Managing Uncertainties Due to Limited Evidence in Economic Evaluations of Novel Anti-Tuberculosis Regimens: A Systematic Review.

Background: Limited evidence for the implementation of new health technologies in low- and middle-income countries (LMICs) may lead to uncertainties in economic evaluations and cause the evaluations to produce inaccurate information for decision making. We performed a systematic review of economic evaluations on implementing new short-course regimens (SCR) for drug-sensitive and drug-resistant tuberculosis (TB), to explore how uncertainties due to the limited evidence in the studies were dealt with and to identify useful information for decision making from these studies.

Methods: We searched in electronic databases PubMed, EMBASE, NHSEED, and CEA registry for economic evaluations addressing the implementation of new anti-TB SCRs in LMICs published until September 2018.

Disparities in model-based cost-effectiveness analyses of tuberculosis diagnosis: A systematic review.

Background: Structural approach disparities were minimally addressed in past systematic reviews of model-based cost-effectiveness analyses addressing Tuberculosis management strategies. This review aimed to identify the structural approach disparities in model-based cost-effectiveness analysis studies addressing Tuberculosis diagnosis and describe potential hazards caused by those disparities.

Methods: A systematic search to identify studies published before October 2015 was performed in five electronic databases.

Effectiveness of whole-exome sequencing and costs of the traditional diagnostic trajectory in children with intellectual disability.

Purpose: This study investigated whole-exome sequencing (WES) yield in a subset of intellectually disabled patients referred to our clinical diagnostic center and calculated the total costs of these patients' diagnostic trajectory in order to evaluate early WES implementation.

Methods: We compared 17 patients' trio-WES yield with the retrospective costs of diagnostic procedures by comprehensively examining patient records and collecting resource use information for each patient, beginning with patient admittance and concluding with WES initiation. We calculated cost savings using scenario analyses to evaluate the costs replaced by WES when used as a first diagnostic tool.

Use of quality checklists and need for disease-specific guidance in economic evaluations: a meta-review.

Economic evaluations have become an essential part of reimbursement decisions in a wide range of countries. To ensure high quality, a variety of checklists with different purposes have been developed and implemented enabling assessment of these evaluations. Three of these checklists are most frequently used and are recommended by the Cochrane Handbook for Systematic Reviews for critical appraisal (Drummond, CHEC and Philips).

The impact of structural uncertainty on cost-effectiveness models for adjuvant endocrine breast cancer treatments: the need for disease-specific model standardization and improved guidance.

Introduction: Structural uncertainty relates to differences in model structure and parameterization. For many published health economic analyses in oncology, substantial differences in model structure exist, leading to differences in analysis outcomes and potentially impacting decision-making processes. The objectives of this analysis were (1) to identify differences in model structure and parameterization for cost-effectiveness analyses (CEAs) comparing tamoxifen and anastrazole for adjuvant breast cancer (ABC) treatment; and (2) to quantify the impact of these differences on analysis outcome metrics.

The cloudy crystal ball of cost-effectiveness studies.

Despite the use of identical clinical trial data (Anastrazole, Tamoxifen, Alone or in Combination for the adjuvant treatment of postmenopausal women with localised hormone receptor-positive breast cancer data), not dependent on differences between countries, the outcome of 11 published cost-effectiveness analyses varied more than 20-fold. The observed wide variation in predicted life-years gained (a parameter derived from clinical trial data) demonstrates that authors used substantially different methods for handling the same data. We therefore consider it to be of utmost importance to strive for standardization of and better guidance for disease-specific modeling in economic evaluations.

Utility and work productivity data for economic evaluation of breast cancer therapies in the Netherlands and Sweden.

Objective: This study aimed to estimate utility values in laypeople and productivity loss for women with breast cancer in Sweden and the Netherlands.

Methods: To capture utilities, validated health state vignettes were used, which were translated into Dutch and Swedish. They described progressive disease, stable disease, and 7 grade 3/4 adverse events.

Development of a framework for cohort simulation in cost-effectiveness analyses using a multistep ordinary differential equation solver algorithm in R.

Introduction: Dynamic processes in cost-effectiveness analysis (CEA) are typically described using cohort simulations, which can be implemented as Markov models, or alternatively using systems of ordinary differential equations (ODEs). In the field of CEA, simple and potentially inaccurate single-step algorithms are commonly used for solving ODEs, which can potentially induce bias, especially if an incorrect step size is used. The aims of this project were 1) to implement and demonstrate the use of a modern and well-established hybrid linear multistep ODE solver algorithm (LSODA) in the context of CEA using the statistical scripting language R and 2) to quantify bias in outcome for a case example CEA as generated by a commonly used single-step ODE solver algorithm.

Reviewing the cost-effectiveness of endocrine early breast cancer therapies: influence of differences in modeling methods on outcomes.

Objectives: The purpose of this systematic review is primarily to identify published cost-effectiveness analyses and cost-utility analyses of endocrine therapies for the treatment of early breast cancer. A secondary objective is to identify whether differences in seven modeling characteristics are related to differences in outcome of these cost-effectiveness and cost-utility analyses.

Methods: A systematic literature review was conducted to identify peer-reviewed full economic evaluations of endocrine treatments of early breast cancer published in the English language between 2000 and December 2010.