Assessment of variables determining the health management departments' efficiency with analytical hierarchy process

This study was conducted to determine the variables that play a role in the efficiency of Health Management departments in Turkey and the ranking of them in order of importance. These variables were determined by systematic analysis. The Prisma method was used in the systematic analysis approach. Input and output variables used in studies assessing the efficiency of higher education institutions in the literature were listed. The ranking of these variables was determined by Analytical Hierarchy Process (AHP) method. The questionnaire used for the AHP analysis and the judgments of 127 academicians working in Health Management Departments in universities in Turkey were assessed. The first three input variables found as a result of the AHP were "the number of registered undergraduate students per faculty member", "the number of faculty members", and "the number of other academic staff". The most important three output variables included "the number of articles searched on SCI, SSCI, SCI-E", "the number of papers presented in international congresses", and "the count of publications published in international peer-reviewed journals". To achieve positive developments in the efficiency of Health Management Departments, it is recommended to carry out studies to increase the number of qualified publications.

Evaluation of Individuals’ Perception of Health News in the Period of COVID-19 Pandemic

The purpose of this study was to evaluate the perceptions of individuals related to health news published in COVID-19 pandemic period in Turkey. It was also aimed to determine the factors that may affect this perception. The research population consisted of individuals in the 18–74 age range living in Turkey. Google survey method was used to collect data. A total of 1,073 people were reached from Turkey’s seven regions. ‘Health News Perception Scale’ developed by Cinar et al. (2018) was used to evaluate the perception of individuals about health news. Gender, generations, education level, marital status, the region where the city is located, number of children, time spent and trust in health news on internet, having chronic diseases, COVID-19 positive diagnosis of relatives, working status and frequency of following the health news during pandemic were variables that make a statistically significant difference in individuals’ perception of health news. As a result, it is thought that health news can make a significant difference on the health behaviour of individuals. It is important to pay attention to the quality of the news in this period, where the number of news reports on health and the interest of individuals in health news has increased.

The evaluation of mobbing cases in the healthcare sector based on Supreme Court case law in Turkey

PURPOSE

This study aimed to examine mobbing in the health sector based on the Supreme Court case law.

DESIGN AND METHODS

The data were accessed on the website of the Supreme Court. Searches were made using mobbing and health-related keywords and filters. As a result, 43 lawsuits were included.

CONCLUSIONS

Most of the cases occurred in private hospitals. Hospital managers were accused of mobbing in 88% of cases. In 30% of cases, nurses were plaintiffs. Also, 45% of cases involved an attack on the occupational situation of employees.

PRACTICE IMPLICATIONS

It is important to develop policies specific to mobbing behavior in the workplace at the macro level and to consider legislation and management monitoring by health managers and especially nurse managers at the micro level.

Examination of differences in health indicators between efficient and inefficient countries

OBJECTIVE

This study determined whether there is a statistically significant difference between efficient and inefficient Organization for Economic Co-operation and Development (OECD) countries in terms of health indicators using fuzzy data envelopment analysis (FDEA).

METHODS

In the study, FDEA was performed with three input variables directly affecting health, four environmental factors considered to indirectly affect health, and two output variables. Literature research was used to determine appropriate variables. In FDEA, three different α-cut levels were used. The hypotheses regarding whether there was a statistically significant difference between efficient and inefficient countries in input and output variables were tested for all α-cut levels of upper bound efficiency values.

RESULTS

In terms of health indicators, 17 countries were efficient at α-cut 0 and 0.5. At α-cut 1, 18 countries were efficient. There was only a statistically significant difference between the efficient and inefficient countries in "the number of physicians."

CONCLUSION

This study shows the number of physicians was the most important determinant affecting the efficiency of a country's healthcare system. Inefficient countries had a greater mean for number of physicians. Thus, inefficient countries consume more resources than efficient ones.