Evaluation of GeoHAI Implementation

NCT05612672 | Active Not Recruiting

• 1 other identifier: R01HS027200
• Study Type: interventional
• Target: 25
• Locations: 1 country
• Sites: 1

Brief Summary

Geographic Information Systems (GIS) and spatial analysis have become important tools in public health informatics but have rarely been applied to the hospital setting. In this study we apply these tools to address the challenge of Hospital Acquired Infections (HAIs) by building, implementing, and evaluating a new computer application which incorporates mapping and geographic data to assist hospital epidemiologists in identifying HAI clusters and assessing transmission risk. We expect that incorporation of geographic information into the workflow of hospital epidemiologists will have a profound effect on our understanding of disease transmission and HAI risk factors in the hospital setting, radically altering the workflow and speed of response of infection preventionists and improving their ability to prevent HAIs.

Conditions

Clostridioides Difficile Infection; Healthcare Associated Infection

Keywords

Geographic information system

Outcome Measures

Primary Outcomes (1)

• Change from Baseline Healthcare-Associated Infection (HAI) Rate

  HAI rate at healthcare system level before intervention and after

  Baseline and 3 months post-implementation

Secondary Outcomes (8)

• Knowledge of tool

  Immediately post-training

• Change from baseline skill confidence

  Baseline, 1 month post-implementation

• Usability score

  Immediately post training, 1 month post-implementation

• GeoHAI Use

  1 month post-implementation

• Change in Healthcare-Associated Infection (HAI) Investigation Process

  Baseline, 1 month post-implementation

Study Arms (1)

GeoHAI Use

EXPERIMENTAL

Participants will use the GeoHAI tool

Other: GeoHAI

Interventions

GeoHAI OTHER

A Geographic healthcare-associated infection (HAI) visualization and assessment tool (GeoHAI) which uses spatio-temporal Bayesian models to identify clusters of National Healthcare Safety Network (NHSN)-defined hospital onset Clostridium difficile (CDI) and multidrug resistant organisms (MDRO), and predict potential high risk areas given hospital and patient risk factors.

GeoHAI Use

Eligibility Criteria

• Age: 18 Years+
• Sex: all
• Healthy Volunteers: Yes
• Age Groups: Adult (18-64), Older Adult (65+)

You may qualify if:

• Infection preventionist or physician involved in infection prevention at participating health system

You may not qualify if:

• Not an infection preventionist nor a physician involved in infection prevention
• Does not work at the participating health system

Sponsors & Collaborators

• Ohio State University: lead
• Agency for Healthcare Research and Quality (AHRQ): collaborator
• University of Florida: collaborator

Study Sites (1)

The Ohio State University

Columbus, Ohio, 43210, United States

Location

MeSH Terms

Conditions

Clostridium Infections; Cross Infection

Condition Hierarchy (Ancestors)

Gram-Positive Bacterial Infections; Bacterial Infections; Bacterial Infections and Mycoses; Infections; Iatrogenic Disease; Disease Attributes; Pathologic Processes; Pathological Conditions, Signs and Symptoms

Study Officials

• Courtney Hebert, MD

  Ohio State University

  PRINCIPAL INVESTIGATOR

Study Design

• Study Type: interventional
• Phase: not applicable
• Allocation: NA
• Masking: NONE
• Purpose: HEALTH SERVICES RESEARCH
• Intervention Model: SINGLE GROUP
• Sponsor Type: OTHER
• Responsible Party: PRINCIPAL INVESTIGATOR
• PI Title: Associate Professor

Model Details: Participants will get the intervention and outcomes will be measured pre- and post-implementation

Study Record Dates

• First Submitted: April 18, 2022
• First Posted: November 10, 2022
• Study Start: February 13, 2023
• Primary Completion: April 1, 2026
• Study Completion (Estimated): September 1, 2026
• Last Updated: May 5, 2026

Record last verified: 2026-04

Data Sharing

• IPD Sharing: Will not share

Locations

US (1)