Community- and Hospital-Acquired Infections in Surgical patients at a Tertiary Referral Hospital in Rwanda

Risk Factors of Infections Due to Multidrug-Resistant Gram-Negative Bacteria in a Community Hospital in Rural Thailand

Antimicrobial resistance is a major public health concern globally. The most serious antimicrobial resistance problem among pathogenic bacteria is multidrug resistance (MDR). The objectives of this study were to investigate the risk factors of MDR infections and to develop a risk assessment tool for MDR Gram-negative bacteria (MDR-GNB) infections at a community hospital in rural Thailand. The study revealed 30.77% MDR-GNB among GNB strains. The most common MDR-GNB strains were 63.02% for Escherichia coli and 11.46% for Klebsiella pneumoniae. A case-control study was applied to collect clinical data between January 2016 and December 2020. Univariate logistic regression and multivariate logistic regression were used to analyze the risk factors for MDR-GNB and a risk assessment score for each factor was determined based on its regression coefficient. The risk factors for MDR-GNB infections were as follows: the presence of Enterobacteriaceae that produce extended-spectrum beta-lactamase (ESBL) (OR_Adj. 23.53, 95% CI 7.00-79.09), infections occurring within the urinary tract (OR_Adj. 2.25, 95% CI 1.44-3.53), and patients with a history of steroid usage (OR_Adj. 1.91, 95% CI 1.15-3.19). Based on the assigned risk scores for each associated factor, the newly developed risk assessment tool for MDR-GNB infections achieved 64.54% prediction accuracy (AUC-ROC 0.65, 95% CI 0.61-0.68), demonstrating that the tool could be used to assess bacterial infection cases in community hospitals. Its use should provide practical guidance on MDR evaluation and prevention. This study was part of an antibiotic stewardship program; the study surveyed antibiotic-resistant situations in a hospital and implemented an effective risk assessment tool using key risk factors of MDR-GNB infections.

Costs Associated With Surgical Infections at a Tertiary Referral Hospital in Rwanda

INTRODUCTION

In low-income and middle-income countries, there is a high demand for surgical care, although many individuals lack access due to its affordability, availability, and accessibility. Costs are an important metric in healthcare and can influence healthcare access and outcomes. The aim of this study was to determine the financial impact of infections in acute care surgery patients and factors associated with inability to pay the hospital bill at a Rwandan referral hospital.

MATERIALS AND METHODS

This was a prospective observational study of acute care surgery patients at a tertiary referral hospital in Rwanda with infections. Data were collected on demographics, clinical features, hospital charges, and expenses. Factors associated with inability to pay the hospital bill were analyzed using Chi-squared and Wilcoxon rank sum tests.

RESULTS

Over 14 mo, 191 acute care surgery patients with infections were enrolled. Most (n = 174, 91%) patients had health insurance. Median total hospital charges were 414.24 United States Dollars (interquartile range [IQR]: 268.20, 797.48) and median patient charges were 41.53 USD (IQR: 17.15, 103.09). At discharge, 53 (28%) patients were unable to pay their hospital bill. On a univariate analysis actors associated with inability to pay the bill included transportation via ambulance, occupation as a farmer, diagnosis, complications, surgical site infection, and length of hospital stay. On a multivariable analysis, intestinal obstruction (adjusted odds ratio 4.56, 95% confidence interval 1.16, 17.95, P value 0.030) and length of hospital stay more than 7 d (adjusted odds ratio 2.95, 95% confidence interval 1.04, 8.34, P value 0.042) were associated with inability to pay the final hospital bill.

CONCLUSIONS

Although there is broad availability of health insurance in Rwanda, hospital charges and other expenses remain a financial burden for many patients seeking surgical care. Further innovative efforts are needed to mitigate expenses and minimize financial risk.