Summary report

Column

Executive summary



Healthcare-associated infections (HAIs) are acquired while patients receive treatment for another condition in a healthcare setting. The Utah Department of Health and Human Services (DHHS) works with community partners to monitor and prevent these infections because they are a critical threat to patient safety and extremely costly to treat. Utah Health Code Title 26B, Chapter 7, Section 221, Public Reporting of Healthcare Associated Infections, requires the DHHS to collect data on HAIs from healthcare facilities and report this data to the public on an annual basis. This report contains the following data:

  • All infections for which Centers for Medicare and Medicaid Services (CMS) requires facilities to report to the National Healthcare Safety Network (NHSN):
    • Central line-associated bloodstream infections (CLABSIs)
    • Catheter-associated urinary tract infections (CAUTIs)
    • Surgical site infections (SSIs)—exclusive to colon surgeries and abdominal hysterectomy surgeries
    • Clostridioides difficile infections (CDI)
    • Methicillin-resistant Staphylococcus aureus (MRSA) bacteremia infections
    • Dialysis event bloodstream infections (BSI)
  • Identified facilities, as required by the Utah Health Code, Title 26B, Chapter 7, Section 221
  • A comparison of data in acute care hospitals (ACHs), critical access hospitals (CAHs), long-term acute care hospitals (LTACHs), inpatient rehabilitation facilities (IRFs), and dialysis facilities to national aggregate data


The information in this report has several limitations and should be considered as an overview of HAIs in Utah. The data displayed comes from NHSN which are self-reported by healthcare facilities. Additionally, data are only included from facilities required by the CMS to report to NHSN. CMS reporting requirements also vary for each disease/condition depending on the facility type. Validation of these data by DHHS is limited. Data does not reflect variabilities of patient acuity experienced in different facility settings. The COVID-19 pandemic may have impacted the data collection and HAI rates.

 

Utah Department of Health and Human Services

Healthcare-associated infections and antimicrobial resistance program


P.O. Box 142104
Salt Lake City, UT 84114
PH 801-538-6191 • FAX 801-538-9923

 

Foreword

Healthcare-associated infections (HAIs) are a major, often preventable, threat to patient safety. Thank you to all the healthcare professionals and facilities in Utah who are committed to protecting patients and healthcare personnel and tirelessly work toward the goal of eliminating these preventable infections. The Utah Department of Health and Human Services (DHHS) Healthcare-associated Infections and Antimicrobial Resistance (HAI/AR) program helps Utah patients receive the best and safest care. Implementation of statewide HAI prevention efforts is an essential part of a comprehensive patient safety program. Publicly released HAI data is an important step in transparency creation for healthcare safety and quality in Utah.

Patients have a right to feel safe and assured that public health is working to eliminate preventable infections. Two keys to HAI elimination are 1) accurate data collection to assess prevention impact, and 2) dissemination of results to healthcare providers and consumers. Conscientious efforts in data reporting contribute toward meeting HAI prevention efforts and control needs.

This 2022 Annual healthcare-associated infections report was developed in accordance with recommendations established by the Utah healthcare infection prevention governance committee (UHIP-GC), a multi-disciplinary panel of state leaders in patient safety, infectious diseases, and infection control. It provides an update on previous HAI reports and details our progress toward the goal of reduction and, ultimately, elimination of HAIs.

This report allows Utahns to compare HAIs among 5 healthcare settings (acute care hospitals, critical access hospitals, long-term acute care hospitals, inpatient rehabilitation facilities, and dialysis facilities) in Utah and the U.S. The data in this report are self-reported to the National Healthcare Safety Network (NHSN) by each facility required to report HAIs by the Centers for Medicare and Medicaid Services (CMS). The DHHS analyzes the data using proven statistical methods to provide comparison information.

