Balancing Access to Data And Privacy. A review of the issues and approaches for the future

Access to sensitive micro data should be provided using remote access data enclaves. These enclaves should be built to facilitate the productive, high-quality usage of microdata. In other words, they should support a collaborative environment that facilitates the development and exchange of knowledge about data among data producers and consumers. The experience of the physical and life sciences has shown that it is possible to develop a research community and a knowledge infrastructure around both research questions and the different types of data necessary to answer policy questions. In sum, establishing a virtual organization approach would provided the research community with the ability to move away from individual, or artisan, science, towards the more generally accepted community based approach. Enclave should include a number of features: metadata documentation capacity so that knowledge about data can be shared; capacity to add data so that the data infrastructure can be augmented; communication capacity, such as wikis, blogs and discussion groups so that knowledge about the data can be deepened and incentives for information sharing so that a community of practice can be built. The opportunity to transform micro-data based research through such a organizational infrastructure could potentially be as far-reaching as the changes that have taken place in the biological and astronomical sciences. It is, however, an open research question how such an organization should be established: whether the approach should be centralized or decentralized. Similarly, it is an open research question as to the appropriate metrics of success, and the best incentives to put in place to achieve success.Methodology for Collecting, Estimating, Organizing Microeconomic Data

RECENT DEVELOPMENTS IN EU POLICIES – CHALLENGES FOR PARTIAL EQUILIBRIUM MODELS

This paper gives an overview on current and prospective modelling challenges for agricultural partial equilibrium (PE) models focussing on EU policies. Starting from a certain policy context, the paper highlights the current capabilities and limitations of existing PE models and, if available, develops some ideas on future modelling directions to advance the usefulness of quantitative information provided.Policy impact assessment, agricultural partial equilibrium models, Common Agricultural Policy, Agricultural and Food Policy, Research Methods/ Statistical Methods,

Contemp Clin Trials

The opioid crisis continues to affect pregnant and postpartum women the United States, with the number of pregnant women diagnosed with opioid use disorder (OUD) quadrupling over the last decade. The associated increase in morbidity and mortality among mother and baby warrants prompt, targeted intervention efforts that improve engagement, linkage of care, and treatment retention. Patient navigation (PN) is a chronic care intervention that can directly address this need by helping women identify medical, behavioral, and psychosocial care goals. Moreover, PN can assist women in preparing for, engaging in, and maintaining patient participation in necessary services. Specifically, PN includes strengths-based case management, 1-1 clinical support, motivational interviewing, and addiction-relapse prevention programming. The objective of this article is to present the study protocol of a pilot multisite randomized clinical trial, entitled: Optimizing Pregnancy and Treatment Interventions for Moms 2.0 (OPTI-Mom 2.0; NCT03833245). In this study, we build upon a proof-of-concept study, employing evidence-informed frameworks for protocol and intervention expansion in order to construct a PN intervention tailored for pregnant women with OUD in central Utah and southwestern Pennsylvania. Our protocol provides an initial framework of a potentially impactful intervention and may guide development of future programs. Importantly, this study further establishes the evidence-base-with potential to ameliorate serious adverse opioid-related outcomes and improve health for women and their children.R01 CE002996/CE/NCIPC CDC HHS/United StatesR01CE002996/ACL/ACL HHS/United States2020-05-06T00:00:00Z31731006PMC72018987642vault:3544

Adolescent Trials Network for HIV-AIDS Scale It Up Program: Protocol for a Rational and Overview

