Score to predict the number of hospitalization days in a general ward at atertiary hospital

Authors

  • Gerardo A Belletti Hospital Italiano - Córdoba
  • Julio Enders Hospital Italiano - córdoba
  • Gustavo Serra Hospital Italiano - Córdoba
  • Marcelo A Yorio Hospital Italiano - Córdoba

Keywords:

score, hospitalization days, medical auditory

Abstract

Although most usual admissions to hospital are in rooms in general wards, there are not scores to predict the number of hospitalization days in this area. The patients are located based on diagnosis at admission. Aim: to make scores who predict the number of hospitalization days in the general wards. Methods: We studied all the patients who were admitted to the Italiano Hospital from march of 2004 to may of 2005 in Cordoba city ( Argentina). The inclusion criteria were: more than 18 years old patients who were admitted for more than 24 hours due to clinical or surgical conditions in general wards. We evaluated 53 variables including background, toxics ,physiologic and demographic data, social reports, nutritional condition, out patients previous consultations at the admission day. Died patients were not included in this score analysis. Results: The number of patients included was 1003. Short hospitalization was considered when the number of the days of the hospitalization was less than 4 days and long hospitalization was more than 5 day in a general ward. We made a score with 11 main variables according to physician clinical perception. The statistical analysis was not significant in each variable studied. When we analyzed the score with 11 of them as a whole, it showed statistical significance. We divided in categories and pointing according to statistic settlements. Minimum pointing: 11; maximum: 33. Showed R2: O,77 ( p: 0,06 ) between pointing and the hospitalization days. Conclusion: The lower scores were related with a high chance of discharge before 5 days. This score may be a simple and feasible tool for the hospital administration and for the prediction of available beds in a general wards.

 

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References

Higgins TL: Indices de gravedad de enfermedad y predicción de los resultados desarrollo y evolución. Cap 194. Shoemaker NC, Ayres SM, Grenvik A, Holbrook PR (Eds) Tratado de Medicina Crítica y Terapia Intensiva. Edit Panamericana. Buenos Aires 4° ed 2002. pp 2044-2057.

Higgins TL, McGee WT, Circeo LE, Teres D: Total Quality Management in the Intensive Care Unit Cap 213. Irwin RS, Rippes JM (Eds) Intensive Care Medicine. Edit Lippincott Williams & Wilkins. Philadelphia- USA. 5° ed 2003. pp 2232-2242.

Rezzónico RA: Indicadores para la evaluación de la atención médica y para el diagnóstico de salud de la población. Cap 7,. Aranguren EC, Rezzónico RA (Eds)Auditoría Médica. Garantía de calidad en la atención de la salud .Edit Centro editor de la Fundación Favaloro. Buenos Aires 2° ed 1998.Tomol 1, pp 271-346.

Newhouse RP, Mills ME, Johantgen M, Pronovost, “Is there a relationship between service integration and differentiation and patient outcomes?”, Int J Integr Care. 2003. 10;( 3): 15-21. [PubMed Central-Open access]

Molnar S, Belletti GA, Yorio MA: “Internación Prolongada en un Servicio de Clínica Médica”Revista de la Facultad de Ciencias Médicas, 2005. Vol 62- Número 1, pp 8-14. [Abstract]

Dawson Saunders B, Trapo RG (Eds). 1999. Bioestadística Médica. 2°ed. Mexico. Edit El Manual Moderno, pp 64.

Shipton SL. Congestive heart failure readmission. Home Care Provid. 1997. 2(4):171-5. [Abstract]

Foss NB, Palm H, Krasheninnikoff M, Kehlet H, Gebuhr P. Impact of surgical complications on length of stay after hip fracture surgery. Injury. 2006. 18: 145-8. [Abstract]

Delamare N, Vidal Trecan G, Christoforov B. Week Long hospitalization in a Department of Internal Medicine: Patients and care patterns. Description and comparison with standard hospitalization. Ann Med Interne. 1997. 148(7): 491-5. [Abstract]

Linger E, Jornmark J, Hedner T, Jonsson B, Stop Hypertension 2 Group. Predictors for high costs of hospital care in elderly hypertensive patients. Blood Press. 2006. 15(4):245-50. [Abstract]

Dos Santos Junqueira JC, Cotrim Soares E, Rodrigues Correa Filho H, Fenalti Hoehr N, Oliveira Magro D, Ueno M. Nutritional risk factors for postoperative complications in Brazzillian elderly patients undergoing major efective surgery. Nutrition. 2003. 19(4):321-6.

