Could the prevention of health care-associated infections increase hospital cost? The financial impact of health care-associated infections from a hospital management perspective

Surgical site infection in pediatric spinal fusion surgery revisited: outcome and risk factors after preventive bundle implementation

Background

Surgical site infections (SSI) contribute to significant morbidity, mortality, length of stay, and financial burden. We sought to evaluate the incidence and risk factors of surgical site infection following pediatric spinal fusion surgery in patients for whom standard perioperative antibiotic prophylaxis and preventive strategies have been implemented.

Methods

We conducted a retrospective study of children aged <18 years who underwent spinal fusion surgery from January 2017 to November 2021 at a quaternary academic pediatric medical center. Univariable analysis was used to evaluate associations between potential risk factors and SSI.

Results

Of 1111 patients, 752 (67.6%) were female; median age was 14.2 years. SSI occurred in 14 patients (1.3%). Infections were superficial incisional (n=2; 14.3%), deep incisional (n=9; 64.3%), and organ/space (n=3; 21.4%). Median time to SSI was 14 days (range, 8 to 45 days). Staphylococcus aureus and Escherichia coli were the most frequently-isolated bacteria. Potential risk factors for SSIs included low body weight (Odds ratio (OR) 0.96, 95% confidence interval (CI) 0.93-0.99, p=0.026), ASA classification of ≥3 (OR 24.53, 95%CI 3.20-188.22, p=0.002), neuromuscular scoliosis (OR 3.83, 95%CI 3.82-78.32, p<0.001), prolonged operative time (OR 1.56, 95%CI 1.28-1.92, p<0.001), prolonged anesthetic time (OR 1.65, 95%CI 1.35-2.00, p<0.001), administration of prophylactic antibiotic ≥60 minutes before skin incision (OR 11.52, 95%CI 2.34-56.60, p=0.003), and use of povidone-iodine alone for skin preparation (OR 5.97, 95%CI 1.27-28.06, p=0.024).

Conclusion

In the context of a robust bundle for SSI prevention; low body weight, ASA classification of ≥3, neuromuscular scoliosis, prolonged operative and anesthetic times, administration of prophylactic antibiotic ≥60 minutes before skin incision, and use of povidone-iodine alone for skin preparation increased the risk of SSI. Administration of prophylactic antibiotic within 60 minutes of skin incision, strict adherence to high-risk preventive protocol, and use of CHG-alcohol could potentially reduce the rate of SSI.

An Overview of Healthcare Associated Infections and Their Detection Methods Caused by Pathogen Bacteria in Romania and Europe

Healthcare-associated infections can occur in different care units and can affect both patients and healthcare professionals. Bacteria represent the most common cause of nosocomial infections and, due to the excessive and irrational use of antibiotics, resistant organisms have appeared. The most important healthcare-associated infections are central line-associated bloodstream infections, catheter-associated urinary tract infections, surgical site, soft tissue infections, ventilator-associated pneumonia, hospital acquired pneumonia, and Clostridioides difficile colitis. In Europe, some hospitalized patients develop nosocomial infections that lead to increased costs and prolonged hospitalizations. Healthcare-associated infection prevalence in developed countries is lower than in low-income and middle-income countries such as Romania, an Eastern European country, where several factors contribute to the occurrence of many nosocomial infections, but official data show a low reporting rate. For the rapid identification of bacteria that can cause these infections, fast, sensitive, and specific methods are needed, and they should be cost-effective. Therefore, this review focuses on the current situation regarding healthcare-associated infections in Europe and Romania, with discussions regarding the causes and possible solutions. As a possible weapon in the fight against the healthcare-associated infections, the diagnosis methods and tests used to determine the bacteria involved in healthcare-associated infections are evaluated.

