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| Content Provider | Springer Nature : BioMed Central |
|---|---|
| Author | Gotsadze, George Tang, Wenze Shengelia, Natia Zoidze, Akaki |
| Abstract | Background The healthcare financing reforms initiated by the Government of Georgia in 2007 have positively affected inpatient service utilisation and enhanced financial protection, especially for the poor, but they have failed to facilitate outpatient service use among chronic patients. Non-communicable diseases significantly affect Georgia’s ageing population. Consequently, in this paper, we look at the evidence emerging from determinants analysis of outpatient service utilisation and if the finding can help identify possible policy choices in Georgia, especially regarding benefit package design for individuals with chronic conditions. Methods We used Andersen’s behavioural model of health service utilisation to identify the critical determinants that affect outpatient service use. A multinomial logistic regression was carried out with complex survey design using the data from two nationally representative cross-sectional population-based health utilisation and expenditure surveys conducted in Georgia in 2007 and 2010, which allowed us to assess the relationship between the determinants and outpatient service use. Results The study revealed the determinants that significantly impede outpatient service use. Low income, 45- to 64-year-old Georgian males with low educational attainment and suffering from a chronic health problem have the lowest odds for service use compared to the rest of the population. Conclusions Using Andersen’s behavioural model and assessing the determinants of outpatient service use has the potential to inform possible policy responses, especially those driving services use among chronic patients. The possible policy responses include reducing financial access barriers with the help of public subsidies for sub-groups of the population with the lowest access to care; focusing/expanding state-funded benefits for the most prevalent chronic conditions, which are responsible for the greatest disease burden; or supporting chronic disease management programs for the most prevalent chronic diseases and for special age groups aimed at the timely detection, education and management of chronic patients. |
| Related Links | https://health-policy-systems.biomedcentral.com/counter/pdf/10.1186/s12961-017-0197-5.pdf |
| Ending Page | 12 |
| Page Count | 12 |
| Starting Page | 1 |
| File Format | HTM / HTML |
| ISSN | 14784505 |
| DOI | 10.1186/s12961-017-0197-5 |
| Journal | Health Research Policy and Systems |
| Issue Number | 1 |
| Volume Number | 15 |
| Language | English |
| Publisher | BioMed Central |
| Publisher Date | 2017-05-02 |
| Access Restriction | Open |
| Subject Keyword | Health Administration R & D Technology Policy Medicine Public Health Health Services Research Health Policy Non-communicable diseases Outpatient service utilisation Behavioural model Benefits package Determinants of service use R & D/Technology Policy Medicine/Public Health |
| Content Type | Text |
| Resource Type | Article |
| Subject | Health Policy |
| Journal Impact Factor | 3.6/2023 |
| 5-Year Journal Impact Factor | 4.3/2023 |
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