Naslov (srp)

Unapređenje procene kvaliteta podataka o smrtnom ishodu u Srbiji određivanjem indeksa performansi vitalne statistike

Autor

Anđelković-Apostolović, Marija, 1984-

Doprinosi

Ignjatović, Aleksandra, 1980-
Bogdanović, Dragan, 1960-
Stojanović, Miodrag, 1974-
Milić, Nataša, 1974-
Milošević, Zoran, 1958-

Opis (srp)

The traditional approach to mortality quality assessment was based on evaluatingthe completeness of vital statistics and the proportion of R diagnoses, while the newprinciple determines the Vital Statistics Performance Index for Quality-VSPI(Q).The goals of the doctoral dissertation are to improve the assessment of the qualityof data on death outcomes by determining the VSPI(Q) index in Serbia from 2005to 2019 and assessing the level of knowledge and attitudes of physicians whenfilling out the death certificate (DC).In the first part of the research, the ANACONDA software package was used toassess the quality of death data, which analyses the accuracy and completeness ofmortality data with demographic and epidemiological global estimates. In thesecond part of the research, a modified Mid-America Heart Institute (MAHI) DeathCertificate Scoring System determined the assessment of physicians' knowledge.The mortality data in Serbia was assessed as medium quality for the entire fifteenyearperiod (VSPI(Q) score of 67.2%). A constant increase in the quality ofmortality data was based on the increase in the VSPI(Q) score from 55.6 (mediumquality) to 70.2 (high quality) in the follow-up period. It was found that 24.2%belonged to garbage codes (GC), while 18.5% belonged to insufficiently specifiedcauses of death. Death due to external factors is represented by 0.8%, below theglobal average of 5-10%. According to the GC typology, the most common errorbelongs to category 3 (24.7%), representing the intermediate cause of death. Themost common ill-defined diagnosis for both sexes is nonspecific cardiomyopathy(I42.9). As a result of the ANACONDA analysis, 9.2% of GC in females and 9.1%of GC in males were successfully redistributed. A strong positive correlation wasfound between the VSPI(Q) score and sociodemographic indices for Serbia. Thephysician's knowledge of coding DC is suboptimal for all three cases. The optimallevel of knowledge was achieved by 51.4% of physicians for coding the naturaldeath, 42.3% for coding the violent death, and 19.5% for coding the undetermineddeath. Predictors of better knowledge are education, frequency of filling out DCs,and the number of completed DCs.The results indicate an increase in the quality of mortality data in Serbia and a largepercentage of GC in the fifteen years, reflected in physicians' suboptimalknowledge. For this purpose, it is necessary to adapt education and focus on thecritical aspects of each cause of death.

Opis (srp)

Bibliografija: listovi 118-132.Beleška o autoru: list 142. Datum odbrane: 10.12.2024. Medical statistics and informatics

Jezik

srpski

Datum

2024

Licenca

Ovo delo je licencirano pod uslovima licence
Creative Commons CC BY-NC-ND 3.0 AT - Creative Commons Autorstvo - Nekomercijalno - Bez prerada 3.0 Austria License.

http://creativecommons.org/licenses/by-nc-nd/3.0/at/legalcode