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Record W2903577384 · doi:10.1111/ajag.12606

Pill for this and a pill for that: A cross‐sectional survey of use and understanding of medication among adults with multimorbidity

2018· article· en· W2903577384 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

VenueAustralasian Journal on Ageing · 2018
Typearticle
Languageen
FieldMedicine
TopicChronic Disease Management Strategies
Canadian institutionsMcMaster University
FundersHealth Research Council of New Zealand
KeywordsPillMedicineMultimorbidityCross-sectional studyFamily medicinePolypharmacyPediatricsChronic diseaseNursingIntensive care medicine

Abstract

fetched live from OpenAlex

OBJECTIVE: To understand the challenges managing medication use and knowledge of people living with multimorbidity. METHODS: A cross-sectional survey of 234 adults with multimorbidity, identified using retrospective hospital discharge data. Participants were recruited from two primary health organisations in New Zealand. RESULTS: Three quarters of participants (75%) were prescribed four or more medications, and one in four (27%) were prescribed eight or more medications. Participants reported knowing what their medications were for (88%, 95% CI 81.4-93.8) and when to take them (99%, 95% CI 97.5-99.9). However, over a fifth (22%, 95% CI 13.7-30.4) reported some problems managing multiple medications, and 40% (95% CI 30.2-50.2) reported a problem with side effects. CONCLUSION: The results highlight the need to consider how prescribing can be adapted for people with multimorbidity and move beyond the application of multiple disease-specific guidelines.

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)0.001
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 score0.008
Threshold uncertainty score0.413

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.156
GPT teacher head0.358
Teacher spread0.203 · 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