Performance evaluation of general public hospitals in territories of the Former Yugoslavia: An ecological study using the Pabon Lasso model.

BACKGROUND: Measuring hospital performance is an area of great importance due to limited resources. Additionally, hospital activities are vital during emergencies providing care under pressure of external factors. AIM: This study aimed at analysing performances of general public hospitals from territories of the Former Yugoslavia. METHOD: This ecological study includes 99 hospitals from 6 territories based on annual reports of institutions in charge of territorial health data. The Pabon Lasso method was used, considering hospitals in the third quadrant of the plot as top-performing in the territory. A particular focus was on performance changes during the pandemic caused by SARS-COV-2 coronavirus. RESULTS AND CONCLUSION: There is considerable heterogeneity in the length of stay, bed occupancy and turnover rate between territories. The proportion of top-performing hospitals varied between 20% and 43%, providing between 16% and 69% of inpatients episodes within the territory. However, countries did not differ in how their hospitals were distributed across the four quadrants of the Pabon Lasso plot. Comparison of Croatian and Kosovar data from 2019 to 2020 suggested a significant decrease in turnover and occupancy rates, but most hospitals retained their plot quartiles from the previous year. This supports the finding that there were no significant changes in hospital performance based on the Pabon Lasso method. The analysis showed significant room for performance improvement and highlighted the ability of the Croatian and Kosovar hospitals and their health systems to maintain efficiency during emergencies.

Integration of migrant and refugee data in health information systems in Europe: advancing evidence, policy and practice.

Coverage of migrant and refugee data is incomplete and of insufficient quality in European health information systems. This is not because we lack the knowledge or technology. Rather, it is due to various political factors at local, national and European levels, which hinder the implementation of existing knowledge and guidelines. This reflects the low political priority given to the topic, and also complex governance challenges associated with migration and displacement. We review recent evidence, guidelines, and policies to propose four approaches that will advance science, policy, and practice. First, we call for strategies that ensure that data is collected, analyzed and disseminated systematically. Second, we propose methods to safeguard privacy while combining data from multiple sources. Third, we set out how to enable survey methods that take account of the groups' diversity. Fourth, we emphasize the need to engage migrants and refugees in decisions about their own health data. Based on these approaches, we propose a change management approach that narrows the gap between knowledge and action to create healthcare policies and practices that are truly inclusive of migrants and refugees. We thereby offer an agenda that will better serve public health needs, including those of migrants and refugees and advance equity in European health systems. Funding: No specific funding received.

Efficiency and Productivity of Public Hospitals in Serbia Using DEA-Malmquist Model and Tobit Regression Model, 2015-2019.

Improving productivity within health systems using limited resources is a matter of great concern. The objectives of the paper were to evaluate the productivity, efficiency, and impact of environmental factors on efficiency in Serbian hospitals from 2015-2019. Data envelopment analysis, Malmquist index and Tobit regression were applied to hospital data from this period, and public hospitals in Serbia exhibited a great variation regarding their capacity and performance. Between five and eight hospitals ran efficiently from 2015 to 2019, and the productivity of public hospitals increased whereas technical efficiency decreased in the same period. Tobit regression indicated that the proportion of elderly patients and small hospital size (below 200 beds) had a negative correlation with technical efficiency, while large hospital size (between 400 and 600 beds), the ratio of outpatient episodes to inpatient days, bed turnover rate and the bed occupation rate had a positive correlation with technical efficiency. Serbian public hospitals have considerable space for technical efficiency improvement and public action must be taken to improve resource utilization.

Describing Serbian Hospital Activity Using Australian Refined Diagnosis Related Groups: A Case Study in Vojvodina Province.

INTRODUCTION: AR-DRG system for classification hospital episodes was implemented in Serbia to improve efficiency and transparency in the health system. METHODS: L3H3, IQR, and 10th-95th percentile methods were used to identify outlier episodes in the classification. Classification efficiency and within-group homogeneity were measured by an adjusted reduction in variance (R2) and a coefficient of variation (CV). RESULTS: There were 246,131 hospital episodes with a total 1,651,913 bed days from 14 hospitals. All episodes were classified into 652 groups of which 441 had CV lower than 100%. "Medical groups" accounted for 51% of groups and for 72% of episodes. Chemotherapy and vaginal delivery were the highest volume groups, with 5% and 4% of total episodes. Major diagnostic category 6 (MDC 6, Diseases of the digestive system) was the highest volume MDC, accounting for 11% of episodes. "Day-cases" and "prolonged hospitalisation" accounted for 21% and 3% of episodes, respectively. The average length of stay varied from 5.6 to 8.2 days. Adjusted R2 was 0.3 for untrimmed data. Trimming by L3H3, IQR, and 10th-95th percentile method improved the value of adjusted R2 to 0.61, 0.49, and 0.51, identifying 24%, 7%, and 7% of total cases as outliers, respectively. Mental diseases (MDC 19) remained the lowest adjusted R2 in untrimmed and trimmed datasets. CONCLUSION: A long length of stay and a small percentage of "day-cases" characterized hospital activity in Vojvodina. Trimming methods significantly improved DRG efficiency. Future studies should consider cost data.

Mechanical eye injuries in children aged 0-15 years treated at the clinic of eye diseases in Belgrade: frequency, causes and preventive measures.

INTRODUCTION: Eye injuries represent a significant problem in children. OBJECTIVE: The aim of the study was to determine the incidence and causes of the eye injury and to propose measures of the eye injury prevention in children up to 15 years of age. METHODS: This was a retrospective study of 552 children with the eye injuries treated at the Clinic of Eye Diseases in Belgrade during the period March 1999 to February 2010. Gender and age of the children, time of injury, the type and site of injuries, visual acuity upon admission and at discharge, as well as the time of surgery in relation to time of injury were analysed. RESULTS: The ratio between the injured boys and girls was 3.6:1.The highest percentage of injured children was in the group 6-10 years old (39.7%); the injuries were almost evenly distributed according to months during the year and days during the week. The percentages of severe closed and open injuries of the eyeball were almost equal. Visual acuity upon discharge and subsequent follow-up examinations were significantly improved after the applied treatment in comparison with the visual acuity upon admission. CONCLUSION: Eye injuries in children still represent a severe health problem. Regarding the youngest age group of children, adults are mainly responsible for these injuries due to their lack of attention, while in older children these injuries are the result of the production and distribution of inappropriate toys and a failure to implement the legal traffic regulations applicable to children.The prevention of eye injuries is essential.