Summary report

Column

Executive summary



Healthcare-associated infections (HAIs) are infections patients get while being treated for another health issue in a healthcare setting, like a hospital or nursing home. The Utah Department of Health and Human Services (DHHS) works with partners to track and prevent these infections because they are a threat to patient safety and cost a lot 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 and report this data to the public each year.

This report draws from HAI data reported to the National Healthcare Safety Network (NHSN) by Utah acute care hospitals (ACHs), long-term acute care hospitals (LTACHs), inpatient rehabilitation facilities (IRFs), and dialysis facilities. The data is compared between years, between facility types, and between Utah and the U.S.

Reportable HAIs include:

  • 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)

Key details from this report:

  • Critical access hospitals (CAHs) have been removed from the dataset, which impacts the denominator of several measures. However, this improved data accuracy and interpretation.
  • A slight increase in dialysis bloodstream infections (BSI) was observed in Utah. However, the increase is likely due to DHHS outreach to facilities to make sure their NHSN data is shared.
  • It was discovered that individual dialysis facilities lack local NHSN expertise and need support from DHHS to address resulting challenges.

Data highlights: A number of trends have been noted in Utah, and while not significant, do suggest important changes. Specifically:

  • CAUTIs in Utah decreased for the third year in a row.
  • Hysterectomy-associated SSIs in Utah increased for the second year running.
  • MRSA bacteremia infections in Utah increased in 2023, after a 3 year decrease.


The DHHS Healthcare-associated Infections and Antimicrobial Resistance (HAI/AR) program will continue to track and respond to outbreaks, analyze data, improve education, and promote policy change. The program’s NHSN staff will also increase outreach to NHSN-reporting facilities, particularly dialysis centers.

 

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

The 2023 annual HAI report was developed using guidance from the Utah healthcare infection prevention governance committee (UHIP-GC). UHIP-GC is a multi-disciplinary panel of state leaders in patient safety, infectious diseases, and infection control. This report provides an update for past HAI reports and details our progress toward the goal of reduction and, hopefully, prevention of HAIs.

One goal of the Utah Department of Health and Human Services (DHHS) Healthcare-associated Infections and Antimicrobial Resistance (HAI/AR) program is to help Utah patients receive the best and safest care. Statewide HAI prevention efforts are an essential part of a complete patient safety program. Publicly released HAI data is an important step to create transparency 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 key elements of HAI elimination are 1) accurate data collection to evaluate our impact, and 2) share the results with healthcare providers and the public. Focused efforts in data reporting help improve HAI prevention efforts.

Healthcare facilities are required by the Centers for Medicare & Medicaid Services (CMS) to self-report HAI data to the National Healthcare Safety Network (NHSN). DHHS analyzes the data to provide comparisons using proven statistical methods. This report lets Utahns compare HAIs between Utah and the U.S. in 4 healthcare settings. These healthcare settings are: -acute care hospitals (ACHs) -long-term acute care hospitals (LTACHs) -inpatient rehabilitation facilities (IRFs) -dialysis facilities

It should be noted that past annual reports included critical access hospitals (CAHs) as a healthcare setting. The CMS does not require CAHs to report HAIs and including CAH data shifted overall trends. To improve the data and analysis, CAHs have been removed from the dataset this year. Resulting changes to the data are noted, when appropriate.

HAIs are a major threat to patient safety that can often be avoided. Thank you to all the healthcare workers and facilities in Utah who work to protect patients and healthcare staff from preventable infections.

Angela Weil, APRN


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

How to read this report

Welcome to the 2023 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.

What is the national baseline?

Data reported to the National Healthcare Safety Network (NHSN) by all facilities during a set time period is combined to make the national baseline. The national baseline predicts the number of infections expected to happen in a hospital, state, or in the country. In the 2023 National and State Healthcare-Associated Infections Progress Report, the number of predicted infections is an estimate tailored for each facility using predictors compared to the 2015 baseline time period. HAI predictors include the number of infections in the community or the total number of patient days.

