Skip to main content

Logistic Regression Modeling for the Length of Stay Among the Hospitalized Patients After the 2010 Yushu Earthquake

  • Chapter
  • First Online:
Modeling the Injury Flow and Treatment after Major Earthquakes
  • 242 Accesses

Abstract

Objectives: The aim was to identify factors that influence length of stay (LOS) among patients with earthquake-related injury and then to offer insights with respect to future directions for effective health policies and measures to reduce LOS.

Methods: This was a retrospective cohort study. Forty-nine rear hospitals spanning five provinces in China were included in the present study. Medical records of 2086 adult patients who were transported from the 2010 Yushu earthquake area and admitted for earthquake-related injury from April 14 to May 15, 2010, were collected.

Results: A total of 2086 patients with earthquake-related injury were included in this study, with a mean (SD) age of 40.0 (14.6) years. For comparative purposes, a longer LOS was defined as a hospital stay of over 25 days (n = 775; 37.2 %), which represents the mean LOS value for all patients. Multivariate regression models show that being elderly (odds ratio [OR], 1.43; 95 % confidence interval [CI], 1.01–2.02), female (OR, 1.24; 95 % CI, 1.02–1.52), arriving earlier at the hospital (OR, 0.67; 95 % CI, 0.59–0.76), bone fracture (OR, 1.82; 95 % CI, 1.43–2.32), abdominal injury (OR, 1.62; 95 % CI, 1.20–2.17), injury to the extremities/pelvis injury (OR, 1.80; 95 % CI, 1.41–2.28), higher injury severity score (OR, 2.30; 95 % CI, 1.64–3.23), having undergone surgery (OR, 2.50; 95 % CI, 2.02–3.09), and having developed complications (OR, 1.74; 95 % CI, 1.20–2.54) were significantly and independently associated with longer LOS.

Conclusions: Strong preventive and therapeutic initiatives should be designed for elderly and female patients injured in earthquakes, especially within the initial days. Surgery was the greatest risk for a longer LOS. More attention should be paid to patients with fracture, trauma to the abdomen or extremities/pelvis, complications, or higher injury severity score. The factors identified in this study offer insights into directions for effective health policy to reduce LOS after a devastating earthquake.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 84.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 169.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 109.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  • Allman RM, et al. Pressure ulcers, hospital complications, and disease severity: impact on hospital costs and length of stay. Adv Wound Care: J Prevent Heal. 1999;12(1):22. ISSN 1076-2191.

    Google Scholar 

  • Babiker IE. Social and clinical correlates of the ‘new’long – stay. Acta Psychiatrica Scandinavica. 1980;61(4):365–75. ISSN 1600-0447.

    Google Scholar 

  • Baxt WG, Moody P. The impact of a rotorcraft aeromedical emergency care service on trauma mortality. JAMA. 1983;249(22):3047. ISSN 0098-7484.

    Google Scholar 

  • Baxt WG, et al. Hospital-based rotorcraft aeromedical emergency care services and trauma mortality: a multicenter study. Ann Emerg Med. 1985;14(9):859–64. ISSN 0196-0644.

    Google Scholar 

  • Binder S, Sanderson LM. The role of the epidemiologist in natural disasters. Ann Emerg Med. 1987;16(9):1081–4. ISSN 0196-0644.

    Google Scholar 

  • Broadbent MR, Will E, Mcqueen MM. Prediction of outcome after humeral diaphyseal fracture. Injury. 2010;41(6):572–7. ISSN 00201383.

    Google Scholar 

  • Brosseau L, et al. Post-stroke inpatient rehabilitation. I. Predicting length of stay. Am J Phys Med Rehabil. 1996; 75(6):422–30. ISSN 0894-9115 (Print) 0894-9115 (Linking). Available at: http://www.ncbi.nlm.nih.gov/pubmed/8985105.

    Google Scholar 

  • Bulut M, et al. Medical experience of a university hospital in Turkey after the 1999 Marmara earthquake. Emerg Med J. 2005;22(7):494. ISSN 1472-0213.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  • Doering LV, et al. Determinants of intensive care unit length of stay after coronary artery bypass graft surgery. Heart Lung. 2001;30(1):9–17. ISSN 0147-9563 (Print) 0147-9563 (Linking). Available at: http://www.ncbi.nlm.nih.gov/pubmed/11174363.

  • Erek E, et al. The Marmara earthquake: epidemiological analysis of the victims with nephrological problems. Kidney Int. 2001;60(3):1114–23. ISSN 0085-2538.

