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Background: Parent-mediated early interventions (EI) for children with autism spectrum disorder (ASD) can result in significant improvements in children's cognitive ability, social functioning, behavior, and adaptive skills, as well as improvements in parental self-efficacy and treatment engagement. The common component to efficacious parent- mediated early interventions for ASD is clinician use of parent coaching and occurs when a clinician actively teaches the parent techniques to improve their child's functioning. Available evidence suggests that community- based EI clinicians rarely coach parents when working with families of these children, although specific barriers to coaching are unknown. This consistent finding points to the need to develop strategies to improve the use of parent coaching in community EI programs. The purpose of this community-partnered study is to iteratively develop and pilot test a toolkit of implementation strategies designed to increase EI clinicians' use of parent coaching. Methods: This study has four related phases. Phase 1: examine how EI clinicians trained in Project ImPACT, an evidence-based parent-mediated intervention, coach parents of children with ASD. Phase 2: identify barriers and facilitators to clinician implementation of parent coaching by administering validated questionnaires to, and conducting semi-structured interviews with, clinicians, parents, and agency leaders. Phase 3: partner with a community advisory board to iteratively develop a toolkit of implementation strategies that addresses identified barriers and capitalizes on facilitators to improve clinician implementation of evidence-based parent coaching. Phase 4: pilot test the feasibility and effectiveness of the implementation strategy toolkit in improving EI clinicians ' use of parent coaching with nine EI clinicians and parent-child dyads using a multiple-baseline-across-participants single-case design. Discussion: Completion of these activities will lead to an in-depth understanding of EI clinicians' implementation of parent coaching in usual practice following training in an evidence-based parent-mediated intervention, barriers to their implementation of parent coaching, a toolkit of implementation strategies developed through an iterative community-partnered process, and preliminary evidence regarding the potential for this toolkit to improve EI clinicians' implementation of parent coaching. These pilot data will offer important direction for a larger evaluation of strategies to improve the use of parent coaching for young children with ASD.

Objective: Timing and accumulation of work-related exposures may influence later life health. This study evaluates the association between women's work patterns and physical functioning. Method: Work history and physical functioning information was collected at baseline for U.S. women ages 50 to 79 years in the Women's Health Initiative Observational Study (N = 75,507). We estimated life course workforce participation patterns using latent class analysis. Associations between work patterns and physical limitations were explored using modified Poisson regression. Results: Compared with working continuously, women who left the workforce early had 8% increased risk and women who worked intermittently had 5% reduced risk of physical limitations later in life. The negative association with intermittent workforce participation was stronger for women with substantively complex work (9% reduced risk) than for women with nonsubstantively complex work (2% reduced risk). Discussion: Life course work patterns and characteristics may contribute to physical functioning later in life among women.

Lay abstractMost autistic adults struggle with mental health problems, such as anxiety and depression. However, they often have trouble finding effective mental health treatment in their community. The goal of this study was to identify ways to improve community mental health services for autistic adults. We interviewed 22 autistic adults with mental healthcare experience, 44 community mental health clinicians (outpatient therapists, case managers, and intake coordinators), and 11 community mental health agency leaders in the United States. Our participants identified a variety of barriers to providing quality mental healthcare to autistic adults. Across all three groups, most of the reported barriers involved clinicians' limited knowledge, lack of experience, poor competence, and low confidence working with autistic adults. All three groups also discussed the disconnect between the community mental health and developmental disabilities systems and the need to improve communication between these two systems. Further efforts are needed to train clinicians and provide follow-up consultation to work more effectively with autistic adults. A common suggestion from all three groups was to include autistic adults in creating and delivering the clinician training. The autistic participants provided concrete recommendations for clinicians, such as consider sensory issues, slow the pace, incorporate special interests, use direct language, and set clear expectations. Our findings also highlight a need for community education about co-occurring psychiatric conditions with autism and available treatments, in order to increase awareness about treatment options.

