Готові списки джерел за темами / Length of stay (LOS)

Добірка наукової літератури з теми "Length of stay (LOS)"

Автор: Grafiati
Опубліковано: 10 грудня 2022
Оновлено: 28 січня 2023

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Статті в журналах з теми "Length of stay (LOS)"

1

Silber, Jeffrey H., Paul R. Rosenbaum, Orit Even-Shoshan, Mayadah Shabbout, Xuemei Zhang, Eric T. Bradlow, and Roger R. Marsh. "Length of Stay, Conditional Length of Stay, and Prolonged Stay in Pediatric Asthma." Health Services Research 38, no. 3 (June 2003): 867–86. http://dx.doi.org/10.1111/1475-6773.00150.

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&NA;. "LENGTH OF STAY." Nursing Management (Springhouse) 30, no. 9 (September 1999): 9. http://dx.doi.org/10.1097/00006247-199909000-00003.

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Schwarz, Conrad, and Maelor Valiance. "Length of Stay." Psychiatric Services 38, no. 2 (February 1987): 201. http://dx.doi.org/10.1176/ps.38.2.201.

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4

Marchette, Lisa, and Faye Holloman. "Length of Stay." JONA: The Journal of Nursing Administration 16, no. 3 (March 1986): 12???20. http://dx.doi.org/10.1097/00005110-198603000-00004.

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Brasel, Karen J. "Length of Stay." Archives of Surgery 142, no. 5 (May 1, 2007): 461. http://dx.doi.org/10.1001/archsurg.142.5.461.

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6

Liu, Vincent, Patricia Kipnis, Michael K. Gould, and Gabriel J. Escobar. "Length of Stay Predictions." Medical Care 48, no. 8 (August 2010): 739–44. http://dx.doi.org/10.1097/mlr.0b013e3181e359f3.

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Pollack, Murray M., Richard Holubkov, Ron Reeder, J. Michael Dean, Kathleen L. Meert, Robert A. Berg, Christopher J. L. Newth, et al. "PICU Length of Stay." Pediatric Critical Care Medicine 19, no. 3 (March 2018): 196–203. http://dx.doi.org/10.1097/pcc.0000000000001425.

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Fletcher, J. "Comparing length of stay." BMJ 338, apr01 4 (April 1, 2009): b1280. http://dx.doi.org/10.1136/bmj.b1280.

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Goldstein, S. "Controversy: length of stay." Journal of the American College of Surgeons 192, no. 1 (January 2001): 142. http://dx.doi.org/10.1016/s1072-7515(00)00767-5.

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Weatherford, Lawrence R. "Length of Stay Heuristics." Cornell Hotel and Restaurant Administration Quarterly 36, no. 6 (December 1995): 70–79. http://dx.doi.org/10.1177/001088049503600620.

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Дисертації з теми "Length of stay (LOS)"

1

Drager, Katrina A. "Inpatient psychiatric length of stay and readmission rates." Menomonie, WI : University of Wisconsin--Stout, 2007. http://www.uwstout.edu/lib/thesis/2007/2007dragerk.pdf.

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Chapman, Evelyn A. 1929. "Nurse case management and hospital length of stay." Thesis, The University of Arizona, 1990. http://hdl.handle.net/10150/291813.

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The relationship between hospital length of stay (LOS) and Nurse Case Management (NCM), defined as the coordination of care along a continuum of hospital and community, was investigated. Three groups of discharged patients in the Diagnostic Related Groups (DRGs) of the Respiratory and Circulatory Medical Diagnostic Categories (MDCs) were described and compared: those who had NCM pre-hospitalization (n = 43), those who had NCM initiated during hospitalization or shortly afterward (n = 22), and those who had no NCM (n = 50). The NCM pre-hospitalization group was older and more likely to live alone. The non-NCM group had more admissions to Critical care. The NCM pre-hospitalization group entered the hospital with lower acuities. The NCM initiated during hospitalization group had significantly higher LOS than the other two groups. There was no significant relationship between LOS and the number and duration of NCM visits. The findings suggest that (1) NCM subjects were at higher risk due to age and living situation and (2) NCM may be associated with reduced LOS on subsequent admissions.
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Horrocks, Julie. "Double barrier models for length of stay in hospital." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1999. http://www.collectionscanada.ca/obj/s4/f2/dsk1/tape10/PQDD_0003/NQ44767.pdf.

