使用强大的劳动力规划框架预测医疗保健劳动力需求的不确定性管理:比利时助产士的例子
Nadia Benahmed1, Mélanie Lefèvre2, Sabine Stordeur2
1Belgian Health Care Knowledge Centre, Boulevard du Jardin Botanique, 55, 1000, Brussels, Belgium. nadia.benahmed@kce.fgov.be.
Human resources for health
|September 18, 2023
概括
比利时比利时比利时比利时比利时
科学领域:
- 医疗保健 劳动力规划 医疗保健 劳动力规划
- 产妇健康服务 产妇健康服务
- 公共卫生政策 公共卫生政策
背景情况:
- 比利时医疗供应规划委员会监督卫生人力资源 (HRH) 并提出劳动力配额.
- 卫生专业供应规划部门使用库存和流量模型进行医疗保健劳动力预测.
- 比利时医疗保健知识中心 (KCE) 的任务是开发新的助产员工情况.
研究的目的:
- 介绍比利时助产员工的替代预测场景的发展.
- 为了补充现有的基于历史趋势的劳动力预测方法.
主要方法:
- 使用了来自英国劳动力情报中心的强有力的劳动力规划框架.
- 通过两个在线调查和五个利益相关方研讨会进行了地平线扫描和场景生成.
- 专注于框架的前两个步骤:地平线扫描和场景生成.
主要成果:
- 为未来的助产士劳动力组织提出了三个不同的场景.
- 场景1:目前的模型是以妇科医生为中心的护理在医院或私人诊所.
- 场景2:在医院环境中由助产士领导的护理.
- 场景3:以初级保健为主导的模型,在门诊环境中使用助产士和全科医生.
结论:
- 强大的劳动力规划框架有助于调整卫生劳动力模型.
- 该框架为决策者提供有关未来政策选择对卫生工作人员潜在影响的信息.
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