Closing the gap on infection prevention staffing recommendations: Results from the beta version of the APIC staffing calculator.
Published literature suggests "one-size-fits-all" infection prevention and control (IPC) staffing recommendations do not sufficiently account for program complexity needs. This project's objective was to create and validate a calculator utilizing risk and complexity factors to generate individualize...
| Publicado en: | American Journal of Infection Control Vol. 52; no. 12; pp. 1345 - 1351 |
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| Autores principales: | , , |
| Formato: | research Journal Article |
| Publicado: |
Elsevier B.V.
Dec2024
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=180855278&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 180855278 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 01966553 44Q jtl: American Journal of Infection Control issn: 01966553 maglogo: N pubinfo: dt: Dec2024 vid: 52 iid: 12 pid: 467 pub: Elsevier B.V. place: New York, New York artinfo: ui: 180855278 180855278 180855278 10.1016/j.ajic.2024.09.004 180855278 ppf: 1345 ppct: 6 formats: tig: atl: Closing the gap on infection prevention staffing recommendations: Results from the beta version of the APIC staffing calculator. aug: au: Bartles, Rebecca Reese, Sara Gumbar, Alexandr affil: Association for Professionals in Infection Control and Epidemiology, Center for Research, Practice, and Innovation, Arlington, VA sug: subj: Risk Assessment Infection Prevention and Control Personnel Staffing and Scheduling Human Surveys Needs Assessment Algorithms Attitude of Health Personnel Treatment Outcomes Benchmarking Infection Preventionists Catheter-Related Bloodstream Infections Urinary Tract Infections, Catheter-Related Clostridium Infections Surgical Wound Infection Colon Pathology Hospitals Descriptive Statistics Bed Occupancy ab: Published literature suggests "one-size-fits-all" infection prevention and control (IPC) staffing recommendations do not sufficiently account for program complexity needs. This project's objective was to create and validate a calculator utilizing risk and complexity factors to generate individualized IPC staffing ratios. An online survey-based calculator was created that incorporated factors intended to predict staffing needs and multiple investigative questions to allow for optimization of factors in the algorithm. Hospital characteristics, staffing ratios, staffing perception, and outcomes were analyzed to determine the optimal questions and benchmarks for future releases. The median infection preventionist full-time equivalent to bed ratio was 121.0 beds for 390 participating hospitals. The calculator deemed 79.2% of respondent staffing as below expected. Significant association existed between higher standard infection ratio ranges and staffing status for central line-associated bloodstream infection (P =.02), catheter-associated urinary tract infections (P =.001), Clostridioides difficile infections (P =.003), and colon surgical site infections (P =.0001). This novel approach allows facilities to staff their IPC program based on individual factors. Future versions of the calculator will be optimized based on the findings. Future research will clarify the impact of staffing on patient outcomes and staff retention. • A significant association exists between higher standard infection ratio ranges and staffing status for certain health care-associated infection types. • Almost 80% of hospitals participating in the study were identified as having lower than expected staffing levels. • More than 85% of respondents who believed their staffing levels were inadequate came from hospitals found to have lower than expected IP staffing by the calculator. pubtype: Academic Journal doctype: research Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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