Valuation of Child Behavioral Problems from the Perspective of US Adults

Objective. To assess preferences between child behavioral problems and estimate their value on a quality-adjusted life year (QALY) scale. Methods. Respondents, age 18 or older, drawn from a nationally representative panel between August 2012 and February 2013 completed a series of paired comparisons, each involving a choice between 2 different behavioral problems described using the Behavioral Problems Index (BPI), a 28-item instrument with 6 domains (Anxious/Depressed, Headstrong, Hyperactive, Immature Dependency, Anti-social, and Peer Conflict/Social Withdrawal). Each behavioral problem lasted 1 or 2 years for an unnamed child, age 7 or 10 years, with no suggested relationship to the respondent. Generalized linear model analyses estimated the value of each problem on a QALY scale, considering its duration and the child’s age. Results. Among 5207 eligible respondents, 4155 (80%) completed all questions. Across the 6 domains, problems relating to antisocial behavior were the least preferred, particularly the items related to cheating, lying, bullying, and cruelty to others. Conclusions. The findings are the first to produce a preference-based summary measure of child behavioral problems on a QALY scale. The results may inform both clinical practice and resource allocation decisions by enhancing our understanding of difficult tradeoffs in how adults view child behavioral problems. Understanding US values also promotes national health surveillance by complementing conventional measures of surveillance, survival, and diagnoses.

[1]  R. Hays,et al.  US valuation of health outcomes measured using the PROMIS-29. , 2013, Value in health : the journal of the International Society for Pharmacoeconomics and Outcomes Research.

[2]  L. Prosser,et al.  Values and evidence colliding: health technology assessment in child health , 2013, Expert review of pharmacoeconomics & outcomes research.

[3]  J. Brazier,et al.  US Valuation of the SF-6D , 2013, Medical decision making : an international journal of the Society for Medical Decision Making.

[4]  D. Feeny Standardization and Regulatory Guidelines May Inhibit Science and Reduce the Usefulness of Analyses Based on the Application of Preference-Based Measures for Policy Decisions , 2013, Medical decision making : an international journal of the Society for Medical Decision Making.

[5]  O. Rivero-Arias,et al.  QL1 EQ-5D-5L Valuation Project for the Spanish Population – A Descriptive Overview and Preliminary Results , 2012 .

[6]  John P. A. Ioannidis,et al.  Methodological standards and patient-centeredness in comparative effectiveness research: the PCORI perspective. , 2012, JAMA.

[7]  Anne C. Beal,et al.  The Patient-Centered Outcomes Research Institute (PCORI) national priorities for research and initial research agenda. , 2012, Journal of the American Medical Association (JAMA).

[8]  L. Gerald,et al.  Measurement Characteristics of the Pediatric Asthma Health Outcome Measure , 2012, The Journal of asthma : official journal of the Association for the Care of Asthma.

[9]  F. Johnson,et al.  Healthy-days time equivalents for outcomes of acute rotavirus infections. , 2011, Vaccine.

[10]  M. Weinstein,et al.  Legislating against use of cost-effectiveness information. , 2010, The New England journal of medicine.

[11]  J. Jelsma A comparison of the performance of the EQ-5D and the EQ-5D-Y Health-Related Quality of Life instruments in South African children , 2010, International journal of rehabilitation research. Internationale Zeitschrift fur Rehabilitationsforschung. Revue internationale de recherches de readaptation.

[12]  Michael Herdman,et al.  Development of the EQ-5D-Y: a child-friendly version of the EQ-5D , 2010, Quality of Life Research.

[13]  G. Bonsel,et al.  Feasibility, reliability, and validity of the EQ-5D-Y: results from a multinational study , 2010, Quality of Life Research.

[14]  Wendy J. Ungar,et al.  Economic Evaluation in Child Health , 2010 .

[15]  W. Greiner,et al.  Cross-sectional validity of the EQ-5D-Y as a generic health outcome instrument in children and adolescents with cystic fibrosis in Germany , 2009, BMC pediatrics.

[16]  A. Carroll,et al.  Improving decision analyses: parent preferences (utility values) for pediatric health outcomes. , 2009, The Journal of pediatrics.

[17]  Benjamin M Craig,et al.  Modeling Ranking, Time Trade-Off, and Visual Analog Scale Values for EQ-5D Health States: A Review and Comparison of Methods , 2009, Medical care.