Angela Weil, APRN


Clinical Coordinator
HAI/AR Program
Utah Department of Health and Human Services

How to read this report

Welcome to the 2022 Annual Report of Healthcare Associated Infections in Utah

We recommend reading through the light green tabs first, which include the executive summary, foreword, and interpreting HAI data. Then, click on the dark purple Utah HAIs tab above to see drop down data pages on each HAI. The last About the data tab goes through the introduction, how Utah HAI data is collected, data quality validation, validation conclusions, references, and acknowledgements.

In the Overview and events tables, column headers may be underlined with light blue. Hover over these to read term definitions.

Thank you!

Interpreting HAI data

What does the standardized infection ratio (SIR) mean?

The SIR is the ratio of the observed number of infections (events) to the number of predicted infections (events) for a specific time period.

National baseline: Aggregated data reported to the National Healthcare Safety Network (NHSN) by all facilities during a baseline period is used to “predict” the number of infections expected to occur in a hospital, state, or in the country. In the 2022 National and State Healthcare-Associated Infections (HAI) Progress Report, the number of predicted infections is an estimate adjusted for each facility through the use of variables known to be significant predictors of HAIs, such as the number of community-onset infections or the number of annual patient days. Incidence was also analyzed for each quarter in 2021 and compared with 2022, with appropriate risk adjustments made for the respective HAI, to assess the impact of COVID-19 on HAIs. Due to the high number of hospitalizations in 2020, the predicted number of infections was significantly higher than previous years for most HAIs.

SIR value Interpretation
Fewer than 1 There were fewer infections observed than predicted, based on the national aggregate data.
Equal to 1 There were about the same number of infections observed as predicted, based on the national aggregate data.
More than 1 There were more infections observed than predicted, based on the national aggregate data.


Examples: 45 observed cases/30 expected cases: the SIR is 45/30 = 1.5 Since 1.5 is 50% greater than 1, the SIR indicated an excess of 50%.

15 observed cases/30 expected cases: the SIR is 15/30 = 0.5 Since 0.5 is 50% less than 1, a SIR = 0.5 would indicate a 50% decrease.

To enforce a minimum precision criterion, SIRs are only calculated when the number of predicted infections is greater than 1. This rule was instituted by NHSN to avoid the calculation and interpretation of statistically imprecise SIRs, which typically have extreme values.

Key:

Statistically FEWER infections than the national aggregate data

Statistically MORE infections than the national aggregate data

Predicted to have less than one infection for the year, and had ZERO infections, as defined by NHSN, in 2022

Predicted to have less than one infection for the year, but had one or more infections, as defined by NHSN, in 2022

NOT statistically different from the national aggregate data

Column

2022 HAI highlights

Utah SIRs compared to national aggregate data:

Box 1

37%

Box 2

15.9%

Box 3

14.2%

UT and national average comparison

CLABSI

Row

Row

Overview of CLABSI in Utah, 2022

CLABSI events by Utah facility, 2022

CAUTI

Row

Row

Overview of CAUTI events in Utah, 2022

CAUTI events by Utah facility, 2022

CDI

Row

Row

Overview of C. difficile infections in Utah, 2022

C. difficile infections by Utah facility, 2022

SSI

Row

Row

Overview of SSIs in Utah, 2022

SSIs associated with colon surgeries by Utah facility, 2022

SSIs associated with abdominal hysterectomy surgeries by Utah facility, 2022

MRSA

Row

Row

Overview of MRSA bacteremia infections in Utah, 2022

MRSA bacteremia infections by Utah facility, 2022

Dialysis BSI

Row

Row

Overview of dialysis BSI events in Utah, 2022

BSI by Utah dialysis facility, 2022

About the data

About the Data

Introduction

Background

Healthcare-associated infections (HAIs) are infections people acquire while they receive treatment for another condition in a healthcare setting. HAIs can be acquired anywhere healthcare is delivered, including inpatient acute care hospitals (ACH), outpatient settings (ambulatory surgical centers and dialysis facilities), and long-term care facilities (nursing homes and rehabilitation centers). HAIs may be caused by any infectious agent, including bacteria, fungi, and viruses, as well as other less common pathogens. HAIs include central-line associated bloodstream infections (CLABSIs), catheter-associated urinary tract infections (CAUTIs), surgical site infections (SSIs), methicillin-resistant Staphylococcus aureus (MRSA) bacteremia infections, and Clostridioides difficile-associated infections (CDIs).

