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1

Hall, Margaret Jean. Long-stay patients in short-stay hospitals. [U.S. Dept. of Health and Human Services, Public Health Service, Centers for Disease Control and Prevention, National Center for Health Statistics, 1993.

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Hall, Margaret Jean. Long-stay patients in short-stay hospitals. [U.S. Dept. of Health and Human Services, Public Health Service, Centers for Disease Control and Prevention, National Center for Health Statistics, 1993.

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3

Hall, Margaret Jean. Long-stay patients in short-stay hospitals. [U.S. Dept. of Health and Human Services, Public Health Service, Centers for Disease Control and Prevention, National Center for Health Statistics, 1993.

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4

Hall, Margaret Jean. Long-stay patients in short-stay hospitals. [U.S. Dept. of Health and Human Services, Public Health Service, Centers for Disease Control and Prevention, National Center for Health Statistics, 1993.

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5

Australian Institute of Health and Welfare., ed. Length of stay in Australian nursing homes. Australian Institute of Health and Welfare, 1996.

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6

Durbin, Janet. Role of patient severity in predicting length of hospital stay. National Library of Canada = Bibliothèque nationale du Canada, 1999.

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7

F, Kominski Gerald, ed. Recent trends in length of stay for medicare surgical patients. Rand Corp., 1990.

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8

Terbush, Thomas W. 1989 Medicare lengths-of-stay. Terbush & Parker Systems, 1989.

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9

Wilder, Charles S. Hospitalization of persons under 65 years of age, United States, 1980-81. U.S. Dept. of Health and Human Services, Public Health Service, National Center for Health Statistics, 1985.

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10

Farley, Dean E. Trends in hospital average lengths of stay, casemix, and discharge, 1980-85. U.S. Dept. of Health and Human Services, Public Health Service, National Center for Health Services Research and Health Care Technology Assessment, 1988.

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11

National Center for Health Services Research and Health Care Technology Assessment (U.S.) and Dartmouth Medical School, eds. Small area variations in hospitalized case mix for DRGs in Maine, Massachusetts and Iowa. National Center for Health Services Research and Health Care Technology Assessment, Public Health Service, U.S. Dept. of Health and Human Services, 1985.

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12

Epshṭain, Liʼon. Yeme ishpuz bilti mutsdaḳim be-vate ḥolim kelaliyim: Sikum seḳer she-neʻerakh bi-shene bate ḥolim bi-tsefon ha-arets. Mekhon Yerushalayim le-ḥeḳer Yiśraʼel, mi-yesodah shel Ḳeren Ts'arls H. Revson be-shituf ha-Merkaz ha-leʼumi li-veriʼut ha-tsibur, 1987.

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13

Epshṭain, Liʾon. Yeme ishpuz bilti mutsdaḳim be-vate ḥolim kelaliyim: Sikum seḳer she-neʻerakh bi-shene bate ḥolim bi-tsefon ha-arets. Mekhon Yerushalayim le-ḥeḳer Yiśraʾel, mi-yesodah shel Ḳeren Ts'arls H. Revson be-shituf ha-Merkaz ha-leʾumi li-veriʾut ha-tsibur, 1987.

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14

Starr, Sheldon. Surgical and nonsurgical procedures in short-stay hospitals, United States, 1983. U.S. Dept. of Health and Human Services, Public Health Service, National Center for Health Statistics, 1986.

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15

Graves, Edmund. Inpatient utilization of short-stay hospitals by diagnosis, United States, 1984. U.S. Dept. of Health and Human Services, Public Health Service, National Center for Health Statistics, 1987.

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16

Weidel, Carol. Wisconsin hospital discharge report, 1986: Case mix and length of stay efficiency. Dept. of Health and Social Services, Division of Health, Center for Health Statistics, 1987.

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17

Bebbington, Andrew. Children's GRE research extension: The length of stay in care : interim report. Personal Social Services Research Unit, University of Kent at Canterbury, 1989.

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18

Perry, Jean-Benoît. Soutien à la transformation du réseau: Évaluation des besoins en lits pour les soins de courte durée physique. Gouvernement du Québec, Ministère de la santé et des services sociaux, Direction générale de la planification et de l'évaluation, 1997.

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19

Edwin, Milan, Jagannathan Radha, National Hospital Discharge Survey (U.S.), National Health and Nutrition Examination Survey (U.S.). Epidemiologic Followup Study., and National Center for Health Statistics (U.S.), eds. Comparison of two surveys of hospitalization: The National Hospital Discharge Survey and the NHANES I Epidemiologic Followup Study. U.S. Dept. of Health and Human Services, Centers for Disease Control and Prevention, National Center for Health Statistics, 1997.

