Predicting Length of Hospice Stay: An Application of Quantile Regression-Reference-Cited by-同舟云学术

Predicting Length of Hospice Stay: An Application of Quantile Regression

Published:2018-08 Issue:8 Volume:21 Page:1131-1136
ISSN:1096-6218
Container-title:Journal of Palliative Medicine
language:en
Short-container-title:Journal of Palliative Medicine

Author:

Kaufman Brystana G.¹²,Klemish David³,Kassner Cordt T.⁴,Reiter Jerome P.³,Li Fan³,Harker Matthew⁵,O'Brien Emily C.²,Taylor Donald H.⁶,Bhavsar Nrupen A.²

Affiliation:

1. Department of Health Policy and Management, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina.

2. Department of Statistical Sciences, Duke University School of Medicine, Durham, North Carolina.

3. Department of Statistical Sciences, Duke University, Durham, North Carolina.

4. Hospice Analytics, Colorado Springs, Colorado.

5. Margolis Center for Health Policy, Duke University, Durham, North Carolina.

6. Sanford School of Public Policy, Duke University, Durham, North Carolina.

Publisher

Mary Ann Liebert Inc

Subject

Anesthesiology and Pain Medicine,General Medicine,General Nursing

Link

http://www.liebertpub.com/doi/pdf/10.1089/jpm.2018.0039

Reference35 articles.

1. Final decisions: How hospice enrollment prompts meaningful choices about life closure

2. Family Perspectives on End-of-Life Care at the Last Place of Care

3. Evaluating the Quality of Dying and Death

4. Hospice Admission Practices: Where Does Hospice Fit in the Continuum of Care?

5. Change in End-of-Life Care for Medicare Beneficiaries

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