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Heartfield, Marie. "Governing recovery : a discourse analysis of hospital stay length /." Connect to thesis, 2002. http://eprints.unimelb.edu.au/archive/00001712.

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Haybarker, Brian Dale. "Reducing Emergency Department Length of Stay by System Change." ScholarWorks, 2015. http://scholarworks.waldenu.edu/dissertations/1477.

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Emergency departments (ED) are exceeding the Centers for Medicare and Medicaid Services and The Joint Commission's recommended 4-hour door-to-admission and 2-hour door-to-discharge for patients. The purpose of this project was to look for factors that decrease door-to-admission and door-to-discharge times and offer recommendations to the Patient Flow Committee (PFC) at the health care facility that may reduce overcrowding, diversion, and patient boarding. The 7-step Iowa model of evidence-based practice (EBP) was used to concentrate on problem-focused triggers that initiate the need for change. The project focused on decreasing door-to-admission and door-to discharge times: by opening an observation unit run by the ED to decrease door-to-admission and door-to-discharge times, increasing point-of-care testing (POCT) within the ED to decrease patients' door-to-admission and door-to-discharge times, and placing a provider in triage to decrease the number of non-urgent patients seen in the ED. A systematic literature review was conducted to gather evidence-based practices other organizations have implemented to decrease the ED patients' length of stay. Article inclusion was based on those strategies that would best fit the milieu of the ED and would be sustainable. Four themes including guidelines, algorithms, expanded services, and modified processes were identified through comprehensive analysis of pertinent literature. A presentation to the 20 member multidisciplinary PFC team presented changes to the current system that may meet goals of reducing overcrowding, diversion, and patient boarding. Since door-to-admission and door-to-discharge times are reported quarterly to the PFC, members will be able to see the impact of the changes and on decreased times for ED patients.
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Mahoney, Kayla. "Pediatric anterior cruciate ligament surgeries and length of stay." Thesis, Boston University, 2012. https://hdl.handle.net/2144/12500.

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Thesis (M.A.)--Boston University PLEASE NOTE: Boston University Libraries did not receive an Authorization To Manage form for this thesis or dissertation. It is therefore not openly accessible, though it may be available by request. If you are the author or principal advisor of this work and would like to request open access for it, please contact us at open-help@bu.edu. Thank you.
Objective: To determine the efficiency of nerve blocks in decreasing length of stay and verbal pain scores postoperatively in pediatric and adolescent patients undergoing anterior cruciate ligament (ACL) surgery. Design: A retrospective chart review of approximately 900 patients that underwent ACL surgery at Children's Hospital Boston and Waltham between the years of 2007 and 2010 was conducted. Patients' American Society of Anesthesiologists physical classification system number, weight, gender, birthday, length of stay, verbal pain scores, blocks given and local analgesics within them, complications, Emergency Department visits, graft type, readmission rates, and if the stay was extended or not was collected. Kruskai-Wallis tests were run to test if the control group (those without nerve blocks) and those with nerve blocks had statistically different significances between pain scores and length of stay. Results: Including all patients, the mean length of stay was 22.37 hours with a minimum stay of 3.75 hours and a maximum stay of 103.9 hours. The majority of patients had ASA's of one (77.3%), with a smaller percentage having a score of two (22.2%) and three (0.5%). The most prevalent graft type used was the hamstring tendon autograft (67%). There was a statistically significant difference p less than .001 in the median length of stay between graft types, with the patellar tendon graft having the lowest length of stay. The most common type of block given was the femoral block which was given in 70.5% of cases, followed by the femoral-sciatic (17.2%), femoral/lateral femoral cutaneous (2.3%), femoral catheter (1.7%), fascia iliac (1.7%), femoral block with femoral catheter (0.5%), sciatic block with femoral catheter (0.3%), and femoral-sciatic block with femoral catheter (0.1%). Although there was no statistically significance in pain scores (p value =.940), or in length of stay (p value =0.110) between those who received blocks and those that did not; there was a statistically significant difference in both pain scores, p less than 0.004, and length of stay p less than 0.001 between the types of blocks given. Those who received femoral-sciatic blocks had the shortest median hospital stay (8.76 hours) within the group of patients that received the nerve blocks. Besides there being no statistically significance difference in length of stay between those that received blocks and those that did not, there was also no difference in rates of extended stay between those who received blocks and those that did not (p value =0.171) or between the types of blocks given (p score =0.161). When looking at the local anesthetics used in the blocks those who received ropivacaine had lower median pain scores than those receiving bupivacaine (p value =.025); however, the median length of stay was the same regardless of the anesthetic used (p value =0.518). There was no statistically significant difference in complications between those receiving blocks and those not (p value =0.163) or between block types (p value =0.217). The same is true with ED visits. Conclusions: Although our hypothesis that those who had blocks would have lower pain scores and lengths of stay compared to those not given blocks was proven wrong, the results do lead to the possibility of studies comparing the effectiveness of instead using femoral-sciatic blocks, especially in non-allograft cases. In addition, an extension of this study is currently underway with more controls to see if there is a difference between those given blocks and those who were not in length of stay that was not detected in our study.
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Ezell, Wandella. "Length of Stay and Reimbursement Rates for Medicare Patients." ScholarWorks, 2017. https://scholarworks.waldenu.edu/dissertations/5005.

