Rationale and design for a cluster randomized quality improvement trial to increase the uptake of evidence based therapies for patients at high cardiovascular risk: The bridge cardiovascular prevention trial

BACKGROUND: Translating evidence into clinical practice in the management of high cardiovascular risk patients is challenging. Few quality improvement interventions have rigorously evaluated their impact on both patient care and clinical outcomes. OBJECTIVES: The main objectives are to evaluate the impact of a multifaceted educational intervention on adherence to local guidelines for the prescription of statins, antiplatelets and angiotensin converting enzyme inhibitors or angiotensin II receptor blockers for high cardiovascular risk patients, as well as on the incidence of major cardiovascular events. DESIGN: We designed a pragmatic two arm cluster randomized trial involving 40 clusters. Clusters are randomized to receive a multifaceted quality improvement intervention or to routine practice (control). The multifaceted intervention includes: reminders, care algorithms, training of a case manager, audit and feedback reports, and distribution of educational materials to health care providers. The primary endpoint is the adherence to combined evidence-based therapies (statins, antiplatelet therapy and angiotensin converting enzyme inhibitors or angiotensin receptor blockers) at 12 months after the intervention period in patients without contra-indications for these medications. All analyses follow the intention-to-treat principle and take the cluster design into account using linear mixed logistic regression modeling. SUMMARY: If proven effective, this multifaceted intervention would have wide utility as a means of promoting optimal usage of evidence-based interventions for the management of high cardiovascular risk patients. (AU)

Prevalence, characteristics, and predictors of early termination of cardiovascular clinical trials due to low recruitment: insights from the ClinicalTrials.gov registry.

BACKGROUND: Early termination of clinical trials due to low recruitment represents an understudied challenge for clinical research. We aimed to describe characteristics of cardiovascular trials terminated because of low recruitment and identify the major predictors of such early termination. METHODS: We reviewed all cardiovascular clinical trials (7,042 studies) registered in ClinicalTrials.gov from February 29, 2000, to January 17, 2013, and assessed information about trials that were completed and those that were terminated early. Logistic regression models were developed to identify independent predictors of early termination due to low recruitment. RESULTS: Our search strategy identified 6,279 cardiovascular clinical trials, of which 684 (10.9%) were terminated prematurely. Of these halted trials, the main reason for termination was lower than expected recruitment (278 trials; 53.6%). When comparing trials that terminated early because of low recruitment with those that were completed, we found that studies funded by the National Institutes of Health or other US federal agencies (odds ratio [OR] 0.35, 95% confidence interval [CI] 0.14-0.89), studies of behavior/diet intervention (OR 0.35, 95% CI 0.19-0.65), and single-arm design studies (OR 0.57, 95% CI 0.42-0.78) were associated with a lower risk of early termination. University/hospital-funded (OR 1.52, 95% CI 1.10-2.10) and mixed-source-funded studies (OR 2.14, 95% CI 1.52-3.01) were associated with a higher likelihood of early termination due to lower than expected recruitment rates. CONCLUSIONS: Low recruitment represents the main cause of early termination of cardiovascular clinical trials. Funding source, type of intervention, and study design are factors associated with early termination due to low recruitment and might be good targets for improving enrollment into cardiovascular clinical trials.

Evaluation of sleep quality in patients with refractory seizures who undergo epilepsy surgery.

The aim of the study was to evaluate excessive daytime sleepiness and subjective sleep quality in patients who undergo epilepsy surgery for treatment of refractory partial seizures. Forty-eight patients were enrolled in this research study. All of them were evaluated 2 days before and 3 months after the surgery. Two questionnaires were used to assess daytime sleepiness (Epworth Sleepiness Scale [ESS]) and sleep quality (Pittsburgh Sleep Quality Index [PSQI]). Global PSQI was high (mean=5.65 SD=3.71) before the surgical procedure (P<0.001). PSQI evaluation revealed higher and statistically significant scores in three components as well as in the global score, when analyzed by predominance of daytime or nocturnal seizures. ESS and PSQI scores were also analyzed by gender, antiepileptic drug class, age, and seizure frequency, with no significant differences. We concluded that patients with partial recurrent seizures of temporal origin have poor subjective sleep quality that improves significantly after epilepsy surgery.