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 improve precision, SIRs are only calculated when the number of predicted infections is greater than 1. This rule was devised by NHSN to avoid calculating and interpreting statistically imprecise SIRs, which often 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 2023

Predicted to have less than one infection for the year, but had one or more infections, as defined by NHSN, in 2023

NOT statistically different from the national aggregate data

Column

2023 HAI highlights

Box 1

CLABSI

Box 2

CDI

Box 3

CDI

UT and national average comparison

CLABSI

Row

Row

Overview of CLABSI in Utah, 2023

CLABSI events by Utah facility, 2023

CAUTI

Row

Row

Overview of CAUTI events in Utah, 2023

CAUTI events by Utah facility, 2023

CDI

Row

Row

Overview of C. difficile infections in Utah, 2023

C. difficile infections by Utah facility, 2023

SSI

Row

Row

Overview of SSIs in Utah, 2023

SSIs associated with colon surgeries by Utah facility, 2023

SSIs associated with abdominal hysterectomy surgeries by Utah facility, 2023

MRSA

Row

Row

Overview of MRSA bacteremia infections in Utah, 2023

MRSA bacteremia infections by Utah facility, 2023

Dialysis BSI

Row

Row

Overview of dialysis BSI events in Utah, 2023

BSI by Utah dialysis facility, 2023

About the data

About the Data

Introduction

Background

Healthcare-associated infections (HAIs) are infections patients get during treatment for something else in a healthcare setting. A patient can get HAIs anywhere healthcare is given, including inpatient acute care hospitals (ACH), outpatient settings (out-patient 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, viruses, and less common pathogens.

Centers for Medicare & Medicaid Services (CMS) requires healthcare facilities to report HAIs to the National Healthcare Safety Network (NHSN). Reportable HAIs include:

  • central-line associated bloodstream infections (CLABSIs)
  • catheter-associated urinary tract infections (CAUTIs)
  • some surgical site infections (SSIs)
  • methicillin-resistant Staphylococcus aureus (MRSA) bacteremia infections
  • Clostridioides difficile-associated infections (CDIs).

Economic studies estimate HAI treatments cost more than $9 billion each year (Scott et al., 2019). On top of the cost of treatment, HAIs can have severe emotional, financial, and medical impacts for the person affected (HHS, 2022). Each day, approximately 1 in 31 U.S. hospitalized patients has at least 1 infection related to their care. These infections can lead to severe illness and even death. Tens of thousands of lives are lost each year, which argues the need to improve infection prevention practices in U.S. healthcare facilities (Agency for Healthcare Research and Quality [AHRQ], 2019; CDC, 2018).

The mission of the DHHS HAI/AR program is to prevent healthcare-associated infections and the spread of antimicrobial-resistant germs as we work with partners, track and respond to outbreaks, analyze data, educate medical staff, and promote policy change. HAI/AR creates this yearly report to record and analyze HAI trends in Utah healthcare facilities. The NHSN statistics calculator was used to confirm statistical significance. This calculator provides a relative ratio of SIRs, a two-tailed p-value, and a 95% confidence interval.

The information in this report has several weaknesses and should be treated as an overview of HAIs in Utah. First, the data comes from NHSN and are self-reported by healthcare facilities. DHHS has limited ability to validate this data. Also, CMS reporting rules vary for each disease/condition based on the facility type. Lastly, data does not reflect variations of illness complexity and facility settings.

2023 HAI findings in Utah and the US

HAIs may be caused by medical devices used when patients are ill, such as a central line or urinary catheter (Marschall et al., 2014). The risk of infection goes up the longer these devices are in the body (U.S. Department of Health and Human Services [HHS], 2022). In 2023, U.S. ACHs saw decreases in annual rates for CLABSIs by 13% and CAUTIs by 11% when compared with 2022 (Centers for Disease Control and Prevention [CDC], 2024a). In Utah, decreases were also seen for both CLABSIs and CAUTIs in ACHs when compared to 2022 (19% and 17%, respectively.) This decrease can also be observed when data from all location settings are combined (7% for CLABSI and 15% for CAUTIs overall). However, none of these decreases were found to be significant when compared with Utah’s 2022 data. The combined CLABSI SIR for all locations and the decrease specific to ACHs were not found to be significant in Utah (p=0.61 and p=0.16, respectively). Similarly, the combined CAUTI SIR for all locations and the decrease specific to ACHs were not found to be significant in Utah (p=0.24 and p=0.21, respectively) (CDC National Healthcare Safety Network [NHSN], 2024).