Economic studies estimate HAI treatments cost more than $9 billion a year when looking from the hospital perspective (Scott et al., 2019). However, this does not address the societal cost perspective. HAIs can have devastating emotional, financial, and medical consequences for the person affected (HHS, 2022). Each day, approximately 1 in 31 U.S. hospitalized patients has at least 1 infection associated with their care. These infections can lead to significant morbidity and mortality, with tens of thousands of lives lost each year, which underscores the need for improvements in infection prevention practices in U.S. healthcare facilities (Agency for Healthcare Research and Quality [AHRQ], 2019; CDC, 2018).

The DHHS HAI/AR program’s mission is to prevent healthcare-associated infections and the spread of antimicrobial-resistant organisms through collaboration with partners; surveillance and response to outbreaks; data analysis; education; and policy change. The program produces this annual report to document and analyze HAI trends in Utah healthcare facilities (reporting facilities are outlined in the executive summary) as one of the activities under this mission. The NHSN statistics calculator was used to determine statistical significance. This calculator provides a relative ratio of SIRs, a two-tailed p-value, and a 95% confidence interval.

2022 HAI findings in Utah and the US

HAIs may be caused by various types of invasive devices, such as a central line or urinary catheter, used when patients are ill (Marschall et al., 2014). The longer these devices are in place, the greater the risk for infection (U.S. Department of Health and Human Services [HHS], 2022). In 2022, U.S. acute care facilities observed decreases in annual HAI rates for CLABSIs and CAUTIs when compared with 2021. Specifically, acute care facilities reported a 9% decrease in CLABSIs and a 12% decrease in CAUTIs (Centers for Disease Control and Prevention [CDC], 2023). In Utah, decreases were also observed for both CLABSIs and CAUTIs (7% and 4%, respectively). However, the SIRs were not found to be significantly different when compared with 2021 (p=0.57 and p=0.78, respectively) (CDC National Healthcare Safety Network [NHSN], 2023a).

HAIs may also occur as a result of complications following a surgical procedure or when infection control practices such as hand washing are not followed (Anderson et al., 2014). While advances have been made in infection control and prevention and antimicrobial prophylaxis, these infections are not uncommon and account for 20% of all HAIs nationwide (CDC NHSN, 2023b). According to the 2022 National and State Healthcare-Associated Infections Progress Report, there were no significant changes in abdominal hysterectomy SSIs at the national level (CDC, 2023). Utah experienced an increase that was not found to be statistically significant when compared with Utah’s 2021 SIR (p= 0.39). The increase was due to only 2 additional events. The infection rates for colon surgery SSIs had no statistically significant change from 2021 for both Utah and the U.S. (CDC 2023; CDC NHSN, 2023a).

MRSA is a bacterium resistant to many antibiotics and is common in healthcare facilities. In the community, most MRSA infections are skin infections. In medical facilities, MRSA may cause life-threatening bloodstream (or bacteremia) infections, endocarditis, pneumonia, and surgical site infections (Calfee et al., 2014). Although significant progress has been made to reduce MRSA bloodstream infections, MRSA still poses a formidable clinical threat, with persistently high morbidity and mortality (Turner et al., 2019). The total number of MRSA bacteremia cases reported both nationally and in Utah decreased from 2021 to 2022. U.S. acute care facilities experienced a 16% decrease (CDC, 2023), and Utah experienced a 32% decrease when comparing SIRs from 2021 and 2022. Though the national decrease was found to be statistically different, the decrease in Utah was not found to be significant (p= 0.08). However, it is worth noting that 35 acute care facilities in Utah reported 0 cases of MRSA in 2022 (CDC NHSN, 2023a).

