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Record W4220693002 · doi:10.3390/geriatrics7020035

Barriers and Facilitators to Screening for Cognitive Impairment in Australian Rural Health Services: A Pilot Study

2022· article· en· W4220693002 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

VenueGeriatrics · 2022
Typearticle
Languageen
FieldHealth Professions
TopicGeriatric Care and Nursing Homes
Canadian institutionsUniversity of Saskatchewan
FundersLa Trobe University
KeywordsMedicineAccreditationLegislationThematic analysisNursingFocus groupHealth careCognitive impairmentRural areaRural healthQualitative researchFamily medicineCognitionMedical educationPsychiatryBusiness

Abstract

fetched live from OpenAlex

Australian National standards recommend routine screening for all adults over 65 years by health organisations that provide care for patients with cognitive impairment. Despite this, screening rates are low and, when implemented, screening is often not done well. This qualitative pilot study investigates barriers and facilitators to cognitive screening for older people in rural and regional Victoria, Australia. Focus groups and interviews were undertaken with staff across two health services. Data were analysed via thematic analysis and contextualized within the i-PARIHS framework. Key facilitators of screening included legislation, staff buy-in, clinical experience, appropriate training, and interorganisational relationships. Collaborative implementation processes, time, and workloads were considerations in a recently accredited tertiary care setting. Lack of specialist services, familiarity with patients, and infrastructural issues may be barriers exacerbated in rural settings. In lieu of rural specialist services, interorganisational relationships should be leveraged to facilitate referring 'outwards' rather than 'upwards'.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.442
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
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 head0.054
GPT teacher head0.397
Teacher spread0.343 · 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