Pichard C, Kyle UG, Morabia A, Perrier A, Vermeulen B, Unger P. Nutritional assessment: lean body mass depletion at hospital admission is associated with an increased length of stay. Am J Clin Nutr. 2004. 79(4):527-8. [Full Text]

Mandell GL, Bennet JE, Dolin R (Eds). Enfermedades Infecciosas. Principios y Práctica. 4° ed. Buenos Aires. Edit Panamericana. 1998.Tomo 1, pp 762-764.

Kazmierski R, Guzik P, Ambrosius W, Kozubski W. Leukocytosis in the first day of acute ischemic stroke as a prognostic factor of disease progresion. Wiad Lek. 2001. (3-4):143-51. [Abstract]
Ponce P, Vinhas J, Silva J, Vaz a, Oliveira C, Carvalho I, Paula A, Ramos A. Hospital prevalence of kidney failure. Consecuences and reflections for the planing of nephrology services. Acta Med Port. 1995. 8(2):87-90. [Abstract]

Halm EA, Switzer GE, Mittman BS, Walsh MB, Chang CC, Fine MJ. What factors influence physicians decisions to switch from intravenous to oral antibiotics for comunity acquired pneumonia? J Gen Intern Med. 2001. 16 (9): 642-3. [PubMed Central-pen Access]

Bergeron E, Lavoie A, Belcaid A, Ratte S, Clas D: Should patients with isolated hip fractures be included in trauma registries? J Trauma.; 2005. 793-7. [Abstract]

Symeonidis PD, Clark D. Assesment of malnutrition in hip fracture patients: effects on surgical delay, hospital stay and mortality. Acta Orthop Belg. 2006. 72 (4): 420-7. [Full Text]

Varelas PN, Eastwood D, Yun HJ, Spanaki MV, Hacein Bev L, Kessaris C, Gennarelli TA. Impact of a neurointensivist on outcomes in patients with head trauma treated in a neurosciences intensive care unit. J Neurosurg. 2006. 104 (5): 711-12. [Full Text]

Diringer MN, Edwards DF: Admission to a neurologic/neurosurgical intensive care unit is associated with reduced mortality rate after intracerebral hemorrage. Crit Care Med.; 2001. 635-40.[Abstract]

Siegel T, Mikaszewska Sokolewicz M, Mayzner Zawadzka E. Epidemiology of infections at the intensive care unit. Pol Merkur Lekarski. 2006. 20 (117): 309-14.

Storm K, Boe J: Quality assessment and predictors of survival in long term domiciliary oxygen therapy. The Swedish Society of Chest Medicine. Eur Respir J., 1991. (1):50-8. [Abstract

Rady MY, Johnson DJ, Patel B, Larson J, Helmers R. Corticosteroid influence the mortality and morbidity of acute critical illness. Crit Care. 2006. 10 (4):101-5. [PubMed Central-Open Access]

Sebastia E, Duarte E, Boza R, Samitier B, Tejero M, Marco E, Muniesa JM, Belmonte R, Escalada F. Cross validation of a model for predicting functional status and length of stay in patients with stroke. J Rehabil Med. 2006. 38(3):204-6

Published

2020-02-14

How to Cite

1.
Belletti GA, Enders J, Serra G, Yorio MA. Score to predict the number of hospitalization days in a general ward at atertiary hospital. Rev Fac Cien Med Univ Nac Cordoba [Internet]. 2020 Feb. 14 [cited 2024 May 17];65(1):8-15. Available from: https://revistas.unc.edu.ar/index.php/med/article/view/27685

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Original Papers