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Medicare reimbursement rates across the United States have varied by as much as 49-130% across healthcare facilities. Geographic adjustments and severity of medical diagnoses attribute to some dissimilarity; however, the source of longer hospitalization and higher re-admission rates among Medicare patients requires financial consistency. The research encompassed (N = 3000) patients with hypertension as the focus for the study because this is a critical group of Medicare patients with a chronic disease that has been identified as a silent killer. The principal goal that drove this research study was to explain the variations in length of stay for Medicare patients with hypertension. The theoretical framework was the epidemiological triad model composed of person, place, and time variables. A secondary data set was acquired from the Healthcare Cost and Utilization Project Nationwide database of the National Inpatient Sample for the duration of 2011 - 2013. A multiple logistic regression analysis was conducted to determine if there was a correlation between length of stay and reimbursement rates for hypertensive Medicare patients. The findings of this research study provided an analytical explanation for the forces that have been driving Medicare patients' LOS, and rate of reimbursement. The research study yielded variations in the rate of reimbursement for a government entity in medical charges by illustrating the utilization of geographic price variations. The findings revealed that the categorical variable LOS and reimbursement rates for Medicare hypertensive patients had a significant correlation, and with higher reimbursement rates that were associated with longer hospital duration. The findings of the research study may inform Medicare decision-makers to eliminate geographic price variation and provide greater consistency in the rate of reimbursement, as well as a uniformity in length of stay across all regions of the United States.
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Durbin, Janet. "Role of patient severity in predicting length of hospital stay." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1997. http://www.collectionscanada.ca/obj/s4/f2/dsk2/ftp04/mq29213.pdf.

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Waller, Glenn R. "Length of stay and recidivism : a study of elderly patients /." Full text available from ProQuest UM Digital Dissertations, 2005. http://0-proquest.umi.com.umiss.lib.olemiss.edu/pqdweb?index=0&did=1260788691&SrchMode=1&sid=10&Fmt=2&VInst=PROD&VType=PQD&RQT=309&VName=PQD&TS=1185223236&clientId=22256.

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Guzman, Castillo M. "Modelling patient length of stay in public hospitals in Mexico." Thesis, University of Southampton, 2012. https://eprints.soton.ac.uk/345554/.

