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Relevant bibliographies by topics / Length of stay (LOS) / Journal articles

Journal articles on the topic 'Length of stay (LOS)'

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Author: Grafiati

Published: 10 December 2022

Last updated: 28 January 2023

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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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2

&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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3

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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5

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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7

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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8

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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9

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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10

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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11

Jones, Rod. "Length of stay efficiency." British Journal of Healthcare Management 15, no. 11 (November 2009): 563–64. http://dx.doi.org/10.12968/bjhc.2009.15.11.45021.

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12

Jones, Rod. "Benchmarking length of stay." British Journal of Healthcare Management 16, no. 5 (May 2010): 248–50. http://dx.doi.org/10.12968/bjhc.2010.16.5.47941.

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13

SCHULKIN, J., and G. HOLZMAN. "Postpartum length of stay." ACOG Clinical Review 3, no. 5 (September 10, 1998): 13–14. http://dx.doi.org/10.1016/s1085-6862(98)00023-5.

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14

Liew, Don, Danny Liew, and Marcus P. Kennedy. "Emergency department length of stay independently predicts excess inpatient length of stay." Medical Journal of Australia 179, no. 10 (November 2003): 524–26. http://dx.doi.org/10.5694/j.1326-5377.2003.tb05676.x.

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15

Thrane, Christer. "Modelling tourists’ length of stay." Tourism Economics 22, no. 6 (September 21, 2016): 1352–66. http://dx.doi.org/10.5367/te.2015.0489.

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Modelling of tourists’ length of stay (LOS) is an expanding topic of study. A common thread in this literature is the use of sophisticated statistical/econometric methods. The present study builds on and extends an article critical of the statistical craftsmanship in prior LOS modelling studies. On the basis of an updated assessment of current practice and two small-scale case studies, two main conclusions are drawn. First, the available evidence suggests that the ordinary least squares (OLS) regression model produces qualitatively similar findings to much more complicated methods, such as duration and count data models. The principle of parsimony and the so-called KISS rule thus dictate that OLS regression analysis should be the preferred estimation technique in LOS modelling studies. Second, the quality of LOS modelling studies will most likely be improved by intensifying the use of the long-established tools of the trade explicated in influential econometric textbooks rather than by testing new estimation methods.

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16

Clifford, Theresa. "Length of Stay—Discharge Criteria." Journal of PeriAnesthesia Nursing 29, no. 2 (April 2014): 159–60. http://dx.doi.org/10.1016/j.jopan.2013.12.005.

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17

Brody, Diana, Kibra Ghebre, Maday Letson, Kathy Dureault, and Beth Villasenor. "Reducing PACU Length of Stay." Journal of PeriAnesthesia Nursing 29, no. 5 (October 2014): e2. http://dx.doi.org/10.1016/j.jopan.2014.08.011.

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18

Fenn, Paul, and Philip Davies. "Variations in length of stay." Journal of Health Economics 9, no. 2 (September 1990): 223–34. http://dx.doi.org/10.1016/0167-6296(90)90019-y.

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19

Hein, Herman A. "Length of stay for neonates." American Journal of Obstetrics and Gynecology 151, no. 3 (February 1985): 421. http://dx.doi.org/10.1016/0002-9378(85)90323-0.

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20

Bezold, Holly S., Martin MacDowell, and Robert Kunkel. "Predicting psychiatric length of stay." Administration and Policy in Mental Health 23, no. 5 (May 1996): 407–23. http://dx.doi.org/10.1007/bf02112901.

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21

Lee, Andy H., Wing K. Fung, and Bo Fu. "Analyzing Hospital Length of Stay." Medical Care 41, no. 5 (May 2003): 681–86. http://dx.doi.org/10.1097/01.mlr.0000062550.23101.6f.

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22

Roberts, Sarah A., and Gina B. Kruger. "Reasons for increased postnatal length of stay & women's perceptions of length of stay." Australian Journal of Midwifery 14, no. 2 (January 2001): 12–15. http://dx.doi.org/10.1016/s1445-4386(01)80044-6.

