Program Implementation Strategies Associated With Reduced Acute Care Utilization for Medicaid Beneficiaries in California's Whole Person Care Pilot Program.

Public health care policymakers and payers are increasingly investing in efforts to address patients' health-related social needs (HRSNs) as a strategy for improving health while controlling or reducing costs. However, evidence regarding the implementation and impact of HRSN interventions remains limited. California's Whole Person Care Pilot program (WPC) was a Medicaid Section 1115 waiver demonstration program focused on the provision of care coordination and other services to address eligible beneficiaries' HRSN. In this study, we examine pilot-level variation in impact on acute care utilization and identify factors associated with differential outcomes. The majority of pilots reduced emergency department (ED) visits for enrollees relative to matched controls; however, only four pilots reduced both ED visits and hospitalizations. Coincidence analysis results highlight the importance of cross-sector partnerships, field-based outreach and engagement, and adequate program investment in differentiating pilots that reduced acute care utilization from those that did not.

Identifying factors and causal chains associated with optimal implementation of Lynch syndrome tumor screening: An application of coincidence analysis.

PURPOSE: This study compared Lynch syndrome universal tumor screening (UTS) across multiple health systems (some of which had 2 or more distinct UTS programs) to understand multilevel factors that may affect the successful implementation of complex programs. METHODS: Data from 66 stakeholder interviews were used to conduct multivalue coincidence analysis and identify key factors that consistently make a difference in whether UTS programs were implemented and optimized at the system level. RESULTS: The selected coincidence analysis model revealed combinations of conditions that distinguish 4 optimized UTS programs, 10 nonoptimized programs, and 4 systems with no program. Fully optimized UTS programs had both a maintenance champion and a positive inner setting. Two independent paths were unique to nonoptimized programs: (1) positive attitudes and a mixed inner setting or (2) limited planning and engaging among stakeholders. Negative views about UTS evidence or lack of knowledge about UTS led to a lack of planning and engaging, which subsequently prevented program implementation. CONCLUSION: The model improved our understanding of program implementation in health care systems and informed the creation of a toolkit to guide UTS implementation, optimization, and changes. Our findings and toolkit may serve as a use case to increase the successful implementation of other complex precision health programs.

How context links to best practice use in long-term care homes: a mixed methods study.

BACKGROUND: Context (work environment) plays a crucial role in implementing evidence-based best practices within health care settings. Context is multi-faceted and its complex relationship with best practice use by care aides in long-term care (LTC) homes are understudied. This study used an innovative approach to investigate how context elements interrelate and influence best practice use by LTC care aides. METHODS: In this secondary analysis study, we combined coincidence analysis (a configurational comparative method) and qualitative analysis to examine data collected through the Translating Research in Elder Care (TREC) program. Coincidence analysis of clinical microsystem (care unit)-level data aggregated from a survey of 1,506 care aides across 36 Canadian LTC homes identified configurations (paths) of context elements linked consistently to care aides' best practices use, measured with a scale of conceptual research use (CRU). Qualitative analysis of ethnographic case study data from 3 LTC homes (co-occurring with the survey) further informed interpretation of the configurations. RESULTS: Three paths led to very high CRU at the care unit level: very high leadership; frequent use of educational materials; or a combination of very high social capital (teamwork) and frequent communication between care aides and clinical educators or specialists. Conversely, 2 paths led to very low CRU, consisting of 3 context elements related to unfavorable conditions in relationships, resources, and formal learning opportunities. Our qualitative analysis provided insights into how specific context elements served as facilitators or barriers for best practices. This qualitative exploration was especially helpful in understanding 2 of the paths, illustrating the pivotal role of leadership and the function of teamwork in mitigating the negative impact of time constraints. CONCLUSIONS: Our study deepens understanding of the complex interrelationships between context elements and their impact on the implementation of best practices in LTC homes. The findings underscore that there is no singular, universal bundle of context-related elements that enhance or hinder best practice use in LTC homes.

Uncovering determinants of perceived feasibility of TF-CBT through coincidence analysis.