    Google Scholar 

  • Fakhry SM, et al. Trauma center finances and length of stay: identifying a profitability inflection point. J Am Coll Surg. 2010;210(5):817–21. ISSN 10727515.

    Google Scholar 

  • Finelli FC, et al. A case control study for major trauma in geriatric patients. J Trauma. 1989;29(5):541. ISSN 0022-5282.

    Google Scholar 

  • Foreman BP, et al. Usefulness of the abbreviated injury score and the injury severity score in comparison to the Glasgow Coma Scale in predicting outcome after traumatic brain injury. J Trauma. 2007;62(4):946. ISSN 0022-5282.

    Google Scholar 

  • Formiga F, Chivite D, Manito N, et al. Admission characteristics predicting longer length of stay among elderly patients hospitalized for decompensated heart failure [J]. Eur J Int Med. 2008;19(3):198–202. ISSN 0953-6205. Available at: http://www.sciencedirect.com/science/article/pii/S095362050700266X.

    Google Scholar 

  • Horst HM, et al. Factors influencing survival of elderly trauma patients. Crit Care Med. 1986;14(8):681. ISSN 0090-3493.

    Google Scholar 

  • Iezzoni LI, et al. Identifying complications of care using administrative data. Med Care 1994;32(7):700–151994. ISSN 0025-7079 (Print) 0025-7079 (Linking). Available at: http://www.ncbi.nlm.nih.gov/pubmed/8028405.

  • Isabel TD, Correia M. The impact of malnutrition on morbidity, mortality, length of hospital stay and costs evaluated through a multivariate model analysis. Clin Nutr. 2003;22(3):235–9. ISSN 02615614.

    Google Scholar 

  • Jakubaschk J, Waldvogel D, Würmle O. Differences between long-stay and short-stay inpatients and estimation of length of stay. Soc Psychiatr Psychiatr Epidemiol. 1993;28(2):84–90. ISSN 0933-7954.

    Google Scholar 

  • Kastrup M. Prediction and profile of the long – stay population. Acta Psychiatrica Scandinavica. 1987;76(1):71–9. ISSN 1600-0447.

    Google Scholar 

  • Kim YJ. The impact of time from ED arrival to surgery on mortality and hospital length of stay in patients with traumatic brain injury. J Emer Nurs. 2011;37(4):328–33. ISSN 00991767.

    Google Scholar 

  • Knudson MM, et al. Mortality factors in geriatric blunt trauma patients. Arch Surg. 1994;129(4):448.

    Article  CAS  PubMed  Google Scholar 

  • Mahoney LE, Reutershan TP. Catastrophic disasters and the design of disaster medical care systems. Ann Emerg Med. 1987;16(9):1085–91. ISSN 0196-0644.

    Google Scholar 

  • Moroy P, et al. Factors influencing the postpartum length of hospital stay in eclamptic women. Taiwanese J Obst Gynecol. 2007;46(4):410–3. ISSN 10284559.

    Google Scholar 

  • Mulvey J, et al. Profile of injuries arising from the 2005 Kashmir earthquake: the first 72 h. Injury. 2008;39(5):554–60. ISSN 0020-1383.

    Article  CAS  PubMed  Google Scholar 

  • Osler T, Baker SP, Long W. A modification of the injury severity score that both improves accuracy and simplifies scoring. J Trauma. 1997;43(6):922. ISSN 0022-5282.

    Google Scholar 

  • Palmer CS, Niggemeyer LE, Charman D. Double coding and mapping using Abbreviated Injury Scale 1998 and 2005: Identifying issues for trauma data. Injury. 2010;41(9):948–54. ISSN 0020-1383.

    Article  PubMed  Google Scholar 

  • Peek-Asa C, et al. Fatal and hospitalized injuries resulting from the 1994 Northridge earthquake. Int J Epidemiol. 1998;27(3):459. ISSN 0300-5771.

    Article  CAS  PubMed  Google Scholar 

  • Perdue PW, et al. Differences in mortality between elderly and younger adult trauma patients: geriatric status increases risk of delayed death. J Trauma. 1998;45(4):805. ISSN 0022-5282.

    Google Scholar 

  • Pickering S, Esberger D, Moran C. The outcome following major trauma in the elderly. Predictors of survival. Injury. 1999;30(10):703–6. ISSN 0020-1383.

    Google Scholar 

  • Pudelek B. Geriatric trauma: special needs for a special population. AACN Adv Crit Care. 2002;13(1):61. ISSN 1559-7768.

