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In healthcare and related fields, there is often a gap between research and practice. Scholars have developed frameworks to support dissemination and implementation of best practices, such as the Interactive Systems Framework for Dissemination and Implementation, which shows how scientific innovations are conveyed to practitioners through tools, training, and technical assistance (TA). Underpinning those aspects of the model are evaluation and continuous quality improvement (CQI). However, a recent meta-analysis suggests that the approaches to and outcomes from CQI in healthcare vary considerably, and that more evaluative work is needed. Therefore, this paper describes an assessment of CQI processes within the Substance Abuse and Mental Health Services Administration's (SAMHSA) Technology Transfer Center (TTC) Network, a large TA/TTC system in the United States comprised of 39 distinct centers. We conducted key informant interviews (n = 71 representing 28 centers in the Network) and three surveys (100% center response rates) focused on CQI, time/effort allocation, and Government Performance and Results Act (GPRA) measures. We used data from each of these study components to provide a robust picture of CQI within a TA/TTC system, identifying Network-specific concepts, concerns about conflation of the GPRA data with CQI, and principles that might be studied more generally. [ABSTRACT FROM AUTHOR]

This study provides an overview of research findings on long-term effects on healthcare workers mental health and factors associated with positive or negative changes. Medline and PubMed databases were searched for observational longitudinal studies and 18 papers were included in the review (PROSPERO: CRD42021260307). 12 articles indicated negative changes over time and six studies revealed a positive trend in a variety of mental health outcomes (anxiety, depression, insomnia, and others). Female sex, younger age, nursing occupation, frontline work, longer working hours and concerns about contracting COVID-19 were identified to be associated with negative changes. Conversely, a supportive environment, access to psychological resources, provision of sufficient personal protective equipment and availability of COVID-19 tests were linked to positive changes. Therefore, our findings can assist governmental and institutional authorities with effective interventions to improve psychological care for healthcare workers. [ABSTRACT FROM AUTHOR]

Despite the millions of dollars awarded annually by the United States Department of Education to build implementation capacity through technical assistance (TA), data on TA effectiveness are severely lacking. Foundational to the operationalization and consistent research on TA effectiveness is the development and use of standardized TA core competencies, practices, and structures. Despite advances toward a consistent definition of TA, a gap still exists in understanding how these competencies are used within an operationalized set of TA practices to produce targeted outcomes at both individual and organizational levels to facilitate implementation of evidence-based practices. The current article describes key insights derived from the evaluation of an operationalized set of TA practices used by a nationally funded TA center, the State Implementation & Scaling Up of Evidence Based Practices (SISEP) Center. The TA provided by the Center supports the uptake of evidence-based practices in K-12 education for students with disabilities. Lessons learned include: (1) the need to understand the complexities and dependencies of operationalizing TA both longitudinally and at multiple levels of the system (state, regional, local); (2) the relative importance of building general and innovation-specific capacity for implementation success; (3) the value of using a co-design and participatory approach for effective TA delivery; (4) the need to develop TA providers' educational and implementation fluency across areas and levels of the system receiving TA; and (5) the need to ensure coordination and alignment of TA providers from different centers. Gaining an understanding into optimal TA practices will not only provide clarity of definition fundamental to TA research, but it will also inform the conceptual framing and practice of TA. [ABSTRACT FROM AUTHOR]

The research-practice gap between evidence-based intervention efficacy and its uptake in real-world contexts remains a central challenge for prevention and implementation science. Providing technical assistance (TA) is considered a crucial support mechanism that can help narrow the gap. However, empirical measurement of TA strategies and their variation is often lacking. The current study unpacks the black box of TA, highlighting different TA strategies, amounts, and their relation to intervention characteristics. First, we qualitatively categorized interactions between TA providers and implementers. Second, we explored how characteristics of implementing organizations and the intervention related to variations in the amount of TA delivered. Using data spanning six years, we analyzed over 10,000 encounters between TA providers and implementers. Content analysis yielded four distinct strategies: Consultation (27.2%), Coordination Logistics (24.5%), Monitoring (16.5%), and Resource Delivery (28.2%). Organizations with prior experience required less monitoring and resource delivery. Additionally, characteristics of the intervention were significantly associated with the amount of consultation, monitoring, coordination logistics, and resource delivery provided. The specific features of the intervention showed significant variation in their relation to TA strategies. These findings provide initial insights into the implications of intervention characteristics in determining how much of which TA strategies are needed to support implementations in real-world settings. [ABSTRACT FROM AUTHOR]

