Characteristics of Oklahoma Pediatricians Who Dismiss Families for Refusing Vaccines.

Vaccine refusal is increasing. Objectives were to assess frequency of declining or dismissing patients who refuse vaccines, which vaccine(s) prompt pediatricians to decline/dismiss patients, and demographics of pediatricians who decline/dismiss patients. Active members of the Oklahoma American Academy of Pediatricians (AAP) were surveyed. Chi-square tests with non-overlapping 95% confidence intervals compared proportions of providers across various metrics. In all, 47% (48/103) versus 35% (34/98) reported declining versus dismissing patients for refusing vaccines, respectively. Pediatricians were unlikely to decline/dismiss patients if they refused influenza, human papilloma virus (HPV), or MenB vaccines. Pediatricians with more years in practice were less likely to decline 15% (9/62) versus 44% (16/36), P = 0.002 and dismiss 8% (5/62) versus 33% (12/36), P = 0.002 patients. Rural pediatricians were less likely than urban to decline 12% (2/17) versus 29% (26/89), P = NS and dismiss patients 0% (0/17) versus 21% (19/89), P = 0.04. Dismissing/declining patients for vaccine refusal is more common among Oklahoma pediatricians than nationally reported. Patterns differ by practice setting, years in practice, and specific vaccine refused.

The effect of e-cigarette indoor vaping restrictions on adult prenatal smoking and birth outcomes.

We estimate the effect of county-level e-cigarette indoor vaping restrictions on adult prenatal smoking and birth outcomes using United States birth record data for 7 million pregnant women living in places already comprehensively banning the indoor use of traditional cigarettes. We use both cross-sectional and panel data to estimate our difference-in-difference models. Our panel model results suggest that adoption of a comprehensive indoor vaping restriction increased prenatal smoking by 2.0 percentage points, which is double the estimate obtained from a cross-sectional model. We also document heterogeneity in effect sizes along lines of age, education, and type of insurance.