AWV Practice Redesign Toolkit (Tailored Intervention)
Medicare Annual Wellness Visit Practice Redesign Toolkit: A Tailored Intervention to Improve Preventive Health Services Use (Phase 2)
1 other identifier
interventional
13,321
1 country
1
Brief Summary
The goal of this study is to improve the use of preventive health services by implementing the AWV Practice Redesign Toolkit to stimulate AWV visit use in diverse practices across the United States. This is a stepped wedge cluster randomized controlled trial. The intervention will be implemented in a total of 16 small-to-mid-size primary care practices (at the practice level) with clinicians and staff. Eight practices will participate in the main clinical trial, and 8 in a replication study. The main clinical trial (with community-based practices) and replication study (with Federally Qualified Health Center practices) will be conducted simultaneously. Electronic health record (EHR) data extractions will be used to collect outcomes in a population cohort of patients. Semi-structured interviews will be conducted with clinicians/staff and patients to assess intervention implementation. The investigators hypothesize that the toolkit implementation will increase AWV visit use and consequently, use of preventive health services.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P75+ for not_applicable
Started May 2023
Longer than P75 for not_applicable
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
First Submitted
Initial submission to the registry
September 14, 2022
CompletedFirst Posted
Study publicly available on registry
October 3, 2022
CompletedStudy Start
First participant enrolled
May 15, 2023
CompletedPrimary Completion
Last participant's last visit for primary outcome
September 30, 2025
CompletedStudy Completion
Last participant's last visit for all outcomes
September 30, 2026
ExpectedNovember 3, 2025
June 1, 2025
2.4 years
September 14, 2022
October 30, 2025
Conditions
Keywords
Outcome Measures
Primary Outcomes (1)
AWV utilization
% of eligible patients completing an AWV (CPT codes G0438 or G0439) or Initial Preventive Physical Examination (IPPE) (CPT code G0422) in the past 12 months
through study completion, 12 months after intervention implementation in all practices
Secondary Outcomes (3)
Completion of recommended preventive health services
through study completion, 12 months after intervention implementation in all practices
Completion of recommended preventive health services - composite score
through study completion, 12 months after intervention implementation in all practices
Overuse of preventive health services
through study completion, 12 months after intervention implementation in all practices
Study Arms (1)
Medicare AWV Toolkit
OTHERThis is a stepped-wedged study. All practices will receive the intervention.
Interventions
Electronic health record-based tools coupled with practice redesign strategies and approaches
Eligibility Criteria
You may not qualify if:
- have Medicare coverage
- aged 50 or older
- has at least one visit to the practice in the past 12 months
- not deceased
- Practice eligibility criteria:
- care for patients with Medicare insurance
Contact the study team to confirm eligibility.
Sponsors & Collaborators
- University of California, Los Angeleslead
- DARTNetcollaborator
- American Academy of Family Physicians National Research Networkcollaborator
Study Sites (1)
University of California, Los Angeles
Los Angeles, California, 90024, United States
Study Officials
- PRINCIPAL INVESTIGATOR
Derjung M Tarn, MD,PhD
University of California, Los Angeles
Study Design
- Study Type
- interventional
- Phase
- not applicable
- Allocation
- NA
- Masking
- NONE
- Purpose
- PREVENTION
- Intervention Model
- SEQUENTIAL
- Sponsor Type
- OTHER
- Responsible Party
- PRINCIPAL INVESTIGATOR
- PI Title
- Professor
Study Record Dates
First Submitted
September 14, 2022
First Posted
October 3, 2022
Study Start
May 15, 2023
Primary Completion
September 30, 2025
Study Completion (Estimated)
September 30, 2026
Last Updated
November 3, 2025
Record last verified: 2025-06
Data Sharing
- IPD Sharing
- Will share
- Shared Documents
- STUDY PROTOCOL, SAP, ANALYTIC CODE
- Time Frame
- Within 6 months of publication of the main effects paper. Data will be permanently archived and available.
- Access Criteria
- Where possible data will be shared in an open file format, so proprietary software is not required to view or use the files. All datasets will be indexed by the Thomson-Reuters Data Citation Index, Scopus, and Google Dataset Search. Each dataset is given a unique Digital Object Identifier or DOI. Entering the DOI URL in any browser will take the user to the dataset's landing page. Dryad also provides a faceted search and browse capability for direct discovery. Dryad has implemented the Make Data Count project recommendations. This means that that views and downloads on each dataset landing page are standardized against the COUNTER Code of Practice for Research Data. Within this framework, Dryad also exposes all related citations to a dataset on the landing page. These are updated each time a new citation from an article or other source has been published.
The research team will engage the University of California Curation Center (UC3) to serve as the data repository for all components of the project. The research team will work with UC3 to curate and deliver to the curation center definition of data elements extracted from EHR and source data in a standardized, de-identified format. We also will include statistical codes for analyses in the form of R, SAS or STATA files. The DRYAD system within the UC3 provides a platform to publish the metadata concerning the project that researchers globally can access. This system will serve as the data repository in which we will house the data management plan for the source data as well as metadata that describes the source data and code books of the underlying data elements, with record counts such that outside researchers can have a full understanding of what is housed in the system.