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Figueiredo PRP, Silva LP, Nóbrega RADA, Coster WJ, Sampaio RF, Brandão MDB, Mancini MC. Geographic intelligence to investigate community participation: a scoping review. Disabil Rehabil 2023; 45:4503-4516. [PMID: 36503323 DOI: 10.1080/09638288.2022.2154859] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2022] [Accepted: 11/30/2022] [Indexed: 12/14/2022]
Abstract
PURPOSE To understand the applicability and unique contributions of global positioning system (GPS) and geographic information system (GIS) technologies to investigate individuals' participation in the community. METHODS A scoping review was conducted to summarize studies that employed GPS and/or GIS to assess community participation. Systematic literature searches were performed using nine electronic databases, up to April 2022. Two independent reviewers screened studies for eligibility and extracted data from the selected studies. RESULTS The searches retrieved 628 articles, of which 36 met the inclusion criteria. In 31 studies, a GPS unit or GPS-enabled device monitored the community mobility of individuals with different health conditions. Tracking periods varied from five hours to 30 consecutive days. The spatiotemporal parameters obtained from satellite-based data provided information about individuals' presence in the community. Most studies combined GPS with other measuring tools (self-report diaries/questionnaires, qualitative interviews) to capture a broader description of community participation. CONCLUSIONS GPS and GIS are viable approaches for advancing research as they provide unique information about community participation not easily captured by other methods. The combination of available methods comprehensively address the physical and social dimensions of this construct.IMPLICATIONS FOR REHABILITATIONGlobal positioning system (GPS) and geographic information system (GIS) technology allows direct and real-time quantification of patterns of individuals' community mobility.The geographic area where individuals participate in daily living activities complements information from self-report diaries/questionnaires.Combining GPS technology with self-report diaries/questionnaires allows a broader description of individuals' community participation, addressing respectively both its physical and social dimensions.Knowledge of individuals' access to and involvement in community locations/situations may help therapists design interventions to improve community participation.
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Affiliation(s)
| | | | | | - Wendy Jane Coster
- Department of Occupational Therapy, College of Health & Rehabilitation Sciences: Sargent College, Boston University, Boston, MA, USA
| | - Rosana Ferreira Sampaio
- Graduate Program in Rehabilitation Sciences, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil
| | - Marina de Brito Brandão
- Department of Occupational Therapy, Graduate Program in Rehabilitation Sciences, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil
| | - Marisa Cotta Mancini
- Graduate Program in Rehabilitation Sciences, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil
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Crane B, Moored K, Rosso A, Carlson M. Using GPS Technologies to Examine Community Mobility in Older Adults. J Gerontol A Biol Sci Med Sci 2023; 78:811-820. [PMID: 36073676 PMCID: PMC10172976 DOI: 10.1093/gerona/glac185] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/25/2022] [Indexed: 01/13/2023] Open
Abstract
BACKGROUND Objective measures of community mobility are advantageous for capturing movement outside the home. Compared with subjective, self-reported techniques, global positioning system (GPS) technologies leverage passive, real-time location data to reduce recall bias and increase measurement precision. We developed methods to quantify community mobility among community-dwelling older adults and assessed how GPS-derived indicators relate to clinical measures of physical and cognitive performance. METHODS Participants (n = 149; M ± standard deviation [SD] = 77.1 ± 6.5 years) from the program to improve mobility in aging (PRIMA) study, a physical therapy intervention to improve walking ability, carried a GPS device for 7 days. Community mobility was characterized by assessing activity space, shape, duration, and distance. Associations between GPS-derived indicators and cognition and physical function were evaluated using Spearman correlations. RESULTS In adjusted models, a larger activity space, greater duration (eg, time out-of-home), and greater distance traveled from home were correlated with better 6-Minute Walk Test performance (ρ = 0.17-0.23, p's < .05). A more circular activity shape was related to poorer performance on the Trail Making Test, Part A (ρ = 0.18, p < .05). More time out-of-home and a larger activity space were correlated with faster times on the Trail Making Test, Part B (ρ = -0.18 to -0.24, p's < .05). Community mobility measures were not associated with global cognition, skilled walking, or usual gait speed. CONCLUSION GPS-derived community mobility indicators capture real-world activity among older adults and were correlated with clinical measures of executive function and walking endurance. These findings will guide the design of future interventions to promote community mobility.
