ArticleAnnals of Saudi medicine
Predictors of medication regimen complexity and its impact on hemoglobin a1c in type 2 diabetes patients: a retrospective analysis in ambulatory care in Makkah City.
Article in Annals of Saudi medicine. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
3 citing papers in PubMed.
- Article
- Article
- The role of medication regimen complexity in diabetes management: a rapid review.Therapeutic advances in endocrinology and metabolism · 2025Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundType 2 diabetes mellitus (T2DM) is a widespread chronic disease that poses a significant management challenge due to the complexity of the associated medication regimens, which can have a considerable impact on patient outcomes.
objectivesExplore the complexity level of diabetes medications among patients with T2DM and to identify the predictors of medication regimen complexity (MRC) and its correlation with hemoglobin A1C (HbA1c) levels.
designRetrospective, cross-sectional study.
settingAn ambulatory care setting of a tertiary hospital in Makkah City, Saudi Arabia. PATIENTS AND
methodsPatients with T2DM referred to the diabetic clinic were identified and assessed for eligibility. The data were collected from patient electronic medical records between October 2022 and September 2023. The MRC Index was used to evaluate the complexity of the patients' medication regimens. MAIN OUTCOMES MEASURES: MRC index scores and HbA1c levels. SAMPLE SIZE: 353 records of patients with T2DM.
resultsThe analysis revealed that 61.8% (n=218) of patients had high MRC, with the dosing frequency contributing significantly to their MRC (mean=3.9, SD=1.9). Having polypharmacy and longstanding T2DM were predictors of high MRC (odds ratios=4.9 and 2.6, respectively;
conclusionThe study findings highlight the importance of considering MRC in managing T2DM. Simplifying medication regimens and optimizing medication management strategies can improve patient outcomes. Further research is needed to explore interventions to reduce MRC and enhance diabetes management in this population. LIMITATIONS: Retrospective study design measuring the MRC at a diabetes-specific level.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.