Both citizens and policymakers demand the best possible results from a country's healthcare system. It is of utmost importance to accurately and objectively assess the efficiency of a healthcare system and to note the key indicators, where resources are lost, and possibilities for improvement. This paper evaluates the efficiency of health systems in 38 countries, mainly members of the Organization for Economic Co-operation and Development, using data envelopment analysis (DEA). In the first stage, bootstrapped Ivanovic distance is used to generate weights for the indicators, thus taking into consideration different country's goals, but not to the extent of reducing the possibility of comparison. The analysis shows that human resources are the most important health system resource and countries should pay special attention to developing and employing competent medical workers. The reorganization of human resources and the funds allocated to them could also increase efficiency. The second stage examines environmental indicators to find the causes of inefficiency. No proof is found that any one basic health system funding model produces better health outcomes than the others. Obesity is identified as a major issue. K E Y W O R D Sefficiency evaluation, data envelopment analysis, health systems,
Abstract. The efficiency of the banking sector, particularly in developing countries, has captivated the attention of various researchers. Contributing to this issue, we present the results of in-depth analysis of the efficiency of Serbian banks during the period 2005-2016. Unlike previous papers evaluating the efficiency of South-Eastern European banks, we emphasize the importance of applying weight restrictions in Data Envelopment Analysis (DEA). The aim is to incorporate every aspect of a decision-making unit's performance to avoid misevaluation of a bank's efficiency. As a possible remedy to the issue, a bootstrapped I-distance is suggested as a statistically sound framework for determining weight bounds in the Global Assurance Region (GAR) DEA model. In terms of average efficiency, the banking sector of Serbia exhibits an improving trend over the period analyzed. The results show how banks can be evaluated when the impact of all the operating inputs and outputs are properly factored into the study.
In sports, a calculation of efficiency is considered to be one of the most challenging tasks. In this paper, DEA is used to evaluate an efficiency of the NBA players, based on multiple inputs and multiple outputs. The efficiency is evaluated for 26 NBA players at the guard position based on existing data. However, if we want to generate the efficiency for a new player, we would have to re-conduct the DEA analysis. Therefore, to predict the efficiency of a new player, machine learning algorithms are applied. The DEA results are incorporated as an input for the learning algorithms, defining thereby an efficiency frontier function form with high reliability. In this paper, linear regression, neural network, and support vector machines are used to predict an efficiency frontier. The results have shown that neural networks can predict the efficiency with an error less than 1%, and the linear regression with an error less than 2%.
Background: The organization of health care system on Cantonal level with the coordination from Federal level represents a real situation with the possibility of decentralization of health care system according to the experiences of developed countries. Objective. To make an overview of the situation at the primary and hospital health care level with the aim of assessing the existing human resources and capacity of health care institutions in FB&H, with which we entered in COVID-19 pandemic. Methods. This retrospective study presents the efficiency of health care in FB&H measured by number of medical doctors, and other medical staff during the time period of five years. Data of the Institute for Public Health FB&H were used. The Institute for Public Health FB&H is authorised by the law to conduct and implement statistical research in the field of health care in line with relevant laws and by-laws. The Institute is obliged to report on organisational structure, human resources and medical equipment. Results. Presented data include the number of health care employees in medical institutions in FB&H in the period 2015-2019 per 100,000 inhabitants and their numbers in primary health care, family medicine, secondary and tertiary level of health care in 2019. The study also presents the number of doctors of medicine, specialists and medical residents in FB&H, the number of nurses of all profiles and levels of education as well as medical staff and other employees in the public health care system in FB&H in 2019. Conclusions. The COVID-19 pandemic in FB&H has confirmed the fact that human resources in health care are insufficient, especially in the field of public health and epidemiology. The availability of these health facilities and human resource is not uniform throughout the FB&H, which may affect the capacity of the health system in some parts of the FB&H to meet the needs of providing services during COVID-19 pandemic.
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