Patients who receive medical care and take antibiotics for long periods of time are more susceptible to HAIs, such as CDIs. Although antibiotics quickly and effectively eliminate bacterial infections, they also get rid of the good bacteria that protects the body against harmful infections. Antibiotic misuse and subsequent antibiotic resistance has driven the growth of CDIs and the emergence of new strains (Spigaglia, 2016). CDIs are estimated to cause almost half a million infections in the U.S. each year, and now rival MRSA as the most common organism to cause HAIs in the U.S. (CDC 2022b; Dubberke et al., 2014). Furthermore, one in 11 patients older than age 65 with CDI die within a month of diagnosis (CDC, 2022b). Fortunately, there was a 3% decrease in hospital onset CDIs in the U.S. ACHs between 2021 and 2022 (CDC, 2023). Utah experienced a 2% increase; however, the difference in SIRs was not found to be statistically significant (p= 0.83) (CDC NHSN, 2023a).

Patients who undergo dialysis treatment (a treatment for patients who have inadequate kidney function) also have an increased risk for acquiring HAIs. They are at high risk because this artificial process to get rid of waste and fluid in the body requires frequent use of catheters to access the bloodstream. Dialysis patients may have weakened immune systems, which also increases their risk for infection (CDC, 2020). The SIR of dialysis event bloodstream infections (BSI) has continued to decrease each year both nationally and in Utah. Although this report shows a larger overall number of events than 2021, the SIR has decreased. A comparison of Utah dialysis BSI event SIRs from 2021 to 2022 shows a 23% decrease. This difference was not found to be statistically significant (p= 0.21) (CDC NHSN, 2023). The larger number of events in 2022 is not a true increase and is likely due to the DHHS HAI/AR program staff assisting 13 facilities in sharing their NHSN data to the state of Utah. This is an important step for data accuracy in this annual report as well as guiding where to implement targeted infection prevention efforts within the state.

The impacts to HAI incidence were particularly evident during the COVID-19 pandemic. Not only were there challenges in the healthcare response to rising hospitalization rates, there were also documented shortages in healthcare personnel, which led to decreased HAI prevention and surveillance by facilities (Wu et al., 2021). The nation continued to experience unprecedented challenges due to the COVID-19 pandemic in 2021; however, hospitals resumed mandated reporting of HAIs which resulted in a return to pre-pandemic numbers of facilities reporting into NHSN. CDC analysis reveals that many HAIs continued to increase in U.S. hospitals during 2021, the second year of the COVID-19 pandemic. Most notably, NHSN data shows a significantly higher incidence in central line-associated bloodstream infections (CLABSIs), catheter-associated urinary tract infections (CAUTIs), and methicillin-resistant Staphylococcus aureus (MRSA) bacteremia in 2021 compared with 2019 (CDC, 2022a). 2022 marks a return to a more normal state with hospitals resuming required reporting. The increased incidence observed for certain diseases/conditions did not continue in 2022.

These findings stress the importance of action from public health and healthcare facilities to eliminate infections that commonly threaten hospital patients, especially during times of emergent crises.

How are Utah HAI data collected?

Identification of healthcare-associated infections (HAIs) requires an organized, multi-pronged approach. It is important to determine whether infections are healthcare-associated or already present upon facility admission. State regulations require the Utah Department of Health and Human Services (DHHS) to collect and report data on HAIs because of the concern about how deadly and costly HAIs are.

Acute care hospitals with intensive care units have submitted data directly to the DHHS for the annual HAI report since 2008. However, reporting facilities were not identified by name. In 2011, the Centers for Medicare and Medicaid Services (CMS) required acute healthcare facilities to report specific HAI data to the National Healthcare Safety Network (NHSN) for payment reimbursement. In 2012, Utah Health Code Title 26B, Chapter 7, Section 221, Public Reporting of Healthcare Associated Infections, was passed which requires the DHHS to: a) access and analyze facility-specific NHSN data required by CMS; b) publish an annual HAI report for the public in which facilities are identified by name; and c) conduct validation activities.

