Informacja

Drogi użytkowniku, aplikacja do prawidłowego działania wymaga obsługi JavaScript. Proszę włącz obsługę JavaScript w Twojej przeglądarce.

Tytuł pozycji:

Diabetes care cascade in Ukraine: an analysis of breakpoints and opportunities for improved diabetes outcomes.

Tytuł:
Diabetes care cascade in Ukraine: an analysis of breakpoints and opportunities for improved diabetes outcomes.
Autorzy:
Stuart RM; Department of Mathematical Sciences, University of Copenhagen, Universitetsparken 5, København Ø, 2300, Copenhagen, Denmark. .
Khan O; The World Bank Group, Washington, DC, USA.
Abeysuriya R; Monash University, Melbourne, Australia.
Kryvchun T; Department of Health, Poltava, Ukraine.
Lysak V; Department of Health, Poltava, Ukraine.
Bredikhina A; Department of Health, Poltava, Ukraine.
Durdykulyieva N; Department of Health, Poltava, Ukraine.
Mykhailets V; Department of Health, Poltava, Ukraine.
Kaidashova E; Department of Health, Poltava, Ukraine.
Doroshenko O; The World Bank Group, Washington, DC, USA.
Shubber Z; The World Bank Group, Washington, DC, USA.
Wilson D; The World Bank Group, Washington, DC, USA.
Zhao F; The World Bank Group, Washington, DC, USA.
Fraser-Hurt N; The World Bank Group, Washington, DC, USA.
Źródło:
BMC health services research [BMC Health Serv Res] 2020 May 11; Vol. 20 (1), pp. 409. Date of Electronic Publication: 2020 May 11.
Typ publikacji:
Journal Article
Język:
English
Imprint Name(s):
Original Publication: London : BioMed Central, [2001-
MeSH Terms:
Blood Glucose Self-Monitoring/*economics
Diabetes Mellitus/*diagnosis
Mass Screening/*economics
Blood Glucose ; Cost-Benefit Analysis ; Counseling ; Humans ; Ukraine
References:
Front Genet. 2018 Nov 06;9:515. (PMID: 30459809)
Pharmacoeconomics. 2015 Aug;33(8):811-31. (PMID: 25787932)
Bull World Health Organ. 2011 Mar 1;89(3):172-83. (PMID: 21379413)
J Int AIDS Soc. 2018 Apr;21(4):e25097. (PMID: 29652100)
Gates Open Res. 2019 Jun 7;3:1488. (PMID: 31942536)
Lancet. 2016 Apr 9;387(10027):1513-1530. (PMID: 27061677)
PLoS One. 2017 Oct 2;12(10):e0184264. (PMID: 28968435)
Curr Med Res Opin. 2017 Feb;33(2):331-358. (PMID: 27819150)
Diabetes Res Clin Pract. 2014 Feb;103(2):150-60. (PMID: 24300018)
J Diabetes Sci Technol. 2018 Mar;12(2):295-302. (PMID: 28494618)
J Acquir Immune Defic Syndr. 2015 Jul 1;69(3):365-76. (PMID: 25803164)
Lancet HIV. 2018 Apr;5(4):e190-e198. (PMID: 29540265)
Med Decis Making. 2002 Sep-Oct;22(5 Suppl):S80-91. (PMID: 12369234)
S Afr Med J. 2015 Jan 08;105(2):98-102. (PMID: 26242524)
J Epidemiol Community Health. 2017 Aug;71(8):827-834. (PMID: 28356325)
J Diabetes Sci Technol. 2011 Sep 01;5(5):1124-36. (PMID: 22027305)
Ann Intern Med. 2014 Nov 18;161(10):681-9. (PMID: 25402511)
PLoS Med. 2019 Mar 1;16(3):e1002751. (PMID: 30822339)
Wiad Lek. 2016;69(3 pt 2):465-470. (PMID: 27717926)
Grant Information:
OPP1181918 Bill and Melinda Gates Foundation
Contributed Indexing:
Keywords: Care cascades; Diabetes; Modeling; Optimization; Service delivery
Substance Nomenclature:
0 (Blood Glucose)
Entry Date(s):
Date Created: 20200513 Date Completed: 20201125 Latest Revision: 20201125
Update Code:
20240105
PubMed Central ID:
PMC7212677
DOI:
10.1186/s12913-020-05261-y
PMID:
32393341
Czasopismo naukowe
Background: Diabetes is one of the leading causes of poor health and high care costs in Ukraine. To prevent diabetes complications and alleviate the financial burden of diabetes care on patients, the Ukrainian government reimburses diabetes medication and provides glucose monitoring, but there are significant gaps in the care continuum. We estimate the costs of providing diabetes care and the most cost-effective ways to address these gaps in the Poltava region of Ukraine.
Methods: We gathered data on the unit costs of diabetes interventions in Poltava and estimated expenditure on diabetes care. We estimated the optimal combination of facility-based and outreach screening and investigated how additional funding could best be allocated to improve glucose control outcomes.
Results: Of the ~ 40,000 adults in diabetes care, only ~ 25% achieved sustained glucose control. Monitoring costs were higher for those who did not: by 10% for patients receiving non-pharmacological treatment, by 61% for insulin patients, and twice as high for patients prescribed oral treatment. Initiatives to improve treatment adherence (e.g. medication copayment schemes, enhanced adherence counseling) would address barriers along the care continuum and we estimate such expenditures may be recouped by reductions in patient monitoring costs. Improvements in case detection are also needed, with only around two-thirds of estimated cases having been diagnosed. Outreach screening campaigns could play a significant role: depending on how well-targeted and scalable such campaigns are, we estimate that 10-46% of all screening could be conducted via outreach, at a cost per positive patient identified of US$7.12-9.63.
Conclusions: Investments to improve case detection and treatment adherence are the most efficient interventions for improved diabetes control in Poltava. Quantitative tools provide essential decision support for targeting investment to close the gaps in care.
Zaloguj się, aby uzyskać dostęp do pełnego tekstu.

Ta witryna wykorzystuje pliki cookies do przechowywania informacji na Twoim komputerze. Pliki cookies stosujemy w celu świadczenia usług na najwyższym poziomie, w tym w sposób dostosowany do indywidualnych potrzeb. Korzystanie z witryny bez zmiany ustawień dotyczących cookies oznacza, że będą one zamieszczane w Twoim komputerze. W każdym momencie możesz dokonać zmiany ustawień dotyczących cookies