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The most common reasons Veterans seek VA addiction and mental health care is for help with opioid and alcohol misuse, depression and PTSD. Research evidence has established highly effective treatments that prevent relapse, overdose and suicide, but even with policy mandates, performance metrics, and electronic health records to fix the problem, these treatments may only reach 3-28% of patients. This study tests participatory business engineering methods (Participatory System Dynamics) that engage patients, providers and policy makers against the status quo approaches, such as data review, and will determine if participatory system dynamics works, why it works, and whether it can be applied in many health care settings to guarantee patient access to the highest quality care and better meet the addiction and mental health needs of Veterans and the U.S. population.
The broad aim is to empower all healthcare stakeholders to provide the highest quality care to all patients. The specific aims address the complexities and tradeoffs associated with implementing evidence-based practices (EBPs) in outpatient addiction and mental health systems. There is scientific consensus about the best evidence-based psychotherapies and pharmacotherapies (EBPs) to meet the needs of patients with opioid and alcohol use disorder, PTSD and depression. However, EBP coordination over time, within and across multidisciplinary teams of providers, is complex and constantly changing. Veterans Health Administration (VA) policy mandates, national training programs, and incentivized quality measures, have been insufficient for reaching more than 3 to 28% of patients with the highest quality treatments. In fact, limited EBP reach is common in health systems and the field of implementation science seeks to address it. One routine strategy is data auditing with provider feedback (audit-and-feedback; AF), however, the impact is highly variable. As an alternative, participatory system dynamics (PSD) has been used to explain causes of complex problems in business management for 60 years. Partnering with frontline staff using PSD to determine how EBP reach emerges from local resources and constraints, and is determined by system dynamics, such as delays and feedback. The dynamics of EBP reach were formally specified in differential equation models, and tested against VA data drawn from a national VA SQL database. Using existing enterprise data to tailor model parameters to each care team. PSD models were made accessible via a 'Modeling to Learn' interface and training, during which teams safely evaluated local change scenarios via simulation to find the highest yield options for meeting Veterans' needs. PSD learning simulations produce immediate, real-time feedback to the teams who coordinate care, improving day-to-day decisions and long-term improvement plans. The study design is a two-arm, 24-site (12 sites/arm) cluster randomized trial to test the effectiveness of PSD simulation as compared to more standard team AF data review. The hypothesis is that PSD will be superior to AF for improving EBP initiation and dose (Aim 1). The investigators will test the PSD theory of change that the effect of PSD on improved EBP reach is explained by improvement in team systems thinking (Aim 2). To confirm the potential for widespread usefulness of PSD, by also testing the generalizability of PSD causal dynamics across PSD and AF arms (Aim 3). This study has the potential to inform a new paradigm, by determining what works to improve health system quality defined as EBP reach, why it works, and under what conditions. If PSD is effective, study activities will address a national priority to improve Veterans' addiction and mental health care to prevent chronic symptoms, relapse, suicide and overdose. Findings from the proposed tests of effectiveness, causality, and generality, could also catalyze future applications to make a significant public health impact across the continuum of healthcare.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Participatory System Dynamics (PSD) | Experimental | 12 clinics assigned to PSD |
|
| Audit and Feedback (AF) | Experimental | 12 clinics assigned to AF |
|
| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| Participatory System Dynamics (PSD) | Other | Participatory system dynamics is a facilitated health care quality improvement or evidence-based practice implementation strategy that includes frontline addiction and mental health staff running simulations of clinic improvement strategies to find the best approaches for improving the reach of evidence-based psychotherapy and evidence-based pharmacotherapy. |
| Measure | Description | Time Frame |
|---|---|---|
