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一种针对家庭健康服务病例组合的多维度方法。

A multidimensional approach to case mix for home health services.

作者信息

Manton K G, Hausner T

出版信息

Health Care Financ Rev. 1987 Summer;8(4):37-54.

PMID:10312187
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC4192856/
Abstract

Developing a case-mix methodology for home health services is more difficult than developing one for hospitalization and acute health services, because the determinants of need for home health care are more complex and because of the difficulty in defining episodes of care. To evaluate home health service case mix, a multivariate grouping methodology was applied to records from the 1982 National Long-Term Care Survey linked to Medicare records on home health reimbursements. Using this method, six distinct health and functional status dimensions were identified. These dimensions, combined with factors describing informal care resources and local market conditions, were used to explain significant proportions of the variance (r2 = .45) of individual differences in Medicare home health reimbursements and numbers of visits. Though the data were not collected for that purpose, the high level of prediction strongly suggests the feasibility of developing case-mix strategies for home health services.

摘要

开发家庭健康服务的病例组合方法比开发住院治疗和急性健康服务的病例组合方法更困难,这是因为家庭医疗保健需求的决定因素更为复杂,也因为确定护理期间存在困难。为了评估家庭健康服务病例组合,一种多变量分组方法被应用于1982年全国长期护理调查的记录,这些记录与医疗保险关于家庭健康报销的记录相关联。使用这种方法,确定了六个不同的健康和功能状态维度。这些维度,结合描述非正式护理资源和当地市场状况的因素,被用来解释医疗保险家庭健康报销和就诊次数个体差异的很大一部分方差(r2 = 0.45)。尽管数据并非为此目的收集,但较高的预测水平强烈表明开发家庭健康服务病例组合策略的可行性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5b09/4192856/8a256bf8dfa3/hcfr-8-4-37-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5b09/4192856/8a256bf8dfa3/hcfr-8-4-37-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5b09/4192856/8a256bf8dfa3/hcfr-8-4-37-g001.jpg

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A multidimensional approach to case mix for home health services.一种针对家庭健康服务病例组合的多维度方法。
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Using machine learning to assess the predictive potential of standardized nursing data for home healthcare case-mix classification.利用机器学习评估标准化护理数据对家庭医疗保健病例组合分类的预测潜力。
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Development of a casemix classification to predict costs of home care in the Netherlands: a study protocol.

本文引用的文献

1
Reliability and validity in hospital case-mix measurement.医院病例组合测量中的可靠性与有效性。
Health Care Financ Rev. 1982 Dec;4(2):101-28.
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A new procedure for analysis of medical classification.一种医学分类分析的新方法。
Methods Inf Med. 1982 Oct;21(4):210-20.
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Projecting chronic disease prevalence.
Med Care. 1984 Jun;22(6):511-26. doi: 10.1097/00005650-198406000-00002.
开发用于预测荷兰家庭护理成本的病例组合分类法:一项研究方案。
BMJ Open. 2020 Feb 17;10(2):e035683. doi: 10.1136/bmjopen-2019-035683.
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Home health and skilled nursing facility use: 1982-90.家庭健康护理及专业护理机构的使用情况:1982 - 1990年
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Use of Medicare services before and after introduction of the prospective payment system.前瞻性支付系统引入前后医疗保险服务的使用情况。
Health Serv Res. 1993 Aug;28(3):269-92.
6
Does the average cost of home health care vary with case mix?家庭医疗保健的平均成本是否因病例组合而异?
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The use of formal and informal home care by the disabled elderly.残疾老年人对正式和非正式居家护理的使用情况。
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An analysis of the heterogeneity of U.S. nursing home patients.美国养老院患者的异质性分析。
J Gerontol. 1985 Jan;40(1):34-46. doi: 10.1093/geronj/40.1.34.
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Health status and service needs of the oldest old: current patterns and future trends.高龄老人的健康状况与服务需求:当前模式与未来趋势
Milbank Mem Fund Q Health Soc. 1985 Spring;63(2):286-319.