Objectives: A linked evidence approach (LEA) is the synthesis of systematically acquired evidence on the accuracy of a medical test, its impact on clinical decision making and the effectiveness of consequent treatment options. We aimed to assess the practical utility of this methodology and to develop a decision framework to guide its use. Methods: As Australia has lengthy experience with LEA, we reviewed health technology assessment (HTA) reports informing reimbursement decisions by the Medical Services Advisory Committee (August 2005 to March 2012). Eligibility was determined according to predetermined criteria and data were extracted on test characteristics, evaluation methodologies, and reported difficulties. Fifty percent of the eviden...
OBJECTIVE: Before introducing a test in clinical practice, its characteristics and added value shoul...
OBJECTIVES This article describes GRADE's framework of moving from test accuracy to patient or po...
Objectives This article describes GRADE’s framework of moving from test accuracy to patient or popu...
Objectives: A linked evidence approach (LEA) is the synthesis of systematically acquired evidence on...
BACKGROUND The health consequences of medical testing are often not apparent or easily measured. To ...
It is uncommon to find published clinical trials that measure the health benefits of medical testing...
In recent years, Health Technology Assessment (HTA) processes specific to diagnostics and prognostic...
Objectives To review how health technology assessments (HTA) of medical tests incorporate intermedia...
Background: Evaluations of diagnostic tests are challenging because of the indirect nature of their ...
The development of medical test evaluation has predominantly focused on evidence around test perform...
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...
This dissertation aims to make four contributions to knowledge. First, unlike other fields (e.g. sci...
Objective: Linked evidence models are recommended to predict health benefits and cost-effectiveness ...
Health Technology Assessment (HTA) often results in different coverage recommendations across countr...
OBJECTIVE: Before introducing a test in clinical practice, its characteristics and added value shoul...
OBJECTIVES This article describes GRADE's framework of moving from test accuracy to patient or po...
Objectives This article describes GRADE’s framework of moving from test accuracy to patient or popu...
Objectives: A linked evidence approach (LEA) is the synthesis of systematically acquired evidence on...
BACKGROUND The health consequences of medical testing are often not apparent or easily measured. To ...
It is uncommon to find published clinical trials that measure the health benefits of medical testing...
In recent years, Health Technology Assessment (HTA) processes specific to diagnostics and prognostic...
Objectives To review how health technology assessments (HTA) of medical tests incorporate intermedia...
Background: Evaluations of diagnostic tests are challenging because of the indirect nature of their ...
The development of medical test evaluation has predominantly focused on evidence around test perform...
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...
This dissertation aims to make four contributions to knowledge. First, unlike other fields (e.g. sci...
Objective: Linked evidence models are recommended to predict health benefits and cost-effectiveness ...
Health Technology Assessment (HTA) often results in different coverage recommendations across countr...
OBJECTIVE: Before introducing a test in clinical practice, its characteristics and added value shoul...
OBJECTIVES This article describes GRADE's framework of moving from test accuracy to patient or po...
Objectives This article describes GRADE’s framework of moving from test accuracy to patient or popu...