MétaCan
Menu
Back to cohort
Record W3196864866 · doi:10.5334/ijic.icic20242

The EMBOLDEN study: Enhancing physical and community mobility in older adults with health inequities using community co-design

2021· article· en· W3196864866 on OpenAlexaffabout
Rebecca Ganann

Bibliographic record

VenueInternational Journal of Integrated Care · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicTechnology Use by Older Adults
Canadian institutionsMcMaster University
Fundersnot available
KeywordsGerontologySocial isolationPsychological interventionQuality of life (healthcare)Mental healthPublic healthMedicinePsychologyNursingEnvironmental health

Abstract

fetched live from OpenAlex

Background: Physical mobility and social participation are needed to maintain independence and quality of life. Mobility barriers can lead to social isolation, poor physical and mental health, and are recognised precursors to frailty, increased hospitalisations and premature death. This is particularly true for older adults who experience barriers to physical and/or social engagement. To date, most mobility-enhancing interventions in older persons have been designed by researchers without patient/citizen input and applied in controlled settings; their translation to real-world contexts is often impractical and rarely occurs. A model that works to improve physical activity and nutrition in a manner that considers an individual’s lifestyle and personal preferences, and builds on existing community health and social services, is necessary for true public health impact. The EMBOLDEN research program aims to make important contributions to improve physical and community mobility of older adults living in neighbourhoods with health inequities through a co-designed community-based intervention.Methods: This 4-year research program will be conducted in Hamilton, Canada with the following phases: (1) Environmental scan, systematic review, and experience-based intervention co-design; (2) Pragmatic randomized controlled trial using a type II hybrid implementation-effectiveness design; and (3) Sustainability and scalability assessment.Results: Phase 1 of the EMBOLDEN research program is underway. The completed environmental scan examined community-based features associated with health inequities, identified priority neighbourhoods based on these features, and explored assets and gaps in available and relevant health and social programs. The systematic review (Oct. 2019 completion date) identified a wide range of group-based community physical activity and multi-component interventions to promote physical and community mobility in older adults; however there were no nutrition-specific interventions and very few addressed health inequities .Discussion: Together, the environmental scan and systematic review findings provide a foundation for co-designing an innovative group-based community intervention that targets physical and community mobility, healthy eating, social participation, and system navigation. An experience-based co-design approach using persona-scenario and focus group data collection strategies will be used to explore the experiences of older adults and service providers engaging with community-based health and social services to promote physical mobility and social participation. A Strategic Guiding Council comprised of local intersectoral service providers and older adult citizens will collaboratively partner with researchers to refine the pragmatic trial protocol and determine priority features of the intervention.Conclusions: The EMBOLDEN study’s phased approach is designed to improve physical and community mobility of older adults, enhance social participation, and facilitate connections to community programs in neighbourhoods with significant health inequities through a co-designed community-based intervention grounded in behavioural and health promotion strategies reflecting social cognitive theory and best evidence.Lessons Learned: An interdisciplinary team brings diverse perspectives to the research program and continues to build capacity in community-based research.Limitations:Disease-specific programming was an exclusion criteria for the systematic review; this may provide some explanation for the lack of nutrition-specific programming.Suggestions For Future Research: Further investigation into group-based nutrition-specific community programming may provide valuable insight into prioritising the inclusion of nutrition support in multi-component interventions.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.031
metaresearch head score (Gemma)0.029
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.031
Threshold uncertainty score0.164

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0310.029
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0030.006
Bibliometrics0.0020.002
Science and technology studies0.0020.001
Scholarly communication0.0020.002
Open science0.0020.005
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0090.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.033
GPT teacher head0.360
Teacher spread0.326 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2021
Admission routes2
Has abstractyes

Explore more

Same venueInternational Journal of Integrated CareSame topicTechnology Use by Older AdultsFrench-language works237,207