Using medicaid claims data to identify service gaps for high-need clients: The NYC Mental Health Care Monitoring Initiative

SmithT.E.; AppelA.; DonahueS.A.; EssockS.M.; JacksonC.T.; KarpatiA.; MarsikT.; MyersR.W.; TomL.; SedererL.I.

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Using medicaid claims data to identify service gaps for high-need clients: The NYC Mental Health Care Monitoring Initiative

机译：使用医疗补助声明数据来识别高需求客户的服务差距：纽约市精神卫生监护计划

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Public mental health authorities have access to large administrative databases. Advances in information technology now make it possible to use secondary analyses of these data to inform policy and clinical interventions. New York City and State mental health authorities developed an initiative using Medicaid claims and other administrative data to identify individuals with serious mental illness living in New York City (NYC) who are at risk of lapses in care. The NYC Mental Health Care Monitoring Initiative represents one of the first efforts to create "evidence-based policy." The authors describe the initiative's background, development, and key collaborations.

机译：公共精神卫生当局可以访问大型管理数据库。信息技术的进步现在使得可以使用这些数据的二次分析来为政策和临床干预提供依据。纽约市和州精神卫生当局制定了一项计划，利用医疗补助索赔和其他行政数据来识别居住在纽约市（NYC）的严重精神病患者，他们有可能无法照料。纽约市精神卫生保健监测计划是创建“循证政策”的第一批工作之一。作者描述了该计划的背景，发展和主要合作。

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《Psychiatric services: a journal of the American Psychiatric Association》 |2011年第1期|共3页
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SmithT.E.; AppelA.; DonahueS.A.; EssockS.M.; JacksonC.T.; KarpatiA.; MarsikT.; MyersR.W.; TomL.; SedererL.I.;
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中图分类神经病学与精神病学;
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1. Using medicaid claims data to identify service gaps for high-need clients: The NYC Mental Health Care Monitoring Initiative [J] . SmithT.E., AppelA., DonahueS.A., Psychiatric services: a journal of the American Psychiatric Association . 2011,第1期

机译：使用医疗补助声明数据来识别高需求客户的服务差距：纽约市精神卫生监护计划
2. Identifying levels of general distress in first line mental health services: can GP- and eHealth clients’ scores be meaningfully compared? [J] . Jan van Bebber, Johanna T. W. Wigman, Lex Wunderink, BMC Psychiatry . 2017,第1期

机译：确定一线精神卫生服务中的一般困扰程度：是否可以对GP-和eHealth客户的分数进行有意义的比较？
3. A Review of Claims-Based Quality Measures Used by the Centers for Medicare and Medicaid Services (CMS) and Medicare Administrative Contractors (MACs) to Monitor the Medicare Hospice Benefit [J] . Plotzke Michael, Christian Thomas, Teno Joan, Journal of pain and symptom management. . 2016,第2期

机译：Medicare和Medicaid Services中心（CMS）和Medicare行政承包商（MAC）用于监视Medicare临终关怀福利的基于索偿的质量度量的审查
4. How Can Health Information Technologies Contribute to Improve Health Care Services for High-Need Patients? [C] . Christian NOHR, Lars BOTTN, Xinxin ZHU CSHI Conference. . 2017

机译：健康信息技术如何为高需求患者改善医疗保健服务？
5. Access to mental health care: Clients perception of services provided by Agape Clinic and Community Care. [D] . Ruiz, Erika. 2009

机译：获得精神保健服务：客户对Agape诊所和社区保健所提供服务的看法。
6. Identifying levels of general distress in first line mental health services: can GP- and eHealth clients’ scores be meaningfully compared? [O] . Jan van Bebber, Johanna T. W. Wigman, Lex Wunderink, 2017

机译：确定一线精神卫生服务中的一般困扰程度：是否可以对GP-和eHealth客户的分数进行有意义的比较？
7. Clinical performance measures: The changing status of peritoneal dialysis11Note: The Centers for Medicare and Medicaid Services (CMS), formerly the Health Care Financing Administration (HCFA) ESRD Core Indicators Study, supplied the data described in this report. The interpretation and reporting of these data are the responsibility of the authors and are not an official policy or interpretation of the Centers for Medicare and Medicaid Services. [O] . Flanigan Michael J., Rocco Michael V., Prowant Barbara, 2001

机译：临床表现指标：腹膜透析状态的变化11注：医疗保险和医疗补助服务中心（CMS），以前是医疗保健筹资管理局（HCFA）的ESRD核心指标研究，提供了本报告中描述的数据。这些数据的解释和报告是作者的责任，而不是Medicare和Medicaid Services中心的官方政策或解释。
8. Centers for Medicare and Medicaid Services Paid Medicare Advantage Organizations for Services Provided to Beneficiaries Confined in Mental Health Facilities for Court-Ordered Purposes. [R] . 2014

机译：医疗保险和医疗补助服务中心有偿医疗保险优势组织为受法人提供的服务仅限于法院订购目的的精神卫生机构。

Using medicaid claims data to identify service gaps for high-need clients: The NYC Mental Health Care Monitoring Initiative

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