This study examines how the introduction of TeachTown:Basics, a computer-assisted intervention for students with autism spectrum disorder, influenced teachers' use of other evidence-based practices. In a randomized controlled trial that enrolled 73 teachers nested within 58 schools, we used three-level hierarchical linear models to evaluate changes in teachers' use of evidence-based practices across the school year for those who received TeachTown:Basics versus those assigned to control. Both groups received training and implementation support to deliver three well-established evidence-based practices for autism spectrum disorder. Qualitative interviews were conducted with 25 teachers who used TeachTown:Basics to better understand their experience. Compared with teachers in the control group, teachers in the TeachTown:Basics group reported significantly less growth over the 9-month period in their use of evidence-based practices that require one-to-one instruction (ps < 0.05), but no difference in their reported use of evidence-based practices that do not involve one-to-one instruction (p = 0.637). Qualitative interviews indicated that teachers viewed TeachTown:Basics as an effective substitute for one-to-one instruction because it was less burdensome, despite the lack of support for TeachTown:Basics' effectiveness. Before introducing new practices, education leaders should carefully consider both evidence of effectiveness and the potential impact on the use of other evidence-based practices.

In Philadelphia, over 40% of youth are overweight or obese. The objective in this assessment was to learn about urban residents' perspectives regarding the local food environment and its impact on eating behaviors. Using photo-elicitation, 20 adolescents reflected on their food environments through photographs and corresponding interviews. Without specific prompting from interviewers, every participant raised concerns about their school food environments, which they commonly found to be unhealthy and unappealing. Participants' responses reflected four themes: (1) mixed reviews regarding the healthfulness of school vending machines, (2) lunch from home versus lunch from school, (3) factors that influenced food choice at school, and (4) critiques of school food environments. Students embraced the photo-elicitation approach as a way to convey their concerns and to suggest opportunities for improvements. School nurses, who are trusted by students and school personnel, are well-positioned to solicit student input and advocate for healthier school food environments.

Background: Approximately 8% of schoolchildren in the United States experience potentially life-threatening food allergies. They must diligently avoid allergenic foods and have prompt access to epinephrine to treat anaphylaxis. These prevention strategies must be sustained without interruption, posing a range of challenges at school. Methods: We conducted semi-structured interviews with 178 participants about their experiences managing food allergies outside the home. Interviews were transcribed and analyzed using an iterative approach in NVivo 10. Results: Participants reported highly varied school experiences across the ecological model. They described the need to be proactive and self-sufficient to manage food allergies. Whereas food allergy-related social exclusion was common, participants also described positive peer interactions, including intensive peer engagement and support. They perceived that formal school policies were limited in scope and inconsistently implemented. Prevention-oriented policies were more common in lower grades than in higher grades. Conclusions: Poorly defined and implemented policies disrupted students' social and educational experiences at school, families' relationships with school staff, and, ultimately, the safety and wellbeing of students with allergies. Given the high prevalence of food allergies among children, these findings demonstrate the need for multiple layers of support to facilitate safe, socially inclusive food allergy management at schools.

Women make up almost half of the labor force with older women becoming a growing segment of the population. Work characteristics influence physical functioning and women are at particular risk for physical limitations. However, little research has explored the effects of work characteristics on women's physical functioning. U.S. women between the ages of 50 and 79 were enrolled in the Women's Health Initiative Observational Study between 1993 and 1998. Women provided job titles and years worked at their three longest-held jobs (n = 79,147). Jobs were linked to characteristics in the Occupational Information Network. Three categories of job characteristics related to substantive complexity, physical demand, and social collaboration emerged. The association between job characteristics and physical limitations in later life, measured using a SF-36 Physical Functioning score

