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.

Daily Chlorhexidine Bath for Health Care Associated Infection Prevention (CLEAN-IT): protocol for a multicenter cluster randomized crossover open-label trial.

BACKGROUND: Critically ill patients are at increased risk of health care-associated infections due to various devices (central line-associated bloodstream infection, catheter-associated urinary tract infection, and ventilator-associated pneumonia), which pose a significant threat to this population. Among several strategies, daily bathing with chlorhexidine digluconate, a water-soluble antiseptic, has been studied as an intervention to decrease the incidence of health care-associated infections in the intensive care unit; however, its ability to reduce all health care-associated infections due to various devices is unclear. We designed the Daily Chlorhexidine Bath for Health Care Associated Infection Prevention (CLEAN-IT) trial to assess whether daily chlorhexidine digluconate bathing reduces the incidence of health care-associated infections in critically ill patients compared with soap and water bathing. METHODS: The CLEAN-IT trial is a multicenter, open-label, cluster randomized crossover clinical trial. All adult patients admitted to the participating intensive care units will be included in the trial. Each cluster (intensive care unit) will be randomized to perform either initial chlorhexidine digluconate bathing or soap and water bathing with crossover for a period of 3 to 6 months, depending on the time of each center's entrance to the study, with a 1-month washout period between chlorhexidine digluconate bathing and soap and water bathing transitions. The primary outcome is the incidence of health care-associated infections due to devices. The secondary outcomes are the incidence of each specific health care-associated infection, rates of microbiological cultures positive for multidrug-resistant pathogens, antibiotic use, intensive care unit and hospital length of stay, and intensive care unit and hospital mortality. CONCLUSION: The CLEAN-IT trial will be used to study feasible and affordable interventions that might reduce the health care-associated infection burden in critically ill patients.

IMPACTO-MR: a Brazilian nationwide platform study to assess infections and multidrug resistance in intensive care units. / IMPACTO-MR: um estudo brasileiro de plataforma nacional para avaliar infecções e multirresistência em unidades de terapia intensiva.

OBJECTIVE: To describe the IMPACTO-MR, a Brazilian nationwide intensive care unit platform study focused on the impact of health care-associated infections due to multidrug-resistant bacteria. METHODS: We described the IMPACTO-MR platform, its development, criteria for intensive care unit selection, characterization of core data collection, objectives, and future research projects to be held within the platform. RESULTS: The core data were collected using the Epimed Monitor System® and consisted of demographic data, comorbidity data, functional status, clinical scores, admission diagnosis and secondary diagnoses, laboratory, clinical, and microbiological data, and organ support during intensive care unit stay, among others. From October 2019 to December 2020, 33,983 patients from 51 intensive care units were included in the core database. CONCLUSION: The IMPACTO-MR platform is a nationwide Brazilian intensive care unit clinical database focused on researching the impact of health care-associated infections due to multidrug-resistant bacteria. This platform provides data for individual intensive care unit development and research and multicenter observational and prospective trials.

OBJETIVO: Descrever o IMPACTO-MR, um estudo brasileiro de plataforma nacional em unidades de terapia intensiva focado no impacto das infecções por bactérias multirresistentes relacionadas à assistência à saúde. MÉTODOS: Descrevemos a plataforma IMPACTO-MR, seu desenvolvimento, critérios para seleção das unidades de terapia intensiva, caracterização da coleta de dados, objetivos e projetos de pesquisa futuros a serem realizados na plataforma. RESULTADOS: Os dados principais foram coletados por meio do Epimed Monitor System® e consistiram em dados demográficos, dados de comorbidades, estado funcional, escores clínicos, diagnóstico de internação e diagnósticos secundários, dados laboratoriais, clínicos e microbiológicos e suporte de órgãos durante a internação na unidade de terapia intensiva, entre outros. De outubro de 2019 a dezembro de 2020, 33.983 pacientes de 51 unidades de terapia intensiva foram incluídos no banco de dados principal. CONCLUSÃO: A plataforma IMPACTO-MR é um banco de dados clínico brasileiro de unidades de terapia intensiva focado na pesquisa do impacto das infecções por bactérias multirresistentes relacionadas à assistência à saúde. Essa plataforma fornece dados para o desenvolvimento e pesquisa de unidades de terapia intensiva individuais e ensaios clínicos observacionais e prospectivos multicêntricos.

Effect of a Multifaceted Quality Improvement Intervention on the Prescription of Evidence-Based Treatment in Patients at High Cardiovascular Risk in Brazil: The BRIDGE Cardiovascular Prevention Cluster Randomized Clinical Trial.

