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Use of Decision Modelling in Economic Evaluations of Diagnostic Tests: An Appraisal and Review of Health Technology Assessments in the UK.

ABSTRACT: Diagnostic tests play an important role in the clinical decision-making process by providing information that enables patients to be identified and stratified to the most appropriate treatment and management strategies. Decision analytic modelling facilitates the synthesis of evidence from multiple sources to evaluate the cost effectiveness of diagnostic tests. This study critically reviews the methods used to model the cost effectiveness of diagnostic tests in UK National Institute for Health Research (NIHR) Health Technology Assessment (HTA) reports. UK NIHR HTA reports published between 2009 and 2018 were screened to identify those reporting an economic evaluation of a diagnostic test using decision analytic modelling. Existing decision modelling checklists were identified in the literature and a modified checklist tailored to diagnostic economic evaluations was developed, piloted and used to assess the diagnostic models in HTA reports. Of 728 HTA reports published during the study period, 55 met the inclusion criteria. The majority of models performed well with a clearly defined decision problem and analytical perspective (89% of HTAs met the criterion). The model structure usually reflected the care pathway and progression of the health condition. However, there are areas requiring improvement. These are predominantly systematic identification of treatment effects (20% met), poor selection of comparators (50% met) and assumed independence of tests used in sequence (32% took correlation between sequential tests into consideration). The complexity and constraints of performing decision analysis of diagnostic tests on costs and health outcomes makes it particularly challenging and, as a result, quality issues remain. This review provides a comprehensive assessment of modelling in HTA reports, highlights problems and gives recommendations for future diagnostic modelling practice.

SUBMITTER: Yang Y

PROVIDER: S-EPMC6710311 | biostudies-literature | 2019 Sep

REPOSITORIES: biostudies-literature

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Use of Decision Modelling in Economic Evaluations of Diagnostic Tests: An Appraisal and Review of Health Technology Assessments in the UK.

Yang Yaling Y Abel Lucy L Buchanan James J Fanshawe Thomas T Shinkins Bethany B

PharmacoEconomics - open 20190901 3

Diagnostic tests play an important role in the clinical decision-making process by providing information that enables patients to be identified and stratified to the most appropriate treatment and management strategies. Decision analytic modelling facilitates the synthesis of evidence from multiple sources to evaluate the cost effectiveness of diagnostic tests. This study critically reviews the methods used to model the cost effectiveness of diagnostic tests in UK National Institute for Health R ...[more]

PMID: 30552651

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Project description:BackgroundHealth economic evaluation identifies, measures, values, and compares alternative strategies to efficiently allocate scarce resources. The validity, methodological quality, and generalizability of economic evaluations must be assessed, as poorly designed studies can lead to incorrect conclusions. Therefore, this study aimed to evaluate the quality and characteristics of published economic evaluations done in Ethiopia, using the Quality of Health Economics Studies (QHES) and Consolidated Health Economic Evaluation Reporting Standards (CHEERS) instruments.MethodologyVarious electronic databases were searched using different keywords. We included only original studies conducted in Ethiopia that evaluated the cost and consequences of at least two health interventions. Abstracts, treatment guidelines, reviews, expert opinions, and studies that included other countries were excluded. Two reviewers independently evaluated each study using the QHES and CHEERS instruments and any disagreements were then resolved by a third reviewer.ResultThe study included 21 studies published between 2002 and 2021. HIV was the most frequently evaluated medical condition, examined in four (19.06%) of the 21 studies. Seventeen of the studies (80.95%) compared healthcare services or programs, while the other four examined pharmaceutical products. Cost-utility analysis was the economic evaluation technique used in 14 studies (66.67%). Of the studies that disclosed their funding sources, foreign institutions were involved in funding 71.43% of them. Disability-adjusted life-year (DALY) was an outcome metric used in nine (42.86%) studies. The average QHES score of the studies was 82%. Fourteen studies had QHES scores of ≥75% and two had scores of <50%. The studies evaluated using the CHEERS instrument ranged in quality from 42.9% to 92.9%, with an average of 78.23%.ConclusionOur study revealed that Ethiopia lacks health economic evaluations, particularly on non-communicable diseases. This indicates that the economic evaluation of healthcare interventions in Ethiopia is still in its early stages. Additionally, Ethiopian institutions have played a very limited role in funding research, highlighting the importance of active participation from local institutions.

Project description:BackgroundThe number of Health Technology Assessment (HTA) agencies increases. One component of HTAs are economic aspects. To incorporate economic aspects commonly economic evaluations are performed. A convergence of recommendations for methods of health economic evaluations between international HTA agencies would facilitate the adaption of results to different settings and avoid unnecessary expense. A first step in this direction is a detailed analysis of existing similarities and differences in recommendations to identify potential for harmonization. The objective is to provide an overview and comparison of the methodological recommendations of international HTA agencies for economic evaluations.MethodsThe webpages of 127 international HTA agencies were searched for guidelines containing recommendations on methods for the preparation of economic evaluations. Additionally, the HTA agencies were requested information on methods for economic evaluations. Recommendations of the included guidelines were extracted in standardized tables according to 13 methodological aspects. All process steps were performed independently by two reviewers.ResultsFinally 25 publications of 14 HTA agencies were included in the analysis. Methods for economic evaluations vary widely. The greatest accordance could be found for the type of analysis and comparator. Cost-utility-analyses or cost-effectiveness-analyses are recommended. The comparator should continuously be usual care. Again the greatest differences were shown in the recommendations on the measurement/sources of effects, discounting and in the analysis of sensitivity. The main difference regarding effects is the focus either on efficacy or effectiveness. Recommended discounting rates range from 1.5%-5% for effects and 3%-5% for costs whereby it is mostly recommended to use the same rate for costs and effects. With respect to the analysis of sensitivity the main difference is that oftentimes the probabilistic or deterministic approach is recommended exclusively. Methods for modeling are only described vaguely and mainly with the rational that the "appropriate model" depends on the decision problem. Considering all other aspects a comparison is challenging as recommendations vary regarding detailedness and addressed issues.ConclusionThere is a considerable unexplainable variance in recommendations. Further effort is needed to harmonize methods for preparing economic evaluations.

Dataset Information

Use of Decision Modelling in Economic Evaluations of Diagnostic Tests: An Appraisal and Review of Health Technology Assessments in the UK.

Publications

Use of Decision Modelling in Economic Evaluations of Diagnostic Tests: An Appraisal and Review of Health Technology Assessments in the UK.

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