S F Ahmed1, W A Smith, C Blamires. 1. Department of Child Health, Royal Hospital for Sick Children, Yorkhill, Glasgow G3 8SJ, UK. s.f.ahmed@clinmed.gla.ac.uk
Abstract
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 family's 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.
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 family's 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.
Authors: Daniel A Waschbusch; Charles E Cunningham; William E Pelham; Heather L Rimas; Andrew R Greiner; Elizabeth M Gnagy; James Waxmonsky; Gregory A Fabiano; Jessica A Robb; Lisa Burrows-Maclean; Mindy Scime; Martin T Hoffman Journal: J Clin Child Adolesc Psychol Date: 2011
Authors: Charles E Cunningham; Ken Deal; Heather Rimas; Don H Buchanan; Michelle Gold; Katherine Sdao-Jarvie; Michael Boyle Journal: J Abnorm Child Psychol Date: 2008-05-15
Authors: Carl-Joachim Partsch; Dirk Schnabel; Sarah Ehtisham; Helen C Johnstone; Markus Zabransky; Wieland Kiess Journal: Med Devices (Auckl) Date: 2015-09-15
Authors: Robert Rapaport; Paul Saenger; Heinrich Schmidt; Yukihiro Hasegawa; Michel Colle; Sandro Loche; Sandra Marcantonio; Walter Bonfig; Markus Zabransky; Fima Lifshitz Journal: Med Devices (Auckl) Date: 2013-09-02