Implementation research and practice最新文献

Background: Reporting on strategies to advance implementation outcomes is imperative. The current study reports descriptive information about external implementation support (EIS) provided over 5 years to 13 regions in North Carolina and South Carolina scaling an evidence-based system of parenting and family supports. Regional support teams operating through the Implementation Capacity for Triple P (ICTP) projects employed core practice components (CPCs) for EIS as proposed by Aldridge et al. and further operationalized by members of The Impact Center at FPG Child Development Institute, UNC-Chapel Hill.

Method: Practice activities associated with CPCs were developed and iteratively refined across the study period. ICTP regional support teams systematically tracked their use of CPCs and related activities following each substantive support interaction. Tracking included the duration of time a CPC was employed and the use of specific practice activities associated with that CPC. Data were aggregated by month of the relationship to account for differential start dates across regions.

Results: From November 2016 through December 2021, ICTP support teams tracked 749 support interactions with Triple P regions in North Carolina and South Carolina. Monthly support decreased year over year, though dose varied considerably. Patterns of CPC use indicated a high dose of "foundational" and "co-design" CPCs early, followed by a blended and more diverse use thereafter, with some notable trends. Practice activities considered essential to influencing intended practice outcomes were characterized by higher rates of use. Like CPCs, practice activities were used dynamically across the study period.

Conclusions: This descriptive study offers a case study for how EIS might be operationalized, tracked, and employed. Findings suggest several interpretations that might refine our understanding and use of EIS. Although the nature of this practical report precludes generalizability of findings, directions for future research and practice are discussed.

Background: External implementation support (EIS) is a well-recognized feature of implementation science and practice, often under related terms such as technical assistance and implementation facilitation. Existing models of EIS have gaps related to addressing practice outcomes at both individual and organizational levels, connecting practice activities to intended outcomes, or grounding in well-established theories of behavior and organization change. Moreover, there have been calls to clarify the mechanisms of change through which EIS influences related outcomes.

Method: In this article, we theorize about mechanisms of change within EIS. Our theorizing process aligns with the approach advocated by Kislov et al. We aim to consolidate prior EIS literature, combining related constructs from previous empirical and conceptual work while drawing on our extensive EIS experience to develop a higher-order, midrange theory of change.

Results: Our theory of change is empirically and practically informed, conceptually situated within an established grand theory of change, and guided by eight practice principles and social cognitive theory. The theory of change proposes 10 core practice components as mechanisms of change within EIS. When used according to underlying theory and principles, they are believed to contribute to favorable practice outcomes at individual, team, organizational, and system levels. The model offers flexibility by recognizing the need for sequential support processes and the demand to practice in dynamic and responsive ways. Case examples are presented to illustrate major themes and patterns of the model in action.

Conclusions: The proposed model is intended to support prospective EIS studies by conceptualizing discernable practice components with hypothesized relationships to proximal and distal practice outcomes. The model can be behaviorally operationalized to compliment and extend competency-based approaches to implementation support practitioner (ISP) training and coaching. Over time, the model should be refined based on new empirical findings and contributions from ISPs across the field.

Background: Interdisciplinary collaboration and stakeholder engagement are key ingredients in implementation science research. However, effective and efficient collaboration can be limited by the complexity of implementation science terms. In this article, we argue that the development and use of plain language implementation science terms is an essential step to facilitate collaboration and engagement.

Method: We present an example of plain language development to portray the process and the potential benefits plain language can have on implementation science research. Implementation scientists and intervention experts codeveloped plain language implementation terms as a part of an implementation-effectiveness trial in western Kenya and in preparation for a stakeholder collaborative design meeting.

Results: The developed plain language terms facilitated wider stakeholder understanding and integration of implementation science findings that could inform the design of a stakeholder-led implementation coaching program.

Conclusions: We encourage the use of the plain language terms presented in this article, further translation, and additional development of other plain language terms for implementation science constructs.

Background: There is a priority need to make community-based care widely available for people living with schizophrenia (PLwS) in low- and middle-income countries. An innovative approach for increasing access could be to integrate clinical services available in tertiary care hospitals with community-based care through a task-sharing approach. We describe such an integrated intervention that was implemented at Tezpur in northeast India in collaboration with the Lokopriya Gopinath Bordoloi Regional Institute of Mental Health (LGBRIMH).

Method: The objectives of the study were to illustrate the feasibility of integrating and implementing the intervention and to describe its individual, systemic, and public health impacts. Due to the limited resources available, we conducted a pragmatic single-arm longitudinal evaluation of the intervention cohort over 24 months.

