Publications by authors named "Annie McNeill"

Objective: This study evaluates the effectiveness of the Training to Increase Minority Enrollment in Lupus Clinical Trials with Community Engagement (TIMELY) program on enhancing referrals of underrepresented patients to lupus clinical trials. TIMELY leverages two existing American College of Rheumatology online educational initiatives: Materials to Increase Minority Involvement in Clinical Trials (MIMICT), a continuing medical education activity for health care providers, and the community health worker (CHW) Lupus Clinical Trials Training (LuCTT). TIMELY introduced a unique roundtable meeting format to build on the existing online educational programs and facilitate discussions between local clinical trial sites and provider and CHW participants.

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Objective: To assess outcomes related to Lupus Therapeutics' Patient Advocates for Lupus Studies (LT-PALS), a peer-to-peer lupus clinical trial (LCT) education program designed to improve representation of diverse groups in LCTs. Patients with lupus and clinical trial participation experience were trained as peer educators (PALs) providing trial-agnostic education to trial-naive patients with lupus.

Methods: We used a two-arm, randomized pretest/posttest study design to evaluate outcomes related to LCT participation: knowledge, attitudes, self-efficacy, and intentions to participate in an LCT.

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Objectives: The objectives of this study were to assess the risk of severe coronavirus disease 2019 (COVID-19) outcomes in patients with mature B-cell non-Hodgkin lymphoma (mature B-cell NHL) compared with other cancers and to identify risk factors associated with severe COVID-19.

Methods: This study used Optum's electronic health record database. Risk factors were evaluated using multivariable logistic regression.

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A substantial proportion of patients with type 2 diabetes mellitus (T2DM) do not reach their target HbA1c level on metformin. The objective of this retrospective observational cohort study is to better characterize the distance between HbA1c target and patient's actual HbA1c level (the distance to goal), using a target HbA1c of 7.0% (53 mmol/mol), in patients with T2DM who have started metformin monotherapy.

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Objective: To describe patient and provider characteristics for patients with type 2 diabetes (T2DM) initiating basal insulin and describe basal insulin's impact on sulfonylurea (SU) discontinuation.

Methods: A retrospective cohort study was conducted using the HealthCore Integrated Research Database. Patients had ≥12 months of continuous coverage prior to initiating insulin, and were utilizing at least one anti-hyperglycemic drug at the time of insulin initiation.

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Renal impairment frequently accompanies heart failure (HF) and is a recognized independent risk factor for morbidity and mortality. Few data are available assessing the impact of worsening renal function (WRF) during hospitalization on health care resource use in patients with HF. Health Insurance Portability and Accountability Act-compliant, de-identified, clinical, laboratory, and economic data for patients admitted to a tertiary care medical center with a primary diagnosis of HF were extracted by MedMining and reviewed retrospectively by the authors.

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Purpose: This study examined the effect of childhood, adulthood, and cumulative socioeconomic status (cumSES) on the prevalence of metabolic syndrome (MetS) in middle-aged adults in the Atherosclerosis Risk in Communities Study (1987-1989).

Methods: Participants included 2,461 black and 8,536 white men and women 45 to 64 years of age without diabetes. Socioeconomic status (SES) measures from childhood, early adulthood, and mature adulthood were used to create a cumSES score.

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Objective: The objective of this study was to examine the association of individual socioeconomic status (iSES) and neighborhood SES (nSES) on the prevalence of metabolic syndrome (MetS) in the Atherosclerosis Risk in Communities Study (1987-1999).

Methods: Participants included 2932 black and 9777 white men and women aged 45 to 64 years without diabetes at baseline. Total combined family income for the past 12 months and six census tract socioeconomic measures combined into a composite index were used to quantify iSES and nSES, respectively.

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