Predictores e impacto de la adopción de programación basada en la evidencia en la incidencia de terapias del desfibrilador automático implantable / Predictors of adoption and impact of evidence-based programming on the incidence of implantable cardioverter-defibrillator therapies

Introducción y objetivos El estudio ADVANCE III mostró una reducción de terapias del desfibrilador automático implantable (DAI) con el empleo de tiempos de detección de arritmia prolongados. Se describe la adopción y el impacto de dicha estrategia en la incidencia de terapias del DAI. Métodos Estudio observacional retrospectivo de pacientes con implante de DAI Medtronic (2005-2016) en un registro multicéntrico (UMBRELLA-NCT01561144). Se describe la evolución de la adopción de programación ADVANCE en relación con: publicación del estudio, implementación de una campaña de formación y publicación de un consenso de expertos. Se identificaron con regresión logística los predictores de la adopción. Se comparó la incidencia de terapias en pacientes con y sin programación ADVANCE estimando la razón de tasas de incidencia ajustada (RTIa) mediante regresión binomial negativa. Resultados Se incluyó a 3.528 pacientes. Se utilizó la estrategia ADVANCE en el 20% del total y el 44% al final del estudio. La adopción se incrementó tras publicarse el estudio ADVANCE, y en menor grado tras la campaña de formación y consenso de expertos. Predictores de la adopción: DAI con detección nominal 30/40 (ORa=4,4; IC95%, 3,5-5,4), implantador electrofisiólogo (ORa=1,7; IC95%, 1,4-2,2) y prevención secundaria (ORa=3,2; IC95%, 2,6-3,9). El implante de DAI bicameral (ORa=0,6; IC95%, 0,5-0,8) o tricameral (ORa=0,5; IC95%, 0,4-0,7) se asoció con menor adopción. La programación ADVANCE se asoció con reducción de terapias totales (RTIa=0,77; IC95%, 0,69-0,86) y choques inapropiados (RTIa=0,66; IC95%, 0,52-0,85). Conclusiones La adopción de la programación ADVANCE es poco amplia y puede mejorarse mediante una adecuada selección de los parámetros nominales. Emplearla se asocia con una reducción de las terapias del DAI. (AU)

Introduction and objectives The ADVANCE III trial showed that a delayed-detection strategy reduces implantable cardioverter-defibrillator (ICD) therapies. Here, we describe the adherence to and predictors of ADVANCE adoption and compare ICD therapy rates between patients with and without ADVANCE programming. Methods This observational retrospective study analyzed patients implanted with Medtronic ICDs included from 2005 to 2016 in a Spanish national multicenter registry (UMBRELLA database; ClinicalTrials.gov, NCT01561144). Changes in ADVANCE programming adoption were described in relation to a) publication of the ADVANCE trial, b) implementation of an “ADVANCE awareness” campaign, and c) publication of an expert consensus statement. Multivariate logistic regression identified predictors of adoption. Therapy incidence rates were compared between groups by estimating the adjusted incidence rate ratio (aIRR) using negative binomial regression. Results A total of 3528 patients were included. An ADVANCE strategy was used in 20% overall and in 44% at the end of the study. ADVANCE III adoption increased after trial publication, with less growth after an “ADVANCE awareness” campaign and after expert consensus statement publication. Predictors of ADVANCE adoption were as follows: ICD device with a nominal number of intervals to detect 30/40 (aOR, 4.4; 95%CI, 3.5-5.4), implantation by an electrophysiologist (aOR, 1.7; 95%CI, 1.4-2.2), and secondary prevention (aOR, 3.2; 95%CI, 2.6-3.9). Dual-chamber ICDs (aOR, 0.6; 95%CI, 0.5-0.8) and cardiac resynchronization-defibrillators (aOR, 0.5; 95%CI, 0.4-0.7) were associated with lower adoption. ADVANCE programming was associated with reduced total therapy burden (aIRR, 0.77; 95%CI, 0.69-0.86) and fewer inappropriate shocks (aIRR, 0.66; 95%CI, 0.52-0.85). Conclusions ADVANCE adoption remains modest and can be improved through evidence-driven selection of nominal ICD settings. ... (AU)

Predictors of adoption and impact of evidence-based programming on the incidence of implantable cardioverter-defibrillator therapies.

