Literature DB >> 23218810

Physician characteristics and prescription drug use during pregnancy: a population-based study.

Sung-Shun Weng1, Yi-Hua Chen, Ching-Chun Lin, Joseph J Keller, I-Te Wang, Herng-Ching Lin.   

Abstract

PURPOSE: We aimed to explore the relationship between physician characteristics and their prescribing behavior regarding category D and X drugs for pregnant women by using a population-based data set in Taiwan.
METHODS: The sampled population for the study included 14,430 women. These women received a total of 198,420 prescriptions during pregnancy. We performed multivariate logistic regression analysis by using generalized estimated equations to assess the odds ratio (OR) of the prescription for categories D and X drugs among doctors after adjusting for maternal age and chronic disease.
RESULTS: Of the total 198,420 prescriptions, 4.2% were prescribed category D and X drugs. The covariate-adjusted odds for physicians aged between 40 and 49 years and 50 and 59 years for prescribing category D and X drugs to pregnant women were 1.22 (95% confidence interval [95% CI], 1.15-1.31) and 1.51 (95% CI, 1.40-1.64) times that of physicians aged between 30 and 39 years, respectively. Male physicians were less likely to prescribe category D and X drugs to pregnant women than female physicians (OR, 0.69; 95% CI, 0.63-0.75). In addition, physicians specializing in "other" specialties were more likely (OR, 1.46; 95% CI, 1.41-1.54) to prescribe category D and X drugs compared with those specializing in obstetrics/gynecology, whereas physicians practicing in central Taiwan were less likely (OR, 0.85; 95% CI, 0.80-0.89) than their counterparts in other regions of Taiwan to prescribe category D and X drugs.
CONCLUSIONS: We conclude that physician characteristics, including sex, age, specialty, and practice location, were associated with the prescription of category D and X drugs for pregnant women.
Copyright © 2013 Elsevier Inc. All rights reserved.

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Year:  2012        PMID: 23218810     DOI: 10.1016/j.annepidem.2012.11.007

Source DB:  PubMed          Journal:  Ann Epidemiol        ISSN: 1047-2797            Impact factor:   3.797


  1 in total

1.  Can gender difference in prescription drug use be explained by gender-related morbidity?: a study on a Swedish population during 2006.

Authors:  Jessica Skoog; Patrik Midlöv; Lars Borgquist; Jan Sundquist; Anders Halling
Journal:  BMC Public Health       Date:  2014-04-08       Impact factor: 3.295

  1 in total

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