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OP57 Intergenerational interventions and their effect on social and mental wellbeing of both children and older people – a mapping review and evidence gap map

2022· review· en· W4300926111 on OpenAlexaboutno aff
Jo Thompson Coon, Fiona Campbell, Rebecca Whear, Jane Barlow, Andrew Booth, Ellie Robinson Carter, Morwenna Rogers, Anthea Sutton, Stuart Cohen, Richard A. Sharpe

Bibliographic record

VenueSSM Annual Scientific Meeting · 2022
Typereview
Languageen
FieldSocial Sciences
TopicHealth disparities and outcomes
Canadian institutionsnot available
Fundersnot available
KeywordsCensusSocial classInequalityDemographySocial inequalityGovernment (linguistics)Psychological interventionGeographyNorth eastPopulationMental healthMedicineSociologySocioeconomicsPolitical sciencePsychiatry

Abstract

fetched live from OpenAlex

<h3>Background</h3> Opportunities for social connection between generations have diminished over recent decades because of changes in the way that we live and work. Intergenerational programmes may have a role in re-establishing connections thereby reducing loneliness and exclusion, improving mental health and tackling important issues such as ageism. However commissioning decisions are complex due to the range of options available. <h3>Methods</h3> We produced an evidence gap map which provides an overview of the volume, diversity and nature of evidence to improve understanding of the role of intergenerational activities in health and social care. We searched sixteen bibliographic databases for research of any design in September 2021. We also searched websites of relevant organisations. Eligible studies included older adults and children/young people where there was at least one skipped generation taking part in an intervention seeking to bring older and younger people together to achieve positive health, social or educational outcomes. We used the Depth of Intergenerational Engagement Scale as the framework for describing interventions; this scale places activities on a continuum, with points that correspond to different levels of intergenerational engagement, ranging from initiatives that provide no direct contact between age groups (Level 1) to those that promote intensive contact and ongoing opportunities for intimacy (Level 7). We used EPPI-Mapper software to create an interactive map of the evidence. <h3>Results</h3> We included 500 research studies (27 systematic reviews, 238 quantitative comparative (of which 38 were randomised controlled trials), 232 qualitative, 103 observational and 82 mixed methods). Studies were conducted in 26 countries with the most frequent being the US (n=327), Canada (n=33), UK (n=28) and Australia (n=25). Just over half the studies (n=276/500) involved regular meetings between younger and older people over several months (Level 5 on the Depth of Intergenerational Engagement Scale); activities ranged from arts and crafts, reading and letter writing to environmental activities. Most commonly reported outcomes for children/younger people were attitudes towards older people, knowledge and attainment and intergenerational interactions. For older people they were mental wellbeing, agency, attitudes towards younger people and intergenerational interactions. Studies also reported economic outcomes (n=3 studies), adverse or unexpected outcomes (n=46 studies) and factors affecting implementation of interventions (n=180 studies). Many studies measured and reported outcomes for one generation only with the opposite generation being considered as being part of the intervention. <h3>Conclusion</h3> The map provides an invaluable resource for those who commission, deliver and research services in this area.

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)0.006
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.799
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0020.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.092
GPT teacher head0.404
Teacher spread0.311 · 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 designNot applicable
Domainnot available
GenreReview

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

Citations1
Published2022
Admission routes1
Has abstractyes

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