This CHAIPI Study at Columbia is a natural experiment pre-post design using data from two electronic surveys supplemented with qualitative data. The key study objectives are:
- Obtain current data on infection control department characteristics, infection preventionists (IPs) roles, infection prevention and control processes implemented, and HAI rates in CHAIPI and non- CHAIPI hospitals using an electronic survey process (Survey 1);
- Gain understanding of the IP role and impact of CHAIPI by collecting qualitative data;
- Resurvey all hospitals to obtain post CHAIPI data for comparison (Survey 2);
- Widely disseminate all results.
The empirical data collection instrument for this study has been modified from an existing web-based survey previously developed by team members. Differences among groups will be examined using multivariant regression controlled for known confounding. The qualitative interviews will provide a rich understanding of the IP role, be useful for confirming the reliability of the web survey, and inform empirical analysis.
This 24 month study is a partnership between the researchers at Columbia University and APIC, the latter of which has been seminal for developing content for the educational collaborative. This strong interdisciplinary team aims to provide generalizable knowledge to inform evidence-based decision making for health policy makers, hospital administrators, epidemiologists, and infection preventionists in California as well as nationally.
Columbia University’s Human Subject Institutional Research Review Board has approved this study.