| Proportion of patients diagnosed with alcohol use disorder, depression, opioid use disorder, or PTSD who meet evidence-based psychotherapy and pharmacotherapy initiation and course measures divided by total number of patients with these diagnoses | Initiation of an evidence-based practice is indicated by an evidence-based psychotherapy template or evidence-based pharmacotherapy prescription after intake. Adequate course is based on receiving an adequate number of evidence-based psychotherapy sessions to be a "completer" (typically 8 sessions) or enough refills for a guideline-recommended adequate trial of each medication (varies by medication). Data is gathered based on electronic health record data from the VA Corporate Data Warehouse (CDW). | Pre-/Post- 12-month period average of evidence-based practice reach (24 months total observation) |
| Proportion of completed evidence-based practice templates during sessions with a relevant CPT code | We will study 5 evidence-based psychotherapies: 3 for depression (Cognitive Behavior Therapy (CBT-D), Acceptance and Commitment Therapy (ACT), and Interpersonal Psychotherapy (IPT)) and 2 for PTSD (Prolonged Exposure (PE) and Cognitive Processing Therapy (CPT)). Data is gathered based on electronic health record data from the Corporate Data Warehouse (CDW). | Pre-/Post- 12-month period average of evidence-based practice reach (24 months total observation) |
| Proportion of combination of prescriptions placed with the VA pharmacy and sessions with a relevant CPT code | We will study 8 evidence-based pharmacotherapies: 2 for depression (84 and 180 days therapeutic continuity at new antidepressant start), 2 for Opioid Use Disorder (OUD) (methadone and buprenorphine), and 4 for Alcohol Use Disorder (AUD) (Acamprosate, Disulfiram, Naltrexone, and Topiramate). Data is gathered based on electronic health record data from the Corporate Data Warehouse (CDW). | Pre-/Post- 12-month period average of evidence-based practice reach (24 months total observation) |
| Measure | Description | Time Frame |
|---|---|---|
| Degree of acceptability of intervention assessed by the Acceptability of Intervention Measure (AIM) [followed by its scale information in the Description] | Assesses degree of differences in team perceptions of PSD and AF on a survey with 4 items. Scale: 1-5, in 1 point increments (1 = completely disagree, 2 = disagree, 3 = neither agree nor disagree, 4 = agree, 5 = completely agree) | At 6 months |
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Inclusion Criteria Clinics:
Exclusion Criteria Clinics:
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| Name | Affiliation | Role |
|---|---|---|
| Lindsey E Zimmerman, PhD | National Center for PTSD, Dissemination & Training Division | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| VA Palo Alto Health Care System | Palo Alto | California | 94304 | United States |
| PubMed Identifier | Type | Citation | Retractions |
|---|---|---|---|
| 23475498 | Background | Elbogen EB, Wagner HR, Johnson SC, Kinneer P, Kang H, Vasterling JJ, Timko C, Beckham JC. Are Iraq and Afghanistan veterans using mental health services? New data from a national random-sample survey. Psychiatr Serv. 2013 Feb 1;64(2):134-41. doi: 10.1176/appi.ps.004792011. | |
| 24733559 | Background | Hermes ED, Hoff R, Rosenheck RA. Sources of the increasing number of Vietnam era veterans with a diagnosis of PTSD using VHA services. Psychiatr Serv. 2014 Jun 1;65(6):830-2. doi: 10.1176/appi.ps.201300232. |
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| Type | Includes Protocol | Includes SAP | Includes ICF | Document Label | Document Date | Document Uploaded Date | Document File Name |
|---|---|---|---|---|---|---|---|
| Prot_SAP | Yes | Yes | No | Study Protocol and Statistical Analysis Plan | Nov 5, 2021 |
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Participatory System Dynamics: Participatory system dynamics is a facilitated health care quality improvement or evidence-based practice implementation strategy that includes frontline addiction and mental health staff running simulations of clinic improvement strategies to find the best approaches for improving the reach of evidence-based psychotherapy and evidence-based pharmacotherapy.
Audit and Feedback: Audit and feedback is a health care quality improvement or evidence-based practice implementation strategy that includes frontline addiction and mental health staff reviewing data to find the best approaches for improving the reach of evidence-based psychotherapy and evidence-based pharmacotherapy.
Anticipate that 720 frontline providers will participate across both arms of this trial. There will be no interaction with current patients for the purposes of research. No new data will be collected beyond data generated during routine care.
