Thesis (Ph. D.)--George Washington University, 2009. / "A dissertation submitted to the faculty of the Columbian College of Arts and Sciences of the George Washington University in partial fulfillment of the requirements for the degree of Doctor of Philosophy." "August 31, 2009." "Dissertation directed by Kathryn Newcomber, Professor of Public Policy and Public Administration." Includes bibliographical references (p. 185-191).

Thesis (Ph. D.)--University of Pittsburgh, 1992. / Includes bibliographical references (leaves 383-411).

Thesis (M.S.)--University of Southern California, 1996. / eContent provider-neutral record in process. Description based on print version record. Includes bibliographical references.

Thesis (Ph. D.)--University of Wisconsin--Madison, 1970. / eContent provider-neutral record in process. Description based on print version record. Includes bibliographical references.

Thesis (Ed.D.)--University of Delaware, 2006. / Principal faculty advisor: Douglas A. Archbald, School of Education. Includes bibliographical references.

Thesis (Ph. D.)--Industrial and Systems Engineering, Georgia Institute of Technology, 2007. / Flowers, Christopher, Committee Member ; Jose, James, Committee Member ; Jacko, Julie, Committee Chair ; Sainfort, Francois, Committee Member ; Vidakovic, Brani, Committee Member.

Thesis (Ph.D.)--Ohio University, March, 2004. / Title from PDF t.p. Includes bibliographical references (p. 187-197)

Thesis (M.S. in Biomedical Informatics)--Vanderbilt University, Dec. 2007. / Title from title screen. Includes bibliographical references.

Thesis (M.A.)--Northern Kentucky University, 2006. / Made available through ProQuest. Publication number: AAT 1435674. ProQuest document ID: 1147189041. Includes bibliographical references (p. 56)

Background: The increasing use of electronic health records (EHR) provides a novel opportunity to evaluate hospital-based nutritional outcomes, such as malnutrition. There is no universally accepted screening tool for the detection of malnutrition. However, assessment for malnutrition should be made early, be simple, based on scientific evidence, and include data on age, gender, and disease severity. The malnutrition screening tool (MST) used in this study is a two question tool that assesses two parameters commonly seen when diagnosing malnutrition (weight loss and loss of appetite). Objective: The purpose of this study is to determine the ability of the MST used at a tertiary or quaternary hospital to accurately identify patients with malnutrition by comparing it against the Academy of Nutrition and Dietetics and American Society for Parenteral and Enteral Nutrition criteria for malnutrition. Participants/setting: A descriptive cohort study was conducted that included 167 patients admitted to Emory University Hospital between October 1 - 14, 2014. MST score, malnutrition diagnostic criteria, and demographic and anthropometric characteristics were obtained to describe and assess the study population. Statistical Analysis: Frequency statistics were used to describe the demographic and anthropometric characteristics and MST score results. Normality statistics were used to determine the distribution of continuous variables. A Chi Square table was used to determine the significance of the association between the MST score and diagnosis of malnutrition made by the Registered Dietitian (RD) as well as the sensitivity and specificity of the MST. Results: A total of 167 patients (48.5% male, 51.5% Caucasian, non-Hispanic) were admitted during the study period. The vast majority of the patient population with malnutrition (79%), as diagnosed by the RD, was identified as such by the MST (p < 0.01). The sensitivity and specificity of the MST was 79% and 62%, respectively. Conclusion: The MST is a useful screening tool for malnutrition in adults admitted to a large urban university hospital. There is a lack of research validating the MST in the adult outpatient population. Therefore, future studies are necessary to evaluate the effectiveness of the MST in this population.