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小学同学特征与学校护理对高中毕业的预测作用

Primary school classmate characteristics and school nursing predicting graduation from high school.

作者信息

McKinley Yoder Claire, Cantrell Mary Ann, Hinkle Janice L

机构信息

University of Portland, Portland, OR, USA.

M. Louise Fitzpatrick College of Nursing, Villanova University, Villanova, PA, USA.

出版信息

Public Health Nurs. 2021 Sep;38(5):760-769. doi: 10.1111/phn.12896. Epub 2021 Mar 22.

Abstract

OBJECTIVES

To examine how primary school context variables, such as total students in the school, students with disability, and aspects of school nurse workload, predict later educational outcomes of high school attendance, being on-track to graduate, and graduation.

METHODS

This secondary analysis of 3,782 student records from 2008 to 2018 was conducted using United States public-school district data.

RESULTS

Classmate attendance in fifth-grade predicted being on-track to graduate (adjusted odds ratio [AOR] = 1.42 [95% confidence interval [CI] = 1.27, 1.60]) and graduation (AOR = 1.14 [95% CI = 1.03, 1.26]). School nurse workload aspects affected being on-track to graduate: (low-income students per school nurse [AOR = 0.77 [95% CI = 0.70, 0.85]; total students per school nurse [AOR = 1.3 [1.18, 1.44]) and graduation (low-income students per school nurse [AOR = 0.82 [95% CI = 0.75, 0.90]; total students per school nurse [AOR = 1.4 [1.26, 1.57]).

CONCLUSION

Characteristics of the school population such as classmate attendance and students with limited resources per school nurse are areas for future interventions as they affect student educational outcomes and lifelong health.

摘要

目标

研究小学环境变量,如学校总学生数、残疾学生以及学校护士工作量的各个方面,如何预测高中入学、有望毕业和毕业等后期教育成果。

方法

利用美国公立学区数据对2008年至2018年的3782份学生记录进行二次分析。

结果

五年级时的同学出勤率可预测有望毕业(调整优势比[AOR]=1.42[95%置信区间[CI]=1.27,1.60])和毕业情况(AOR=1.14[95%CI=1.03,1.26])。学校护士工作量的各个方面会影响有望毕业情况:(每名学校护士负责的低收入学生数[AOR=0.77[95%CI=0.70,0.85];每名学校护士负责的总学生数[AOR=1.3[1.18,1.44])以及毕业情况(每名学校护士负责的低收入学生数[AOR=0.82[95%CI=0.75,0.90];每名学校护士负责的总学生数[AOR=1.4[1.26,1.57])。

结论

学校人口特征,如同班同学出勤率以及每名学校护士负责的资源有限的学生数,是未来干预的重点领域,因为它们会影响学生的教育成果和终身健康。

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