Measuring efficiency of public hospitals under the impact of Covid-19: the case of Türkiye.

The Covid-19 pandemic has had serious medical, administrative and financial effects on the health system and hospitals around the world. In Türkiye, compared to 2019 realizations, in 2020 and 2021 respectively there were 39% and 21% decrease in the number of outpatient services and 29% and 17% decline in total inpatient services of public hospitals. The main subject of this research is how the pandemic period affects the Turkish public hospitals' efficiency. We have measured the technical efficiency of outpatient and inpatient care services of Turkish public hospitals using Stochastic Frontier Analysis (SFA). The dataset includes 563 hospitals for the years 2015 through 2021. Inputs of number of physicians, nurses and other medical staff, and number of beds and their interactions with each other are introduced to the SFA models of outputs of outpatient visits and inpatient discharges adjusted with case mix index are derived. Firstly, we found that the years associated with Covid-19 have a significant negative impact on the inpatient service efficiency. Training and Research and City Hospitals have low efficiency scores in outpatient services but high efficiency scores in inpatient services. In addition, the regions with high population rates have positive impact in outpatient efficiency and negative impact in inpatient efficiency. During the pandemic, city hospitals, have received large investments, gained a key role by increasing both the patient load and their efficiency. Future reforms can be guided by taking advantage of the efficiency differences of hospitals in different environmental factors.

The impact of the covid-19 outbreak on unmet health care needs in istanbul.

Background & aim: COVID-19 pandemic caused significant barriers to maintain health services. Our study determines the frequency and significant determinants of unmet health needs in Istanbul both in 2019, a pre-pandemic year, and in 2021, a pandemic year and compares the results COVID-19 era to a prior to pandemic year. Methods: As our study is the first questing Istanbul experience, we estimate the frequencies and determinants of unmet healthcare need among +15 population using TurkStat's Income and Living Conditions Survey Data via Generalized Linear Models (GLMs). Results: We found that the most prominent barriers were late appointment dates and financial difficulty both before and during the pandemic. According to our findings, women and those having any chronic disease become significantly more likely to have unmet health needs during the pandemic compared to pre-pandemic period. Indeed, the ones belonging to the lowest income group and having lower level perceived health were disadvantaged with higher change of unmet needs both prior to and during the pandemic. Furthermore, the frequency of the Istanbulers who had unmet healthcare needs increased more than 1.5 time during the COVID-19 pandemic. Conclusions: As unmet healthcare needs due to COVID-19 jeopardizing the healthcare systems, it is important to comprehend the causes of unmet healthcare demands during infectious disease outbreaks in order to prioritize the right policies and protection strategies for the most vulnerable ones.

Receiving or not deemed necessary healthcare services.

BACKGROUND: Avoiding deemed necessary healthcare needs may worsen prognosis and treatment options, and damage people's ability to perform their roles in society. Our study investigates why people avoid healthcare services in an upper-middle-income country, Türkiye. METHODS: We apply TurkStat's 2012 Health Survey Data that includes a comprehensive health and social-demographic information of 28,055 survey participants who were 15 + aged. We use bivariate probit model to analyze the avoidance behavior in inpatient level in accordance with outpatient level because of the observed significant correlation between people's avoidance behavior under tertiary and lower level health care. RESULTS: The findings show that 2.6% of 15 + aged population avoided deemed necessary hospital services. Furthermore, we found that high cost (31%), organizational factors (21%) and fear (12%) are prominent reasons of avoiding tertiary care. Thereafter, in our bivariate probit model findings, we figure out that being covered by social security schemes decreases the probability of avoiding both outpatient and inpatient health services by 6.9%. Moreover, being female, living in rural area, having lower income increase the chance of being avoider in both stages of healthcare. CONCLUSION: We conclude that social inequalities are the main underlying determinants of the avoiding behavior.

Projecting the course of COVID-19 in Turkey: A probabilistic modeling approach

Background/aim: The COVID-19 pandemic originated in Wuhan, China, in December 2019 and became one of the worst global health crises ever. While struggling with the unknown nature of this novel coronavirus, many researchers and groups attempted to project the progress of the pandemic using empirical or mechanistic models, each one having its drawbacks. The first confirmed cases were announced early in March, and since then, serious containment measures have taken place in Turkey. Materials and methods: Here, we present a different approach, a Bayesian negative binomial multilevel model with mixed effects, for the projection of the COVID-19 pandemic and we apply this model to the Turkish case. The model source code is available at https:// github.com/kansil/covid-19. We predicted the confirmed daily cases and cumulative numbers from June 6th to June 26th with 80%, 95%, and 99% prediction intervals (PI). Results: Our projections showed that if we continued to comply with the measures and no drastic changes were seen in diagnosis or management protocols, the epidemic curve would tend to decrease in this time interval. Also, the predictive validity analysis suggests that the proposed model projections should have a PI around 95% for the first 12 days of the projections. Conclusion: We expect that drastic changes in the course of COVID-19 in Turkey will cause the model to suffer in predictive validity, and this can be used to monitor the epidemic. We hope that the discussion on these projections and the limitations of the epidemiological forecasting will be beneficial to the medical community, and policy makers.

Turkish health system reform from the people's perspective: a cross sectional study.

