Implementing Telemedicine-Based Collaborative Care for MDD in Contract CBOCs
NCT ID: NCT00317018
Last Updated: 2014-04-28
Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
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WITHDRAWN
NA
INTERVENTIONAL
2008-05-31
2009-09-30
Brief Summary
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Detailed Description
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Goal 1 To adapt and apply implementation strategies developed for TIDES/RETIDES in order to deliver telemedicine-based collaborative care services in small contract CBOCs.
Goal 2: To evaluate the implementation of this evidence-based best-practice with respect to its clinical impact on the population of patients with MDD and the system of care. The corresponding specific aims are:
Specific Aim 1: Document and evaluate the process of implementing, refining, and sustaining telemedicine-based collaborative care at contract CBOCs.
Specific Aim 2: Estimate the clinical impact of telemedicine-based collaborative care at implementation sites relative to usual care at control sites.
Specific Aim 3: Estimate the system-level cost-effectiveness of telemedicine-based collaborative care at contract CBOCs.
Research Design and Study Setting: The study will be conducted in 26 contract CBOCs in VISN 16 and VISN 22. The analyses will be based on a pre-post quasi-experimental study design with a non-equivalent control group. The telemedicine-based collaborative care program will be implemented at 11 contract CBOCs without onsite psychiatrists and cost/outcomes will be compared to those at 15 similar control sites.
Data Collection and Analysis: Data will be collected from survey, key informant interviews, VISTA, and the Austin Automation Center. Descriptive statistics will be used to describe the degree of adoption (i.e., reach, effectiveness, adoption, implementation, and maintenance). The clinical impact on the patient population will be estimated using random effects models with individual patients as the unit of analysis. The impact on the system will be estimated using a Systems Cost Effectiveness Analysis.
Significance: Evaluating strategies for implementing telemedicine-based collaborative care in contract CBOCs should be a high priority for VA for several reasons. First, VA's Mental Health Strategic Plan includes plans for the rollout of collaborative care throughout the entire VA health care system. Second, the importance of providing mental health services in all CBOCs is highlighted by the recent introduction of a performance measure targeting mental health in CBOCs. Third, there are 183 contract CBOCs in the VA health care system, most of which have no on-site psychiatrists and are located in rural areas far from parent VAMCs. Fourth, the TEAM collaborative care model has been demonstrated to significantly and substantially improve depression outcomes in these small rural CBOCs. While the implementation of collaborative care in large VA-staffed clinics is an immensely challenging task, implementing collaborative care in small contract clinics is even more challenging. To prepare for national rollout, it is imperative that implementation strategies be developed and evaluated for these difficult settings in order to avoid the creation of a two-tiered system of care. National rollout strategies must target contract CBOCs to ensure access to collaborative care for all veterans and to prevent future health disparities. In addition, the results of the RIPPLE study will provide a template for the development of best-practice implementation strategies targeting other high priority QUERI disorders in contract CBOCs.
Conditions
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Study Design
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NON_RANDOMIZED
PARALLEL
TREATMENT
NONE
Study Groups
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Arm 1
Implementation Group
Evidence-Based Quality Improvement
The implementation intervention is known as Evidence-Based Quality Improvement (EBQI). EBQI is an adaptation of the Plan-Do-Study-Act cycles of Continuous Quality Improvement that emphasizes empirical evidence and the involvement of clinical and implementation experts (i.e., researchers). In the EBQI implementation intervention, both researchers (clinical and implementation experts) and local staff participate fully in the quality improvement process, with the researchers facilitating rather than dictating implementation efforts. Using EBQI methods, researchers and local staff adapt evidence-based practices for local resources, needs and preferences while maintaining fidelity to the evidence-base. PDSA cycles are used to continuously revise the adapted evidence-based practice based on feedback during pilot tests.
Arm 2
Control Group
No interventions assigned to this group
Interventions
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Evidence-Based Quality Improvement
The implementation intervention is known as Evidence-Based Quality Improvement (EBQI). EBQI is an adaptation of the Plan-Do-Study-Act cycles of Continuous Quality Improvement that emphasizes empirical evidence and the involvement of clinical and implementation experts (i.e., researchers). In the EBQI implementation intervention, both researchers (clinical and implementation experts) and local staff participate fully in the quality improvement process, with the researchers facilitating rather than dictating implementation efforts. Using EBQI methods, researchers and local staff adapt evidence-based practices for local resources, needs and preferences while maintaining fidelity to the evidence-base. PDSA cycles are used to continuously revise the adapted evidence-based practice based on feedback during pilot tests.
Eligibility Criteria
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Inclusion Criteria
* depression
* patient at Little Rock VAMC, Loma Linda VAMC, or Greater Los Angeles VAMC
Exclusion Criteria
* depression
* patient at Little Rock VAMC, Loma Linda VAMC, or Greater Los Angeles VAMC
ALL
No
Sponsors
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US Department of Veterans Affairs
FED
Responsible Party
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Principal Investigators
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John C. Fortney, PhD
Role: PRINCIPAL_INVESTIGATOR
Central Arkansas Veterans Healthcare System (North Little Rock)
Locations
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VA Medical Center, Loma Linda
Loma Linda, California, United States
VA Greater Los Angeles Healthcare System, West LA
West Los Angeles, California, United States
Countries
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References
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Fortney JC, Pyne JM, Smith JL, Curran GM, Otero JM, Enderle MA, McDougall S. Steps for implementing collaborative care programs for depression. Popul Health Manag. 2009 Apr;12(2):69-79. doi: 10.1089/pop.2008.0023.
Fortney JC, Enderle MA, Clothier JL, Otero JM, Williams JS, Pyne JM. Population level effectiveness of implementing collaborative care management for depression. Gen Hosp Psychiatry. 2013 Sep-Oct;35(5):455-60. doi: 10.1016/j.genhosppsych.2013.04.010. Epub 2013 May 30.
Fortney JC, Pyne JM, Steven CA, Williams JS, Hedrick RG, Lunsford AK, Raney WN, Ackerman BA, Ducker LO, Bonner LM, Smith JL. A Web-based clinical decision support system for depression care management. Am J Manag Care. 2010 Nov;16(11):849-54.
Fortney J, Enderle M, McDougall S, Clothier J, Otero J, Altman L, Curran G. Implementation outcomes of evidence-based quality improvement for depression in VA community based outpatient clinics. Implement Sci. 2012 Apr 11;7:30. doi: 10.1186/1748-5908-7-30.
Other Identifiers
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IMV 04-360
Identifier Type: -
Identifier Source: org_study_id
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