Keep It Up! 3.0: Study protocol for a type III hybrid implementation-effectiveness cluster-randomized trial.

BACKGROUND: Despite evidence that eHealth approaches can be effective in reducing HIV risk, their implementation requirements for public health scale up are not well established, and effective strategies to bring these programs into practice are still unknown. Keep It Up! (KIU!) is an online program proven to reduce HIV risk among young men who have sex with men (YMSM) and ideal candidate to develop and evaluate novel strategies for implementing eHealth HIV prevention programs. KIU! 3.0 is a Type III Hybrid Effectiveness-Implementation cluster randomized trial designed to 1) compare two strategies for implementing KIU!: community-based organizations (CBO) versus centralized direct-to-consumer (DTC) recruitment; 2) examine the effect of strategies and determinants on variability in implementation success; and 3) develop materials for sustainment of KIU! after the trial concludes. In this article, we describe the approaches used to achieve these aims. METHODS: Using county-level population estimates of YMSM, 66 counties were selected and randomized 2:1 to the CBO and DTC approaches. The RE-AIM model was used to drive outcome measurements, which were collected from CBO staff, YMSM, and technology providers. Mixed-methods research mapped onto the domains of the Consolidated Framework for Implementation Research will examine determinants and their relationship with implementation outcomes. DISCUSSION: In comparing our implementation recruitment models, we are examining two strategies which have shown effectiveness in delivering health technology interventions in the past, yet little is known about their comparative advantages and disadvantages in implementation. The results of the trial will further the understanding of eHealth prevention intervention implementation.

An Approach to Evaluating Multisector Partnerships to Support Evidence-Based Quality Improvement in Primary Care.

BACKGROUND: Quality improvement (QI) interventions in primary care are increasingly designed and implemented by multisector partnerships, yet little guidance exists on how to best monitor or evaluate these partnerships. The goal of this project was to describe an approach for evaluating the development and effectiveness of a multisector partnership using data from the first year of the Healthy Hearts for Michigan (HH4M) Cooperative, a multisector partnership of nine organizations tasked with designing and implementing evidence-based QI strategies for hypertension management and tobacco cessation in 50 rural primary care practices. METHODS: The researchers developed a 49-item online survey focused on factors that facilitate or hinder multisector partnerships, drawing on implementation science and partnership, engagement, and collaboration research. The team surveyed all 44 members of the HH4M Cooperative (79.5% response rate) and conducted interviews with 14 members. The interviews focused on implementation phase-specific goals, accomplishments, and challenges. Descriptive analysis was used for the survey results, and thematic analysis for the interview data. RESULTS: Respondents reported strong overall performance by the Cooperative during its first year, which facilitated the successful completion of several intervention design tasks. Strengths included having a clear purpose and trust and respect among members. Areas for improvement included a need for common terminology, clarification of roles and functions, and improvement in communication across workgroups. Lack of engagement from physician practices due to capacity constraints, exacerbated by the COVID-19 pandemic, was the Cooperative's biggest challenge. CONCLUSION: This multimethod approach to evaluating the development and effectiveness of a multisector partnership yielded practical, actionable feedback to program leaders.

Modeling SARS-CoV-2: Comparative Pathology in Rhesus Macaque and Golden Syrian Hamster Models.

Coronavirus disease 2019 (COVID-19) in humans has a wide range of presentations, ranging from asymptomatic or mild symptoms to severe illness. Suitable animal models mimicking varying degrees of clinical disease manifestations could expedite development of therapeutics and vaccines for COVID-19. Here we demonstrate that severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection resulted in subclinical disease in rhesus macaques with mild pneumonia and clinical disease in Syrian hamsters with severe pneumonia. SARS-CoV-2 infection was confirmed by formalin-fixed, paraffin-embedded (FFPE) polymerase chain reaction (PCR), immunohistochemistry, or in situ hybridization. Replicating virus in the lungs was identified using in situ hybridization or virus plaque forming assays. Viral encephalitis, reported in some COVID-19 patients, was identified in one macaque and was confirmed with immunohistochemistry. There was no evidence of encephalitis in hamsters. Severity and distribution of lung inflammation were substantially more in hamsters compared with macaques and exhibited vascular changes and virus-induced cytopathic changes as seen in COVID-19 patients. Neither the hamster nor macaque models demonstrated evidence for multisystemic inflammatory syndrome (MIS). Data presented here demonstrate that macaques may be appropriate for mechanistic studies of mild asymptomatic COVID-19 pneumonia and COVID-19-associated encephalitis, whereas Syrian hamsters may be more suited to study severe COVID-19 pneumonia.

