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Record W4306878642 · doi:10.1186/s13643-022-02044-w

Interventions to address potentially inappropriate prescriptions and over-the-counter medication use among adults 65 years and older in primary care settings: protocol for a systematic review

2022· review· en· W4306878642 on OpenAlexafffundabout
Andrew Beck, Navindra Persaud, Laure Tessier, Roland Grad, Michael Kidd, Scott Klarenbach, Christina Korownyk, Ainsley Moore, Brett D. Thombs, Dee Mangin, Rita McCracken, Emily G. McDonald, Caroline Sirois, Salmaan Kanji, Frank Molnar, Stuart G. Nicholls, Kednapa Thavorn, Alexandria Bennett, Nicole Shaver, Becky Skidmore, Bradley R. Mitchelmore, Marc T. Avey, Elizabeth Rolland-Harris, Julian Little, David Moher

Bibliographic record

VenueSystematic Reviews · 2022
Typereview
Languageen
FieldMedicine
TopicPharmaceutical Practices and Patient Outcomes
Canadian institutionsBruyèreOttawa HospitalUniversity of OttawaPublic Health Agency of CanadaMcGill UniversityMcGill University Health CentreUniversity of British ColumbiaMcMaster UniversityUniversité LavalUniversity of AlbertaUniversity of TorontoSt. Michael's HospitalJewish General Hospital
FundersPublic Health Agency of CanadaMcMaster University
KeywordsMedicinePsychological interventionMedical prescriptionProtocol (science)Primary careOver-the-counterAlternative medicineBeers CriteriaGerontologyFamily medicineIntensive care medicineNursing

Abstract

fetched live from OpenAlex

PURPOSE: To inform recommendations by the Canadian Task Force on Preventive Health Care on potentially inappropriate prescribing and over-the-counter (OTC) medication use among adults aged 65 years and older in primary care settings. This protocol outlines the planned scope and methods for a systematic review of the benefits and harms and acceptability of interventions to reduce potentially inappropriate prescriptions and OTC medication use. METHODS: De novo systematic reviews will be conducted to synthesize the available evidence on (a) the benefits and harms of interventions to reduce potentially inappropriate prescriptions and OTC medications compared to no intervention, usual care, or non- or minimally active intervention among adults aged 65 years and older and (b) the acceptability of these interventions or attributes among patients. Outcomes of interest for the benefits and harms review are all-cause mortality, hospitalization, non-serious adverse drug reactions, quality of life, emergency department visits, injurious falls, medical visits, and the number of medications (and number of pills). Outcomes for the acceptability review are the preference for and relative importance of different interventions or their attributes. For the benefits and harms review, we will search MEDLINE, Embase, and Cochrane Central Register of Controlled Trials for randomized controlled trials. For the acceptability review, we will search MEDLINE, Embase, PsycInfo, Cochrane Central Register of Controlled Trials, and the NHS Economic Evaluation Database for experimental and observational studies with a comparator. Websites of relevant organizations, other grey literature sources, and reference lists of included studies and reviews will be searched. Title and abstract screening will be completed by two independent reviewers using the liberal accelerated approach. Full-text review, data extraction, risk of bias assessments, and GRADE (Grading of Recommendations Assessment, Development and Evaluation) will be completed independently by two reviewers, with any disagreements resolved by consensus or by consulting with a third reviewer. The GRADE approach will be used to assess the certainty of the evidence for outcomes. DISCUSSION: The results of this systematic review will be used by the Canadian Task Force on Preventive Health Care to inform their recommendation on potentially inappropriate prescribing and OTC medication use among adults aged 65 years and older. SYSTEMATIC REVIEW REGISTRATION: PROSPERO (KQ1: CRD42022302313; KQ2: CRD42022302324); Open Science Framework ( https://osf.io/urj4b/ ).

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.

How this classification was reachedexpand

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)0.005
metaresearch head score (Gemma)0.005
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.243
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.005
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0050.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.170
GPT teacher head0.456
Teacher spread0.286 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designSystematic review
Domainnot available
GenreReview

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".

Quick stats

Citations6
Published2022
Admission routes3
Has abstractyes

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