Paynter Sophie, Iles Ross, Hay Margaret
Department of Physiotherapy, School of Primary and Allied Health Care, Faculty of Medicine Nursing and Health Sciences, 47-49 Moorooduc Highway, Frankston, 3199, Australia.
Department of Physiotherapy, School of Primary and Allied Health Care, Faculty of Medicine Nursing and Health Sciences, 47-49 Moorooduc Highway, Frankston, 3199, Australia; Insurance Work and Health Group, School of Public Health and Preventive Medicine, Monash University, 553 St Kilda Rd, Melbourne, 3004, Australia.
Physiotherapy. 2022 Mar;114:1-8. doi: 10.1016/j.physio.2021.11.001. Epub 2021 Nov 12.
Despite a large body of research on selection in medical education, very little is conducted in other health professions. This study investigated the predictive validity of multiple selection tools on academic and clinical performance outcomes of undergraduate physiotherapy students.
A retrospective observational study.
Undergraduate physiotherapy program in Australia.
497 undergraduate physiotherapy students across seven entry cohorts. Including students directly from secondary school (n=381) and with prior tertiary study (n=116).
Academic performance as measured by written examinations. Clinical performance, measured by Objective Structured Clinical Examinations (OSCEs) during on-campus units and the Assessment of Physiotherapy Practice (APP) for off-campus clinical placements. Predictor variables included selection tools (academic achievement, interview, aptitude test) and demographic variables (age, gender).
Selection interview was a positive predictor of OSCEs and final year clinical performance in direct school leaver participants. Academic achievement scores from selection positively predicted written examinations scores.
Clinical and academic performance were predicted by tools measuring different domains at selection. Assessing broadly across academic and non-academic domains at selection can be valuable in identifying applicants who will be able to meet the range of outcomes for course completion and subsequent registration in the physiotherapy profession.
尽管在医学教育领域有大量关于选拔的研究，但在其他健康专业领域开展的此类研究却很少。本研究调查了多种选拔工具对本科物理治疗专业学生学业和临床成绩结果的预测效度。
一项回顾性观察研究。
澳大利亚的本科物理治疗项目。
来自七个入学队列的497名本科物理治疗专业学生。包括直接从中学入学的学生（n = 381）和有高等教育学习经历的学生（n = 116）。
通过笔试衡量的学业成绩。临床成绩，在校内单元期间通过客观结构化临床考试（OSCE）以及校外临床实习的物理治疗实践评估（APP）来衡量。预测变量包括选拔工具（学业成绩、面试、能力倾向测试）和人口统计学变量（年龄、性别）。
选拔面试是直接从中学入学的参与者OSCE成绩和最后一年临床成绩的正向预测指标。选拔中的学业成绩分数对笔试成绩有正向预测作用。
选拔时测量不同领域的工具可预测临床和学业成绩。在选拔时广泛评估学术和非学术领域，对于识别能够满足课程结业及后续物理治疗专业注册所需一系列结果的申请者可能具有重要价值。