Recent implementation science frameworks highlight the role of training and technical assistance (TTA) in building workforce capacity to implement evidence-based practices (EBPs). However, evaluation of TTA is limited. We describe three case examples that highlight TTA by three regional centers in the national Mental Health Technology Transfer Center (MHTTC) network. Each MHTTC formed Learning Communities (LCs) to facilitate connections among behavioral health professionals with the goals of sharing implementation strategies, discussing best-practices, and developing problem solving techniques. Data on outcomes were collected through a combination of self-report surveys and qualitative interviews. LC participants reported strong connectedness, gains in knowledge and skills, improvements in implementation capacity, and intentions to advocate for organizational and systems-level change. Furthermore, across the case examples, we identified LC characteristics that are associated with participant perceptions of outcomes, including tailoring LC content to workforce needs, providing culturally relevant information, engaging leaders, forming connections among participants and trainers, and challenging participants' current workplace practices. These findings are interpreted through the lens of the Interactive Systems Framework, which focuses on how TTA, such as LCs, can facilitate connections between the theoretical and empirical foundations of interventions and the practices of implementing interventions in real-world settings to advance workforce capacity. [ABSTRACT FROM AUTHOR]

It is important to use evidence-based programs and practices (EBPs) to address major public health issues. However, those who use EBPs in real-world settings often require support in bridging the research-to-practice gap. In the US, one of the largest systems that provides such support is the Substance Abuse and Mental Health Services Administration's (SAMHSA's) Technology Transfer Center (TTC) Network. As part of a large external evaluation of the Network, this study examined how TTCs determine which EBPs to promote and how to promote them. Using semi-structured interviews and pre-testing, we developed a "Determinants of Technology Transfer" survey that was completed by 100% of TTCs in the Network. Because the study period overlapped with the onset of the COVID-19 pandemic, we also conducted a retrospective pre/post-pandemic comparison of determinants. TTCs reported relying on a broad group of factors when selecting EBPs to disseminate and the methods to do so. Stakeholder and target audience input and needs were consistently the most important determinant (both before and during COVID-19), while some other determinants fluctuated around the pandemic (e.g., public health mandates, instructions in the funding opportunity announcements). We discuss implications of the findings for technology transfer and frame the analyses in terms of the Interactive Systems Framework for Dissemination and Implementation. [ABSTRACT FROM AUTHOR]

The current study aimed at investigating the two sources of construct-relevant psychometric multidimensionality of the Nomophobia Questionnaire (NMP-Q), applying the newly developed bifactor exploratory structural equation modeling (B-ESEM) approach. We first contrasted several CFA and ESEM models to test the psychometric multidimensionality due to the fallibility of indicators. Then, we compared the first-order structures with those specifying both global and specific factors to test the coexistence of hierarchically ordered factors. Results from 469 participants to the 20-item questionnaire showed the superiority of a B-ESEM representation with a well-defined G-factor and four weaker S-factors. On a methodological level, our findings provide additional support for the utility of using B-ESEM's integrative perspective to better capture the complexity of multidimensional constructs. [ABSTRACT FROM AUTHOR]

Many items in current problem gambling screens focus on negative consequences of gambling and gambling-related harms. However, few problem gambling screens comprise items that are totally based on actual gambling behavior such as gambling duration, gambling frequency, or gambling late at night. The aim of the present study was to develop and validate the 12-item Online Problem Gambling Behavior Index (OPGBI). A total of 10,000 online Croatian gamblers were administered the OPGBI alongside the nine-item Problem Gambling Severity Index (PGSI), as well as questions regarding types of gambling engaged in and socio-demographic factors. The 12 OPGBI items mainly concern actual gambling behavior. The correlation between OPGBI and PGSI was highly significant (r = 0.68). Three latent factors in the OPGBI were identified (gambling behavior, limit setting, communication with operator). The three factors all significantly correlated with the PGSI score (R 2- = 51.8%). The fact that pure gambling behavior related items explained over 50% of the PGSI score strengthens the idea that player tracking could be an important approach in identifying problem gambling. [ABSTRACT FROM AUTHOR]