Introduction: A mental health provider's perception of how well an intervention can be carried out in their context (i.e., feasibility) is an important implementation outcome. This article aims to identify determinants of feasibility of trauma-focused cognitive behavioral therapy (TF-CBT) through a case-based causal approach. Method: Data come from an implementation-effectiveness study in which lay counselors (teachers and community health volunteers) implemented a culturally adapted manualized mental health intervention, TF-CBT, delivered to teens who were previously orphaned and were experiencing posttraumatic stress symptoms and prolonged grief in Western Kenya. The intervention team identified combinations of determinants that led to feasibility among teacher- and community health volunteer-counselors through coincidence analysis. Results: Among teacher-counselors, organizational-level factors (implementation climate, implementation leadership) determined moderate and high levels of feasibility. Among community health volunteer-counselors, a strong relationship between a clinical supervisor and the supervisee was the most influential determinant of feasibility. Conclusion: Methodology and findings from this article can guide the assessment of determinants of feasibility and the development of implementation strategies for manualized mental health interventions in contexts like Western Kenya. Plain Language Summary: A mental health provider's perception of how easy a therapy is to use in their work setting (i.e., feasibility) can impact whether the provider uses the therapy in their setting. Implementation researchers have recommended finding practices and constructs that lead to important indicators that a therapy will be used. However, limited research to our knowledge has searched and found practices and constructs that might determine feasibility of a therapy. This article uses existing data from a large trial looking at the continued use of a trauma-focused therapy to find practices and constructs that lead to moderate and high levels of feasibility. We found that in settings with a strong organizational structure that organization and leadership support for the therapy led to teachers in Kenya to perceive the therapy as easy to use. On the other hand, in settings with a weaker organizational structure, outside support from a clinical supervisor led to community health volunteers in Kenya perceiving the therapy as easy to use. The findings from this article can guide context-specific recommendations for increasing perceived therapy feasibility at the provider-, organization-, and policy levels.

Reducing sickness absence among public-sector healthcare employees: the difference-making roles of managerial and employee participation.

PURPOSE: Evaluations of organizational-level interventions to prevent work-related illness have identified enabling factors, but knowledge of necessary and sufficient conditions for intervention success is needed. The aim was to identify difference-making factors that distinguish intervention groups with and without a positive intervention effect on sickness absence. METHODS: An organizational-level intervention designed to decrease sickness absence by providing support from process facilitators was implemented at eight healthcare workplaces in Sweden between 2017 and 2018. We applied coincidence analysis (CNA) to analyze 34 factors and determine which factors were necessary and sufficient for a successful implementation of tailored interventional measures on an organizational level (dichotomous) and reduced sickness absence (trichotomous). RESULTS: Two factors perfectly explained both the presence and absence of a successful implementation: "a high sense of urgency" and "good anchoring and participation from the strategic management". The presence of either of these factors alone was sufficient for successful implementation, whereas the joint absence of both conditions was necessary and sufficient for the absence of successful implementation and an intervention effect. In addition, high employee participation was both necessary and sufficient for a high intervention effect. For organizations without high employee participation, successful implementation led to a medium-effect size. CONCLUSIONS: This study identified participation as a difference-maker in the implementation process. Participation from different stakeholders turned out to be important in different phases. When implementing organizational-level interventions, high participation from both strategic management and employees appears to be crucial in terms of the intervention's effect on sickness absence.

Exploring the Social Determinants of Mental Health by Race and Ethnicity in Army Wives.

