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Playwork is a recognised profession in the United Kingdom (UK) and is currently a growing area of interest internationally. However, debates about the nature and purpose of playwork have raged in the playwork field since the profession was invented in the early adventure playgrounds. This study is the first to capture data about what the now international playwork workforce understands to be the purpose of playwork. The International Playwork Census (IPC) was an online survey which asked participants from 19 different countries about their knowledge and experience of playwork. This paper reports on one question from the IPC: what is the purpose of playwork? A thematic analysis was undertaken from 193 responses on what was considered "the purpose of playwork" and three themes emerged: Facilitate and Provide for children's play; Support and Advocate. This paper describes how these three themes reflect both the historical change in understandings of the purpose of playwork and how different understandings of playwork are developed through the experience of practitioners working in range of different contexts.

Preference weights are widely used to score generic health states into utility indexes for estimation of quality adjusted life years (QALYs) and to aid health care funding decisions. To date, health state utilities are predominantly derived using stated preference methods based on decision utility. This paper tests an alternative and generates preference weights using experienced utility for children based on the Child Health Utility 9D (CHU9D) descriptive system. We estimate the relative values of the CHU9D health states with regard to experienced utility, where experienced utility is approximated by self-reported happiness. A nationally-representative longitudinal survey was used including 6090 Australian children aged 12–17 years surveyed over 2014–2018. The derived weights were then applied to calculate the utility decrements for a few common child health conditions. We found that the estimated utility decrements are largely similar to those estimated using the published CHU9D Australian adolescent weights based on decision utility, except for pain and depression. A smaller utility decrement for pain and a larger utility decrement for depression were indicated by experienced utility. We contribute to the literature by showing that using experienced utility methods to generate preference weights for health states is possible, and we discuss some important methodological challenges for future studies such as the impracticability of anchoring to 'dead' when utilizing experienced utility. • Established methods of valuing health states rely on decision utility. • We use experienced utility to generate preference weights for children. • The estimated decrements for health conditions are similar to published weights. • We see smaller impact for pain, larger for depression compared to published weights. • Feasibility is demonstrated using child experienced utility for preference weights. [ABSTRACT FROM AUTHOR]