Literature DB >> 6217792

Unexpected hospital admissions among patients with diabetes mellitus.

D M Smith, J A Norton, S D Roberts, W A Maxey, C J McDonald.   

Abstract

In a search for a new way to recognize the patients who are at higher risk of unexpected hospitalizations, the characteristics of patients with diabetes mellitus were examined after their last office visit prior to hospitalization. Six characteristics contributed significantly in distinguishing 256 patients who were subsequently hospitalized from 512 patients who were not. The six characteristics included the following: frequent emergency room visits, low serum albumin level, cardiomegaly, anemia, hypotension, and hyperglycemia. The sensitivity of prediction was 43.2%, specificity was 77.4%, and the relative risk by odds ratio was 2.60:1. The intensity of care, as estimated by the level of the provider, and the intended intensity of care, as measured by the scheduled return-visit interval, were not clinically consistent with the magnitude of risk. The characteristics of patients at higher risk of unexpected hospitalizations were identified and provide a direction for increased intensity of ambulatory care.

Entities:  

Mesh:

Substances:

Year:  1983        PMID: 6217792

Source DB:  PubMed          Journal:  Arch Intern Med        ISSN: 0003-9926


  4 in total

1.  Prediction of complicated urinary tract infections in patients with type 2 diabetes: a questionnaire study in primary care.

Authors:  Leonie M A J Venmans; Marian Sloof; Eelko Hak; Kees J Gorter; Guy E H M Rutten
Journal:  Eur J Epidemiol       Date:  2007-01-03       Impact factor: 8.082

2.  A controlled trial to increase office visits and reduce hospitalizations of diabetic patients.

Authors:  D M Smith; M Weinberger; B P Katz
Journal:  J Gen Intern Med       Date:  1987 Jul-Aug       Impact factor: 5.128

3.  Predicting nonelective hospitalization: a model based on risk factors associated with diabetes mellitus.

Authors:  D M Smith; M Weinberger; B P Katz
Journal:  J Gen Intern Med       Date:  1987 May-Jun       Impact factor: 5.128

4.  Factors predicting readmission of older general medicine patients.

Authors:  R Burns; L O Nichols
Journal:  J Gen Intern Med       Date:  1991 Sep-Oct       Impact factor: 5.128

  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.