Analyses of NSAID induced GI bleed related hospitalization discharges from 2016 to 2018 in the United States
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Sweeney, Chancey.
Analyses of NSAID induced GI bleed related hospitalization discharges from 2016 to 2018 in the United States. Retrieved from
https://doi.org/doi:10.7282/t3-cfpj-j033Export
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TitleAnalyses of NSAID induced GI bleed related hospitalization discharges from 2016 to 2018 in the United States
Date Created2022
Other Date2022-01 (degree)
Extent1 online resource (xi, 90 pages) : illustrations
DescriptionBACKGROUND: Non-steroidal anti-inflammatory drugs (NSAIDs) are popularly used non-opioids for their anti-inflammatory, antipyretic, analgesic effects. Gastrointestinal (GI) bleeds induced by NSAIDs cause issues for patients in terms of high costs of medical services and poor quality of life. The objective of this study was to determine the predictors and their relations to length of hospital stay and total charges.
METHOD: The study data was downloaded and extracted from Nationwide Inpatient Sample (NIS). Patients with NSAID induced GI bleed were reviewed from the years 2016 to 2018. This data included patients' demographic characteristics and medical information such as age, gender, race, household income, and positive screening for NSAID induced GI bleed. The data also contained dependent variables such as risk factor types: alcohol, helicobacter pylori, and smoking. Statistical Package for the Social Sciences (SPSS) version 27 was utilized to analyze the NIS data of NSAID induced GI bleed. All outcomes with p values less than 0.05 were found to be significant. Chi-square test goodness-of-fit, binary logistic regression and multiple linear regression were the statistical tests administered to determine the predictors of study outcomes.
RESULTS: A descriptive analysis of this study showed the highest incidence of NSAID induced GI bleed patients as Non-Hispanic whites, older adults (45 years and older) with variation in household income. Risk factors studied include helicobacter pylori, alcohol, and smoking, in which the highest incidence was smoking (80.2%). Predictors for both length of hospital stay and total charges included risk factors and socio-demographic characteristics. The overall prediction of study outcomes showed associations between the independent and dependent variables such as age, race, and gender, in relation to length of hospital stay and total charges. There was a high influence detected in the interaction of predictors such as health and socio-demographic characteristics, like advanced age, gender, race and smoking in relation to NSAID induced GI bleeds.
CONCLUSION: This study found numerous significant results related to NSAID induced GI bleed such as age, race, gender, smoking, income level, length of hospital stay and total charges. The patients’ health information and demographics were important for comprehending the necessity of decreasing hospitalization costs and improving the quality of life for patients. Healthcare services and providers must aim to improve therapy plans to minimize occurrences of NSAID induced GI bleeds and decrease costs of medical therapy and hospital services provided to patients.
NotePh.D.
NoteIncludes bibliographical references
Genretheses
Languageen
CollectionSchool of Health Professions ETD Collection
Organization NameRutgers, The State University of New Jersey
RightsThe author owns the copyright to this work.
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