Achieving high cancer control trial enrollment in the community setting: An analysis of the Community Clinical Oncology Program

Determining the factors that lead to successful enrollment of patients in cancer control clinical trials is essential as cancer patients are often burdened with side effects such as pain, nausea, and fatigue. One promising intervention for increasing enrollment in cancer control trials is the National Cancer Institute’s Community Clinical Oncology Program (CCOP). In this article, we examined CCOP staffing, polices, and procedures associated with enrollment in control trials. Data were obtained from three sources: the online CCOP, MB-CCOP, and Research Base Management System, CCOP Annual Progress Reports, and a survey of CCOP Administrators conducted in 2011. We analyzed cancer control trial accrual in 2011 among 46 CCOPs using multivariate regression. Three factors were significant predictors of accrual. First, having a team of staff dedicated to enrolling patients in control and prevention trials, compared to having no dedicated staff, was associated on average with an additional 30 patients enrolled in control trials (p <0.05). Second, CCOPs that recognized physicians for enrolling a large number of patients compared to CCOPs that did not recognize high enrolling physicians enrolled on average an additional 25 patients in control trials (p <0.05). Lastly, the number of cancer control trials available was also associated with enrollment (β = 5.50, p<0.00). Our results indicate that CCOPs looking to increase enrollment in control trials should consider dedicating a team of staff to enroll patients in these types of trials. In addition, CCOPs or other volunteer research systems looking to increase physician participation should consider recognizing high enrolling physicians

A method for analyzing the business case for provider participation in the National Cancer Institute's Community Clinical Oncology Program and similar federally funded, provider-based research networks: Analyzing the Business Case for Research

The Community Clinical Oncology Program (CCOP) plays an essential role in the National Cancer Institute’s (NCI) efforts to increase enrollment in clinical trials. There is currently little practical guidance in the literature to assist provider organizations in analyzing the return on investment (ROI), or business case, for establishing and operating a provider-based research network (PBRN) such as the CCOP. This paper presents a conceptual model of the business case for PBRN participation and provides a spreadsheet-based tool and advice for evaluating the business case for provider participation in a CCOP organization

Organizational and physician factors associated with patient enrollment in cancer clinical trials

Our purpose was to identify physicians’ individual characteristics, attitudes, and organizational contextual factors associated with higher enrollment of patients in cancer clinical trials among physician participants in the National Cancer Institute’s Community Clinical Oncology Program (CCOP). We hypothesized that physicians’ individual characteristics, such as age, medical specialty, tenure, CCOP organizational factors (i.e., policies and procedures to encourage enrollment), and attitudes towards participating in CCOP would directly determine enrollment. We also hypothesized that physicians’ characteristics and CCOP organizational factors would influence physicians’ attitudes towards participating in CCOP, which in turn would predict enrollment

A phase III, multicenter, randomized, double-blind, active comparator-controlled study to evaluate the safety, tolerability, and immunogenicity of catch-up vaccination regimens of V114, a 15-valent pneumococcal conjugate vaccine, in healthy infants, children, and adolescents (PNEU-PLAN)

Background: Despite widespread use of pneumococcal conjugate vaccines (PCVs) in children, morbidity and mortality caused by pneumococcal disease (PD) remain high. In addition, many children do not complete their PCV course on schedule. V114 is a 15-valent PCV that contains two epidemiologically important serotypes, 22F and 33F, in addition to the 13 serotypes present in PCV13, the licensed 13-valent PCV. Methods: This phase III descriptive study evaluated safety and immunogenicity of catch-up vaccination with V114 or PCV13 in healthy children 7 months–17 years of age who were either pneumococcal vaccine-naïve or previously immunized with lower valency PCVs (NCT03885934). Overall, 606 healthy children were randomized to receive V114 (n = 303) or PCV13 (n = 303) via age-appropriate catch-up vaccination schedules in three age cohorts (7–11 months, 12–23 months, or 2–17 years). Results: Similar proportions of children 7–11 months and 2–17 years of age reported adverse events (AEs) in the V114 and PCV13 groups. A numerically greater proportion of children 12–23 months of age reported AEs in the V114 group (79.0%) than the PCV13 group (59.4%). The proportions of children who reported serious AEs varied between different age cohorts but were generally comparable between vaccination groups. No vaccine-related serious AEs were reported, and no deaths occurred. At 30 days after the last PCV dose, serotype-specific immunoglobulin G geometric mean concentrations were comparable between vaccination groups for the 13 shared serotypes and higher in the V114 group for 22F and 33F. Conclusions: Catch-up vaccination with V114 in healthy individuals 7 months–17 years of age was generally well tolerated and immunogenic for all 15 serotypes, including those not contained in PCV13, regardless of prior pneumococcal vaccination. These results support V114 catch-up vaccination in children with incomplete or no PCV immunization per the recommended schedule.publishedVersionPeer reviewe

