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相关概念视频

Documentation in Long-Term and Home Healthcare Setting01:29

Documentation in Long-Term and Home Healthcare Setting

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Documentation in long-term care facilities and home healthcare settings is crucial for ensuring continuous, coordinated, and comprehensive care for patients. Each setting has its specific documentation processes and tools:
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Standards of Care I01:22

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The case management model is a multidisciplinary approach that involves healthcare professionals from diverse disciplines, such as physicians, nurses, therapists, social workers, and pharmacists, working collaboratively to address the various needs of patients. Each healthcare professional brings unique expertise and perspectives, contributing to a more comprehensive understanding of the patient's condition and tailoring treatment plans accordingly.
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The evaluation stage signals the end of the nursing process. The nurse gathers evaluative data to assess whether or not the patient has attained the expected results. Whereas the nurse collects data in the nursing assessment to identify the patient's health concerns, the evaluation stage data determines if the indicated health issues are resolved. Evaluative data collection includes two sections: the data acquired to evaluate patient outcomes and the time criteria for data collection.
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Reporting and recording are crucial in data documentation. The timely, thorough, and accurate documentation of facts is essential when recording patient data. Failure to record findings during an assessment or interpretation of a problem will result in loss of information and make the patient document unreliable. The reader is left with general impressions if the information is not specific. A recording is documenting data of the individual's health information in a traceable, secure, and...
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Inverse Probability of Treatment Weighting Propensity Score using the Military Health System Data Repository and National Death Index
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医疗补助政策数据用于评估资格和计划变化.

Paul R Shafer1, Amanda Katchmar2, Steven Callori3

  • 1Department of Health Law, Policy, and Management School of Public Health, Boston University, 715 Albany Street, Boston, MA, 02118, USA. pshafer@bu.edu.

BMC research notes
|October 3, 2023
PubMed
概括
此摘要是机器生成的。

研究人员创建了一个新的数据集来分析医疗补助和儿童健康保险计划 (CHIP) 政策的变化. 该资源通过量化历史程序特征来帮助政策研究.

关键词:
行政负担管理负担.分担成本 - 分担成本.资格 资格符合条件招生 招生 招生 招生股权资本 股权资本管理护理管理的护理.医疗补助公司 (Medicaid) 的医疗补助.政策 政策 政策 政策溢价 溢价 溢价 溢价 溢价 溢价更新 更新 更新 更新 更新

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科学领域:

  • 医疗保健服务研究 医疗服务研究
  • 公共政策分析 公共政策分析
  • 卫生经济学 卫生经济学

背景情况:

  • 医疗补助和CHIP覆盖超过9000万美国人,但计划细节在各州和时间之间有很大差异.
  • 对决策者来说,分析政策转变至关重要,但历史数据往往无法进行定量分析.
  • 现有的定性政策数据缺乏综合研究的结构化格式.

研究的目的:

  • 通过合成定性政策数据,开发一个新的数据资源.
  • 促进对历史医疗补助和CHIP计划特征的定量研究.
  • 为了弥合定性政策信息和定量分析需求之间的差距.

主要方法:

  • 利用KFF从2000年到2020年每年对50个州的医疗补助和CHIP政策进行的调查.
  • 制定了五个关键政策领域:资格,入学/续签,保费,成本共享和管理护理.
  • 编码了122个具体的政策措施,按州和季度进行定量分析.

主要成果:

  • 创建了一个关于医疗补助和CHIP政策措施的全面数据集.
  • 该数据集包括五个领域的122个不同的措施,编码为季度.
  • 这些结构化数据可以对政策变化和趋势进行定量分析.

结论:

  • 新的数据资源显著提高了对医疗补助和CHIP政策进行定量研究的能力.
  • 研究人员和政策制定者现在有一个工具来分析历史的政策变化及其影响.
  • 这有助于医疗保险计划的基于证据的决策.