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Record W4281770258 · doi:10.1016/j.xkme.2022.100491

Sick Day Medication Guidance for People With Diabetes, Kidney Disease, or Cardiovascular Disease: A Systematic Scoping Review

2022· article· en· W4281770258 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.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueKidney Medicine · 2022
Typearticle
Languageen
FieldMedicine
TopicMedication Adherence and Compliance
Canadian institutionsUniversity of CalgaryUniversity of Alberta
FundersCanadian Institutes of Health ResearchInstitute of Health Services and Policy ResearchAmgen
KeywordsCINAHLMedicineMEDLINEPsychological interventionCochrane LibraryScopusSystematic reviewDiseaseKidney diseaseAlternative medicineDiabetes mellitusIntensive care medicineFamily medicineInternal medicineNursingPathology

Abstract

fetched live from OpenAlex

Rationale & Objective: Sick day medication guidance has been promoted to prevent adverse events for people with chronic conditions. Our aim was to summarize the existing sick day medication guidance and the evidence base for the effectiveness of interventions for implementing this guidance. Study Design: Scoping review of quantitative and qualitative studies. Setting & Population: Sick day medication guidance for people with chronic conditions including diabetes mellitus, kidney diseases, and cardiovascular diseases. Selection Criteria for Studies: A search of 6 bibliographic databases (Ovid MEDLINE, Ovid Embase, CINAHL, Scopus, Web of Science Core Collection, and Cochrane Library [via Wiley]) and a comprehensive gray literature search were completed in June 2021. Data Extraction: Intervention and study characteristics were extracted using standardized tools. Analytical Approach: Data were summarized descriptively, and our approach observed the Preferred Reporting Items for Systematic Reviews and Meta-analyses extension for scoping reviews. Results: The literature search identified 2,308 documents, which were screened against the eligibility criteria, leading to 74 documents that were included. The majority of the identified documents (n = 55) were guidelines or educational resources. Of the 19 primary research studies identified, 10 studies described an intervention, with only 2 examining the effect of sick day medication guidance interventions within clinical care and no studies reporting beneficial effects on clinical outcomes. Most documents (n = 58) included guidance specific to patients with diabetes mellitus, with fewer including guidance for patients with chronic kidney disease (n = 9) or heart failure (n = 2). Limitations: Risk of bias was not assessed. Conclusions: Many resources promoting sick day medication guidance have been developed; however, there is very little empirical evidence for the effectiveness of current approaches in implementing sick day medication guidance into practice. Recommendations for the use of sick day medication guidance will require further research to develop consistent, understandable, and usable approaches for its implementation within self-management strategies as well as empirical studies to demonstrate the effectiveness of these interventions.

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)0.003
metaresearch head score (Gemma)0.012
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: none
Teacher disagreement score0.634
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.012
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0040.000

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 head0.037
GPT teacher head0.308
Teacher spread0.272 · 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