OBJECTIVE: To explore the social determinants of mental health (SDoMH) by race/ethnicity in a sample with equal access to healthcare. Using an adaptation of the World Health Organization's SDoMH Framework, this secondary analysis examines the socio-economic factors that make up the SDoMH by race/ethnicity. METHOD: This paper employed configurational comparative methods (CCMs) to analyze various racial/ethnic subsets from quantitative survey data from (N = 327) active-duty Army wives. Data was collected in 2012 by Walter Reed Army Institute of Research. RESULTS: Initial exploratory analysis revealed the highest-scoring factors for each racial/ethnic subgroup: non-Hispanic Black: employment and a history of adverse childhood events (ACEs); Hispanic: living off post and a recent childbirth; junior enlisted non-Hispanic White: high work-family conflict and ACEs; non-Hispanic other race: high work-family conflict and not having a military history. Final analysis showed four models consistently explained clinically significant depression symptoms and four models consistently explained the absence of clinical depression symptoms, providing a solution for each racial/ethnic minority group (non-Hispanic Black, Hispanic, junior enlisted non-Hispanic White, and non-Hispanic other). DISCUSSION: These findings highlight that Army wives are not a monolithic group, despite their collective exposure to military-specific stressors. These findings also highlight the potential for applying configurational approaches to gain new insights into mental health outcomes for social science and clinical researchers.

The role of organizational capacity in intervention efficacy in a church-based cancer education program: A configurational analysis.

It is well-established in the field of implementation science that the context in which an intervention is delivered can play a crucial role in how well it is implemented. However, less is known about how organizational context or capacity relates to efficacy outcomes, particularly with health promotion interventions delivered outside of healthcare settings. The present study examined whether organizational capacity indicators were linked to key efficacy outcomes in an evidence-based cancer control intervention delivered in 13 African American churches in Maryland. Outcomes included increases in colorectal cancer knowledge and self-report colonoscopy screening behavior from baseline to follow-up. We used Coincidence Analysis to identify features of organizational capacity that uniquely distinguished churches with varying levels of cancer knowledge and screening. Indicators of organizational capacity (e.g., congregation size, prior health promotion experience) were from an existing measure of church organizational capacity for health promotion. A single solution pathway accounted for greater increases in colorectal cancer knowledge over 12 months, a combination of two conditions: conducting 3 or more health promotion activities in the prior 2 years together with not receiving any technical assistance from outside partners in the prior 2 years. A single condition accounted for greater increases in colonoscopy screening over 24 months: churches that had conducted health promotion activities in 1-4 different topical areas in the prior 2 years. Findings highlight aspects of organizational capacity (e.g., prior experience in health promotion) that may facilitate intervention efficacy and can help practitioners identify organizational settings most promising for intervention impact.

Factors that differentiate cancer risk management decisions among females with pathogenic/likely pathogenic variants in PALB2, CHEK2, and ATM.

PURPOSE: Following disclosure of pathogenic or likely pathogenic variants in hereditary cancer genes, patients face cancer risk management decisions. Through this mixed-methods study, we investigated cancer risk management decisions among females with pathogenic or likely pathogenic variants in PALB2, CHEK2, and ATM to understand why some patients follow National Comprehensive Cancer Network guidelines, whereas others do not. METHODS: Survey and interview data were cross-analyzed using a 3-stage approach. Identified factors were used to conduct coincidence analysis and differentiate between combinations of factors that result in following or not following guidelines. RESULTS: Of the 13 participants who underwent guideline inconsistent prophylactic surgery, 12 fit 1 of 3 unique patterns: (1) cancer-related anxiety in the absence of trust in care, (2) provider recommending surgery inconsistent with National Comprehensive Cancer Network guidelines, or (3) surgery occurring before genetic testing. Two unique patterns were found among 18 of 20 participants who followed guidelines: (1) anxiety along with trust in care or (2) lack of anxiety and no prophylactic surgery before testing. CONCLUSION: Health care provider recommendations and trust in care may influence whether individuals receive care that is congruent with risk levels conferred by specific genes. Interventions are needed to improve provider knowledge, patient trust in non-surgical care, and patient anxiety.

