# Medication adherence trajectories and association with risk factors and clinical outcomes in type 2 diabetes treatment

**Authors:** Sara Mucherino, Valentina Orlando, Marcia Vervloet, Yvette Weesie, Liset van Dijk, Enrica Menditto, Yee Gary Ang, Yee Gary Ang, Yee Gary Ang, Yee Gary Ang, Yee Gary Ang, Yee Gary Ang

PMC · DOI: 10.1371/journal.pone.0342056 · PLOS One · 2026-02-20

## TL;DR

This study examines how medication adherence patterns in type 2 diabetes patients affect clinical outcomes like blood sugar and cholesterol levels over time.

## Contribution

The study introduces adherence trajectory modeling to identify distinct patient groups and links these patterns to clinical outcomes in type 2 diabetes.

## Key findings

- Four adherence patterns were identified, with perfect adherence associated with better long-term HbA1c and LDL cholesterol control.
- High-risk patients in the perfect-adherence group showed the most significant clinical improvements.
- Blood pressure improved slightly across all groups, but BMI changes were minimal.

## Abstract

Monitoring medication adherence and main clinical outcomes changes in type 2 diabetes (T2D) is essential for optimal patient management. This study aimed to compute and evaluate medication adherence in its three process phases among T2D patients treated with oral antidiabetic (OAD) medications assessing association with main clinical outcomes.

This retrospective cohort study included newly diagnosed T2D patients initiating OAD therapy within 2015–2019 identified from the Nivel Primary Care Database (Nivel-PCD) in the Netherlands. Initiation was operationalised as ≥2 OAD prescriptions within follow-up. Implementation was quantified monthly using the Continuous Multiple-interval Measure of Medication Availability (CMA9). Group-based trajectory modelling (k-means via AdhereR) identified adherence patterns over 12 months. Persistence was assessed with a permissible-gap rule on the same 12-month series. Clinical measures (HbA1c, LDL cholesterol, blood pressure, BMI) were evaluated at baseline and at 12 months, and HbA1c trends were analysed over time.

Among 3,404 T2D patients started an OAD treatment, four distinct adherence clusters were identified: perfect adherence (70.1%), slow decline (13.3%), low adherence (10.6%), and slow increase (6.0%). Overall initiation was 99%. One-year persistence ranged from 26% (low adherence group) to 98.8% (perfect adherence group). Patients in the perfect-adherence group had higher baseline HbA1c but showed lower HbA1c and LDL levels over time compared with other groups. Blood pressure improved slightly in all groups. Changes in BMI were minimal.

Adherence trajectories provide a dynamic view of patients’ behaviour and are associated with better glycaemic and lipid control. High-risk patients were often in the perfect-adherence group and appeared to gain the highest clinical benefit. These results support routine adherence monitoring and targeted, trajectory-informed interventions in T2D care.

## Linked entities

- **Diseases:** type 2 diabetes (MONDO:0005148)

## Full-text entities

- **Genes:** SLC5A2 (solute carrier family 5 member 2) [NCBI Gene 6524] {aka SGLT2}, INS (insulin) [NCBI Gene 3630] {aka IDDM, IDDM1, IDDM2, ILPR, IRDN, MODY10}
- **Diseases:** heart failure (MESH:D006333), obesity (MESH:D009765), T2D (MESH:D003924), CBS (MESH:D006712), retinopathy (MESH:D058437), cerebrovascular accident (MESH:D020521), overweight (MESH:D050177), OAD (MESH:D020820), thromboembolic (MESH:D013923), HbA1c (MESH:C564133), metabolic disorder (MESH:D008659), diabetic chronic condition (MESH:D002908), neuropathy (MESH:D009422), cognitive decline (MESH:D003072), PCD (MESH:D007619), CCI (MESH:D004194), ATC (MESH:D020763), chronic alcohol abuse (MESH:D000437), coronary heart disease (MESH:D003327), atherosclerosis (MESH:D050197), Hypertension (MESH:D006973), arterial obstruction (MESH:D001157), ischemic heart disease (MESH:D017202), vascular disease (MESH:D014652), atrial fibrillation (MESH:D001281), diabetes (MESH:D003920), acute myocardial infarction (MESH:D009203), cardiovascular disease (MESH:D002318), hypoglycemia (MESH:D007003), OADs (MESH:D000092582), angina pectoris (MESH:D000787), vascular (MESH:D057772), cerebrovascular (MESH:D002561)
- **Chemicals:** MPH (MESH:C041626), thiazolidinediones (MESH:D045162), sulfonylureas (MESH:D013453), biguanides (MESH:D001645), lipid (MESH:D008055), blood glucose (MESH:D001786), cholesterol (MESH:D002784), A10BG (-), Insulins (MESH:D061385)
- **Species:** Homo sapiens (human, species) [taxon 9606]

## Full text

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## References

53 references — full list in the complete paper: https://tomesphere.com/paper/PMC12923057/full.md

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Source: https://tomesphere.com/paper/PMC12923057