Identificador persistente para citar o vincular este elemento: http://hdl.handle.net/10553/41998
Campo DC Valoridioma
dc.contributor.authorGarcía Lorenzo,Borjaen_US
dc.contributor.authorRivero-Santana, Amadoen_US
dc.contributor.authorVallejo Torres, Lauraen_US
dc.contributor.authorCastilla-Rodríguez, Ivánen_US
dc.contributor.authorGarcía-Pérez, Soniaen_US
dc.contributor.authorGarcía-Pérez, Lidiaen_US
dc.contributor.authorPerestelo-Pérez, Lilisbethen_US
dc.date.accessioned2018-09-26T09:11:24Z-
dc.date.available2018-09-26T09:11:24Z-
dc.date.issued2018en_US
dc.identifier.issn1356-1294en_US
dc.identifier.urihttp://hdl.handle.net/10553/41998-
dc.description.abstractRationale, aims and objectives: Self-monitoring of blood glucose (SMBG) is recommended to monitor glycaemic levels. The recent development of real-time continuous glucose monitoring (RT-CGM) enables continuous display of glucose concentration alerting patients in the event of relevant glucose fluctuations, potentially avoiding hypoglycaemic events and reducing long-term complications related to glycosylated haemoglobin (HbA1c) levels. This paper aims to evaluate the cost-effectiveness of RT-CGM compared to SMBG in patients with type 1 diabetes mellitus (T1DM) and type 2 diabetes mellitus (T2DM) which should support decision-making on public funding of RT-CGM in Spain. Methods: We performed a systematic review and meta-analyses on the effectiveness of RT-CGM in the reduction of HbA1c levels and severe hypoglycaemic events. A cost-effectiveness analysis was conducted using a Markov model which simulates the costs and health outcomes of individuals treated under these alternatives for a lifetime horizon from the perspective of the Spanish Health Service. The effectiveness measure was quality-adjusted life years (QALYs). We ran extensive sensitivity analyses, including a probabilistic sensitivity analysis. Results: Real-time continuous glucose monitoring provides a significant reduction of HbA1c for T1DM (13 studies; weighted mean difference (WMD) = −0.23%, 95% CI: −0.35, −0.11) and T2DM (5 studies; WMD = −0.48%, 95% CI: −0.79, −0.17). There were no statistically significant differences in the rate of severe hypoglycaemic events in T1DM (9 studies; OR = 1.16, 95% CI: 0.78, 1.72) or T2DM (no severe hypoglycaemic events were reported in any study). In the base case analysis, RT-CGM led to higher QALYs and health care costs with an estimated incremental cost-effectiveness ratio of €2 554 723 and €180 553 per QALY for T1DM and T2DM patients respectively. Sensitivity analyses revealed that the study results were robust. Conclusions: Real-time continuous glucose monitoring is not a cost-effective technology when compared to SMBG in Spain.en_US
dc.languageengen_US
dc.publisher1356-1294-
dc.relation.ispartofJournal of Evaluation in Clinical Practiceen_US
dc.sourceJournal of Evaluation in Clinical Practice [ISSN 1356-1294], v. 24 (4), p. 772-781en_US
dc.subject32 Ciencias médicasen_US
dc.subject.otherCost‐effectivenessen_US
dc.subject.otherDecision modelen_US
dc.subject.otherDiabetes mellitusen_US
dc.subject.otherReal‐time continuous glucose monitoringen_US
dc.subject.otherSelf‐monitoring of blood glucoseen_US
dc.titleCost-effectiveness analysis of real-time continuous monitoring glucose compared to self-monitoring of blood glucose for diabetes mellitus in Spainen_US
dc.typeinfo:eu-repo/semantics/Articleen_US
dc.typeArticleen_US
dc.identifier.doi10.1111/jep.12987
dc.identifier.scopus85050477071
dc.identifier.isi000440140900015-
dc.contributor.authorscopusid57170146500
dc.contributor.authorscopusid36144582300
dc.contributor.authorscopusid56309858100
dc.contributor.authorscopusid22233434100
dc.contributor.authorscopusid55600790800
dc.contributor.authorscopusid26021172500
dc.contributor.authorscopusid23668390700
dc.description.lastpage781-
dc.identifier.issue4-
dc.description.firstpage772-
dc.relation.volume24-
dc.investigacionCiencias de la Saluden_US
dc.type2Artículoen_US
dc.identifier.wosWOS:000440140900015-
dc.contributor.daisngid8907028
dc.contributor.daisngid2096512
dc.contributor.daisngid2925166
dc.contributor.daisngid4195971
dc.contributor.daisngid2668043
dc.contributor.daisngid1245539
dc.contributor.daisngid2336934
dc.identifier.externalWOS:000440140900015-
dc.contributor.wosstandardWOS:Garcia-Lorenzo, B
dc.contributor.wosstandardWOS:Rivero-Santana, A
dc.contributor.wosstandardWOS:Vallejo-Torres, L
dc.contributor.wosstandardWOS:Castilla-Rodriguez, I
dc.contributor.wosstandardWOS:Garcia-Perez, S
dc.contributor.wosstandardWOS:Garcia-Perez, L
dc.contributor.wosstandardWOS:Perestelo-Perez, L
dc.date.coverdateAgosto 2018
dc.identifier.ulpgces
dc.description.sjr0,703
dc.description.jcr1,536
dc.description.sjrqQ2
dc.description.jcrqQ3
dc.description.scieSCIE
item.fulltextSin texto completo-
item.grantfulltextnone-
crisitem.author.deptGIR Economía de la salud y políticas públicas-
crisitem.author.deptDepartamento de Métodos Cuantitativos en Economía y Gestión-
crisitem.author.orcid0000-0001-5833-6066-
crisitem.author.parentorgDepartamento de Métodos Cuantitativos en Economía y Gestión-
crisitem.author.fullNameGarcía Lorenzo,Borja-
crisitem.author.fullNameVallejo Torres, Laura-
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