Facilities in Utah submit data about specific HAIs to the NHSN, a secure, online tracking system used by hospitals and other healthcare facilities. The Utah data are reported to NHSN by each facility that is required to report HAIs to CMS. More than 38,000 hospitals and other healthcare facilities nationwide report data to NHSN. This information is then used to summarize HAI data at the national level and for care improvement by facilities, states, regions, quality groups, and national public health agencies, including the Centers for Disease Control and Prevention (CDC).

For an HAI to be publicly reported in Utah under Title 26B, Chapter 7, Section 221, an HAI must meet CMS’s specific reporting measures required for reporting to NHSN. The DHHS works with NHSN and other partners to monitor and prevent these infections as they are a significant threat to patient safety.

Data quality validation

Background

The Department of Health and Human Services (DHHS) is required under Utah Title 26B-7-221, Public Reporting of Healthcare-Associated Infections (HAIs), to validate data reported to the National Healthcare Safety Network (NHSN). Guidance from the Centers for Disease Control and Prevention (CDC) helped direct the selection of infection types for validation of 2022 NHSN data. This guidance included the use of results from the targeted assessment for prevention (TAP) strategy to prioritize activities and focus on acute care hospitals (ACH). This information led DHHS to perform validation of central-line associated bloodstream infections (CLABSIs) and catheter-associated urinary tract infections (CAUTIs) events.

The focus of these validation activities was to determine how NHSN CLABSI and CAUTI event surveillance definitions were interpreted and applied to data collection. The validations were performed by the DHHS HAI/AR program at healthcare facilities throughout the state. Facilities were chosen based on an NHSN random selection process from the NHSN External Validation Guidance and Toolkit for 2022. This selection process is designed to prioritize measurement of a representative sample of facilities to produce an estimate of the inter-rater reliability of the HAI event determination.

Validation activities are intended to compare reported information in NHSN with DHHS audit findings and outcomes to enhance accuracy and completeness of CLABSI and CAUTI reporting. A standardized validation method, as guided by NHSN, was chosen to serve as a test of proficiency in surveillance methods and accuracy in case findings. It should also be noted that results from these facilities may not be generalized to all facilities in the state. Aggregate findings are not necessarily indicative of NHSN data quality throughout the state.

Procedure

An on-site medical record audit was conducted at the chosen healthcare facilities (2 ACHs). Each visit started with an interview of at least 1 member of the infection prevention staff to learn about surveillance methodology, data collection, and personnel training and education on applications of NHSN criteria. The assessment team used CDC’s targeted assessment for prevention (TAP) tools at each facility to determine current prevention practices and make recommendations based on those responses. As many as 10 charts were reviewed in each facility, including charts of patients identified by the facility as having a CLABSI event and charts of patients who had a positive blood culture but were not identified as having a CLABSI. The goal was to determine if any reportable infections were missed. Team members also reviewed as many as 10 charts of patients who were determined to have a CAUTI in 2022 to determine if they correctly met the CAUTI criteria. They also reviewed as many as 10 charts of patients who had a positive urine culture (a urine culture with no more than 2 species of organisms identified, at least 1 of which is a bacterium with >10 ^5 CFU/mL), but were not classified as a CAUTI, to determine if any reportable infections were missed. Results of the validation findings were reviewed with the facility to provide immediate on-site education to improve HAI surveillance and reporting. No errors in reporting CLABSIs or CAUTIs were identified.

Validation conclusions

Infection preventionists at the validated facilities (acute care hospitals [ACHs]) correctly determined which patients met the central-line associated bloodstream infection (CLABSI) definition and applied the definition appropriately. Factors such as the timeline of central line placement, blood culture results, symptom history, and the type of organism identified must all be considered to determine whether CLABSI criteria were met. For complete CLABSI definitions, refer to the National Healthcare Safety Network (NHSN) laboratory confirmed bloodstream infection (LCBI) Checklist.

