Scholarly - Hypertension in Homeless

Introduction

This capstone endeavor sets out to explore hypertension's prevalence and risk elements among the homeless, steering its course with the Social Determinants of Health (SDOH) model. In doing so, it attempts to elucidate the interactions between various socio-economic aspects and their direct and indirect effects on the health of homeless people. The objective is to maximize understanding of the broader systemic and contextual factors that contribute to the prevalence of hypertension in this vulnerable population, thereby paving the way for the development of more targeted and effective intervention strategies in the future. This exploration is critical to inform public health approaches and policies aimed at reducing health disparities and improving well-being in homeless communities.

Methods/Design

1. Evaluative Criteria (Indicators or Variables)

· Prevalence of hypertension among the homeless population.

· Socio-demographic factors such as age, gender, and ethnicity.

· Behavioral factors including alcohol and tobacco use.

· Access to healthcare services and public assistance.

· Environmental and economic factors, such as sleeping conditions and employment status (Naser et al., 2020).

2. Research Approaches

A mixed-methods approach, integrating both quantitative and qualitative research, will be pivotal in exploring hypertension among the homeless comprehensively. Quantitative methods will explain the prevalence and demographic correlations of hypertension, providing tangible data (Asenahabi, 2019). In contrast, qualitative research will enrich our understanding by revealing the lived experiences, personal narratives, and systemic barriers that this vulnerable population encounters when accessing healthcare (Asenahabi, 2019). Together, these methods will provide a multifaceted perspective, grounding statistical findings in real-world contexts and individual experiences, thereby enhancing the depth and applicability of the research outcomes (Asenahabi, 2019).

· Quantitative: Surveys and health assessments will be used to gather data on the prevalence of hypertension and associated risk factors.

· Qualitative: Interviews and focus groups will explore personal experiences, barriers to accessing healthcare, and the effectiveness of public assistance programs (White et al., 2020).

Data Collection

· Quantitative Data: Standardized health assessments will be conducted by healthcare professionals to measure blood pressure and other health indicators. Surveys will be conducted by trained researchers to collect socio-demographic and behavioral data.

· Qualitative Data: the research team will conducted semi-structured interviews and focus groups, to delve into personal experiences and challenges faced by the homeless population in managing hypertension.

According to Asenahabi (2019), data collection is the linchpin in the operational framework of this study, necessitating a thorough and meticulous design of evaluative instruments such as surveys and interview guides. A critical step in enhancing the reliability of these instruments is to initiate a pilot phase, to ensure that each item is finely tuned to accurately and reliably measure the intended variables. Based on established research protocols, a stringent assessment of validity will be conducted to affirm that the instruments precisely encapsulate and measure the critical concepts under exploration, such as the prevalence and associated risk factors of hypertension (Naser et al., 2020). To fortify the methodological rigor and enhance the study's integrity, continuous assessments and recalibrations of these tools will be meticulously carried out, ensuring their enduring relevance, accuracy, and effectiveness in navigating the study’s evaluative criteria and overarching research objectives (Asenahabi, 2019).

Statistical Analysis

Statistical analyis, a cornerstone of this research, will be carefully conducted using specialized software, such as SPSS or R. According to Asenahabi (2019), utilizing descriptive statistics, such as means, standard deviations, and frequencies, is imperative for synthesizing and providing a clear overview of the collected data. Based on these foundational statistical insights, inferential methods, including chi-square tests and logistic regression, will be deployed to uncover and analyze the multifaceted associations between hypertension and various social determinants within the homeless population (Naser et al., 2020). This nuanced, methodological approach is fundamental for bolstering the reliability, validity, and overall rigor of the research findings and their subsequent contributions to evidence-based knowledge and practice.

· Quantitative Analysis:

· Prevalence rates will be calculated, and associations between hypertension and various factors will be analyzed using chi-square tests and logistic regression (Naser et al., 2020).

· Qualitative Analysis:

· Thematic analysis will be conducted to identify common themes and patterns in the qualitative data. This analytic strategy according to Asenahabi (2019), is crucial for distilling rich, nuanced insights from the qualitative data, allowing for a deeper understanding of the lived experiences and systemic challenges faced by the homeless population in relation to hypertension.

Conclusion

This capstone project is based on the SDOH model and aims to provide a holistic exploration of hypertension in the homeless population. It aims to unravel the intricate web of social determinants that can influence of health outcomes. Employing a versatile blend of research methods, supported by meticulous data gathering and rigorous statistical analysis, the objective is to uncover profound insights, serving as a compass to steer targeted interventions and tailored public assistance programs, adjusted to the unique tales and journeys of the homeless community.

References