Objective: Although health technology assessment (HTA) and healthcare quality improvement are distinct processes, a greater level of alignment in outcome measures used may increase the quality and efficiency of data collection. This study evaluates the agreement in outcome measures used in oncology for healthcare quality improvement and HTAs, and how these align to the International Consortium for Health Outcomes Measurement (ICHOM) standard sets.
Methods: We conducted a cross-sectional comparative analysis of ICHOM sets focusing on oncological indications and publicly available measures for healthcare quality and HTA reports published by the National Health Care Institute from the Netherlands and the National Institute for Health and Care Excellence from the United Kingdom.
Background: There is a general agreement on the importance of health-related quality of life (HRQoL). This type of information is becoming increasingly important for the value assessment of health technology assessment agencies in evaluating the benefits of new health technologies, including medicines. However, HRQoL data are often limited, and additional sources that provide this type of information may be helpful.
View Article and Find Full Text PDFStandard outcome sets developed by the International Consortium for Health Outcomes Measurement (ICHOM) facilitate value-based health care in healthcare practice and have gained traction from regulators and Health Technology Assessment (HTA) agencies that regularly assess the value of new medicines. We aimed to assess the extent to which the outcomes used by regulators and HTA agencies are patient-relevant, by comparing these to ICHOM standard sets. We conducted a cross-sectional comparative analysis of ICHOM standard sets, and publicly available regulatory and HTA assessment guidelines.
View Article and Find Full Text PDFPurpose: Development of innovative drugs for melanoma is occurring rapidly. Incremental gains in overall survival amongst innovative products may be difficult to measure in clinical trials, and their use may be associated with increased toxicity profiles. Therefore, HTA agencies increasingly require information on HRQoL for the assessment of such drugs.
View Article and Find Full Text PDFPurpose: The promise of personalized genomics for common complex diseases depends, in part, on the ability to predict genetic risks on the basis of single nucleotide polymorphisms. We examined and compared the methods of three companies (23andMe, deCODEme, and Navigenics) that have offered direct-to-consumer personal genome testing.
Methods: We simulated genotype data for 100,000 individuals on the basis of published genotype frequencies and predicted disease risks using the methods of the companies.