Literature DB >> 16011645

Using discrete choice experiments to go beyond clinical outcomes when evaluating clinical practice.

Mandy Ryan1, Kirsten Major, Diane Skåtun.   

Abstract

BACKGROUND: This study builds on the results of a randomized controlled trial concerned with examining the effect of reducing waiting times on the health status of patients referred for non-urgent rheumatology opinion. No difference in clinical outcomes was found between a 'fast-track' and 'ordinary' appointment system. This suggests that rationing by waiting times is not detrimental to health. However, such an approach ignores the value patients attach to reducing waiting time.
OBJECTIVES: To estimate the monetary value of reducing waiting time, as well as changes in duration of appointment and the introduction of a pain management service, in the provision of rheumatology services.
METHODS: Discrete choice experiment (DCE).
SETTING: The main outpatient clinic of the rheumatology service for the Lothian and Borders region.
SUBJECTS: 262 patients who had received a specialist rheumatology opinion--73 had received fast-track treatment, 65 standard care and 124 were non-trial patients.
RESULTS: A response rate of 71% was achieved. Patients valued a 9-week reduction in waiting time at 131 pounds sterling. However, the introduction of a pain management service was valued at 209 pounds sterling. Thus, the latter is of more value to respondents. Evidence was also found of the internal consistency and theoretical validity of the DCE approach.
CONCLUSIONS: The reduction of waiting times is a central plank of NHS policy. Whilst a reduction in waiting time is of value, a pain management service is of more benefit than a 9-week reduction in waiting time. DCE were shown to be a potentially useful technique for valuing different aspects of health care interventions.

Entities:  

Mesh:

Year:  2005        PMID: 16011645     DOI: 10.1111/j.1365-2753.2005.00539.x

Source DB:  PubMed          Journal:  J Eval Clin Pract        ISSN: 1356-1294            Impact factor:   2.431


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