Dataset Information

Factors associated with non-adherence to insulin and non-insulin medications in patients with poorly controlled diabetes.

ABSTRACT:

Objectives

To evaluate differences in factors associated with self-reported medication non-adherence to insulin and non-insulin medications in patients with uncontrolled type 2 diabetes.

Methods

In this secondary analysis of a randomized trial in patients with obesity and uncontrolled type 2 diabetes, multivariable logistic regression was used to evaluate associations between several clinical factors (measured with survey questionnaires at study baseline) and self-reported non-adherence to insulin and non-insulin medications.

Results

Among 263 patients, reported non-adherence was 62% (52% for insulin, 55% for non-insulin medications). Reported non-adherence to non-insulin medications was less likely in white versus non-white patients (odds ratio (OR) = 0.42; 95%CI: 0.22,0.80) and with each additional medication taken (OR = 0.75; 95%CI: 0.61,0.93). Non-adherence to non-insulin medications was more likely with each point increase in a measure of diabetes medication intensity (OR = 1.43; 95%CI: 1.01,2.03), the Problem Areas in Diabetes (PAID) score (OR = 1.06; 95%CI: 1.02,1.12), and in men versus women (OR = 3.03; 95%CI: 1.06,8.65). For insulin, reporting non-adherence was more likely (OR = 1.02; 95%CI: 1.00,1.04) with each point increase in the PAID.

Discussion

Despite similar overall rates of reported non-adherence to insulin and non-insulin medications, factors associated with reported non-adherence to each medication type differed. These findings may help tailor approaches to supporting adherence in patients using different types of diabetes medications.

SUBMITTER: Sagalla N

PROVIDER: S-EPMC8995079 | biostudies-literature | 2022 Jun

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Factors associated with non-adherence to insulin and non-insulin medications in patients with poorly controlled diabetes.

Sagalla Nicole N Yancy William S WS Edelman David D Jeffreys Amy S AS Coffman Cynthia J CJ Voils Corrine I CI Alexopoulos Anastasia-Stefania AS Maciejewski Matthew L ML Dar Moahad M Crowley Matthew J MJ

Chronic illness 20201025 2

<h4>Objectives</h4>To evaluate differences in factors associated with self-reported medication non-adherence to insulin and non-insulin medications in patients with uncontrolled type 2 diabetes.<h4>Methods</h4>In this secondary analysis of a randomized trial in patients with obesity and uncontrolled type 2 diabetes, multivariable logistic regression was used to evaluate associations between several clinical factors (measured with survey questionnaires at study baseline) and self-reported non-adh ...[more]

PMID: 33100020

Similar Datasets

Project description:PurposeMetformin is the first-line antidiabetic drug and shown to reduce cardiovascular risk independent from its glucose lowering action. Particularly in poorly controlled diabetes, tissue factor (TF) is expressed in the vasculature and accounts for thromboembolic complications. Here, we aimed to assess the effect of metformin on TF activity and markers of vascular inflammation in poorly controlled type 2 diabetes.MethodsIn a cohort of patients with uncontrolled type 2 diabetes (glycosylated hemoglobin 8.39 ± 0.24%, 68.1 ± 2.6 mmol/mol, n = 46) of whom half of the individuals were treated with metformin and the other half did not receive metformin as part of an anti-diabetic combination therapy, we assessed TF activity and markers of vascular inflammation. In vitro, human monocytic cells (THP-1) were exposed to metformin and TF expression measured in the presence and absence of the AMP-activated protein kinase (AMPK) activator 5-aminoimidazole-4-carboxamide riboside (AICAR) or the AMPK inhibitor compound C.ResultsIn the patients, metformin treatment was associated with lower levels of TF protein (241.5 ± 19 vs. 315.4 ± 25 pg/mL, p = 0.03) and reduced TF activity (408.9 ± 49 vs. 643.8 ± 47 U/mL, p = 0.001) compared with controls. Moreover, the patients on metformin showed lower levels of vascular cell adhesion molecule (VCAM)1 (26.6 ± 1.4 vs. 35.03 ± 3.1 ng/mL, p = 0.014) and higher expression of miR-126-3p/U6sno (11.39 ± 2.8 vs. 4.26 ± 0.9, p = 0.006), a known post-transcriptional down regulator of TF and VCAM1. In vitro, metformin dose-dependently reduced lipopolysaccharide (LPS)-induced TF expression in THP-1 cells. The AMPK activator AICAR alone lowered TF expression in THP-1, while the AMPK inhibitor compound C abrogated the metformin-dependent reduction in TF expression.ConclusionsOur data are the first to report that metformin is associated with reduced plasma TF procoagulant activity possibly explaining-at least in part-the vasculoprotective properties of metformin.

