26568, Enterprise, West Virginia Overall Health Score Provider Score

The Provider Score for the Overall Health Score in 26568, Enterprise, West Virginia is 54 when comparing 34,000 ZIP Codes in the United States.

An estimate of 92.60 percent of the residents in 26568 has some form of health insurance. 40.38 percent of the residents have some type of public health insurance like Medicare, Medicaid, Veterans Affairs (VA), or TRICARE. About 84.91 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 26568 have VA health insurance. Also, percent of the residents receive TRICARE.

For the 184 residents under the age of 18, there is an estimate of 4 pediatricians in a 20-mile radius of 26568. An estimate of 0 geriatricians or physicians who focus on the elderly who can serve the 139 residents over the age of 65 years.

In a 20-mile radius, there are 853 health care providers accessible to residents in 26568, Enterprise, West Virginia.

## Overall Health Score Analysis: ZIP Code 26568 and Enterprise Primary Care

This analysis provides an assessment of the overall health landscape within ZIP Code 26568, focusing on the availability and quality of primary care, and comparing it to the broader context of primary care accessibility in Enterprise, Alabama. The goal is to evaluate the strengths and weaknesses of the healthcare infrastructure, highlighting areas for improvement and providing actionable insights.

The foundation of a healthy community rests on accessible and quality primary care. This includes the availability of physicians, the efficiency of appointment scheduling, the integration of technology, and the presence of supportive mental health resources. Evaluating these factors allows for a comprehensive understanding of the health ecosystem.

**ZIP Code 26568: A Microscopic View**

Analyzing the healthcare resources within ZIP Code 26568 requires a detailed examination of several key indicators. Physician-to-patient ratios are a fundamental metric. A high ratio, meaning fewer physicians per capita, can indicate potential challenges in accessing timely care. Data collection from sources like the Centers for Medicare & Medicaid Services (CMS) and state medical boards is crucial to determine the precise number of primary care physicians practicing within the ZIP code and the estimated population they serve.

Beyond sheer numbers, the distribution of physicians within the ZIP code is also important. Are primary care practices clustered in certain areas, leaving others underserved? This geographic analysis helps identify potential healthcare deserts and informs strategies for resource allocation.

Standout practices within 26568 should be identified. These practices may demonstrate exemplary patient care, innovative service models, or strong community outreach programs. Examining their operational practices, patient satisfaction scores, and adoption of technology can provide valuable lessons for other providers. These practices might offer extended hours, same-day appointments, or specialized services that set them apart.

Telemedicine adoption is another critical factor. The ability to offer virtual consultations, remote monitoring, and online patient portals significantly enhances access to care, especially for those with mobility limitations or residing in rural areas. Assessing the prevalence of telemedicine among primary care providers in 26568 helps gauge the community's technological preparedness and its ability to adapt to evolving healthcare models.

Mental health resources are often integrated within primary care settings. The availability of on-site therapists, psychiatrists, or partnerships with mental health providers is crucial. Assessing the integration of mental health services within primary care practices in 26568 is essential, especially considering the high prevalence of mental health issues in many communities.

**Enterprise Primary Care: A Comparative Framework**

Comparing the healthcare landscape in 26568 to the broader context of primary care availability in Enterprise, Alabama, provides a valuable benchmark. Enterprise, with its larger population and potentially more developed healthcare infrastructure, can serve as a comparative model.

Analyzing physician-to-patient ratios in Enterprise allows for a comparative assessment. Is 26568's ratio comparable to, better than, or worse than Enterprise's? This comparison highlights the relative strengths and weaknesses of the healthcare resources in 26568.

The types of primary care practices available in Enterprise should also be considered. Are there more specialized clinics, urgent care centers, or community health centers? This analysis provides insight into the diversity of care options available and the potential for innovation.

Telemedicine adoption rates in Enterprise can be compared to those in 26568. Are providers in Enterprise more or less likely to utilize telemedicine? This comparison provides insight into the overall technological readiness of the healthcare systems in both areas.

The availability of mental health resources in Enterprise is another crucial comparison point. Are mental health services more readily accessible in Enterprise? This comparison highlights the relative strengths and weaknesses of the mental health infrastructure in both areas.

**Data Collection and Analysis: The Foundation of Understanding**

The effectiveness of this analysis relies on comprehensive data collection. This includes gathering information from various sources, such as the CMS, state medical boards, insurance providers, and local healthcare organizations. Patient satisfaction surveys, community health needs assessments, and interviews with healthcare providers can provide valuable qualitative insights.

Analyzing this data requires a combination of quantitative and qualitative methods. Statistical analysis of physician-to-patient ratios, appointment wait times, and telemedicine adoption rates provides a clear picture of the healthcare landscape. Qualitative analysis of patient experiences, provider perspectives, and community needs assessments adds depth and context to the quantitative findings.

**Identifying Areas for Improvement and Actionable Strategies**

The analysis should identify specific areas for improvement. If physician-to-patient ratios are high, strategies to attract and retain physicians are needed. If telemedicine adoption is low, initiatives to promote the use of telehealth technologies are necessary. If mental health resources are lacking, partnerships with mental health providers and the integration of mental health services within primary care practices should be prioritized.

Actionable strategies should be developed based on the analysis. These strategies might include:

* **Recruitment and Retention Programs:** Incentivizing physicians to practice in underserved areas.
* **Telemedicine Implementation:** Providing training and support for telemedicine adoption.
* **Mental Health Integration:** Partnering with mental health providers to offer integrated care.
* **Community Outreach:** Educating the community about available healthcare resources.
* **Improving Access:** Promoting extended hours, same-day appointments, and transportation assistance.

**Conclusion: Visualizing the Healthcare Landscape**

Understanding the overall health score for a specific ZIP code and comparing it to a broader area like Enterprise is crucial for improving community health. This analysis provides a framework for assessing the strengths and weaknesses of the healthcare infrastructure, identifying areas for improvement, and developing actionable strategies. A data-driven approach is essential for creating a healthier and more accessible healthcare system.

To visualize the healthcare landscape in 26568 and Enterprise, and to gain a deeper understanding of physician distribution, practice locations, and resource availability, we recommend exploring CartoChrome maps. These interactive maps provide a powerful tool for analyzing geographic data and identifying patterns and trends in healthcare access.