
NICE should consider using them for patient centred evaluations of technologies In many publicly provided healthcare systems, limited resources coupled with unlimited demand result in decisions having to be made about the efficient allocation of scarce resources. This raises questions of how services should be provided (for example, how should patients with cancer be treated? should central clinics, which reduce waiting time but increase travel time for patients, be introduced?) through to the optimal provision and the financing of health care (for example, how should we pay doctors to encourage them to work in remote and rural areas? what would encourage nurses to return to the labour market?). Given the lack of a market for health care, economics techniques inform such decisions.1 One approach adopted by and further developed in health economics over the past decade is discrete choice experiments.2 3 In this issue Sculpher et al use this approach to consider patients' preferences in the treatment of prostate cancer (p 382).4 …
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 347 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 1% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 1% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
