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首页> 外文期刊>Family practice. >The never ending road: improving, adapting and refining a needs-based model to estimate future general practitioner requirements in two Australian states
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The never ending road: improving, adapting and refining a needs-based model to estimate future general practitioner requirements in two Australian states

机译:永无止境的道路:改善,适应和炼制基于需求的模型,以估计两个澳大利亚国家的未来一般从业者要求

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Background. Health workforce planning models have been developed to estimate the future health workforce requirements for a population whom they serve and have been used to inform policy decisions.Objectives. To adapt and further develop a need-based GP workforce simulation model to incorporate current and estimated geographic distribution of patients and GPs. Methods. A need-based simulation model that estimates the supply of GPs and levels of services required in South Australia (SA) was adapted and applied to theWestern Australian (WA) workforce. The main outcome measure was the differences in the number of full-time equivalent (FTE) GPs supplied and required from 2013 to 2033.Results. The base scenario estimated a shortage of GPs in WA from 2019 onwards with a shortage of 493 FTE GPs in 2033, while for SA, estimates showed an oversupply over the projection period.The WA urban and rural models estimated an urban shortage of GPs over this period. A reduced international medical graduate recruitment scenario resulted in estimated shortfalls of GPs by 2033 forWA and SA. TheWA-specific scenarios of lower population projections and registrar work value resulted in a reduced shortage of FTE GPs in 2033, while unfilled training places increased the shortfall of FTE GPs in 2033. Conclusions. The simulation model incorporates contextual differences to its structure that allows within and cross jurisdictional comparisons of workforce estimations. It also provides greater insights into the drivers of supply and demand and the impact of changes in workforce policy, promoting more informed decision-making.
机译:背景。卫生劳动力规划模型已开发出来估算未来的卫生劳动力对他们所服务的人口的要求,并已被用于通知政策决定。目的。适应并进一步开发基于需求的GP劳动力仿真模型,掺入患者和GPS的电流和估计的地理分布。方法。一种基于需求的仿真模型,估计南澳大利亚(SA)所需的GPS和服务水平适用于澳大利亚人(WA)劳动力。主要结果措施是2013年到2033年提供和所需的全职等效(FTE)GPS数量的差异。结果。基本方案估计2019年从2019年开始的GPS短缺,在2033年的短缺中,对于SA,估计在投影期间显示过供过于求。沃斯城乡模型估计了GPS的城市短缺时期。减少的国际医学研究生招聘情景导致2033欧洲和SA估计GPS的短缺。较低人口投影和注册商工作价值的WA特定情景导致2033年的FTE GPS短缺减少,而未填充的培训场所在2033年增加了FTE GPS的不足。结论。仿真模型将允许内部差异包含允许内部和跨国劳动力估算的比较。它还为供需驱动者提供了更大的见解以及劳动力政策变化的影响,促进更明智的决策。

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