Literature DB >> 1627678

Readmissions to a geriatric medical unit: is prevention possible?

J F Kelly1, H McDowell, V Crawford, R W Stout.   

Abstract

Of the 622 patients admitted to a geriatric medical unit during the period November 1985 to October 1986, 211 (33.9%) had been discharged from hospital within the previous year. Of these, 117 (55.5%) had previously been admitted to the geriatric medical unit (18.8% of all admissions). The reasons for readmission were deterioration of existing disease (47.4%), new medical events (33.2%), poor management of previous discharge (9.5%), and social problems (5.7%). Age was not a significant factor influencing readmission. Readmission was judged preventable by better management of the previous admission and discharge in only 33 cases (15.6% of readmissions). A prospective study of the patients discharged in the same year revealed that 19.3% were readmitted in the following year, and of these readmissions 2.3% were considered to be preventable. There was no difference in medical causes for readmission in the two years. A significant number of the patients readmitted in both years studied was categorized as "high dependency". The figures suggest that although unplanned readmission is common, it is generally not preventable by better management of the previous admission, and often reflects a highly dependent and medically frail group of patients, in whom early intervention with readmission is appropriate.

Entities:  

Mesh:

Year:  1992        PMID: 1627678     DOI: 10.1007/bf03324067

Source DB:  PubMed          Journal:  Aging (Milano)        ISSN: 0394-9532


  5 in total

Review 1.  Proportion of hospital readmissions deemed avoidable: a systematic review.

Authors:  Carl van Walraven; Carol Bennett; Alison Jennings; Peter C Austin; Alan J Forster
Journal:  CMAJ       Date:  2011-03-28       Impact factor: 8.262

2.  A continuous-time Markov model for estimating readmission risk for hospital inpatients.

Authors:  Xu Zhang; Sean Barnes; Bruce Golden; Paul Smith
Journal:  J Appl Stat       Date:  2020-01-03       Impact factor: 1.416

3.  Forecasting Hospital Readmissions with Machine Learning.

Authors:  Panagiotis Michailidis; Athanasia Dimitriadou; Theophilos Papadimitriou; Periklis Gogas
Journal:  Healthcare (Basel)       Date:  2022-05-25

4.  Patient and disease profile of emergency medical readmissions to an Irish teaching hospital.

Authors:  E D Moloney; K Bennett; B Silke
Journal:  Postgrad Med J       Date:  2004-08       Impact factor: 2.401

5.  Differences between "geriatric" and "medical" patients aged 75 and over.

Authors:  M Todd; V Crawford; R W Stout
Journal:  Ulster Med J       Date:  1993-04
  5 in total

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