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Record W6907790305 · doi:10.25384/sage.c.5184851.v1

The Saskatchewan Medication Assessment Program for Patients With Renal Failure: A Qualitative Study to Understand Health Care Provider Perspectives

2020· other· en· W6907790305 on OpenAlexaboutno aff

Bibliographic record

VenueSage Journals Data · 2020
Typeother
Languageen
FieldArts and Humanities
TopicLiteracy, Media, and Education
Canadian institutionsnot available
Fundersnot available
KeywordsQualitative researchHealth carePharmacyCommunity pharmacyPerceptionMeaning (existential)Coding (social sciences)Pharmacy practice

Abstract

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Background:The Saskatchewan Medication Assessment Program (SMAP) compensates community pharmacists for medication reviews on eligible residents with the goal of optimizing patient care. Although medication reviews are meant to reduce risks associated with complex medication regimens, some patients may already be receiving specialized care from interdisciplinary health care teams from the renal programs in Saskatchewan.Objective:A qualitative analysis was undertaken to examine the perceptions of health care providers about the SMAP process for patients receiving renal care in Saskatchewan. The goal was to explore potential benefits, facilitators, challenges, and/or barriers of the program in this population.Design:Qualitative descriptive study.Setting:The semi-structured interviews took place in the province of Saskatchewan.Participants:Community pharmacists, renal pharmacist, and nephrologists.Methods:All nephrologists, renal pharmacists, and community pharmacies in Saskatoon and Regina were sent an invitation to participate in the study. Semi-structured interviews were completed with participants and were audio-recorded and transcribed verbatim. Coding was performed using NVIVO qualitative software, and meaning units and codes were consolidated into categories and subcategories using qualitative content analysis.Results:A total of 9 community pharmacists, 10 renal pharmacists, and 8 nephrologists were interviewed. Community pharmacists had mixed levels of comfort providing SMAP assessments for renal patients, but expressed the desire to provide the best care possible and described patient benefits. Some categories (eg, barriers and improvements) and subcategories (eg, “collaboration/communication”, “other challenges,” and “suggestions for improvement”) were consistent among all participant groups, while others (eg, “renal patients have complex care needs” and “duplication of service”) were common among both renal pharmacists and nephrologists. The nephrologists had little knowledge of the program and of the role of the community pharmacist, indicating the need for improved education and communication.Limitations:The lack of renal patient perceptions on the SMAP process should be acknowledged and studied in future. A further limitation is the small sample size per subsample group.Conclusion:Despite some negative experiences, all of the participants believed the program can be beneficial. However, several recommendations were suggested to improve the SMAP process in renal patients and other complex patient populations.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.008
metaresearch head score (Gemma)0.011
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.869
Threshold uncertainty score0.260

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0080.011
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0110.006
Scholarly communication0.0030.003
Open science0.0010.004
Research integrity0.0010.003
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 head0.062
GPT teacher head0.401
Teacher spread0.340 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
Domainnot available
GenreEmpirical

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".

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Citations0
Published2020
Admission routes1
Has abstractyes

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