Literature DB >> 6841857

The outcome of hospitalization for acute illness in the elderly.

C T Lamont, S Sampson, R Matthias, R Kane.   

Abstract

The use of acute-care hospitals by the elderly is rising rapidly, particularly in the age group 75 and older. Any changes that will reduce the length of stay could result in considerable savings in health care costs. It is imperative to look at present policies and explore possible changes that could reduce costs by reducing the total hospital days. A study was conducted in a 290-bed county-founded community hospital in California that serves the majority of disadvantaged and poor elderly residing in an area with a population of approximately 300,000 persons. The objective was to determine what demographic, medical, and sociologic characteristics of elderly patients recorded at admission would be of value in predicting those most likely to change their functional status. It was found that the most important predictors of deterioration of function are (1) older age, especially 85+, and (2) abnormal mental status. Patients admitted from nursing homes had a longer than average length of stay, and those who survived (80 per cent) returned to a nursing home. It was concluded that routine assessment of elderly patients admitted for acute illness or injury could facilitate discharge planning by an early prediction of the level of care that will be required after discharge. This assessment should include preadmission mental and functional status; identification of causes for, and correction of, acute confusional states; and an assessment of the impact of the present illness or injury on future level of function following rehabilitation. This could result in a reduced length of average hospital stay.

Entities:  

Mesh:

Year:  1983        PMID: 6841857     DOI: 10.1111/j.1532-5415.1983.tb04872.x

Source DB:  PubMed          Journal:  J Am Geriatr Soc        ISSN: 0002-8614            Impact factor:   5.562


  24 in total

1.  Preventable inpatient time: adequacy of electronic patient information systems.

Authors:  D L Katz; R Mazhari; R Kalus; H Nawaz
Journal:  Am J Public Health       Date:  1999-12       Impact factor: 9.308

2.  Problems of older adults living alone after hospitalization.

Authors:  J E Mahoney; J Eisner; T Havighurst; S Gray; M Palta
Journal:  J Gen Intern Med       Date:  2000-09       Impact factor: 5.128

Review 3.  Laparoscopic versus open colorectal resection in the elderly population.

Authors:  Katherine Grailey; Sheraz R Markar; Alan Karthikesalingam; Rima Aboud; Paul Ziprin; Omar Faiz
Journal:  Surg Endosc       Date:  2012-06-30       Impact factor: 4.584

Review 4.  Delirium in hospitalized elderly.

Authors:  J Francis; W N Kapoor
Journal:  J Gen Intern Med       Date:  1990 Jan-Feb       Impact factor: 5.128

5.  [Not Available].

Authors:  R Hébert
Journal:  Can Fam Physician       Date:  1984-11       Impact factor: 3.275

6.  Social future of elderly admitted to acute care hospital: opinion of patient or family as predictive factor of subsequent transfer to long term care.

Authors:  F Roudot-Thoraval; M Boubert; V Fourestie; J L Lejonc
Journal:  Br Med J (Clin Res Ed)       Date:  1987-03-07

7.  Laparoscopic resection of rectal cancer in the elderly.

Authors:  L August Clark; Walter R Peters
Journal:  Proc (Bayl Univ Med Cent)       Date:  2016-10

Review 8.  Physical Activity and Early Rehabilitation in Hospitalized Elderly Medical Patients: Systematic Review of Randomized Clinical Trials.

Authors:  N Martínez-Velilla; E L Cadore; Á Casas-Herrero; F Idoate-Saralegui; M Izquierdo
Journal:  J Nutr Health Aging       Date:  2016       Impact factor: 4.075

9.  Discharge destination from an acute care for the elderly (ACE) unit.

Authors:  Luis F Amador; Carlos A Reyes-Ortiz; Diana Reed; Cheryl Lehman
Journal:  Clin Interv Aging       Date:  2007       Impact factor: 4.458

10.  Predictors of in-hospital mortality among older patients.

Authors:  Thiago J A Silva; Cláudia Szlejf Jerussalmy; José M Farfel; José A E Curiati; Wilson Jacob-Filho
Journal:  Clinics (Sao Paulo)       Date:  2009       Impact factor: 2.365

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