评估农村健康结果:一种使用人口级数据的方法学方法
Gal Av-Gay1, Anshu Parajulee1, Kathrin Stoll1
1Department of Family Practice, Faculty of Medicine University of British Columbia Vancouver British Columbia Canada.
Health care science
|July 1, 2024
概括
比较农村外科手术的质量是一项挑战. 本研究提出了一种采用人口数据和风险分层的最佳实践方法,确定最小样本大小以进行准确的设施级别比较.
科学领域:
- 医疗保健质量评估 医疗保健质量评估
- 农村卫生服务研究 农村卫生服务研究
- 手术后果分析手术后果分析
背景情况:
- 农村外科和产科设施的可持续性取决于可衡量的疗效和护理质量.
- 设施层面的比较往往受到农村和转诊设施之间的患者人口统计,敏度和服务差异的阻碍.
- 现有的比较方法由于医疗保健机构之间的内在差异而面临限制.
研究的目的:
- 概述当前农村实践评估中的局限性.
- 以突出最佳实践方法,利用人口级数据进行设施级比较.
- 调查可靠的农村外科质量评估的最低样本大小要求.
主要方法:
- 蒙特卡洛功率分析用于估计物流回归和Firth物流回归的最小样本大小.
- 对手术不良事件与设施类型的比例进行比较,包括混因素.
- 开发使用风险分层,Firth惩罚后勤回归和非劣势测试的方法论的指导方针.
主要成果:
- 实验室级别的手术质量比较对修复,结肠镜检查,尾切除和剖腹产等手术的局限性说明.
- 确定了特定程序的最小样本大小,根据所采用的风险分层水平而有所不同.
- 证明了风险分层对对比分析样本大小要求的影响.
结论:
- 行政数据可以提供足够的样本大小,以进行稳健的设施级外科质量比较.
- 适当的比较可以有效地评估医疗保健提供者的有效性,包括全科医生和护士从业人员,在低急性手术中.
- 拟议的方法改善了对农村医疗保健质量和提供者绩效的评估.
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