Erroneous calculation of the expected date of delivery by medical professionals

R. Parikh, Kirti Pandia
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引用次数: 2

Abstract

Background: Naegele's rule, which is used to estimate the expected date of delivery (EDD), presumes that the subject is menstruating regularly every 28 days. For subjects with lengthier or shorter cycles, correction is needed while calculating the EDD. A majority of medical professionals are unaware of this and succumb to errors. The author has published Parikh's formula as an alternative that does not require any additional correction. This study was aimed at evaluating awareness among medical professionals regarding the importance of menstrual history and utility of Parikh's formula in minimizing errors. Materials and Methods: One twenty-six medical students and interns from four medical colleges in India and 24 medical officers from a primary health center were enrolled for the study. A questionnaire with a history of a woman with a regular cycle of 35 days was distributed to each participant and they were asked to calculate the EDD. Participants were then educated on Parikh's formula and asked to calculate the EDD again by using that formula. Results: Only 10 (6.66%) of 150 participants calculated the EDD correctly by using their conventional methods. After explaining Parikh's formula, this proportion raised to 99%, i.e., 147 of 150 participants, the difference being statistically significant at P Conclusion: A majority of students, interns, and medical officers are unaware of the importance of previous menstrual history while calculating the EDD. If Parikh's formula is used, errors in calculating the EDD can be reduced significantly.
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医疗专业人员对预产期的错误计算
背景:Naegele法则用于估计预产期(EDD),它假定受试者每28天有规律地来一次月经。对于周期较长或较短的受试者,在计算EDD时需要进行校正。大多数医疗专业人员没有意识到这一点,并屈服于错误。作者发表了Parikh的公式,作为不需要任何额外更正的替代方法。本研究旨在评估医学专业人员对月经史的重要性和Parikh公式在尽量减少错误方面的效用的认识。材料和方法:来自印度四所医学院的26名医科学生和实习生以及来自初级卫生中心的24名医务人员被纳入研究。研究人员向每位参与者分发了一份问卷,其中包含一名月经周期为35天的女性的病史,并要求她们计算EDD。然后,参与者被告知Parikh的公式,并被要求使用该公式再次计算EDD。结果:150名受试者中,仅10人(6.66%)使用常规方法正确计算EDD。在解释Parikh的公式后,这一比例上升到99%,即150名参与者中有147名,差异在P处具有统计学意义。结论:大多数学生、实习生和医务人员在计算EDD时没有意识到以往月经史的重要性。如果使用Parikh公式,计算EDD的误差可以显著减少。
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