scholarly journals Improving self-management for persons with Parkinson's disease through education focusing on management of daily life: Patients’ and relatives’ experience of the Swedish National Parkinson School

2018 ◽  
Vol 27 (19-20) ◽  
pp. 3719-3728 ◽  
Author(s):  
Carina Hellqvist ◽  
Nil Dizdar ◽  
Peter Hagell ◽  
Carina Berterö ◽  
Märta Sund-Levander
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Daily Life ◽  
Self Management

scholarly journals Designing socially acceptable mHealth technologies for Parkinson's disease self-management

2020 ◽  
Vol 12 (3) ◽  
pp. 163-178
Author(s):  
Sylvie Grosjean ◽  
Eliza Bate ◽  
Tiago Mestre
Keyword(s):  
Systematic Review ◽  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Disease Management ◽  
Social Factors ◽  
Daily Life ◽  
Self Management ◽  
Financial Factors ◽  
Qualitative Systematic Review

Mobile health (mHealth) technologies for Parkinson’s disease management have developed quickly in recent years. Research in this area typically focuses on evaluation of the accuracy and reliability of the technology, often to the exclusion of social factors and patient perspectives. This qualitative systematic review aimed to investigate the barriers to and facilitators of use mHealth technologies for disease self-management from the perspective of People with Parkinson's (PwP). Findings revealed that technological, as well as social, and financial factors are key considerations for mHealth design, to ensure its acceptability, and long-term use by PwP. This study proposes that a co-design approach could contribute to the design and development of mHealth that are socially acceptable to PwP, and enable their successful long-term use in the context of daily life.

scholarly journals Validation of IMU-based gait event detection during curved walking and turning in older adults and Parkinson’s Disease patients

2021 ◽  
Vol 18 (1) ◽  
Author(s):  
Robbin Romijnders ◽  
Elke Warmerdam ◽  
Clint Hansen ◽  
Julius Welzel ◽  
Gerhard Schmidt ◽  
...  
Keyword(s):  
Older Adults ◽  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Daily Life ◽  
Neurological Diseases ◽  
Detection Performance ◽  
Measurement Unit ◽  
Straight Line ◽  
Optical Motion ◽  
Task Conditions

Abstract Background Identification of individual gait events is essential for clinical gait analysis, because it can be used for diagnostic purposes or tracking disease progression in neurological diseases such as Parkinson’s disease. Previous research has shown that gait events can be detected from a shank-mounted inertial measurement unit (IMU), however detection performance was often evaluated only from straight-line walking. For use in daily life, the detection performance needs to be evaluated in curved walking and turning as well as in single-task and dual-task conditions. Methods Participants (older adults, people with Parkinson’s disease, or people who had suffered from a stroke) performed three different walking trials: (1) straight-line walking, (2) slalom walking, (3) Stroop-and-walk trial. An optical motion capture system was used a reference system. Markers were attached to the heel and toe regions of the shoe, and participants wore IMUs on the lateral sides of both shanks. The angular velocity of the shank IMUs was used to detect instances of initial foot contact (IC) and final foot contact (FC), which were compared to reference values obtained from the marker trajectories. Results The detection method showed high recall, precision and F1 scores in different populations for both initial contacts and final contacts during straight-line walking (IC: recall $$=$$ = 100%, precision $$=$$ = 100%, F1 score $$=$$ = 100%; FC: recall $$=$$ = 100%, precision $$=$$ = 100%, F1 score $$=$$ = 100%), slalom walking (IC: recall $$=$$ = 100%, precision $$\ge$$ ≥ 99%, F1 score $$=$$ = 100%; FC: recall $$=$$ = 100%, precision $$\ge$$ ≥ 99%, F1 score $$=$$ = 100%), and turning (IC: recall $$\ge$$ ≥ 85%, precision $$\ge$$ ≥ 95%, F1 score $$\ge$$ ≥ 91%; FC: recall $$\ge$$ ≥ 84%, precision $$\ge$$ ≥ 95%, F1 score $$\ge$$ ≥ 89%). Conclusions Shank-mounted IMUs can be used to detect gait events during straight-line walking, slalom walking and turning. However, more false events were observed during turning and more events were missed during turning. For use in daily life we recommend identifying turning before extracting temporal gait parameters from identified gait events.

scholarly journals Laboratory versus daily life gait characteristics in patients with multiple sclerosis, Parkinson’s disease, and matched controls