Results: Of the 239 PLwS enrolled in the intervention, 198 (83%) were followed up for 24 months, with nearly three-quarters reporting a >70% reduction in disabilities, most notably between 6 and 18 months. There was a marked reduction in unmet needs across multiple domains, and at 24 months, 62% of the cohort was engaged in individual jobs or other market-linked livelihood opportunities. There was greater uptake and retention with outpatient contacts at the LGBRIMH, and PLwS experienced a marked (82%) reduction in inpatient admissions rates, as compared to before enrolment. Over a period of 24 months, primary caregivers reported that their families experienced significantly fewer social difficulties such as unemployment, interpersonal conflicts, and social isolation. The intervention had a significant public health impact, with an estimated 51.8% effective treatment coverage rate for the integrated intervention.

Conclusion: Our findings provide preliminary evidence of the feasibility of implementing the integrated intervention and its effectiveness. We believe that there is merit in further in-depth refinement and exploration of this implementation-related research and cost analysis while replicating the intervention in other tertiary care institutions.

Background: Barriers and facilitators, collectively called determinants, of evidence-based practice implementation are key to identifying the best strategies for promoting implementation. Assessing determinants before implementation can help tailor strategies to those that would be most effective. Current measures of determinants are not comparable across implementation settings and implementation scientists and practitioners often have to create their own measures. This study was the first step in creating determinants item banks that are usable across settings and focused on intervention characteristics. We aimed to establish the content validity of the item bank.

Method: This study used a concurrent mixed methods approach. Items for assessing intervention characteristic determinants were first identified through systematic reviews. Implementation scientists then completed a survey where they provided both quantitative and qualitative feedback on the items. Finally, three experts with both clinical and implementation experience provided feedback on redundancy and representativeness.

Results: The systematic reviews identified over 1,959 items so subsequent steps were limited to focus on intervention characteristic determinants (271 items) such as adaptability of the practice. Based on feedback from thirty implementation scientists, the items were reduced to 92 but an additional 53 were added, most due to qualitative feedback. Items were also rewritten based on qualitative results. Three experts reviewed the remaining 145 items. Based on their feedback, the number of items was reduced to 109.

Conclusions: Creating a determinants item bank was feasible and the final items had content validity. The next steps include testing reliability and validity in a larger sample of clinicians implementing evidence-based practices.

Background: Communication research demonstrates that messages often have unintended consequences, but this work has received limited attention in implementation science. This dissemination experiment sought to determine whether state-tailored policy briefs about the behavioral health consequences of adverse childhood experiences (ACEs), compared to national policy briefs on the topic, increased state legislators'/staffers' perceptions of the policy brief relevance and parental blame for the consequences of ACEs, and whether effects differed between Democrats and Republicans.

Method: A preregistered, web-based survey experiment with U.S. state legislators/staffers was conducted in 2021 (n  =  133). Respondents were randomized to view a policy brief about the behavioral health consequences of ACEs that included state-tailored data (intervention condition) or national data (control condition) and then answered survey questions. Dependent variables were perceived policy brief relevance and parental blame for the consequences of ACEs.

Results: The mean policy brief relevance score was 4.1% higher in the intervention than in the control condition (p  =  .24), but the mean parental blame score was 16.5% higher (p  =  .02). When outcomes were dichotomized, 61.2% of respondents in the intervention condition rated parents as "very much to blame" for the consequences of ACEs compared to 37.1% in the control condition (p  =  .01). When the sample was stratified by political affiliation, the effect of the state-tailored policy brief on parental blame was larger in magnitude among Democrats and not significant among Republicans. The intervention policy brief increased the mean parental blame score by 22.8% among Democrats relative to the control policy brief (p  =  .007) and doubled the proportion rating parents as "very much to blame" (52.2% vs. 26.1%, p  =  .03).

Conclusions: Despite limited statistical power, state-tailored policy briefs significantly increased state legislators'/staffers' perceptions of parental blame for the behavioral health consequences of ACEs, relative to a policy brief with national data. Unintended messaging effects warrant greater attention in dissemination research and practice.

Background: The collaborative care management (CoCM) model is an evidence-based intervention for integrating behavioral health care into nonpsychiatric settings. CoCM has been extensively studied in primary care clinics, but implementation in nonconventional clinics, such as those tailored to provide care for high-need, complex patients, has not been well described.