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23

Singer, A., P. Viccellio, E. Niegelberg, H. Thode, and M. Henry. "Introduction of a Stat Laboratory Reduces ED Length of Stay." Academic Emergency Medicine 14, no. 5 Supplement 1 (May 1, 2007): S79. http://dx.doi.org/10.1197/j.aem.2007.03.922.

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24

Kaya, Hakki, Recep Kurt, Osman Beton, Ali Zorlu, Hasan Yucel, Hakan Gunes, Didem Oguz, and Mehmet Birhan Yilmaz. "Cancer Antigen 125 is Associated with Length of Stay in Patients with Acute Heart Failure." Texas Heart Institute Journal 44, no. 1 (February 1, 2017): 22–28. http://dx.doi.org/10.14503/thij-15-5626.

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Length of stay is the primary driver of heart-failure hospitalization costs. Because cancer antigen 125 has been associated with poor morbidity and mortality rates in heart failure, we investigated the relationship between admission cancer antigen 125 levels and lengths of stay in heart-failure patients. A total of 267 consecutive patients (184 men, 83 women) with acute decompensated heart failure were evaluated prospectively. The median length of stay was 4 days, and the patients were classified into 2 groups: those with lengths of stay ≤4 days and those with lengths of stay >4 days. Patients with longer lengths of stay had a significantly higher cancer antigen 125 level of 114 U/mL (range, 9–298 U/mL) than did those with a shorter length of stay (19 U/mL; range; 3–68) (P <0.001). The optimal cutoff level of cancer antigen 125 in the prediction of length of stay was >48 U/mL, with a specificity of 95.8% and a sensitivity of 96% (area under the curve, 0.979; 95% confidence interval [CI], 0.953–0.992). In the multivariate logistic regression model, cancer antigen 125 >48 U/mL on admission (odds ratio=4.562; 95% CI, 1.826–11.398; P=0.001), sodium level (P<0.001), creatinine level (P=0.009), and atrial fibrillation (P=0.015) were also associated with a longer length of stay after adjustment for variables found to be statistically significant in univariate analysis and correlated with cancer antigen 125 level. In addition, it appears that in a cohort of patients with acute decompensated heart failure, cancer antigen 125 is independently associated with prolonged length of stay.

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25

Edward-Chandran, Therese, De Malcolm, and RC Bowen. "Reduction of Length of Stay in an Acute Care Psychiatric Unit." Canadian Journal of Psychiatry 41, no. 1 (February 1996): 49–51. http://dx.doi.org/10.1177/070674379604100111.

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Objective: To study the association between reduced length of stay in an acute care psychiatric unit and readmission rates. Method: Data on average length of stay, total discharges and readmission rates from April 1988 to March 1994 for 2 hospitals with high average lengths of stay was obtained from the Canadian Institute for Health Information database. Results: The average length of stay decreased from 25 days to 16 days, reaching the national level at one hospital. An initial increase in the readmission rate subsequently declined to pre-study levels. There was no change in length of stay at the other hospital. Conclusion: Reducing the length of stay in an acute care facility by 9 days to an average of 16 days did not lead to a sustained increase in the readmission rate.

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26

Baker, Brian, and James Rochon. "Length of Stay, Short Stay Units and Psychiatric Emergency Admissions." Canadian Journal of Psychiatry 34, no. 1 (February 1989): 39–42. http://dx.doi.org/10.1177/070674378903400110.

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Length of stay information was collected from 1,364 individuals over a one year period for five general hospitals in a major metropolitan area. The current set of data represents homogeneity in the nature of admissions and the type of facilities examined. Three of the hospitals operated short stay units. Significant differences in the total length of stay were observed according to age, sex and presence of psychosis but there were no unequivocal distinctions between short stay and conventional hospitals.

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27

Chamie, Karim, Stacy T. Tanaka, Brian Hu, and Eric A. Kurzrock. "Short Stay Pyeloplasty: Variables Affecting Pain and Length of Stay." Journal of Urology 179, no. 4 (April 2008): 1549–52. http://dx.doi.org/10.1016/j.juro.2007.11.093.

