Health care-associated infection surveillance system in Iran: Reporting and accuracy

High prevalence of multidrug-resistant Enterobacterales carrying extended-spectrum beta-lactamase and AmpC genes isolated from neonatal sepsis in Ahvaz, Iran

OBJECTIVES

In the recent years, multidrug resistant (MDR) neonatal septicemia-causing Enterobacterales has been dramatically increased due to the extended-spectrum beta-lactamases (ESBLs) and AmpC enzymes. This study aimed to assess the antibiotic resistance pattern, prevalence of ESBLs/AmpC beta-lactamase genes, and Enterobacterial Repetitive Intergenic Consensus Polymerase Chain Reaction (ERIC-PCR) fingerprints in Enterobacterales isolated from neonatal sepsis.

RESULTS

In total, 59 Enterobacterales isolates including 41 (69.5%) Enterobacter species, 15 (25.4%) Klebsiella pneumoniae and 3 (5.1%) Escherichia coli were isolated respectively. Resistance to ceftazidime and cefotaxime was seen in all of isolates. Furthermore, all of them were multidrug-resistant (resistant to three different antibiotic categories). The phenotypic tests showed that 100% of isolates were ESBL-positive. Moreover, AmpC production was observed in 84.7% (n = 50/59) of isolates. Among 59 ESBL-positive isolates, the highest percentage belonged to blaCTX-M-15 gene (66.1%) followed by blaCTX-M (45.8%), blaCTX-M-14 (30.5%), blaSHV (28.8%), and blaTEM (13.6%). The frequency of blaDHA, blaEBC, blaMOX and blaCIT genes were 24%, 24%, 4%, and 2% respectively. ERIC-PCR analysis revealed that Enterobacterales isolates were genetically diverse. The remarkable prevalence of MDR Enterobacterales isolates carrying ESBL and AmpC beta-lactamase genes emphasizes that efficient surveillance measures are essential to avoid the more expansion of drug resistance amongst isolates.

External and internal validation of healthcare-associated infection data collected by the Korean National healthcare-associated Infections Surveillance System (KONIS)

BACKGROUND

This study analyzed the validity of healthcare-associated infection (HAI) data of the Korean National healthcare-associated Infections Surveillance System.

METHODS

The validation process consisted of external (EV) and internal (IV) validation phases. Of the 193 hospitals that participated from July 2016 through June 2017, EV was performed for 10 hospitals that were selected based on the HAI rate percentile. The EV team reviewed 295 medical records for 60 HAIs and 235 non-HAI control patients. IV was performed for both the 10 EV hospitals and 11 other participating hospitals that did not report any HAIs.

RESULTS

In the EV, the diagnosis of urinary tract infections had a sensitivity of 72.0% and a specificity of 99.3%. The respective sensitivities of bloodstream infection and pneumonia were 63.2% and 70.6%; the respective specificities were 98.8% and 99.6%. The agreement (ĸ) between the EV and IV for 10 hospitals was 0.754 for urinary tract infections and 0.674 for bloodstream infections (P < .001, respectively). Additionally, IV found additional cases among 11 zero-report hospitals.

DISCUSSION

This study demonstrates the need for ongoing validation and continuous training to maintain the accuracy of nationwide surveillance data.

CONCLUSIONS

IV should be considered a validation method to supplement EV.

Effectiveness of implementing of an infection control link nurse program to improve compliance with standard precautions and hand hygiene among nurses: a quasi-experimental study

BACKGROUND

Standard precautions (SPs) including hand hygiene are considered fundamental protective measures to manage health care-associated infections (HCAIs) and to reduce occupational health hazards. The purpose of this research was to examine the effectiveness of an infection control link nurse (ICLN) program on compliance with SPs and hand hygiene among nurses.

