Systematic review of approaches to use of neighborhood-level risk factors with clinical data to predict clinical risk and recommend interventions.

Background: Despite a large body of literature investigating how the environment influences health outcomes, most published work to date includes only a limited subset of the rich clinical and environmental data that is available and does not address how these data might best be used to predict clinical risk or expected impact of clinical interventions.

Objective: Identify existing approaches to inclusion of a broad set of neighborhood-level risk factors with clinical data to predict clinical risk and recommend interventions.

Methods: A systematic review of scientific literature published and indexed in PubMed, Web of Science, Association of Computing Machinery (ACM) and SCOPUS from 2010 through October 2020 was performed.

An organizational cybernetics framework for achieving balance in evidence-based practice and practice-based evidence.

This article applies the systems science of organizational cybernetics to the implementation of evidence-based practice (EBP) in the provision of social work services in a residential treatment center setting. It does so by systemically balancing EBP with practice-based evidence (PBE) with a focus on the organizational and information system infrastructures necessary to ensure successful implementation. This application is illustrated by discussing a residential treatment program that implemented evidence-based programming and evaluated the results; however, the systemic principles articulated can be applied to any human services organizational setting.

Using agency data for evidence-based programming: a university-agency collaboration.

Agencies providing residential treatment are encouraged, or even mandated, to collect outcomes data and to implement evidence based practices, yet little guidance has been provided on how to do so using agency administrative data that are collected on an ongoing basis. We examined data on Child and Adolescent Functional Assessment Scale (CAFAS) scores for 1608 admissions to a residential treatment center from 2002 through 2008. CAFAS scores were measured every 90 days, providing multiple CAFAS scores for each individual.

Client-controlled case information: a general system theory perspective.

The author proposes a model for client control of case information via the World Wide Web built on principles of general system theory. It incorporates the client into the design, resulting in an information structure that differs from traditional human services information-sharing practices. Referencing general system theory, the concepts of controller and controlled system, as well as entropy and negentropy, are applied to the information flow and autopoietic behavior as they relate to the boundary-maintaining functions of today's organizations.