Literature DB >> 22193826

Improving substance abuse data systems to measure 'waiting time to treatment': lessons learned from a quality improvement initiative.

Kim A Hoffman1, Andrew Quanbeck, James H Ford, Fritz Wrede, Dagan Wright, Dawn Lambert-Wacey, Phil Chvojka, Andrew Hanchett, Dennis McCarty.   

Abstract

Robust data measurement systems assess health care performance and monitor population-level treatment trends. A key challenge in the assessment of substance abuse treatment is the development of systems to accurately monitor service delivery indicators. Wait time to treatment, as defined by the days between first request for service and first treatment, is an important measure of organizational process and delivery of care. The Network for the Improvement of Addiction Treatment emphasizes wait time as a primary outcome in their study of 201 addiction treatment agencies in the USA. This article describes the changes made in five state data systems to monitor wait times and outlines lessons learned that could be applied to other health data tracking systems.

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Year:  2011        PMID: 22193826      PMCID: PMC3472705          DOI: 10.1177/1460458211420090

Source DB:  PubMed          Journal:  Health Informatics J        ISSN: 1460-4582            Impact factor:   2.681


  20 in total

1.  Individual and system influences on waiting time for substance abuse treatment.

Authors:  Carey J A Carr; Jiangmin Xu; Cristina Redko; D Timothy Lane; Richard C Rapp; John Goris; Robert G Carlson
Journal:  J Subst Abuse Treat       Date:  2007-05-23

Review 2.  Evidence for the impact of quality improvement collaboratives: systematic review.

Authors:  Loes M T Schouten; Marlies E J L Hulscher; Jannes J E van Everdingen; Robbert Huijsman; Richard P T M Grol
Journal:  BMJ       Date:  2008-06-24

3.  The accelerated intake: a method for increasing initial attendance to outpatient cocaine treatment.

Authors:  D S Festinger; R J Lamb; K C Kirby; D B Marlowe
Journal:  J Appl Behav Anal       Date:  1996

4.  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

5.  Replication and sustainability of improved access and retention within the Network for the Improvement of Addiction Treatment.

Authors:  Kim A Hoffman; James H Ford; Dongseok Choi; David H Gustafson; Dennis McCarty
Journal:  Drug Alcohol Depend       Date:  2008-06-18       Impact factor: 4.492

6.  Initial motivations for alcohol treatment: relations with patient characteristics, treatment involvement, and dropout.

Authors:  R M Ryan; R W Plant; S O'Malley
Journal:  Addict Behav       Date:  1995 May-Jun       Impact factor: 3.913

7.  Increasing appointment keeping by reducing the call-appointment interval.

Authors:  J Benjamin-Bauman; M L Reiss; J S Bailey
Journal:  J Appl Behav Anal       Date:  1984

8.  Effects of readiness for drug abuse treatment on client retention and assessment of process.

Authors:  G W Joe; D D Simpson; K M Broome
Journal:  Addiction       Date:  1998-08       Impact factor: 6.526

9.  Pretreatment dropout as a function of treatment delay and client variables.

Authors:  D S Festinger; R J Lamb; M R Kountz; K C Kirby; D Marlowe
Journal:  Addict Behav       Date:  1995 Jan-Feb       Impact factor: 3.913

10.  Similarity of outcome predictors across opiate, cocaine, and alcohol treatments: role of treatment services.

Authors:  A T McLellan; A I Alterman; D S Metzger; G R Grissom; G E Woody; L Luborsky; C P O'Brien
Journal:  J Consult Clin Psychol       Date:  1994-12
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  6 in total

1.  Overcoming Barriers to Adopting and Implementing Pharmacotherapy: the Medication Research Partnership.

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

2.  Examining access to addiction treatment: scheduling processes and barriers.

Authors:  Andrew Quanbeck; Anna Wheelock; James H Ford; Alice Pulvermacher; Victor Capoccia; David Gustafson
Journal:  J Subst Abuse Treat       Date:  2012-09-27

3.  Integration of Substance Abuse Treatment Organizations into Accountable Care Organizations: Results from a National Survey.

Authors:  Thomas D'Aunno; Peter D Friedmann; Qixuan Chen; Donna M Wilson
Journal:  J Health Polit Policy Law       Date:  2015-06-29       Impact factor: 2.265

4.  Evaluating Fidelity to a Modified NIATx Process Improvement Strategy for Improving HIV Services in Correctional Facilities.

Authors:  Jennifer Pankow; Jennifer Willett; Yang Yang; Holly Swan; Richard Dembo; William M Burdon; Yvonne Patterson; Frank S Pearson; Steven Belenko; Linda K Frisman
Journal:  J Behav Health Serv Res       Date:  2018-04       Impact factor: 1.505

5.  Which elements of improvement collaboratives are most effective? A cluster-randomized trial.

Authors:  David H Gustafson; Andrew R Quanbeck; James M Robinson; James H Ford; Alice Pulvermacher; Michael T French; K John McConnell; Paul B Batalden; Kim A Hoffman; Dennis McCarty
Journal:  Addiction       Date:  2013-03-01       Impact factor: 6.526

6.  Identifying perceived barriers to monitoring service quality among substance abuse treatment providers in South Africa.

Authors:  Bronwyn Myers; Zainonisa Petersen; Rehana Kader; J Randy Koch; Ron Manderscheid; Rajen Govender; Charles D H Parry
Journal:  BMC Psychiatry       Date:  2014-02-05       Impact factor: 3.630

  6 in total

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