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|
| Audit and Feedback (AF) | Other | Audit and feedback is a health care quality improvement or evidence-based practice implementation strategy that includes frontline addiction and mental health staff reviewing clinical care team data to find the best approaches for improving the reach of evidence-based psychotherapy and evidence-based pharmacotherapy. |
|
| Degree of appropriateness of intervention assessed by the Intervention Appropriateness Measure (IAM) [followed by its scale information in the Description] | Assesses degree of for differences in team perceptions of PSD and AF on a survey with 4 items. Scale: 1-5, in 1 point increments (1 = completely disagree, 2 = disagree, 3 = neither agree nor disagree, 4 = agree, 5 = completely agree) | At 6 months |
| Degree of feasibility of intervention assessed by the Feasibility of Intervention Measure (FIM) [followed by its scale information in the Description] | Assesses degree of differences in team perceptions of PSD and AF on a survey with 4 items. Scale: 1-5, in 1 point increments (1 = completely disagree, 2 = disagree, 3 = neither agree nor disagree, 4 = agree, 5 = completely agree) | At 6 months |
| Patient Aligned Care team Burnout Measure (PACT) [followed by its scale information in the Description] | Quality of work satisfaction and burnout in a 4-item descriptive survey with measures from VA team-based primary care that tracks 1) years of experience with the team, 2) working on more than one team, 3) turnover/change in team staff, 4) team overwork, and the single-item 5) self-reported burnout (sensitivity 83.2% and specificity 87.4%) (Question 1) Answered in # of years (Question 2-3) Yes or No (Question 4-5) Scale: 1-5, in 1 point increments (1 = Never, 2 = Rarely, 3 = Sometimes, 4 = Very Often, 5 = Always) | At baseline and 6 months |
| Learning Organization Survey (LOS-27) [followed by its scale information in the Description] | Psychological safety in the workplace using a 27-item survey developed out of the learning organization tradition and demonstrated to have good psychometric properties during VA validation which assesses 7 clinic context factors: a) supportive learning environment (including psychological safety), b) leadership that reinforces learning, c) experimentation, d) training, e) knowledge acquisition, f) time for reflection, and g) performance monitoring (Questions 1-23) Scale: 0-4, in 1 point increments (0 = Never, 4 = Always) (Questions 24-27) Scale: 0 to 7, in 1 point increments (0 = Highly Inaccurate, 7 = Highly Accurate) | At baseline and 6 months |
| Team Decision Making Questionnaire (TDMQ) [followed by its scale information in the Description] | Team dynamics in the workplace using a four factor scale survey validated to assess the impact of a team intervention on team decision-making, support learning and development of quality services Scale: 1-7, in 1 point increments incl N/A (N/A = Not Applicable, 1 = Not at all, 2 = To a very small extent, 3 = To a small extent, 4 = To a moderate extent, 5 = To a great extent, 6 = To a very great extent, 7 = To a vast extent) | At 6 months |
| Systems Thinking Scale (STS) [followed by its scale information in the Description] | Use of systems thinking in the work place and the ability to recognize, understand, and synthesize interactions and interdependencies, including how actions and components can reinforce or counteract each other. Scale: 1-5, in 1 point increments (1 = Never, 2 = Seldom, 3 = Some of the time, 4 = Often, 5 = Most of the time) | At baseline and 6 months |
| Systems Thinking Codebook and Session Observations [followed by its scale information in the Description] | Observation of systems thinking in language/explanations, and performance demonstrating system thinking skills (competence) measured on four constructs: Complex, Feedback, Behavior, Time Scale: Level 1-4 in 1 point increments (1 = Construct is demonstrated at most simple level, 4 = Construct is fully demonstrated at most complex level) | Over 6 months |
| Facilitator Fidelity to Intervention Guides and Theory of Change | Review fidelity with qualitative checks against AF/PSD facilitator scripts for session learning objectives, 'key idea' and 'definitions,' including tracking the proportion of AF/PSD session activities (in minutes) on these components. | Over 6 months |
| Demographic Measures | 4 item measure assessing ethnic (Hispanic, Latino, Latina, or Latinx), racial (American Indian/Alaska Native, Asian, Native Hawaiian or Other Pacific Islander, Black or African American, White, More than One Race) and gender (Man, Woman, Non-binary) identity of respondent. All items include a "Prefer not to say" option. Categories for demographic measures determined based on NIH reporting standards. | At baseline and 6 months |
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| Jun 5, 2023 |
| Prot_SAP_001.pdf |
| ID | Term |
|---|---|
| D013313 | Stress Disorders, Post-Traumatic |
| D003863 | Depression |
| D000437 | Alcoholism |
| D009293 | Opioid-Related Disorders |
| D016739 | Behavior, Addictive |
| D000092862 | Psychological Well-Being |
| ID | Term |
|---|---|
| D040921 | Stress Disorders, Traumatic |
| D000068099 | Trauma and Stressor Related Disorders |
| D001523 | Mental Disorders |
| D001526 | Behavioral Symptoms |
| D001519 | Behavior |
| D019973 | Alcohol-Related Disorders |
| D019966 | Substance-Related Disorders |
| D064419 | Chemically-Induced Disorders |
| D000079524 | Narcotic-Related Disorders |
| D003192 | Compulsive Behavior |
| D007175 | Impulsive Behavior |
| D010549 | Personal Satisfaction |
Not provided
Not provided