ABSTRACT The SARS-CoV-2 pandemic began by viral spillover from animals to humans; today multiple animal species are known to be susceptible to infection. White-tailed deer, Odocoileus virginianus, are infected in North America at substantial levels, and genomic data suggests that a variant in deer may have spilled back to humans. Here, we characterize SARS-CoV-2 in deer from Pennsylvania (PA) sampled during fall and winter 2021. Of 123 nasal swab samples analyzed by RT-qPCR, 20 (16.3%) were positive for SARS-CoV-2. Seven whole genome sequences were obtained, together with six more partial spike gene sequences. These annotated as alpha and delta variants, the first reported observations of these lineages in deer, documenting multiple new jumps from humans to deer. The alpha lineage persisted in deer after its displacement by delta in humans, and deer-derived alpha variants diverged significantly from those in humans, consistent with a distinctive evolutionary trajectory in deer. IMPORTANCE Coronaviruses have been documented to replicate in numerous species of vertebrates, and multiple spillovers of coronaviruses from animals into humans have founded human epidemics. The COVID-19 epidemic likely derived from a spillover of SARS-CoV-2 from bats into humans, possibly via an intermediate host. There are now several examples of SARS-CoV-2 jumping from humans into other mammals, including mink and deer, creating the potential for new animal reservoirs from which spillback into humans could occur. For this reason, data on formation of new animal reservoirs is of great importance for understanding possible sources of future infection. Here, we identify extensive infection in white-tailed deer in Pennsylvania, including what appear to be multiple independent transmissions. Data further suggests possible transmission among deer. These data thus help identify a potential new animal reservoir and provide background information relevant to its management.

BackgroundThe significant lifelong impairments associated with autism spectrum disorder (ASD), combined with the growing number of children diagnosed with ASD, have created urgency in improving school-based quality of care. Although many interventions have shown efficacy in university-based research, few have been effectively implemented and sustained in schools, the primary setting in which children with ASD receive services. Individual- and organizational-level factors have been shown to predict the implementation of evidence-based interventions (EBIs) for the prevention and treatment of other mental disorders in schools, and may be potential targets for implementation strategies in the successful use of autism EBIs in schools. The purpose of this study is to examine the individual- and organizational-level factors associated with the implementation of EBIs for children with ASD in public schools.MethodsWe will apply the Domitrovich and colleagues (2008) framework that examines the influence of contextual factors (i.e., individual- and organizational-level factors) on intervention implementation in schools. We utilize mixed methods to quantitatively test whether the factors identified in the Domitrovich and colleagues (2008) framework are associated with the implementation of autism EBIs, and use qualitative methods to provide a more comprehensive understanding of the factors associated with successful implementation and sustainment of these interventions with the goal of tailoring implementation strategies.DiscussionThe results of this study will provide an in-depth understanding of individual- and organizational-level factors that influence the successful implementation of EBIs for children with ASD in public schools. These data will inform potential implementation targets and tailoring of strategies that will help schools overcome barriers to implementation and ultimately improve the services and outcomes for children with ASD.

