Dataset Information

Commitment, Collaboration, and Problem Resolution to Promote and Sustain Access to Multifaceted Applied Behavior-Analytic Services Utilizing Telepractice.

ABSTRACT: Access to clinically recommended applied behavior analysis (ABA) services has been significantly impacted for many consumers in light of the global COVID-19 pandemic. Local shelter-in-place orders and safety concerns have resulted in a movement toward telepractice models across educational and medically necessary ABA services, including at the level of the behavior technician. With this novel mode of technician-level intervention, practitioners have faced many learner, caregiver, and setting variables that have served as barriers to accessing telepractice intervention. Given the novelty of and limited empirical investigations on technician-level telepractice, solutions for common barriers are urgently needed. The current discussion article, therefore, describes the necessity of evaluating the efficacy of telepractice at the level of the technician, puts forth the position that telepractice should be considered a safeguard to accessing ABA intervention given evolving crises such as the pandemic, and provides a detailed description of employed training models and materials, problem-resolution strategies aimed at overcoming specific barriers, and initial outcomes across educational and medically necessary intervention models with the intent to support practitioners in identifying and overcoming barriers such that consumers can access needed intervention.

Supplementary information

The online version contains supplementary material available at 10.1007/s40617-020-00550-8.

SUBMITTER: Frederick JK

PROVIDER: S-EPMC8048347 | biostudies-literature |

REPOSITORIES: biostudies-literature

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Project description:The main funding instrument for implementing EU policies on nature conservation and supporting environmental and climate action is the LIFE Nature programme, established by the European Commission in 1992. LIFE Nature projects (>1400 awarded) are applied conservation projects in which partnerships between institutions are critical for successful conservation outcomes, yet little is known about the structure of collaborative networks within and between EU countries. The aim of our study is to understand the nature of collaboration in LIFE Nature projects using a novel application of social network theory at two levels: (1) collaboration between countries, and (2) collaboration within countries using six case studies: Western Europe (United Kingdom and Netherlands), Eastern Europe (Romania and Latvia) and Southern Europe (Greece and Portugal). Using data on 1261 projects financed between 1996 and 2013, we found that Italy was the most successful country not only in terms of awarded number of projects, but also in terms of overall influence being by far the most influent country in the European LIFE Nature network, having the highest eigenvector (0.989) and degree centrality (0.177). Another key player in the network is Netherlands, which ensures a fast communication flow with other network members (closeness-0.318) by staying connected with the most active countries. Although Western European countries have higher centrality scores than most of the Eastern European countries, our results showed that overall there is a lower tendency to create partnerships between different organization categories. Also, the comparisons of the six case studies indicates significant differences in regards to the pattern of creating partnerships, providing valuable information on collaboration on EU nature conservation. This study represents a starting point in predicting the formation of future partnerships within LIFE Nature programme, suggesting ways to improve transnational cooperation and communication.

Project description:BackgroundPrimary care staffing decisions are often made unsystematically, potentially leading to increased costs, dissatisfaction, turnover, and reduced quality of care. This article aims to (1) catalogue the domain of primary care tasks, (2) explore the complexity associated with these tasks, and (3) examine how tasks performed by different job titles differ in function and complexity, using Functional Job Analysis to develop a new tool for making evidence-based staffing decisions.MethodsSeventy-seven primary care personnel from six US Department of Veterans Affairs (VA) Medical Centers, representing six job titles, participated in two-day focus groups to generate 243 unique task statements describing the content of VA primary care. Certified job analysts rated tasks on ten dimensions representing task complexity, skills, autonomy, and error consequence. Two hundred and twenty-four primary care personnel from the same clinics then completed a survey indicating whether they performed each task. Tasks were catalogued using an adaptation of an existing classification scheme; complexity differences were tested via analysis of variance.ResultsObjective one: Task statements were categorized into four functions: service delivery (65%), administrative duties (15%), logistic support (9%), and workforce management (11%). Objective two: Consistent with expectations, 80% of tasks received ratings at or below the mid-scale value on all ten scales. Objective three: Service delivery and workforce management tasks received higher ratings on eight of ten scales (multiple functional complexity dimensions, autonomy, human error consequence) than administrative and logistic support tasks. Similarly, tasks performed by more highly trained job titles received higher ratings on six of ten scales than tasks performed by lower trained job titles. Contrary to expectations, the distribution of tasks across functions did not significantly vary by job title.ConclusionPrimary care personnel are not being utilized to the extent of their training; most personnel perform many tasks that could reasonably be performed by personnel with less training. Primary care clinics should use evidence-based information to optimize job-person fit, adjusting clinic staff mix and allocation of work across staff to enhance efficiency and effectiveness.

Dataset Information

Commitment, Collaboration, and Problem Resolution to Promote and Sustain Access to Multifaceted Applied Behavior-Analytic Services Utilizing Telepractice.

Supplementary information

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