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Original articles |
1 Royal Hospital for Sick Children, Yorkhill, Glasgow, UK
2 Decision Modelling Consultancy Ltd, Lymm, Cheshire, UK
Correspondence to:
Dr S Faisal Ahmed, Department of Child Health, Royal Hospital for Sick Children, Yorkhill, Glasgow G3 8SJ, UK; s.f.ahmed{at}clinmed.gla.ac.uk
Background: Conjoint analysis involves the measurement of consumer preferences between choice alternatives.
Aims and objectives: To investigate the use of conjoint analysis in facilitating and understanding choice of growth hormone injection devices.
Method and subjects: 56 patients and their parents participated in an electronic, computer-based interview. The interview took a median time of 18 min (range 12–30) and allowed an immediate matching of injection devices to the familys preferences.
Results: Amongst the key drivers of choice, lack of bruising was rated highest and designated an index of 100. Compared to this, the remaining attributes in order of desirability were: auto-injector (98), lack of pain (93), lightweight (88), silent (82), ready-mixed (77), ease of holding (69), telephone helpline (66), needle-free (62), small size (60), nurse support (47), hidden needle (45), stored in fridge (13) and home delivery (6). Out of the 17 families who had already chosen a device previously by discussion with the clinic nurse, the computer model placed their device either as first or second out of seven devices tested.
Conclusion: Adaptive or interactive conjoint analysis applied at the patient level can facilitate the choice-making process whilst providing an insight into the relative importance of the key features that influence choice.
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