Parenting Interventions in Pediatric Primary Care: A Systematic Review.

CONTEXT: More than 4 decades of research indicate that parenting interventions are effective at preventing and treating mental, emotional, and behavioral disorders in children and adolescents. Pediatric primary care is a viable setting for delivery of these interventions. OBJECTIVE: Previous meta-analyses have shown that behavioral interventions in primary care can improve clinical outcomes, but few reviews have been focused specifically on the implementation of parenting interventions in primary care. We aimed to fill this gap. DATA SOURCES: We reviewed 6532 unique peer-reviewed articles published in PubMed, the Cumulative Index to Nursing and Allied Health Literature, and PsycInfo. STUDY SELECTION: Articles were included if at least part of the intervention was delivered in or through primary care; parenting was targeted; and child-specific mental, emotional, and behavioral health outcomes were reported. DATA EXTRACTION: Articles were reviewed in Covidence by 2 trained coders, with a third coder arbitrating discrepancies. RESULTS: In our review of 40 studies, most studies were coded as a primary. Few researchers collected implementation outcomes, particularly those at the service delivery system level. LIMITATIONS: Including only published articles could have resulted in underrepresentation of implementation-related data. CONCLUSIONS: Parenting interventions delivered and implemented with fidelity in pediatric primary care could result in positive and equitable impacts on mental, emotional, and behavioral health outcomes for both parents and their children. Future research on the implementation strategies that can support adoption and sustained delivery of parenting interventions in primary care is needed if the field is to achieve population-level impact.

Virtual Delivery of Therapeutic Assessment: An Empirical Case Study.

The Therapeutic Assessment (TA) model of psychological assessment has grown in use due to the demonstrated benefits to clients. However, to date, there have been no published articles on how conducting TA virtually may impact the process and experience. The COVID-19 global pandemic led to a rapid increase in virtual delivery of psychological services, including assessments. Assessors adapted procedures to ensure that clients were served ethically, the assessor-client relationship was considered, and the results were deemed valid. This empirical case study was conducted to evaluate test validity, therapeutic alliance, and the clinician's and client's experience of a TA conducted virtually. The validity of test administration was evaluated by experts, who reviewed video of the administration and test results; no concerns regarding integrity and interpretability of the results were identified. Therapeutic alliance, session process, and virtual presence were measured after each session. Both clinician and client reported positive experiences. The overall impact of the TA was evaluated through quantitative assessment of the client's experience and qualitative analysis of interviews. Collectively, this research demonstrates the feasibility of conducting a TA virtually, in an efficacious manner, that leads to positive client outcomes.

Network interventions for managing the COVID-19 pandemic and sustaining economy.

Sustaining economic activities while curbing the number of new coronavirus disease 2019 (COVID-19) cases until effective vaccines or treatments become available is a major public health and policy challenge. In this paper, we use agent-based simulations of a network-based susceptible-exposed-infectious-recovered (SEIR) model to investigate two network intervention strategies for mitigating the spread of transmission while maintaining economic activities. In the simulations, we assume that people engage in group activities in multiple sectors (e.g., going to work, going to a local grocery store), where they interact with others in the same group and potentially become infected. In the first strategy, each group is divided into two subgroups (e.g., a group of customers can only go to the grocery store in the morning, while another separate group of customers can only go in the afternoon). In the second strategy, we balance the number of group members across different groups within the same sector (e.g., every grocery store has the same number of customers). The simulation results show that the dividing groups strategy substantially reduces transmission, and the joint implementation of the two strategies could effectively bring the spread of transmission under control (i.e., effective reproduction number ≈ 1.0).