Abstract

Vesicoureteral reflux is a common pediatric urologic condition that often has several reasonable treatment options depending on condition severity. In order to choose the best treatment for their child, parents are expected to make judgements that weigh attributes such as treatment cost, effectiveness, and complication rate. Prior research has shown that factors such as treating hospital and surgeon also influence patient treatment choice. This study evaluates parental preferences for reflux treatment using profile case best-worst scaling, an emerging technique in both urologic and health care preference estimation. The study also uses latent class analysis (LCA) to identify parental sub-classes with different preferences. Data were collected from a community sample of parents via a multimedia best-worst scaling survey instrument published to Amazon's Mechanical Turk online community. After extensive review of the literature, reflux attributes and attribute levels were selected to correspond with available treatments. The profile case best-worst scaling exercise elicited preferences for granular attributes of reflux treatments. Data were analyzed using multinomial logistic regression and class analysis to distinguish preference heterogeneity. Probability scaled values (PSVs) reflected the order of desirability of the attributes. Attribute preference importance was rescaled into dollar units for comparison as well. We analyzed data for 248 respondents. The highest treatment effectiveness was more desirable than all other leveled treatment attributes (PSV 17.8, all p<0.01) (Table). Low complication rate and doctor recommendation were amongst the other most desirable treatment attributes (PSV 11.3 and 9.0, respectively). Latent class analysis identified a class with more extreme preferences, for whom doctor recommendation and avoiding hospitalization were particularly desirable. In this community-based sample, high treatment effectiveness and low complication rate were the most desirable treatment attributes to parents, though parents likely have heterogenous treatment preference structures. Shared parent-physician decision-making that incorporates parental preferences will likely allow more effective, targeted decision-making in the future.

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