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This thesis is concerned with the modelling of patient length of stay in public hospitals in Mexico. Patient length of stay is the most commonly worldwide employed outcome measure for hospital resource consumption and performance monitoring. Most of the hospitals around the world use average length of stay as starting point for resource planning. However average estimates frequently gives non-accurate results due to the high variability of the length of stay data. The reason for such high variability may be attributable to the diversity in the patient population and the environment where the patient is treated. Through a systematic review of the literature on methods and models in the field of calculating and predicting patient length of stay, this research highlights the areas of opportunity and research gap from previous studies and practices, and proposes the use of finite mixture models to approximate the distribution of length of stay. Also, these models are proposed as the foundation of more sophisticated models designed to include the internal and external factors associated with LoS. In this context, the thesis proposes three different approaches to explore such factors: individual-based approach, group-based approach and multilevel group-based approach. These interrelated approaches allow a better understanding of the diversity in the patient population and enable length of stay predictions for individual patients, and for cohorts of patients within and between hospitals. In addition, this research is built and evaluated using data from all types of patients treated at two public hospitals operating in Mexico. It is the consideration of the full case-mix of these healthcare facilities that gives this research its unique nature.
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Книги з теми "Length of stay (LOS)"

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Hall, Margaret Jean. Long-stay patients in short-stay hospitals. [Hyattsville, Md.] (6525 Belcrest Rd., Hyattsville 20782): [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. [Hyattsville, Md.] (6525 Belcrest Rd., Hyattsville 20782): [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. [Hyattsville, Md.] (6525 Belcrest Rd., Hyattsville 20782): [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. [Hyattsville, Md.] (6525 Belcrest Rd., Hyattsville 20782): [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. Canberra: Australian Institute of Health and Welfare, 1996.

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6

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

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7

Terbush, Thomas W. 1989 Medicare lengths-of-stay. Richmond, Va. (P.O. Box 35428, Richmond 23235): Terbush & Parker Systems, 1989.

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8

Epshṭain, Liʾon. Yeme ishpuz bilti mutsdaḳim be-vate ḥolim kelaliyim: Sikum seḳer she-neʻerakh bi-shene bate ḥolim bi-tsefon ha-arets. Yerushalayim: 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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9

Farley, Dean E. Trends in hospital average lengths of stay, casemix, and discharge, 1980-85. Rockville, MD: 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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Epshṭain, Liʼon. Yeme ishpuz bilti mutsdaḳim be-vate ḥolim kelaliyim: Sikum seḳer she-neʻerakh bi-shene bate ḥolim bi-tsefon ha-arets. Yerushalayim: 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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Частини книг з теми "Length of stay (LOS)"

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Wroblewski, B. M., Paul D. Siney, and Patricia A. Fleming. "Post-operative Length of Hospital Stay." In Charnley Low-Frictional Torque Arthroplasty of the Hip, 85–88. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-21320-0_9.

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Leandro-Merhi, Vania Aparecida, José Luiz Braga de Aquino, and Maria Rita Marques de Oliveira. "Nutritional Status and Length of Hospital Stay." In Diet and Nutrition in Critical Care, 1–14. New York, NY: Springer New York, 2014. http://dx.doi.org/10.1007/978-1-4614-8503-2_5-1.

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Leandro-Merhi, Vania Aparecida, José Luiz Braga de Aquino, and Maria Rita Marques de Oliveira. "Nutrition Status and Length of Hospital Stay." In Diet and Nutrition in Critical Care, 279–91. New York, NY: Springer New York, 2015. http://dx.doi.org/10.1007/978-1-4614-7836-2_5.

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Ali, Birjandi. "Length of Stay: Curing the Expense Disease." In Poised for Peak Performance in Healthcare, 93–105. Boca Raton : Taylor & Francis, 2018.: Productivity Press, 2018. http://dx.doi.org/10.4324/9781315175669-8.

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Neves, José, Vasco Abelha, Henrique Vicente, João Neves, and José Machado. "Length of Hospital Stay and Quality of Care." In Advances in Intelligent Systems and Computing, 273–87. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-27478-2_19.

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Kiesler, Charles A., and Celeste G. Simpkins. "Predicting Hospital Length of Stay for Psychiatric Inpatients." In The Unnoticed Majority in Psychiatric Inpatient Care, 81–92. Boston, MA: Springer US, 1993. http://dx.doi.org/10.1007/978-1-4899-1109-4_7.

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Chu, Charlene H. "Length of Stay in Long-Term Care Settings." In Encyclopedia of Gerontology and Population Aging, 1–7. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-319-69892-2_1080-1.

