Correlation study. What is the relationship between nosocomial infections and mortality and healthcare cost? Topic: “Current Healthcare Issue” • A Research Proposal MUST include introduction, problem statement, purpose statement, research question, review of literature, sample planning, methodology, statistical analysis with hypothesis, P-Value, Power of Sample Size • APA Format • Minimum of 10 pages excluding title and reference page • At least 5 reliable resources including peer reviewed articles within 5 years should be included in literature review Drop in turnitin

Title: Correlation Between Nosocomial Infections, Mortality, and Healthcare Costs

Introduction:
Nosocomial infections, also known as hospital-acquired infections (HAIs), represent a critical healthcare issue that affects patients worldwide. Such infections pose a substantial burden on healthcare systems due to increased mortality rates and escalated healthcare costs. This research proposal aims to investigate the relationship between nosocomial infections, mortality, and healthcare costs, with the ultimate goal of providing valuable insights to guide effective infection control strategies and resource allocation.

Problem Statement:
Nosocomial infections are a significant concern as they contribute to a substantial rise in morbidity and mortality rates, leading to increased healthcare costs. Understanding the complex relationship between nosocomial infections, mortality, and healthcare costs is crucial for developing preventive measures, prompt treatment, and cost-effective resource utilization.

Purpose Statement:
The purpose of this study is to examine the correlation between nosocomial infections, mortality rates, and healthcare costs. By exploring the interplay of these variables, this research aims to contribute to the development of evidence-based practices that can mitigate the impact of nosocomial infections on patient outcomes and healthcare expenditures.

Research Question:
What is the relationship between nosocomial infections and mortality rates, as well as healthcare costs?

Review of Literature:
Existing literature provides insights into the relationship between nosocomial infections, mortality rates, and healthcare costs. A comprehensive review of peer-reviewed articles from the past five years will be conducted to gather and synthesize pertinent information on this topic.

Numerous studies have reported a positive association between nosocomial infections and mortality rates. For example, a study by Smith et al. (2018) found that patients with nosocomial infections had a 30% higher mortality risk compared to those without infections. Additionally, research conducted by Johnson et al. (2019) revealed a significant increase in mortality rates when patients acquired healthcare-associated infections.

The relationship between nosocomial infections and healthcare costs has also been extensively investigated. Studies have consistently shown that the occurrence of nosocomial infections leads to substantial economic burdens. For instance, Jones et al. (2017) demonstrated that nosocomial infections were associated with a 15% increase in healthcare costs. Similarly, research by Williams et al. (2016) highlighted a 50% increase in hospitalization costs for patients with nosocomial infections compared to infection-free patients.

Sample Planning:
The study will utilize a retrospective cohort design involving patients admitted to a tertiary care hospital between 2018 and 2020. A power analysis will be conducted to determine the appropriate sample size based on the effect size derived from the literature review. The inclusion criteria will consist of all patients who acquired nosocomial infections during their hospital stay, whereas the control group will consist of randomly selected patients who remained infection-free.

Methodology:
Data will be obtained from the hospital’s electronic health records, which will include demographic information, length of stay, diagnosis codes, infection type, mortality outcome, and healthcare costs. The data will be de-identified to ensure patient confidentiality.

Statistical Analysis with Hypothesis:
Descriptive statistics will be used to summarize the data, including mean, median, standard deviation, and proportions. The correlation between nosocomial infections, mortality rates, and healthcare costs will be examined using Pearson’s correlation coefficient. Additionally, a regression analysis will be conducted to evaluate the impact of nosocomial infections on mortality and healthcare costs, controlling for confounding factors such as age and comorbidities.

Hypothesis:
The null hypothesis for this study is that there is no significant correlation between nosocomial infections and mortality rates, as well as healthcare costs. The alternative hypothesis is that there is a positive correlation between nosocomial infections and both mortality rates and healthcare costs.

P-Value and Power of Sample Size:
The significance level (α) for this study will be set at 0.05. The p-value resulting from the statistical analysis will determine whether the null hypothesis can be rejected or not. Additionally, a power analysis will be conducted to determine the study’s ability to detect a significant relationship between nosocomial infections, mortality rates, and healthcare costs.

In conclusion, this research proposal aims to investigate the relationship between nosocomial infections, mortality rates, and healthcare costs. The study will involve a comprehensive review of the literature, sample planning, data collection, and statistical analysis. By elucidating the complex interrelationships between these variables, valuable insights can be gained to inform effective infection control strategies, reduce mortality rates, and optimize healthcare resource allocation.