Back

Informal Payments in Ukrainian Primary Healthcare System: cross-sectional study, 2022-2023 years

Duda, M.; Kovalenko, N.; Tokar, A.; Sorotsynskyi, O.; Pavlenko, P.; Odrynskyi, V.

2025-09-25 health economics
10.1101/2025.09.22.25336385 medRxiv
Show abstract

Countries with emerging and developing economies, particularly during crises like the ongoing full-scale war in Ukraine, face significant challenges in achieving universal health coverage. This secondary data analysis focused on informal payments (IPs) in Ukraines public primary healthcare (PHC) system, using a dataset from a study that examined IPs across four priority healthcare services: childbirth, neonatal care, myocardial infarction, and stroke care. Conducted from June 1, 2022 till May 31, 2023, across all Ukrainian regions (excluding temporarily occupied territories), the study analysed anonymous surveys of 2,031 patients using multivariable regression in SPSS. We identified that women and individuals from larger households were more likely to make IPs at the PHC level. Older patients generally viewed IPs negatively, though age did not significantly correlate with IP behaviour. Lower-income individuals also viewed IPs negatively. Resistance to health system reforms was associated with more positive attitudes towards IPs, with regional variations observed. The study results will support the Governments evidence-based policy decisions and data-driven interventions that reduce corruption and improve health outcomes in Ukraine.

Matching journals

The top 3 journals account for 50% of the predicted probability mass.

50% of probability mass above

"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.