All infection preventionists at the validated facilities (ACHs) correctly determined which patients met the catheter-associated urinary tract infections (CAUTI) definition and applied the definition appropriately. When performing CAUTI validation, the criteria used to meet the definition included: a urine culture with no more than 2 species of organism identified, at least 1 of which is a bacterium with > 10 (5) CFU/ml; an indwelling urinary catheter which had been in place for longer than 2 consecutive days on the day of the event; and the indicative signs and symptoms were present at the appropriate time during the infection window period. If no signs or symptoms were present but all other criteria were met, then a blood specimen with at least 1 matching bacterium to the bacterium in the urine specimen could be used to meet criteria for a CAUTI.

The Centers for Disease Control and Prevention (CDC) targeted assessment for prevention (TAP) facility assessment was administered to 7 different ACHs with 23 respondents who worked as nurses or in nurse leadership. CDC TAP facility assessment tools for CAUTIs in ACHs demonstrated that 100% of all respondents from facilities reported leadership who actively promoted CAUTI prevention activities. Furthermore, all facilities reported they provide training to the appropriate healthcare personnel on each of the proper treatment practices addressed in the assessment. However, conducting regular competency assessments for each of these practices highlights an area for improvement. For example, all respondents from facilities reported conducting competency assessments on aseptic technique for urinary catheter insertion upon hire; however, only 70% reported assessing this at least annually. Additionally, 68% of respondents from facilities reported conducting annual assessments on proper urinary catheter maintenance procedures, and only 43% reported conducting annual assessments on the use of bladder scanners. Regarding appropriate urine culturing practices, 73% of respondents reported that ordering providers often or always send urine cultures only on patients with signs or symptoms of a urinary tract infection. In contrast, 18% of respondents reported that ordering providers practice this sometimes, and 9% of respondents were unsure.

Validation results show that facilities which were validated have a good understanding of reporting criteria and report healthcare-associated infections (HAIs) accurately into NHSN. However, local surveillance data quality, HAI surveillance data completeness, timeliness, sensitivity, and specificity can always be improved. Additionally, as standardized infection ratios (SIR) remain above the national target outlined in the HHS National Action Plan to Prevent Healthcare-Associated Infections, there is a continued need for robust validation programs (HHS, 2022). It is important to determine whether infections are healthcare-associated or were already present upon facility admission in order to implement appropriate infection prevention measures. Accurate HAI data supports facilities’ efforts to implement effective infection prevention strategies. The validation site visit provides an opportunity for collaboration and education. The HAI/AR program extends our appreciation to the facilities chosen for validation visits.

Other NHSN Activities

The DHHS HAI/AR program staff provided technical support, education, and data correction assistance to healthcare facilities reporting to NHSN. In 2022, this included a focus on work with acute care and dialysis facilities. The team helped 13 dialysis facilities share their NHSN data to the state of Utah. This is important for data accuracy in the annual HAI report as well as targeted infection prevention efforts within the state.

Lessons Learned

The lessons learned from validation visits are discussed below. Additional validation visits took place during the 2023 calendar year using 2021 data that are not included in this report. However, these visits helped inform the lessons learned.

-Some infection preventionists counted patients with central lines in their denominator counts only if the central line had been accessed. However, all patients with at least one central line in place at the time of the count are included in the denominator regardless of access or the number of days the central line was in place. This differs from establishing whether a bloodstream infection is central line-associated when the count to determining whether a central line is eligible for CLABSI events begins on the day it is first accessed in an inpatient location during the current admission.

-One facility correctly attributed a bloodstream infection as secondary to a pneumonia infection. The patient met the PNU1 definition following admission to the facility. A blood specimen positive for MRSA was collected outside of the PNU1 infection window period (IWP), but during the repeat infection time period (RIT). During the RIT, all the necessary elements to satisfy the PNU2 definition were present in a separate IWP using the blood specimen positive for MRSA. This meets Scenario 2 for attributing bloodstream infections as secondary in which the organism in the blood specimen is an element used to meet the NHSN site-specific infection criterion. Q10 of CDC’s FAQs: Pneumonia (PNEU) Events highlights this exact scenario that was observed for this facility and is a great resource for further information.

