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Record W3085736463 · doi:10.3390/pharmacy8030171

Evaluation of a Pharmacist–Dietician-Led Patient-Centered Approach to Managing CKD-MBD: A Mixed-Method Study

2020· article· en· W3085736463 on OpenAlexaff
Tamara L. Baker, Heather Naylor, Bryanne MacNeil, Martin MacKinnon

Bibliographic record

VenuePharmacy · 2020
Typearticle
Languageen
FieldMedicine
TopicParathyroid Disorders and Treatments
Canadian institutionsHorizon Health NetworkSaint John Regional HospitalNova Scotia Health Authority
Fundersnot available
KeywordsMedicineKidney diseasePharmacistFocus groupIntervention (counseling)Health professionalsHealth careInternal medicineFamily medicineNursingPharmacy

Abstract

fetched live from OpenAlex

Chronic kidney disease mineral and bone disorder (CKD-MBD) is a common complication in end-stage renal disease (ESRD). To improve prescribing consistency and patient outcomes, a patient-centered, pharmacist-dietician-led approach to managing CKD-MBD was developed. The purpose of this study was to evaluate if the new approach impacted serum markers of CKD-MBD and medication burden, and to evaluate patient satisfaction. A single-arm, pre-post, mixed-methods study was conducted. Serum markers of CKD-MBD and medication data were collected pre- and post-intervention, and a patient survey administered post-intervention. Focus groups were conducted, transcribed, and analyzed thematically. No statistically significant differences in serum markers of CKD-MBD or medication burden were found. Eighty-seven percent of patients were satisfied with their care, however, 31% were very dissatisfied with medical explanations provided to them and 48% felt their allotted time with healthcare professionals was too short. Four major themes identified from focus groups included lack of privacy, knowledge and perceptions of blood work rounds, issues with taking phosphate binders, and areas for increased patient education. Patients would prefer more information regarding their blood work results and more time with the healthcare team. Areas for expanded education include renal diet, phosphate binders, and consequences of abnormal bloodwork.

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)0.000
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: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.712
Threshold uncertainty score0.801

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 head0.150
GPT teacher head0.434
Teacher spread0.284 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designSimulation or modeling
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".

Quick stats

Citations4
Published2020
Admission routes1
Has abstractyes

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