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Record W4393489675 · doi:10.17061/phrp3412405

A systems approach to assist policy action to prevent falls among community-dwelling older people in Australia

2024· article· en· W4393489675 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenuePublic Health Research & Practice · 2024
Typearticle
Languageen
FieldHealth Professions
TopicBalance, Gait, and Falls Prevention
Canadian institutionsCentre for Global Health Research
FundersNational Health and Medical Research Council
KeywordsContext (archaeology)Government (linguistics)Corporate governanceHealth policyPublic healthPublic policyPoison controlPublic relationsSuicide preventionOccupational safety and healthMedicinePolitical scienceBusinessEnvironmental healthNursingGeography

Abstract

fetched live from OpenAlex

OBJECTIVES: While systems thinking has gained recognition as an important approach in health policy and prevention research, its application in the context of fall prevention among community-dwelling older adults has been underutilised. Here, we build on the guiding principles of the systemic lens component of the Prevention System Change Framework to assess and identify potential changes that are required to facilitate policy action in the field of falls prevention. METHODS: We conducted a desktop search to identify policy documents encompassing falls prevention among community-dwelling older adults in Australia. Documents were considered eligible if they were published in the last 10 years and were authored or endorsed by federal or state government bodies. We collaboratively examined eligible documents to gain insights into the current policy landscape in falls prevention and to illustrate opportunities for action and the potential for strengthening partnerships. RESULTS: There is no current national policy on preventing falls in older adults in Australia. While we identified eight policy documents, none focused exclusively on falls prevention, indicating that falls are currently not perceived as a public health issue that warrants a dedicated policy framework. We identified a need for a comprehensive national policy that draws upon insights from various disciplines, suggests intersectoral collaboration, addresses health inequities and involves meaningful engagement with key stakeholders. Future falls prevention policies may benefit from clear governance structures and specific targets, along with mechanisms for monitoring and evaluating outcomes. CONCLUSION: Falls prevention is a pressing public health concern that requires dedicated policy resources. Adopting a systems-oriented approach can help reduce falls and their associated burdens on individuals and the healthcare system. Acknowledging the urgency and complexity of this challenge is a first, essential step toward crafting a comprehensive national falls prevention policy.

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.

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)0.059
metaresearch head score (Gemma)0.010
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Science and technology studies, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMetaresearch
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.318
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0590.010
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.005
Science and technology studies0.0020.000
Scholarly communication0.0010.002
Open science0.0010.001
Research integrity0.0000.007
Insufficient payload (model declined to judge)0.0000.002

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 head0.415
GPT teacher head0.576
Teacher spread0.161 · 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