Handoffs and transitions in critical care-understanding scalability: study protocol for a multicenter stepped wedge type 2 hybrid effectiveness-implementation trial.

BACKGROUND: The implementation of evidence-based practices in critical care faces specific challenges, including intense time pressure and patient acuity. These challenges result in evidence-to-practice gaps that diminish the impact of proven-effective interventions for patients requiring intensive care unit support. Research is needed to understand and address implementation determinants in critical care settings. METHODS: The Handoffs and Transitions in Critical Care-Understanding Scalability (HATRICC-US) study is a Type 2 hybrid effectiveness-implementation trial of standardized operating room (OR) to intensive care unit (ICU) handoffs. This mixed methods study will use a stepped wedge design with randomized roll out to test the effectiveness of a customized protocol for structuring communication between clinicians in the OR and the ICU. The study will be conducted in twelve ICUs (10 adult, 2 pediatric) based in five United States academic health systems. Contextual inquiry incorporating implementation science, systems engineering, and human factors engineering approaches will guide both protocol customization and identification of protocol implementation determinants. Implementation mapping will be used to select appropriate implementation strategies for each setting. Human-centered design will be used to create a digital toolkit for dissemination of study findings. The primary implementation outcome will be fidelity to the customized handoff protocol (unit of analysis: handoff). The primary effectiveness outcome will be a composite measure of new-onset organ failure cases (unit of analysis: ICU). DISCUSSION: The HATRICC-US study will customize, implement, and evaluate standardized procedures for OR to ICU handoffs in a heterogenous group of United States academic medical center intensive care units. Findings from this study have the potential to improve postsurgical communication, decrease adverse clinical outcomes, and inform the implementation of other evidence-based practices in critical care settings. TRIAL REGISTRATION: ClinicalTrials.gov identifier: NCT04571749 . Date of registration: October 1, 2020.

Does implementing a new intervention disrupt use of existing evidence-based autism interventions?

LAY ABSTRACT: Interventions for children with autism spectrum disorder are complex and often are not implemented successfully within schools. When new practices are introduced in schools, they often are layered on top of existing practices, with little attention paid to how introducing new practices affects the use of existing practices. This study evaluated how introducing a computer-assisted intervention, called TeachTown:Basics, affected the use of other evidence-based practices in autism support classrooms. We compared how often teachers reported using a set of evidence-based practices in classrooms that either had access to TeachTown:Basics or did not have the program. We found that teachers who had access to the computer-assisted intervention reported using the other evidence-based practices less often as the school year progressed. Teachers also reported that they liked the computer-assisted intervention, found it easy to use, and that it helped overcome challenges to implementing other evidence-based practices. This is important because the computer-assisted intervention did not improve child outcomes in a previous study and indicates that teachers may use interventions that are appealing and easier to implement, even when they do not have evidence to support their effectiveness. These findings support the idea of interventions' complexity and how well the intervention fits within the classroom affect how teachers use it and highlight the need to develop school-based interventions that both appeal to the practitioner and improve child outcomes.

Moving organizational theory in health care forward: A discussion with suggestions for critical advancements.

In May 2019, scholars in management and organization of health care organizations and systems met. The opening plenary was a moderated discussion with five distinguished scholars who have exemplified pushing the frontier of organizational theory and practice throughout their careers: Ann Barry Flood of Dartmouth College, John Kimberly of the University of Pennsylvania, Anthony (Tony) Kovner of New York University, Stephen (Steve) Shortell of University of California at Berkeley, and Jacqueline (Jackie) Zinn of Temple University. The discussion was moderated by Ingrid Nembhard of the University of Pennsylvania. The goal of the plenary was to provide an opportunity to hear from senior members of the health care management community how they think about organizational behavior and theory, changes that they have observed, research gaps that they see, and lessons for research and practice that they have learned. This article is the transcript of that plenary discussion. It is shared to capture the intellectual history of the field and help surface the critical advancements still needed in organizational theory and practice in health care. The closing remarks of the panelists summarize recommendations for both practice and scholarship in health care organization management.

Study protocol: implementation of a computer-assisted intervention for autism in schools: a hybrid type II cluster randomized effectiveness-implementation trial.