Climate and air quality impacts due to mitigation of non-methane near-term climate forcers

It is important to understand how future environmental policies will impact both climate change and air pollution. Although targeting near-term climate forcers (NTCFs), defined here as aerosols, tropospheric ozone, and precursor gases, should improve air quality, NTCF reductions will also impact climate. Prior assessments of the impact of NTCF mitigation on air quality and climate have been limited. This is related to the idealized nature of some prior studies, simplified treatment of aerosols and chemically reactive gases, as well as a lack of a sufficiently large number of models to quantify model diversity and robust responses. Here, we quantify the 2015-2055 climate and air quality effects of non-methane NTCFs using nine state-of-the-art chemistry-climate model simulations conducted for the Aerosol and Chemistry Model Intercomparison Project (AerChemMIP). Simulations are driven by two future scenarios featuring similar increases in greenhouse gases (GHGs) but with weak (SSP3-7.0) versus strong (SSP3-7.0-lowNTCF) levels of air quality control measures. As SSP3-7.0 lacks climate policy and has the highest levels of NTCFs, our results (e.g., surface warming) represent an upper bound. Unsurprisingly, we find significant improvements in air quality under NTCF mitigation (strong versus weak air quality controls). Surface fine particulate matter (PM2:5) and ozone (O3) decrease by 2:20:32 ugm3 and 4:60:88 ppb, respectively (changes quoted here are for the entire 2015-2055 time period; uncertainty represents the 95% confidence interval), over global land surfaces, with larger reductions in some regions including south and southeast Asia. Non-methane NTCF mitigation, however, leads to additional climate change due to the removal of aerosol which causes a net warming effect, including global mean surface temperature and precipitation increases of 0:250:12K and 0:030:012mmd1, respectively. Similarly, increases in extreme weather indices, including the hottest and wettest days, also occur. Regionally, the largest warming and wetting occurs over Asia, including central and north Asia (0:660:20K and 0:030:02mmd1), south Asia (0:470:16K and 0:170:09mmd1), and east Asia (0:460:20K and 0:150:06mmd1). Relatively large warming and wetting of the Arctic also occur at 0:590:36K and 0:040:02mmd1, respectively. Similar surface warming occurs in model simulations with aerosol-only mitigation, implying weak cooling due to ozone reductions. Our findings suggest that future policies that aggressively target non-methane NTCF reductions will improve air quality but will lead to additional surface warming, particularly in Asia and the Arctic. Policies that address other NTCFs including methane, as well as carbon dioxide emissions, must also be adopted to meet climate mitigation goals. © Author(s) 2020. This work is distributed under the Creative Commons Attribution 4.0 License

A Festschrift Recital: Celebrating Dr. Carol Kimball\u27s 36 Years at the University of Nevada, Las Vegas

Program listing performers and works performe

Climate and air quality impacts due to mitigation of non-methane near-term climate forcers

Over the next few decades, policies that optimally address both climate change and air quality are essential. Although targeting near-term climate forcers (NTCFs), defined here as aerosols, tropospheric ozone and precursor gases (but not methane), should improve air quality, NTCF reductions will also impact climate. How future policies affect the abundance of NTCFs and their impact on climate and air quality remains uncertain. Here, we quantify the 2015–2055 climate and air quality effects of non-methane NTCFs using state-of-the-art chemistry-climate model simulations conducted for the Aerosol and Chemistry Model Intercomparison Project (AerChemMIP). Simulations are driven by two future scenarios featuring similar increases in greenhouse gases (GHGs) but with weak versus strong levels of air quality control measures. Unsurprisingly, we find significant improvements in air quality under NTCF mitigation (strong versus weak air quality controls). Surface ozone (O3) and fine particulate matter (PM2.5) decrease by −15 % and −25 %, respectively, over global land surfaces, with larger reductions in some regions including south and southeast Asia. Non-methane NTCF mitigation, however, leads to additional climate change due to the removal of aerosol which causes a net warming effect, including global mean surface temperature and precipitation increases of 0.24 K and 1.1 %, respectively, with similar increases in extreme weather indices. Regionally, the largest warming and wetting trends occur over Asia, including central and north Asia (0.56 K and 2.1 %), south Asia (0.48 K and 4.6 %) and east Asia (0.44 K and 4.7 %). Relatively large warming and wetting of the Arctic also occurs at 0.41 K and 2.1 %, respectively. Similar surface warming occurs in model simulations with aerosol-only mitigation, implying weak cooling due to ozone reductions. Our findings suggest that future policies that aggressively target non-methane NTCF reductions will improve air quality, but will lead to additional surface warming, particularly in Asia and the Arctic. Policies that address other NTCFs including methane, as well as carbon dioxide emissions, must also be adopted to meet mitigation goals

