SDR 19-443
Effectiveness and Implementation of eScreening in Post 9/11 Transition Programs
James Pittman, PhD MSW VA San Diego Healthcare System, San Diego, CA San Diego, CA Funding Period: October 2020 - March 2025 Portfolio Assignment: Mental and Behavioral Health |
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AbstractBackground: Veterans disproportionately account for to 22% of all known suicides in the US. Screening for suicide risk at the first contact with an organization is a best practice in the national Zero Suicide framework and vital to enhancing access to appropriate care. Transition Care Management (TCM) programs are positioned to screen post-9/11 Veterans at the critical moment of enrollment in healthcare. Unfortunately, many Veterans who present for the first time in VHA with recent suicidal thoughts do not receive same day suicide risk evaluation (SRE), partly due to cumbersome screening processes. eScreening is a web-based Gold Standard Promising Practice electronic screening system with real-time scoring and integration into CPRS/VistA. Our eScreening effectiveness pilot in 1,372 post-9/11 Veterans and our 2-site multicomponent implementation strategy (MCIS) pilots showed increase speed and rate of SRE and sustainment of eScreening in two pilot sites. More research is warranted to test both. Significance/Impact: This proposal responds to HSR&D Priority Areas of: Suicide prevention, Increasing the real-world impact of research, and Implementation science. Our data will inform best practices in suicide prevention through early identification. This project will also allow for real-world integration of research into practice and inform implementation efforts for technology. Innovation: eScreening is a unique program developed with feedback from Veterans. To our knowledge, this is the first study to integrate VHA developed mobile patient-report screening technology to improve screening in TCM programs. It is also the first to examine the impact of electronic screening on rates of suicide risk evaluation and referral to care. Specific Aims: Aim 1. Evaluate the effectiveness of eScreening, compared to paper and verbal screening, on rate and speed of screening completion (suicide screening & evaluation, PTSD, depression, alcohol) and referral to mental health care in 8 TCM programs, using a stepped wedge design. Aim 2: Evaluate the implementation, scalability, and sustainability of the eScreening MCIS, guided by RE-AIM. We will also document and calculate replication costs across sites. Aim 3. Use comparative case analysis to compare high and low eScreening adopters, exploring factors influencing the implementation of eScreening and the impact of the eScreening MCIS, using PRISM constructs. Methodology: We propose an 8 site 4-year stepped-wedge mixed-method Hybrid Type 2 pragmatic trial to compare eScreening to screening as usual while evaluating a MCIS in the site’s TMC program. Aim 1 outcomes will be collected via deidentified chart pull at the start and end of the 9-month intervention period and 9-months post intervention. Aim 2 outcomes will be collected quantitatively from TCM staff questionnaires and qualitatively from interviews. Aim 3 data will be collected at the same intervals as Aim 2. Next Steps/Implementation: We will use the findings of this research to inform suicide prevention early identification best practices and enterprise scale-up of eScreening with our VACO partners.
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External Links for this ProjectNIH ReporterGrant Number: I01HX003079-01Link: https://reporter.nih.gov/project-details/9949357 Dimensions for VADimensions for VA is a web-based tool available to VA staff that enables detailed searches of published research and research projects.Learn more about Dimensions for VA. VA staff not currently on the VA network can access Dimensions by registering for an account using their VA email address. Search Dimensions for this project
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PUBLICATIONS:Journal Articles
DRA:
Mental, Cognitive and Behavioral Disorders
DRE:
Technology Development and Assessment, TRL - Applied/Translational
Keywords:
None at this time.
MeSH Terms:
None at this time.
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