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Chu, Charlene H. "Length of Stay in Long-Term Care Settings." In Encyclopedia of Gerontology and Population Aging, 2890–96. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-22009-9_1080.

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de Menezes, António Gomes, José Cabral Vieira, and Ana Isabel Moniz. "Determinants of Length of Stay – A Parametric Survival Analysis." In Advances in Tourism Economics, 85–104. Heidelberg: Physica-Verlag HD, 2009. http://dx.doi.org/10.1007/978-3-7908-2124-6_6.

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Stone, Kieran, Reyer Zwiggelaar, Phil Jones, and Neil Mac Parthaláin. "Predicting Hospital Length of Stay for Accident and Emergency Admissions." In Advances in Intelligent Systems and Computing, 283–95. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-29933-0_24.

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Тези доповідей конференцій з теми "Length of stay (LOS)"

1

Otto, R., W. Schirrmeister, F. Walcher, and S. Drynda. "Length of Stay – ein guter Qualitätsindikator?" In Soziale Gesundheit neu denken: Herausforderungen für Sozialmedizin und medizinische Soziologie in der digitalen Spätmoderne – Gemeinsame Jahrestagung der DGSMP und der DGMS. Georg Thieme Verlag, 2022. http://dx.doi.org/10.1055/s-0042-1753931.

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Manweiler, Justin, Naveen Santhapuri, Romit Roy Choudhury, and Srihari Nelakuditi. "Predicting length of stay at WiFi hotspots." In IEEE INFOCOM 2013 - IEEE Conference on Computer Communications. IEEE, 2013. http://dx.doi.org/10.1109/infcom.2013.6567123.

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Liu, Peng, Lei Lei, Junjie Yin, Wei Zhang, Wu Naijun, and Elia El-Darzi. "Healthcare Data Mining: Prediction Inpatient Length of Stay." In 2006 3rd International IEEE Conference Intelligent Systems. IEEE, 2006. http://dx.doi.org/10.1109/is.2006.348528.

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Lacerda, Anisio, and Gisele L. Pappa. "Deep Thompson Sampling for Length of Stay Prediction." In 2021 International Joint Conference on Neural Networks (IJCNN). IEEE, 2021. http://dx.doi.org/10.1109/ijcnn52387.2021.9533667.

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Grampurohit, Sneha, and Sagar Sunkad. "Hospital Length of Stay Prediction using Regression Models." In 2020 IEEE International Conference for Innovation in Technology (INOCON). IEEE, 2020. http://dx.doi.org/10.1109/inocon50539.2020.9298294.

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Krüger, Felix, Tobias Schäffer, and Gerrit Stahn. "Shorter length of stay keeps the doctor away? About the influence of the length of hospital stay on the recovery." In 16th Conference on Computer Science and Intelligence Systems. PTI, 2021. http://dx.doi.org/10.15439/2021f115.

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Crook, JL, J. Ross, D. Devji, and I. Lam. "G46(P) Patient facing pharmacist reduces length of stay for paediatric short stay patients." In Royal College of Paediatrics and Child Health, Abstracts of the RCPCH Conference and exhibition, 13–15 May 2019, ICC, Birmingham, Paediatrics: pathways to a brighter future. BMJ Publishing Group Ltd and Royal College of Paediatrics and Child Health, 2019. http://dx.doi.org/10.1136/archdischild-2019-rcpch.46.

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Lella, Luigi, and Ignazio Licata. "Length of Hospital Stay Prediction through Unorganised Turing Machines." In 11th International Conference on Health Informatics. SCITEPRESS - Science and Technology Publications, 2018. http://dx.doi.org/10.5220/0006577804020407.

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Ding, Ru, Melissa L. McCarthy, Jennifer Lee, Jeffrey S. Desmond, Scott L. Zeger, and Dominik Aronsky. "Predicting Emergency Department Length of Stay Using Quantile Regression." In 2009 International Conference on Management and Service Science (MASS). IEEE, 2009. http://dx.doi.org/10.1109/icmss.2009.5300861.

