Lee Sun Young, Kim Soela, Kim Soyun, Shin Yukyung, Yim Jae-Joon, Hwang Hyeontaek, Kwon Youngsuk, Kim Un-Na, Do Young Kyung
Public Healthcare Center, Seoul National University Hospital, Jongno-gu, Seoul, Korea (the Republic of).
Department of Human Systems Medicine, Seoul National University College of Medicine, Jongno-gu, Seoul, Korea (the Republic of).
BMJ Open. 2025 Apr 7;15(4):e095173. doi: 10.1136/bmjopen-2024-095173.
Healthcare professionals must possess statistical literacy to provide evidence-based care and engage patients in decision-making. However, there have been concerns about healthcare professionals' inadequate understanding of health statistics. As an initial step in addressing the issue, we assessed the statistical literacy of medical students and doctors in South Korea by evaluating their comprehension of four statistical concepts: (a) single-event probability, (b) relative risk reduction, (c) positive predictive value and (d) 5-year survival rate.
Cross-sectional survey study.
The survey was conducted from October 2018 to January 2019 in one medical school and its affiliated teaching hospital in Seoul, South Korea.
303 medical students from all six grades and 291 doctors from various specialties.
The primary outcome measure was the correct answer rate for each question. The secondary outcome measure was the mean number of correct answers across the four statistical literacy questions, calculated for each individual.
The correct answer rates for basic numeracy questions were close to 100%. Regarding statistical literacy, 95.5% and 83.2% of the participants accurately understood single-event probability and relative risk reduction, respectively. However, only 49.3% and 49.2% of the participants accurately understood the positive predictive value and 5-year survival rate, respectively. The correct answer rates for the question about the 5-year survival rate differed significantly between students (40.9%) and doctors (57.7%) (p<0.001). There were no statistically significant differences in the correct answer rates for other questions, regardless of the student's grade level or the doctor's specialty.
Medical students and doctors have weaker statistical literacy than their basic numeracy. Therefore, it is essential to implement medical education and professional development programmes that focus on improving their statistical literacy. These programmes should specifically address measures of medical test accuracy and the distinction between a 5-year survival rate and mortality.
医疗保健专业人员必须具备统计素养,以便提供循证护理并让患者参与决策。然而,人们一直担心医疗保健专业人员对健康统计数据的理解不足。作为解决该问题的第一步,我们通过评估韩国医学生和医生对四个统计概念的理解,来评估他们的统计素养:(a)单事件概率,(b)相对风险降低,(c)阳性预测值,以及(d)5年生存率。
横断面调查研究。
该调查于2018年10月至2019年1月在韩国首尔的一所医学院及其附属教学医院进行。
来自六个年级的303名医学生和来自各个专业的291名医生。
主要结局指标是每个问题的正确答案率。次要结局指标是为每个个体计算的四个统计素养问题的正确答案平均数。
基本算术问题的正确答案率接近100%。关于统计素养,分别有95.5%和83.2%的参与者准确理解了单事件概率和相对风险降低。然而,分别只有49.3%和49.2%的参与者准确理解了阳性预测值和5年生存率。关于5年生存率问题的正确答案率在学生(40.9%)和医生(57.7%)之间存在显著差异(p<0.001)。无论学生的年级水平或医生的专业如何,其他问题的正确答案率均无统计学显著差异。
医学生和医生的统计素养比他们的基本算术能力更弱。因此,实施专注于提高他们统计素养的医学教育和专业发展计划至关重要。这些计划应特别针对医学检验准确性的测量以及5年生存率和死亡率之间的区别。