Surveillance of Salmonella spp. in the environment of public hospitals in KwaZulu-Natal, South Africa

AIM

To investigate the dissemination of Salmonella spp. within four levels of government hospitals in KwaZulu-Natal, South Africa.

METHODS

The identification of Salmonella spp. was performed by amplification of the invA gene. Isolates were subjected to antimicrobial susceptibility testing and molecular characterization of eight resistance genes (qnrA, qnrB, qnrS, tetA, tetB, tetC, tetG, ermB) and three virulence genes (sitC, spvA, spv). Genetic relatedness between isolates was determined using enterobacterial repetitive intergenic consensus (ERIC) polymerase chain reaction.

FINDINGS

Ninety-four isolates were obtained. The largest source of isolates was the regional hospital. Paediatric wards had the highest prevalence of isolates. Nurses' tables contained the most isolates out of all sites sampled. Twenty-two clusters indicating diverse isolates were obtained via molecular typing. Four main ERIC types were identified, each unique to a specific hospital. A possibility of dissemination across the wards was noted as highly related isolates were present at various sites within the wards. Many of these sites were highly trafficked areas by healthcare staff. Ten multi-drug-resistant isolates were found.

CONCLUSIONS

This study suggests that infection prevention and control strategies that involve environmental cleaning and decontamination may not be enough, or adhered to sufficiently, to prevent the dissemination of Salmonella spp.

Beyond patient care: the impact of healthcare reform on job satisfaction in the Ethiopian public healthcare sector

BACKGROUND

While healthcare reform has been a central attention for local governments, its impact on job satisfaction is poorly understood. This study aimed to determine the impact of healthcare reform on job satisfaction in the public healthcare sector in Ethiopia.

METHODS

The study was designed as a facility-based cross-sectional survey of healthcare professionals and carried out in all public hospitals in central Ethiopia which have been implementing healthcare reform (n = 5). All healthcare professionals in the hospitals who were involved in the reform from the inception (n = 476) were purposively sourced to complete a self-administered questionnaire adapted from a framework proposed for measuring job satisfaction of health professionals in sub-Saharan Africa. Kaiser-Meyer-Olkin and Bartlett's tests were conducted to measure sampling adequacy and sphericity for factor analysis. Likert's transformation formula was used to numerically analyse the satisfaction level of the respondents and to determine the cut-off value of satisfaction levels. Non-parametric and multiple logistic regression analysis were conducted to determine predictors of job satisfaction.

RESULTS

A total of 410 healthcare professionals completed the survey, representing an 88% response rate. The median and mean job satisfaction scores were 50 and 49, respectively, on a scale 1-100, which was equivalent to 'Job dissatisfied' on the Likert scale. Only 25% of respondents perceived job satisfaction due to implementation of the reform. Moral satisfaction (adjusted odds ratio (aOR), 177.65; 95% confidence interval (CI), 59.54-530.08), management style (aOR, 4.02; 95% CI, 1.49-10.83), workload (aOR, 2.42; 95% CI, 0.93-6.34), and task (aOR, 5.49; 95% CI, 2.31-13.07) were the most significant predictors. Job satisfaction results were significantly different among the study hospitals (χ ² = 30.56, p < .001).

CONCLUSIONS

The healthcare reform significantly and negatively influences public healthcare professionals' job satisfaction and its overall impact on job satisfaction was poor, which would hinder the 'Health Sector Transformation' movement of Ethiopia. Healthcare reform efforts are contingent on job satisfaction of healthcare professionals, and such efforts should balance the demand and supply of both patients and providers for improved healthcare outcomes.