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Mathew, Reeba, and Khalid Almoosa. "Ethnic Variations In Intensive Care Unit Length Of Stay." In American Thoracic Society 2010 International Conference, May 14-19, 2010 • New Orleans. American Thoracic Society, 2010. http://dx.doi.org/10.1164/ajrccm-conference.2010.181.1_meetingabstracts.a4561.

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Звіти організацій з теми "Length of stay (LOS)"

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Tipton, Kelley, Brian F. Leas, Nikhil K. Mull, Shazia M. Siddique, S. Ryan Greysen, Meghan B. Lane-Fall, and Amy Y. Tsou. Interventions To Decrease Hospital Length of Stay. Agency for Healthcare Research and Quality (AHRQ), September 2021. http://dx.doi.org/10.23970/ahrqepctb40.

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Анотація:
Background. Timely discharge of hospitalized patients can prevent patient harm, improve patient satisfaction and quality of life, and reduce costs. Numerous strategies have been tested to improve the efficiency and safety of patient recovery and discharge, but hospitals continue to face challenges. Purpose. This Technical Brief aimed to identify and synthesize current knowledge and emerging concepts regarding systematic strategies that hospitals and health systems can implement to reduce length of stay (LOS), with emphasis on medically complex or vulnerable patients at high risk for prolonged LOS due to clinical, social, or economic barriers to timely discharge. Methods. We conducted a structured search for published and unpublished studies and conducted interviews with Key Informants representing vulnerable patients, hospitals, health systems, and clinicians. The interviews provided guidance on our research protocol, search strategy, and analysis. Due to the large and diverse evidence base, we limited our evaluation to systematic reviews of interventions to decrease hospital LOS for patients at potentially higher risk for delayed discharge; primary research studies were not included, and searches were restricted to reviews published since 2010. We cataloged the characteristics of relevant interventions and assessed evidence of their effectiveness. Findings. Our searches yielded 4,364 potential studies. After screening, we included 19 systematic reviews reported in 20 articles. The reviews described eight strategies for reducing LOS: discharge planning; geriatric assessment or consultation; medication management; clinical pathways; inter- or multidisciplinary care; case management; hospitalist services; and telehealth. All reviews included adult patients, and two reviews also included children. Interventions were frequently designed for older (often frail) patients or patients with chronic illness. One review included pregnant women at high risk for premature delivery. No reviews focused on factors linking patient vulnerability with social determinants of health. The reviews reported few details about hospital setting, context, or resources associated with the interventions studied. Evidence for effectiveness of interventions was generally not robust and often inconsistent—for example, we identified six reviews of discharge planning; three found no effect on LOS, two found LOS decreased, and one reported an increase. Many reviews also reported patient readmission rates and mortality but with similarly inconsistent results. Conclusions. A broad range of strategies have been employed to reduce LOS, but rigorous systematic reviews have not consistently demonstrated effectiveness within medically complex, high-risk, and vulnerable populations. Health system leaders, researchers, and policymakers must collaborate to address these needs.
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Joyce, Theodore, Andrew Racine, Sandra McCalla, and Hassan Wehbeh. The Impact of Prenatal Exposure to Cocaine on Newborn Costs and Length of Stay. Cambridge, MA: National Bureau of Economic Research, March 1994. http://dx.doi.org/10.3386/w4673.

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Cole, David N., and Troy E. Hall. Wilderness visitors, experiences, and management preferences: How they vary with use level and length of stay. Ft. Collins, CO: U.S. Department of Agriculture, Forest Service, Rocky Mountain Research Station, 2008. http://dx.doi.org/10.2737/rmrs-rp-71.

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Salkever, David, and Donald Steinwachs. Hospital Admissions, Length of Stay, and Case-Mix Impacts of Per Case Payment: The Maryland Experience. Cambridge, MA: National Bureau of Economic Research, August 1986. http://dx.doi.org/10.3386/w2010.

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Zeng, Siyao, Lei Ma, Lishan Yang, Xiaodong Hu, Xinxin Guo, Yi Li, Yao Zhang, et al. Advantages of damage control surgery over conventional surgery inmultiple trauma: a meta-analysis. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, October 2022. http://dx.doi.org/10.37766/inplasy2022.10.0006.

