Structured feedback training for timeout: Efficacy and efficiency in comparison to a didactic model

Although time-out has been demonstrated to be effective across multiple settings, little research exists on effective methods for training others to implement time-out. The present set of studies is an exploratory analysis of a structured feedback method for training time-out using repeated role-plays. The three studies examined (a) a between-subjects comparison to more a traditional didactic/video modeling method of time-out training, (b) a within-subjects comparison to traditional didactic/video modeling training for another skill, and (c) the impact of structured feedback training on in-home time-out implementation. Though findings are only preliminary and more research is needed, the structured feedback method appears across studies to be an efficient, effective method that demonstrates good maintenance of skill up to 3 months post training. Findings suggest, though do not confirm, a benefit of the structured feedback method over a more traditional didactic/video training model. Implications and further research on the method are discussed

The mPower Study, Parkinson Disease Mobile Data Collected Using Researchkit

Current measures of health and disease are often insensitive, episodic, and subjective. Further, these measures generally are not designed to provide meaningful feedback to individuals. The impact of high-resolution activity data collected from mobile phones is only beginning to be explored. Here we present data from mPower, a clinical observational study about Parkinson disease conducted purely through an iPhone app interface. The study interrogated aspects of this movement disorder through surveys and frequent sensor-based recordings from participants with and without Parkinson disease. Benefitting from large enrollment and repeated measurements on many individuals, these data may help establish baseline variability of real-world activity measurement collected via mobile phones, and ultimately may lead to quantification of the ebbs-and-flows of Parkinson symptoms. App source code for these data collection modules are available through an open source license for use in studies of other conditions. We hope that releasing data contributed by engaged research participants will seed a new community of analysts working collaboratively on understanding mobile health data to advance human health

Duoethnography as Transformative Praxis: Conversations about Nourishment and Coercion in the COVID-Era Academy

This article introduces the feminist praxis of duoethnography as a way to examine the COVID era. As a group of diverse, junior, midcareer, and senior feminist scholars, we developed a methodology to critically reflect on our positions in our institutions and social worlds. As a method, duoethnography emphasizes the dialogical intimacy that can form through anthropological work. While autoethnography draws on individual daily lives to make sense of sociopolitical dynamics, duoethnography emphasizes the relational character of research across people and practices. Taking the relational aspects of knowledge production seriously, we conceptualized this praxis as a transformative method for facilitating radical empathy, mobilizing our collective voice, and merging together our partial truths. As collective authors, interviewers, and interlocutors of this article, the anonymity of duoethnography allows us to vocalize details of the experience of living through COVID19 that we could not have safely spoken about publicly or on our ow

An open toolkit for tracking open science partnership implementation and impact.

Serious concerns about the way research is organized collectively are increasingly being raised. They include the escalating costs of research and lower research productivity, low public trust in researchers to report the truth, lack of diversity, poor community engagement, ethical concerns over research practices, and irreproducibility. Open science (OS) collaborations comprise of a set of practices including open access publication, open data sharing and the absence of restrictive intellectual property rights with which institutions, firms, governments and communities are experimenting in order to overcome these concerns. We gathered two groups of international representatives from a large variety of stakeholders to construct a toolkit to guide and facilitate data collection about OS and non-OS collaborations. Ultimately, the toolkit will be used to assess and study the impact of OS collaborations on research and innovation. The toolkit contains the following four elements: 1) an annual report form of quantitative data to be completed by OS partnership administrators; 2) a series of semi-structured interview guides of stakeholders; 3) a survey form of participants in OS collaborations; and 4) a set of other quantitative measures best collected by other organizations, such as research foundations and governmental or intergovernmental agencies. We opened our toolkit to community comment and input. We present the resulting toolkit for use by government and philanthropic grantors, institutions, researchers and community organizations with the aim of measuring the implementation and impact of OS partnership across these organizations. We invite these and other stakeholders to not only measure, but to share the resulting data so that social scientists and policy makers can analyse the data across projects

GA4GH: International policies and standards for data sharing across genomic research and healthcare.

