Clostridioides Difficile Infection Clinical Trial
Official title:
GeoHAI Implementation in IP Workflow
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.
Status | Recruiting |
Enrollment | 25 |
Est. completion date | September 30, 2024 |
Est. primary completion date | September 30, 2024 |
Accepts healthy volunteers | Accepts Healthy Volunteers |
Gender | All |
Age group | 18 Years and older |
Eligibility | Inclusion Criteria: - Infection preventionist or physician involved in infection prevention at participating health system Exclusion Criteria: - Not an infection preventionist nor a physician involved in infection prevention - Does not work at the participating health system |
Country | Name | City | State |
---|---|---|---|
United States | The Ohio State University | Columbus | Ohio |
Lead Sponsor | Collaborator |
---|---|
Ohio State University | Agency for Healthcare Research and Quality (AHRQ) |
United States,
Type | Measure | Description | Time frame | Safety issue |
---|---|---|---|---|
Primary | Change from Baseline Healthcare-Associated Infection (HAI) Rate | HAI rate at healthcare system level before intervention and after | 1 year | |
Secondary | Knowledge of tool | Knowledge questions to assess understanding of how to use the GeoHAI tool, assessed after participants are trained on how to use the tool | Immediately post-training | |
Secondary | Change from baseline skill confidence at one year | Self-reported level of confidence on investigating HAI clusters | 1 year | |
Secondary | Usability score | System Usability Scale score, and impacts of the tool on work and workflow (interruptions, workarounds, issues/challenges) | 1 year | |
Secondary | GeoHAI Use | Self-reported frequency of use of the GeoHAI tool | 1 year | |
Secondary | Change in Healthcare-Associated Infection (HAI) Investigation Process | Change in how infection preventionists investigate Healthcare-Associated Infections (HAIs) | 1 year | |
Secondary | Number of months healthcare system is below goal HAI rate | Monthly HAI rate at healthcare system level before intervention and after | 1 year | |
Secondary | Feasibility score | Score on feasibility, acceptability, and appropriateness domains of validated Implementation Outcome scale (minimum score = 1, maximum score = 5, where higher scores indicate better feasibility) | 1 year | |
Secondary | Time to HAI cluster identification | Time from when an HAI test was ordered for the first positive patient ultimately contained in an identified HAI cluster, to when that HAI cluster is identified. | 1 year |
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