Project description:ImportanceMedication adherence is essential to diabetes care. Patient-physician language barriers may affect medication adherence among Latino individuals.ObjectiveTo determine the association of patient race/ethnicity, preferred language, and physician language concordance with patient adherence to newly prescribed diabetes medications.Design, setting, and participantsThis observational study was conducted from January 1, 2006, to December 31, 2012, at a large integrated health care delivery system with professional interpreter services. Insured patients with type 2 diabetes, including English-speaking white, English-speaking Latino, or limited English proficiency (LEP) Latino patients with newly prescribed diabetes medication.ExposuresPatient race/ethnicity, preferred language, and physician self-reported Spanish-language fluency.Main outcomes and measuresPrimary nonadherence (never dispensed), early-stage nonpersistence (dispensed only once), late-stage nonpersistence (received ≥2 dispensings, but discontinued within 24 months), and inadequate overall medication adherence (>20% time without sufficient medication supply during 24 months after initial prescription).ResultsParticipants included 21 878 white patients, 5755 English-speaking Latino patients, and 3205 LEP Latino patients with a total of 46 131 prescriptions for new diabetes medications. Among LEP Latino patients, 50.2% (n = 1610) had a primary care physician reporting high Spanish fluency. For oral medications, early adherence varied substantially: 1032 LEP Latino patients (32.2%), 1565 English-speaking Latino patients (27.2%), and 4004 white patients (18.3%) were either primary nonadherent or early nonpersistent. Inadequate overall adherence was observed in 1929 LEP Latino patients (60.2%), 2975 English-speaking Latino patients (51.7%), and 8204 white patients (37.5%). For insulin, early-stage nonpersistence was 42.8% among LEP Latino patients (n = 1372), 34.4% among English-speaking Latino patients (n = 1980), and 28.5% among white patients (n = 6235). After adjustment for patient and physician characteristics, LEP Latino patients were more likely to be nonadherent to oral medications and insulin than English-speaking Latino patients (relative risks from 1.11 [95% CI, 1.06-1.15] to 1.17 [95% CI, 1.02-1.34]; P < .05) or white patients (relative risks from 1.36 [95% CI, 1.31-1.41] to 1.49 [95% CI, 1.32-1.69]; P < .05). English-speaking Latino patients were more likely to be nonadherent compared with white patients (relative risks from 1.23 [95% CI, 1.19-1.27] to 1.30 [95% CI, 1.23-1.39]; P < .05). Patient-physician language concordance was not associated with rates of nonadherence among LEP Latinos (relative risks from 0.92 [95% CI, 0.71-1.19] to 1.04 [95% CI, 0.97-1.1]; P > .28).Conclusions and relevanceNonadherence to newly prescribed diabetes medications is substantially greater among Latino than white patients, even among English-speaking Latino patients. Limited English proficiency Latino patients are more likely to be nonadherent than English-speaking Latino patients independent of the Spanish-language fluency of their physicians. Interventions beyond access to interpreters or patient-physician language concordance will be required to improve medication adherence among Latino patients with diabetes.

Dataset Information

Factors associated with non-adherence to insulin and non-insulin medications in patients with poorly controlled diabetes.

Objectives

Methods

Results

Discussion

Publications

Factors associated with non-adherence to insulin and non-insulin medications in patients with poorly controlled diabetes.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets