Outcomes associated with prescribed medications in older adults with multimorbidity: protocol for a scoping review
Bibliographic record
Abstract
INTRODUCTION: Multimorbidity becomes increasingly prevalent with ageing. Polypharmacy is often associated with multimorbidity because patients accrue medications to treat each individual disease; however, there is uncertainty around the generalisability of disease-specific guidelines. Namely, the extrapolation of results from studies conducted in younger patients to older adults with multimorbidity. The main objective of this scoping review is to explore our current knowledge of the outcomes that older adults with multimorbidity experience from taking prescribed medications. METHODS AND ANALYSIS: A scoping review will be conducted to explore what is known about the outcomes experienced by older adults with multimorbidity who are taking guideline-recommended medications and to identify areas for future research. In addition to searching the grey literature, the following databases will be searched from 1990 onward: MEDLINE, EMBASE, PsycINFO and the Cochrane Library. Experimental, quasi-experimental and non-experimental studies consisting of patients ≥65 years old who have two or more comorbid conditions (explicitly grouped together for the purpose of analysis) and who are being prescribed a guideline-recommended prescription medication for a chronic condition will be considered for inclusion in our scoping review. We will describe patient (eg, mortality, morbidity, quality of life) and health system (eg, number of emergency department visits or hospitalisations, cost to third-party payer) outcomes associated with the prescription of medications for older adults who have two or more chronic comorbid conditions. Two reviewers will complete all screening and data abstraction independently. Data will be synthesised with descriptive statistics. ETHICS AND DISSEMINATION: Ethics approval is not required because this is a scoping review of published literature. Results will be disseminated through conference presentations and publication in a peer-reviewed journal.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.094 | 0.107 |
| Meta-epidemiology (narrow) | 0.006 | 0.006 |
| Meta-epidemiology (broad) | 0.016 | 0.022 |
| Bibliometrics | 0.019 | 0.017 |
| Science and technology studies | 0.005 | 0.005 |
| Scholarly communication | 0.009 | 0.010 |
| Open science | 0.006 | 0.009 |
| Research integrity | 0.010 | 0.007 |
| Insufficient payload (model declined to judge) | 0.060 | 0.009 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".