2014
DOI: 10.1080/08964289.2014.904767
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Patterns of Adherence to Oral Hypoglycemic Agents and Glucose Control among Primary Care Patients with Type 2 Diabetes

Abstract: We sought to examine whether there are patterns of oral hypoglycemic agent adherence among primary care patients with type 2 diabetes that are related to patient characteristics and clinical outcomes. Longitudinal analysis via growth curve mixture modeling was carried out to classify 180 patients who participated in an adherence intervention according to patterns of adherence to oral hypoglycemic agents across 12 weeks. Three patterns of change in adherence were identified: adherent, increasing adherence, and … Show more

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Cited by 15 publications
(19 citation statements)
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“…The three-pattern model presented in Figure 2 improved the model fit over the two- and four-pattern models yielding three adherence profile types. The three adherence profile types identified and employed for this analysis were: adherent (n=67), increasing adherence (n=52), and nonadherent (n=61) (de Vries McClintock et al, in press). Table 2 shows the effect of the intervention on glycemic control in models with and without mediation by adherence profile types.…”
Section: Resultsmentioning
confidence: 99%
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“…The three-pattern model presented in Figure 2 improved the model fit over the two- and four-pattern models yielding three adherence profile types. The three adherence profile types identified and employed for this analysis were: adherent (n=67), increasing adherence (n=52), and nonadherent (n=61) (de Vries McClintock et al, in press). Table 2 shows the effect of the intervention on glycemic control in models with and without mediation by adherence profile types.…”
Section: Resultsmentioning
confidence: 99%
“…For the analysis of mediation, we used our prior classifications of patients into latent longitudinal adherence profile (de Vries McClintock et al, in press). To obtain these profiles, we employed recent developments in statistical assessment of treatment effects or of course of depression in primary care, especially the general growth curve mixture model (GGCMM) (Jo & Muthen, 2001; B.…”
Section: Methodsmentioning
confidence: 99%
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“…Diabetes and depression are two of the most common problems seen in primary care settings. Co-morbid depression and diabetes result in poor adherence to medication and dietary regimens, poor glycemic control, reduced quality of life, and increased health care expenditures (de Vries McClintock, Morales, Small, & Bogner, 2014; Lustman & Clouse, 2005). Depression has been specifically linked to prognostic variables in diabetes such as micro- and macro-vascular complications (de Groot et al, 2001) as well as increased risk of mortality (Black, Markides, & Ray, 2003; Egede, Nietert, & Zheng, 2005; Katon et al, 2005; Zhang et al, 2005).…”
Section: Discussionmentioning
confidence: 99%