Conducting cost-effectiveness analyses of type 2 diabetes in low- and middle-income countries: can locally generated observational study data overcome methodological limitations?

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dc.contributor.authorBaik, SeiHyun
dc.contributor.authorChacra, Antonio Roberto [UNIFESP]
dc.contributor.authorLi Yuxiu
dc.contributor.authorWhite, Jeremy
dc.contributor.authorGueler, Serdar
dc.contributor.authorLatif, Zafar A.
dc.contributor.institutionNovo Nordisk Reg Int Operat AS
dc.contributor.institutionKorea Univ Guro Hosp
dc.contributor.institutionUniversidade Federal de São Paulo (UNIFESP)
dc.contributor.institutionBeijing Union Med Coll Hosp
dc.contributor.institutionAnkara Numune Training & Res Hosp
dc.contributor.institutionBangladesh Inst Res & Rehabil Diabet Endocrine &
dc.date.accessioned2018-06-15T17:17:23Z
dc.date.available2018-06-15T17:17:23Z
dc.date.issued2010-05-01
dc.description.abstractIn low- and middle-income countries, the high personal and economic burden of type 2 diabetes is further compounded by inadequate resources for diabetes care when compared with high-income countries. Health technology assessments (HTAs) aim to inform policy decision makers in their efforts to achieve more effective allocation of resources by providing evidence-based input on new technologies. Within the hierarchy of evidence, randomized controlled trials (RCTs) remain the 'gold standard' used to inform HTAs, but are limited by poor external validity (ie, generalizability to real-world populations). Unlike RCTs, observational studies are able to enrol broader patient populations, but their design renders such studies vulnerable to confounding factors and selection bias. However, it is increasingly recognized that observational studies can complement RCTs by supporting and extending efficacy findings from RCTs to real-world clinical practice, particularly across geographical populations. They can also provide locally relevant baseline and disease natural history data to populate health economic models. Thus, observational data are likely to be of considerable informative value to policy makers in developing countries reaching decisions on diabetes care within art environment of scarce resources. (C) 2010 Elsevier Ireland Ltd. All rights reserved.en
dc.description.affiliationNovo Nordisk Reg Int Operat AS, Zurich, Switzerland
dc.description.affiliationKorea Univ Guro Hosp, Div Endocrinol, Seoul, South Korea
dc.description.affiliationUniv Fed Sao Paulo, Div Endocrine, Sao Paulo, Brazil
dc.description.affiliationUniv Fed Sao Paulo, Ctr Diabet, Sao Paulo, Brazil
dc.description.affiliationBeijing Union Med Coll Hosp, Dept Endocrinol, Beijing, Peoples R China
dc.description.affiliationAnkara Numune Training & Res Hosp, Dept Endocrinol & Metab, Ankara, Turkey
dc.description.affiliationBangladesh Inst Res & Rehabil Diabet Endocrine &, Dhaka, Bangladesh
dc.description.affiliationUnifespUniv Fed Sao Paulo, Div Endocrine, Sao Paulo, Brazil
dc.description.affiliationUnifespUniv Fed Sao Paulo, Ctr Diabet, Sao Paulo, Brazil
dc.description.sourceWeb of Science
dc.description.sponsorshipNovo Nordisk, MSD
dc.description.sponsorshipSanofi-Aventis
dc.format.extentS17-S22
dc.identifierhttp://dx.doi.org/10.1016/S0168-8227(10)70004-8
dc.identifier.citationDiabetes Research And Clinical Practice. Clare: Elsevier Ireland Ltd, v. 88, p. S17-S22, 2010.
dc.identifier.doi10.1016/S0168-8227(10)70004-8
dc.identifier.issn0168-8227
dc.identifier.urihttp://repositorio.unifesp.br/handle/11600/43483
dc.identifier.wosWOS:000278194900004
dc.language.isoeng
dc.publisherElsevier B.V.
dc.relation.ispartofDiabetes Research And Clinical Practice
dc.rightsinfo:eu-repo/semantics/restrictedAccess
dc.rights.licensehttp://www.elsevier.com/about/open-access/open-access-policies/article-posting-policy
dc.subjectType 2 diabetesen
dc.subjectHealth economic modelsen
dc.subjectObservational studiesen
dc.subjectCost-effectiveness analysesen
dc.titleConducting cost-effectiveness analyses of type 2 diabetes in low- and middle-income countries: can locally generated observational study data overcome methodological limitations?en
dc.typeinfo:eu-repo/semantics/article
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