2020 ◽  
Vol 17 (1) ◽  
Author(s):  
Vrutangkumar V. Shah ◽  
James McNames ◽  
Martina Mancini ◽  
Patricia Carlson-Kuhta ◽  
Rebecca I. Spain ◽  
...  
Keyword(s):  
Multiple Sclerosis ◽  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Neurological Disease ◽  
Inertial Sensors ◽  
Daily Life ◽  
Area Under The Curve ◽  
Gait Characteristics ◽  
Discrete Moment ◽  
Healthy Control

Abstract Background and purpose  Recent findings suggest that a gait assessment at a discrete moment in a clinic or laboratory setting may not reflect functional, everyday mobility. As a step towards better understanding gait during daily life in neurological populations, we compared gait measures that best discriminated people with multiple sclerosis (MS) and people with Parkinson’s Disease (PD) from their respective, age-matched, healthy control subjects (MS-Ctl, PD-Ctl) in laboratory tests versus a week of daily life monitoring. Methods  We recruited 15 people with MS (age mean ± SD: 49 ± 10 years), 16 MS-Ctl (45 ± 11 years), 16 people with idiopathic PD (71 ± 5 years), and 15 PD-Ctl (69 ± 7 years). Subjects wore 3 inertial sensors (one each foot and lower back) in the laboratory followed by 7 days during daily life. Mann–Whitney U test and area under the curve (AUC) compared differences between PD and PD-Ctl, and between MS and MS-Ctl in the laboratory and in daily life. Results  Participants wore sensors for 60–68 h in daily life. Measures that best discriminated gait characteristics in people with MS and PD from their respective control groups were different between the laboratory gait test and a week of daily life. Specifically, the toe-off angle best discriminated MS versus MS-Ctl in the laboratory (AUC [95% CI] = 0.80 [0.63–0.96]) whereas gait speed in daily life (AUC = 0.84 [0.69–1.00]). In contrast, the lumbar coronal range of motion best discriminated PD versus PD-Ctl in the laboratory (AUC = 0.78 [0.59–0.96]) whereas foot-strike angle in daily life (AUC = 0.84 [0.70–0.98]). AUCs were larger in daily life compared to the laboratory. Conclusions Larger AUC for daily life gait measures compared to the laboratory gait measures suggest that daily life monitoring may be more sensitive to impairments from neurological disease, but each neurological disease may require different gait outcome measures.

mHealth Technologies towards Parkinson's Disease Detection and Monitoring in Daily Life: A Comprehensive Review

2020 ◽  
pp. 1-1
Author(s):  
Hanbin Zhang ◽  
Chen Song ◽  
Aditya Singh Rathore ◽  
Mingchun Huang ◽  
Yuan Zhang ◽  
...  
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Daily Life ◽  
Disease Detection ◽  
Comprehensive Review

Factors supporting self-management in Parkinson’s disease: implications for nursing practice

2008 ◽  
Vol 3 (3) ◽  
pp. 187-193 ◽  
Author(s):  
Lynn Chenoweth ◽  
Robyn Gallagher ◽  
June N. Sheriff ◽  
Judith Donoghue ◽  
Jane Stein-Parbury
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Nursing Practice ◽  
Self Management

Nursing Research in Parkinson’s Disease From 2006 to 2015

2016 ◽  
Vol 26 (2) ◽  
pp. 142-156 ◽  
Author(s):  
Ju Young Shin ◽  
Barbara Habermann
Keyword(s):  
Quality Of Life ◽  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Family Caregiving ◽  
Symptom Management ◽  
Family Members ◽  
Theoretical Models ◽  
Self Management ◽  
Nursing Research

Most people with Parkinson’s disease (PD) reside in their homes with their family members. Nurses are in a good position to partner with people with PD and their family members for better self-management of the disease and improved quality of life. The purpose of this systematic review was to assess the state of the science of nursing research related to PD during the 10-year period, 2006 to 2015. A total of 27 studies were included in this review. Family caregiving was the most studied topic, followed by symptom management/medication adherence, quality of life, end-of-life/palliative care, and functional status/improving function. Recommendations for future studies in PD include (a) developing and testing interventions based on theoretical models in the areas of self-management, symptom management, and function improvement in people with PD and for caregivers caring for people with advanced stage PD, and (b) building programs of research with interprofessional teams.

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