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Affiliation(s)
- Breanna M Crane
- Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland,USA
| | - Kyle D Moored
- Department of Epidemiology, University of Pittsburgh Graduate School of Public Health, Pittsburgh, Pennsylvania,USA
| | - Andrea L Rosso
- Department of Epidemiology, University of Pittsburgh Graduate School of Public Health, Pittsburgh, Pennsylvania,USA
| | - Michelle C Carlson
- Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland,USA
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Giannouli E, Kim EK, Fu C, Weibel R, Sofios A, Infanger D, Portegijs E, Rantanen T, Huang H, Schmidt-Trucksäss A, Zeller A, Rössler R, Hinrichs T. Psychometric properties of the MOBITEC-GP mobile application for real-life mobility assessment in older adults. Geriatr Nurs 2022; 48:280-286. [PMID: 36334468 DOI: 10.1016/j.gerinurse.2022.10.017] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2022] [Revised: 10/21/2022] [Accepted: 10/25/2022] [Indexed: 11/06/2022]
Abstract
Aim of this study was to test the reliability and validity of the life-space measures and walking speed delivered by the MOBITEC-GP app. Participants underwent several supervised walking speed assessments as well as a 1-week life-space assessment during two assessment sessions 9 days apart. Fifty-seven older adults (47.4% male, mean age= 75.3 (±5.9) years) were included in the study. The MOBITEC-GP app showed moderate to excellent test-retest reliability (ICCs between 0.584 and 0.920) and validity (ICCs between 0.468 and 0.950) of walking speed measurements of 50 meters and above and of most 1-week life-space parameters, including life-space area, time spent out-of-home, and action range. The MOBITEC-GP app for Android is a reliable and valid tool for the assessment of real-life walking speed (at distances of 50 metres and above) and life-space parameters of older adults. Future studies should look into technical issues more systematically in order to avoid invalid measurements.
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Affiliation(s)
- Eleftheria Giannouli
- Division of Sport and Exercise Medicine, Department of Sport, Exercise and Health, University of Basel, Basel, Switzerland; Department of Health Sciences & Technology, Institute of Human Movement Sciences and Sport, ETH Zurich, Zurich, Switzerland.
| | - Eun-Kyeong Kim
- Department of Geography, University of Zurich, Zurich, Switzerland; University Research Priority Program (URPP) Dynamics of Healthy Aging, University of Zurich, Zurich, Switzerland; Department of Urban Development and Mobility, Luxembourg Institute of Socio-Economic Research (LISER), Esch-sur-Alzette, Luxembourg
| | - Cheng Fu
- Department of Geography, University of Zurich, Zurich, Switzerland
| | - Robert Weibel
- Department of Geography, University of Zurich, Zurich, Switzerland; University Research Priority Program (URPP) Dynamics of Healthy Aging, University of Zurich, Zurich, Switzerland
| | | | - Denis Infanger
- Division of Sport and Exercise Medicine, Department of Sport, Exercise and Health, University of Basel, Basel, Switzerland
| | - Erja Portegijs
- University of Groningen, University Medical Center Groningen, Center for Human Movement Sciences, Groningen, the Netherlands
| | - Taina Rantanen
- Gerontology Research Center and Faculty of Health Sciences, University of Jyväskylä, Jyväskylä, Finland
| | - Haosheng Huang
- Department of Geography, Ghent University, Ghent, Belgium
| | - Arno Schmidt-Trucksäss
- Division of Sport and Exercise Medicine, Department of Sport, Exercise and Health, University of Basel, Basel, Switzerland
| | - Andreas Zeller
- Centre for Primary Health Care, University of Basel, Basel, Switzerland
| | - Roland Rössler
- Division of Sport and Exercise Medicine, Department of Sport, Exercise and Health, University of Basel, Basel, Switzerland; Basel Mobility Center, Department of Geriatric Medicine Felix Platter, Basel, Switzerland
| | - Timo Hinrichs
- Division of Sport and Exercise Medicine, Department of Sport, Exercise and Health, University of Basel, Basel, Switzerland
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