ArticleHealth services research2001
Strategies for cutting hospital beds: the impact on patient service.
Article in Health services research, 2001. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
20 citing papers in PubMed.
- Prediction of personal protective equipment use in hospitals during COVID-19.Health care management science · 2021Article
- Theoretical bounds and approximation of the probability mass function of future hospital bed demand.Health care management science · 2020Article
- Queueing theoretic analysis of labor and delivery : Understanding management styles and C-section rates.Health care management science · 2019Article
- Flexible bed allocations for hospital wards.Health care management science · 2017Article
- Review
- Hospital-Level Changes in Adult ICU Bed Supply in the United States.Critical care medicine · 2017Article
- The probability of readmission within 30 days of hospital discharge is positively associated with inpatient bed occupancy at discharge--a retrospective cohort study.BMC emergency medicine · 2015Article
- StratBAM: A Discrete-Event Simulation Model to Support Strategic Hospital Bed Capacity Decisions.Journal of medical systems · 2015Article
- Predictors of inappropriate hospital stay: experience from Iran.Global journal of health science · 2014Article
- Standardizing admission and discharge processes to improve patient flow: a cross sectional study.BMC health services research · 2012Article
- The productivity and cost-efficiency of models for involving nurse practitioners in primary care: a perspective from queueing analysis.Health services research · 2012Article
- Scheduling admissions and reducing variability in bed demand.Health care management science · 2011Article
- An open source software project for obstetrical procedure scheduling and occupancy analysis.Health care management science · 2011Article
- Higher inpatient medical surgical bed occupancy extends admitted patients' stay.The western journal of emergency medicine · 2009Article
- Incorporating efficiency in hospital-capacity planning in Germany.The European journal of health economics : HEPAC : health economics in prevention and care · 2007Article
- Modeling the emergency cardiac in-patient flow: an application of queuing theory.Health care management science · 2007Article
- A network flow approach to optimizing hospital bed capacity decisions.Health care management science · 2006Article
- Modelling variability in hospital bed occupancy.Health care management science · 2005Article
- Hospital economics of the hospitalist.Health services research · 2003Article
- Long waiting lists in hospitals.BMJ (Clinical research ed.) · 2002Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveTo 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
designData 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
findingsUsing 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.
conclusionsMore sophisticated methodologies are needed to support decisions that involve bed capacity and organization in order to understand the impact on patient service.
Indexed as
Identifiers
11409821PMC1089232What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.