High-Risk Veteran Initiative (RIVET)

September 6, 2023 updated by: VA Office of Research and Development

Improving Care for Complex, High-Risk Patients in Primary Care (QUE 20-018)

Veterans at high-risk for hospitalization, including those with complex care needs, represent a large population of VHA patients who often do not receive evidence-based primary care practices that would help them avoid the hospital and improve their health. The high-RIsk VETerans (RIVET) Program will implement evidence-based practices that can support VHA Primary Care teams to deliver more comprehensive and patient-centered care, better strategies to manage medications, and avoid unnecessary hospitalizations. The RIVET Program is designed to find the most effective approaches to increasing use of evidence-based practices for high-risk Veterans in primary care, provide rapid data feedback to VHA on high-risk patient care, build capacity for the implementation of evidence-based practices, and train future leaders in high-risk Veteran care.

Study Overview

Status

Recruiting

Conditions

Intervention / Treatment

Detailed Description

The top 5% of Veterans at the highest risk for hospitalizations account for almost 50% of VHA healthcare costs, have significant multimorbidity, and are also at high risk for poor health outcomes. In the VHA, most (88%) high-risk patients are managed by general primary care teams (i.e., Patient-Aligned Care Teams; PACTs). Few PACTs, however, have implemented evidence-based practices (EBPs) known to address the most common issues among high-risk Veterans. Some evidence indicates that usual implementation strategies, such as dissemination of toolkits and training are not effective for improving uptake of EBPs. The most effective implementation strategies to achieve evidence-based care for high-risk patients, however, are unknown.

The overall impact goal of the high-RIsk VETerans (RIVET) QUERI Program is to improve VHA primary care capacity to provide comprehensive, evidence-based care for complex, high-risk Veterans. The investigators will test 2 implementation strategies to evaluate their impact on the uptake of two separate EBPs. These EPBs are 1) Comprehensive Assessment and Care Planning (CACP), and 2) Phone-Based Health Coaching for Medication Adherence (HCMA). CACP is based on the Comprehensive Geriatric Assessment and guides teams in systematically addressing patients' cognitive, functional, and social needs through a comprehensive care plan. HCMA addresses common challenges to medication adherence using a patient-centered approach through virtual encounters. Both comprehensive assessments and health coaching have demonstrated efficacy in randomized, controlled trials and have been implemented by two of the national partners in geriatrics and Whole Health teams. However, both EBPs have had low uptake in primary care. Implementing these practices in primary care has the potential to improve quality of care for the large majority of high-risk Veterans. The investigators will conduct a mixed methods type 3 hybrid effectiveness-implementation design to test the effectiveness of EBQI-IC and EBQI-LC versus usual care (national tool dissemination and training efforts) in at least 16 sites in multiple VISNs using a Concurrent Stepped Wedge design (Aim 2). The primary outcome is proportion of eligible high-risk patients that receive each EBP. The investigators will use the Practical, Robust Implementation and Sustainability Model (PRISM) framework to compare and evaluate Reach, Effectiveness, Adoption, Implementation, and costs. The investigators will then assess the Maintenance/sustainment and spread of both EBPs in primary care across all sites after the active 18-month implementation period (Aim 3).

Study Type

Interventional

Enrollment (Estimated)

16

Phase

  • Not Applicable

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Contact

Study Contact Backup

Study Locations

    • California
      • Sepulveda, California, United States, 91343
        • Recruiting
        • VA Greater Los Angeles Healthcare System, Sepulveda, CA
        • Contact:
        • Principal Investigator:
          • Evelyn T Chang, MD MSHS
        • Principal Investigator:
          • Susan E Stockdale, PhD MA
    • Pennsylvania
      • Pittsburgh, Pennsylvania, United States, 15240
        • Active, not recruiting
        • VA Pittsburgh Healthcare System University Drive Division, Pittsburgh, PA
    • Washington
      • Seattle, Washington, United States, 98108-1532
        • Active, not recruiting
        • VA Puget Sound Health Care System Seattle Division, Seattle, WA

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

  • Adult
  • Older Adult

Accepts Healthy Volunteers

No

Description

Inclusion Criteria:

Any VA site nationwide

Exclusion Criteria:

Not a VA site nationwide

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

  • Primary Purpose: Health Services Research
  • Allocation: Randomized
  • Interventional Model: Parallel Assignment
  • Masking: None (Open Label)

Arms and Interventions

Participant Group / Arm
Intervention / Treatment
Active Comparator: CACP-EBQI-IC
Individual (ongoing) consultation (IC), often described as coaching or supervision, is endorsed by implementation experts as an effective implementation strategy for EBP #1, Comprehensive Assessment and Care Planning (CACP) for High-Risk Veterans.
Individual (ongoing) consultation (IC), often described as coaching or supervision, is endorsed by implementation experts as an effective implementation strategy
Other Names:
  • Individual Consultation
Active Comparator: CACP-EBQI-LC
Learning collaboratives (LC) are widely used in healthcare settings, as an effective implementation strategy. The LC will be used to increase uptake of EBP #1, Comprehensive Assessment and Care Planning (CACP) for High-Risk Veterans.
A Learning Collaborative is a systematic approach to process improvement based on the Institute for Healthcare Improvement Breakthrough Series Collaborative model. During the Collaborative, organizations will test and implement system changes and measure their impact. They will share their experiences to accelerate learning and broader implementation of best practices.
Other Names:
  • Learning Collaborative
Active Comparator: HCMA-EBQI-IC
Individual (ongoing) consultation (IC), often described as coaching or supervision, is endorsed by implementation experts as an effective implementation strategy for EBP # 2,Phone-Based Health Coaching for Medication Adherence (HCMA).
Individual (ongoing) consultation (IC), often described as coaching or supervision, is endorsed by implementation experts as an effective implementation strategy
Other Names:
  • Individual Consultation
Active Comparator: HCMA-EBQI-LC
Learning collaboratives (LC) are widely used in healthcare settings, as an effective implementation strategy. The LC will be used to increase uptake of EBP # 2,Phone-Based Health Coaching for Medication Adherence (HCMA).
A Learning Collaborative is a systematic approach to process improvement based on the Institute for Healthcare Improvement Breakthrough Series Collaborative model. During the Collaborative, organizations will test and implement system changes and measure their impact. They will share their experiences to accelerate learning and broader implementation of best practices.
Other Names:
  • Learning Collaborative

