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Characteristics of High Staff Intensive Medicare Psychiatric Inpatients

Previous analyses of the costs of Medicare psychiatric inpatients have been limited by the use of claims and provider cost reports that fail to quantify differences in patient characteristics and routine costs. This article uses new primary data from 66 psychiatric inpatient units in 40 facilities n...

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Autores principales: Cromwell, Jerry, Maier, Jan, Gage, Barbara, Drozd, Edward, Osber, Deborah, Richter, Erin, Greenwald, Leslie, Goldman, Howard
Formato: Online Artículo Texto
Lenguaje:English
Publicado: CENTERS for MEDICARE & MEDICAID SERVICES 2004
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4194884/
https://www.ncbi.nlm.nih.gov/pubmed/15776703
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author Cromwell, Jerry
Maier, Jan
Gage, Barbara
Drozd, Edward
Osber, Deborah
Richter, Erin
Greenwald, Leslie
Goldman, Howard
author_facet Cromwell, Jerry
Maier, Jan
Gage, Barbara
Drozd, Edward
Osber, Deborah
Richter, Erin
Greenwald, Leslie
Goldman, Howard
author_sort Cromwell, Jerry
collection PubMed
description Previous analyses of the costs of Medicare psychiatric inpatients have been limited by the use of claims and provider cost reports that fail to quantify differences in patient characteristics and routine costs. This article uses new primary data from 66 psychiatric inpatient units in 40 facilities nationwide to measure the times staff spend in therapeutic and other activities caring for Medicare patients. Patient days are divided into two groups of very high and low staff intensity and patient characteristics compared in each group. Results identify key patient characteristics associated with high staffing days, including old age, dementia and cognitive impairment, severe psychiatric diagnosis, deficits in activities of daily living (ADLs), and assaultive or agitated behaviors. Policy implications and suggested enhancements are made with regard to the proposed CMS case-mix classification system based on claims data alone.
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spelling pubmed-41948842014-11-04 Characteristics of High Staff Intensive Medicare Psychiatric Inpatients Cromwell, Jerry Maier, Jan Gage, Barbara Drozd, Edward Osber, Deborah Richter, Erin Greenwald, Leslie Goldman, Howard Health Care Financ Rev Research Article Previous analyses of the costs of Medicare psychiatric inpatients have been limited by the use of claims and provider cost reports that fail to quantify differences in patient characteristics and routine costs. This article uses new primary data from 66 psychiatric inpatient units in 40 facilities nationwide to measure the times staff spend in therapeutic and other activities caring for Medicare patients. Patient days are divided into two groups of very high and low staff intensity and patient characteristics compared in each group. Results identify key patient characteristics associated with high staffing days, including old age, dementia and cognitive impairment, severe psychiatric diagnosis, deficits in activities of daily living (ADLs), and assaultive or agitated behaviors. Policy implications and suggested enhancements are made with regard to the proposed CMS case-mix classification system based on claims data alone. CENTERS for MEDICARE & MEDICAID SERVICES 2004 /pmc/articles/PMC4194884/ /pubmed/15776703 Text en
spellingShingle Research Article
Cromwell, Jerry
Maier, Jan
Gage, Barbara
Drozd, Edward
Osber, Deborah
Richter, Erin
Greenwald, Leslie
Goldman, Howard
Characteristics of High Staff Intensive Medicare Psychiatric Inpatients
title Characteristics of High Staff Intensive Medicare Psychiatric Inpatients
title_full Characteristics of High Staff Intensive Medicare Psychiatric Inpatients
title_fullStr Characteristics of High Staff Intensive Medicare Psychiatric Inpatients
title_full_unstemmed Characteristics of High Staff Intensive Medicare Psychiatric Inpatients
title_short Characteristics of High Staff Intensive Medicare Psychiatric Inpatients
title_sort characteristics of high staff intensive medicare psychiatric inpatients
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4194884/
https://www.ncbi.nlm.nih.gov/pubmed/15776703
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