Configurações explicativas do desenvolvimento da resiliência nas redes de suprimentos da administração pública / Ámbitos explicativos del desarrollo de la resiliencia en las redes de abastecimiento de las administraciones públicas / Explanatory settings of the development of resilience in public administration supply networks

Resumo O capital social é uma lente teórica importante para explicar os relacionamentos interorganizacionais e a construção da resiliência nas redes de suprimentos. Para corroborar essa perspectiva, este estudo visa identificar quais atributos do capital social contribuem para explicar o desenvolvimento da resiliência nas redes de suprimentos da administração pública e de que forma eles se combinam nessa explicação. Para tanto, foi realizada uma pesquisa qualitativa e descritiva que utilizou entrevistas com a técnica da grade de repertório para a coleta de dados. Os dados foram analisados mediante a análise de conteúdo de Honey e a análise de coincidência (CNA). Os resultados da pesquisa indicam que o capital social se mostrou fundamental para desenvolver resiliência nas redes de suprimentos na administração pública, por meio dos atributos de compartilhamento de informações técnicas; precisão na comunicação; antecipação na comunicação de informações relevantes; reciprocidade; confiança; transparência e comprometimento. A originalidade do estudo reside na utilização da teoria do capital social em estudos sobre resiliência na administração pública e na adoção de um método de coleta e análise de dados robusto e ainda não explorado em pesquisas na administração pública brasileira. As principais contribuições do estudo foram: 1) destacar o capital social como constructo multinível que influencia o desenvolvimento da resiliência; 2) ampliar os estudos sobre resiliência na administração pública; 3) fornecer informações que podem ser utilizadas por gestores públicos, a fim de evitar ou minimizar a ocorrência de riscos que comprometam a prestação de serviços públicos e 4) adotar um método de pesquisa inédito na administração pública brasileira.

Resumen El capital social es una lente teórica importante para explicar las relaciones entre organizaciones y desarrollar la resiliencia en las redes de suministro. Corroborando esta perspectiva, este estudio tiene como objetivo identificar qué atributos del capital social contribuyen a explicar el desarrollo de la resiliencia en las redes de suministro de la administración pública y cómo se combinan en esta explicación. Se realizó una investigación cualitativa y descriptiva, utilizando entrevistas con la técnica de rejilla de repertorio para la recolección de datos. Los datos se analizaron utilizando el análisis de contenido de Honey y el análisis de coincidencia (CNA). Los resultados de la investigación indican que el capital social demostró ser fundamental para desarrollar resiliencia en las redes de abastecimiento de la administración pública, a través de los atributos de compartición de información técnica, precisión en la comunicación, anticipación en la comunicación de información relevante, reciprocidad, confianza, transparencia y compromiso. La originalidad del estudio radica en el uso de la teoría del capital social en estudios sobre resiliencia en la administración pública y en la adopción de un método robusto de recopilación y análisis de datos que aún no ha sido explorado en investigaciones en la administración pública brasileña. Las principales contribuciones del estudio fueron: (1) resaltar el capital social como un constructo multinivel que influye en el desarrollo de la resiliencia, (2) ampliar los estudios sobre resiliencia en la administración pública, (3) proporcionar información que pueda ser utilizada por los administradores para evitar o minimizar la ocurrencia de riesgos que comprometan la prestación de los servicios públicos y (4) adoptar un método de investigación inédito en la administración pública brasileña.

Abstract Social capital is an important theoretical lens for explaining interorganizational relationships and building resilience in supply networks. This study corroborates this perspective, aiming to identify which attributes of social capital contribute to explaining the development of resilience in public administration supply networks and how they combine in this explanation. A qualitative and descriptive research was carried out, using interviews with the repertoire grid technique for data collection. Data were analyzed using Honey's content analysis and coincidence analysis (CNA). The research results indicate that social capital proved to be fundamental to developing resilience in supply networks in public administration, through the attributes of sharing technical information, precision in communication, anticipation in communicating relevant information, reciprocity, trust, transparency, and commitment. The originality of the study lies in the use of social capital theory in studies on resilience in public administration and in the adoption of a robust data collection and analysis method that has not yet been explored in research in Brazilian public administration. The main contributions of the study were: (1) to highlight social capital as a multilevel construct that influences the development of resilience, (2) to expand studies on resilience in public administration, (3) to provide information that public managers can use to avoid or minimize the risks that jeopardize the provision of public services, and (4) to adopt an unprecedented research method in the Brazilian public administration.

The detection and attribution of extreme reductions in vegetation growth across the global land surface.

