Identifying HIV treatment engagement factors using clinical informatics and stated preference methods
NIMH - National Institute of Mental Health
About This Grant
PROJECT SUMMARY/ABSTRACT People with HIV (PWH) who experience challenges with antiretroviral therapy (ART) adherence are at increased risk for suboptimal treatment outcomes, including viral non-suppression and disengagement from care. Despite advancements in ART delivery options, personalized treatment approaches that integrate patient preferences remain underutilized, particularly among PWH facing psychosocial and documented barriers. Clinical decision support (CDS) tools offer a promising avenue to address this gap by tailoring treatment recommendations based on patient-specific needs and barriers. However, current CDS tools often fail to incorporate rich patient insights available from unstructured electronic health record (EHR) notes or systematically integrate directly reported preferences, limiting their potential to enhance adherence and outcomes. The proposed training and research plan for this K23 will enable José I. Gutierrez, Jr., PhD, FNP- BC, to acquire the expertise necessary to become an NIH-funded independent investigator who designs patient-informed CDS interventions that optimize HIV treatment delivery. Under the mentorship of an experienced multidisciplinary team, Dr. Gutierrez will use a mixed-methods approach to develop foundational components of a CDS prototype that integrates natural language processing (NLP)–derived EHR information with patient-reported preference data. Building on prior work in HIV treatment delivery and preference evaluation, he will pursue the following specific aims: (1) explore HIV treatment delivery preferences, barriers, and facilitators within EHR notes using NLP; (2) identify and quantify patient preferences, barriers, and facilitators using qualitative interviews and MaxDiff; and (3) develop the key features of a CDS prototype that generates tailored suggested actions informed by EHR and patient-preference data, and evaluate its acceptability, feasibility, usability, and intended adoption in a 9-month, cross-sectional, non-clinical user-testing study using standardized vignettes and de-identified/fictionalized cases (no live EHR). This research plan aligns with Dr. Gutierrez's career development goal to gain advanced skills in clinical informatics and NLP, qualitative and mixed-methods research, and patient-informed intervention design. Findings will provide the foundation for a subsequent NIH R01 to rigorously evaluate effectiveness in clinical settings, with the overarching goal of improving ART adherence and treatment outcomes among PWH. 1
Grant Summary
Identifying HIV treatment engagement factors using clinical informatics and stated preference methods is a NIMH - National Institute of Mental Health grant providing up to $201K for university, nonprofit, healthcare org. Applications are due 2031-04-30 (open). Check eligibility and apply with FindGrants.
Focus Areas
Eligibility
How to Apply
Up to $201K
2031-04-30
- 1Confirm your organization is eligible for Identifying HIV treatment engagement factors using clinical informatics and stated preference methods from NIMH - National Institute of Mental Health, checking organization type, location, and any population or project requirements.
- 2Gather the required documents and information, including your organization details, project plan, and budget figures.
- 3Draft your application narrative and budget addressing the funder's priorities and review criteria. FindGrants can draft each section for you to review and edit.
- 4Review every section against the requirements checklist, then export a submission-ready application pack and submit it to NIMH - National Institute of Mental Health before the deadline.
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Identifying HIV treatment engagement factors using clinical informatics and stated preference methods: Frequently Asked Questions
Who is eligible for the Identifying HIV treatment engagement factors using clinical informatics and stated preference methods?
Identifying HIV treatment engagement factors using clinical informatics and stated preference methods is offered by NIMH - National Institute of Mental Health and is generally open to university, nonprofit, healthcare org. It is open to organizations nationwide unless the funder specifies otherwise. Review the specific eligibility terms before applying, since funders set their own requirements around organization type, location, and the population or project being served.
How much funding does the Identifying HIV treatment engagement factors using clinical informatics and stated preference methods provide?
Identifying HIV treatment engagement factors using clinical informatics and stated preference methods provides up to $201K per award from NIMH - National Institute of Mental Health. Actual award sizes depend on the scope of your project, available program funds, and the number of applicants, so build a budget that reflects realistic, allowable costs rather than the maximum figure.
When is the Identifying HIV treatment engagement factors using clinical informatics and stated preference methods deadline?
Applications for Identifying HIV treatment engagement factors using clinical informatics and stated preference methods are due 2031-04-30 (open). Because deadlines can change, verify the date with the funder, NIMH - National Institute of Mental Health, and give yourself enough time to prepare a complete, competitive application before the close date.
How do you apply for the Identifying HIV treatment engagement factors using clinical informatics and stated preference methods?
To apply for Identifying HIV treatment engagement factors using clinical informatics and stated preference methods, confirm your eligibility, gather the required documents, and prepare a narrative and budget that address the funder's priorities. FindGrants guides you step by step and can draft each section, then exports a submission-ready application pack for this grant from NIMH - National Institute of Mental Health.