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20

Mehdizadeh, Shahla A. Predicting nursing home length of stay: Implications for targeting pre-admission review efforts. Scripps Gerontology Center, Miami University, 2001.

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21

Graves, Edmund. Utilization of short-stay hospitals by patients with AIDS: United States, 1984-86. U.S. Dept. of Health and Human Services, Public Health Service, Centers for Disease Control, National Center for Health Statistics, 1988.

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22

Graves, Edmund. Utilization of short-stay hospitals by patients with AIDS: United States, 1984-86. U.S. Dept. of Health and Human Services, Public Health Service, Centers for Disease Control, National Center for Health Statistics, 1988.

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23

Graves, Edmund. Utilization of short-stay hospitals by patients with AIDS: United States, 1984-86. U.S. Dept. of Health and Human Services, Public Health Service, Centers for Disease Control, National Center for Health Statistics, 1988.

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24

Graves, Edmund. Utilization of short-stay hospitals by patients with AIDS: United States, 1984-86. U.S. Dept. of Health and Human Services, Public Health Service, Centers for Disease Control, National Center for Health Statistics, 1988.

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25

Graves, Edmund. Utilization of short-stay hospitals by patients with AIDS: United States, 1984-86. U.S. Dept. of Health and Human Services, Public Health Service, Centers for Disease Control, National Center for Health Statistics, 1988.

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26

Ontario. Joint Policy and Planning Committee. Reducing length of stay: How do you compare? : a resource manual for Ontario Hospitals. Joint Policy and Planning Committee, 1994.

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27

Basu, Joy. An analysis of trends in average length of stay in Maryland hospitals, 1980-1987. Maryland Health Resources Planning Commission, Division of Research and Information Systems, 1990.

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28

Inc, Joint Commission Resources. Managing patient flow: Strategies and solutions for addressing hospital overcrowding. Joint Commission Resources, 2004.

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29

Pokras, Robert. Utilization of short-stay hospitals by diagnosis-related groups: United States 1980-84. U.S. Dept. of Health and Human Services, National Center for Health Statistics, 1986.

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30

Darton, Robin. Length of stay of residents and patients in residential and nursing homes for elderly people. PSSRU, University of Kent at Canterbury, 1993.

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31

Schweickert, William D., and John P. Kress. Physical and Occupational Therapy in the ICU. Oxford University Press, 2014. http://dx.doi.org/10.1093/med/9780199653461.003.0043.

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Mechanically ventilated patients in the ICU are commonly immobilized for prolonged time periods due to factors that include the underlying illness, encephalopathy, or sedation. In this setting, severe ICU-acquired weakness is common and may represent both a cause and consequence of immobilization. Physical and occupational therapy is feasible in ICU patients, even very early during mechanical ventilation. This intervention requires a coordinated effort between physicians, nurses, respiratory therapists, and the physical/occupational therapy team. Early physical and occupational therapy can lea
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32

Groves, Danja S., and Charles G. Durbin. The surgical airway in the ICU. Oxford University Press, 2016. http://dx.doi.org/10.1093/med/9780199600830.003.0082.

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Tracheostomy is the most commonly performed (elective) surgical procedure in critically-ill patients. Compared with translaryngeal intubation, tracheostomy improves patient comfort, and leads to shorter length of intensive care unit and hospital stay. It relieves upper airway obstruction, protects the larynx and upper airway from damage, allows access to the lower airway for secretion removal, and provides a stable airway for patients requiring prolonged mechanical ventilation or oxygenation support. Timing of tracheostomy remains controversial and should be individualized; however, early trac
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33

Scott, Michael J., and Monty Mythen. Enhanced surgical recovery programmes in the ICU. Oxford University Press, 2016. http://dx.doi.org/10.1093/med/9780199600830.003.0364.

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Enhanced recovery programmes (ERPs) are evidence-based care pathways starting from the point of patient referral right through the peri-operative period until discharge home. The ERP aims to reduce surgical stress and enhance post-operative physiological function with resulting early return of enteral diet and mobilization to improve outcomes. There are 20 evidence-based elements, many of which are delivered by a multidisciplinary team. Many elements support a treatment intervention, but some aim to avoid an intervention, which can negatively impact on recovery. An ERP with good compliance has
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34

Wunsch, Hannah, and Andrew A. Kramer. The role and limitations of scoring systems. Oxford University Press, 2016. http://dx.doi.org/10.1093/med/9780199600830.003.0028.

