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...

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Publicado en:American Journal of Infection Control Vol. 52; no. 12; pp. 1345 - 1351
Autores principales: Bartles, Rebecca, Reese, Sara, Gumbar, Alexandr
Formato: research Journal Article
Publicado: Elsevier B.V. Dec2024
Acceso en línea:Ver este registro en EBSCOhost
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      jtl: American Journal of Infection Control
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      dt: Dec2024
      vid: 52
      iid: 12
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      pub: Elsevier B.V.
      place: New York, New York
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        180855278
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        10.1016/j.ajic.2024.09.004
        180855278
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        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
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