38964, Vance, Mississippi Hypertension Score Provider Score

The Provider Score for the Hypertension Score in 38964, Vance, Mississippi is 35 when comparing 34,000 ZIP Codes in the United States.

An estimate of 100.00 percent of the residents in 38964 has some form of health insurance. 0.00 percent of the residents have some type of public health insurance like Medicare, Medicaid, Veterans Affairs (VA), or TRICARE. About 100.00 percent of the residents have private health insurance, either through their employer or direct purchase. Military veterans should know that percent of the residents in the ZIP Code of 38964 have VA health insurance. Also, percent of the residents receive TRICARE.

For the 17 residents under the age of 18, there is an estimate of 0 pediatricians in a 20-mile radius of 38964. An estimate of 0 geriatricians or physicians who focus on the elderly who can serve the 0 residents over the age of 65 years.

In a 20-mile radius, there are 73 health care providers accessible to residents in 38964, Vance, Mississippi.

## Hypertension Score Analysis: ZIP Code 38964 & Vance, Mississippi

Analyzing the landscape of hypertension care within ZIP code 38964, which encompasses Vance, Mississippi, requires a multi-faceted approach. This analysis will delve into the availability of primary care physicians, the physician-to-patient ratio, the adoption of telemedicine, the integration of mental health resources, and identify potential standout practices. This information will then be synthesized into a ‘Hypertension Score’ analysis, providing a nuanced understanding of the challenges and opportunities for effective hypertension management in this specific geographic area.

The foundation of effective hypertension management rests on accessible primary care. In Vance, the availability of primary care physicians is a crucial determinant of the quality of care. The number of practicing physicians, their specializations, and their willingness to accept new patients are all factors that directly impact the ability of residents to receive timely diagnoses, regular check-ups, and ongoing management of their condition. This analysis will investigate the number of primary care physicians actively practicing within the ZIP code, cross-referencing this data with population demographics to calculate a physician-to-patient ratio. A low ratio, indicating fewer physicians per capita, would likely correlate with reduced access to care and potentially, poorer hypertension control.

Beyond sheer numbers, the operational capacity of existing practices is critical. Are appointments readily available? What is the average wait time for a new patient? Do practices offer extended hours or weekend appointments to accommodate varying schedules? These practical considerations significantly impact patient adherence to treatment plans and the overall effectiveness of hypertension management. This analysis will assess the operational efficiency of primary care practices, looking for indicators of patient-centered care, such as streamlined appointment scheduling, electronic health records, and proactive outreach programs.

Telemedicine has emerged as a powerful tool for expanding healthcare access, particularly in rural areas. Its potential to bridge geographical barriers and facilitate remote monitoring is particularly relevant for hypertension management. This analysis will assess the adoption of telemedicine within primary care practices in 38964. Are virtual consultations offered? Do physicians utilize remote patient monitoring devices, such as blood pressure cuffs that transmit readings directly to the clinic? The extent of telemedicine integration will be a significant factor in the Hypertension Score, reflecting its potential to improve patient outcomes and reduce healthcare disparities.

Hypertension is frequently intertwined with mental health. Stress, anxiety, and depression can exacerbate high blood pressure and hinder adherence to treatment regimens. Therefore, the integration of mental health resources within primary care practices is vital for holistic patient care. This analysis will investigate the availability of mental health services within the primary care setting or through readily accessible referral networks. Are behavioral health specialists on staff? Do practices screen patients for mental health conditions? The presence of robust mental health support will contribute positively to the Hypertension Score, highlighting the importance of addressing the psychological aspects of chronic disease management.

Identifying standout practices within 38964 is a key objective of this analysis. These practices may demonstrate exemplary patient care, innovative approaches to hypertension management, or exceptional patient outcomes. This analysis will look for practices that actively engage in patient education, offer comprehensive hypertension management programs, and consistently achieve positive results. Factors such as patient satisfaction scores, rates of blood pressure control, and adherence to evidence-based guidelines will be considered in identifying these exemplary practices. The presence of standout practices will positively influence the overall Hypertension Score, showcasing models of best practices for others to emulate.

The Hypertension Score will be a composite metric, reflecting the various factors discussed above. It will be calculated based on a weighted system, with each factor contributing to the overall score. The physician-to-patient ratio, telemedicine adoption, mental health integration, and the identification of standout practices will all be weighted according to their impact on hypertension management effectiveness. The final score will provide a comprehensive assessment of the state of hypertension care within 38964, providing a valuable tool for healthcare providers, policymakers, and residents alike.

The analysis will consider the demographic characteristics of the population in 38964, including age, race, and socioeconomic status. These factors can influence the prevalence of hypertension and the barriers to accessing care. By considering these demographic nuances, the analysis will provide a more accurate and relevant assessment of the challenges and opportunities for hypertension management in Vance, Mississippi. This contextual understanding is crucial for developing targeted interventions and improving healthcare outcomes for all residents.

Data collection will involve a multi-pronged approach. Publicly available data from sources such as the Centers for Medicare & Medicaid Services (CMS), the Mississippi State Department of Health, and the U.S. Census Bureau will be utilized. Additionally, direct outreach to primary care practices within the ZIP code will be conducted to gather information on practice operations, telemedicine adoption, and mental health services. Patient satisfaction surveys and community feedback will also be considered to gain a comprehensive understanding of the patient experience.

The final Hypertension Score will provide a clear and concise overview of the strengths and weaknesses of hypertension care in 38964. It will serve as a benchmark for future improvements and a catalyst for positive change. The analysis will identify areas where resources are lacking and highlight opportunities for improvement. This information can be used to inform policy decisions, allocate resources effectively, and ultimately, improve the health and well-being of the residents of Vance, Mississippi.

The results of this analysis will be presented in a clear and accessible format, including a summary of key findings, a detailed breakdown of the Hypertension Score, and recommendations for improvement. The goal is to empower stakeholders with the information they need to make informed decisions and drive positive change in hypertension management. This data can be used to create targeted interventions and improve healthcare outcomes.

For a visual representation of the healthcare landscape in 38964 and beyond, including physician locations, patient demographics, and potential areas for improvement, explore the power of spatial data visualization.