METHODS

A quasi-experimental study with a pretest-post-test design was conducted with participating of 154 clinical nurses who worked in different wards of a tertiary referral teaching hospital in Iran. The intervention group (n = 77) had 16 infection control link nurses nominated. The control group (n = 77) received only the standard multimodal approach used in the hospital. Pre- and post-test assessment of compliance with standard precautions and hand hygiene compliance was performed via the Compliance with Standard Precautions Scale (CSPS) and the World Health Organization observational hand hygiene form. Two independent sample t-tests were used to examine differences between Compliance with Standard Precautions and hand hygiene Compliance among nurses in intervention and control group. Multiple linear regression analysis was used to assess the effect size.

RESULTS

After developing and implementing the infection control link nurse program, no statistically significant improvement was found in the Compliance with Standard Precautions (β = 5.18; 95% CI= -0.3-10.65, p = 0.064). An improvement in hand hygiene compliance was observed among nurses in the intervention group that improved statistically significant from 18.80% before the program to 37.32% 6 months after the program (β = 20.82; 95% CI 16.40-25.25, p < 0.001).

CONCLUSIONS

Given the continuing level of interest that exists in improving health care workers' hand hygiene practices, the findings of this study provide significant practical implications for hospitals seeking to improve compliance with hand hygiene among nurses, showing the effectiveness of using infection control link nurse program. Further research is needed to assess effectiveness of using infection control link nurse program to improve compliance with standard precautions.

Incidence, accuracy, and barriers of diagnosing healthcare-associated infections: a case study in southeast Iran

BACKGROUND

Healthcare-associated infections (HAIs) are a threat to patients. Accurate surveillance is required to identify and prevent HAIs. To estimate the incidence rate, report the accuracy and identify the barriers of reporting HAIs using a mixed-method study.

METHODS

In this quantitative study, we externally evaluated the incidence rate and accuracy of the routine surveillance system in one of the main hospitals by an active follow-up of patients from September to December 2021. We used in-depth interviews with 18 experts to identify the barriers of the routine surveillance system.

RESULTS

Among 404 hospitalized patients, 88 HAIs were detected. The estimated rate of HAIs was 17.1 (95% Confidence Intervals 95: 14.1, 21.1) per 1000 patient-days follow-up. However, in the same period, 116 HAIs were reported by the routine surveillance system, but the agreement between the two approaches was low (sensitivity = 61.4%, specificity = 82.6%, negative predictive value = 89.7%, and positive predictive validity = 46.5%). The minimum and maximum positive predictive values were observed in urinary tract infection (32.3%) and surgical site infection (60.9%). The main barrier of reporting HAIs was lack of cooperation in reporting HAIs by infection control link nurses and laboratory supervisors.

CONCLUSIONS

The discrepancy between the longitudinal study findings and the routine surveillance might be related to the inaccessibility of the surveillance system to clinical information of patients. In this regard, decreasing the barriers, increasing the knowledge of infection control nurses and other nurses, as well as the development of hospital information systems are necessary.

Effect of a real-time automatic nosocomial infection surveillance system on hospital-acquired infection prevention and control

Background

The systematic collection of valid data related to hospital-acquired infections (HAIs) is considered effective for nosocomial infection prevention and control programs. New strategies to reduce HAIs have recently fueled the adoption of real-time automatic nosocomial infection surveillance systems (RT-NISSs). Although RT-NISSs have been implemented in some hospitals for several years, the effect of RT-NISS on HAI prevention and control needs to be further explored.

Methods

A retrospective, descriptive analysis of inpatients from January 2017 to December 2019 was performed. We collected hospital-acquired infection (HAI) cases and multidrug resistant organism (MDRO) infection cases by traditional surveillance in period 1 (from January 2017 to December 2017), and these cases were collected in period 2 (from January 2018 to December 2018) and period 3 (from January 2019 to December 2019) using a real-time nosocomial infection surveillance system (RT-NISS). The accuracy of MDRO infection surveillance results over the 3 periods was examined. The trends of antibiotic utilization rates and pathogen culture rates in periods 2 and 3 were also analysed.

