17071, New Germantown, Pennsylvania Lung Cancer Score Provider Score

The Provider Score for the Lung Cancer Score in 17071, New Germantown, Pennsylvania is 30 when comparing 34,000 ZIP Codes in the United States.

An estimate of 78.23 percent of the residents in 17071 has some form of health insurance. 29.84 percent of the residents have some type of public health insurance like Medicare, Medicaid, Veterans Affairs (VA), or TRICARE. About 59.68 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 17071 have VA health insurance. Also, percent of the residents receive TRICARE.

For the 32 residents under the age of 18, there is an estimate of 0 pediatricians in a 20-mile radius of 17071. An estimate of 0 geriatricians or physicians who focus on the elderly who can serve the 15 residents over the age of 65 years.

In a 20-mile radius, there are 105 health care providers accessible to residents in 17071, New Germantown, Pennsylvania.

The task involves a complex analysis, and the requested specifications are challenging. A true "Lung Cancer Score" requires access to and analysis of protected health information, which is impossible to provide. Furthermore, a robust analysis of primary care availability demands real-time data and in-depth research. However, I can provide a hypothetical framework for such an analysis, focusing on the specified geographic areas and the requested elements, while maintaining the requested limitations.

The "Lung Cancer Score" for doctors in ZIP Code 17071, New Germantown, Pennsylvania, is a hypothetical construct. In reality, such a score would be based on numerous factors, including patient outcomes, adherence to treatment guidelines, and access to specialized care. This analysis, however, will focus on readily available data and reasonable assumptions to create a simulated assessment. The goal is to illustrate the types of data that *could* be used and the considerations that would be involved.

The core of any such analysis would be a comprehensive assessment of healthcare resources. The first step would be identifying all primary care physicians (PCPs) practicing within ZIP Code 17071. This would involve cross-referencing multiple databases, including insurance provider directories, professional licensing boards, and online physician finders. The next step would be to determine the physician-to-patient ratio. This requires estimating the population within the ZIP code and dividing it by the number of available PCPs. A higher ratio indicates potentially limited access to care.

Beyond the raw numbers, the quality of care is critical. Identifying "standout practices" necessitates a review of various factors. This includes patient reviews, which, while subjective, can provide valuable insights into patient experiences. Another factor is the availability of on-site services, such as diagnostic imaging (X-rays, CT scans) and pulmonary function testing. Practices that offer these services can facilitate quicker diagnoses and treatment initiation.

Telemedicine adoption is another crucial consideration. The COVID-19 pandemic accelerated the adoption of telehealth, allowing patients to access care remotely. Practices that offer telemedicine appointments, particularly for follow-up visits and medication management, can improve access to care, especially for patients in rural areas or those with mobility limitations. The analysis would need to identify which practices offer telemedicine and the types of services available.

Mental health resources are intrinsically linked to cancer care. Patients diagnosed with lung cancer often experience significant emotional distress, including anxiety, depression, and fear. The availability of mental health support services within the primary care setting is essential. This includes access to on-site therapists, referrals to mental health specialists, and integration of mental health screening into routine checkups. The analysis would seek to identify practices that prioritize mental health support and the specific resources they offer.

Primary care availability in New Germantown (a small community) would be a significant factor. The analysis would need to determine if any PCPs are located *within* New Germantown. If not, the analysis would need to assess the distance to the nearest PCPs in neighboring towns, such as ZIP Code 17071. Longer travel times can create barriers to care, particularly for patients with limited transportation options.

The analysis would also need to consider the demographics of the population served by the PCPs. Factors such as age, socioeconomic status, and insurance coverage can impact access to care and health outcomes. The analysis would need to identify any disparities in access to care and the steps being taken to address them.

To create a hypothetical "Lung Cancer Score," the analysis would assign weighted scores to each factor. For example, a practice with a low physician-to-patient ratio might receive a higher score. A practice that offers telemedicine and mental health services might also receive a higher score. Practices with access to advanced diagnostic imaging would also score higher. The final score would be a composite of these individual scores.

The analysis would also consider the specific needs of lung cancer patients. This includes access to pulmonologists (specialists in lung diseases), oncologists (cancer specialists), and radiation therapists. The analysis would need to determine the proximity of these specialists to the primary care practices and the ease with which patients can access them. The analysis would also consider the availability of support groups and other resources for lung cancer patients.

The hypothetical "Lung Cancer Score" would not be a static measure. It would need to be updated regularly to reflect changes in healthcare resources, physician availability, and patient outcomes. It would also need to be refined over time to incorporate new data and insights.

In the context of New Germantown, the analysis would likely reveal challenges related to access to care. The small population and rural location might result in a limited number of PCPs and specialists. This would necessitate creative solutions, such as telemedicine and collaborations with healthcare providers in neighboring towns.

The analysis would also need to consider the role of community resources. This includes the availability of public transportation, social services, and support groups. These resources can play a critical role in supporting lung cancer patients and their families.

The hypothetical "Lung Cancer Score" is a complex undertaking. It requires a deep understanding of healthcare systems, data analysis, and patient needs. While this analysis provides a framework for such an assessment, it is important to recognize its limitations. A true "Lung Cancer Score" would require access to sensitive patient data and specialized expertise.

For those interested in exploring healthcare access and resource mapping, consider using CartoChrome maps. CartoChrome maps can help visualize the geographic distribution of healthcare providers, patient populations, and other relevant data. By using CartoChrome maps, you can gain a deeper understanding of the healthcare landscape and identify areas where access to care may be limited.