INTRODUCTION AND OBJECTIVES: The ADVANCE III trial showed that a delayed-detection strategy reduces implantable cardioverter-defibrillator (ICD) therapies. Here, we describe the adherence to and predictors of ADVANCE adoption and compare ICD therapy rates between patients with and without ADVANCE programming. METHODS: This observational retrospective study analyzed patients implanted with Medtronic ICDs included from 2005 to 2016 in a Spanish national multicenter registry (UMBRELLA database; ClinicalTrials.gov, NCT01561144). Changes in ADVANCE programming adoption were described in relation to a) publication of the ADVANCE trial, b) implementation of an "ADVANCE awareness" campaign, and c) publication of an expert consensus statement. Multivariate logistic regression identified predictors of adoption. Therapy incidence rates were compared between groups by estimating the adjusted incidence rate ratio (aIRR) using negative binomial regression. RESULTS: A total of 3528 patients were included. An ADVANCE strategy was used in 20% overall and in 44% at the end of the study. ADVANCE III adoption increased after trial publication, with less growth after an "ADVANCE awareness" campaign and after expert consensus statement publication. Predictors of ADVANCE adoption were as follows: ICD device with a nominal number of intervals to detect 30/40 (aOR, 4.4; 95%CI, 3.5-5.4), implantation by an electrophysiologist (aOR, 1.7; 95%CI, 1.4-2.2), and secondary prevention (aOR, 3.2; 95%CI, 2.6-3.9). Dual-chamber ICDs (aOR, 0.6; 95%CI, 0.5-0.8) and cardiac resynchronization-defibrillators (aOR, 0.5; 95%CI, 0.4-0.7) were associated with lower adoption. ADVANCE programming was associated with reduced total therapy burden (aIRR, 0.77; 95%CI, 0.69-0.86) and fewer inappropriate shocks (aIRR, 0.66; 95%CI, 0.52-0.85). CONCLUSIONS: ADVANCE adoption remains modest and can be improved through evidence-driven selection of nominal ICD settings. ADVANCE programming is associated with reduced therapy rates in real-world ICD recipients.

Sustained, new, never, and discontinued tobacco cessation services adopters.

This study examined longitudinal adoption patterns of tobacco cessation (TC) counseling and TC pharmacotherapy in substance use disorder treatment programs and baseline predictors (program characteristics and program culture) of these patterns 12-months later. Telephone survey data were collected in 2010 from 685 randomly sampled program administrators working in geographically representative treatment programs across the U.S. Regarding TC counseling, about 41% of programs never adopt, 33% sustain, and 27% change adoption patterns. Concerning TC pharmacotherapy, about 62% of programs never adopt, 19% sustain, and 18% change adoption patterns. The three most consistent predictors of counseling adoption patterns are TC reimbursement, TC financial resource availability, and smoking culture. For TC pharmacotherapy adoption patterns, the most consistent predictors include profit status, TC reimbursement, level of care, TC financial resource availability, and smoking culture. Findings provide insights into program characteristics and program culture as both potential barriers and facilitators of longitudinal TCS adoption.

Innovation attributes and adoption decisions: perspectives from leaders of a national sample of addiction treatment organizations.

Drawing on diffusion theory to further knowledge about evidence-based practices (EBPs) in the treatment of substance use disorders (SUDs), this study describes the perceived importance of innovation attributes in adoption decisions within a national sample of SUD treatment organizations. Face-to-face interviews were conducted with leaders of 307 organizations. A typology differentiated organizations reporting: (1) adoption of a treatment innovation in the past year ("recent adoption"), (2) plans to adopt an innovation in the upcoming year ("planned adoption"), or (3) no actual or planned adoption ("non-adoption"). About 30.7% of organizations reported recent adoption, 20.5% indicated planned adoption, and 48.8% were non-adopters. Leaders of organizations reporting recent adoption (n=93) or planned adoption (n=62) rated the importance of innovation attributes, including relative advantage, compatibility, complexity, and observability, on these adoption decisions using a Likert scale that ranged from 0 to 5. Innovation attributes most strongly endorsed were consistency with the program's treatment philosophy (mean=4.47, SD=1.03), improvement in the program's reputation with referral sources (mean=4.00, SD=1.33), reputational improvement with clients and their families (mean=3.98, SD=1.31), and reductions in treatment dropout (mean=3.75, SD=1.54). Innovation characteristics reflecting organizational growth and implementation costs were less strongly endorsed. Adopters and planners were generally similar in their importance ratings. There were modest differences in importance ratings when pharmacological innovations were compared to psychosocial interventions. These findings are consistent with diffusion theory and suggest that efforts to link EBPs with client satisfaction and potential reputational benefits may enhance the diffusion of EBPs. Attention to these attributes when developing and evaluating SUD treatment interventions may enhance efforts to increase subsequent adoption.