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      Enhancing Physical and Community MoBility in OLDEr Adults with Health Inequities Using CommuNity Co-Design (EMBOLDEN): Results of an Environmental Scan

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          Abstract

          Background

          Using the comparatively new environmental scan methodology, a protocol was developed and conducted to inform the co-design and implementation of a novel intervention to promote mobility among older adults in Hamilton, Ontario, Canada. The EMBOLDEN program seeks to promote physical and community mobility in adults 55 years and older who face barriers accessing community programs and who reside in areas of high inequity in Hamilton, and to address the following areas of focus: physical activity, nutrition, social participation, and system navigation supports.

          Methods

          The environmental scan protocol was developed using existing models and drew insights from census data, a review of existing services, organizational representative interviews, windshield surveys of selected high-priority neighbourhoods, and Geographic Information System (GIS) mapping.

          Results

          A total of 98 programs for older adults from 50 different organizations were identified, with the majority (92) supporting mobility, physical activity, nutrition, social participation, and system navigation. The analysis of census tract data identified eight high-priority neighbourhoods characterized by large shares of older adults, high material deprivation, low income, and high proportion of immigrants. These populations can be hard to reach and face multiple barriers to participation in community-based activities. The scan also revealed the nature and types of services geared toward older adults in each neighbourhood, with each priority neighbourhood having at least one school and park. Most areas had a range of services and supports (i.e., health care, housing, stores, religious options), although there was a lack of diverse ethnic community centres and income-diverse activities specific to older adults in most neighbourhoods. Neighbourhoods also differed in the geographic distribution number of services, along with the number of recreational services specific to older adults. Barriers included financial and physical accessibility, lack of ethnically diverse community centres, and food deserts.

          Conclusions

          Scan results will inform the co-design and implementation of the Enhancing physical and community MoBility in OLDEr adults with health inequities using commuNity co-design intervention–EMBOLDEN.

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          Most cited references18

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          Guidance on how to develop complex interventions to improve health and healthcare

          Objective To provide researchers with guidance on actions to take during intervention development. Summary of key points Based on a consensus exercise informed by reviews and qualitative interviews, we present key principles and actions for consideration when developing interventions to improve health. These include seeing intervention development as a dynamic iterative process, involving stakeholders, reviewing published research evidence, drawing on existing theories, articulating programme theory, undertaking primary data collection, understanding context, paying attention to future implementation in the real world and designing and refining an intervention using iterative cycles of development with stakeholder input throughout. Conclusion Researchers should consider each action by addressing its relevance to a specific intervention in a specific context, both at the start and throughout the development process.
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            Importance of proximity to resources, social support, transportation and neighborhood security for mobility and social participation in older adults: results from a scoping study

            Background Since mobility and social participation are key determinants of health and quality of life, it is important to identify factors associated with them. Although several investigations have been conducted on the neighborhood environment, mobility and social participation, there is no clear integration of the results. This study aimed to provide a comprehensive understanding regarding how the neighborhood environment is associated with mobility and social participation in older adults. Methods A rigorous methodological scoping study framework was used to search nine databases from different fields with fifty-one keywords. Data were exhaustively analyzed, organized and synthesized according to the International Classification of Functioning, Disability and Health (ICF) by two research assistants following PRISMA guidelines, and results were validated with knowledge users. Results The majority of the 50 selected articles report results of cross-sectional studies (29; 58 %), mainly conducted in the US (24; 48 %) or Canada (15; 30 %). Studies mostly focused on neighborhood environment associations with mobility (39; 78 %), social participation (19; 38 %), and occasionally both (11; 22 %). Neighborhood attributes considered were mainly ‘Pro ducts and technology’ (43; 86 ) and ‘Services, systems and policies’ (37; 74 %), but also ‘Natural and human-made changes’ (27; 54 %) and ‘Support and relationships’ (21; 42 %). Mobility and social participation were both positively associated with Proximity to resources and recreational facilities, Social support, Having a car or driver’s license, Public transportation and Neighborhood security, and negatively associated with Poor user-friendliness of the walking environment and Neighborhood insecurity. Attributes of the neighborhood environment not covered by previous research on mobility and social participation mainly concerned ‘Attitudes’, and ‘Services, systems and policies’. Conclusion Results from this comprehensive synthesis of empirical studies on associations of the neighborhood environment with mobility and social participation will ultimately support best practices, decisions and the development of innovative inclusive public health interventions including clear guidelines for the creation of age-supportive environments. To foster mobility and social participation, these interventions must consider Proximity to resources and to recreational facilities, Social support, Transportation, Neighborhood security and User-friendliness of the walking environment. Future studies should include both mobility and social participation, and investigate how they are associated with ‘Attitudes’, and ‘Services, systems and policies’ in older adults, including disadvantaged older adults.
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              Assessing mobility in older adults: the UAB Study of Aging Life-Space Assessment.

