ECHO-F Model to Expand Medication Assisted Treatment in Rural Primary Care
ECHO-F Model to Expand Medication Assisted Treatment in Rural Primary Care
批准号:
10221050
负责人:
Julie G. Salvador
金额:
$37.89万
依托单位国家:
美国
项目类别:
财政年份:
2017
资助国家:
美国
项目状态:
已结题
起止时间:
2017-08-01 至 2023-01-31
中文摘要
点击翻译按钮获取中文摘要
英文摘要
Project Summary
Opioids, primarily prescription pain relievers and heroin, are the main driver of overdose deaths. Opioids
were involved in 28,647 deaths in 2014 and opioid overdoses have quadrupled since 2000 (CDC, 2015). In
New Mexico, rates of OUDs are among the highest in the nation-- 28 of its 33 counties rank above the national
average in drug overdose death rates (NM DOH, 2016). The challenge of addressing OUDs in New Mexico is
exacerbated by devastating primary care shortages and the rural composition of the population with an
estimated 58% of NM’s primary care needs unmet (HRSA, 2016) and majority of NM counties (27/33)
designated as micropolitan, rural or frontier (Ingram, 2013). Medication-Assisted Treatment (MAT) is an
evidence-based and comprehensive approach to treating OUD using FDA approved medications combined
with psychosocial and community based services/supports. Despite its potential, it is vastly underutilized in
primary care. For rural areas, one of the main sources of health care is the primary care clinic. Efforts to
expand MAT have encountered persistent challenges.
The Extensions for Community Healthcare Outcomes ECHO© model provides a strong televideo-based
strategy for improving practices in primary care. It combines didactic and problem-based learning and has
been shown to be effective in improving treatment of Hepatitis C (Arora, 2011). The model has spread widely
across a range of health outcomes including behavioral health but little is known about its effectiveness in
these new arenas. In fact, a recent review of ECHO studies shows that very little has been published on the
model’s efficacy or implementation outcomes (Zhou, 2016). Existing research that documents provider
changes in knowledge, attitudes and self-efficacy indicates the model’s strong potential for improving practice
in behavioral health (Katzman et al., 2016). Therefore, a study that implements this potentially strong model
and includes a focus on implementation outcomes as well as feasibility for behavioral health is long overdue.
The present study will implement the ECHO model with a minimum of 80 rural primary care providers across
80 clinics, and include additional clinic staff for comprehensive MAT team training. It will track implementation
outcomes and feasibility measures with participating providers. In addition, this study will include added
support, as identified/needed, for any provider that does not reach implementation benchmarks within
expected timeframes. This combined approach is referred to as ECHO-F and reflects education models such
as competency-based learning (US Department of Education, 2016) that provides individualized support, when
needed, to help learners achieve desired learning/skills outcomes. Implementation benchmarks achieved via
ECHO alone and those that require additional support will be carefully documented to understand the relative
contribution of these components and describe possible areas for adaptation of the ECHO model.
Specific Aims:
1.Establish infrastructure for ECHO-F training, support and data collection
Assemble advisory board; finalize, training schedule and content; data collection instruments; protocols
2.Implement ECHO-F with rural primary care providers:
a. Identify & recruit primary care provider practices; minimum of 80 prescribers across 80 clinics with 160
additional clinic staff over 4 years of the study (target: 240 providers total)
b. Train in MAT via ECHO model; monitor implementation benchmarks; provide individual support as
needed/requested to accomplish benchmarks
3. Conduct a systematic assessment of implementation and feasibility factors:
a. Describe ECHO-F participation (participants; in televideo sessions & individualized supports provided)
b. inferential analysis of baseline data and ECHO-F participation related to accomplishment of
implementation benchmarks.
c. Final reports; adaptation of ECHO-F model; develop/submit multi-site effectiveness study of ECHO-F
This study will be supported within an exceptionally research strong, rurally focused, collaborative
environment. The Department of Psychiatry and Behavioral Sciences (DPBS) at the University of NM Health
Sciences Center is the largest academic health complex in the state. The study PI, Julie Salvador, PhD, with
DPBS has led many federally funded rural studies in rural NM, including a study of a model to improve
evidence-based practice implementation and successfully recruited over 300 providers in this study. The main
study partner is the Department of Family and Community Medicine (DFCM) and study co-investigator Andrew
Sussman, PhD, has led many primary care-based research projects statewide and is director of a practice
based research network in the state. The ECHO model was developed by Sanjeev Arora, MD at UNM who will
provide guidance in the model and who has directly trained the ECHO MAT expert in this study, Snehal Bhatt,
MD. William Miller, PhD, developer of Motivational Interviewing has trained study MI lead Jennifer Hettema,
PhD, directly. Michael Bogenschutz, MD, will provide research consultation and is nationally known for his
opioid use and substance use disorders research.
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ECHO-F Model to Expand Medication Assisted Treatment in Rural Primary Care
-
批准号:9980345
-
项目类别:
-
资助金额:$38.33万
-
财政年份:2017
-
负责人:Julie G. Salvador
-
依托单位:
国内基金
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