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Medical career selection among newly graduated physicians in Madinah, KSA

机译：KSA麦地那（Madinah）新毕业医师中的医疗职业选择

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Objectives: To study factors influencing medical career selection among newly graduated physicians in Al Madinah, KSA. Methods: A cross-sectional survey was conducted during the period from January through March 2011. The study recruited 170 interns and residents working at Al Madinah hospitals, KSA. An anonymous self-administered questionnaire was distributed that included personal data and factors influencing medical career selection. Appropriate statistical tests were used with p value ≤ 0.05 was used as an indicator of significant differences. Results: The response rate was 79.4% (n = 135, 42.2% male). Statistically significant differences were found between male and female participants regarding all the studied medical carrier selection aspects with the higher mean scores among males. Female participants chose the following specialties more than males: ENT, obstetrics and gynecology, pediatrics and medicine. Linear regression analysis showed specialty characters to be the most important predictor in male (R2= 0.821) and female (R2= 0.921). Marital status and specialty training process were found to play a key role among females and personality preference and work achievement among males. Conclusions: Medical career selection is a complex decision-making process. The study revealed specialty characters, personality preference and work achievement (males) and specialty training process and marital status (females), which are the most important predictors for selection.
机译：目的：研究在KSA Al Madinah刚毕业的医生中影响医疗职业选择的因素。方法：在2011年1月至2011年3月期间进行了横断面调查。该研究招募了170名在KSA Al Madinah医院工作的实习生和居民。分发了匿名的自我管理调查表，其中包括个人数据和影响医疗职业选择的因素。使用p值≤0.05的适当统计检验作为显着差异的指标。结果：缓解率为79.4％（n = 135，男性42.2％）。在所有研究的医疗载体选择方面，男性参与者和女性参与者之间存在统计学上的显着差异，其中男性平均得分较高。女性参加者选择以下专业比男性更多：耳鼻喉科，妇产科，儿科和医学。线性回归分析表明，在男性（R2 = 0.821）和女性（R2 = 0.921）中，专业特征是最重要的预测指标。发现婚姻状况和专业培训过程在女性中起着关键作用，而男性的性格偏好和工作成就则起着关键作用。结论：医疗职业选择是一个复杂的决策过程。该研究揭示了专业性格，性格偏好和工作成就（男性）以及专业培训过程和婚姻状况（女性），这是选择的最重要预测因素。

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