Literature DB >> 17082981

Addiction treatment agencies' use of data: a qualitative assessment.

Jennifer P Wisdom1, James H Ford Ii, Randy A Hayes, Eldon Edmundson, Kim Hoffman, Dennis McCarty.   

Abstract

Addiction treatment agencies typically do not prioritize data collection, management, and analysis, and these agencies may have barriers to integrating data in agency quality improvement. This article describes qualitative findings from an intervention designed to teach 23 addiction treatment agencies how to make data-driven decisions to improve client access to and retention in care. Agencies demonstrated success adopting process improvement and data-driven strategies to make improvements in care. Barriers to adding a process improvement and data-driven focus to care included a lack of a data-based decision making culture, lack of expertise and other resources, treatment system complexity, and resistance. Factors related to the successful adoption of process-focused data include agency leadership valuing data and providing resources, staff training on data collection and use, sharing of change results, and success in making data-driven decisions.

Mesh:

Year:  2006        PMID: 17082981     DOI: 10.1007/s11414-006-9039-x

Source DB:  PubMed          Journal:  J Behav Health Serv Res        ISSN: 1094-3412            Impact factor:   1.505


  9 in total

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Review 3.  Evidence-based practices: setting the context and responding to concerns.

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9.  The Network for the Improvement of Addiction Treatment (NIATx): enhancing access and retention.

Authors:  Dennis McCarty; David H Gustafson; Jennifer P Wisdom; Jay Ford; Dongseok Choi; Todd Molfenter; Victor Capoccia; Frances Cotter
Journal:  Drug Alcohol Depend       Date:  2006-11-28       Impact factor: 4.492

  9 in total
  27 in total

1.  Substance abuse treatment programs' data management capacity: an exploratory study.

Authors:  Jennifer P Wisdom; James H Ford; Meg Wise; Deirdre Mackey; Carla A Green
Journal:  J Behav Health Serv Res       Date:  2011-04       Impact factor: 1.505

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Authors:  Raina Croff; Kim Hoffman; Kelly Alanis-Hirsch; Jay Ford; Dennis McCarty; Laura Schmidt
Journal:  J Behav Health Serv Res       Date:  2019-04       Impact factor: 1.505

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