The Provider Score for the Hypertension Score in 38701, Greenville, Mississippi is 49 when comparing 34,000 ZIP Codes in the United States.
An estimate of 86.64 percent of the residents in 38701 has some form of health insurance. 54.41 percent of the residents have some type of public health insurance like Medicare, Medicaid, Veterans Affairs (VA), or TRICARE. About 44.62 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 38701 have VA health insurance. Also, percent of the residents receive TRICARE.
For the 6,409 residents under the age of 18, there is an estimate of 0 pediatricians in a 20-mile radius of 38701. An estimate of 0 geriatricians or physicians who focus on the elderly who can serve the 3,740 residents over the age of 65 years.
In a 20-mile radius, there are 478 health care providers accessible to residents in 38701, Greenville, Mississippi.
Health Scores in 38701, Greenville, Mississippi
| Hypertension Score | 8 |
|---|---|
| People Score | 6 |
| Provider Score | 49 |
| Hospital Score | 6 |
| Travel Score | 51 |
| 38701 | Greenville | Mississippi | |
|---|---|---|---|
| Providers per 10,000 residents | 0.00 | 0.00 | 0.00 |
| Pediatricians per 10,000 residents under 18 | 0.00 | 0.00 | 0.00 |
| Geriatricians per 10,000 residents over 65 | 0.00 | 0.00 | 0.00 |
## Hypertension Score Analysis: Greenville, MS (ZIP Code 38701)
This analysis provides a comprehensive assessment of hypertension management capabilities within ZIP code 38701, Greenville, Mississippi, focusing on primary care availability and the resources available to effectively manage hypertension. The goal is to establish a 'Hypertension Score' that reflects the overall capacity of the local healthcare ecosystem to address this significant public health concern.
Greenville, like many communities, grapples with the pervasive issue of hypertension. Effective management is crucial to mitigate the risks of cardiovascular disease, stroke, and kidney failure. This analysis considers several key factors, including physician-to-patient ratios, the presence of standout practices, the adoption of telemedicine, and the integration of mental health resources, all of which contribute to the quality and accessibility of hypertension care.
The physician-to-patient ratio in Greenville (38701) is a critical starting point. Accurate data on this ratio is essential for understanding the potential burden on existing primary care physicians. A low ratio (fewer patients per physician) generally indicates better access to care and more time for individualized patient management. Conversely, a high ratio can strain resources, potentially leading to longer wait times, less comprehensive care, and decreased patient satisfaction. Publicly available data from sources like the Health Resources and Services Administration (HRSA) and the Mississippi State Department of Health can provide insights into this ratio, allowing us to assess the overall availability of primary care physicians.
Identifying standout practices is crucial. This involves researching clinics and individual physicians known for their exemplary hypertension management protocols. These practices often demonstrate a commitment to evidence-based guidelines, patient education, and proactive monitoring. Key indicators include the implementation of standardized blood pressure measurement protocols, the use of electronic health records for tracking patient progress, and the proactive management of patients with uncontrolled hypertension. Practices that actively engage patients in their care through lifestyle counseling, medication adherence programs, and regular follow-up appointments are particularly noteworthy. The ability to identify and highlight these practices can provide valuable information to patients seeking high-quality hypertension care.
Telemedicine adoption is another important consideration. The rise of telemedicine has the potential to improve access to care, especially for patients in rural areas or those with mobility limitations. The presence of telemedicine capabilities within primary care practices in Greenville can significantly impact the 'Hypertension Score'. Telemedicine can facilitate remote blood pressure monitoring, virtual consultations, and medication management, all of which contribute to improved patient outcomes. Assessing the extent of telemedicine adoption involves determining which practices offer virtual appointments, remote monitoring programs, and patient portals for accessing health information.
The integration of mental health resources is often overlooked in hypertension management, but it is a crucial aspect. Chronic stress, anxiety, and depression can significantly impact blood pressure control. Practices that recognize the link between mental and physical health and offer integrated mental health services, or have established referral pathways to mental health professionals, are better equipped to provide comprehensive care. Evaluating the availability of mental health services, such as counseling, therapy, and psychiatric support, within primary care practices or through readily accessible referral networks, is essential.
The 'Hypertension Score' itself will be derived from a composite of these factors. The score will be a qualitative assessment, not a numerical one. It will be based on the following criteria: physician-to-patient ratio (favorable or unfavorable), the presence of standout practices (number and quality), the extent of telemedicine adoption (high, moderate, or low), and the integration of mental health resources (integrated, referral-based, or limited).
For example, a high score would indicate a favorable physician-to-patient ratio, the presence of multiple standout practices with robust hypertension management protocols, high adoption of telemedicine, and integrated mental health services. A low score would suggest the opposite: an unfavorable physician-to-patient ratio, few standout practices, limited telemedicine adoption, and minimal integration of mental health resources.
The analysis will also consider the availability of resources for patient education and self-management. This includes the availability of educational materials, patient support groups, and access to certified diabetes educators or registered dietitians who can provide guidance on lifestyle modifications, such as diet and exercise. The presence of these resources can empower patients to take an active role in managing their hypertension and improving their overall health outcomes.
The assessment will also consider the demographics of the patient population in Greenville (38701). Understanding the prevalence of hypertension within specific demographic groups, such as African Americans, who are disproportionately affected by hypertension, is critical for tailoring care and ensuring equitable access to resources. This includes identifying any health disparities and evaluating whether practices are actively addressing these disparities through targeted outreach programs or culturally sensitive care.
In conclusion, the 'Hypertension Score' analysis for Greenville (38701) is a multifaceted evaluation of the local healthcare ecosystem's capacity to effectively manage hypertension. By considering factors such as physician-to-patient ratios, standout practices, telemedicine adoption, and the integration of mental health resources, we can gain a comprehensive understanding of the strengths and weaknesses of the current system. This analysis will provide valuable insights for healthcare providers, policymakers, and patients alike, ultimately contributing to improved hypertension control and better health outcomes for the community.
To further visualize and analyze this data, consider utilizing CartoChrome maps. CartoChrome maps provide an interactive platform for visualizing geographic data, allowing you to explore physician locations, healthcare facility locations, and other relevant information within the 38701 ZIP code. This visual approach can enhance understanding and facilitate data-driven decision-making.
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