BACKGROUND: Since 2003, Turkey has implemented major health care reforms to develop easily accessible, high-quality, efficient, and effective healthcare services for the population. The purpose of this study was to bring out opinions of the Turkish people on health system reform process, focusing on several aspects of health system and assessing whether the public prefer the current health system or that provided a decade ago. METHODS: A cross sectional survey study was carried out in Turkey to collect data on people's opinions on the healthcare reforms. Data was collected via self administered household's structured questionnaire. A five-point Likert-type scale was used to score the closed comparative statements. Each statement had response categories ranging from (1) "strongly agree" to (5) "strongly disagree." A total of 482 heads of households (response rate: 71.7%) with the mean age of (46.60 years) were selected using a multi stage sampling technique from seven geographical regions in Turkey from October 2011 to January 2012. Multiple logistic regressions were performed to identify significant contributing factors in this study. RESULTS: Employing descriptive statistics it is observed that among the respondents, more than two third of the population believes that the changes have had positive effects on the health system. A vast majority of respondents (82.0%) believed that there was an increase in accessibility, 73.7% thought more availability of health resources, 72.6% alleged improved quality of care, and 72.6% believed better attitude of politician/mass media due to the changes in the last 10 years. Indeed, the majority of respondents (77.6%) prefer the current health care system than the past. In multivariate analysis, there was a statistically significant relationship between characteristics and opinions of the respondents. The elderly, married females, perceived themselves healthy and those who believe that people are happier now than 10 years ago have a more positive opinion of the changes. While, the single unemployed from rural region who perceived themselves as unhealthy and believe that people are unhappy now compare to ten years ago showed less positive opinions. CONCLUSIONS: Hence, we conclude that from the people's perspective overall the health system reforms were most likely successful.

Validity and Reliability Analysis of Knowledge of, Attitude toward and Practice of a Case-mix Questionnaire among Turkish Healthcare Providers.

Objectives: This study was aimed to assess validation and reliability of knowledge of, attitude toward and practice (KAP) of a Case-mix and Diagnosis Related Group (DRG) system questionnaire. Methods: A sample of 238 health care providers selected conveniently from three public hospitals in Turkey was enrolled in a cross-sectional study from September 1 until November 30, 2012. The mean age was 38.63 years (standard deviation [SD] 10.52), ranging from age 21 to 60 years. More than one-half were males (52.1%), nearly two-fifths were medical doctors (39.9%), one-third were nurses (33.2%), one-sixth were auxiliary staff (16.4%) and the remaining were coders (10.5%). Only one-third (33.6%) of respondents attended a workshop or training program in the Case-mix or DRG system. After examining content validity, factor analysis was conducted, internal consistency of the questionnaire was assessed by Cronbach's alpha estimate, and test-retest reliability was evaluated. Results: The sample adequacy for extraction of the factors was confirmed by the Kaiser-Meyer-Olkin test (0.915) and the Bartlett test (1052). Factor analysis showed three factors, including attitude (36.43%), practice (23.39%) and knowledge (17%), with a total variance of 76.82%. The reliability of each section of the questionnaire was as follows: knowledge (0.963), attitude (0.964) and practice (0.973). Cronbach's alpha total was 0.941, which showed excellent internal consistency. Conclusions: This study demonstrated that the designed questionnaire provided high construct validity and reliability, and could be adequately used to measure KAP among health care staff of the Case-mix and DRG system in Turkey.

The health sector reforms and the efficiency of public hospitals in Turkey: provincial markets.

BACKGROUND: Turkey initiated the 'Health Transformation Programme' (HTP) in 2003 to align its health care system with the European Union and OECD countries. This study investigates the impact of these reforms on the efficiency of public hospitals. Our study would contribute to the existing literature with a comprehensive analysis of the health system in a developing country. METHODS: We employ the data envelopment approach and the Malmquist index to comparatively examine before and after the reform years. Our analyses compare the performances of public hospitals served in provincial markets. Inputs of number of beds, number of primary care physician, and number of specialists, and how they are used to produce outputs of inpatient discharges, outpatient visits and surgical operations are investigated. Indeed, as the performance indicators dead rate, hospital bed occupation rate and average length of stay are considered. RESULTS: The HTP was generally successful in boosting productivity due to advancements in technology and technical efficiency but in the socio-economically disadvantaged provinces productivity gains have not been achieved. The average technical efficiency gains took place because of the significantly improved scale efficiencies, as the average pure technical efficiency slightly improved. Lastly, the hospital performance indicators have not improved in the short run. CONCLUSION: It appears that the expected benefits from the health reforms in Turkey have been partially achieved in the short run.

Health care expenditures and gross domestic product: the Turkish case.

Our study examines the long-term relationship among per capita gross domestic product (GDP), per capita health expenditures and population growth rate in Turkey during the period 1984-2006, employing the Johansen multivariate co-integration technique. Related previous studies on OECD countries have mostly excluded Turkey-itself an OECD country. The only study on Turkey examines the period 1984-1998. However, after 1998, major events and policy changes that had a substantial impact on income and health expenditures took place in Turkey, including a series of reforms to restructure the health and social security system. In contrast to earlier findings in the literature, we find that the income elasticity of total health expenditures is less than one, which indicates that health care is a necessity in Turkey during the period of analysis. According to our results, a 10% increase in per capita GDP is associated with an 8.7% increase in total per capita health expenditures, controlling for population growth. We find that the income elasticity of public health expenditures is less than one. But, in the case of private health care expenditures, the elasticity is greater than one, meaning that private health care is a luxury good in Turkey.