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Scoring systems for critically-ill patients provide a measure of the severity of illness of patients admitted to intensive care units (ICUs). They are primarily based on patient characteristics, physiological derangement, and/or clinical assessments. Severity scores themselves allow for risk-adjusting outcomes, but they can also be used to provide a prediction of the overall risk of death, length of stay, or other outcome for critically ill patients. This allows for comparison of outcomes between different cohorts of patients or between observed and predicted ICU performance. There are a numbe
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35

Alhazzani, Waleed, and Deborah J. Cook. Stress ulcer prophylaxis and treatment drugs in critical illness. Oxford University Press, 2016. http://dx.doi.org/10.1093/med/9780199600830.003.0041.

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Many changes have occurred over the last three decades in the field of stress ulcer gastrointestinal bleeding and its prevention. The topic is controversial, fuelled by disparate data, studies at risk of bias, and the impression that the problem is not as serious as it once was. Indeed, compared with over four decades ago when mucosal ulceration of the stomach causing serious bleeding was first described, a relatively small proportion of critically-ill patients now develop clinically important bleeding. Acid suppression is commonly prescribed for stress ulcer prophylaxis (SUP), targeting subgr
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36

Patel, Bhakti K., and John P. Kress. Management of sedation in the critically ill. Oxford University Press, 2016. http://dx.doi.org/10.1093/med/9780199600830.003.0359.

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Once adequate analgesia is confirmed, the need for sedation should be considered. Sedation of mechanically-ventilated patients is a common challenge in the intensive care unit (ICU). Metabolism of sedatives in critical illness can be unpredictable and achieving optimal sedation without coma is a moving target. Once adequate analgesia is achieved, the choice, depth, and duration of sedation can have major implications for the presence of delirium, the duration of mechanical ventilation, ventilator-associated pneumonia, and ICU length of stay. Therefore, goal-directed titration of sedative and f
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37

Sessler, Curtis N., and Katie M. Muzevich. Sedatives and anti-anxiety agents in critical illness. Oxford University Press, 2016. http://dx.doi.org/10.1093/med/9780199600830.003.0042.

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Sedative and anti-anxiety agents are administered to many mechanically-ventilated intensive care unit (ICU) patients. While commonly considered supportive care, suboptimal administration of sedatives has been linked to longer duration of mechanical ventilation and longer ICU length of stay. The use of a structured multidisciplinary approach can help improve outcomes. The level of consciousness, as well as the presence and severity of agitation should be routinely evaluated using a validated sedation–agitation scale. The approach to delivery of sedation should be based upon specific goals, part
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38

Illinois Health care Cost Containment Council., ed. Maternity length of stay report. State of Illinois Health Care Cost Containmnent Council, 1995.

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39

HCIA. Length of Stay Western Region 2000. HCIA, 2000.

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40

HCIA. Length Of Stay Southern Region 2000. HCIA, 2000.

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41

Analyst, Health Care Investment. Length of Stay by Drg & Payment Source U.s. (Length of Stay by Diagnosis & Oper- United States). Solucient, 1997.

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42

HCIA. Pediatric Length Of Stay By Diagnosis And Operation 2000 (PEDIATRIC LENGTH OF STAY BY DIAGNOSIS & OPERATION). HCIA, 2000.

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43

Analyst, Health Care Investment. Psychiatric Length Stay by Diagnosis1994: Western Region. Solucient, 1994.

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44

Length of Stay By Diagnosis and Operation. Hcia, 1994.

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45

Analyst, Health Care Investment. Psychiatric Length Stay Diagnosis 1997: Western Region. Solucient, 1997.

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46

Analyst, Health Care Investment. Psychiatric Length Stay Diagnosis 1995: Western Region. Solucient, 1995.

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47

Medicode. Length of Stay Benchmarks South/national Book. Medicode Inc, 2002.

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48

Solucient. 2006 Length of Stay by Diagnosis and Operation: Southern Region (Length of Stay By Diagnosis and Operation). 4th ed. Solucient, 2007.

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49

HCIA. Length Of Stay By Diagnosis And Operation North Central Edition (LENGTH OF STAY BY DIAGNOSIS & OPERATION- NORTH CENTRAL). SOLUCIENT, 1998.

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50

Analyst, Health Care Investment. Length of Stay by Drg & Payment Source U.s. Solucient, 1995.

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