M. Ryan et al., Trade-offs between location and waiting times in the provision of health care: the case of elective surgery on the Isle of Wight, J PUBL H M, 22(2), 2000, pp. 202-210
Citations number
42
Categorie Soggetti
Public Health & Health Care Science","Envirnomentale Medicine & Public Health
Background Recent UK government documents have stated that, within the Nati
onal Health Service, consumers should be more involved in decision-making.
This study considered the technique of discrete choice conjoint analysis (D
CCA) for eliciting community views regarding the importance of reducing wai
ting times. More specifically, the study aimed to establish whether residen
ts living on the Isle of Wight are prepared to travel to the mainland for e
lective surgery where waiting times are shorter but travel costs may be gre
ater, and, further, if residents are willing to travel, what reduction in w
aiting time and increase in travel costs would be acceptable.
Methods A DCCA questionnaire was sent to a random sample of 1000 individual
s living on the Isle of Wight.
Results Seventy-eight per cent of respondents were willing to travel to the
mainland for elective surgery. Of these, 48 per cent always chose the main
land and 30 per cent traded between island and mainland, depending on the l
evels of waiting time and travel costs. Whereas 'traders' preferred the Isl
e of Wight, they would forgo their preferred location if waiting times were
reduced by at least 3.9 months, and they were willing to pay over pound 12
for a 1 month reduction in waiting time. Different combinations of waiting
time reductions and travel cost increases that were acceptable to traders
were estimated.
Conclusions Carrying out elective surgery on the mainland offers the potent
ial to reduce waiting lists for island residents. The majority of responden
ts would be willing to travel to the mainland. However, one-fifth of respon
dents were not willing to travel to the mainland for elective surgery. The
preferences of this group are important in policy decisions. More generally
, the paper demonstrates the potential application of DCCA to public health
issues.