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Change in the proportion of team-assigned primary care patients in the upper 90th percentile of acute hospitalization risk (identified via VA CAN score) who received the Evidence Based Practice (EBP)
Time Frame: 18
This primary outcome aims to measure reach of the evidence practices to implement the EBP.
18

Secondary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Number of PACT encounters from social worker, pharmacist, nurse and integrated mental health
Time Frame: 18 months
This secondary outcome will measure the impact of EBPs on the proximal care process.
18 months
Number of encounters from PACT pharmacist, social worker, nurse and integrated mental health
Time Frame: 18 months
This secondary outcome will measure the impact of EBPs on the proximal care process.
18 months
Providers Discuss Medication Decisions (Patient Survey)
Time Frame: 18 months
This secondary outcome will measure patient impacts of due to EBPs.
18 months
Self-Management Support (Patient Survey)
Time Frame: 18 months
This secondary outcome will measure patient impacts of due to EBPs.
18 months
Total number of ambulatory care-sensitive and acute hospitalizations
Time Frame: 18 months
This secondary outcome will measure clinical quality due to EBPs.
18 months
Total number of ambulatory care-sensitive and and emergency department visits
Time Frame: 18 months
This secondary outcome will measure clinical quality due to EBPs.
18 months
Adherence to chronic medications (diabetes, hypertension, hyperlipidemia, mental health) (VA Pharmacy Data)
Time Frame: The 18-month implementation period
This secondary outcome will measure clinical quality outcome of EBP#2(HCMA). Medications will be calculated via VA pharmacy fill data using Proportion of Days Covered (PDC).
The 18-month implementation period
Adoption of Evidence Based Practice (EBP)
Time Frame: 30-months
Proportion of staff trained on EBPs.
30-months
HEDIS measures for diabetes, hypertension, hyperlipidemia management
Time Frame: The 18-month implementation period
This secondary outcome will measure clinical quality outcome due to EBPs.
The 18-month implementation period
Fidelity
Time Frame: 18 months
The fidelity assessment tool draws from data collected from key stakeholder interviews , implementation facilitation logs , administrative documents, and weekly time diaries. The team will apply criteria to rate sites as high-, medium-, or low-fidelity on the EBQI elements.
18 months
Implementation costs
Time Frame: 18 months
Implementation Core staff time spent in various implementation activities
18 months
Comprehensiveness of Care questions from the RIVET Patient Survey- consisting of three items, which was sourced from the SHEP
Time Frame: 18 months
This secondary outcome will measure patient impact due to EBPs.
18 months
Self-Management Support questions from the RIVET Patient Survey- sourced from the SHEP, which is two items in the survey.
Time Frame: 18 months
This secondary outcome will measure patient impacts due to EBPs .
18 months
PACT provider perceived support for high-risk patient care questions from the RIVET Clinician Survey- three survey items assessing confidences, skills and strain/satisfaction with caring for high-risk patients
Time Frame: 18 months
This secondary outcome will measure patient impacts of EBP#1 (CACP).
18 months
Patient self-reported medication adherence This survey is a 3-item scale developed and validated in Veteran populations
Time Frame: At the beginning and end of 18-month implementation period
This survey is a 3-item scale developed and validated in Veteran populations.
At the beginning and end of 18-month implementation period
EBP Fidelity
Time Frame: 18 months
A composite EBP fidelity measure for each EBP will be assessed by percent of items completed.
18 months
Facility adopting cost
Time Frame: 18 months
Cost calculated from time incurred by facilities adopting the EBPs
18 months

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Investigators

  • Principal Investigator: Evelyn T Chang, MD MSHS, VA Greater Los Angeles Healthcare System, Sepulveda, CA
  • Principal Investigator: Susan E Stockdale, PhD MA, VA Greater Los Angeles Healthcare System, Sepulveda, CA

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Actual)

July 23, 2021

Primary Completion (Estimated)

September 30, 2025

Study Completion (Estimated)

December 30, 2026

Study Registration Dates

First Submitted

September 9, 2021

First Submitted That Met QC Criteria

September 9, 2021

First Posted (Actual)

September 20, 2021

Study Record Updates

Last Update Posted (Actual)

September 11, 2023

Last Update Submitted That Met QC Criteria

September 6, 2023

Last Verified

September 1, 2023

More Information

Terms related to this study

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

NO

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

product manufactured in and exported from the U.S.

No

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

Clinical Trials on Multimorbidity

Clinical Trials on EBQI-IC

3
Subscribe