We examined data from a nationally implemented mentoring program over a 4-year period, to identify demographic and relationship characteristics associated with premature termination. Data were drawn from a sample of 82,224 mentor and mentees. We found matches who reported shared racial or ethnic identities were associated with lower likelihood of premature termination as was mentee's positive feelings of the relationship. We also found that, if data were used as a screening tool, the data were suboptimal for accuracy classifying premature closure with sensitivity and specificity values equal to 0.43 and 0.75. As programs and policymakers consider ways to improve the impact of mentoring programs, these results suggest programs consider the types of data being collected to improve impact of care.

中文翻译：

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监测指导关系质量以预测早期计划辍学的策略

我们检查了一项为期 4 年的全国实施的指导计划的数据，以确定与提前终止相关的人口统计和关系特征。数据来自 82,224 名导师和学员的样本。我们发现报告具有共同种族或民族身份的匹配项与受训者对这种关系的积极感受一样，过早终止的可能性较低。我们还发现，如果将数据用作筛选工具，则数据对于准确分类过早闭合的准确性和特异性值分别为 0.43 和 0.75 是次优的。随着计划和政策制定者考虑提高指导计划影响的方法，这些结果表明计划考虑收集的数据类型以提高护理的影响。