Crowdsourcing utility estimation for spina bifida in the general population.

摘要: INTRODUCTION Cost-utility analyses (CUA) are useful when the treatment conditions depend on patient preferences that in turn dependent health state utility value. Spina bifida (SB) is an example of such a preference-sensitive condition. Historically, SB value for CUA has been gathered via traditional face-to-face interview. However, due to funding and time constrains, estimation online crowdsourcing recently gained popularity. Our aim was estimate generic using validated tool. METHODS A cross-sectional survey American adults conducted time-trade-off (TTO) method. Participants were recruited from interface, Amazon's Mechanical Turk (mTurk). Demographic information prior knowledge assessed. Respondents provided written passage video explaining its potential associated comorbidities. queried hypothetical ascending time-trades child-parent dyad perspective determine affected 6-year-old child. also asked indicate percentage traded their life relation child's. Utility estimates then calculated compared bivariate multivariate analyses. RESULTS We obtained 503 responses (85% response rate). Mean respondent age 34 (± 11); 247 (49%) female; 386 (77%) white; 189 (38%) married, 234 (46%) had children. proportion longevity by participants dyadic interaction 66% 27) parent's life. Only 51 respondents (9%) reported having "ample" SB; 8 (0.02%) themselves. Few others previous experience with or myelomeningocele either child (4, 1%), friend/relative (28, 5%). Compared perfect 1.0, we found mean utilities 0.85 (± 0.20) SB. CONCLUSIONS feasible through crowdsourcing, resultant values similar techniques. Subjects view be inferior health.