Enabling Antibacterial and Antifouling Coating via Grafting of a Nitric Oxide-Releasing Ionic Liquid on Silicone Rubber

Infections caused by bacteria and biofilms on the surfaces of biomedical devices and implants pose serious threats to public health. Herein, a nitric oxide (NO) gas-releasing quaternary ammonium-type ionic liquid (IL)-based coating on polydimethylsiloxane (PDMS), PDIL-NO, with effective and long-acting antibacterial and antifouling properties was prepared. N-(2-((2, 3-Dimethylbut-3-enoyl)oxy)ethyl)-N, N-dimethyloctan-1-aminium bromide (IL-Br), and 2-methyl-2-propenoic acid 2-(2-methoxyethoxy) ethyl ester were covalently grafted onto the surfaces of PDMS by a thiol-ene click chemical reaction, followed by incorporation of l-proline anions (Pro^-) through anion exchange with Br^- to adsorb NO gas. The prepared PDIL-NO showed a prolonged NO-releasing time (>1440 min) and a relatively high concentration (88 μM). Additionally, PDIL-NO possessed good and long-term antimicrobial activity, and could effectively reduce the adsorption of bovine serum albumin and adhesion of bacteria, as well as inhibit wound infection and reduce inflammation in vivo due to the synergetic effect of IL and the released NO. This study may provide a new approach to combat bacterial infections associated with biomedical devices and implants.

Review of decontamination protocols for shared non-critical objects in 35 policies of UK NHS Acute Care Organisations

BACKGROUND

Decontamination of non-critical objects shared by patients is key in reducing HAIs, but it is a complex process that needs precise guidance from UK NHS Acute Care Organisations (ACOs).

AIM

To review the indications given by NHS ACOs' policies regarding the decontamination of shared non-critical devices.

METHODS

Detailed lists of decontamination protocols for shared non-critical objects were retrieved from cleaning, disinfection, and decontamination policies of 35 NHS ACOs. Three parameters were considered for each object: decontamination method, decontamination frequency and person responsible for decontamination.

FINDINGS

1279 decontamination protocols regarding 283 different shared non-critical objects were retrieved. 689 (54%) did not indicate the person responsible for decontamination, while only 425 (33%), were complete, giving indications for all three parameters analysed. Only 2.5% (32/1279) decontamination protocols were complete and identical in two policies. In policies where cleaning represented the major decontamination method, chemical disinfection was rarely mentioned and vice versa. A general agreement among policies can be found for four main decontamination methods (detergent and water, detergent wipes, disinfectant wipes, use of disposable items), two decontamination frequencies (between events, daily) and two responsible person designations (nurses, domestic staff).

CONCLUSIONS

Decontamination protocol policies for shared non-critical objects had some similarities but did not concur on how each individual object should be decontaminated. The lack of clear indications regarding the person responsible for the decontamination process put at risk the ability of policies to serve as guidance.

The impact of infections on reimbursement in 92 US hospitals, 2015-2018

BACKGROUND

The diagnosis-related group (DRG) is a payment system introduced to standardize healthcare costs. However, reimbursement for treatment of infections does not always cover costs.

METHODS

We used 2015-2018 data from 92 US hospitals in the Becton Dickinson Insights Research Database to compare the financial burden of hospital admissions within non-infection DRGs for patients with a bacterial infection (INF+) versus those without an infection (INF-). Included patients were adults with a hospital length of stay (LOS) ≥3 days and evidence of infection. Multi-variable adjusted analyses via generalized linear mixed models were used to evaluate the impact of an infection on outcomes.

RESULTS

We analyzed data from 133,423 INF+ admissions and 170,531 INF- admissions. Infections were associated with an approximately two-fold increase in model-estimated LOS (9.2 vs 4.8 d; P < .001) and intensive care unit LOS (5.1 vs 2.8 d; P < .001). The average additional hospital cost for INF+ versus INF- admissions was $10,326 per admission (P < .001) and the average loss after reimbursement was $1,067 (P = .006). Only private insurance payers had a positive margin.

CONCLUSIONS

Current reimbursement options for infections result in significant hospital financial burden. Reimbursement models should be reconsidered to enable adoption of costlier diagnostics and antimicrobials.