McCluskey, Annie, Ada, Louise, Dean, Catherine M., and Vargas, Janine (2012) Feasibility and Validity of a Wearable GPS Device for Measuring Outings after Stroke. International Scholarly Research Notices, 2012. 823180.

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Abstract

Aim: Self-report diaries are a low-cost method of measuring community participation but may be inaccurate, while the “gold standard,” observation is time consuming and costly. This study aimed to investigate the feasibility and validity of a global positioning system (GPS) for measuring outings after stroke.

Design: Cross-sectional cohort study. Methods. Twenty ambulant people with stroke wore a GPS device and kept a diary for 7 days, and 18 were observed for half a day. We recorded recruitment rate, user perceptions, and data extraction time. GPS data were analysed against Google maps. Percent exact agreement (PEA) with observation was calculated for GPS and diary.

Results: Of 23 eligible participants, 20 consented (mean 3.6 years after stroke). GPS data recovery was high (87%). Some participants had difficulty operating the on/off switch and reading the small screen. Data extraction took an average of 5 hours per participant. PEA with observation was high for number of outings (GPS 94%; diary 89%) but lower for purpose of outings (GPS 71%; diary 82%).

Conclusions: The GPS device and diary were both feasible and valid for measuring outings after stroke. Simultaneous use of GPS and diaries is recommended for comprehensive analysis of outings.

Item ID:	67922
Item Type:	Article (Research - C1)
ISSN:	2356-7872
Copyright Information:	Copyright © 2012 Annie McCluskey et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Date Deposited:	13 Nov 2023 05:05
FoR Codes:	42 HEALTH SCIENCES > 4201 Allied health and rehabilitation science > 420109 Rehabilitation @ 50% 46 INFORMATION AND COMPUTING SCIENCES > 4605 Data management and data science > 460599 Data management and data science not elsewhere classified @ 50%
SEO Codes:	20 HEALTH > 2002 Evaluation of health and support services > 200202 Evaluation of health outcomes @ 100%
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