Importance: Studies have found that patients at high cardiovascular risk often fail to receive evidence-based therapies in community practice. Objective: To evaluate whether a multifaceted quality improvement intervention can improve the prescription of evidence-based therapies. Design, Setting, and Participants: In this 2-arm cluster randomized clinical trial, patients with established atherothrombotic disease from 40 public and private outpatient clinics (clusters) in Brazil were studied. Patients were recruited from August 2016 to August 2017, with follow-up to August 2018. Data were analyzed in September 2018. Interventions: Case management, audit and feedback reports, and distribution of educational materials (to health care professionals and patients) vs routine practice. Main Outcomes and Measures: The primary end point was prescription of evidence-based therapies (ie, statins, antiplatelet therapy, and angiotensin-converting enzyme inhibitors or angiotensin receptor blockers) using the all-or-none approach at 12 months after the intervention period in patients without contraindications. Results: Of the 1619 included patients, 1029 (63.6%) were male, 1327 (82.0%) had coronary artery disease (843 [52.1%] with prior acute myocardial infarction), 355 (21.9%) had prior ischemic stroke or transient ischemic attack, and 197 (12.2%) had peripheral vascular disease, and the mean (SD) age was 65.6 (10.5) years. Among randomized clusters, 30 (75%) were cardiology sites, 6 (15%) were primary care units, and 26 (65%) were teaching institutions. Among eligible patients, those in intervention clusters were more likely to receive a prescription of evidence-based therapies than those in control clusters (73.5% [515 of 701] vs 58.7% [493 of 840]; odds ratio, 2.30; 95% CI, 1.14-4.65). There were no differences between the intervention and control groups with regards to risk factor control (ie, hyperlipidemia, hypertension, or diabetes). Rates of education for smoking cessation were higher among current smokers in the intervention group than in the control group (51.9% [364 of 701] vs 18.2% [153 of 840]; odds ratio, 11.24; 95% CI, 2.20-57.43). The rate of cardiovascular mortality, acute myocardial infarction, and stroke was 2.6% for patients from intervention clusters and 3.4% for those in the control group (hazard ratio, 0.76; 95% CI, 0.43-1.34). Conclusions and Relevance: Among Brazilian patients at high cardiovascular risk, a quality improvement intervention resulted in improved prescription of evidence-based therapies. Trial Registration: ClinicalTrials.gov identifier: NCT02851732.

IMPACTO-MR: um estudo brasileiro de plataforma nacional para avaliar infecções e multirresistência em unidades de terapia intensiva / IMPACTO-MR: a Brazilian nationwide platform study to assess infections and multidrug resistance in intensive care units

RESUMO Objetivo: Descrever o IMPACTO-MR, um estudo brasileiro de plataforma nacional em unidades de terapia intensiva focado no impacto das infecções por bactérias multirresistentes relacionadas à assistência à saúde. Métodos: Descrevemos a plataforma IMPACTO-MR, seu desenvolvimento, critérios para seleção das unidades de terapia intensiva, caracterização da coleta de dados, objetivos e projetos de pesquisa futuros a serem realizados na plataforma. Resultados: Os dados principais foram coletados por meio do Epimed Monitor System® e consistiram em dados demográficos, dados de comorbidades, estado funcional, escores clínicos, diagnóstico de internação e diagnósticos secundários, dados laboratoriais, clínicos e microbiológicos e suporte de órgãos durante a internação na unidade de terapia intensiva, entre outros. De outubro de 2019 a dezembro de 2020, 33.983 pacientes de 51 unidades de terapia intensiva foram incluídos no banco de dados principal. Conclusão: A plataforma IMPACTO-MR é um banco de dados clínico brasileiro de unidades de terapia intensiva focado na pesquisa do impacto das infecções por bactérias multirresistentes relacionadas à assistência à saúde. Essa plataforma fornece dados para o desenvolvimento e pesquisa de unidades de terapia intensiva individuais e ensaios clínicos observacionais e prospectivos multicêntricos.

ABSTRACT Objective: To describe the IMPACTO-MR, a Brazilian nationwide intensive care unit platform study focused on the impact of health care-associated infections due to multidrug-resistant bacteria. Methods: We described the IMPACTO-MR platform, its development, criteria for intensive care unit selection, characterization of core data collection, objectives, and future research projects to be held within the platform. Results: The core data were collected using the Epimed Monitor System® and consisted of demographic data, comorbidity data, functional status, clinical scores, admission diagnosis and secondary diagnoses, laboratory, clinical, and microbiological data, and organ support during intensive care unit stay, among others. From October 2019 to December 2020, 33,983 patients from 51 intensive care units were included in the core database. Conclusion: The IMPACTO-MR platform is a nationwide Brazilian intensive care unit clinical database focused on researching the impact of health care-associated infections due to multidrug-resistant bacteria. This platform provides data for individual intensive care unit development and research and multicenter observational and prospective trials.