Dataset Information

Smartphone-Based Body Location-Independent Functional Mobility Analysis in Patients with Parkinson's Disease: A Step towards Precise Medicine.

ABSTRACT: Ecological evaluation of gait using mobile technologies provides crucial information regarding the evolution of symptoms in Parkinson's disease (PD). However, the reliability and validity of such information may be influenced by the smartphone's location on the body. This study analyzed how the smartphone location affects the assessment of PD patients' gait in a free-living environment. Twenty PD patients (mean ± SD age, 64.3 ± 10.6 years; 9 women (45%) performed 3 trials of a 250 m outdoor walk using smartphones in 5 different body locations (pants pocket, belt, hand, shirt pocket, and a shoulder bag). A method to derive gait-related metrics from smartphone sensors is presented, and its reliability is evaluated between different trials as well as its concurrent validity against optoelectronic and smartphone criteria. Excellent relative reliability was found with all intraclass correlation coefficient values above or equal to 0.85. High absolute reliability was observed in 21 out of 30 comparisons. Bland-Altman analysis revealed a high level of agreement (LoA between 4.4 and 17.5%), supporting the use of the presented method. This study advances the use of mobile technology to accurately and reliably quantify gait-related metrics from PD patients in free-living walking regardless of the smartphone's location on the body.

SUBMITTER: Vila-Vicosa D

PROVIDER: S-EPMC9143184 | biostudies-literature | 2022 May

REPOSITORIES: biostudies-literature

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Smartphone-Based Body Location-Independent Functional Mobility Analysis in Patients with Parkinson's Disease: A Step towards Precise Medicine.

Vila-Viçosa Diogo D Leitão Mariana M Bouça-Machado Raquel R Pona-Ferreira Filipa F Alberto Sara S Ferreira Joaquim J JJ Matias Ricardo R

Journal of personalized medicine 20220519 5

Ecological evaluation of gait using mobile technologies provides crucial information regarding the evolution of symptoms in Parkinson's disease (PD). However, the reliability and validity of such information may be influenced by the smartphone's location on the body. This study analyzed how the smartphone location affects the assessment of PD patients' gait in a free-living environment. Twenty PD patients (mean ± SD age, 64.3 ± 10.6 years; 9 women (45%) performed 3 trials of a 250 m outdoor walk ...[more]

PMID: 35629247

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Project description:BackgroundUnderstanding the factors that influence hospital mobility, especially in the context of a heightened focus on falls prevention, is needed to improve care.ObjectiveThis qualitative study uses a socioecological framework to explore factors that influence hospital mobility in older adults.DesignQualitative research PARTICIPANTS: Semi-structured interviews and focus groups were conducted with medically-ill hospitalized older adults (n = 19) and providers (hospitalists, nurses, and physical and occupational therapists (n = 48) at two hospitals associated with an academic health system.ApproachInterview and focus group guides included questions on perceived need for mobility, communication about mobility, hospital mobility culture, and awareness of patients' walking activity. Data were analyzed thematically and mapped onto the constructs of the socioecological model.Key resultsA consistent theme among patients and providers was that "mobility is medicine." Categories of factors reported to influence hospital walking activity included intrapersonal factors (patients' health status, fear of falls), interpersonal factors (patient-provider communication about mobility), organizational factors (clarity about provider roles and responsibilities, knowledge of safe patient handling, reliance on physical therapy for mobility), and environmental factors (falls as a never event, patient geographical locations on hospital units). Several of these factors were identified as potentially modifiable targets for intervention. Patients and providers offered recommendations for improving awareness of patient's ambulatory activity, assigning roles and responsibility for mobility, and enhancing education and communication between patients and providers across disciplines.ConclusionPatients and providers identified salient factors for future early mobility initiatives targeting hospitalized older adults. Consideration of these factors across all stages of intervention development and implementation will enhance impact and sustainability.

Dataset Information

Smartphone-Based Body Location-Independent Functional Mobility Analysis in Patients with Parkinson's Disease: A Step towards Precise Medicine.

Publications

Smartphone-Based Body Location-Independent Functional Mobility Analysis in Patients with Parkinson's Disease: A Step towards Precise Medicine.

Similar Datasets

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