2010 - 2020年劳动力预测:美国物理治疗师年度供需预测模型
Workforce Projections 2010-2020: Annual Supply and Demand Forecasting Models for Physical Therapists Across the United States.
作者信息
Landry Michel D, Hack Laurita M, Coulson Elizabeth, Freburger Janet, Johnson Michael P, Katz Richard, Kerwin Joanne, Smith Megan H, Wessman Henry C Bud, Venskus Diana G, Sinnott Patricia L, Goldstein Marc
机构信息
M.D. Landry, BScPT, PhD, Doctor of Physical Therapy Division, Department of Orthopaedic Surgery, Duke University Medical Center, Box 104002, Durham, NC 27708 (USA).
L.M. Hack, PT, DPT, MBA, PhD, FAPTA, Bryn Mawr, Pennsylvania.
出版信息
Phys Ther. 2016 Jan;96(1):71-80. doi: 10.2522/ptj.20150010. Epub 2015 Oct 15.
BACKGROUND
Health human resources continue to emerge as a critical health policy issue across the United States.
OBJECTIVE
The purpose of this study was to develop a strategy for modeling future workforce projections to serve as a basis for analyzing annual supply of and demand for physical therapists across the United States into 2020.
DESIGN
A traditional stock-and-flow methodology or model was developed and populated with publicly available data to produce estimates of supply and demand for physical therapists by 2020.
METHODS
Supply was determined by adding the estimated number of physical therapists and the approximation of new graduates to the number of physical therapists who immigrated, minus US graduates who never passed the licensure examination, and an estimated attrition rate in any given year. Demand was determined by using projected US population with health care insurance multiplied by a demand ratio in any given year. The difference between projected supply and demand represented a shortage or surplus of physical therapists.
RESULTS
Three separate projection models were developed based on best available data in the years 2011, 2012, and 2013, respectively. Based on these projections, demand for physical therapists in the United States outstrips supply under most assumptions.
LIMITATIONS
Workforce projection methodology research is based on assumptions using imperfect data; therefore, the results must be interpreted in terms of overall trends rather than as precise actuarial data-generated absolute numbers from specified forecasting.
CONCLUSIONS
Outcomes of this projection study provide a foundation for discussion and debate regarding the most effective and efficient ways to influence supply-side variables so as to position physical therapists to meet current and future population demand. Attrition rates or permanent exits out of the profession can have important supply-side effects and appear to have an effect on predicting future shortage or surplus of physical therapists.
背景
健康人力资源在美国仍然是一个关键的卫生政策问题。
目的
本研究的目的是制定一种未来劳动力预测建模策略,作为分析到2020年美国物理治疗师年度供需情况的基础。
设计
开发了一种传统的存量-流量方法或模型,并用公开可得的数据进行填充,以得出到2020年物理治疗师的供需估计。
方法
供应量的确定方式为,将估计的物理治疗师数量、新毕业生的近似数量与移民的物理治疗师数量相加,减去从未通过执照考试的美国毕业生数量,再减去任何给定年份的估计损耗率。需求量通过将预计有医疗保险的美国人口乘以任何给定年份的需求比率来确定。预计供应量与需求量之间的差异代表物理治疗师的短缺或过剩。
结果
分别基于2011年、2012年和2013年可获得的最佳数据开发了三个独立的预测模型。基于这些预测,在大多数假设下,美国对物理治疗师的需求超过了供应。
局限性
劳动力预测方法研究基于使用不完美数据的假设;因此,结果必须根据总体趋势来解释,而不是作为从特定预测中精确生成的精算数据的绝对数字。
结论
这项预测研究的结果为讨论和辩论提供了基础,即关于影响供应方变量的最有效和高效方式,以便使物理治疗师能够满足当前和未来人口需求。该行业的损耗率或永久退出可能会产生重要的供应方影响,并且似乎对预测物理治疗师未来的短缺或过剩有影响。