FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2753175606> ?p ?o ?g. }

• W2753175606 endingPage "546" @default.
• W2753175606 startingPage "537" @default.
• W2753175606 abstract "Current recommendations on the estimation of transition probabilities in Markov cohort models for use in health care decision-making: a targeted literature review Elena Olariu,1 Kevin K Cadwell,1 Elizabeth Hancock,1 David Trueman,1 Helene Chevrou-Severac2 1PHMR Ltd, London, UK; 2Takeda Pharmaceuticals International AG, Zurich, Switzerland Objective: Although Markov cohort models represent one of the most common forms of decision-analytic models used in health care decision-making, correct implementation of such models requires reliable estimation of transition probabilities. This study sought to identify consensus statements or guidelines that detail how such transition probability matrices should be estimated. Methods: A literature review was performed to identify relevant publications in the following databases: Medline, Embase, the Cochrane Library, and PubMed. Electronic searches were supplemented by manual-searches of health technology assessment (HTA) websites in Australia, Belgium, Canada, France, Germany, Ireland, Norway, Portugal, Sweden, and the UK. One reviewer assessed studies for eligibility. Results: Of the 1,931 citations identified in the electronic searches, no studies met the inclusion criteria for full-text review, and no guidelines on transition probabilities in Markov models were identified. Manual-searching of the websites of HTA agencies identified ten guidelines on economic evaluations (Australia, Belgium, Canada, France, Germany, Ireland, Norway, Portugal, Sweden, and UK). All identified guidelines provided general guidance on how to develop economic models, but none provided guidance on the calculation of transition probabilities. One relevant publication was identified following review of the reference lists of HTA agency guidelines: the International Society for Pharmacoeconomics and Outcomes Research taskforce guidance. This provided limited guidance on the use of rates and probabilities. Conclusions: There is limited formal guidance available on the estimation of transition probabilities for use in decision-analytic models. Given the increasing importance of cost-effectiveness analysis in the decision-making processes of HTA bodies and other medical decision-makers, there is a need for additional guidance to inform a more consistent approach to decision-analytic modeling. Further research should be done to develop more detailed guidelines on the estimation of transition probabilities. Keywords: cost-effectiveness, decision models, probability, transitions" @default.
• W2753175606 created "2017-09-15" @default.
• W2753175606 creator A5002707728 @default.
• W2753175606 creator A5014309263 @default.
• W2753175606 creator A5018887750 @default.
• W2753175606 creator A5057476289 @default.
• W2753175606 creator A5084329413 @default.
• W2753175606 date "2017-09-01" @default.
• W2753175606 modified "2023-09-25" @default.
• W2753175606 title "Current recommendations on the estimation of transition probabilities in Markov cohort models for use in health care decision-making: a targeted literature review" @default.
• W2753175606 cites W137384943 @default.
• W2753175606 cites W1482670925 @default.
• W2753175606 cites W1506560069 @default.
• W2753175606 cites W166718062 @default.
• W2753175606 cites W1864580479 @default.
• W2753175606 cites W1937497011 @default.
• W2753175606 cites W1948307037 @default.
• W2753175606 cites W1968491957 @default.
• W2753175606 cites W1974161354 @default.
• W2753175606 cites W1985986738 @default.
• W2753175606 cites W1986743517 @default.
• W2753175606 cites W2017028883 @default.
• W2753175606 cites W2020129240 @default.
• W2753175606 cites W2021071948 @default.
• W2753175606 cites W2023049016 @default.
• W2753175606 cites W2023664710 @default.
• W2753175606 cites W2024715750 @default.
• W2753175606 cites W2029362177 @default.
• W2753175606 cites W2038646005 @default.
• W2753175606 cites W2040537092 @default.
• W2753175606 cites W2044609781 @default.
• W2753175606 cites W2044932116 @default.
• W2753175606 cites W2049320016 @default.
• W2753175606 cites W2050751123 @default.
• W2753175606 cites W2054404523 @default.
• W2753175606 cites W2057526070 @default.
• W2753175606 cites W2057847137 @default.
• W2753175606 cites W2061115111 @default.
• W2753175606 cites W2068407303 @default.
• W2753175606 cites W2086604221 @default.
• W2753175606 cites W2087307657 @default.
• W2753175606 cites W2088229392 @default.
• W2753175606 cites W2094924633 @default.
• W2753175606 cites W2107848343 @default.
• W2753175606 cites W2112797798 @default.
• W2753175606 cites W2122351741 @default.
• W2753175606 cites W2122664355 @default.
• W2753175606 cites W2133277390 @default.
• W2753175606 cites W2139627330 @default.
• W2753175606 cites W2158719122 @default.
• W2753175606 cites W2159061879 @default.
• W2753175606 cites W2161167948 @default.
• W2753175606 cites W2163228464 @default.
• W2753175606 cites W2166394031 @default.
• W2753175606 cites W2171596031 @default.
• W2753175606 cites W2271845266 @default.
• W2753175606 cites W2297033158 @default.
• W2753175606 cites W2329769864 @default.
• W2753175606 cites W2413259206 @default.
• W2753175606 cites W2470208019 @default.
• W2753175606 cites W2594245784 @default.
• W2753175606 cites W3143265745 @default.
• W2753175606 cites W989646497 @default.
• W2753175606 cites W1972837603 @default.
• W2753175606 cites W2159848039 @default.
• W2753175606 doi "https://doi.org/10.2147/ceor.s135445" @default.
• W2753175606 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/5589111" @default.
• W2753175606 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/28979151" @default.
• W2753175606 hasPublicationYear "2017" @default.
• W2753175606 type Work @default.
• W2753175606 sameAs 2753175606 @default.
• W2753175606 citedByCount "18" @default.
• W2753175606 countsByYear W27531756062018 @default.
• W2753175606 countsByYear W27531756062019 @default.
• W2753175606 countsByYear W27531756062020 @default.
• W2753175606 countsByYear W27531756062021 @default.
• W2753175606 countsByYear W27531756062022 @default.
• W2753175606 countsByYear W27531756062023 @default.
• W2753175606 crossrefType "journal-article" @default.
• W2753175606 hasAuthorship W2753175606A5002707728 @default.
• W2753175606 hasAuthorship W2753175606A5014309263 @default.
• W2753175606 hasAuthorship W2753175606A5018887750 @default.
• W2753175606 hasAuthorship W2753175606A5057476289 @default.
• W2753175606 hasAuthorship W2753175606A5084329413 @default.
• W2753175606 hasBestOaLocation W27531756061 @default.
• W2753175606 hasConcept C108170787 @default.
• W2753175606 hasConcept C119857082 @default.
• W2753175606 hasConcept C126322002 @default.
• W2753175606 hasConcept C127413603 @default.
• W2753175606 hasConcept C142724271 @default.
• W2753175606 hasConcept C144024400 @default.
• W2753175606 hasConcept C144133560 @default.
• W2753175606 hasConcept C160735492 @default.
• W2753175606 hasConcept C162118730 @default.
• W2753175606 hasConcept C162324750 @default.
• W2753175606 hasConcept C163836022 @default.
• W2753175606 hasConcept C17744445 @default.
• W2753175606 hasConcept C187736073 @default.

• next