Background: Evaluations of diagnostic tests are challenging because of the indirect nature of their impact on patient outcomes. Model-based health economic evaluations of tests allow different types of evidence from various sources to be incorporated and enable cost-effectiveness estimates to be made beyond the duration of available study data. To parameterize a health-economic model fully, all the ways a test impacts on patient health must be quantified, including but not limited to diagnostic test accuracy. Methods: We assessed all UK NIHR HTA reports published May 2009-July 2015. Reports were included if they evaluated a diagnostic test, included a model-based health economic evaluation and included a systematic review and meta-analysis ...
Diagnostic tests are expensive and time-consuming to develop. Early economic evaluation using decisi...
Objective: Linked evidence models are recommended to predict health benefits and cost-effectiveness ...
Objective: Linked evidence models are recommended to predict health benefits and cost-effectiveness ...
Background Evaluations of diagnostic tests are challenging because of the indirect nature of their i...
Background Evaluations of diagnostic tests are challenging because of the indirect nature of their i...
Diagnostic tests play an important role in the clinical decision-making process by providing informa...
Diagnostic tests play an important role in the clinical decision-making process by providing informa...
AbstractObjectivesThe study aims to assess how evidence on diagnostic test accuracy is synthesized a...
Diagnostic tests play an important role in the clinical decision-making process by providing informa...
ABSTRACTObjectivesHealth technology assessments (HTAs) typically require the development of a cost-e...
Objectives Health technology assessments (HTAs) typically require the development of a cost-effectiv...
Diagnostic tests are expensive and time-consuming to develop. Early economic evaluation using decisi...
OBJECTIVES Linked evidence models are recommended to predict health benefits and cost-effectivene...
Objective: The aim of this study was to present a clear process of synthesizing test accuracy data w...
Diagnostic tests are expensive and time-consuming to develop. Early economic evaluation using decisi...
Diagnostic tests are expensive and time-consuming to develop. Early economic evaluation using decisi...
Objective: Linked evidence models are recommended to predict health benefits and cost-effectiveness ...
Objective: Linked evidence models are recommended to predict health benefits and cost-effectiveness ...
Background Evaluations of diagnostic tests are challenging because of the indirect nature of their i...
Background Evaluations of diagnostic tests are challenging because of the indirect nature of their i...
Diagnostic tests play an important role in the clinical decision-making process by providing informa...
Diagnostic tests play an important role in the clinical decision-making process by providing informa...
AbstractObjectivesThe study aims to assess how evidence on diagnostic test accuracy is synthesized a...
Diagnostic tests play an important role in the clinical decision-making process by providing informa...
ABSTRACTObjectivesHealth technology assessments (HTAs) typically require the development of a cost-e...
Objectives Health technology assessments (HTAs) typically require the development of a cost-effectiv...
Diagnostic tests are expensive and time-consuming to develop. Early economic evaluation using decisi...
OBJECTIVES Linked evidence models are recommended to predict health benefits and cost-effectivene...
Objective: The aim of this study was to present a clear process of synthesizing test accuracy data w...
Diagnostic tests are expensive and time-consuming to develop. Early economic evaluation using decisi...
Diagnostic tests are expensive and time-consuming to develop. Early economic evaluation using decisi...
Objective: Linked evidence models are recommended to predict health benefits and cost-effectiveness ...
Objective: Linked evidence models are recommended to predict health benefits and cost-effectiveness ...