Practical Implementation Science: Developing and Piloting the Quality Implementation Tool

According to the Interactive Systems Framework for Dissemination and Implementation, implementation is a major mechanism and concern in bridging research and practice. The growing number of implementation frameworks need to be synthesized and translated so that the science and practice of quality implementation can be furthered. In this article, we: (1) use the synthesis of frameworks developed by Meyers et al. (Am J Commun Psychol, 2012) and translate the results into a practical implementation science tool to use for improving quality of implementation (i.e., the Quality Implementation Tool; QIT), and (2) present some of the benefits and limitations of the tool by describing how the QIT was implemented in two different pilot projects. We discuss how the QIT can be used to guide collaborative planning, monitoring, and evaluation of how an innovation is implemented.     

Six-Year Sustainability of Evidence-Based Intervention Implementation Quality by Community-University Partnerships: The PROSPER Study

There is a knowledge gap concerning how well community-based teams fare in implementing evidence-based interventions (EBIs) over many years, a gap that is important to fill because sustained high quality EBI implementation is essential to public health impact. The current study addresses this gap by evaluating data from PROSPER, a community-university intervention partnership model, in the context of a randomized-control trial of 28 communities. Specifically, it examines community teams' sustainability of implementation quality on a range of measures, for both family-focused and school-based EBIs. Average adherence ratings approached 90% for family-focused and school-based EBIs, across as many as 6 implementation cohorts. Additional indicators of implementation quality similarly showed consistently positive results. Correlations of the implementation quality outcomes with a number of characteristics of community teams and intervention leaders were calculated to explore their potential relevance to sustained implementation quality. Though several relationships attained statistical significance at particular points in time, none were stable across cohorts. The role of PROSPER's continuous, proactive technical assistance in producing the positive results is discussed.     

Intentional transaction

The second person is often set in contrast to the first person. And there is a contrast. It does not reside in a difference of what is thought as I from what is thought as you. For that is not different. The contrast is that of monadic and dyadic predication, action and transaction. It is the contrast, not of I and You, but of I and I–You. The second person does not add a You to an I. It divides the I and makes it a relation. We consider, first, the form of predication that is common to first- and second-person thought. Then, we define the second person as a species of this form of thought. Last, we find the source and condition of this form of thought in a thought of this very form. This thought, being the source of its own form, is one of which one cannot be conscious from outside it. It is a last word, or, better, a first word.¹1. Compare Thomas Nagel's notion of a last word (Nagel 2001 Nagel, Thomas. 2001. The Last Word. Oxford: Oxford University Press. [Google Scholar]). Nagel's development of the notion reveals no reason why he should call what is last a word. From what he writes in the book, one would think its title to be “The Last Thought”. (Indeed, chapter 2 bears the title “Why We Can't Understand Thought from the Outside”.) However, if the last thought is I–You, then the last thought is a word; indeed, it is the word. In reaching for “The Last Word”, Nagel may express an inchoate appreciation of this.     

Digital Mental Health Services: Moving From Promise to Results

The papers in this special series make a compelling case for the value of digital mental health services (DMHS; including technology-based interventions, assessments, and prevention programs) to help address some of the currently unmet needs in mental health care. At the same time, the papers highlight the work that needs to be accomplished for DMHS to fulfill their promise. We review the papers’ contributions in terms of (a) the imperative to increase access to evidence-informed, high-quality care, especially for underserved populations, both in the United States and globally; (b) ways to use DMHS to improve the ways that clinical care is provided to make treatment provision more effective and efficient; and (c) the current state of the research on DMHS for emotional disorders. We then consider lessons learned and recommendations to move the field forward, such as increasing (and making transparent) the research base on DMHS, adopting regulatory standards for DMHS, attending carefully to training issues for DMHS and best practices for dissemination and implementation, designing specifically for digital platforms, and being intentional about efforts to reduce disparities regarding who benefits from DMHS.     

Predictable Mispredictions in the Context of Physical Activity and Sport: A Review

Theoretical models and research that aim to identify antecedents of participation in physical activities or sport can measure antecedents of physical activity behaviour through instruments that involve subjective predictions. In this article, we argue that such instruments may not reflect physical activity experiences or behaviour accurately because people are not very good predictors of future states. Additionally, we propose that mispredictions may be predictable because they are “caused” by tendencies to neglect processes related to hedonic adaptation and competing alternatives. We also suggest that it may be possible to improve measurement of antecedents through methods that focus respondents' attention on factors that cause mispredictions or through experiential sampling methods.     