References

References

AHRQ Agency for Healthcare Research and Quality. Estimating the additional hospital inpatient cost and mortality associated with selected hospital-Acquired conditions. (2017, November). Retrieved from https://www.ahrq.gov/hai/pfp/haccost2017-results.html

AHRQ Agency for Healthcare Research and Quality Patient Safety Network. Patient Safety 101. Health Care - Associated Infections. (2019, September 7). Retrieved from https://psnet.ahrq.gov/primer/health-care-associated-infections

Anderson, D. J., Podgorny, K., Berríos-Torres, S. I., Bratzler, D. W., Dellinger, E. P., Greene, L., Nyquist, A.-C., Saiman, L., Yokoe, D. S., Maragakis, L. L., & Kaye, K. S. (2014). Strategies to prevent surgical site infections in acute care hospitals: 2014 update. Infection Control and Hospital Epidemiology, 35(6), 605–627. https://doi.org/10.1086/676022

Calfee, D. P., Salgado, C. D., Milstone, A. M., Harris, A. D., Kuhar, D. T., Moody, J., Aureden, K., Huang, S. S., Maragakis, L. L., & Yokoe, D. S. (2014). Strategies to prevent Methicillin-Resistant Staphylococcus aureus transmission and infection in acute care hospitals: 2014 update. Infection Control and Hospital Epidemiology, 35(7), 772–796. https://doi.org/10.1086/676534

Centers for Disease Control and Prevention. (2012, March 6). Making health care safer - Stopping C. difficile infections. Retrieved from https://www.cdc.gov/vitalsigns/pdf/2012-03-vitalsigns.pdf

Centers for Disease Control and Prevention. (2015, October 16). Catheter-Associated urinary tract infections (CAUTI). Retrieved from https://www.cdc.gov/hai/ca_uti/uti.html

Centers for Disease Control and Prevention. (2018, October 5). Healthcare associated infections (HAIs): HAI data. Retrieved from https://www.cdc.gov/hai/data/index.html

Centers for Disease Control and Prevention. (2019, December). Antibiotic resistance threats 2019. Retrieved from https://www.cdc.gov/drugresistance/pdf/threats-report/2019-ar-threats-report-508.pdf

Centers for Disease Control and Prevention. (2020, January 7). Dialysis safety. Retrieved from https://www.cdc.gov/dialysis/

Centers for Disease Control and Prevention. (2022a, November 4). 2021 National and state healthcare-Associated infections progress report. Retrieved from https://www.cdc.gov/hai/data/archive/2021-HAI-progress-report.html

Centers for Disease Control and Prevention. (2022b, September 7). C. diff (Clostridioides difficile). Retrieved from https://www.cdc.gov/cdiff/index.html

Centers for Disease Control and Prevention. (2023, December 1). 2022 National and State Healthcare-Associated Infections Progress Report. Retrieved from https://www.cdc.gov/hai/data/portal/progress-report.html

CDC National Healthcare Safety Network (NHSN). (2023a). Patient safety component. Retrieved from http://www.cdc.gov/nhsn/

CDC National Healthcare Safety Network (NHSN). (2023b). Surgical site infection event (SSI). Retrieved from https://www.cdc.gov/nhsn/pdfs/pscmanual/9pscssicurrent.pdf

Dubberke, E. R., Carling, P., Carrico, R., Donskey, C. J., Loo, V. G., McDonald, L. C., Maragakis, L. L., Sandora, T. J., Weber, D. J., Yokoe, D. S., & Gerding, D. N. (2014). Strategies to prevent Clostridium difficile infections in acute care hospitals: 2014 update. Infection Control and Hospital Epidemiology, 35(6), 628–645. https://doi.org/10.1086/676023

