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Strategies for cutting hospital beds: the impact on patient service.
Health Serv Res. 2001 Jun; 36(2):421-42.HS

Abstract

OBJECTIVE

To develop insights on the impact of size, average length of stay, variability, and organization of clinical services on the relationship between occupancy rates and delays for beds.

DATA SOURCES

The primary data source was Beth Israel Deaconess Medical Center in Boston. Secondary data were obtained from the United Hospital Fund of New York reflecting data from about 150 hospitals.

STUDY DESIGN

Data from Beth Israel Deaconess on discharges and length of stay were analyzed and fit into appropriate queueing models to generate tables and graphs illustrating the relationship between the variables mentioned above and the relationship between occupancy levels and delays. In addition, specific issues of current concern to hospital administrators were analyzed, including the impact of consolidation of clinical services and utilizing hospital beds uniformly across seven days a week rather than five.

PRINCIPAL FINDINGS

Using target occupancy levels as the primary determinant of bed capacity is inadequate and may lead to excessive delays for beds. Also, attempts to reduce hospital beds by consolidation of different clinical services into single nursing units may be counterproductive.

CONCLUSIONS

More sophisticated methodologies are needed to support decisions that involve bed capacity and organization in order to understand the impact on patient service.

Authors+Show Affiliations

Graduate School of Business, Columbia University, New York, NY 10027-6902, USA.No affiliation info available

Pub Type(s)

Journal Article

Language

eng

PubMed ID

11409821

Citation

Green, L V., and V Nguyen. "Strategies for Cutting Hospital Beds: the Impact On Patient Service." Health Services Research, vol. 36, no. 2, 2001, pp. 421-42.
Green LV, Nguyen V. Strategies for cutting hospital beds: the impact on patient service. Health Serv Res. 2001;36(2):421-42.
Green, L. V., & Nguyen, V. (2001). Strategies for cutting hospital beds: the impact on patient service. Health Services Research, 36(2), 421-42.
Green LV, Nguyen V. Strategies for Cutting Hospital Beds: the Impact On Patient Service. Health Serv Res. 2001;36(2):421-42. PubMed PMID: 11409821.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - Strategies for cutting hospital beds: the impact on patient service. AU - Green,L V, AU - Nguyen,V, PY - 2001/6/21/pubmed PY - 2001/7/6/medline PY - 2001/6/21/entrez SP - 421 EP - 42 JF - Health services research JO - Health Serv Res VL - 36 IS - 2 N2 - OBJECTIVE: To develop insights on the impact of size, average length of stay, variability, and organization of clinical services on the relationship between occupancy rates and delays for beds. DATA SOURCES: The primary data source was Beth Israel Deaconess Medical Center in Boston. Secondary data were obtained from the United Hospital Fund of New York reflecting data from about 150 hospitals. STUDY DESIGN: Data from Beth Israel Deaconess on discharges and length of stay were analyzed and fit into appropriate queueing models to generate tables and graphs illustrating the relationship between the variables mentioned above and the relationship between occupancy levels and delays. In addition, specific issues of current concern to hospital administrators were analyzed, including the impact of consolidation of clinical services and utilizing hospital beds uniformly across seven days a week rather than five. PRINCIPAL FINDINGS: Using target occupancy levels as the primary determinant of bed capacity is inadequate and may lead to excessive delays for beds. Also, attempts to reduce hospital beds by consolidation of different clinical services into single nursing units may be counterproductive. CONCLUSIONS: More sophisticated methodologies are needed to support decisions that involve bed capacity and organization in order to understand the impact on patient service. SN - 0017-9124 UR - https://www.unboundmedicine.com/medline/citation/11409821/Strategies_for_cutting_hospital_beds:_the_impact_on_patient_service_ L2 - https://www.ncbi.nlm.nih.gov/pmc/articles/pmid/11409821/ DB - PRIME DP - Unbound Medicine ER -