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Record W6945867508 · doi:10.25949/19443224

Analysis of heatwave response plans and adaptation to cope with heatwaves now and in the future in aged care facilities

2019· dissertation· en· W6945867508 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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueMacquarie University · 2019
Typedissertation
Languageen
FieldEnvironmental Science
TopicEnvironmental DNA in Biodiversity Studies
Canadian institutionsnot available
Fundersnot available
KeywordsPreparednessAdaptation (eye)Aged careFocus groupAdaptive capacityDuration (music)Adaptive response

Abstract

fetched live from OpenAlex

Heatwaves result in significant excess mortality, particularly amongst the elderly, and increases in the frequency and duration of heatwaves are projected in the coming decades. This thesis examines heatwave response planning and adaptation with a focus on the health of the elderly in aged care facilities. Three related pieces of research were conducted to explore different aspects of this topic, these being a comparison of heatwave response plans from an aged care facility perspective, strategies for adaptation to climate change impacts in aged care facilities, and heatwave preparedness and planning in aged care facilities in Victoria, Australia. Selected heatwave response plans at national, state/provincial, and municipal levels were examined, with a particular focus on specific responses aimed at residents of aged care facilities. Heatwave response plans were sourced from several countries that are experiencing demographic transition that features growing ageing populations. A total of 23 heatwave response plans were obtained. Most of the plans were from Australia, with only three plans each available from Canada and the United Kingdom, and only two available from the United States. Key components found across the plans were analysis of temperature thresholds, heat stress prevention measures, and communication strategies. Only three heatwave response plans analysed included specific guidance for aged care facilities. These results underline the need for governments to implement effective guidelines that include specific provisions for aged care facilities. The exploration of adaptation strategies focussed on potential adaptive categories of primary, secondary and tertiary preventions: divided into short-term and long-term adaptation measures. These measures include adaptations such as heat-alarm sensor detectors, client's care plan review schedule, increased staffing during heatwaves, families and carer's involvement, active and passive air-conditioning, and backup power supplies. Victorian aged care facilities were invited to complete an online survey containing 50 questions on heatwave preparedness and planning. Thirty-nine surveys were completed. Eighty-seven percent had a heatwave policy in place, and 92% had a heatwave response plan. Chi squared (χ2) test statistics found a strong statistically significant relationship between facilities having heatwave response plans and their healthcare assessment process including consideration of the risks and prevention of dehydration. The study found 92% of sampled aged care facilities use air-conditioning to cool residents during heatwaves. These and other results suggest living in the sampled Victorian aged care facilities is not a risk factor for direct heat-related illnesses during heatwaves. However, ongoing staff heatwave education, training, and communication must continue to reduce heat-related illnesses associated with residents of aged care facilities.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.215
Threshold uncertainty score0.855

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
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 head0.007
GPT teacher head0.184
Teacher spread0.177 · 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