ABSTRACT The severe acute respiratory coronavirus-2 (SARS-CoV-2) is the cause of the global outbreak of COVID-19. Evidence suggests that the virus is evolving to allow efficient spread through the human population, including vaccinated individuals. Here, we report a study of viral variants from surveillance of the Delaware Valley, including the city of Philadelphia, and variants infecting vaccinated subjects. We sequenced and analyzed complete viral genomes from 2621 surveillance samples from March 2020 to September 2021 and compared them to genome sequences from 159 vaccine breakthroughs. In the early spring of 2020, all detected variants were of the B.1 and closely related lineages. A mixture of lineages followed, notably including B.1.243 followed by B.1.1.7 (alpha), with other lineages present at lower levels. Later isolations were dominated by B.1.617.2 (delta) and other delta lineages; delta was the exclusive variant present by the last time sampled. To investigate whether any variants appeared preferentially in vaccine breakthroughs, we devised a model based on Bayesian autoregressive moving average logistic multinomial regression to allow rigorous comparison. This revealed that B.1.617.2 (delta) showed 3-fold enrichment in vaccine breakthrough cases (odds ratio of 3; 95% credible interval 0.89-11). Viral point substitutions could also be associated with vaccine breakthroughs, notably the N501Y substitution found in the alpha, beta and gamma variants (odds ratio 2.04; 95% credible interval of1.25–3.18). This study thus overviews viral evolution and vaccine breakthroughs in the Delaware Valley and introduces a rigorous statistical approach to interrogating enrichment of breakthrough variants against a changing background. IMPORTANCE SARS-CoV-2 vaccination is highly effective at reducing viral infection, hospitalization and death. However, vaccine breakthrough infections have been widely observed, raising the question of whether particular viral variants or viral mutations are associated with breakthrough. Here, we report analysis of 2621 surveillance isolates from people diagnosed with COVID-19 in the Delaware Valley in southeastern Pennsylvania, allowing rigorous comparison to 159 vaccine breakthrough case specimens. Our best estimate is a 3-fold enrichment for some lineages of delta among breakthroughs, and enrichment of a notable spike substitution, N501Y. We introduce statistical methods that should be widely useful for evaluating vaccine breakthroughs and other viral phenotypes.

Abstract Background The National Institute on Drug Abuse has identified a persistent research-to-practice gap in the implementation of evidence-based prevention and treatment programs for substance use disorder. To identify mechanisms to close this gap, we sought to obtain and characterize the range of policy makers’ perspectives on the use of research in substance use disorder treatment and coverage decisions. Methods We conducted open-ended, semi-structured interviews with a purposive sample of eighteen policy makers involved in the delivery of health services. The aim was to identify barriers and facilitators, attitudes, beliefs, and experiences surrounding the use of research related to the treatment and economics of substance use disorder. Results The analysis generated four themes: 1) policy maker engagement with evidence and researchers; 2) strategic use and usefulness of research; 3) scientific rigor versus relevance; and 4) communication of evidence. Within each theme, the participants identified barriers, facilitators, current practice, and gave their perspectives on “ideal conditions” for research design, conduct and communication. Conclusions Recommendations for investigators are the following actionable steps: 1) partner with policy makers early in the research process, 2) formulate and use research designs to meet the strategic goals of end-users; 3) systematically test alternative phrasing of scientific terminology – particularly in the realm of cost effectiveness research – that allow end users to better understand and repurpose the data; 4) incorporate qualitative research methods to uncover the narratives that explain the context and relevance of evidence; 5) incorporate study designs that prioritize timeliness of results; and 6) promote and reward researcher involvement in policy discussions.

BackgroundIn 2020, the number of internet users surpassed 4.6 billion. Individuals who create and share digital data can leave a trail of information about their habits and preferences that collectively generate a digital footprint. Studies have shown that digital footprints can reveal important information regarding an individual’s health status, ranging from diet and exercise to depression. Uses of digital applications have accelerated during the COVID-19 pandemic where public health organizations have utilized technology to reduce the burden of transmission, ultimately leading to policy discussions about digital health privacy. Though US consumers report feeling concerned about the way their personal data is used, they continue to use digital technologies. ObjectiveThis study aimed to understand the extent to which consumers recognize possible health applications of their digital data and identify their most salient concerns around digital health privacy. MethodsWe conducted semistructured interviews with a diverse national sample of US adults from November 2018 to January 2019. Participants were recruited from the Ipsos KnowledgePanel, a nationally representative panel. Participants were asked to reflect on their own use of digital technology, rate various sources of digital information, and consider several hypothetical scenarios with varying sources and health-related applications of personal digital information. ResultsThe final cohort included a diverse national sample of 45 US consumers. Participants were generally unaware what consumer digital data might reveal about their health. They also revealed limited knowledge of current data collection and aggregation practices. When responding to specific scenarios with health-related applications of data, they had difficulty weighing the benefits and harms but expressed a desire for privacy protection. They saw benefits in using digital data to improve health, but wanted limits to health programs’ use of consumer digital data. ConclusionsCurrent privacy restrictions on health-related data are premised on the notion that these data are derived only from medical encounters. Given that an increasing amount of health-related data is derived from digital footprints in consumer settings, our findings suggest the need for greater transparency of data collection and uses, and broader health privacy protections.