Background: The past 30 years have witnessed such significant progress in the prevention and treatment of HIV/AIDS that an AIDS-free generation and the end to the global AIDS epidemic are ambitious, but achievable, national and global goals. Despite growing optimism, globally, youth living with HIV are markedly less likely to receive antiretroviral therapy than adults (23% vs 38%). Furthermore, marked health disparities exist regarding HIV infection risk, with young men of color who have sex with men disproportionately affected. A large body of research has identified highly impactful facilitators of and barriers to behavior change. Several efficacious interventions have been created that decrease the rate of new HIV infections among youth and reduce morbidity among youth living with HIV. However, full benefits that should be possible based on the tools and interventions currently available are yet to be realized in youth, in large part, because efficacious interventions have not been implemented in real-world settings. Scale It Up (SIU) primarily aims to assemble research teams that will ultimately bring to practice evidence-based interventions that positively impact the youth HIV prevention and care cascades, and in turn, advance the fields of implementation science and self-management science. Objective: This paper aims to describe the structure of the U19-SIU and the effectiveness-implementation hybrid trials, as well as other center-wide protocols and initiatives, implemented within SIU. Methods: SIU will achieve its aims through 4 individual primary protocols, 2 center-wide protocols, and 3 cross-project initiatives. Results: SIU was funded by National Institute for Child Health and Human Development (U19HD089875) and began in October 2016. As of November 2018, 6 SIU protocols have launched at least the first phase of work (ATN 144 SMART: Sequential Multiple Assignment Randomized Trial; ATN 145 YMHP: Young Men’s Health Project; ATN 146 TMI: Tailored Motivational Interviewing Intervention; ATN 153 EPIS: Exploration, Preparation, Implementation, Sustainment model; ATN 154 CM: Cascade Monitoring; ATN 156 We Test: Couples\u27 Communication and HIV Testing). Further details can be found in the individual protocol papers. Conclusions: To date, the youth HIV research portfolio has not adequately advanced the important care area of self-management. SIU protocols and initiatives address this broad issue by focusing on evaluating the effectiveness and implementation of self-management interventions. SIU is highly innovative for 5 primary reasons: (1) our research framework expands the application of “self-management”; (2) the 4 primary protocols utilize innovative hybrid designs; (3) our Analytic Core will conduct cost-effectiveness analyses of each intervention; (4) across all 4 primary protocols, our Implementation Science Core will apply implementation scales designed to assess inner and outer context factors; and (5) we shall advance understanding of the dynamics between provider and patient through analysis of recorded interactions

AAPOR Report on Big Data

In recent years we have seen an increase in the amount of statistics in society describing different phenomena based on so called Big Data. The term Big Data is used for a variety of data as explained in the report, many of them characterized not just by their large volume, but also by their variety and velocity, the organic way in which they are created, and the new types of processes needed to analyze them and make inference from them. The change in the nature of the new types of data, their availability, the way in which they are collected, and disseminated are fundamental. The change constitutes a paradigm shift for survey research.There is a great potential in Big Data but there are some fundamental challenges that have to be resolved before its full potential can be realized. In this report we give examples of different types of Big Data and their potential for survey research. We also describe the Big Data process and discuss its main challenges

Explaining Physician Technology Acceptance of Computerized Physician Order Entry (CPOE)

This study explores factors relating to physicians acceptance of technology for computerized physician order entry (CPOE. Given the complexity of the healthcare industry and its unique occupational dynamics, the Davis’ Technology Acceptance Model (TAM) alone may not be an appropriate methodology for explaining technology acceptance as it applies to medical practitioners. Along with perceived ease of use and perceived usefulness, the constructs of the TAM, we posit that behavioral constructs also influence physicians’ acceptance of technology. These include the physician work values of achievement, autonomy/independence, relationships and recognition, and physician subjective norms and perceived behavioral control. In this paper, we report findings which provide preliminary empirical support for the theory that work values, norms, and control also influence technology acceptance

The effects of motivational climate interventions on psychobiosocial states in high school physical education

Purpose: The purpose of this study was to examine the effects of task- and ego-involving climate manipulations on students’ climate perception and psychobiosocial (PBS) states in a physical education setting. Method: Two subsamples of female students (N = 108, 14-15 years of age) participated for 12 lessons on either a task- or an ego-involving climate intervention as grounded in the TARGET model. Results: At the end of the treatment, the participants of the ego-involved group reported lower scores in perceived task-involving climate and higher scores in perceived ego-involving climate than their peers in the task-involved group. Lower scores in pleasant/functional PBS states and higher scores in unpleasant/dysfunctional PBS states were also observed in the ego-involved group as a consequence of the intervention. Conclusion(s): Findings suggested that teacher’s induced achievement motivational climates can influence students’ perceptions and prompt PBS states consistent with the motivational atmosphere

Reconciling Contemporary Approaches to School Attendance and School Absenteeism: Toward Promotion and Nimble Response, Global Policy Review and Implementation, and Future Adaptability (Part 1)

School attendance is an important foundational competency for children and adolescents, and school absenteeism has been linked to myriad short- and long-term negative consequences, even into adulthood. Many efforts have been made to conceptualize and address this population across various categories and dimensions of functioning and across multiple disciplines, resulting in both a rich literature base and a splintered view regarding this population. This article (Part 1 of 2) reviews and critiques key categorical and dimensional approaches to conceptualizing school attendance and school absenteeism, with an eye toward reconciling these approaches (Part 2 of 2) to develop a roadmap for preventative and intervention strategies, early warning systems and nimble response, global policy review, dissemination and implementation, and adaptations to future changes in education and technology. This article sets the stage for a discussion of a multidimensional, multi-tiered system of supports pyramid model as a heuristic framework for conceptualizing the manifold aspects of school attendance and school absenteeism