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11.
Fatemeh Darsareh Teamur Aghamolaei Minoo Rajaei Abdoulhossain Madani Shahram Zare 《Women and birth : journal of the Australian College of Midwives》2019,32(2):e166-e172
Problem
The steep increase and inappropriateness of caesarean birth represent a healthcare problem in Iran.Aim
The purpose of study was to evaluate the effect of a campaign based on social marketing to promote normal childbirth.Method
The study was designed as a prospective case control study. The social marketing campaign was implemented from March 2016 to January 2017. A demographic data questionnaire, obstetrical history questionnaire, maternal knowledge assessment questionnaire, and maternal health belief questionnaire comprised the instruments for this study. Only women planning a caesarean birth without any medical indications for the caesarean were enrolled in the study as a case. Those who met the same inclusion criteria and did not want to participate in the campaign were assigned to the control group.Findings
In total, 350 first-time pregnant women who composed the campaign group (n = 194) and control group (n = 156) completed the study. The mean baseline level of knowledge and Health Belief Model component score did not differ between the two groups at baseline. However, after the campaign, knowledge scores, perceived severity, perceived susceptibility, self-efficacy, and cues to action scores differed significantly between the campaign and control groups. The follow-up of all participants in both groups showed that 35.6% (n = 69) of participants in the campaign group chose natural birth as their birth method, whereas only 13.5% (n = 21) in the control group delivered their newborn vaginally.Conclusion
The B Butterfly social marketing campaign successfully targeted first-time pregnant women who chose to have unnecessary elective cesarean births. 相似文献12.
Constrained utility maximization underlies much consumer behavior in economics. Opportunities for solving important problems are ever present. However, most potential applications remain potential because existing software packages are not able to estimate the systems of equations necessary to identify the utility function. At least three features often conspire to make these problems intractable: the size of the system of equations that must be estimated, the lack of any theory for imposing zero restrictions on many of the parameters of the nonadditive utility functions, and the necessity to insure negative definiteness consistent with the axioms of consumer behavior. This paper develops an approach and illustrates the stepwise least squares estimator of a group of equations by application to the demand for food items. 相似文献