MétaCan
Menu
Back to cohort

4CPS-255 The effect of an enhancing medication adherence programme for a type 2 diabetes mellitus network

2019· article· en· W2945528492 on OpenAlexfundno aff
T Pholchai

Bibliographic record

VenueSection 4: Clinical pharmacy services · 2019
Typearticle
Languageen
FieldMedicine
TopicMedication Adherence and Compliance
Canadian institutionsnot available
FundersChulabhorn Research InstituteCopperbelt UniversityKidney Foundation of Canada
KeywordsMedicinePharmacistPharmacyTest (biology)Family medicineType 2 Diabetes MellitusDiabetes mellitus

Abstract

fetched live from OpenAlex

Background The record of Rayong Hospital’s Tapong branch between October 2015 – September 2016 showed that there were 399 patients with HbA1C≥8 mg% and a mean 14.72% among total patients. The hospital team discovered this problem and created the programme to educate patients and consult them case-by-case. Purpose The aim of this study was to assess medication adherence and knowledge of type 2 diabetes mellitus (DM) patients upon completion of the proposed programme. Material and methods This study was conducted from November 2016 – August 2017 and obtained IRB from the Rayong Hospital. The questionaires were using for evaluating medication adherence and knowledge by pretest-post-test design. There were 30 purposively selected patients. The education programme was developed by the hospital team which contained topic pathology of type 2 DM, medication management, the important of medication, side effects, ADR, management of drug-related problems and diet control. The process of the programme was that at first visit, patients came to consult a doctor at the Rayong Hospital, Tapong branch. If patients had HbA1C≥8 mg%, the staff asked them to join the programme. When patients came to the pharmacy department, pharmacists gave them a pre-test, dispensing medicine and advice.The second visit was class education. On the third visit, patients saw the doctor again. After that, the pharmacist gave them the post-test. Results When comparing the pre-test and post-test medication adherence levels among those patients with high medication adherence scores, 53.33% of patients had improved significantly. When comparing the pre-test and post-test knowledge levels among those patients with high knowledge scores, 73.33% of patients had improved significantly. After attending the programme, patients had improved their medication adherence and knowledge statistically significantly (p<0.01). The patients’ HbA1C values reduced 2.72% on average after attending the programme, so this study can reduce their HbA1C clinically significantly. Conclusion This study result shows that medication adherence and knowledge of patients is effect to HbA1C control. Pharmacists’ intervention can help patients understand their pathology and medication management, and can improve their medication adherence and contribute to increased blood-sugar control. References and/or acknowledgements This research was advised by Dr Benjarath Pupacdi Javed, the Chulabhorn Research Institute and Ms Chonticha Ponchai, Na Tung Mang School. No conflict of interest.

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)0.002
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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.031
Threshold uncertainty score0.102

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0310.002

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 head0.075
GPT teacher head0.436
Teacher spread0.361 · 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 designObservational
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

Citations0
Published2019
Admission routes1
Has abstractyes

Explore more

Same venueSection 4: Clinical pharmacy servicesSame topicMedication Adherence and ComplianceFrench-language works237,207