Publications by authors named "Nicole Sagalla"

Risk factors for nonadherence to osteoporosis medication have been well described for cohorts of women with osteoporosis, but little is known about predictors or mediators of nonadherence in men. We conducted a secondary analysis of a national cohort of male veterans to explore factors associated with nonadherence to osteoporosis medications. We included veterans with a prescription for an oral bisphosphonate or calcitonin between 2000 and 2010.

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Unlabelled: We determined the extent of and reasons for non-adherence to oral bisphosphonates among veterans and conducted a pilot text message reminder application aimed at the most commonly cited reason for non-adherence. The intervention was found to be acceptable and feasible.

Purpose: To evaluate the extent of and reasons for non-adherence to oral bisphosphonates among veterans and to assess the acceptability and feasibility of a pilot text message reminder application.

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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).

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Background: The risk for nephrogenic systemic fibrosis (NSF) after exposure to newer versus older gadolinium-based contrast agents (GBCAs) remains unclear.

Purpose: To synthesize evidence about NSF risk with newer versus older GBCAs across the spectrum of kidney function.

Data Sources: MEDLINE, EMBASE, Cochrane Central Register of Controlled Trials, and Web of Science for English-language references from inception to 5 March 2020.

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Objectives: The medication effect score reflects overall intensity of a diabetes regimen by consolidating dosage and potency of agents used. Little is understood regarding how medication intensity relates to clinical factors. We updated the medication effect score to account for newer agents and explored associations between medication effect score and patient-level clinical factors.

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