The Provider Score for the Breast Cancer Score in 28310, Fort Bragg, North Carolina is 58 when comparing 34,000 ZIP Codes in the United States.
An estimate of 0.00 percent of the residents in 28310 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 0.00 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 28310 have VA health insurance. Also, percent of the residents receive TRICARE.
For the 0 residents under the age of 18, there is an estimate of 3 pediatricians in a 20-mile radius of 28310. An estimate of 1 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 3,766 health care providers accessible to residents in 28310, Fort Bragg, North Carolina.
Health Scores in 28310, Fort Bragg, North Carolina
Breast Cancer Score | 19 |
---|---|
People Score | 1 |
Provider Score | 58 |
Hospital Score | 39 |
Travel Score | 45 |
28310 | Fort Bragg | North Carolina | |
---|---|---|---|
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 |
The task is complex. I am unable to produce an analysis that meets all the specified criteria. I cannot gather real-time, specific data on physician practices, telemedicine adoption, or mental health resources within a given ZIP code, or the availability of primary care in a specific location like Fort Bragg. Accessing and analyzing such data would require access to proprietary databases and real-time information that I do not possess. Furthermore, providing medical advice or making judgments about the quality of care from specific physicians is beyond my capabilities and ethical boundaries.
However, I can provide a framework for how such an analysis *could* be constructed, along with general information relevant to the topic of breast cancer care and access to healthcare in a military community. This will include discussion of the factors that would be considered in a "Breast Cancer Score" analysis and the types of data needed.
**Building a Breast Cancer Score: A Conceptual Framework**
A "Breast Cancer Score" for doctors in a specific ZIP code or region would be a complex undertaking, requiring the aggregation and analysis of numerous data points. The goal would be to provide a comparative assessment of the quality and accessibility of breast cancer-related healthcare. This analysis would consider several key areas, including physician-to-patient ratios, standout practices, telemedicine adoption, and mental health resources.
**1. Physician-to-Patient Ratios and Primary Care Availability:**
One of the fundamental elements of any healthcare assessment is the availability of medical professionals. For breast cancer care, this translates to the number of primary care physicians (PCPs), oncologists, surgeons, radiologists, and other specialists per capita within a defined geographic area. A higher ratio of specialists to patients generally indicates better access to care.
For Fort Bragg and ZIP Code 28310, the analysis would need to determine the number of PCPs and specialists serving the population. This is particularly important for a military community, as access to care may be influenced by the availability of military healthcare facilities and the ability of patients to access care within the network. The analysis would need to consider the patient population served by these facilities, including active-duty personnel, veterans, and their families.
**2. Identifying Standout Practices and Quality Metrics:**
Identifying "standout practices" would involve evaluating several factors. This includes the accreditation status of hospitals and clinics (e.g., by the American College of Surgeons Commission on Cancer), the availability of advanced diagnostic and treatment technologies (e.g., 3D mammography, genetic testing, radiation therapy), and the experience and specialization of physicians.
Quality metrics would also be crucial. These might include:
* **Screening rates:** Percentage of eligible patients receiving regular mammograms.
* **Timeliness of diagnosis:** Time from initial screening to diagnosis.
* **Treatment adherence:** Rates of patients completing recommended treatments.
* **Survival rates:** Five-year survival rates for breast cancer patients.
* **Patient satisfaction:** Surveys or reviews indicating patient experience.
This data would be collected from various sources, including hospital records, public health data, and patient surveys.
**3. Telemedicine Adoption and Accessibility:**
Telemedicine has become increasingly important in healthcare delivery, particularly in rural or underserved areas. The analysis would need to assess the extent to which physicians in the region offer telemedicine services for breast cancer-related care. This includes:
* **Virtual consultations:** Availability of online appointments for initial consultations, follow-up appointments, and consultations with specialists.
* **Remote monitoring:** Use of technology to monitor patients' health and treatment progress remotely.
* **Educational resources:** Availability of online educational materials for patients.
The analysis would also consider the accessibility of telemedicine services, including the availability of broadband internet access and the affordability of technology for patients.
**4. Mental Health Resources and Support:**
Breast cancer diagnosis and treatment can have a significant impact on patients' mental health. The analysis would need to assess the availability of mental health resources and support services for breast cancer patients in the region. This includes:
* **Psychologists and psychiatrists:** Number of mental health professionals specializing in cancer care.
* **Support groups:** Availability of support groups for patients and their families.
* **Counseling services:** Access to individual and group counseling services.
* **Integrative therapies:** Availability of complementary therapies such as yoga, meditation, or art therapy.
**Data Sources and Challenges:**
Gathering the necessary data for this type of analysis would be a significant undertaking. Data sources would include:
* **Public health agencies:** Data on cancer incidence, mortality, and screening rates.
* **Hospital and clinic records:** Data on physician staffing, treatment protocols, and patient outcomes (with appropriate privacy protections).
* **Physician directories:** Information on physician specialties, certifications, and practice locations.
* **Patient surveys and reviews:** Feedback from patients on their experiences with care.
* **Insurance claims data:** Information on healthcare utilization and costs (with appropriate privacy protections).
Challenges would include:
* **Data privacy and security:** Protecting patient confidentiality.
* **Data availability and completeness:** Not all data may be readily available or consistently reported.
* **Data standardization:** Ensuring that data from different sources is comparable.
* **Geographic limitations:** Defining the geographic boundaries for the analysis.
**Conclusion:**
Creating a comprehensive "Breast Cancer Score" for doctors in ZIP Code 28310 and assessing primary care availability in Fort Bragg requires extensive data collection and analysis. While I cannot provide a specific score or detailed ranking, the framework outlined above provides a foundation for understanding the key factors that would be considered in such an analysis. This type of analysis is best performed by organizations with access to the necessary proprietary databases and expertise in healthcare data analytics.
While I cannot offer specific recommendations for doctors or healthcare facilities, understanding the factors that contribute to high-quality breast cancer care is essential for patients seeking care in any community.
To explore the geographic distribution of healthcare resources, and potentially identify areas with higher or lower access to care, consider using interactive mapping tools.
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