No Child Actor Left Behind: Narratives on the Creation and Sustainability of Children's Community Theatre Companies

What makes a children’s community theatre company (CCTC) successful? Through in-depth interviews with four founders of children’s community theater companies, important steps, challenges and insights speaking to the sustainability of CCTCs were revealed. The founders took similar paths to success including finding a niche, filling a gap, and cultivating relationships with the community. They also took steps unique to their creation by acting extremely conservative, recognizing and utilizing a variety of resources, adapting to change and acquiring staff/volunteers with precise traits and talents. Overall, the CCTC founders, like other business entrepreneurs, encountered a series of trials and tribulations, but with thoughtful planning, foresight, resources, inspiration and deep commitment, they were each able to create a successful and lasting children’s community theatre company.M.S., Arts Administration -- Drexel University, 201

Integrating Systems Science and Community-Based Participatory Research to Achieve Health Equity

Unanswered questions about racial and socioeconomic health disparities may be addressed using community-based participatory research and systems science. Community-based participatory research is an orientation to research that prioritizes developing capacity, improving trust, and translating knowledge to action. Systems science provides research methods to study dynamic and interrelated forces that shape health disparities. Community-based participatory research and systems science are complementary, but their integration requires more research. We discuss paradigmatic, socioecological, capacity-building, colearning, and translational synergies that help advance progress toward health equity

Comparing effects of tobacco use prevention modalities: need for complex system models

Many modalities of tobacco use prevention programming have been implemented including various policy regulations (tax increases, warning labels, limits on access, smoke-free policies, and restrictions on marketing), mass media programming, school-based classroom education, family involvement, and involvement of community agents (i.e., medical, social, political). The present manuscript provides a glance at these modalities to compare relative and combined impact of them on youth tobacco use. In a majority of trials, community-wide programming, which includes multiple modalities, has not been found to achieve impacts greater than single modality programming. Possibly, the most effective means of prevention involves a careful selection of program type combinations. Also, it is likely that a mechanism for coordinating maximally across program types (e.g., staging of programming) is needed to encourage a synergistic impact. Studying tobacco use prevention as a complex system is considered as a means to maximize effects from combinations of prevention types. Future studies will need to more systematically consider the role of combined programming

Modeling the Impact of Nonpharmaceutical Interventions on COVID-19 Transmission in K-12 Schools

Background. The novel coronavirus SARS-CoV-2 spread across the world causing many waves of COVID-19. Children were at high risk of being exposed to the disease because they were not eligible for vaccination during the first 20 mo of the pandemic in the United States. While children 5 y and older are now eligible to receive a COVID-19 vaccine in the United States, vaccination rates remain low despite most schools returning to in-person instruction. Nonpharmaceutical interventions (NPIs) are important for controlling the spread of COVID-19 in K-12 schools. US school districts used varied and layered mitigation strategies during the pandemic. The goal of this article is to analyze the impact of different NPIs on COVID-19 transmission within K-12 schools. Methods. We developed a deterministic stratified SEIR model that captures the role of social contacts between cohorts in disease transmission to estimate COVID-19 incidence under different NPIs including masks, random screening, contact reduction, school closures, and test-to-stay. We designed contact matrices to simulate the contact patterns between students and teachers within schools. We estimated the proportion of susceptible infected associated with each intervention over 1 semester under the Omicron variant. Results. We find that masks and reducing contacts can greatly reduce new infections among students. Weekly screening tests also have a positive impact on disease mitigation. While self-quarantining symptomatic infections and school closures are effective measures for decreasing semester-end infections, they increase absenteeism. Conclusion. The model provides a useful tool for evaluating the impact of a variety of NPIs on disease transmission in K-12 schools. While the model is tested under Omicron variant parameters in US K-12 schools, it can be adapted to study other populations under different disease settings.HighlightsA stratified SEIR model was developed that captures the role of social contacts in K-12 schools to estimate COVID-19 transmission under different nonpharmaceutical interventions.While masks, random screening, contact reduction, school closures, and test-to-stay are all beneficial interventions, masks and contact reduction resulted in the greatest reduction in new infections among students from the tested scenarios.Layered interventions provide more benefits than implementing interventions independently

Organizational network strengthening effects on antiretroviral therapy initiation and adherence

The WHO recommends antiretroviral therapy (ART) initiation immediately after HIV diagnosis. When HIV services are fragmented and poorly coordinated, initiation of ART can be delayed. MEASURE Evaluation conducted an organizational network intervention in Addis Ababa, Ethiopia, which increased referral network density and client satisfaction in the intervention versus control networks. The objective of our study was to extend the parent study by assessing effects of network density on the speed of ART initiation and adherence to ART. Measures of client-time since HIV diagnosis, use of ART, satisfaction with HIV-related services, and adherence were obtained from cross-sectional interviews with female service recipients with HIV/AIDS at baseline (T1, 402) and at 18-month follow-up (T2, 524) and compared between network sites. We used weighted least squares estimation with probit regression techniques in a structural equation modeling framework for analyses. On average at follow-up, clients in the intervention network were more likely to have quicker ART initiation, and were initiated on ART 15 days faster than clients in the control network. Moreover, quicker ART initiation was associated with higher adherence. A unit increase in speed of ART initiation was associated with 0.5 points increase in latent adherence score in the intervention group (ρ < .05). Satisfaction with care positively predicted adherence to ART. Network density had no direct effect on ART adherence. This quasi-experiment demonstrated that increased referral network density, through improved HIV client referrals, can enhance speed of ART initiation, resulting in improved adherence. © Society of Behavioral Medicine 2018