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28

Inoue, Megumi, Matthew G. Kestenbaum, and Cameron Muir. "FACTORS ASSOCIATED WITH LENGTH OF HOSPICE STAY." Innovation in Aging 3, Supplement_1 (November 2019): S237—S238. http://dx.doi.org/10.1093/geroni/igz038.886.

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Abstract The benefits of early referral to hospice services have been well documented. However, late admissions and short hospice stays are ongoing issues that are often barriers to improving terminally-ill persons’ and the caregivers’ quality of life and the quality of care. Using ordered logistic regression, this study analyzed the length of stay of 7,307 patients who died in 2015 while receiving care in the largest hospice agency in the DC metro region. Cancer diagnoses and residence in a higher median income neighborhood were associated with shorter lengths of stay. Female sex, older age, and residence in a lower median income neighborhood were associated with longer lengths of stay. The findings indicate that differences in demographic and diagnostic characteristics likely affect hospice length of stay.

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29

Sclar, David A., Linda M. Robison, Tracy L. Skaer, and Richard S. Galin. "Hospital Length of Stay for Schizophrenia." Disease Management and Health Outcomes 5, no. 6 (1999): 339–47. http://dx.doi.org/10.2165/00115677-199905060-00004.

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30

Brooks, Nicky. "Length of stay in community hospitals." Nursing Standard 15, no. 27 (March 21, 2001): 33–38. http://dx.doi.org/10.7748/ns2001.03.15.27.33.c2998.

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31

Oklevik, Ove, Grzegorz Kwiatkowski, Ewa Malchrowicz-Mośko, Luiza Ossowska, and Dorota Janiszewska. "Determinants of tourists’ length of stay." PLOS ONE 16, no. 12 (December 7, 2021): e0259709. http://dx.doi.org/10.1371/journal.pone.0259709.

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This paper aims to identify the determinants of the length of stay (LoS) of international tourists in Norway. The paper reassesses the standard assumption related to tourists’ LoS; it refers to the travel industry’s current trends, and it postulates a more sustainable approach to analyzing tourists’ LoS at the destination level. The paper concludes with a series of recommendations. The data for this study were collected during 153 data collection days and among 5,300 travelers in Norway. The determinants of LoS were analyzed by means of an ordinary least squares (OLS) regression. The results indicate that tourists’ LoS is positively related to their age, interests (nature-based tourists), origin (German, Dutch tourists) and mode of travel organization (package tourists). A negative and significant effect on tourists’ LoS was found for tourists’ interests (urban-based tourists), spending, and origin (home market, long-haul tourists). No significant results were revealed for two covariates, namely, gender and repeat visitation.

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32

Lequertier, Vincent, Tao Wang, Julien Fondrevelle, Vincent Augusto, and Antoine Duclos. "Hospital Length of Stay Prediction Methods." Medical Care 59, no. 10 (July 26, 2021): 929–38. http://dx.doi.org/10.1097/mlr.0000000000001596.

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33

Daradkeh, Tewfik K., Omer E. F. El-Rufaie, Fatma Reda, and Lina Karim. "Predictors of length of hospital stay." Nordic Journal of Psychiatry 50, no. 2 (January 1996): 127–31. http://dx.doi.org/10.3109/08039489609081399.

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34

Cresswell, J. L., and P. K. Iqbal. "Length of stay after vaginal hysterectomy." BJOG: An International Journal of Obstetrics and Gynaecology 101, no. 11 (November 1994): 1025. http://dx.doi.org/10.1111/j.1471-0528.1994.tb13062.x.

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35

Zimmerman, Jack E. "Intensive care unit length of stay." Critical Care Medicine 27, no. 7 (July 1999): 1393–94. http://dx.doi.org/10.1097/00003246-199907000-00043.

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36

Haeseler, John K. "Chapter 30: Length Of Visitor Stay." Visitor Studies 2, no. 1 (January 1989): 252–58. http://dx.doi.org/10.1080/10645578909443609.

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37

Carey, Kathleen, and Meng-Yun Lin. "Hospital Length of Stay and Readmission." Medical Care Research and Review 71, no. 1 (October 16, 2013): 99–111. http://dx.doi.org/10.1177/1077558713504998.