Unpacking value creation and value capture in collaborative networks for sustainability

Our study elucidates collaborative value creation and private value capture in collaborative networks in a context of sustainability. Collaborative networks that focus on innovative solutions for grand societal challenges are characterized by a multiplicity and diversity of actors that increase the complexity and coordination costs of collective action. These types of inter-organizational arrangements have underlying tensions as partners cooperate to create collaborative value and compete to capture or appropriate value on a private or organizational level, resulting in potential and actual value flows that are highly diffuse and uncertain among actors. We also observe that network participants capture value differentially, often citing the pro-social (e.g. community, belonging, importance) and extrinsic benefits of learning and reputation as valuable, but found it difficult to appropriate economic or social benefits from that value. Differential and asymmetric value appropriation among participants threatens continued network engagement and the potential collective value creation of collaborative networks. Our data indicates that networked value creation and capture requires maintaining resource complementarity and interdependency among network participants as the network evolves. We develop a framework to assess the relational value of collaborative networks and contribute to literature by unpacking the complexities of networked value creation and private value capture in collaborative networks for sustainability

Shifting cognitive frames through collective action to address grand challenges: A case study of a multi-stakeholder initiative in the apparel industry

Inter-organizational arrangements that aim to address social and environmental “grand challenges” often take the form of multi-stakeholder initiatives (MSIs) (also cross-sector partnerships or collaborations). Grand challenges -- problems characterized by knowledge uncertainty, dynamic complexity and value conflict -- require diverse organizations to join forces to resolve them. MSIs are complex and dynamic arrangements due to the constant change occurring in the external environment and in the dynamics of the collaboration, as each participating organization may have very different frames of reference and interests that impede action and continuity. Scholars have long recognized the tensions of conflicting logics that are inherent in MSIs and the challenges that MSIs face in reconciling incongruent organizational identities, goals or shared visions. Accordingly, MSIs need facilitators (i.e., ‘orchestrators’) to navigate the persistent and pervasive challenges of both reconciling conflicting logics and using complementary logics in such a way that the collaboration achieves collective goals. Our study examines how MSI orchestrators work to meet this challenge by shaping and shifting cognitive frames in the context of a mature organizational field. We investigate the mechanisms used to enable cognitive shifts in logic and highlight the role of orchestration in enacting frame shifts. Empirically, we examine an MSI in the apparel industry that aims to guide retailers and fashion brands in the implementation of recommerce and rental business models, thereby pushing the textile and apparel industry from linear to regenerative and circular use of textile resources. We identify several frames from the perspective of diverse stakeholders and uncover the four mechanisms that orchestrators use to influence frame shifts. We also see from our findings that orchestrators efforts to influence and navigate frame shifting is both emergent and planned as they attempt to navigate and manage the tensions and complexity that arise in multi-stakeholder initiatives focused on sustainability challenges

Shifting cognitive frames through collective action to address grand challenges: A case study of a multi-stakeholder initiative in the apparel industry

Inter-organizational arrangements that aim to address social and environmental “grand challenges” often take the form of multi-stakeholder initiatives (MSIs) (also cross-sector partnerships or collaborations). Grand challenges -- problems characterized by knowledge uncertainty, dynamic complexity and value conflict -- require diverse organizations to join forces to resolve them. MSIs are complex and dynamic arrangements due to the constant change occurring in the external environment and in the dynamics of the collaboration, as each participating organization may have very different frames of reference and interests that impede action and continuity. Scholars have long recognized the tensions of conflicting logics that are inherent in MSIs and the challenges that MSIs face in reconciling incongruent organizational identities, goals or shared visions. Accordingly, MSIs need facilitators (i.e., ‘orchestrators’) to navigate the persistent and pervasive challenges of both reconciling conflicting logics and using complementary logics in such a way that the collaboration achieves collective goals. Our study examines how MSI orchestrators work to meet this challenge by shaping and shifting cognitive frames in the context of a mature organizational field. We investigate the mechanisms used to enable cognitive shifts in logic and highlight the role of orchestration in enacting frame shifts. Empirically, we examine an MSI in the apparel industry that aims to guide retailers and fashion brands in the implementation of recommerce and rental business models, thereby pushing the textile and apparel industry from linear to regenerative and circular use of textile resources. We identify several frames from the perspective of diverse stakeholders and uncover the four mechanisms that orchestrators use to influence frame shifts. We also see from our findings that orchestrators efforts to influence and navigate frame shifting is both emergent and planned as they attempt to navigate and manage the tensions and complexity that arise in multi-stakeholder initiatives focused on sustainability challenges