    Google Scholar 

  • Reitherman R. How to prepare a hospital for an earthquake. J Emerg Med. 1986;4(2):119–31. ISSN 0736-4679.

    Google Scholar 

  • Richmond TS, et al. Characteristics and outcomes of serious traumatic injury in older adults. J Am Geriatr Soc. 2002;50(2):215–22. ISSN 1532-5415.

    Google Scholar 

  • Rowan M, et al. The use of artificial neural networks to stratify the length of stay of cardiac patients based on preoperative and initial postoperative factors. Artif Intell Med. 2007;40(3):211–21. ISSN 09333657.

    Google Scholar 

  • Sclar DA, et al. Hospital length of stay for children and adolescents diagnosed with depression: is primary payer an influencing factor? Gen Hosp Psychiatr. 2008;30(1):73–6. ISSN 01638343.

    Google Scholar 

  • Tamim H, et al. The injury severity score or the new injury severity score for predicting mortality, intensive care unit admission and length of hospital stay: experience from a university hospital in a developing country. Injury. 2008;39(1):115–20. ISSN 00201383.

    Google Scholar 

  • Tanaka H, et al. Overview of evacuation and transport of patients following the 1995 Hanshin-Awaji earthquake 1 2. J Emerg Med. 1998;16(3):439–44. ISSN 0736-4679.

    Article  CAS  PubMed  Google Scholar 

  • Tanaka H, et al. Morbidity and mortality of hospitalized patients after the 1995 Hanshin-Awaji earthquake. Am J Emerg Med. 1999;17(2):186–91. ISSN 0735-6757.

    Article  CAS  PubMed  Google Scholar 

  • Tepas III JJ, et al. Elderly injury: a profile of trauma experience in the Sunshine (Retirement) State. J Trauma. 2000;48(4):581. ISSN 0022-5282.

    Google Scholar 

  • Tie-Min L. The significance of emergency preparedness highlighted by Yushu earthquake once again [J]. J Saf Sci Technol. 2010;2:003.

    Google Scholar 

  • Wancata J, Benda N, Windhaber J, et al. Does psychiatric comorbidity increase the length of stay in general hospitals? [J]. Gen Hosp Psychiatr. 2001;23(1):8–14.

    Google Scholar 

  • Wilson NC, Stott NS. Paediatric femoral fractures: Factors influencing length of stay and readmission rate. Injury. 2007;38(8):931–6. ISSN 0020-1383. Available at: http://www.sciencedirect.com/science/article/pii/S0020138307001246.

    Google Scholar 

  • Wright S, et al. Factors influencing the length of hospital stay of patients with heart failure. Eur J Heart Fail. 2003;5(2):201–9. ISSN 1388-9842.

    Google Scholar 

  • Yang C-S, et al. Predicting the length of hospital stay of burn patients: Comparisons of prediction accuracy among different clinical stages. Decision Suppt Syst. 2010;50(1):325–35. ISSN 0167-9236. Available at: http://www.sciencedirect.com/science/article/pii/S0167923610001703.

    Google Scholar 

  • Zhang L, et al. The injury profile after the 2008 earthquakes in China. Injury. 2009;40(1):84–6. ISSN 0020-1383.

    Article  CAS  PubMed  Google Scholar 

  • Zhang L, Fu P, Wang L, et al. The clinical features and outcome of crush patients with acute kidney injury after the Wenchuan earthquake: differences between elderly and younger adults [J]. Injury. 2012;43(9):1470–75. ISSN 0020-1383. Available at: http://www.sciencedirect.com/science/article/pii/S0020138310007734.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Lulu Zhang PhD .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2016 Springer Science+Business Media Dordrecht

About this chapter

Cite this chapter

Kang, P., Zhang, L. (2016). Logistic Regression Modeling for the Length of Stay Among the Hospitalized Patients After the 2010 Yushu Earthquake. In: Zhang, L. (eds) Modeling the Injury Flow and Treatment after Major Earthquakes. Springer, Dordrecht. https://doi.org/10.1007/978-94-017-7527-4_3

Download citation

  • DOI: https://doi.org/10.1007/978-94-017-7527-4_3

  • Published:

  • Publisher Name: Springer, Dordrecht

  • Print ISBN: 978-94-017-7525-0

  • Online ISBN: 978-94-017-7527-4

  • eBook Packages: MedicineMedicine (R0)

Publish with us

Policies and ethics