Øyvind Fagerbakke, Ingvild Akeren, Hilde Wangen, J. Artur Serrano, Peter Weber, Andrea Thoms, Stefan Meckler, Stefan Sollinger, Janet van Uem, Markus A. Hobert, Katrin S. Maier, Helen Matthew, Tom Isaacs, Joy Duffen, Holm Graessner, Walter Maetzler

Abstract

Currently, assessment of symptoms associated with Parkinson's disease is mainly performed in the clinic. However, these assessments have limitations because they provide only a snapshot of the condition. The feasibility and usability of an objective, continuous and relatively unobtrusive system (SENSE-PARK System), which consists of wearable sensors (three worn during the day and one worn at night), a smartphone-based App, a balance board and computer software, was tested 24/7 over 12 weeks in a study including 22 PD patients. During the first four weeks of the study, patients did not get feedback about their performance, during the last eight weeks they did. The study included seven clinical visits with standardized interviews, and regular phone contact. The primary outcome was the number of drop-outs during the study. As secondary outcomes, the Post-Study System Usability Questionnaire (PSSUQ), score and information obtained from the standardized interviews were used to evaluate the usability of the system. All patients completed the study. The participants rated the usability of the SENSE-PARK System with a mean score of 2.67 (±0.49) on the PSSUQ. The interviews revealed that most participants liked using the system and appreciated that it signaled changes in their health condition. This 12 week controlled study demonstrates that the acceptance level of PD patients using the SENSE-PARK System as a home-based 24/7 assessment is very good. Particular emphasis should be given to a user-friendly design. Motivation to wear such a system can be increased by providing direct feedback about the individual health condition.

Twitter Demographics

The data shown below were collected from the profiles of 6 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 244 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 <1%
Portugal 1 <1%
Chile 1 <1%
Germany 1 <1%
Spain 1 <1%
Taiwan 1 <1%
Unknown 237 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 45 18%
Researcher 38 16%
Student > Master 35 14%
Student > Bachelor 27 11%
Student > Doctoral Student 22 9%
Other 41 17%
Unknown 36 15%
Readers by discipline Count As %
Medicine and Dentistry 51 21%
Engineering 26 11%
Nursing and Health Professions 24 10%
Computer Science 23 9%
Neuroscience 21 9%
Other 51 21%
Unknown 48 20%

Attention Score in Context

This research output has an Altmetric Attention Score of 4. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 03 April 2016.
All research outputs
#5,204,530
of 16,932,568 outputs
Outputs from BMC Neurology
#581
of 1,865 outputs
Outputs of similar age
#73,725
of 240,866 outputs
Outputs of similar age from BMC Neurology
#1
of 1 outputs
Altmetric has tracked 16,932,568 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 1,865 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.0. This one has gotten more attention than average, scoring higher than 68% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 240,866 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 69% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them