Using Data To Reduce Hospital Readmissions

Franklin, Patricia D.; Noetscher, Cheryl M.; Murphy, Mark; Lagoe, Ronald

doi:10.1097/00001786-199911000-00008

Cited by 12 publications

(12 citation statements)

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“…It would be clearly wrong to interpret that this difference is due to a worse quality of care in surgical specialties. The low validity of readmission rates in obstetrics has also been described by other authors (9).…”

Section: Discussionsupporting

confidence: 57%

“…This period is in agreement with what most authors have defined as the time frame for "early readmissions" (4;7). Proposed definitions of readmissions in general hospital services include emergency (9) and the coincidence of diagnosis in both episodes (8). However, our results show that the urgent nature of the readmission is not related to its potential avoidability.…”

Section: Discussionmentioning

confidence: 99%

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Readmission rate as an indicator of hospital performance: The case of Spain

Jiménez-Puente

García‐Alegría

Gómez-Aracena

et al. 2004

Int J Technol Assess Health Care

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Section: Discussionsupporting

confidence: 57%

Section: Discussionmentioning

confidence: 99%

Readmission rate as an indicator of hospital performance: The case of Spain

Jiménez-Puente

García‐Alegría

Gómez-Aracena

et al. 2004

Int J Technol Assess Health Care

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“…Both of these variables are common outcomes studied in the hospital-utilization literature (Franklin et al 1999). Number of hospitalizations is a measure of medical-care access when faced with a serious health problem.…”

Section: Prior Research On Obesity and Hospitalizationmentioning

confidence: 99%

Obesity and Hospitalization over the Adult Life Course: Does Duration of Exposure Increase Use?

Schafer¹,

Ferraro

2007

J Health Soc Behav

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Consistent with a new genre of research on life-course analyses of health-service use, this study explores the consequences of long-term exposure to a risk factor. Drawing from cumulativedisadvantage theory, the study examines whether obesity, especially chronic obesity, increases hospitalization admission and length of stay. Analyses make use of hospital records abstracted over 20 years from a national survey of adults 41 to 77 years of age at baseline (n = 4,574). Multiple measures of body weight are used to calculate adult obesity duration. Results reveal that obesity increased hospital admissions and length of stay over the 20 years studied. Among persons obese at any time during the study, years of obesity also led to longer stays. The findings highlight the utility of measures of the duration of risk exposure for both life-course studies of health and tests of cumulative-disadvantage theory.The prevalence of obesity in America has risen substantially in the past two decades, even though scores of studies during this time have illuminated the health risks of excess body weight (Kopelman 2000;Ogden et al. 2006). Given the rise in obesity prevalence and the costs associated with acute-care hospitalization, the relationship between obesity and hospitalization is a matter of substantial policy interest.The health problems linked to excess adiposity make medical treatment more complicated, and obesity can therefore be expected to yield more and longer hospital stays (Quesenberry, Caan, and Jacobson 1998). Perhaps less well-recognized, however, is the potential impact of lifelong obesity on health-care use in middle and later life. Overweight and obesity in early adulthood combines with the difficulty of sustained weight loss after becoming obese to portend a major demographic scenario of chronic obesity. How will years of living as an obese person influence the use of health-care services?Research findings to date on obesity and hospitalization are inconsistent. Some studies show that obesity increases hospital-resource consumption (e.g., Raebel et al. 2004), while others show no difference in hospital use between obese and nonobese persons (e.g., Bertakis and Azari 2005). The present research draws from cumulative-disadvantage theory to address these discrepancies and to examine how the timing and duration of obesity shape the course of an individual's hospitalization experience. Knowing that a person's body mass index (BMI) exceeds 30 may be a useful piece of information in predicting hospitalization, but is the duration

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“…In other words, readmission reflects relatively low quality [2] and also has negative social impacts [3-5]. Readmission is being considered as an indicator for evaluating the overall health care environment [6,7]. Australian Council on Healthcare Standards and National Health Service of the UK use readmission within 28 days after discharge as an indicator of the quality of health care [8,9].…”

Section: Introductionmentioning

confidence: 99%

Selecting the Best Prediction Model for Readmission

Lee

2012

J Prev Med Public Health

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ObjectivesThis study aims to determine the risk factors predicting rehospitalization by comparing three models and selecting the most successful model.MethodsIn order to predict the risk of rehospitalization within 28 days after discharge, 11 951 inpatients were recruited into this study between January and December 2009. Predictive models were constructed with three methods, logistic regression analysis, a decision tree, and a neural network, and the models were compared and evaluated in light of their misclassification rate, root asymptotic standard error, lift chart, and receiver operating characteristic curve.ResultsThe decision tree was selected as the final model. The risk of rehospitalization was higher when the length of stay (LOS) was less than 2 days, route of admission was through the out-patient department (OPD), medical department was in internal medicine, 10th revision of the International Classification of Diseases code was neoplasm, LOS was relatively shorter, and the frequency of OPD visit was greater.ConclusionsWhen a patient is to be discharged within 2 days, the appropriateness of discharge should be considered, with special concern of undiscovered complications and co-morbidities. In particular, if the patient is admitted through the OPD, any suspected disease should be appropriately examined and prompt outcomes of tests should be secured. Moreover, for patients of internal medicine practitioners, co-morbidity and complications caused by chronic illness should be given greater attention.

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Using Data To Reduce Hospital Readmissions

Cited by 12 publications

References 0 publications

Readmission rate as an indicator of hospital performance: The case of Spain

Readmission rate as an indicator of hospital performance: The case of Spain

Obesity and Hospitalization over the Adult Life Course: Does Duration of Exposure Increase Use?

Selecting the Best Prediction Model for Readmission

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