Marschall, J., Mermel, L. A., Fakih, M., Hadaway, L., Kallen, A., O’Grady, N. P., Pettis, A. M., Rupp, M. E., Sandora, T., Maragakis, L. L., & Yokoe, D. S. (2014). Strategies to prevent central line–Associated bloodstream infections in acute care hospitals: 2014 update. Infection Control and Hospital Epidemiology, 35(7), 753–771. https://doi.org/10.1086/676533

Moriyama, K., Ando, T., Kotani, M., Tokumine, J., Nakazawa, H., Motoyasu, A., Yorozu, T., (2022). Risk factors associated with increased incidences of catheter-related bloodstream infection. Medicine 101(42):p e31160, October 21, 2022. https://doi.org/10.1097/MD.0000000000031160

Scott, R. D., Culler, S. D., Rask, K. J., (2019). Understanding the economic impact of health care-associated infections: A cost perspective analysis. The Art and Science of Infusion Nursing, 42(2), 61-69. https://doi.org/10.1097/NAN.0000000000000313

Spigaglia P. (2016). Recent advances in the understanding of antibiotic resistance in Clostridium difficile infection. Therapeutic advances in infectious disease, 3(1), 23–42. https://doi.org/10.1177/2049936115622891

Turner, N.A., Sharma-Kuinkel, B. K., Maskarinec, S. A., Eichenberger, E. M., Shah, P. P., Carugati, M., Holland, T. L., Fowler, V. G. (2019). Methicillin-Resistant Staphylococcus aureus: an overview of basic and clinical research. Nature Reviews Microbiology, 17, 203–218 (2019). https://doi.org/10.1038/s41579-018-0147-4

U.S. Department of Health & Human Services. (2022, December 7). National action plan to prevent health care associated infections: Road map to elimination. Retrieved from https://www.hhs.gov/oidp/topics/health-care-associated-infections/hai-action-plan/index.html

Wu, H., Soe, M. M., Konnor, R., Dantes, R., Haass, K., Dudeck, M. A., Gross, C., Leaptrot, D., Sapiano, M. R. P., Allen-Bridson, K., Wattenmaker, L., Peterson, K., Lemoine, K., Chernetsky Tejedor, S., Edwards, J. R., Pollock, D., Benin, A. L., & National Healthcare Safety Network (2022). Hospital capacities and shortages of healthcare resources among US hospitals during the coronavirus disease 2019 (COVID-19) pandemic, National Healthcare Safety Network (NHSN), March 27-July 14, 2020. Infection control and hospital epidemiology, 43(10), 1473–1476. https://doi.org/10.1017/ice.2021.280

Acknowledgements

Acknowledgements

Prepared by:
Devin Beard, Jacob Anderson, Charisse Schenk, Ashley Young, April Clements

Division of Population Health
  Healthcare-associated infections and antimicrobial resistance program  
  Utah Department of Health and Human Services  


Special thanks to the following individuals for their subject matter expertise, data resources, editing, and consultations:

Utah Department of Health and Human Services

Executive Director      
Tracy Gruber

Healthcare-associated infections and antimicrobial resistance program:
Alex Coombs, BSN, RN, CIC Danene Price, BSN, RN
Angela Weil, APRN/MSN, CIC Devin Beard, MPH
April Clements, BSN, RN, CIC Giulia De Vettori, MPH, CPH
Ashley Young, MAS, CHES Janelle Kammerman, BS
Bea Jensen, BSN, RN, CIC Jacob Anderson, MPH
Charisse Schenk, MPH, CPH, CHES Jonny Griffith, RN
Chrissy Radloff, MS, RN, CIC Linda Rider, BSN, RN, CIC

Utah Hospitals

      Chief executive officers  
      Infection preventionists  
      Chief medical officers  
      Chief nursing officers  
      Quality improvement directors  


Suggested Citation:
Utah Department of Health and Human Services. (2024, April). 2022 Annual Healthcare-Associated Infections in Utah. Retrieved from https://epi.utah.gov/wp-content/uploads/2022_HAI_Report.html