Evidence map›Paper›PMID 28735459›Full record

ArticleHealth care management science2018

Diabetes and the hospitalized patient : A cluster analytic framework for characterizing the role of sex, race and comorbidity from 2006 to 2011.

Nisha Nataraj, Julie Simmons Ivy, Fay Cobb Payton, Joseph Norman

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Article in Health care management science, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Nisha NatarajEdward P. Fitts Department of Industrial and Systems Engineering, North Carolina State University, Campus Box 7906, 400 Daniels Hall, Raleigh, NC, 27695, USA. nnatara@ncsu.edu.ORCID http://orcid.org/0000-0003-0547-7214
Julie Simmons IvyEdward P. Fitts Department of Industrial and Systems Engineering, North Carolina State University, Campus Box 7906, 400 Daniels Hall, Raleigh, NC, 27695, USA.
Fay Cobb PaytonPoole College of Management, North Carolina State University, Campus Box 7229, Nelson Hall, Releigh, NC, 27695, USA.
Joseph NormanDepartment of Internal Medicine, University of Michigan Medical Center, 1500 East Medical Center Drive, Ann Arbor, MI, 48109, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In the US, one in four adults has two or more chronic conditions; this population accounts for two thirds of healthcare spending. Comorbidity, the presence of multiple simultaneous health conditions in an individual, is increasing in prevalence and has been shown to impact patient outcomes negatively. Comorbidities associated with diabetes are correlated with increased incidence of preventable hospitalizations, longer lengths of stay (LOS), and higher costs. This study focuses on sex and race disparities in outcomes for hospitalized adult patients with and without diabetes. The objective is to characterize the impact of comorbidity burden, measured as the Charlson Weighted Index of Comorbidities (WIC), on outcomes including LOS, total charges, and disposition (specifically, probability of routine discharge home). Data from the National Inpatient Sample (2006-2011) were used to build a cluster-analytic framework which integrates cluster analysis with multivariate and logistic regression methods, for several goals: (i) to evaluate impact of these covariates on outcomes; (ii) to identify the most important comorbidities in the hospitalized population; and (iii) to create a simplified WIC score. Results showed that, although hospitalized women had better outcomes than men, the impact of diabetes was worse for women. Also, non-White patients had longer lengths of stay and higher total charges. Furthermore, the simplified WIC performed equivalently in the generalized linear models predicting standardized total charges and LOS, suggesting that this new score can sufficiently capture the important variability in the data. Our findings underscore the need to evaluate the differential impact of diabetes on physiology and treatment in women and in minorities.

Indexed as

ComorbidityAdultAgedAged, 80 and overCluster AnalysisDiabetes MellitusFemaleHospital ChargesHospitalizationHumansLength of StayLogistic ModelsMaleMiddle AgedOutcome Assessment, Health CarePatient DischargeCluster analysisComorbiditiesDiabetesGeneralized linear modelsPatient outcomes

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.