Projects / Programmes source: ARRS

Determination of causes of hospitalization among patients with diabetes

Research activity

Code Science Field Subfield
3.08.00  Medical sciences  Public health (occupational safety)   

Code Science Field
B110  Biomedical sciences  Bioinformatics, medical informatics, biomathematics biometrics 

Code Science Field
3.03  Medical and Health Sciences  Health sciences 
diabetes, cause of hospital admission, complications of diabetes, lower extremity amputation
Evaluation (rules)
source: COBISS
Researchers (9)
no. Code Name and surname Research area Role Period No. of publicationsNo. of publications
1.  13919  PhD Tit Albreht  Medical sciences  Principal Researcher  2019 - 2022  507 
2.  05373  PhD Ivan Eržen  Medical sciences  Researcher  2020 - 2022  652 
3.  12439  PhD Marjetka Jelenc  Medical sciences  Researcher  2019 - 2022  274 
4.  10719  Nevenka Kelšin  Medical sciences  Researcher  2019 - 2022  81 
5.  34122  Aleš Korošec  Medical sciences  Researcher  2019 - 2022  259 
6.  26411  Darja Lavtar  Social sciences  Researcher  2019 - 2022  178 
7.  12151  PhD Vilma Urbančič-Rovan  Medical sciences  Researcher  2019 - 2022  216 
8.  27897  PhD Jelka Zaletel  Medical sciences  Researcher  2019 - 2022  641 
9.  38419  Metka Zaletel  Medical sciences  Researcher  2019 - 2022  236 
Organisations (2)
no. Code Research organisation City Registration number No. of publicationsNo. of publications
1.  0312  University Medical Centre Ljubljana  Ljubljana  5057272000  73,837 
2.  3333  National Institut of Public Health  Ljubljana  6462642  17,441 
Purpose and objectives The most accurate information on patients' hospitalization due to diabetes or the complications of diabetes is of utmost importance for good planning of measures and for providing adequate health care. This information is also essential for assessing the effectiveness of the action,  as well as for checking trends. The aim of the research is to obtain accurate data on the number of hospitalized patients. The approach we now have is not giving the actual picture, because the coding of the causes of hospitalization is often under the influence of the main diagnosis or multiple diagnoses of the illnesses that have been sustained by the hospitalized patients. It is similar with complications of the diabetes. For the purposes of economic evaluation of the disease, it is very important that we have accurate data, so the aim of this research is to obtain accurate data on hospitalized patients with diabetes. Working methods In the case of persons receiving at least 1 RP in the current year (a variant: from the group of antihyperglycaemics A10 that received at least 1RP in the last three years before the observed year), we will analyse: a. The most common causes of hospitalization and their duration (if the resources are allowed) b. "Avoidable hospitalizations" c. Hospitalization due to / in conjunction with chronic complications of diabetes (atherosclerotic vascular disease, kidney, lower limb, vision) d. Hospitalization due to cancer Whenever possible, we will use internationally comparable definitions. In the case of amputations of the lower limbs we will also carry out verification of the correctness of coding and will prepare a questionnaire, which will help us to analyse the key causes of amputation on the basis of insight into the dismissal letter. The analysis will be anonymised both for the patient and the doctor, while the analysed data will include gender, age, region of residence and region of the healthcare provider where the patient was hospitalized. Expected results The results will be presented descriptively for these persons only, comparable to the rest of the population, differences in sex, age, region of residence and other relevant socio-economic determinants that will be available in available databases, and trends.
Significance for science
The data on the prevalence of diabetes, the reasons for hospital admission, as well as the proportion and type of complications that have a big impact on the society are internationally and, of course, also in Slovenia, rather unreliable. The approach that will be used within the project is based on an epidemiological survey, which also enables the assessment of the situation at a population level.   Trough the a detailed examination of epidemiological data in this research, it will be able to support all stakeholders (MoH, ZZZS, healthcare providers) in introducing the necessary changes to increase the quality and relevance of the treatment of diabetes patients. In the long term, this will also make an important contribution to ensuring the financial sustainability of the healthcare system. On an international scale, our results will make it possible to assess the current situation in this part of Europe. The methodological approach will also be useful for other countries, which, like Slovenia, face a rapid increase in the number of diabetes patients. The aspect of cooperation with the OECD is also very important - Slovenia will finally be able to provide accurate data on amputated lower extremities, due to late complications of diabetes.
Significance for the country
The results of the project, which will be the basis for taking further measures to reduce the occurrence of diabetes, will thus indirectly have a favorable impact on the functioning of the economy. Based on our data, we can carry out additional economic analyzes of the burden that diabetes presents in Slovenia. The disease also affects economic activity, as diabetes is one of the factors that affect the reduced ability of workforce and the increased degree of disability. This will be particularly noticeable by extending working lives. A good knowledge of the costs associated with the underlying disease and the treatment of complications, as well as the costs resulting from a reduction in work capacity and disability, constitutes a good basis for the reception and implementation of preventive programs that will contribute to reducing the illness, reducing the adverse consequences of complications in patients with diabetes.
Most important scientific results Annual report 2020
Most important socioeconomically and culturally relevant results
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