Negative extreme anomalies in vegetation growth (NEGs) usually indicate severely impaired ecosystem services. These NEGs can result from diverse natural and anthropogenic causes, especially climate extremes (CEs). However, the relationship between NEGs and many types of CEs remains largely unknown at regional and global scales. Here, with satellite-derived vegetation index data and supporting tree-ring chronologies, we identify periods of NEGs from 1981 to 2015 across the global land surface. We find 70% of these NEGs are attributable to five types of CEs and their combinations, with compound CEs generally more detrimental than individual ones. More importantly, we find that dominant CEs for NEGs vary by biome and region. Specifically, cold and/or wet extremes dominate NEGs in temperate mountains and high latitudes, whereas soil drought and related compound extremes are primarily responsible for NEGs in wet tropical, arid and semi-arid regions. Key characteristics (e.g., the frequency, intensity and duration of CEs, and the vulnerability of vegetation) that determine the dominance of CEs are also region- and biome-dependent. For example, in the wet tropics, dominant individual CEs have both higher intensity and longer duration than non-dominant ones. However, in the dry tropics and some temperate regions, a longer CE duration is more important than higher intensity. Our work provides the first global accounting of the attribution of NEGs to diverse climatic extremes. Our analysis has important implications for developing climate-specific disaster prevention and mitigation plans among different regions of the globe in a changing climate.

Configurational Causal Modeling and Logic Regression.

Configurational comparative methods (CCMs) and logic regression methods (LRMs) are two families of exploratory methods that employ very different techniques to analyze data generated by causal structures featuring conjunctural causation and equifinality. Aiming for the same by different means carries a substantive synergy potential, which, however, remains untapped so far because representatives of the two frameworks know little of each other. The purpose of this article is to change that. We first level the field for readers from both backgrounds by providing brief introductions to the basic ideas behind CCMs and LRMs. Then, we carve out the strengths and weaknesses of the two method families by benchmarking their performance when applied to binary data under a variety of different discovery contexts. It turns out that CCMs and LRMs have complementary strengths and weaknesses. This creates various promising avenues for cross-validation.

Achieving transformation to lean management systems in health care.

OBJECTIVE: To understand what factors and organizational dynamics enable Lean transformation of health care organizations. DATA SOURCES: Primary data were collected through two waves of interviews in 2016-2017 with leaders and staff at seven veterans affairs medical centers participating in Lean enterprise transformation. STUDY DESIGN: Using an observational study design, for each site we coded and rated seven potential enablers of transformation. The outcome measure was the extent of Lean transformation, constructed by coding and rating 11 markers of depth and spread of transformation. Using multivalue coincidence analysis (CNA), we identified enablers that distinguished among sites having different levels of transformation. We identified representative quotes for the enablers. DATA COLLECTION METHODS: We interviewed 121 executive leaders, middle managers, expert consultants, systems redesign staff, frontline supervisors, and staff. PRINCIPAL FINDINGS: Two sites achieved high Lean transformation, three medium, and two low. Together leadership support and capability development were sufficient for the three-level Lean transformation outcomes with 100% consistency and 100% coverage. High scores on both corresponded to high Lean transformation; medium on either one corresponded to medium transformation; and low on both corresponded to low transformation. Additionally, low scores in communication and availability of data and very low scores in alignment characterized low-transformation sites. Sites with high leadership support also had a high veteran engagement. CONCLUSIONS: This multisite study develops a novel measure of the extent of organization-wide Lean transformation and uses CNA to identify enablers linked to transformation. It provides insights into why and how some organizations are more successful at transformation than others. Findings support the applicability of the organization transformation model that guided the study and highlight the roles of executive leadership and capability development in the dynamics of transformation.

Modeling Contingency in Veteran Community Reintegration: A Mixed Methods Approach.