BACKGROUND: The number of children diagnosed with autism has rapidly outpaced the capacities of many public school systems to serve them, especially under-resourced, urban school districts. The intensive nature of evidence-based autism interventions, which rely heavily on one-to-one delivery, has caused schools to turn to computer-assisted interventions (CAI). There is little evidence regarding the feasibility, effectiveness, and implementation of CAI in public schools. While CAI has the potential to increase instructional time for students with autism, it may also result in unintended consequences such as reduction in the amount of interpersonal (as opposed to computerized) instruction students receive. The purpose of this study is to test the effectiveness of one such CAI-TeachTown-its implementation, and its effects on teachers' use of other evidence-based practices. METHODS: This study protocol describes a type II hybrid cluster randomized effectiveness-implementation trial. We will train and coach 70 teachers in autism support classrooms in one large school district in the use of evidence-based practices for students with autism. Half of the teachers then will be randomly selected to receive training and access to TeachTown: Basics, a CAI for students with autism, for the students in their classrooms. The study examines: (1) the effectiveness of TeachTown for students with autism; (2) the extent to which teachers implement TeachTown the way it was designed (i.e., fidelity); and (3) whether its uptake increases or reduces the use of other evidence-based practices. DISCUSSION: This study will examine the implementation of new technology for children with ASD in public schools and will be the first to measure the effectiveness of CAI. As importantly, the study will investigate whether adding a new technology on top of existing practices increases or decreases their use. This study presents a unique method to studying both the implementation and exnovation of evidence-based practices for children with autism in school settings. TRIAL REGISTRATION: NCT02695693 . Retrospectively registered on July 8, 2016.

Managing customization in health care: a framework derived from the services sector literature.

Organizations that provide health services are increasingly in need of systems and approaches that will enable them to be more responsive to the needs and wishes of their clients. Two recent trends, namely, patient-centered care (PCC) and personalized medicine, are first steps in the customization of care. PCC shifts the focus away from the disease to the patient. Personalized medicine, which relies heavily on genetics, promises significant improvements in the quality of healthcare through the development of tailored and targeted drugs. We need to understand how these two trends can be related to customization in healthcare delivery and, because customization often entails extra costs, to define new business models. This article analyze how customization of the care process can be developed and managed in healthcare. Drawing on relevant literature from various services sectors, we have developed a framework for the implementation of customization by the hospital managers and caregivers involved in care pathways.

Analyzing performance in addiction treatment: an application of data envelopment analysis to the state of Maryland system.

The pressure is on to measure performance and to increase accountability in health care in general and in addiction treatment in particular. The pressure in the world of addiction treatment comes in large measure from the limited resources that are available in relation to the very large numbers of potential patients. Using data on 161 clinics in the state of Maryland, this article illustrates how data envelopment analysis (DEA), a methodology used widely in other settings, can be used to measure the performance of addiction treatment clinics and can help to identify appropriate benchmarks for clinics wishing to improve their performance. The potential utility of DEA is not only limited to the analysis of state networks but extends to analyses of organizations that have a number of treatment locations. However, its full potential at the national and state levels will only be realized when state-level uniform data sets become available.

The adoption of innovations by provider organizations in health care.

Innovations in health care account for some of the most dramatic improvements in population health outcomes in the developed world as well as for a nontrivial proportion of growth in expenditures. Provider organizations are the adopters of many of these innovations, and understanding the factors that inhibit or facilitate their diffusion to and possible disengagement from these organizations is important in addressing cost, quality, and access issues. Given the importance of these issues, the purpose of this article is to (1) create a comprehensive census of studies examining the adoption of and disengagement from innovations in health care provider organizations; (2) organize these studies into an inductively derived classification scheme; (3) assess the studies' strengths and weaknesses; and (4) reflect on the implications of our review for future research.

The business of addiction treatment: A research agenda.

The social and economic costs of addiction are substantial and of great concern to society. Research in the past decade has led to promising therapies that appear to be highly effective but not widely diffused. This leads one to wonder if there is something about the structure, dynamics, or structure and dynamics of the addiction treatment industry that is getting in the way. However, there has been very little research in the areas of organization, finance, or management practices within the substance abuse treatment field-the kinds of issues that reduce the potential impact of addiction treatment industrywide. With this as background, this article introduces the Center for Organization and Management in Addiction Treatment (COMAT) and a special section on research in the "business of addiction treatment." Many other industries have experienced significant problems that are similar, in many respects, to those seen in substance abuse treatment, but research in leadership, innovation, investment, organization, and consolidation strategies has helped to overcome those problems. COMAT is dedicated to implementing and testing evidence-based methods from other industries to improve the outcomes performance and, ultimately, the clinical effectiveness of service providers in the addiction treatment field.

Industry evolution through consolidation: Implications for addiction treatment.

Drawing on experiences in other industries, this article argues that the business of addiction treatment is likely to be transformed by the advent of a period of consolidation, in which a number of small independent programs will be acquired by larger, better capitalized, and managerially more sophisticated enterprises. Consolidation will be driven by opportunities to leverage new technologies, to exploit new regulatory initiatives, and to introduce economies of scale and scope into an industry that is currently highly fragmented. The process is likely to result in segmentation of the market, with the coexistence of large, generalist, highly standardized firms and a number of small highly specialized firms. When an industry consolidates, the types and quality of services provided can improve through the adoption of best practices and through increased competition among larger providers. If these larger providers are publicly traded, however, efforts to improve will inevitably be influenced by pressures to maintain or increase quarter-to-quarter earnings and share prices, leaving open the long-term impact on service quality.