Authors' Affiliations

Francis Onakpoma, Department of Biostatistics and Epidemiology, College of Public Health, East Tennessee State University, Johnson City, TN 37614. Francis Okeke, Department of Biostatistics and Epidemiology, College of Public Health, East Tennessee State University, Johnson City, TN 37614. Mamudu Saudikatu, Department of Environmental Health, College of Public Health, East Tennessee State University, Johnson City, TN 37614. Charles Olomofe, Department of Biostatistics and Epidemiology, College of Public Health, East Tennessee State University, Johnson City, TN 37614. Hadii Mamudu, Department of Health Services Management and Policy, College of Public Health, East Tennessee State University, Johnson City, TN 37614. Ghait Husari, Computer Science Department, College of Business and Technology, East Tennessee State University, Johnson City, TN 37614. Florence Weierbach, College of Nursing, East Tennessee State University, Johnson City, TN 37614. Olamide Asifat, Department of Biostatistics and Epidemiology, College of Public Health, East Tennessee State University, Johnson City, TN 37614. Timir Paul, University of Tennessee Health Sciences Center-Nashville, TN. Manik Ahuja, Department of Health Services Management and Policy, College of Public Health, East Tennessee State University, Johnson City, TN 37614.

Location

Culp Center Ballroom

Start Date

4-25-2023 9:00 AM

End Date

4-25-2023 11:00 AM

Poster Number

49

Faculty Sponsor’s Department

Health Services Management & Policy

Name of Project's Faculty Sponsor

Hadii Mamudu

Classification of First Author

Graduate Student-Master’s

Competition Type

Competitive

Type

Poster Presentation

Project's Category

Health Services Delivery

Abstract or Artist's Statement

Valvular disease affects the heart's valves and can lead to complications if left untreated. In 2017, about 2.7% (U. S) of the population had a valvular disease. The Centers for Disease Control and Prevention (CDC) also estimated that about 2500 Americans die yearly due to valvular disease. Several factors, such as the type of valvular disease, can affect the outcome of this disease. However, the hospital type, insurance status, and location of the patients may determine the quality of care and valvular disease outcome. Teaching hospitals are often in urban regions and house various well-grounded specialists as well as tools and equipment that may be a significant contributory factor to the outcome of Valvular heart disease. This study aims at determining the importance of quality of healthcare access in the outcome of valvular disease. At the bivariate analysis level, it was hypothesized that the type of hospital, location of patients, and age at diagnosis are significantly related to the outcome of valvular disease. At the multivariate level, it was hypothesized that after controlling for every other variable, the predictor variables were significantly related to the outcome of valvular disease. Data analysis was conducted on cross-2012 sectional National Inpatient Survey (NIS) data. The Core, severity, and hospital data were used for this analysis. Descriptive statistics and bivariate and multivariate logistic regressions were conducted to assess the association between the outcome of valvular disease and the type of hospital (teaching or non-teaching), patient location, age at diagnosis, insurance, income, and sex. All analysis was performed using the Statistical Analysis System (SAS). The results of the descriptive study showed about 2.9% of patients had comorbidity from valvular disease. Patients attending teaching hospitals had a 0.3% comorbidity present (P =.001). At the multivariate analysis level, patients at the teaching hospital were less likely to have comorbidity compared to individuals at non-teaching (AOR = 0.735; CI = 0.549, 0.970, P = 0.0303). Patients with public or no insurance were less likely to have a comorbidity of valvular disease as compared to patients with private insurance (AOR =0.596, AOR =0.288; CI = 0.393, 0.904 CI= 0.120, 0.692 P= 0.0149 P= 0.0054 respectively). Also, males were less likely to have valvular heart disease comorbidity as compared to females. All other variables not mentioned were not significant in the multivariate analysis. Accreditation programs can ensure that non-teaching hospitals have the necessary resources, equipment, and personnel to manage the valvular disease. Furthermore, providing incentives, such as financial support or performance-based incentives, can encourage non-teaching hospitals to invest in the necessary resources and personnel to manage valvular heart disease. We also recommend awareness campaigns and screening programs for patients in rural regions.

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Apr 25th, 9:00 AM Apr 25th, 11:00 AM

Factors That Determine The Outcome of Valvular Disease Among Patients, Based On The Type Of Hospital, Location Of Patient, And Type Of Insurance.

Culp Center Ballroom

Valvular disease affects the heart's valves and can lead to complications if left untreated. In 2017, about 2.7% (U. S) of the population had a valvular disease. The Centers for Disease Control and Prevention (CDC) also estimated that about 2500 Americans die yearly due to valvular disease. Several factors, such as the type of valvular disease, can affect the outcome of this disease. However, the hospital type, insurance status, and location of the patients may determine the quality of care and valvular disease outcome. Teaching hospitals are often in urban regions and house various well-grounded specialists as well as tools and equipment that may be a significant contributory factor to the outcome of Valvular heart disease. This study aims at determining the importance of quality of healthcare access in the outcome of valvular disease. At the bivariate analysis level, it was hypothesized that the type of hospital, location of patients, and age at diagnosis are significantly related to the outcome of valvular disease. At the multivariate level, it was hypothesized that after controlling for every other variable, the predictor variables were significantly related to the outcome of valvular disease. Data analysis was conducted on cross-2012 sectional National Inpatient Survey (NIS) data. The Core, severity, and hospital data were used for this analysis. Descriptive statistics and bivariate and multivariate logistic regressions were conducted to assess the association between the outcome of valvular disease and the type of hospital (teaching or non-teaching), patient location, age at diagnosis, insurance, income, and sex. All analysis was performed using the Statistical Analysis System (SAS). The results of the descriptive study showed about 2.9% of patients had comorbidity from valvular disease. Patients attending teaching hospitals had a 0.3% comorbidity present (P =.001). At the multivariate analysis level, patients at the teaching hospital were less likely to have comorbidity compared to individuals at non-teaching (AOR = 0.735; CI = 0.549, 0.970, P = 0.0303). Patients with public or no insurance were less likely to have a comorbidity of valvular disease as compared to patients with private insurance (AOR =0.596, AOR =0.288; CI = 0.393, 0.904 CI= 0.120, 0.692 P= 0.0149 P= 0.0054 respectively). Also, males were less likely to have valvular heart disease comorbidity as compared to females. All other variables not mentioned were not significant in the multivariate analysis. Accreditation programs can ensure that non-teaching hospitals have the necessary resources, equipment, and personnel to manage the valvular disease. Furthermore, providing incentives, such as financial support or performance-based incentives, can encourage non-teaching hospitals to invest in the necessary resources and personnel to manage valvular heart disease. We also recommend awareness campaigns and screening programs for patients in rural regions.