The Global Alliance for Genomics and Health (GA4GH) aims to accelerate biomedical advances by enabling the responsible sharing of clinical and genomic data through both harmonized data aggregation and federated approaches. The decreasing cost of genomic sequencing (along with other genome-wide molecular assays) and increasing evidence of its clinical utility will soon drive the generation of sequence data from tens of millions of humans, with increasing levels of diversity. In this perspective, we present the GA4GH strategies for addressing the major challenges of this data revolution. We describe the GA4GH organization, which is fueled by the development efforts of eight Work Streams and informed by the needs of 24 Driver Projects and other key stakeholders. We present the GA4GH suite of secure, interoperable technical standards and policy frameworks and review the current status of standards, their relevance to key domains of research and clinical care, and future plans of GA4GH. Broad international participation in building, adopting, and deploying GA4GH standards and frameworks will catalyze an unprecedented effort in data sharing that will be critical to advancing genomic medicine and ensuring that all populations can access its benefits

Assessing the effects of negative reinforcement on parent integrity when implementing time out

Parent training, utilizing the principles of applied behavior analysis to teach effective parenting skills, is a widely used intervention to decrease child behavior problems. The extent to which these interventions are successful in improving behavior, and the degree to which the effects are maintained, relies heavily on the behavior of the parent after the completion of the training. Research suggests that parents\u27 ability to use the skills taught during training diminishes over time. One variable suggested to contribute to parent nonadherence is negative reinforcement. To further investigate, the current study first taught parents correct implementation of a time out procedure, then through a series of practice sessions, manipulated role-player behavior in an attempt to directly observe and measure the effects of negative reinforcement on parent integrity. However, due to lack of responding and contact with the contingency, the effects of negative reinforcement could not be assessed. The investigation did corroborate previous evidence on the effectiveness of the parent-training model used to teach participants the time out protocol. Several areas of future research are presented for parent training and collecting in-home naturalistic observations to assess parent and child behavior

Assessing the effects of negative reinforcement on parent integrity when implementing time out

Parent training, utilizing the principles of applied behavior analysis to teach effective parenting skills, is a widely used intervention to decrease child behavior problems. The extent to which these interventions are successful in improving behavior, and the degree to which the effects are maintained, relies heavily on the behavior of the parent after the completion of the training. Research suggests that parents\u27 ability to use the skills taught during training diminishes over time. One variable suggested to contribute to parent nonadherence is negative reinforcement. To further investigate, the current study first taught parents correct implementation of a time out procedure, then through a series of practice sessions, manipulated role-player behavior in an attempt to directly observe and measure the effects of negative reinforcement on parent integrity. However, due to lack of responding and contact with the contingency, the effects of negative reinforcement could not be assessed. The investigation did corroborate previous evidence on the effectiveness of the parent-training model used to teach participants the time out protocol. Several areas of future research are presented for parent training and collecting in-home naturalistic observations to assess parent and child behavior

Structured feedback training for timeout: Efficacy and efficiency in comparison to a didactic model

Although time-out has been demonstrated to be effective across multiple settings, little research exists on effective methods for training others to implement time-out. The present set of studies is an exploratory analysis of a structured feedback method for training time-out using repeated role-plays. The three studies examined (a) a between-subjects comparison to more a traditional didactic/video modeling method of time-out training, (b) a within-subjects comparison to traditional didactic/video modeling training for another skill, and (c) the impact of structured feedback training on in-home time-out implementation. Though findings are only preliminary and more research is needed, the structured feedback method appears across studies to be an efficient, effective method that demonstrates good maintenance of skill up to 3 months post training. Findings suggest, though do not confirm, a benefit of the structured feedback method over a more traditional didactic/video training model. Implications and further research on the method are discussed