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Анотація:
Review question / Objective: This meta-analysis aims to explore whether damage control surgery has advantages over traditional surgery in the treatment of multiple trauma. Information sources: The Chinese Biomedical literature (CBM), Chinese National Knowledge Infrastructure (CNKI), Weipu (VIP), Duxiu, WanFang, Web of sciense, PubMed, Scopus, Ovid, EMbase, ProQuest, Cochrane, Chinese clinical trial Registry and Clinical Trials.gov databases. Main outcome(s): mortality rate, the success rate of rescue, In-hospital length of stay, ICU length of stay, the overall incidence rate of complications, incidence of disseminated intravascular coagulation (DIC), incidence of multiple organ dysfunction syndrome (MODS) , incidence of shock.
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Walker, G. J., and Christopher G. Blood. An Analysis of Hospitalization Length of Stay Within a Multi-Echelon System of Care During Combat Operations. Fort Belvoir, VA: Defense Technical Information Center, September 1999. http://dx.doi.org/10.21236/ada375002.

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Hodges, Ashlee, Anna Claire Briscoe, Anna Beth Willoughby, Carlton Hubbard, and Nathan Smith. Effect of Early Mobilization on Length of Hospital Stay in COVID-19 Patients: A Critically Appraised Topic. University of Tennessee Health Science Center, May 2022. http://dx.doi.org/10.21007/chp.mot2.2021.0014.

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Miller, Kaleigh. US Guided Management of Undifferentiated Dyspneic Patient in the ED. University of Tennessee Health Science Center, March 2020. http://dx.doi.org/10.21007/com.lsp.2020.0001.

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Intro: Undifferentiated dyspnea can be a complicated presentation muddled by patient comorbidities and similar symptomology shared among etiologies. Some studies have shown increased mortality and length of stay in the hospital when incorrectly initially diagnosed in the ED. US has been shown more effective at differentiating these causes and improves diagnostic accuracy. This study will implement US exam upon initial exam of patient and chart time to diagnosis/treatment, length of stay in ED, length of stay in hospital admissions versus discharge rates, and 30 day mortality. ADHF and COPD/asthma patient differentiation will be the focus. Methods: Prospective cohort study of more than 18 years that present with the primary complaint of dyspnea with more than one complicating comorbid condition. Initial exam by physician will be accompanied by cardiothoracic US previously verified. Results: Study powered by previous year average of time to diagnosis of institution. Patient characteristics, distribution by diagnostic category, and characteristics found on US in correlation with diagnosis will be included for multivariate analysis. Conclusions: We expect to see a singificant difference in our time to diagnosis/treatment and mortality rate.
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Nam, Jae Hyun, Hee Jin Kwack, Woo Seob Ha, and Jee-Eun Chung. Resuscitation fluids for patients with risk factors of multiple organ failure: A systematic review and meta-analysis. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, July 2022. http://dx.doi.org/10.37766/inplasy2022.7.0091.

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Review question / Objective: P: patients with risk factors of multiple organ failure I: balanced crystalloids C: normal saline O: mortality, in-hospital mortality, renal failure, length of ICU stay, length of hospital stay. Condition being studied: In clinical field, aggressive fluid resuscitation therapy is administered to prevent the progression of multiple organ failures by maintaining tissue and organ perfusion. Normal saline is frequently used, but it has been some concerns. Although large-scale studies with balanced crystalloids have been conducted, they couldn’t reach significant conclusions due to the diversity of disease severity. Therefore, we aims to evaluate and identify the best fluid for patients at high risk of multiple organ failure by comparing the effects of normal saline and balanced crystalloids.
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Abedinov, Filip, Plamen Krastev, Ralitza Marinova, Iliyan Petrov, Neda Bakalova, Rumen Iliev, and Hristo Angelov. Perioperative Factors Linked to Prolonged Length of Stay in the ICU Following Cardiac Surgery – Analysis of Distant Results in Survivors. "Prof. Marin Drinov" Publishing House of Bulgarian Academy of Sciences, December 2019. http://dx.doi.org/10.7546/crabs.2019.12.14.

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