To communicate that CAUTI rates decreased after practice changes, the best tool is a run chart, which displays a measure over time and helps determine whether observed changes represent real improvement rather than random variation. The Institute for Healthcare Improvement (IHI) describes run charts as graphs of data over time and emphasizes that improvement and sustainability are demonstrated by observing patterns and shifts over time.
Run charts are especially appropriate for infection prevention metrics because they allow a Quality Committee to see: (1) the baseline period before interventions, (2) the timing of practice changes, and (3) whether there is a sustained downward trend or "shift" in CAUTI rates. Patient safety measurement guidance likewise notes that run charts are a standard quality tool to display trends in patient-safety measures over time and evaluate whether process changes are leading to improvement.
By contrast, an affinity diagram organizes ideas/themes, and fishbone diagrams and root cause analyses are primarily for analyzing causes of a problem-not for clearly presenting a time-based improvement result to leadership. A run chart is therefore the most appropriate communication method.

Benchmarking compares infection rates across healthcare facilities. For accurate benchmarking, case definitions must be standardized and adjusted for patient demographics, severity of illness, and other risk factors.
Why the Other Options Are Incorrect?
* A. Data collectors are trained on how to collect data - Training is necessary, but it does not directly ensure comparability between facilities.
* B. Collecting data on a small population - A larger sample size increases accuracy and reliability in benchmarking.
* C. Denominator rates selected based on an organizational risk assessment - Risk assessment is important, but standardized case definitions are critical for comparison.
CBIC Infection Control Reference
According to APIC, accurate benchmarking relies on using standardized case definitions that account for differences in patient populations.

The Certification Study Guide (6th edition) stresses that valid comparison of infection rates requires consistent surveillance definitions and methodologies. When comparing a facility's central line-associated bloodstream infection (CLABSI) rates to those reported in a national database, the single most important consideration is the use of the same case definition for central line infection. Without standardized definitions, rate comparisons are unreliable and may lead to incorrect conclusions about performance.
National databases rely on precise, standardized criteria for what constitutes a CLABSI, including timing, clinical signs, laboratory confirmation, and attribution to a central line. If a facility applies different criteria- such as alternative timing windows, inclusion/exclusion rules, or diagnostic thresholds-the resulting rates may be artificially higher or lower than benchmark data. The study guide emphasizes that comparability hinges on alignment of numerators (cases) and denominators (central line days) using identical definitions.
The other options, while relevant to prevention practices or contextual understanding, are not primary requirements for valid comparison. Skin preparation methods and types of lines influence risk but do not ensure comparability of reported rates. Facility size can affect risk profiles, but standardized definitions allow for risk adjustment within databases.
This question reflects a core CIC exam principle: benchmarking is meaningful only when surveillance definitions are consistent. Ensuring alignment with national definitions is foundational to accurate performance evaluation and quality improvement.
Reference: Certification Study Guide (CBIC/CIC Exam Study Guide), 6th edition, Chapter 4: Surveillance and Epidemiologic Investigation.

The CBIC Certified Infection Control Exam Study Guide (6th edition) follows the standardized surveillance methodology used for calculating central line days, which is essential for accurate reporting of central line- associated bloodstream infection (CLABSI) rates. A central line day is counted for each patient who has one or more central lines in place at the time of the daily count, regardless of the number of central lines present.
Therefore, if a patient has more than one central line, the patient is still counted as one central line day, making option C the correct statement. This approach ensures consistency and comparability of CLABSI rates across units and facilities.
Option A is incorrect because tunneled central venous catheters and implanted ports are included in central line counts if they meet the definition of a central line. Option B is incorrect because a central line is counted on any day it is present, even if it has been in place for less than 24 hours. Option D is incorrect because peripheral intravenous lines are not central lines and must never be included in central line day counts.
Accurate calculation of device days is a foundational surveillance competency for infection preventionists.
Understanding these definitions is critical for valid CLABSI rate calculation, benchmarking, and performance improvement and is a frequently tested concept on the CIC exam.

The correct answer is C, "Rate of multi-drug resistant organisms acquisition," as it represents an example of an outcome measure. According to the Certification Board of Infection Control and Epidemiology (CBIC) guidelines, outcome measures are indicators that reflect the impact or result of infection prevention and control interventions on patient health outcomes or the incidence of healthcare-associated infections (HAIs).
The rate of multi-drug resistant organisms (MDRO) acquisition directly measures the incidence of new infections caused by resistant pathogens, which is a key outcome affected by the effectiveness of infection control practices (CBIC Practice Analysis, 2022, Domain II: Surveillance and Epidemiologic Investigation, Competency 2.4 - Evaluate the effectiveness of infection prevention and control interventions).
Option A (hand hygiene compliance rate) is an example of a process measure, which tracks adherence to specific protocols or practices intended to prevent infections, rather than the resulting health outcome. Option B (adherence to environmental cleaning) is also a process measure, focusing on the implementation of cleaning protocols rather than the end result, such as reduced infection rates. Option D (timing of preoperative antibiotic administration) is another process measure, assessing the timeliness of an intervention to prevent surgical site infections, but it does not directly indicate the outcome (e.g., infection rate) of that intervention.
Outcome measures, such as the rate of MDRO acquisition, are critical for evaluating the success of infection prevention programs and are often used to guide quality improvement initiatives. This aligns with CBIC's emphasis on using surveillance data to assess the effectiveness of interventions and inform decision-making (CBIC Practice Analysis, 2022, Domain II: Surveillance and Epidemiologic Investigation, Competency 2.5 - Use data to guide infection prevention and control strategies). The focus on MDRO acquisition specifically highlights a significant healthcare challenge, making it a prioritized outcome measure in infection control.
References: CBIC Practice Analysis, 2022, Domain II: Surveillance and Epidemiologic Investigation, Competencies 2.4 - Evaluate the effectiveness of infection prevention and control interventions, 2.5 - Use data to guide infection prevention and control strategies.