The SF-6D health descriptive system and its second version published in 2020, the SF-6Dv2, is used worldwide for valuing health-related quality of life (HRQoL) for economic evaluation and measuring patient-reported health outcomes. In this study, a valuation tool was developed and applied to create a social value set, comprising 18,750 health state values, for the SF-6Dv2 for New Zealand (NZ). This tool was adapted and extended from the one used to create a social value set for the EQ-5D-5L, a simpler health descriptive system with fewer dimensions and health states.
View Article and Find Full Text PDFObjective: To identify and describe (1) which health-related quality of life (HRQoL) measures have been used with Indigenous children/youth (aged 8-17 years) within the Pacific Rim; and (2) studies that refer to Indigenous health concepts in the use of child/youth HRQoL measures.
Design: A scoping review.
Data Sources: Ovid (Medline), PubMed, Scopus, Web of Science and CINAHL were searched up until 25 June 2020.
Purpose: In Aotearoa me Te Waipounamu (New Zealand; NZ) there are considerable inequities in health status and outcomes for Māori, the Indigenous peoples of NZ. It is therefore important that the health status and preferences of Māori are specifically considered in healthcare policy and decision making. This paper describes the health-related quality of life of 390 Māori adults who took part in the NZ EQ-5D-5L valuation study.
View Article and Find Full Text PDFIntroduction: Measures of health-related quality-of-life (HRQoL) are increasingly important for evaluating healthcare interventions and treatments, understanding the burden of disease, identifying health inequities, allocating health resources and for use in epidemiological studies. Although many HRQoL measures developed for use in adult populations are robust, they are not necessarily designed, or appropriate, to measure HRQoL for children/youth. Furthermore, the appropriateness of HRQoL measures for use with Indigenous child/youth populations has not been closely examined.
View Article and Find Full Text PDFIntroduction: This paper identifies predictors of subsequent injury (SI) in a cohort of injured Māori. Interventions to reduce SI among indigenous populations would help overcome the disproportionate burden of subsequent injury experienced, thereby reducing inequities in injury outcomes and the overall burden of injury.
Methods: Interview data from the Prospective Outcomes of Injury Study (POIS) were combined with Accident Compensation Corporation (ACC; New Zealand's universal no-fault injury insurer) and hospital discharge datasets.