Potential demand for obesity surgery: Findings from Turkish health survey
Obesity surgery and Turkish health survey
DOI:
https://doi.org/10.5281/zenodo.6356846Keywords:
Health Service Demand, Body Mass Index, Bariatric SurgeryAbstract
Aim: The main objective of this study is to identify potential demand for obesity surgery funded by public and private health insurance in Turkey.
Materials and Methods: Negative Binomial Regression (NBR) analysis was used to answer the question of "Do age, gender, being under the umbrella of social security, having an illness in the last 6 months and being included in one of the obesity groups affect the number of health services received?". The NBR model, used when the dependent variable has a counting number, is a technique that works better than Poisson regression if the data has excessive distribution. In addition, the number of services received was subjected to analysis of differences according to subcategories of independent variables. The variables used in the analysis were obtained from the “Turkey Statistical Institute (TURKSTAT) - TÜİK Health Survey” micro dataset for 2016 and 2019.
Results: Variables that positively affect the number of health services received are included in Class 1, Class 2, Class 3 obesity group and are gender, having social security, having illness in the last 6 months and diabetes (p<0,05). The presence of diabetes in a person increases the number of services receiving 1.42 times, being a woman 1.49 times, having any illness in the last six months 2.04 times and having a social security umbrella 1.14 times. Also, being in the Class I group affects the number of services receiving 1.28 times, Class II affects 1.57 times and Class III affects 1.93 times.
Conclusions: When only 5% of Turkish adults, who are estimated to be suitable for bariatric surgery, want to be treated, the health system will be unable to respond to demand. There needs to be better guidance on patient prioritization and more resources for public surgical planning.
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