Results

A total of 114,647 inpatients, including 2242 HAI cases, were analysed. The incidence of HAIs in period 2 was significantly greater than that in period 1 (2.28% vs. 1.48%, χ2 = 61.963, p < 0.001) and period 3 (2.28% vs. 2.05%, χ2 = 4.767, p = 0.029). The incidence of five HAI sites, including respiratory infection, urinary tract infection (UTI), surgical site infection (SSI), bloodstream infection (BSI) and skin and soft tissue infection, was significantly greater in period 2 compared with period 1 (both p < 0.05) but was not significantly different from that in period 3. The incidence of hospital-acquired MDRO infections in period 3 was lower than that in period 2. The identification of MDRO infection cases using the RT-NISS achieved a high level of sensitivity (Se), specificity (Sp), positive predictive value (PPV) and negative predictive value (NPV), especially in period 3 (Se = 100%, Sp = 100%, PPV = 100% and NPV = 100%).

Conclusion

The adoption of a RT-NISS to adequately and accurately collect HAI cases is useful to prevent and control HAIs. Furthermore, RT-NISSs improve accuracy in MDRO infection case reporting, which can timely and accurately guide and supervise clinicians in implementing MDRO infection prevention and control measures.

Challenges of and corrective recommendations for healthcare-associated infection's case findings and reporting from local to national level in Iran: a qualitative study

Background

The accuracy of health care−associated infections (HAIs) statistics in many countries is questionable and the main reasons of this inaccuracy are not well-known. The study aim was to explore inhibitors of and corrective recommendations for HAIs case findings and reporting in some of Iran hospitals.

Methods

Sixteen face-to-face interviews and an expert panel were performed with expertise of infection prevention and control (IPC) programs in hospitals, and Deputies of Health and Treatment in medical university and Ministry of Health from Feb 2018 to May 2019. Using conventional content analysis, code, subcategories and categories were developed.

Result

Three categories emerged including improper structure preparation, conflict of interest, and inadequate motivation. Allocating distinct budget and adequate staff to IPC programs, developing a user-friendly surveillance system and engaging physicians and nurses for HAIs reporting are the main corrective recommendations accepted by the expert panel.

Conclusion

Despite the improvement in growing case-findings and reporting of HAIs in Iran, there are many challenges which inhibit accurate case finding and reporting of HAIs. So it is necessary to update the structure, system and rules to reach accurate HAIs data in Iran.

Epidemiologic characteristics of orthopedic surgical site infections and under-reporting estimation of registries using capture-recapture analysis

Background

Surgical Site Infections (SSIs) are among the leading causes of the postoperative complications. This study aimed at investigating the epidemiologic characteristics of orthopedic SSIs and estimating the under-reporting of registries using the capture-recapture method.

Methods

This study, which was a registry-based, cross-sectional one, was conducted in six educational hospitals in Tehran during a one-year period, from March, 2017 to March, 2018. The data were collected from two hospital registries (National Nosocomial Infection Surveillance System (NNIS) and Health Information Management database (HIM)). First, all orthopedic SSIs registered in these sources were used to perform capture-recapture (N = 503). Second, 202 samples were randomly selected to assess patients` characteristics.

Results

Totally, 76.24% of SSIs were detected post-discharge. Staphylococcus aureus (11.38%) was the most frequently detected bacterium in orthopedic SSIs. The median time between the detection of a SSI and the discharge was 17 days. The results of a study done on 503 SSIs showed that the coverage of NNIS and HIM was 59.95 and 65.17%, respectively. After capture-recapture estimation, it was found that about 221 of orthopedic SSIs were not detected by two sources among six hospitals and the real number of SSIs were estimated to be 623 ± 36.58 (95% CI, 552–695) and under-reporting percentage was 63.32%.

Conclusion

To recognize the trends of SSIs mortality and morbidity in national level, it is significant to have access to a registry with minimum underestimated data. Therefore, according to the weak coverage of NNIS and HIM among Iranian hospitals, a plan for promoting the national Infection Prevention and Control (IPC) programs and providing updated protocols is recommended.