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Record W2424935809 · doi:10.1186/s40900-016-0038-7

Giving voice to older adults living with frailty and their family caregivers: engagement of older adults living with frailty in research, health care decision making, and in health policy

2016· review· en· W2424935809 on OpenAlexafffundabout
Jayna Holroyd‐Leduc, Joyce Resin, Lisa Ashley, Doris Barwich, Jacobi Elliott, Paul Huras, France Légaré, Megan Mahoney, Alies Maybee, Heather McNeil, Daryl Pullman, Richard Sawatzky, Paul Stolee, John Muscedere

Bibliographic record

VenueResearch Involvement and Engagement · 2016
Typereview
Languageen
FieldMedicine
TopicFrailty in Older Adults
Canadian institutionsQueen's UniversityTrinity Western UniversityWestern UniversityCentre for Health Evaluation and Outcome SciencesMemorial University of NewfoundlandUniversité LavalUniversity of WaterlooCanadian Nurses AssociationCanadian Hospice Palliative Care AssociationUniversity of Calgary
FundersCanadian Frailty Network
KeywordsGerontologyFamily caregiversHealth carePsychologyAging in placeElder careMedicinePolitical science

Abstract

fetched live from OpenAlex

PLAIN ENGLISH SUMMARY: their family caregivers. Frailty is a state that puts an individual at a higher risk for poor health outcomes and death. Understanding whether a person is frail is important because treatment and health care choices for someone living with frailty may be different from someone who is not (i.e., who is fit). In this review, we discuss strategies and hurdles for engaging older adults living with frailty across three settings: research, health and social care, and policy. We developed this review using published literature, expert opinion, and stakeholder input (including citizens). Engaging frail older individuals will be challenging because of their vulnerable health state - but it can be done. Points of consideration specific to engaging this vulnerable population include:In any setting, family caregivers (defined to include family, friends, and other social support systems) play an important role in engaging and empowering older adults living with frailtyEngagement opportunities need to be flexible (e.g., location, time, type)Incentivizing engagement for researchers and citizens (financial and otherwise) may be necessaryThe education and training of citizens, health and social care providers, and researchers on engagement practicesPatient-centered care approaches should consider the specific needs of individuals living with frailty including end-of-life care and advanced care planningInfluencing policy can occur in many ways including participating at institutional, regional, provincial or national committees that relate to health and social care. ABSTRACT: Older adults are the fastest growing segment of Canada's population resulting in an increased number of individuals living with frailty. Although aging and frailty are not synonymous the proportion of those who are frail increases with age. Frailty is not defined by a single condition, but rather a health state characterized by an increased risk of physical, mental, or social decline, deterioration of health status, and death. Recognizing frailty is important because earlier detection allows for program implementation focused on prevention and management to reduce future hospitalization, improve outcomes, and enhance vitality and quality of life. Even though older adults living with frailty are significant users of health care resources, their input is under-represented in research, health care decision making, and health policy formulation. As such, engaging older adults living with frailty and their family caregivers is not only an ethical imperative, but their input is particularly important as health and social care systems evolve from single-illness focused to those that account for the complex and chronic needs that accompany frailty. In this review, we summarize existing literature on engaging older adults living with frailty and their family caregivers across three settings: research, health and social care, and policy. We discuss strategies and barriers to engagement, and ethical and cultural factors and implications. Although this review is mainly focused on Canada it is likely to be broadly applicable to many of the health systems in the developed world where aging and frailty pose important challenges.

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)0.075
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: Methods · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.969
Threshold uncertainty score0.163

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0310.075
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.002
Bibliometrics0.0010.002
Science and technology studies0.0030.003
Scholarly communication0.0060.009
Open science0.0010.007
Research integrity0.0040.004
Insufficient payload (model declined to judge)0.0060.001

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 head0.164
GPT teacher head0.449
Teacher spread0.286 · 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.

Study designQualitative
DomainMethods
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

Citations134
Published2016
Admission routes3
Has abstractyes

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