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38

Lagoe, Ronald J., Gert P. Westert, Kathleen Kendrick, Gene Morreale, and Saundra Mnich. "Managing Hospital Length of Stay Reduction." Health Care Management Review 30, no. 2 (April 2005): 82–92. http://dx.doi.org/10.1097/00004010-200504000-00002.

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39

PULINA, MANUELA. "Modelling and Forecasting Length of Stay." Anatolia 21, no. 2 (December 2010): 305–21. http://dx.doi.org/10.1080/13032917.2010.9687105.

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40

Kehlet, Henrik, and Christoffer Calov Jørgensen. "Nerve Blocks and Length of Stay?" Anesthesiology 127, no. 4 (October 1, 2017): 718. http://dx.doi.org/10.1097/aln.0000000000001782.

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41

MORRIS, PHILIP L. P. "Psychological Comorbidity and Length of Stay." American Journal of Psychiatry 148, no. 11 (November 1991): 1623—b—1624. http://dx.doi.org/10.1176/ajp.148.11.1623-b.

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42

Mezzich, Juan E., and Gerald A. Coffman. "Factors Influencing Length of Hospital Stay." Psychiatric Services 36, no. 12 (December 1985): 1262–70. http://dx.doi.org/10.1176/ps.36.12.1262.

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43

Waddle, Jean P., Alex S. Evers, and Jay F. Piccirillo. "Postanesthesia Care Unit Length of Stay." Anesthesia & Analgesia 87, no. 3 (September 1998): 628–33. http://dx.doi.org/10.1097/00000539-199809000-00026.

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44

Waddle, Jean P., Alex S. Evers, and Jay F. Piccirillo. "Postanesthesia Care Unit Length of Stay." Anesthesia & Analgesia 87, no. 3 (September 1998): 628–33. http://dx.doi.org/10.1213/00000539-199809000-00026.

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45

Wolinsky, Fredric D., Rodney M. Coe, and Ray R. Mosely. "Length of Stay in the VA." Medical Care 25, no. 3 (March 1987): 250–53. http://dx.doi.org/10.1097/00005650-198703000-00008.

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46

Wanderer, Jonathan P., and Naveen Nathan. "Sad News for Length of Stay." Anesthesia & Analgesia 128, no. 2 (February 2019): 198. http://dx.doi.org/10.1213/ane.0000000000003997.

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47

Liu, Yingxin, Mike Phillips, and Jim Codde. "Factors influencing patients' length of stay." Australian Health Review 24, no. 2 (2001): 63. http://dx.doi.org/10.1071/ah010063.

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This study was conducted to evaluate the ability of AN-DRG version 3.1 to predict variation in patients' lengthof stay in hospital (LOS) and identify other factors that can influence the LOS by using routinely collectedhospital morbidity data. A total of 18 DRGs that comprised 4,589 episodes were analysed. Multiple regressionwas used to model length of stay as a function of a number of independent variables. Overall only 37.6% ofvariation in mean length of stay could be explained. DRGs predicted 30% of the total variation. Other factorssuch as age, payment classification, source of referral, specialty of doctor, and ethnic group also influencedpatient length of stay. It was concluded that the limited explanation was a consequence of a lack of a betterindicator of severity within DRGs.

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48

Barkun, Jeffrey S. T. "Relevance of length of stay reductions." Journal of the American College of Surgeons 191, no. 2 (August 2000): 192. http://dx.doi.org/10.1016/s1072-7515(00)00338-0.

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49

Gazzola, Deana M., Sujata Thawani, Olanrewaju Agbe-Davies, and Chad Carlson. "Epilepsy monitoring unit length of stay." Epilepsy & Behavior 58 (May 2016): 102–5. http://dx.doi.org/10.1016/j.yebeh.2016.02.031.

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50

Sander, Kathy L., and L. S. Swaim. "Length of Stay After Vaginal Delivery." Obstetrics & Gynecology 97, Supplement (April 2001): 64S. http://dx.doi.org/10.1097/00006250-200104001-00156.

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