基层医院实施《诊疗与防控手足口病指南》的困境

探讨实施卫生部所颁发的手足口病诊疗与防控指南存在的难点.通过实践,依据指南,笔者将近几年工作中所遇到处理各种肠道病毒感染病例存在的问题加以分析,列出实施指南存在诸多临床及非临床的影响因素,包括：（1）上报、隔离引起的矛盾;（2）诊断、治疗、转诊引起的矛盾;（3）处理肠道病毒71型（EV71）感染、疱疹性咽峡炎等与手足口病的矛盾.较多的矛盾令基层医院依照目前的指南难以良好地开展工作,期待更完善的指南以及各地医疗主管部门制定切合实际的、可行的、各种具体的防控预案.     

政策执行偏差严重程度对公众地方政府责任判断的影响机制

为探讨地方政府政策执行偏差严重程度对公众地方政府责任判断的影响机制。采用问卷法对728名社会公众进行调查,结果显示：（1）公众地方政府有意性判断和公众地方政府可控归因中介了政策执行偏差严重程度与公众地方政府责任判断之间的关系。（2）政策执行偏差严重程度还通过公众地方政府有意性判断→公众地方政府可控归因的中介链作用于公众地方政府道德责任判断。并对研究的实践启示进行了讨论。     

Implementation Intentions,Information, and Voter Turnout: An Experimental Study

Are citizens more likely to vote when they are asked to make plans about how they will cast their ballots? Such planning—typically described as “implementation intentions”—has been shown to increase many types of desirable behaviors, including exercising and healthy eating, receiving vaccinations, physical rehabilitation, and recycling. Important earlier work in political science suggests voter turnout can also be influenced by implementation intention interventions, whereby electors are prompted to “make a plan” to vote (Nickerson & Rogers, 2010 ), though this finding has gone largely unreplicated. At the same time, elections management bodies (EMBs) in many contexts regularly conduct informational campaigns in the period leading up to elections, though little is known about the effects of such efforts upon turnout. Using data from an online experiment conducted at the time of the 2015 Canadian Federal Election, we demonstrate that implementation intention interventions can improve voter turnout but that this effect is conditional upon electors being exposed to informational materials about how to vote in the election. When survey respondents were provided with information on voting requirements and methods, and then prompted with questions forcing them to contemplate the act of casting their ballots, we observe a sizable increase in turnout rates.     

Supervision in Community Mental Health: Understanding Intensity of EBT Focus

The goal of the present study was to examine clinician, supervisor, and organizational factors that are associated with the intensity of evidence-based treatment (EBT) focus in workplace-based clinical supervision of a specific EBT, Trauma-Focused Cognitive Behavioral Therapy (TF-CBT). Supervisors (n = 56) and clinicians (n = 207) from mental health organizations across Washington State completed online self-report questionnaires. Multilevel modeling (MLM) analyses were used to examine the relative influence of nested clinician and supervisor factors on the intensity of EBT focus in supervision. We found that 33% of the variance in clinician report of EBT supervision intensity clustered at the supervisor level and implementation climate was the only significant factor associated with EBT supervision intensity. While individual clinician and supervisor factors may play a role in EBT coverage in supervision, our results suggest that an implementation climate that supports EBT may be the most critical factor for improving intensity of EBT coverage. Thus, implementation efforts that address the extent to which EBTs are expected, rewarded, and supported within an organization may be needed to support greater coverage of EBT during workplace-based supervision.     

Automated verbal credibility assessment of intentions: The model statement technique and predictive modeling

Recently, verbal credibility assessment has been extended to the detection of deceptive intentions, the use of a model statement, and predictive modeling. The current investigation combines these 3 elements to detect deceptive intentions on a large scale. Participants read a model statement and wrote a truthful or deceptive statement about their planned weekend activities (Experiment 1). With the use of linguistic features for machine learning, more than 80% of the participants were classified correctly. Exploratory analyses suggested that liars included more person and location references than truth‐tellers. Experiment 2 examined whether these findings replicated on independent‐sample data. The classification accuracies remained well above chance level but dropped to 63%. Experiment 2 corroborated the finding that liars' statements are richer in location and person references than truth‐tellers' statements. Together, these findings suggest that liars may over‐prepare their statements. Predictive modeling shows promise as an automated veracity assessment approach but needs validation on independent data.