Technical efficiency and its determinants in healthcare systems of underdeveloped countries.

This study aims to evaluate the technical efficiency levels of healthcare systems in underdeveloped countries and to reveal the impact of COVID-19 along with some other factors on the efficiency levels via a two-stage data envelopment analysis. The study covers panel data from 2013 to 2020. The results show that technical efficiency scores decreased during the pandemic period.

Prioritization of neurologic rehabilitation interventions by ELECTRE-III analysis in subacute stroke patients.

Background: Elimination and Choice Translating Reality (ELECTRE) III is a commonly used multicriteria decision-making (MCDM) method when alternatives are being prioritized in health sciences. The selection of the rehabilitation approach is the key factor to improve the upper extremity functions of stroke patients. Thus, choosing a reasonably good treatment approach will directly reduce the patient's cost to the government and caregivers, while also improving quality of life.

Does Efficiency of Oral and Dental Health Centers Change by the Development Level of Regions?

Objectives: This study aimed to analyze the efficiency levels of oral and dental health centers (ODHCs) affiliated to the Ministry of Health from the perspective of the development levels in the regions.

Methods: Within the framework of this study, the efficiencies of 127 ODHCs are evaluated with the data envelopment analysis based on Charnes, Cooper, Rhodes (CCR); Banker, Charnes, Cooper (BCC); and scale efficiency methods.

Results: It is found that CCR, BCC, and scale efficiencies of the 42 ODHCs located in the first region, the highest development region, are efficient by 31%, 50%, and 38% whereas 13%, 26%, and 26% of other 85 ODHCs located in other regions are efficient, respectively.

Measuring the efficiency of Turkish maternal and child health hospitals: A two-stage data envelopment analysis.

This study aims to examine the changes in efficiency and efficiency levels of the maternal and child health hospitals in Turkey from 2014 to 2017, by applying two-stage data envelopment analysis (DEA). At the first stage of the study, the efficiency of the hospitals was evaluated with input-oriented CCR (Charnes, Cooper, Rhodes) and Malmquist Productivity Index (MPI). At the second stage, panel Tobit regression analysis was utilized to find out the factors that affect the efficiency scores specified at the first stage.

Socio-demographic characteristics affect health information seeking on the Internet in Turkey.

Objective: The objective of this paper was to determine the effects of certain socio-demographic characteristics of Turkish individuals who seek health information on the Internet.

Methods: This study was granted permission to use data obtained by the Turkish Statistical Institute (TSI) in 2018 under their Household Information Technology Use (HITU) study. The original sample for this research comprised 19,389 participants.

Evaluating the Technical Efficiency of Hospitals Providing Tertiary Health Care in Turkey: An Application Based on Data Envelopment Analysis.

Tertiary care hospitals use more resources compared to other hospitals, which makes technical efficiency measurements specific to these hospitals important. This study explored the factors affecting the efficiencies of training and research hospitals affiliated to the Ministry of Health ( = 41) and university hospitals ( = 51) in Turkey via Data Envelopment Analysis, Malmquist Total Factor Productivity Index and panel Tobit Regression. The results showed that hospital size and the status of being a training and research or a university hospital affected the technical efficiency ( < 0.