Abstract
Background: Adolescence represents a critical transitional stage within the life course of human development. Adolescence is also an important period where the introduction of targeted educational and preventative interventions has the potential to impact HRQOL outcomes. Presently, very little is known about the preferences of young people with a long-term health condition or disability in relation to their mental, social, emotional and physical health. However, such information is an essential prerequisite for the planning and development of preventive strategies and clinical treatment programs designed to improve adolescent health.
Objectives: To investigate the impact of a long-term health condition or disability on preferences for a series of health states generated from the CHU9D descriptive system and to compare and contrast the resulting health state values with those of adolescents without a health condition or disability.
Methods: A profile best-worst scaling (BWS) method was conducted to assess preferences for health states generated by the CHU9D descriptive system comprised of nine dimensions: worry, sadness, pain, tiredness, annoyance, school, sleep, daily routine and activities. An online survey was completed by adolescents in Australia aged 11-17 years (total N=2,051) of which N = 1,771 (84%) reported themselves as living without a long-term disability or health condition and 280 (16%) reported themselves as living with a long term disability or health condition. A conditional logit regression model was used to analyse data from the best choices.
Results: In choosing the best health states, individuals without a disability placed importance on eight (‘worry’, ‘sad’, ‘pain’, ‘tiredness’, ‘annoyance’, ‘school’, ‘sleep’, and ‘activities’) of the nine dimensions of the CHU9D (except daily routine). On the other hand, those with a long-term disability or health condition placed importance on a smaller subset of 6 CHU9D dimensions (excluding tiredness, annoyance and sleep). Further data analysis and results taking into account preference heterogeneity will be presented.
Conclusions: This study provides insights into the influence of experience in the valuation of paediatric measures of HRQOL and highlights that scoring algorithms generated in different populations of young people may not be identical. Our findings in relation to the CHU9D instrument indicate important differences with potential implications for economic evaluation and resource allocation decisions for adolescent health and preventive programmes.
Objectives: To investigate the impact of a long-term health condition or disability on preferences for a series of health states generated from the CHU9D descriptive system and to compare and contrast the resulting health state values with those of adolescents without a health condition or disability.
Methods: A profile best-worst scaling (BWS) method was conducted to assess preferences for health states generated by the CHU9D descriptive system comprised of nine dimensions: worry, sadness, pain, tiredness, annoyance, school, sleep, daily routine and activities. An online survey was completed by adolescents in Australia aged 11-17 years (total N=2,051) of which N = 1,771 (84%) reported themselves as living without a long-term disability or health condition and 280 (16%) reported themselves as living with a long term disability or health condition. A conditional logit regression model was used to analyse data from the best choices.
Results: In choosing the best health states, individuals without a disability placed importance on eight (‘worry’, ‘sad’, ‘pain’, ‘tiredness’, ‘annoyance’, ‘school’, ‘sleep’, and ‘activities’) of the nine dimensions of the CHU9D (except daily routine). On the other hand, those with a long-term disability or health condition placed importance on a smaller subset of 6 CHU9D dimensions (excluding tiredness, annoyance and sleep). Further data analysis and results taking into account preference heterogeneity will be presented.
Conclusions: This study provides insights into the influence of experience in the valuation of paediatric measures of HRQOL and highlights that scoring algorithms generated in different populations of young people may not be identical. Our findings in relation to the CHU9D instrument indicate important differences with potential implications for economic evaluation and resource allocation decisions for adolescent health and preventive programmes.
| Original language | English |
|---|---|
| Number of pages | 1 |
| Publication status | Published - 17 Jul 2019 |
| Externally published | Yes |
| Event | International Health Economics Association Congress 2019 - Basel , Basel , Switzerland Duration: 13 Jul 2019 → 17 Jul 2019 https://healtheconomics.confex.com/healtheconomics/2019/meetingapp.cgi/Paper/2475 |
Conference
| Conference | International Health Economics Association Congress 2019 |
|---|---|
| Country/Territory | Switzerland |
| City | Basel |
| Period | 13/07/19 → 17/07/19 |
| Internet address |
Keywords
- Paediatric health
- long-term health condition
- education
- preventative interventions
- wellbeing