Researchers need approaches for analyzing complex phenomena when assessing contingency relationships where specific conditions explain an outcome only when combined with other conditions. Using a mixed methods design, we paired configurational methods and qualitative thematic analysis to model contingency in veteran community reintegration outcomes, identifying combinations of conditions that led to success or lack of success in community reintegration among US military veterans. This pairing allowed for modeling contingency at a detailed level beyond the capabilities of either approach alone. Our analysis revealed multiple contingent relationships at work in explaining reintegration, including social support, purpose, cultural adjustment, and military separation experiences. This study contributes to the field of mixed methods by pairing a mathematical cross-case method with a qualitative method to model contingency.

Combinational Regularity Analysis (CORA) - a new method for uncovering complex causation in medical and health research.

BACKGROUND: Modern configurational comparative methods (CCMs) of causal inference, such as Qualitative Comparative Analysis (QCA) and Coincidence Analysis (CNA), have started to make inroads into medical and health research over the last decade. At the same time, these methods remain unable to process data on multi-morbidity, a situation in which at least two chronic conditions are simultaneously present. Such data require the capability to analyze complex effects. Against a background of fast-growing numbers of patients with multi-morbid diagnoses, we present a new member of the family of CCMs with which multiple conditions and their complex conjunctions can be analyzed: Combinational Regularity Analysis (CORA). METHODS: The technical heart of CORA consists of algorithms that have originally been developed in electrical engineering for the analysis of multi-output switching circuits. We have adapted these algorithms for purposes of configurational data analysis. To demonstrate CORA, we provide several example applications, both with simulated and empirical data, by means of the eponymous software package CORA. Also included in CORA is the possibility to mine configurational data and to visualize results via logic diagrams. RESULTS: For simple single-condition analyses, CORA's solution is identical with that of QCA or CNA. However, analyses of multiple conditions with CORA differ in important respects from analyses with QCA or CNA. Most importantly, CORA is presently the only configurational method able to simultaneously explain individual conditions as well as complex conjunctions of conditions. CONCLUSIONS: Through CORA, problems of multi-morbidity in particular, and configurational analyses of complex effects in general, come into the analytical reach of CCMs. Future research aims to further broaden and enhance CORA's capabilities for refining such analyses.

Facility-level program components leading to population impact: a coincidence analysis of obesity treatment options within the Veterans Health Administration.

Obesity is a well-established risk factor for increased morbidity and mortality. Comprehensive lifestyle interventions, pharmacotherapy, and bariatric surgery are three effective treatment approaches for obesity. The Veterans Health Administration (VHA) offers all three domains but in different configurations across medical facilities. Study aim was to explore the relationship between configurations of three types of obesity treatments, context, and population impact across VHA using coincidence analysis. This was a cross-sectional analysis of survey data describing weight management treatment components linked with administrative data to compute population impact for each facility. Coincidence analysis was used to identify combinations of treatment components that led to higher population impact. Facilities with higher impact were in the top two quintiles for (1) reach to eligible patients and (2) weight outcomes. Sixty-nine facilities were included in the analyses. The final model explained 88% (29/33) of the higher-impact facilities with 91% consistency (29/32) and was comprised of five distinct pathways. Each of the five pathways depended on facility complexity-level plus factors from one or more of the three domains of weight management: comprehensive lifestyle interventions, pharmacotherapy, and/or bariatric surgery. Three pathways include components from multiple treatment domains. Combinations of conditions formed "recipes" that lead to higher population impact. Our coincidence analyses highlighted both the importance of local context and how combinations of specific conditions consistently and uniquely distinguished higher impact facilities from lower impact facilities for weight management.

Obesity can contribute to increased rates of ill health and earlier death. Proven treatments for obesity include programs that help people improve lifestyle behaviors (e.g., being physically active), medications, and/or bariatric surgery. In the Veterans Health Administration (VHA), all three types of treatments are offered, but not at every medical center­in practice, individual medical centers offer different combinations of treatment options to their patients. VHA medical centers also have a wide range of population impact. We identified high-impact medical centers (centers with the most patients participating in obesity treatment who would benefit from treatment AND that reported the most weight loss for their patients) and examined which treatment configurations led to better population-level outcomes (i.e., higher population impact). We used a novel analysis approach that allows us to compare combinations of treatment components, instead of analyzing them one-by-one. We found that optimal combinations are context-sensitive and depend on the type of center (e.g., large centers affiliated with a university vs. smaller rural centers). We list five different "recipes" of treatment combinations leading to higher population-level impact. This information can be used by clinical leaders to design treatment programs to maximize benefits for their patients.

