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  • 标题:Perceptions of Risk Stratification Workflows in Primary Care
  • 本地全文:下载
  • 作者:Rachel L. Ross ; Bhavaya Sachdeva ; Jesse Wagner
  • 期刊名称:Healthcare
  • 电子版ISSN:2227-9032
  • 出版年度:2017
  • 卷号:5
  • 期号:4
  • 页码:78
  • DOI:10.3390/healthcare5040078
  • 语种:English
  • 出版社:MDPI Publishing
  • 摘要:Risk stratification (RS) in primary care is frequently used by policy-makers, payers, and health systems; the process requires risk assessment for adverse health outcomes across a population to assign patients into risk tiers and allow care management (CM) resources to be targeted effectively. Our objective was to understand the approach to and perception of RS in primary care practices. An online survey was developed, tested, and administered to 148 representatives of 37 primary care practices engaged in RS varying in size, location and ownership. The survey assessed practices’ approach to, perception of, and confidence in RS, and its effect on subsequent CM activities. We examined psychometric properties of the survey to determine validity and conducted chi-square analyses to determine the association between practice characteristics and confidence and agreement with risk scores. The survey yielded a 68% response rate (100 respondents). Overall, participants felt moderately confident in their risk scores (range 41–53.8%), and moderately to highly confident in their subsequent CM workflows (range 46–68%). Respondents from small and independent practices were more likely to have higher confidence and agreement with their RS approaches and scores (p < 0.01). Confidence levels were highest, however, when practices incorporated human review into their RS processes (p < 0.05). This trend was not affected by respondents’ professional roles. Additional work from a broad mixed-methods effort will add to our understanding of RS implementation processes and outcomes.
  • 关键词:risk stratification; chronic care; primary care; forecasting; care management; risk assessment risk stratification ; chronic care ; primary care ; forecasting ; care management ; risk assessment
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