The impact of socioeconomic factors on the healthcare costs of people living with HIV in Turkey.

BACKGROUND: This study addresses an important field within HIV research, the impact of socioeconomic factors on the healthcare costs of people living with HIV/AIDS (PLHIV). We aimed to understand how different socioeconomic factors could create diverse healthcare costs for PLHIV in Turkey. METHODS: Data were collected between January 2017 and December 2017. HIV-positive people attending the clinic who had been referred to the national ART programme from January 1992 until December 2017 were surveyed. The questionnaire collected socioeconomic data. The cost data for the same patients was taken from the electronic database Probel Hospital Information Management System (PHIMS) for the same period. The PHIMS data include costs for medication (highly active antiretroviral therapy or HAART), laboratory, pathology, radiology, polyclinic, examination and consultation, hospitalisation, surgery and intervention, blood and blood products, supplies and other costs. Data were analysed using STATA 14.2 to estimate the generalised linear model (GLM). RESULTS: The findings of our GLM indicate that age, gender, marital and parental status, time since diagnosis, employment, wealth status, illicit drug use and CD4 cell count are the factors significantly related to the healthcare cost of patients. We found that compared with people who have AIDS (CD4 cells < 200 cells/mm3), people who have a normal range of CD4 cells (≥ 500 cells/mm3) have $1046 less in expenditures on average. Compared to younger people (19-39 years), older people (≥ 55) have $1934 higher expenditures on average. Costs are $644 higher on average for married people and $401 higher on average for people who have children. Healthcare costs are $518 and $651 higher on average for patients who are addicted to drugs and who use psychiatric drug(s), respectively. Compared to people who were recently diagnosed with HIV, people who were diagnosed ≥10 years ago have $743 lower expenditures on average. CONCLUSION: Our results suggest that in addition to immunological status, socioeconomic factors play a substantial role in the healthcare costs of PLHIV. The key factors influencing the healthcare costs of PLHIV are also critical for public policy makers, healthcare workers, health ministries and employment community programs.

The determinants of employability of people living with HIV/AIDS in Turkey.

BACKGROUND: This study addresses an important field within HIV research, the factors affecting the determinants of the employability of people living with HIV/AIDS (PLHIV) in Turkey. The employability of PLHIV is now even more vital because the use of antiretroviral therapy improves the quality of life of patients. In spite of this, the related literature suggests that there are serious impediments to the employment of PLHIV who face considerable levels of discrimination based on their HIV status. METHODS: This is a cohort study of 170 PLHIV of working age, treated at the Izmir Bozyaka Education and Training Hospital. We use a univariate logistic model to determine the effects of all determinants of interest with probit/logit modeling and penalized maximum likelihood estimation to avoid bias and to test the robustness of results. RESULTS: Age, time since diagnosis, work status at diagnosis, wealth status, illicit drug use, and CD4 cell count were significantly related to the employability of PLHIV. Younger individuals had a higher probability of workforce participation. HIV-infected patients aged 19 to 39 and 40 to 54 years were 32% and 20% more likely, respectively, to be employed. Economically better-off PLHIV were more likely to participate in the labor force and HIV patients who were working at the time of diagnosis were more likely to be re-employed. Time since diagnosis was negatively associated with the employment status. Compared to recently diagnosed patients, PLHIV for more than a decade were less likely to be employed. Those with high CD4 cell counts were more likely to be employed. Illicit drug use was negatively associated with employment and drug-addicted HIV patients were less likely to be employed. Higher education did not significantly predict the employability of PLHIV. CONCLUSIONS: Our results suggest that besides immunological status, socioeconomic factors play a substantial role in the employability of PLHIV. We suggest that even if a patient is skilled, educated, and qualified for the job, other factors such as stigma and employment discrimination in the workplace may hinder employment even among highly educated PLHIV.

The impact of economic and social factors on the prevalence of hepatitis B in Turkey.

BACKGROUND: Viral Hepatitis is one of the major global health problems, affecting millions of people every year. Limited information is available on the impact of social and economic factors on the prevalence of Hepatitis B virus (HBV) in Turkey. This study, contrary to other studies in the literature, was undertaken with the aim of examining the Majority of the excluded data come from the volunteers. METHODS: There are medical and the social-economic factors affecting the prevalence of HBV. This research, while taking medical factors as control variables, clarify the social and economic factors affecting the prevalence of HBV by utilising clinical data with the use of the Binary Probit Model (BPM). The BPM estimation is a powerful tool to determine not only the factors but explain also the exact impacts of each factor. RESULTS: The estimations of the BPM shows that economic and social variables such as age, gender, migration, education, awareness, social welfare, occupation are very important factors for determining HBV prevalence. Compared to the youngest population, the 46 to 66+ age group has a higher prevalence of HBV. The male respondents were 5% more likely to develop HBV compared to females. When region-specific differences are taken into account, migrating from the poorest parts of the country such as the eastern and south-eastern regions of Turkey are approximately 16% more likely to be infected. The welfare indicators such as a higher number of rooms in the respondent's house or flat decreases the probability of having HBV and, relatively higher income groups are less likely to develop HBV compared to labourers. The Self-employed/Business owner/Public sector worker category are approximately 10% less likely to develop HBV. When people are aware of the methods of prevention of HBV, they are 6% less likely to be infected. Previous HBV infection history increases the probability of having HBV again B by 17%. CONCLUSIONS: These findings strongly suggest that the impact of social and economic factors on the prevalence of HBV is vital. Any improvements in these factors are likely to reduce prevalence of HBV.

Teleworking-An Economic and Social Impact during COVID-19 Pandemic: A Data Mining Analysis.

The health crisis generated by the COVID-19 pandemic has induced, among other things, an increase in the importance of remote work or teleworking (TL) in the current period. The objective of this research is to identify the economic and social impact of telework in changing the behavior of employees in Romania. The research was conducted approximately one year after the onset of the pandemic until the beginning of the vaccination period in Romania. The research proposed includes three main directions of analysis of the extracted data, which are related to telework efficiency, this being considered one of the most important indicators for a company. In order to obtain conclusive results, we used a mixed methodology, combining results obtained through a survey based on a self-administered electronic questionnaire, with a data mining analysis. Detailed analysis of the groups identified based on work efficiency allowed us to highlight the most common employee profiles. This analysis was doubled by a second classification experiment, which provided us a more detailed analysis of the groups identified based on job satisfaction and highlighted the most common employee profiles. The expansion of telework in various economic areas is a result of adaptation to the new economic and social conditions caused by the COVID-19 pandemic.