[18]  S. Petrou,et al.  Estimating Preference-Based Health Utilities Index Mark 3 Utility Scores for Childhood Conditions in England and Scotland , 2009, Medical decision making : an international journal of the Society for Medical Decision Making.

[19]  Benjamin M Craig,et al.  The episodic random utility model unifies time trade-off and discrete choice approaches in health state valuation , 2009, Population health metrics.

[20]  J. Salomon,et al.  PMC29 INTERNATIONAL VALUATION SET FOR EQ-5D HEALTH STATES , 2008 .

[21]  Dimitri A Christakis,et al.  Violent Television Viewing During Preschool Is Associated With Antisocial Behavior During School Age , 2007, Pediatrics.

[22]  F. Sassi Calculating QALYs, comparing QALY and DALY calculations. , 2006, Health policy and planning.

[23]  M. Bell,et al.  Development of the multi-attribute Pediatric Asthma Health Outcome Measure (PAHOM). , 2005, International journal for quality in health care : journal of the International Society for Quality in Health Care.

[24]  L. Matza,et al.  Health State Utilities for Childhood Attention-Deficit/Hyperactivity Disorder Based on Parent Preferences in the United Kingdom , 2005, Medical decision making : an international journal of the Society for Medical Decision Making.

[25]  K. Weinfurt,et al.  Parents' reported preference scores for childhood atopic dermatitis disease states , 2004, BMC pediatrics.

[26]  Dimitri A Christakis,et al.  Early television exposure and subsequent attentional problems in children. , 2004, Pediatrics.

[27]  B. Zuckerman,et al.  Association between clinically meaningful behavior problems and overweight in children. , 2003, Pediatrics.

[28]  J. Fox-Rushby,et al.  Calculating and presenting disability adjusted life years (DALYs) in cost-effectiveness analysis. , 2001, Health policy and planning.

[29]  D. Fenster Increased Behavior Problems Associated With Delayed School Entry and Delayed School Progress , 1998, Pediatrics.

[30]  P. Auinger,et al.  Increased behavior problems associated with delayed school entry and delayed school progress. , 1997, Pediatrics.

[31]  A. Williams,et al.  Intergenerational equity: an exploration of the 'fair innings' argument. , 1997, Health economics.

[32]  P. Auinger,et al.  Bed-wetting in US children: epidemiology and related behavior problems. , 1996, Pediatrics.

[33]  K. Wells,et al.  Prevalence of behavior problems in US children with asthma. , 1995, Archives of pediatrics & adolescent medicine.

[34]  V. King Variation in the Consequences of Nonresident Father Involvement for Children's Well-Being. , 1994 .

[35]  V. King Nonresident Father Involvement and Child Well-Being: , 1994 .

[36]  A. J. Hawkins,et al.  Father's Presence and Young Children's Behavioral and Cognitive Adjustment , 1993 .

[37]  S. Gortmaker,et al.  Maternal smoking and behavior problems of children. , 1992, Pediatrics.

[38]  S. Gortmaker,et al.  Chronic conditions, socioeconomic risks, and behavioral problems in children and adolescents. , 1990, Pediatrics.

[39]  J. Peterson,et al.  Marital Disruption, Parent-Child Relationships, and Behavior Problems in Children. , 1986 .

[40]  J. C. Hita,et al.  EQ-5D-5L valuation project for the Spanish population: a descriptive overview and preliminary results , 2013 .

[41]  R. Keren,et al.  Measuring Health Preferences for Use in Cost-Utility and Cost-Benefit Analyses of Interventions in Children , 2012, PharmacoEconomics.

[42]  J. Brazier,et al.  Valuing child health utility 9D health states with a young adolescent sample , 2011, Applied health economics and health policy.

[43]  C. Raver,et al.  Improving Preschool Classroom Processes: Preliminary Findings from a Randomized Trial Implemented in Head Start Settings. , 2008, Early childhood research quarterly.

[44]  M. Trommald,et al.  Are QALYs based on time trade-off comparable?--A systematic review of TTO methodologies. , 2005, Health economics.

[45]  D. Fryback,et al.  HALYS and QALYS and DALYS, Oh My: similarities and differences in summary measures of population Health. , 2002, Annual review of public health.

[46]  C. Edelbrock,et al.  Behavioral problems and competencies reported by parents of normal and disturbed children aged four through sixteen. , 1981, Monographs of the Society for Research in Child Development.

[47]  D. McFadden Conditional logit analysis of qualitative choice behavior , 1972 .