NURS FPX 6414 Assessment 2 Proposal to Administration NURS-FPX 6414 Advancing Health Care Through Data Mining Prof. Name

Date

Proposal to Administration

Title: Type 2 Diabetes Self-Management in Healthcare Organizations

Introduction

Type 2 Diabetes (T2D) self-management involves a multifaceted approach encompassing healthcare professionals, nurses, and stakeholders working collaboratively to manage and control the condition (Winkley et al., 2020). With a significant number of individuals in the United States diagnosed with type 2 diabetes, it is imperative that patients acquire the necessary knowledge and skills to monitor their health effectively. This presentation delves into various facets of diabetes self-management systems within healthcare organizations, including blood sugar monitoring, adherence to balanced meal plans, and implementation of regular exercise regimens (Agarwal et al., 2019). The study aims to elucidate the rationale behind and the methods employed in monitoring type 2 diabetes outcomes to enhance patient care.

Rationale for Measuring Specific Quality Outcomes

Given that over 500 million individuals in the United States grapple with type 2 diabetes, measuring specific outcomes is paramount in facilitating patient education on self-management through diabetes self-management education (Adam, 2018). For instance, Diabetes Self-Management Education and Support (DSMES) programs provide patients with educational resources and support to manage their condition effectively. The objectives of these educational initiatives are to empower community members with increased self-awareness and foster positive self-management behaviors.

NURS FPX 6414 Assessment 2 Proposal to Administration

Additionally, the Chronic Disease Management System (CDMS) plays a pivotal role in assisting individuals in maintaining lower blood glucose levels, thereby mitigating complications. These measures not only enhance the quality of life for patients but also contribute to cost reduction in healthcare settings (Agarwal et al., 2019). Furthermore, outcome measures serve as essential benchmarks for establishing a patient’s baseline.

Benchmarks Associated with Specific Outcomes

Benchmarks pertaining to type 2 diabetes, as defined by the American Diabetes Association, suggest that the majority of individuals in the United States with the condition should aim for an acceptance rate of less than 7% (van Smoorenburg et al., 2019). Additionally, a significant emphasis is placed on achieving a weight reduction of up to 15% through the efficacy of medications (Apovian et al., 2018). Furthermore, the patient mortality rate, currently at 5%, remains relatively high, primarily due to suboptimal hospital care quality.

Evaluation of Data Measures and Trends

Several data measures and trends must be considered when evaluating this particular line of service. Notable data measures, supported by available evidence, include:

1. Early patient mortality rates.
2. Reduced life expectancy of patients.
3. A type 2 diabetes readmission rate of approximately 25% in the United States.
4. A direct correlation between lower education levels and increased disease prevalence.
5. A lower likelihood of diagnosis among highly educated individuals (Wu, 2019).
6. Elevated risk of type 2 diabetes among Hispanic and black Americans compared to other ethnic groups.

Interpretation of Data in Relation to Benchmarks

The incidence rate of type 2 diabetes has steadily risen in numerous Western countries over the past four decades, with little reduction in the current decade (Winkley et al., 2020). Recent years have witnessed a decline in the incidence rate among middle-aged and baby boomer populations, suggesting an increased risk of the disease among younger individuals over the past decade. Additionally, specific blood sugar level thresholds, such as values exceeding 140 mg/dL, are indicative of abnormal or elevated readings. Levels exceeding 200 mg/dL signify a higher likelihood of diabetes, underscoring the significance of type 2 diabetes self-management programs in reducing readmission rates.