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Record W4389461676 · doi:10.1186/s40900-023-00523-5

Evaluating the impact of engaging older adults and service providers as research partners in the co-design of a community mobility-promoting program: a mixed methods developmental evaluation study

2023· article· en· W4389461676 on OpenAlexafffund
Maggie MacNeil, Julia Abelson, Caroline M. Moore, Shazelle Lindsay, Janet Adams, Aref Alshaikhahmed, Kamal Jain, Penelope Petrie, Rebecca Ganann

Bibliographic record

VenueResearch Involvement and Engagement · 2023
Typearticle
Languageen
FieldHealth Professions
TopicMental Health and Patient Involvement
Canadian institutionsImpactMcMaster University
FundersCanadian Institutes of Health ResearchMcMaster Institute for Research on Aging, McMaster UniversityPublic Health AgencyPublic Health Agency of CanadaMcMaster University
KeywordsFocus groupThematic analysisGeneral partnershipService providerCommunity engagementContext (archaeology)Qualitative researchMedicineQualitative propertyMultimethodologyMedical educationService (business)NursingPsychologyPublic relationsSociologyPolitical sciencePedagogy

Abstract

fetched live from OpenAlex

BACKGROUND: Increasingly researchers are partnering with citizens and communities in research; less is known about research impacts of this engagement. EMBOLDEN is an evidence-informed, mobility-promoting intervention for older adults co-designed by a 26-person Strategic Guiding Council (SGC) of health/social service providers and older adult citizens. This study evaluated research partners' perceptions of engagement strategies, the engagement context, strengths, areas for improvement, as well as the impacts of the guiding council on older-adult identified priority areas. METHODS: This study was guided by developmental evaluation, working in partnership with four older adult SGC members who helped to set evaluation priorities, decide methods, and adapt patient-centred evaluation tools. Data sources included a questionnaire, focus groups and document analysis of meeting notes from 16 SGC meetings that took place between December 2019 and February 2022. A thematic approach to analysis guided the coding of focus group transcripts and SGC meeting notes. Convergent mixed methods guided the integration and presentation of qualitative and quantitative data sources in a joint display of evaluation results. RESULTS: Of 26 SGC members, nine completed the evaluation squestionnaire, and five participated in focus groups. Around two thirds of the SGC commonly attended each meeting. EMBOLDEN's SGC was structured to include a diverse group (across gender, ethnicity and discipline) of older adults and service providers, which was perceived as a strength. Engagement processes were perceived as inclusive and well-facilitated, which stimulated discussion at meetings. Advantages and disadvantages of engaging with the SGC virtually, as compared to in-person (as was the case for the first 3 SGC meetings) were also discussed. Impacts of the SGC were identified across preparatory, execution phase and translational stages of research. Impacts of SGC involvement on members were also described. CONCLUSION: Older adult research partners played an important role designing, implementing, and evaluating co-design approaches in this study. Older adults and service providers can make important contributions to the design, delivery and sharing results of health research through their lived expertise and connections to community. This project contributes to the growing field of citizen and community engagement in research by offering a participatory approach to engagement evaluation that considers diversity, satisfaction, and impact.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.338
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Science and technology studies, Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.335
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.3380.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0040.000
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.003
Insufficient payload (model declined to judge)0.0000.000

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 head0.874
GPT teacher head0.722
Teacher spread0.153 · 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 teacher head, not a consensus.

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

Citations8
Published2023
Admission routes2
Has abstractyes

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