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PS-BPP04-9: THE RXPATH RANDOMIZED TRIAL OF THE HYPERTENSION CANADA PROFESSIONAL CERTIFICATION PROGRAM: A NOVEL IMPLEMENTATION STRATEGY FOR HYPERTENSION GUIDELINES

2023· article· en· W4315785200 on OpenAlexaffabout
Ross Tadao Tsuyuki, Kaitlyn Elizabeth Watson, Bo Pan, Yazid Nabil Al Hamarneh

Bibliographic record

VenueJournal of Hypertension · 2023
Typearticle
Languageen
FieldMedicine
TopicPharmaceutical Practices and Patient Outcomes
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsMedicinePharmacistBlood pressureRandomized controlled trialPharmacyPopulationFamily medicineClinical pharmacyPhysical therapyInternal medicine

Abstract

fetched live from OpenAlex

The uptake of clinical practice guidelines into practice is poor for many chronic conditions, including hypertension. We designed a guidelines-based educational program for primary care clinicians, the Hypertension Canada Professional Certification Program (HC-PCP, www.hypertension.ca/professional-certification-program). It consists of four online modules, an online prospective patient registry, and expert evaluations of the blood pressure measurement technique and case management by the learner. We then evaluated its impact on patient level outcomes. Objective: The objective of RxPATH was to determine the effect of the HC-PCP for pharmacists on systolic blood pressure reduction in patients with poorly controlled hypertension. Design and Methods: Design: Stepped wedge cluster randomized trial (unit of randomization was the pharmacy). Setting: Community pharmacies in Alberta, Canada Population: Pharmacists with prescriptive authority volunteered to participate. We enrolled patients with poorly controlled hypertension (BP > 140/90mmHg or > 130/80mmHg in those with diabetes), identified by their pharmacist. Intervention: Pharmacists were enrolled in the HC-PCP. They then provided this care to their patients with poorly controlled hypertension. Control: Pharmacists were given a copy of the Hypertension Canada Guidelines and provided usual care to their patients prior to undertaking the HC-PCP. Outcomes: The primary outcome was difference in change in systolic blood pressure between intervention and control groups at 3 months. We also evaluated patient satisfaction using the Consultant Satisfaction Questionnaire (CSQ). Results: We enrolled 890 patients from 61 pharmacies (104 pharmacists). Mean age was 61.6 (SD 14.1) years, 46% were female, 35.5% had diabetes, and mean baseline BP was 152.4 (SD 13.8)/87.0 (SD 10.6)mmHg. Change in systolic BP was 9.9 (SD 16.5) for the intervention group, compared to 9.9 (SD 16.2) mmHg in the control group, p = 0.29. Patient satisfaction using the CSQ was high at 76 (of 90 maximum). Conclusions: Most educational programs do not get evaluated at the patient level. RxPATH demonstrated that the HC-PCP intervention did not result in a greater reduction in systolic BP compared to control. While both groups did have clinically meaningful reductions in BP, possible reasons for lack of a difference with the intervention include: COVID-19 staffing/workload issues in pharmacies, selection bias for pharmacists interested in hypertension/contamination of usual care group, and short follow-up duration. Feedback on the HC-PCP from pharmacists was positive, patient satisfaction was high, and we plan to make this program widely available to primary care providers.

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)0.004
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Randomized trial · Consensus signal: Randomized trial
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.994
Threshold uncertainty score0.022

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.004
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.0060.001

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 head0.398
GPT teacher head0.472
Teacher spread0.075 · 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 designRandomized trial
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
Published2023
Admission routes2
Has abstractyes

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