Advancing the state-level tracking of evidence-based practices: a case study.
Children’s mental health
Common elements
Evidence-based policymaking
Evidence-based practice
Implementation
Learning system
State policy
Journal
International journal of mental health systems
ISSN: 1752-4458
Titre abrégé: Int J Ment Health Syst
Pays: England
ID NLM: 101294224
Informations de publication
Date de publication:
2019
2019
Historique:
received:
22
01
2019
accepted:
25
03
2019
entrez:
23
4
2019
pubmed:
23
4
2019
medline:
23
4
2019
Statut:
epublish
Résumé
Despite a sustained focus by policymakers and researchers on improving the standard of clinical care in public mental health services, the use of evidence-based practice remains low. Among other challenges, this reflects the difficulty of translating clinical research into useable policy that can be feasibly funded and monitored by state or large healthcare systems. In this paper we present a case study of Washington State's strategy for monitoring the use of clinical elements at the session level for all Medicaid-funded children's mental health services. The implementation of this strategy reflects policy actions to promote effective practice while also actively influencing multiple other levels of the implementation ecology. The approach is informed by the Policy Ecology Framework, the Consolidated Framework for Implementation Research, the evidence-based policymaking literature, and common ontology and clinical elements models. We found the strategy developed in Washington State to be a feasible method of collecting session level information about the use of effective clinical mental health practices. In addition, the approach appears to be having influence on multiple layers of the implementation ecology that could be explored through further study.
Sections du résumé
BACKGROUND
BACKGROUND
Despite a sustained focus by policymakers and researchers on improving the standard of clinical care in public mental health services, the use of evidence-based practice remains low. Among other challenges, this reflects the difficulty of translating clinical research into useable policy that can be feasibly funded and monitored by state or large healthcare systems.
CASE PRESENTATION
METHODS
In this paper we present a case study of Washington State's strategy for monitoring the use of clinical elements at the session level for all Medicaid-funded children's mental health services. The implementation of this strategy reflects policy actions to promote effective practice while also actively influencing multiple other levels of the implementation ecology. The approach is informed by the Policy Ecology Framework, the Consolidated Framework for Implementation Research, the evidence-based policymaking literature, and common ontology and clinical elements models.
CONCLUSIONS
CONCLUSIONS
We found the strategy developed in Washington State to be a feasible method of collecting session level information about the use of effective clinical mental health practices. In addition, the approach appears to be having influence on multiple layers of the implementation ecology that could be explored through further study.
Identifiants
pubmed: 31007712
doi: 10.1186/s13033-019-0280-0
pii: 280
pmc: PMC6457070
doi:
Types de publication
Journal Article
Langues
eng
Pagination
25Déclaration de conflit d'intérêts
The authors declare that they have no competing interests.
Références
Arch Gen Psychiatry. 2003 Aug;60(8):837-44
pubmed: 12912767
Ment Health Serv Res. 2005 Mar;7(1):5-20
pubmed: 15832690
Am J Community Psychol. 2008 Jun;41(3-4):171-81
pubmed: 18302018
Implement Sci. 2008 May 16;3:26
pubmed: 18485219
BJOG. 2009 Jul;116(8):1028-32
pubmed: 19438497
J Consult Clin Psychol. 2009 Jun;77(3):566-79
pubmed: 19485596
Implement Sci. 2009 Aug 07;4:50
pubmed: 19664226
Am Psychol. 2010 Feb-Mar;65(2):73-84
pubmed: 20141263
Am Psychol. 2010 Feb-Mar;65(2):85-97
pubmed: 20141264
Clin Psychol Rev. 2010 Jun;30(4):448-66
pubmed: 20304542
Adm Policy Ment Health. 2011 Jul;38(4):287-300
pubmed: 21499945
Arch Gen Psychiatry. 2012 Mar;69(3):274-82
pubmed: 22065252
Am J Community Psychol. 2012 Dec;50(3-4):386-401
pubmed: 22441729
Psychiatr Serv. 2012 Jul;63(7):660-5
pubmed: 22549401
Clin Psychol (New York). 2011 Dec 1;18(4):331-341
pubmed: 22563149
Am J Prev Med. 2012 Sep;43(3):337-50
pubmed: 22898128
Cochrane Database Syst Rev. 2012 Oct 17;10:CD004398
pubmed: 23076904
Prev Sci. 2013 Aug;14(4):319-51
pubmed: 23430579
Implement Sci. 2013 Aug 01;8:82
pubmed: 23902798
Adm Policy Ment Health. 2014 Nov;41(6):788-99
pubmed: 24202067
J Clin Child Adolesc Psychol. 2014;43(2):145-57
pubmed: 24460518
J Behav Health Serv Res. 2016 Apr;43(2):246-61
pubmed: 25081231
Health Serv Res. 2015 Aug;50(4):1125-45
pubmed: 25532616
Adm Policy Ment Health. 2016 Jan;43(1):67-78
pubmed: 25578511
JAMA Pediatr. 2015 Apr;169(4):374-82
pubmed: 25686473
Adm Policy Ment Health. 2017 Jan;44(1):42-54
pubmed: 25894313
Adm Policy Ment Health. 2017 Jan;44(1):29-41
pubmed: 26036754
Eval Program Plann. 2015 Oct;52:189-97
pubmed: 26141970
Implement Sci. 2015 Aug 13;10:115
pubmed: 26268633
Psychiatr Serv. 2016 May 1;67(5):496-503
pubmed: 26695495
Adm Policy Ment Health. 2016 Nov;43(6):1009-1022
pubmed: 27020796
Adm Policy Ment Health. 2016 Nov;43(6):909-926
pubmed: 27032411
Int J Health Policy Manag. 2016 Jan 28;5(4):221-3
pubmed: 27239867
J Behav Med. 2017 Feb;40(1):6-22
pubmed: 27481101
Adm Policy Ment Health. 2016 Nov;43(6):825-833
pubmed: 27591772
Implement Sci. 2016 Sep 22;11(1):128
pubmed: 27659426
J Consult Clin Psychol. 2017 Jul;85(7):664-675
pubmed: 28471210
Am Psychol. 1977 Sep;32(9):752-60
pubmed: 921048