BackgroundPrescription opioid misuse in the United States is a devastating public health crisis; many chronic opioid users were originally prescribed this class of medication for acute pain. Video narrative–enhanced risk communication may improve patient outcomes, such as knowledge of opioid risk and opioid use behaviors after an episode of acute pain. ObjectiveOur objective is to assess the effect of probabilistic and narrative-enhanced opioid risk communication on patient-reported outcomes, including knowledge, opioid use, and patient preferences, for patients who present to emergency departments with back pain and kidney stone pain. MethodsThis is a multisite randomized controlled trial. Patients presenting to the acute care facilities of four geographically and ethnically diverse US hospital centers with acute renal colic pain or musculoskeletal back and/or neck pain are eligible for this randomized controlled trial. A control group of patients receiving general risk information is compared to two intervention groups: one receiving the risk information sheet plus an individualized, visual probabilistic Opioid Risk Tool (ORT) and another receiving the risk information sheet plus a video narrative–enhanced probabilistic ORT. We will study the effect of probabilistic and narrative-enhanced opioid risk communication on the following: risk awareness and recall at 14 days postenrollment, reduced use or preferences for opioids after the emergency department episode, and alignment with patient preference and provider prescription. To assess these outcomes, we administer baseline patient surveys during acute care admission and follow-up surveys at predetermined times during the 3 months after discharge. ResultsA total of 1302 patients were enrolled over 24 months. The mean age of the participants was 40 years (SD 14), 692 out of 1302 (53.15%) were female, 556 out of 1302 (42.70%) were White, 498 out of 1302 (38.25%) were Black, 1002 out of 1302 (76.96%) had back pain, and 334 out of 1302 (25.65%) were at medium or high risk. Demographics and ORT scores were equally distributed across arms. ConclusionsThis study seeks to assess the potential clinical role of narrative-enhanced, risk-informed communication for acute pain management in acute care settings. This paper outlines the protocol used to implement the study and highlights crucial methodological, statistical, and stakeholder involvement as well as dissemination considerations. Trial RegistrationClinicalTrials.gov NCT03134092; https://clinicaltrials.gov/ct2/show/NCT03134092 International Registered Report Identifier (IRRID)DERR1-10.2196/19496

Abstract 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.

Objective: To evaluate the impact of the 2009 food package changes for the Special Supplemental Nutrition Program for Women, Infants, and Children (WIC) on the availability of healthful food. Design: Survey of all food stores in the study area before and after the changes were implemented. Setting: Two low-income neighborhoods in Philadelphia, 1 predominantly African-American, the other predominantly Hispanic. Participants: One hundred forty one supermarkets, grocery stores, and non-chain corner stores identified through field enumeration. Main Outcome Measures: Nutrition Environment Measure Survey for Stores (NEMS-S) to determine availability, price, and quality of fruit, vegetables, milk, cereal, beans, canned fish, meat, whole grains, and juice. Analysis: Comparison of NEMS-S scores before and after food package changes using t tests and ordinary least squares regression to understand the role of supermarket status, WIC participation, and racial and income composition in predicting NEMS-S scores; geographic information systems to calculate proximity of residents to food stores. Results: The availability of healthful food increased significantly in stores, overall, with more substantial increases in WIC-authorized stores. Supermarket status, WIC retail status, and NEMS-S scores at baseline were significant predictors of NEMS-S scores after the food package changes. Conclusions and Implications: Changes in the WIC food package were associated with increased availability of healthful food in 2 low-income neighborhoods. (Contains 4 tables and 2 figures.)