| Literature DB >> 26832433 |
Sally Wortley1, Allison Tong2, Kirsten Howard1.
Abstract
OBJECTIVE: To identify characteristics (factors) about health technology assessment (HTA) decisions that are important to the public in determining whether public engagement should be undertaken and the reasons for these choices.Entities:
Keywords: consumer preferences; decision-making; health technology assessment; public engagement
Mesh:
Year: 2016 PMID: 26832433 PMCID: PMC4746444 DOI: 10.1136/bmjopen-2015-010265
Source DB: PubMed Journal: BMJ Open ISSN: 2044-6055 Impact factor: 2.692
Participant characteristics
| Characteristics | Number of participants (n) | Percentage |
|---|---|---|
| Gender | ||
| Male | 30 | 52 |
| Female | 28 | 48 |
| Age, years | ||
| 18–24 | 6 | 10 |
| 25–34 | 11 | 19 |
| 35–44 | 12 | 21 |
| 45–54 | 9 | 16 |
| 55–64 | 14 | 24 |
| 65–74 | 6 | 10 |
| Cultural background identified as Australian | ||
| Yes | 40 | 69 |
| No* | 18 | 31 |
| Employment | ||
| Full time | 36 | 62 |
| Part-time | 13 | 22 |
| Not working/studying/retired | 9 | 16 |
| Highest level of education | ||
| High school | 17 | 29 |
| University/college | 27 | 47 |
| Postgraduate | 14 | 24 |
| Parental status with dependents/children | ||
| No | 28 | 48 |
| Yes | 30 | 52 |
| Total | 58 | |
*Those who were born overseas, or those born in Australia who identify with another cultural heritage.
Factors determining importance of public engagement in health technology decision-making: modified nominal group results sorted by mean priority score
| Participant-identified factor | Number of groups | Number of participants voting on factor | Frequency of factors in top 10 | Proportion of participants ranking in top 10 (%) | Mean priority score |
|---|---|---|---|---|---|
| 1. Effectiveness (success rate) of the health technology | 4 | 38 | 35 | 92 | 6.9 |
| 2. Potential health gain from health technology | 5 | 48 | 46 | 96 | 6.2 |
| 3. Quality of HTA decision-making process | 3 | 30 | 27 | 90 | 6.2 |
| 4. Comparative cost and benefit | 2 | 20 | 17 | 85 | 5.5 |
| 5. Size of eligible population to have access* | 6 | 58 | 54 | 93 | 5.2 |
| 6. Purpose of the technology (life saving, relieving symptoms) | 4 | 38 | 28 | 74 | 5.0 |
| 7. Changes in quality of life | 5 | 48 | 37 | 77 | 4.8 |
| 8. Reason for the condition (role of lifestyle) | 1 | 9 | 5 | 56 | 4.8 |
| 9. Cost to patient (out of pocket) | 4 | 38 | 29 | 76 | 4.6 |
| 10. Societal impact | 3 | 30 | 25 | 83 | 4.3 |
| 11. Cost to taxpayer | 4 | 38 | 32 | 84 | 4.0 |
| 12. Quality of evidence | 5 | 48 | 30 | 63 | 4.0 |
| 13. Type of heath condition | 1 | 9 | 6 | 67 | 3.9 |
| 14. Severity of condition | 4 | 39 | 30 | 77 | 3.8 |
| 15. Likelihood of side effects | 3 | 28 | 21 | 75 | 3.6 |
| 16. Age of eligible population* | 5 | 49 | 36 | 73 | 3.6 |
| 17. Awareness of condition in community | 1 | 10 | 8 | 80 | 3.5 |
| 18. Prevention (avoiding future costs) | 3 | 28 | 17 | 61 | 3.2 |
| 19. Availability of alternatives | 5 | 48 | 34 | 71 | 2.9 |
| 20. Productivity gains | 2 | 20 | 14 | 70 | 2.6 |
| 21. Health priority | 2 | 20 | 11 | 55 | 2.5 |
| 22. Uncertainties in evidence (benefit) | 3 | 29 | 13 | 45 | 1.9 |
| 23. Characteristics of the health technology | 1 | 10 | 3 | 30 | 1.0 |
| 24. Background for assessing the health technology | 1 | 9 | 0 | 0 | 0.0 |
*Key factors where the directionality varied.
HTA, health technology assessment.