Method: We adapted CoCM for a low-barrier HIV clinic that provides walk-in medical care for a patient population with high levels of mental illness, substance use, and housing instability. The Exploration, Preparation, Implementation, and Sustainment model guided implementation activities and support through the phases of implementing CoCM. The Framework for Reporting Adaptations and Modifications to Evidence-Based Interventions guided our documentation of adaptations to process-of-care elements and structural elements of CoCM. We used a multicomponent strategy to implement the adapted CoCM model. In this article, we describe our experience through the first 6 months of implementation.

Results: The key contextual factors necessitating adaptation of the CoCM model were the clinic team structure, lack of scheduled appointments, high complexity of the patient population, and time constraints with competing priorities for patient care, all of which required substantial flexibility in the model. The process-of-care elements were adapted to improve the fit of the intervention with the context, but the core structural elements of CoCM were maintained.

Conclusions: The CoCM model can be adapted for a setting that requires more flexibility than the usual primary care clinic while maintaining the core elements of the intervention.

Background: Understanding the barriers and facilitators of implementation completion is critical to determining why some implementation efforts fail and some succeed. Such studies provide the foundation for developing further strategies to support implementation completion when scaling up evidence-based practices (EBPs) such as Motivational Interviewing.

Method: This mixed-methods study utilized the Exploration, Preparation, Implementation, and Sustainment framework in an iterative analytic design to compare adolescent HIV clinics that demonstrated either high or low implementation completion in the context of a hybrid Type III trial of tailored motivational interviewing. Ten clinics were assigned to one of three completion categories (high, medium, and low) based on percentage of staff who adhered to three components of implementation strategies. Comparative analysis of staff qualitative interviews compared and contrasted the three high-completion clinics with the three low-completion clinics.

Results: Results suggested several factors that distinguished high-completion clinics compared to low-completion clinics including optimism, problem-solving barriers, leadership, and staff stress and turnover.

Conclusions: Implementation strategies targeting these factors can be added to EBP implementation packages to improve implementation success.

Plain language summary: While studies have begun to address adherence to intervention techniques, this is one of the first studies to address organizational adherence to implementation strategies. Youth HIV providers from different disciplines completed interviews about critical factors in both the inner and outer context that can support or hinder an organization's adherence to implementation strategies. Compared to less adherent clinics, more adherent clinics reported more optimism, problem-solving, and leadership strengths and less staff stress and turnover. Implementation strategies addressing these factors could be added to implementation packages to improve implementation success.

Background: Emerging research has demonstrated that organizational efforts at becoming secondary traumatic stress (STS)-informed can improve the overall well-being of the workforce, especially when implementation activity by a champion team is high. Questions remain, however, regarding the mechanisms that enable these improvements.

Method: This study uses configurational analysis to determine necessary and sufficient conditions to produce reductions in STS symptoms in workers as well as organizational improvements toward being more STS-informed in a cohort survey of 6,033 professionals working with individuals exposed to trauma representing 52 organizations. The Secondary Traumatic Stress Informed Organizational Assessment (STSI-OA) was used to measure professional's perceptions of how well the unit addressed secondary trauma in the workplace, and the Secondary Traumatic Stress Scale (STSS) assessed traumatic stress symptoms in respondents. Champions' activity was scored using the categories suggested by Shea.

Results: For the STSS outcome, either a STSI-OA positive increase of 10 or more points or high levels of champion problem-solving were independently sufficient for an improvement in the outcome. The STSI-OA model had two pathways: high levels of peer engagement via the scaling up of innovations using PDSAs or the combination of facilitation of peer knowledge and skills together with working in a child welfare organization. Either pathway was sufficient by itself to yield the STSI-OA outcome.

Conclusions: Identifying and cultivating the champions' use of problem-solving and peer engagement strategies can transform the threat posed by indirect trauma exposure into an opportunity for shared experience and healing.

Plain language summary: Organizational champions are individuals or teams that strive to promote change within their workplace. These champions are integral to spreading innovative ideas and strategies and creating organization-wide changes ( Powell et al., 2015). However, little is known about the processes or specific strategies that make champions successful. One area in which champions are needed is in improving organizations' response to and understanding of secondary traumatic stress (STS), among those in helping professions that are indirectly exposed to trauma through the traumatic stories of those they work with. In fact, research has shown that organizational efforts to address STS improve the well-being of individual professionals within that organization ( Sprang et al., 2021). The present study sought to better understand what champion-related processes or conditions led to organizational change in addressing the effects of indirect exposure and improving symptoms related to STS. Results showed that organizational change in addressing STS and champions' problem-solving strategies resulted in reductions in indiv