Research Objective. To track response rates across time for surveys of pediatricians, to explore whether response bias is present for these surveys, and to examine whether response bias increases with lower response rates. Data Source/Study Setting. A total of 63,473 cases were gathered from 50 different surveys of pediatricians conducted by the American Academy of Pediatrics (AAP) since 1994. Thirty-one surveys targeted active U.S. members of the AAP, six targeted pediatric residents, and the remaining 13 targeted AAP-member and nonmember pediatric subspecialists. Information for the full target samples, including nonrespondents, was collected using administrative databases of the AAP and the American Board of Pediatrics. Study Design. To assess bias for each survey, age, gender, location, and AAP membership type were compared for respondents and the full target sample. Correlational analyses were conducted to examine whether surveys with lower response rates had increasing levels of response bias. Principal Findings. Response rates to the 50 surveys examined declined significantly across survey years (1994)(1995)(1996)(1997)(1998)(1999)(2000)(2001)(2002). Response rates ranged from 52 to 81 percent with an average of 68 percent. Comparisons between respondents and the full target samples showed the respondent group to be younger, to have more females, and to have less specialty-fellow members. Response bias was not apparent for pediatricians' geographical location. The average response bias, however, was fairly small for all factors: age (0.45 years younger), gender (1.4 percentage points more females), and membership type (1.1 percentage points fewer specialty-fellow members). Gender response bias was found to be inversely associated with survey response rates (r 5 À 0.38). Even for the surveys with the lowest response rates, amount of response bias never exceeded 5 percentage points for gender, 3 years for age, or 3 percent for membership type. Conclusions. While response biases favoring women, young physicians, and nonspecialty-fellow members were found across the 52-81 percent response rates examined in this study, the amount of bias was minimal for these factors that could be tested. At least for surveys of pediatricians, more attention should be devoted by investigators to assessments of response bias rather than relying on response rates as a proxy of response bias.

Our findings indicate that, despite the AAP policy and national efforts to improve developmental screening in the primary care setting, few pediatricians use effective means to screen their patients for developmental problems. It is uncertain whether standardized screening, as it is practiced currently, is associated with an increase in the self-reported identification of children with developmental disabilities.

OBJECTIVE The purpose of this study was to examine pediatrician implementation of BMI and provider interventions for childhood overweight prevention and treatment. METHODS Data were obtained from the American Academy of Pediatrics (AAP) Periodic Survey of Fellows No. 65, a nationally representative survey of AAP members. Surveys that addressed the provision of screening and management of childhood overweight and obesity in primary care settings were mailed to 1622 nonretired US AAP members in 2006. RESULTS One thousand five (62%) surveys were returned; 677 primary care clinicians in active practice were eligible for the survey. Nearly all respondents (99%) reported measuring height and weight at well visits, and 97% visually assess children for overweight at most or every well-child visit. Half of the respondents (52%) assess BMI percentile for children older than 2 years. Most pediatricians reported that they do not have time to counsel on overweight and obesity, that counseling has poor results, and that having simple diet and exercise recommendations would be helpful in their practice. Pediatricians in large practices and those who had attended continuing medical education on obesity were more familiar with national expert guidelines, were more likely to use BMI percentile, and had higher self-efficacy in practices related to childhood and adolescent overweight and obesity. Multivariate analysis revealed that pediatricians with better access to community and adjunct resources were more likely to use BMI percentile. CONCLUSIONS BMI-percentile screening in primary pediatric practice is underused. Most pediatricians believe that they can and should try to prevent overweight and obesity, yet few believe there are good treatments once a child is obese. Training, time, and resource limitations affect BMI-percentile use. Awareness of national guidelines may improve rates of BMI-percentile use and recognition of opportunities to prevent childhood and adolescent obesity.

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