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Determinants of glycaemic control in a practice setting: the role of weight loss and treatment adherence (The DELTA Study).

McAdam-Marx C, Bellows BK, Unni S, Mukherjee J, Wygant G, Iloeje U, Liberman JN, Ye X, Bloom FJ, Brixner DI - Int. J. Clin. Pract. (2014)

Bottom Line: Patient-reported medication adherence was assessed per the Medication Adherence Reporting Scale.Most patients (67.9%) reported being adherent to the index diabetes medication.It is important to consider weight-effect properties, in addition to patient-centric adherence counselling, when prescribing diabetes therapy.

View Article: PubMed Central - PubMed

Affiliation: Pharmacotherapy Outcomes Research Center, University of Utah, Salt Lake City, UT, USA.

No MeSH data available.


Related in: MedlinePlus

Structural equation model (SEM) diagram. This figure shows the associations examined in the SEM. In the diagram, endogenous variables are predicted by other variables, exogenous variables are not predicted by any other variables, and latent variables are represented as circles
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fig01: Structural equation model (SEM) diagram. This figure shows the associations examined in the SEM. In the diagram, endogenous variables are predicted by other variables, exogenous variables are not predicted by any other variables, and latent variables are represented as circles

Mentions: Weight and HbA1c outcomes were reported overall and stratified by drug class and adherence. A structural equation model (SEM) was developed to simultaneously assess the associations between baseline characteristics, index date diabetes drug class, self-reported adherence, weight changes and HbA1c goal attainment considering patient medication beliefs and perceptions (Figure1). SEM allows for the simultaneous examination of multiple endogenous variables (similar to dependent or outcome variables) from multiple exogenous variables (similar to independent variables) and latent variables (not directly measured in the data) 30. In addition, endogenous/outcome variables, such as weight loss, can be outcomes as well as predictors of other endogenous/outcome variables, such as attainment of good glycaemic control. This approach differs from logistic or linear regression techniques as they are only able to consider one outcome variable at a time. An SEM was deemed appropriate for this study because multiple outcomes (i.e., weight change and HbA1c), were being considered, as was the association between the two outcomes. Analyses were performed using sas 9.2 (SAS Institute, Cary, NC) and Mplus 6.11 (Muthen & Muthen, Los Angeles, CA).


Determinants of glycaemic control in a practice setting: the role of weight loss and treatment adherence (The DELTA Study).

McAdam-Marx C, Bellows BK, Unni S, Mukherjee J, Wygant G, Iloeje U, Liberman JN, Ye X, Bloom FJ, Brixner DI - Int. J. Clin. Pract. (2014)

Structural equation model (SEM) diagram. This figure shows the associations examined in the SEM. In the diagram, endogenous variables are predicted by other variables, exogenous variables are not predicted by any other variables, and latent variables are represented as circles
© Copyright Policy - open-access
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC4232853&req=5

fig01: Structural equation model (SEM) diagram. This figure shows the associations examined in the SEM. In the diagram, endogenous variables are predicted by other variables, exogenous variables are not predicted by any other variables, and latent variables are represented as circles
Mentions: Weight and HbA1c outcomes were reported overall and stratified by drug class and adherence. A structural equation model (SEM) was developed to simultaneously assess the associations between baseline characteristics, index date diabetes drug class, self-reported adherence, weight changes and HbA1c goal attainment considering patient medication beliefs and perceptions (Figure1). SEM allows for the simultaneous examination of multiple endogenous variables (similar to dependent or outcome variables) from multiple exogenous variables (similar to independent variables) and latent variables (not directly measured in the data) 30. In addition, endogenous/outcome variables, such as weight loss, can be outcomes as well as predictors of other endogenous/outcome variables, such as attainment of good glycaemic control. This approach differs from logistic or linear regression techniques as they are only able to consider one outcome variable at a time. An SEM was deemed appropriate for this study because multiple outcomes (i.e., weight change and HbA1c), were being considered, as was the association between the two outcomes. Analyses were performed using sas 9.2 (SAS Institute, Cary, NC) and Mplus 6.11 (Muthen & Muthen, Los Angeles, CA).

Bottom Line: Patient-reported medication adherence was assessed per the Medication Adherence Reporting Scale.Most patients (67.9%) reported being adherent to the index diabetes medication.It is important to consider weight-effect properties, in addition to patient-centric adherence counselling, when prescribing diabetes therapy.

View Article: PubMed Central - PubMed

Affiliation: Pharmacotherapy Outcomes Research Center, University of Utah, Salt Lake City, UT, USA.

No MeSH data available.


Related in: MedlinePlus