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doctoral thesis
Predviđanje rizika visokih troškova zdravstvene zaštite bolesnika s Alzheimerovom bolešću
Zagreb: University of Zagreb, School of Medicine, 2024. urn:nbn:hr:105:315295
Sušac, Jelena
University of Zagreb
School of Medicine

Institutional repository: Dr Med - University of Zagreb School of Medicine Digital Repository

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Sušac, J. (2024). Predviđanje rizika visokih troškova zdravstvene zaštite bolesnika s Alzheimerovom bolešću (Doctoral thesis). Zagreb: University of Zagreb, School of Medicine. Retrieved from https://urn.nsk.hr/urn:nbn:hr:105:315295

Sušac, Jelena. "Predviđanje rizika visokih troškova zdravstvene zaštite bolesnika s Alzheimerovom bolešću." Doctoral thesis, University of Zagreb, School of Medicine, 2024. https://urn.nsk.hr/urn:nbn:hr:105:315295

Sušac, Jelena. "Predviđanje rizika visokih troškova zdravstvene zaštite bolesnika s Alzheimerovom bolešću." Doctoral thesis, University of Zagreb, School of Medicine, 2024. https://urn.nsk.hr/urn:nbn:hr:105:315295

Sušac, J. (2024). 'Predviđanje rizika visokih troškova zdravstvene zaštite bolesnika s Alzheimerovom bolešću', Doctoral thesis, University of Zagreb, School of Medicine, accessed 03 May 2024, https://urn.nsk.hr/urn:nbn:hr:105:315295

Sušac J. Predviđanje rizika visokih troškova zdravstvene zaštite bolesnika s Alzheimerovom bolešću [Doctoral thesis]. Zagreb: University of Zagreb, School of Medicine; 2024 [cited 2024 May 03] Available at: https://urn.nsk.hr/urn:nbn:hr:105:315295

J. Sušac, "Predviđanje rizika visokih troškova zdravstvene zaštite bolesnika s Alzheimerovom bolešću", Doctoral thesis, University of Zagreb, School of Medicine, Zagreb, 2024. Available at: https://urn.nsk.hr/urn:nbn:hr:105:315295

Metadata
TitlePredviđanje rizika visokih troškova zdravstvene zaštite bolesnika s Alzheimerovom bolešću
Title (english)Predicting the risk of high healthcare costs for patients with Alzheimer's disease
AuthorJelena Sušac
MentorNinoslav Mimica (mentor)
MentorDinko Vitezić (komentor)
Committee memberGoran Šimić (predsjednik povjerenstva)
Committee memberNeven Henigsberg (član povjerenstva)
Committee memberMarina Šagud (član povjerenstva)
GranterUniversity of Zagreb
School of Medicine
Zagreb
Defense date and country2024-03-07, Croatia
Scientific / art field,
discipline and subdiscipline		BIOMEDICINE AND HEALTHCARE
Clinical Medical Sciences
Psychiatry
Universal decimal classification
(UDC)		616 - Pathology. Clinical medicine
Abstract
Cilj istraživanja bio je oblikovati statistički, multivarijabilni, prediktivni model najviših troškova formalne skrbi, liječenja i neformalne skrbi za bolesnike s dijagnosticiranom demencijom. Proveli smo prospektivno kohortno istraživanje u Domu zdravlja “Zagreb-Zapad”. Ciljana populacija bili su pacijenti u dobi od 60-80 godina s dijagnosticiranom demencijom koji žive u privatnim kućanstvima i njihovi neformalni njegovatelji. Uključili smo 240 bolesnika srednje dobi od 74 godine, a 186 (78%) bile su žene. Ukupni godišnji troškovi na razini populacije procijenjeni su na 594 milijuna eura, od čega oko 70% čine troškovi neformalne skrbi. Konačni prediktivni model uključivao je osam varijabli: dob, dob u vrijeme prve epizode demencije, broj kroničnih tjelesnih stanja u komorbiditetu, dijabetes i četiri čimbenika svakodnevnih životnih aktivnosti. Ukupna točnost u predviđanju gornjeg kvartila ukupnih troškova zdravstvene zaštite bila je 90%. Model je interno validiran nakon šest mjeseci. Točnost modela u validacijskom mjerenju bila je 83%. Temeljem provedenog istraživanja možemo zaključiti da je populacija osoba s demencijom heterogena i da postoje relativno velike razlike u troškovima koji im se pripisuju što daje novu perspektivu u adekvatnom planiranju terapijskih ciljeva i očekivanja.
Abstract (english)
The study aimed to create a statistical, multivariable, predictive model of the highest costs of formal care, treatment, and informal care for patients diagnosed with dementia. We conducted a prospective cohort study at the Health Center “Zagreb-Zapad”. The targeted population included patients aged 60–80 years, diagnosed with dementia, residing in private households, and their informal caregivers. We enrolled 240 patients with a median age of 74, and 186 (78%) were women. The total annual costs at the population level were estimated at 594 million EUR, with around 70% attributed to informal care costs. The final predictive model included eight variables: age, age at the time of the first episode of dementia, the number of comorbid chronic physical conditions, diabetes, and four factors related to activities of daily living. The overall accuracy in predicting the upper quartile of total healthcare costs was 90%. The model underwent internal validation after six months, and its accuracy in the validation measurement was 83%. We concluded that the population of people with dementia is heterogeneous, and there are relatively large differences in the costs attributed to them. This perspective provides new insights into adequately planning therapeutic goals and expectations.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:105:315295
Study programmeTitle: Biomedicine and Health Sciences
Study programme type: university
Study level: postgraduate
Academic / professional title: doktor/doktorica znanosti, područje biomedicine i zdravstvo (doktor/doktorica znanosti, područje biomedicine i zdravstvo)
Type of resourceText
Extent103 str.
File originBorn digital
Access conditionsOpen access
Terms of useLicence In copyright icon
Created on2024-04-18 08:20:18