A Mixed-Methods Protocol to Identify Best Practices for Implementing Pharmacogenetic Testing in Clinical Settings.

Using a patient's genetic information to inform medication prescriptions can be clinically effective; however, the practice has not been widely implemented. Health systems need guidance on how to engage with providers to improve pharmacogenetic test utilization. Approaches from the field of implementation science may shed light on the complex factors affecting pharmacogenetic test use in real-world settings and areas to target to improve utilization. This paper presents an approach to studying the application of precision medicine that utilizes mixed qualitative and quantitative methods and implementation science frameworks to understand which factors or combinations consistently account for high versus low utilization of pharmocogenetic testing. This approach involves two phases: (1) collection of qualitative and quantitative data from providers-the cases-at four clinical institutions about their experiences with, and utilization of, pharmacogenetic testing to identify salient factors; and (2) analysis using a Configurational Comparative Method (CCM), using a mathematical algorithm to identify the minimally necessary and sufficient factors that distinguish providers who have higher utilization from those with low utilization. Advantages of this approach are that it can be used for small to moderate sample sizes, and it accounts for conditions found in real-world settings by demonstrating how they coincide to affect utilization.

Defining optimal implementation packages for delivering community-wide mass drug administration for soil-transmitted helminths with high coverage.

BACKGROUND: Recent evidence suggests that community-wide mass drug administration (MDA) may interrupt the transmission of soil-transmitted helminths (STH), a group of intestinal worms that infect 1.5 billion individuals globally. Although current operational guidelines provide best practices for effective MDA delivery, they do not describe which activities are most essential for achieving high coverage or how they work together to produce effective intervention delivery. We aimed to identify the various packages of influential intervention delivery activities that result in high coverage of community-wide MDA for STH in Benin, India, and Malawi. METHODS: We applied coincidence analysis (CNA), a novel cross-case analytical method, to process mapping data as part of the implementation science research of the DeWorm3 Project, a Hybrid Type 1 cluster randomized controlled trial assessing the feasibility of interrupting the transmission of STH using bi-annual community-wide MDA in Benin, India, and Malawi. Our analysis aimed to identify any necessary and/or sufficient combinations of intervention delivery activities (i.e., implementation pathways) that resulted in high MDA coverage. Activities were related to drug supply chain, implementer training, community sensitization strategy, intervention duration, and implementation context. We used pooled implementation data from three sites and six intervention rounds, with study clusters serving as analytical cases (N = 360). Secondary analyses assessed differences in pathways across sites and over intervention rounds. RESULTS: Across all three sites and six intervention rounds, efficient duration of MDA delivery (within ten days) singularly emerged as a common and fundamental component for achieving high MDA coverage when combined with other particular activities, including a conducive implementation context, early arrival of albendazole before the planned start of MDA, or a flexible community sensitization strategy. No individual activity proved sufficient by itself for producing high MDA coverage. We observed four possible overall models that could explain effective MDA delivery strategies, all which included efficient duration of MDA delivery as an integral component. CONCLUSION: Efficient duration of MDA delivery uniquely stood out as a highly influential implementation activity for producing high coverage of community-wide MDA for STH. Effective MDA delivery can be achieved with flexible implementation strategies that include various combinations of influential intervention components.

How education and racial segregation intersect in neighborhoods with persistently low COVID-19 vaccination rates in Philadelphia.

