Beth A Tarini1, Norma-Jean Simon2, Katherine Payne3, Acham Gebremariam4, Angela Rose4, Lisa A Prosser5. 1. Department of Pediatrics, University of Iowa, Iowa City, IA; Child Health Research and Evaluation Center, Department of Pediatrics and Communicable Diseases, University of Michigan, Ann Arbor, MI. Electronic address: beth-tarini@uiowa.edu. 2. Division of Emergency Medicine, Lurie Children's Hospital, Chicago, IL. 3. Manchester Centre for Health Economics, The University of Manchester, Manchester, United Kingdom. 4. Child Health Research and Evaluation Center, Department of Pediatrics and Communicable Diseases, University of Michigan, Ann Arbor, MI. 5. Child Health Research and Evaluation Center, Department of Pediatrics and Communicable Diseases, University of Michigan, Ann Arbor, MI; Department of Health Management and Policy, School of Public Health, University of Michigan, Ann Arbor, MI.
Abstract
OBJECTIVE: To identify and quantify public preferences for attributes of newborn screening conditions. STUDY DESIGN: We conducted an online national survey of the public (n = 502) to evaluate preferences for attributes of candidate newborn screening conditions. Respondents were presented with hypothetical condition profiles that were defined using 10 attributes with 2-6 levels per attribute. Participants indicated whether they would recommend screening for a condition and which condition attributes were most and least important when making this decision (best-worst scaling). Difference scores were calculated and stratified by condition recommendation (recommend or not recommend for screening). Regression analyses were used to evaluate the effect of attributes on choice to screen or not screen. RESULTS: The number of babies diagnosed was important to those who would recommend newborn screening for a profile, and age at which the treatment would start was important to those who would not recommend newborn screening. Cost was considered to be a key attribute, and treatment effectiveness and impact of making the diagnosis through newborn screening were of low importance for both groups. CONCLUSION: Public preferences identified through survey methods that provide an adequate baseline understanding of newborn screening can be used to inform newborn screening decisions.
OBJECTIVE: To identify and quantify public preferences for attributes of newborn screening conditions. STUDY DESIGN: We conducted an online national survey of the public (n = 502) to evaluate preferences for attributes of candidate newborn screening conditions. Respondents were presented with hypothetical condition profiles that were defined using 10 attributes with 2-6 levels per attribute. Participants indicated whether they would recommend screening for a condition and which condition attributes were most and least important when making this decision (best-worst scaling). Difference scores were calculated and stratified by condition recommendation (recommend or not recommend for screening). Regression analyses were used to evaluate the effect of attributes on choice to screen or not screen. RESULTS: The number of babies diagnosed was important to those who would recommend newborn screening for a profile, and age at which the treatment would start was important to those who would not recommend newborn screening. Cost was considered to be a key attribute, and treatment effectiveness and impact of making the diagnosis through newborn screening were of low importance for both groups. CONCLUSION: Public preferences identified through survey methods that provide an adequate baseline understanding of newborn screening can be used to inform newborn screening decisions.
Authors: Sylvia M van der Pal; Sophie Wins; Jasmijn E Klapwijk; Tessa van Dijk; Adriana Kater-Kuipers; Catharina P B van der Ploeg; Suze M P J Jans; Stephan Kemp; Rendelien K Verschoof-Puite; Lion J M van den Bosch; Lidewij Henneman Journal: PLoS One Date: 2022-08-18 Impact factor: 3.752