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Record W7010502641

Impact of Pharmacist Interventions on Health Outcomes of Patients with Type 2 Diabetes Mellitus in the Middle East: A Systematic Review

2025· article· en· W7010502641 on OpenAlexaboutno aff

Bibliographic record

VenueDOAJ (DOAJ: Directory of Open Access Journals) · 2025
Typearticle
Languageen
FieldArts and Humanities
TopicMedieval History and Crusades
Canadian institutionsnot available
Fundersnot available
KeywordsPsychological interventionPharmacistType 2 Diabetes MellitusMEDLINEClinical pharmacyPharmacyMeta-analysisRandomized controlled trial
DOInot available

Abstract

fetched live from OpenAlex

Hussain T Bakhsh Department of Pharmacy Practice, Faculty of Pharmacy, King Abdulaziz University, Jeddah, 22252, Saudi ArabiaCorrespondence: Hussain T Bakhsh, Department of Pharmacy Practice, Faculty of Pharmacy, King Abdulaziz University, Jeddah, 22252, Saudi Arabia, Tel +966 021 6400000/21146, Fax +966 021 6951696, Email htbakhsh@kau.edu.saAbstract: This systematic review aimed to evaluate the association between pharmacists’ interventions and health outcomes of patients with type 2 Diabetes Mellitus (DM) in the Middle East. A comprehensive database search was conducted in July 2024 using the electronic databases of PubMed, MEDLINE, Embase, Cochrane Library, Web of Science and Scopus. The search strategy involved the following keywords: “Impact”, “Effect”, “Pharmacist”, “Pharmacy services”, “Pharmaceutical Care”, “Intervention”, “Type 2 diabetes mellitus”, “diabetes”, and “Middle East”. Articles published in the English language between January 2010 and July 2024 related to the research question were included. The data extracted from the included papers were summarized using narrative data synthesis. Twelve articles were selected from 536 retrieved articles, with most studies conducted in hospitals (n = 10) and randomized clinical trials (n = 8). The quality of studies was evaluated using the Cochrane risk of bias tool for RCTs and the Newcastle-Ottawa Scale for non-randomized studies to ensure transparent evaluation of the study quality. Narrative synthesis was employed to address variations in study design, outcomes, and biases. Pharmacist interventions reported included patient education (n = 11), counseling (n = 5), drug therapy initiation (n = 5), and dosage adjustment (n = 5). Studies reported significant reductions in glycosylated (HbA1c) (range: 1.4– 1.78%) and fasting blood glucose levels (FBG) (range: 2.3– 53 mg/dL), decreased systolic and diastolic blood pressure (range: 4.65– 14.9 mmHg), body mass index (BMI) (range: 1– 2.44 kg/m2), cholesterol, triglycerides, and total cholesterol, and improved medication adherence, self-care activities, and knowledge of diabetes management. In this review, pharmacist interventions reported were associated with improved clinical and humanistic outcomes among type 2 DM patients in the Middle-East. Therefore, collaborative care models involving pharmacists and other healthcare practitioners in the management of type 2 DM should be considered by health policymakers in the region.Keywords: interventions, Middle East, pharmacist, pharmaceutical care, type 2 diabetes

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)0.007
metaresearch head score (Gemma)0.031
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (broad)
Consensus categoriesnone
DomainCandidate signal: Methods · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.993
Threshold uncertainty score0.038

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0070.031
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0070.007
Bibliometrics0.0050.006
Science and technology studies0.0010.001
Scholarly communication0.0020.002
Open science0.0010.001
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.407
GPT teacher head0.545
Teacher spread0.138 · 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.

Study designSystematic review
DomainMethods
GenreReview

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
Published2025
Admission routes1
Has abstractyes

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