Background/Objectives: The COVID-19 pandemic substantially affected both the provision and demand for health services. There are few studies that analyzed factors associated with unmet healthcare needs during the COVID-19 pandemic relative to regular pre-pandemic period, mainly in high-income countries. This study examines the change in the likelihood of reporting unmet healthcare needs as well as individual demographic, socioeconomic, health-related, and geographical characteristics associated with unmet healthcare needs during the COVID-19 pandemic and during the pre-pandemic period in Serbia. Methods: We utilized data from the Survey on Income and Living Conditions in the Republic of Serbia for 2019 and 2021. Multivariable logistic regression analysis was conducted on the pooled sample comprising 21,422 respondents aged 16 years and older from both survey years. Results: Overall, respondents had 1.6 times higher odds of reporting unmet healthcare needs during the COVID-19 pandemic compared with the pre-pandemic period. In the pooled multivariable analysis, older adults (OR = 2.32), individuals reporting poor or very poor self-rated health (OR = 2.16), and those with chronic diseases (OR = 1.46) were more likely to report unmet healthcare needs. In contrast, individuals with higher levels of education (ORs = 0.72 for high school, 0.65 for college, and 0.51 for master’s degree), retired individuals (OR = 0.70), inactive persons (OR = 0.76), and students/pupils (OR = 0.22) had significantly lower odds of unmet needs, compared to their counterparts. Relative to the poorest income quintile, individuals in all higher income quintiles were less likely to report unmet healthcare needs, with the lowest odds observed in the 5th quintile (OR = 0.49). Residents of thinly populated areas had higher odds compared to those in densely populated areas (OR = 1.19). Conclusions: Identified associations with unmet healthcare needs should be used to develop targeted strategies for strengthening healthcare access, particularly in the context of future crises.

Background: The COVID-19 pandemic made health care access more difficult. This study provides insight into significant individual factors associated with unmet needs in 2021 in Serbia. Methods: The study is a secondary analysis of SILC data, conducted on a sample of 13,855 respondents aged 16 + (source: Statistical Office of the Republic of Serbia). The outcome variable is self-reported unmet need for physician service in last 12 months (yes/no). Multivariate logistic regression is used to identify factors significantly related to unmet needs. Demographic, socioeconomic factors and health needs, which have been found to be significant for outcome in univariate logistic regression, are entered in final analysis. Results: It was shown that age, marital, employment status, income and health needs were significant factors for unmet needs. Compared to 16-24 age group, aged 65+ were more likely to report unmet needs, OR = 3.5(CI = 2.1-5.6); for 45-64 years old OR = 3.4(CI = 2.1-5.3); for 25-44 OR = 2.0(CI = 1.3-3.1). Separated/divorced had higher odds for unmet needs than married ones, OR = 1.4(CI = 1.2-1.8); as well as unemployed, OR = 1.4(CI = 1.2-1.6), and retired, OR = 1.2(CI = 1.0-1.5), than employed. Those from the 1st quintile, based on equalized disposable household income, were more likely to report unmet need compared to the 5th quintile, OR = 1.8(CI = 1.5-2.1). A gradient across all quintiles was proven (for 2nd quintile OR = 1.6(CI = 1.3-1.9), for 3rd OR = 1.4(CI = 1.1-1.7), for 4th OR = 1.3(CI = 1.1-1.5)). Compared to participants with very good/good health, those who perceive own health as very poor/poor had 3 times higher odds (CI = 2.5-3.5) to report unmet need; for those with average health OR = 1.7(CI = 1.5-1.9). Suffering from chronic illness increases odds 2.2 times (CI = 1.9-2.5). Conclusions: The highest probability for unmet needs was established across most vulnerable groups, which is significant for preparing for future public health crises and preventing increase in health inequalities during them. Key messages: • During the pandemic,there was a higher probability of unmet health needs among the most vulnerable groups. • Strategies need to be put in place to prevent health inequalities deepening in a future crisis.