              The University of Alabama at Birmingham (UAB) Study of Aging Life-Space Assessment (LSA) is a relatively new instrument to measure mobility. The purpose of this report is to describe the relationships between LSA and traditional measures of physical function, sociodemographic characteristics, depression, and cognitive status. Subjects were a stratified random sample of 998 Medicare beneficiaries aged > or =65 years. The sample was 50% African American, 50% male, and 50% from rural (versus urban) counties. In-home interviews were conducted. Mobility was measured using the LSA, which documents where and how often subjects travel and any assistance needed during the 4 weeks prior to the assessment. Basic activities of daily living (ADL) and instrumental activities of daily living (IADL), cognitive status, income level, presence of depressive symptoms, and transportation resources were determined. The Short Physical Performance Battery (SPPB) was used to assess physical performance. Simple bivariate correlations indicated a significant relationship between LSA and all variables except residence (rural versus urban). In a regression model, physical function (ADL, IADL) and physical performance (SPPB) accounted for 45.5% of the variance in LSA scores. An additional 12.7% of the variance was explained by sociodemographic variables, and less than 1% was explained by cognition and depressive symptoms. The LSA can be used to document patients' mobility within their home and community. The LSA scores are associated with a person's physical capacity and other factors that may limit mobility. These scores can be used in combination with other tests and measures to generate clinical hypotheses to explain mobility deficits and to plan appropriate interventions to address these deficits.
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                Author and article information

                Journal
                Can Geriatr J
                Can Geriatr J
                Canadian Geriatrics Journal
                Canadian Geriatrics Society
                1925-8348
                March 2023
                01 March 2023
                : 26
                : 1
                : 23-30
                Affiliations
                [1 ]School of Earth, Environment & Society, McMaster University, Hamilton, ON
                [2 ]School of Nursing, McMaster University, Hamilton, ON
                [3 ]Department of Kinesiology, McMaster University, Hamilton, ON
                [4 ]Department of Health Research Methods, Evidence and Impact, McMaster University, Hamilton, ON
                [5 ]Faculty of Health Sciences, McMaster University, Hamilton, ON
                [6 ]Nursing, Brock University, St. Catharines, ON, Canada
                Author notes
                Correspondence to: Rebecca Ganann, PhD, School of Nursing, McMaster University, 1280 Main St. West, Hamilton, ON L8S 4K1 Canada, Email: ganann@ 123456mcmaster.ca
                Article
                cgj-26-23
                10.5770/cgj.26.602
                9953504
                36865406
                d49e20df-bfc4-4ef2-bbc2-83a4e4af92cb
                © 2023 Author(s).

                This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial No-Derivative license ( https://creativecommons.org/licenses/by-nc-nd/4.0/), which permits unrestricted non-commercial use and distribution, provided the original work is properly cited.

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                Categories
                Original Research

                Geriatric medicine
                environmental scan,asset mapping,health inequities,older adults,mobility,physical activity,nutrition,social participation,system navigation,engagement,co-design

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