HAIs may also occur as a result of complications after a surgical procedure or when infection control practices, such as hand washing, are not followed (Anderson et al., 2014). While preventive treatment and infection control has improved, infections caused by these factors make up 20% of all HAIs nationwide (CDC NHSN, 2025). According to the 2023 National and State Healthcare-Associated Infections Progress Report, there were no significant changes in colon surgery SSIs at the national level between 2022 and 2023 (CDC, 2024a). Utah saw a 16% decrease which was not statistically significant when compared with Utah’s 2022 SIR (p= 0.37). The 2023 SIRs for abdominal hysterectomy surgery SSIs, however, increased for both Utah and the U.S. when compared to 2022 (10% and 8%, respectively) (CDC NHSN, 2024; CDC, 2024a). In Utah, this observed increase was not found to be statistically significant (p=0.76).

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 meaningful progress has been made to reduce MRSA bloodstream infections, MRSA still poses a clinical threat, with high morbidity and mortality (Turner et al., 2019). In the U.S., the number of reported MRSA bacteremia cases decreased by 16% from 2022 to 2023 (CDC, 2024a). Utah, by comparison, experienced a 10% increase though not statistically significant (p=0.69). However, it is worth noting that 23 ACHs in Utah reported 0 cases of MRSA bacteremia in 2022 (CDC NHSN, 2024).

Patients who receive medical care and take antibiotics for long periods of time are more susceptible to HAIs, such as Clostridioides difficile (CDIs). Although antibiotics effectively eliminate bacterial infections, they also attack the microbiome that protects the body against harmful infections. Antibiotic misuse and resulting 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). In addition, one in 11 patients older than age 65 with a CDI die within a month of diagnosis (CDC, 2022b). Fortunately, there was a 13% decrease in hospital onset CDIs in U.S. ACHs between 2022 and 2023 (CDC, 2024a). Utah experienced a 9% decrease; however, the difference in SIRs was not found to be statistically significant (p= 0.23) (CDC NHSN, 2024).

Patients who get dialysis treatment (a treatment for 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 needs regular access to the bloodstream. Dialysis patients may have weakened immune systems, which also increases their risk for infection (CDC, 2020). The SIRs of dialysis event bloodstream infections (BSI) saw a significant decrease from 2014 to 2019 both nationally and in Utah (CDC, 2024b; CDC NHSN, 2024). The decrease reflects the efforts of outpatient dialysis centers, federal agencies, and professional societies to equitably apply interventions across all dialysis facilities. Currently, national data on dialysis BSI SIRs is not available for 2023. However, when comparing Utah dialysis BSI event SIRs from 2022 to 2023, there was an 18% increase observed, though not statistically significant (p= 0.34) (CDC NHSN, 2024). This increase is likely because more facilities have started to share their NHSN data to the state of Utah. This is important for data accuracy in this annual report as well as to help guide where to implement targeted infection prevention efforts within the state.

Findings in this report stress the importance of action from public health and healthcare facilities to eliminate infections that commonly threaten patients, especially during times of emergent crises. DHHS will continue to track and respond to outbreaks, analyze data, improve education, and promote policy change.

How are Utah HAI data collected?

Detection of healthcare-associated infections (HAIs) requires an organized, multi-pronged approach. It is important to determine whether infections are healthcare-associated or already present when the patient is admitted to the facility. State rules require the Utah Department of Health and Human Services (DHHS) to collect and report data on HAIs because HAIs are deadly and costly.

Acute care hospitals with intensive care units began to submit data directly to the DHHS for the annual HAI report in 2008. However, reporting facilities were not identified by name. In 2011, the Centers for Medicare & Medicaid Services (CMS) required acute healthcare facilities to report specific HAI data to the National Healthcare Safety Network (NHSN) for payment reimbursement.

Utah Health Code Title 26B, Chapter 7, Section 221, Public Reporting of Healthcare Associated Infections,, was passed in 2012. This health code requires the DHHS to: a) access and analyze facility-specific NHSN data required by CMS; b) publish an annual HAI report for the public with facilities identified by name; and c) verify data is correct.

