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GEO-SIRS - GEOspatial and Social Influences on Readmissions for Sepsis

Award Number: F31NR022226
ORGANIZATION: NATIONAL INSTITUTE OF NURSING RESEARCH
OPDIV: NIH
AWARD CLASS: DISCRETIONARY
AWARD ACTIVITY TYPE: FELLOWSHIP/SCHOLARSHIP/STUDENT LOANS
PERIOD OF PERFORMANCE START DATE: 09/30/2026
PERIOD OF PERFORMANCE END DATE: 09/29/2027

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GEO-SIRS - GEOspatial and Social Influences on Readmissions for Sepsis - PROJECT SUMMARY Sepsis is a major cause of hospitalization and death in the United States, and unplanned 30-day readmissions after sepsis are common, costly, and clinically consequential. Current approaches to readmission risk assessment rely primarily on clinical information recorded during hospitalization and often omit measurable non-medical barriers that may affect recovery and care transitions after discharge. These barriers include food insecurity, housing instability, transportation barriers, utility insecurity, and interpersonal safety. Each barrier can be measured using standardized screening items and, when documented in structured form, ICD-10-CM Z codes. In parallel, post-discharge risk may also vary with predefined, address-linked contextual exposures that can be measured at the neighborhood level (e.g., deprivation indices, rurality, proximity to essential services). GEO-SIRS will integrate electronic health record (EHR) data, patient-reported non-medical barrier screening, and geospatially derived contextual indicators to improve characterization of measurable post-discharge outcomes among sepsis survivors in a multi-site academic health system. The primary outcome is unplanned 30-day hospital readmission, defined using EHR encounter data; a secondary outcome is 30-day all-cause mortality, captured using EHR-linked mortality indicators. Analyses will rely on prespecified, clearly defined variables directly relevant to these outcomes, including clinical severity and demographic characteristics available in the EHR, to support valid inference and reproducible research. Aim 1: We will evaluate the quality and completeness of non-medical barrier information captured in electronic health records and standardize these data using ICD-10-CM Z codes to improve consistency, comparability, and future analytic reproducibility. Aim 2: We will use rigorous statistical and geospatial methods to identify geographic heterogeneity in sepsis readmission risk and compare patient-reported and geospatially derived measures of non-medical barriers and contextual exposures to determine where each source adds value and where important information may be missing. By emphasizing measurable exposures, prespecified clinically meaningful outcomes, and reproducible methods, GEO-SIRS will generate a stronger evidence base for future risk stratification and targeted care transition strategies after sepsis.


Issue Date FY	Funding FY	Legal Entity Name	Legal Entity Address	Legal Entity City	Legal Entity State	Legal Entity Zip Code	Legal Entity COUNTY	Legal Entity COUNTRY	Assistance Listing	Award Code	Budget Year	Action Date	Action Type	Action Amount

Issue Date FY: 2026 ( Subtotal = $41,826 )
2026	2026	VANDERBILT UNIVERSITY	110 21ST AVE S	NASHVILLE	TN	37203	DAVIDSON	USA	Nursing Research	000	1	5/7/2026	NEW	$41,826
														Subtotal = $41,826

Grand Total All Awards = $41,826

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GEO-SIRS - GEOspatial and Social Influences on Readmissions for Sepsis

Award Number: F31NR022226

ORGANIZATION: NATIONAL INSTITUTE OF NURSING RESEARCH

OPDIV: NIH

AWARD CLASS: DISCRETIONARY

AWARD ACTIVITY TYPE: FELLOWSHIP/SCHOLARSHIP/STUDENT LOANS

PERIOD OF PERFORMANCE START DATE: 09/30/2026

PERIOD OF PERFORMANCE END DATE: 09/29/2027

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