The Effect of Legal and Hospital Policies on Physician Response to Prenatal Substance Exposure

Objectives : To determine the influence of a state's legal environment and a hospital's Prenatal Substance Exposure (PSE) protocol on physicians' propensity to respond when prenatal substance exposure is suspected. Methods : Using a sample of 1367 physicians from every state and the District of Columbia, we formulate a set of linear models to determine the impact of the legal environment and hospital protocol on physicians' response to PSE, the agreement between physicians' perceptions and actual state legal environments, and physicians' motivation to act when PSE is suspected. Results : Both protocol and legal environment showed to be significantly correlated with physicians' propensity to take action when PSE is suspected ( p < 0.05). Our analysis shows that physicians prefer a public health (patient-centered) approach to more punitive measures. Conclusions : Our results suggest a policy strategy focused first on enacting laws that would encourage a patient-centered approach, by developing and using hospital protocols to implement state policy, and then on educating physicians about the actual legal environment.Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/45325/1/10995_2004_Article_470716.pd

Interactions among poverty, gender, and health systems affect women's participation in services to prevent HIV transmission from mother to child: A causal loop analysis

Retention in care remains an important issue for prevention of mother-to-child transmission (PMTCT) programs according to WHO guidelines, formerly called the ªOption B+º approach. The objective of this study was to examine how poverty, gender, and health system factors interact to influence women's participation in PMTCT services. We used qualitative research, literature, and hypothesized variable connections to diagram causes and effects in causal loop models. We found that many factors, including antiretroviral therapy (ART) use, service design and quality, stigma, disclosure, spouse/partner influence, decision- making autonomy, and knowledge about PMTCT, influence psychosocial health, which in turn affects women's participation in PMTCT services. Thus, interventions to improve psychosocial health need to address many factors to be successful. We also found that the design of PMTCT services, a modifiable factor, is important because it affects several other factors. We identified 66 feedback loops that may contribute to policy resistanceÐthat is, a policy's failure to have its intended effect. Our findings point to the need for a multipronged intervention to encourage women's continued participation in PMTCT services and for longitudinal research to quantify and test our causal loop model

Changes in cigarette smoking initiation, cessation, and relapse among U.S. adults: a comparison of two longitudinal samples

Abstract Background The tobacco epidemic in the U.S. has matured in the past decade. However, due to rapidly changing social policy and commercial environments, tailored prevention and interventions are needed to support further reduction in smoking. Methods Using Tobacco Use Supplement to the Current Population Survey (TUS-CPS) 2002–2003 and 2010–2011 longitudinal cohorts, five smoking states are defined including daily-heavy, daily-light, non-daily, former and non-smoker. We quantified the changes between smoking states for the two longitudinal cohorts, and used a series of multivariable logistic regression models to examine the association of socio-demographic attributes and initial smoking states on smoking initiation, cessation, and relapse between waves within each cohort. Results The prevalence of adult heavy smoking decreased from 9.9% (95% CI: 9.6%, 10.2%) in 2002 to 7.1% (95% CI: 6.9%, 7.4%) in 2010. Non-daily smokers were less likely to quit in the 2010–2011 cohort than the 2002–2003 cohort (37.0% vs. 44.9%). Gender, age group, smoker type, race and marital status exhibit similar patterns in terms of their association to the odds of initiation, cessation and relapse between the two cohorts, while education groups showed some inconsistent results between the two cohorts regarding the odds of cessation. Conclusions Transitions between smoking states are complex and increasingly unstable, requiring a holistic, population-based perspective to understand the stocks and flows that ultimately dictate the public health impact of cigarette smoking behavior. This knowledge helps to identify groups in need of increased tobacco control prevention and intervention efforts

Mind maps and network analysis to evaluate conceptualization of complex issues: A case example evaluating systems science workshops for childhood obesity prevention

Across disciplines, it is common practice to bring together groups to solve complex problems. Facilitators are often asked to help groups organize information about and better understand the problem in order to develop and prioritize solutions. However, despite existence of several methods to elicit and characterize how individuals and groups think about and conceptualize an issue, many are difficult to implement in practice-based settings where resources such as technology and participant time are limited and research questions shift over time. This paper describes an easy-to-implement diagramming technique for eliciting conceptualization and a flexible network analysis method for characterizing changes in both individual and group conceptualization. We use a case example to illustrate how we used the methods to evaluate African American adolescent's conceptual understanding of obesity before and after participating in a series of four systems thinking workshops. The methods produced results that were sensitive to changes in conceptualization that were likely driven by the specific activities employed during the workshop sessions. The methods appear strong for capturing salient levels of conceptualization at both individual and collective levels. The paper concludes with a critical examination of strengths and weaknesses of the methods and implications for future practice and research