BACKGROUND: COVID-19 infection has disproportionately affected socially disadvantaged neighborhoods. Despite this disproportionate burden of infection, these neighborhoods have also lagged in COVID-19 vaccinations. To date, we have little understanding of the ways that various types of social conditions intersect to explain the complex causes of lower COVID-19 vaccination rates in neighborhoods. METHODS: We used configurational comparative methods (CCMs) to study COVID-19 vaccination rates in Philadelphia by neighborhood (proxied by zip code tabulation areas). Specifically, we identified neighborhoods where COVID-19 vaccination rates (per 10,000) were persistently low from March 2021 - May 2021. We then assessed how different combinations of social conditions (pathways) uniquely distinguished neighborhoods with persistently low vaccination rates from the other neighborhoods in the city. Social conditions included measures of economic inequities, racial segregation, education, overcrowding, service employment, public transit use, health insurance and limited English proficiency. RESULTS: Two factors consistently distinguished neighborhoods with persistently low COVID-19 vaccination rates from the others: college education and concentrated racial privilege. Two factor values together - low college education AND low/medium concentrated racial privilege - identified persistently low COVID-19 vaccination rates in neighborhoods, with high consistency (0.92) and high coverage (0.86). Different values for education and concentrated racial privilege - medium/high college education OR high concentrated racial privilege - were each sufficient by themselves to explain neighborhoods where COVID-19 vaccination rates were not persistently low, likewise with high consistency (0.93) and high coverage (0.97). CONCLUSIONS: Pairing CCMs with geospatial mapping can help identify complex relationships between social conditions linked to low COVID-19 vaccination rates. Understanding how neighborhood conditions combine to create inequities in communities could inform the design of interventions tailored to address COVID-19 vaccination disparities.

Climate Anomalies and Spillover of Bat-Borne Viral Diseases in the Asia-Pacific Region and the Arabian Peninsula.

Climate variability and anomalies are known drivers of the emergence and outbreaks of infectious diseases. In this study, we investigated the potential association between climate factors and anomalies, including El Niño Southern Oscillation (ENSO) and land surface temperature anomalies, as well as the emergence and spillover events of bat-borne viral diseases in humans and livestock in the Asia-Pacific region and the Arabian Peninsula. Our findings from time series analyses, logistic regression models, and structural equation modelling revealed that the spillover patterns of the Nipah virus in Bangladesh and the Hendra virus in Australia were differently impacted by climate variability and with different time lags. We also used event coincidence analysis to show that the emergence events of most bat-borne viral diseases in the Asia-Pacific region and the Arabian Peninsula were statistically associated with ENSO climate anomalies. Spillover patterns of the Nipah virus in Bangladesh and the Hendra virus in Australia were also significantly associated with these events, although the pattern and co-influence of other climate factors differed. Our results suggest that climate factors and anomalies may create opportunities for virus spillover from bats to livestock and humans. Ongoing climate change and the future intensification of El Niño events will therefore potentially increase the emergence and spillover of bat-borne viral diseases in the Asia-Pacific region and the Arabian Peninsula.

Evaluation of organizational capacity in the implementation of a church-based cancer education program.

Implementation evaluations have increasingly taken into account how features of local context help determine implementation outcomes. The purpose of this study was to determine which contextual features of organizational capacity led directly to the RE-AIM Framework implementation outcomes of intervention reach and number of days taken to implement, in an implementation trial of a series of cancer education workshops conducted across 13 African American churches in Maryland. We used a configurational approach with Coincidence Analysis to identify specific features of organizational capacity that uniquely distinguished churches with implementation success from those that were less successful. Aspects of organizational capacity (e.g., congregation size, staffing/volunteers, health ministry experience) were drawn from an existing measure of church organizational capacity for health promotion. Solution pathways leading to higher intervention reach included: having a health ministry in place for 1-4 years; or having fewer than 100 members; or mid-size churches that had conducted health promotion activities in 1-4 different topics in the past 2 years. Solution pathways to implementing the intervention in fewer number of days included: having conducted 1-2 health promotion activities in the past 2 years; or having 1-5 part-time staff and a pastor without additional outside employment; or churches with a doctorally prepared pastor and a weekly attendance of 101-249 members. Study findings can inform future theory, research, and practice in implementation of evidence-based health promotion interventions delivered in faith-based and other limited-resource community settings. Findings support the important role of organizational capacity in implementation outcomes in these settings.