Abstract:

Mississippi (MS) State Inpatient Data Abstract ________________________________________ The Mississippi State Inpatient Data refers to data collected from Inpatient services across healthcare facilities in Mississippi. This dataset is crucial for understanding healthcare trends, patient utilization patterns, and service outcomes for Inpatient care in the state. a) Data Source Key Sources of Data: 1. Mississippi State Health Department: The primary agency responsible for the collection and dissemination of healthcare data, including Inpatient visits. 2. Healthcare Providers: Data is contributed by Inpatient clinics, hospitals, and other healthcare service providers in the state. Types of Data Collected: • Patient Demographics: Age, gender, race, geographic location, insurance status. • Visit Information: Date of visit, healthcare facility, specialty, visit type (e.g., routine check-up, emergency follow-up). • Diagnosis and Procedure Codes: ICD-10 codes for diagnoses, CPT codes for procedures. • Outcome Data: Follow-up visits, treatment outcomes, readmission rates, etc. ________________________________________ b) Data Analysis The data analysis of Mississippi State Inpatient Data will follow a structured approach to identify trends, health disparities, and service utilization patterns. The analysis will focus on the following steps: 1. Descriptive Statistics: • Summary Statistics: Calculate mean, median, mode, and standard deviation for continuous variables (e.g., age, charges, number of visits). • Frequency Analysis: Count the number of Inpatient visits by year, region, age group, gender, and other demographics. 2. Geospatial Analysis: Map Inpatient visits by geographic location to identify healthcare access disparities across counties. 3. Health Outcome Analysis: • Health Disparities: Examine disparities in Inpatient service use based on race, socioeconomic status, and geographic location. • Utilization and Access: Identify barriers to accessing Inpatient services, such as healthcare deserts or insurance-related issues. 4. Reporting and Visualization: • Graphical Displays: Use bar charts, histograms, pie charts, and line graphs to present findings on visit distributions, diagnoses, and procedure types. • Statistical Significance: Provide p-values, confidence intervals, and effect sizes to support conclusions.