Paper
Thursday, 20 July 2006
This presentation is part of : Measuring Evidence-Based Practice Outcomes
Analyzing Intra-Hospital Transfers to Assess the Effect of Patient Needs-Based Clinical Placement on Length of Stay and Care Costs: A Multi-Hospital Study
Karole Mourek, PhD, Consulo Inc, Riverside, IL, USA and Kenneth W. Colbert, MS, QuadraMed Corporation, Chicago, IL, USA.
Learning Objective #1: Articulate elements of a transportable model that measures the effects of clinical placement on length of stay and care costs.
Learning Objective #2: Identify clinical and administrative applications for implementing a model that aids in optimal clinical unit placement in acute care environments.

Background:  Although individual care needs should dictate a treatment environment, patient placement and movement is often more system driven than clinically determined.  This study investigated the effects of clinical unit placement on patient length of stay and care costs while accounting for individual care needs across multiple hospital settings.

Design:  An exploratory multi-hospital study designed to measure the effects of clinical unit placement on length of stay and care costs while accounting for individual care needs.  Focus was placed on the effects of intra-hospital transfers.  Intra-hospital transfers were defined as either patient driven or system driven based upon an assessment of patient care needs both pre and post transfer.  Care needs were measured using a transportable patient classification system.  Outcome measures included patient length of stay and care costs.

Population, Sample, Setting and Year:  Six United States acute-care organizations’ comprehensive databases were analyzed using a three-month, 2005 sample.

Variables:  Independent variables included patient clinical unit placement and number of intra-hospital transfers; dependent variables included patient length of stay and care costs; and control variables included patient age, DRG, daily acuity and daily complexity measures.

Methods:  Patient placement and intra-hospital transfers were classified as patient driven or system driven by comparing patient needs to the unit clinical specialization and staffing.  Patient outcomes were contrasted based upon the defined patient placement and transfer categories.

Findings:  Relationships between clinical unit placement accounting for individual care needs and the outcome measures were quantified.

Conclusions:  A model explaining the relationship between clinical unit placement and specified outcomes while accounting for individual care needs was established which identified possible opportunities for care process improvement.

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