HAI data is submitted to the NHSN, a secure, online tracking system used by hospitals and other healthcare facilities. More than 38,000 hospitals and other healthcare facilities nationwide report data to NHSN. This HAI data is summarized at the national level and can then be used 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 measures 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 by Utah Title 26B-7-221 to validate the data reported to NHSN. Under guidance from the CDC, catheter-associated urinary tract infections (CAUTIs) were chosen for 2023 NHSN data validations. The focus of these validations was to gauge whether hospitals accurately report CAUTIs and monitor for these infections. The DHHS HAI/AR program did validations at hospitals and dialysis centers across Utah. Facilities were randomly chosen, as guided by the CDC’s NHSN toolkit for 2023. This helped make the sample as representative as possible.

Validations involve comparing data reported to NHSN and DHHS audit findings. Comparison results give us the chance to improve accuracy and completeness of NHSN reporting. Please note that our findings should not be applied to all healthcare facilities in Utah. Also, overall findings are not a true measure of NHSN data quality.

Procedure

An on-site medical record audit was conducted at each of the 6 acute care hospitals (ACHs) chosen. A limit of 20 patient charts were reviewed during any visit. Up to 10 of these charts were patients who had a reported CAUTI in 2023. Another 10 patients had a positive urine culture but did not meet CAUTI criteria. The purpose of these reviews was to evaluate if CAUTI criteria is correctly being used and to decide if any infections were missed. Only only identified one error in CAUTIreporting.

After the review of medical records, the HAI/AR team interviewed at least 1 member of the infection prevention staff. This interview asked about infection surveillance methods, data collection, and training and education for staff on NHSN criteria. The team discussed results with the facility to improve HAI surveillance and reporting. We also provided infection prevention and control resources to help with general staff education.

Validation conclusions

Infection prevention staff at the validated facilities correctly identified which patients met the definition for a CAUTI, using the following criteria:

  • The patient had a urine culture with 2 or fewer organisms identified. At least 1 organism had a count over 100,000 CFU/ml;
  • The patient had an indwelling urinary catheter, which had been in place for longer than 2 successive days on the day of the event;
  • The patient had signs and symptoms of a UTI during the infection window period. However, signs and symptoms could be replaced by a blood sample with at least 1 organism matching the urine sample, if all other criteria were me

Validated facilities showed a good understanding of CAUTI criteria and accurately reported most HAIs in NHSN. However, data completeness, timeliness, and accuracy can always be improved. In addition, since infection rates were still above the national target outlined in the HHS Action Plan to Prevent Healthcare-associated infections, there is still a need for strong validation programs (HHS, 2022.)

It is important to review whether infections are healthcare-associated or were already present upon admission. This information, and ensuring accuracy of HAI data, supports facilities in their work to establish infection prevention strategies to meet their needs. The validation site visit provides a time to collaborate and educate. The HAI/AR program appreciates all of the facilities chosen for a validation visit.

Other NHSN Activities

The DHHS HAI/AR program staff helped facilities who report to NHSN with technical support, education, and data correction. DHHS recorded 42 assistance events, with the majority of requests coming from dialysis facilities.

Lessons Learned

Several lessons were learned from validation visits in 2023:

  • Dialysis facilities face many challenges related to NHSN and need support from DHHS to address these challenges. Dialysis leaders often have several roles, including administrator, director of nursing, shift lead, floor nurse, infection preventionist, or human resources. A single shift can involve tasks from several of these roles. Also, the facility NHSN user is often not an RN which leaves locations without working NHSN or infection knowledge. Dialysis validations usually involve baseline education for the staff and contacting corporate leaders to obtain data.

  • Scheduling validation visits took the most time of the entire validation process. We improved reduced scheduling time by picking a target date in the initial email to a facility. This avoided the exchange of dates and times. Entering the discussion with a direct and authoritative approach encouraged facility leaders to prioritize the visit in their schedule.

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, Sarah Rigby, 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:
Angela Weil, APRN/MSN, CIC Jonny Griffith, RN
April Clements, BSN, RN, CIC Justin Morales, MPH
Bea Jensen, BSN, RN, CIC Linda Rider, BSN, RN, CIC
Chrissy Radloff, MS, RN, CIC Sarah Rigby, MPH, CPH
Devin Beard, MPH Susan Cheever, BS, CHES
Janelle Kammerman, BS Tariq Mosleh, PharmD, PhD

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). 2023 Annual Healthcare-Associated Infections in Utah. Retrieved from https://epi.utah.gov/wp-content/uploads/2022_HAI_Report.html