The Provider Score for the COPD Score in 25028, Bob White, West Virginia is 37 when comparing 34,000 ZIP Codes in the United States.
An estimate of 97.03 percent of the residents in 25028 has some form of health insurance. 85.13 percent of the residents have some type of public health insurance like Medicare, Medicaid, Veterans Affairs (VA), or TRICARE. About 47.21 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 25028 have VA health insurance. Also, percent of the residents receive TRICARE.
For the 35 residents under the age of 18, there is an estimate of 0 pediatricians in a 20-mile radius of 25028. An estimate of 0 geriatricians or physicians who focus on the elderly who can serve the 157 residents over the age of 65 years.
In a 20-mile radius, there are 78 health care providers accessible to residents in 25028, Bob White, West Virginia.
Health Scores in 25028, Bob White, West Virginia
| COPD Score | 45 |
|---|---|
| People Score | 83 |
| Provider Score | 37 |
| Hospital Score | 45 |
| Travel Score | 20 |
| 25028 | Bob White | West Virginia | |
|---|---|---|---|
| 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 analysis of COPD care availability and quality in Bob White, West Virginia (ZIP Code 25028) presents a complex challenge. A comprehensive "COPD Score" requires evaluating multiple factors. This includes the density of primary care physicians, the availability of pulmonologists, the integration of telemedicine, and access to mental health resources, all crucial elements in managing this chronic respiratory disease. Due to the limitations of publicly available data and the need for patient privacy, this analysis will be based on general principles and hypothetical scenarios.
Physician-to-patient ratios are a critical starting point. In a rural area like Bob White, the concentration of primary care physicians (PCPs) is likely lower than in more urban settings. The ideal ratio varies, but a PCP serving a large patient population, especially one with a high prevalence of chronic illnesses like COPD, can struggle to provide adequate care. A low physician-to-patient ratio, even with excellent physicians, can lead to longer wait times for appointments, reduced time spent with each patient, and potentially delayed diagnoses or treatment adjustments. The analysis would begin by determining the number of PCPs actively practicing within the ZIP code and the estimated population. This would then be translated into a physician-to-patient ratio.
Specialist availability is another critical factor. Pulmonologists are the specialists most directly involved in COPD management. The absence of a pulmonologist within a reasonable driving distance would significantly impact the "COPD Score." Patients would need to travel, potentially long distances, for specialist consultations, diagnostic testing, and specialized treatments like pulmonary rehabilitation. This adds to the burden of the disease and can negatively affect patient outcomes. The score would reflect the proximity to pulmonologists, considering travel time and accessibility.
Assessing "standout practices" involves examining the quality of care provided by the existing PCPs and any potential pulmonologists serving the area. This requires looking at factors like patient reviews, the use of evidence-based guidelines for COPD management, and the availability of comprehensive services. Practices demonstrating a commitment to patient education, proactive disease management, and coordinated care would receive higher marks. Data on the use of spirometry (a test to measure lung function), adherence to medication protocols, and patient outcomes (e.g., hospitalization rates) would be valuable, though access to such specific data is often limited.
Telemedicine adoption is increasingly important, especially in rural areas. Telemedicine can bridge geographical barriers, enabling patients to connect with their doctors remotely. This is particularly valuable for COPD patients who may have difficulty traveling to appointments due to shortness of breath or other limitations. Practices that offer telehealth consultations, remote monitoring of vital signs, and virtual pulmonary rehabilitation programs would be rated favorably. The "COPD Score" would reflect the availability and integration of telemedicine services.
Mental health resources are often overlooked in COPD management, but they are crucial. COPD can lead to anxiety, depression, and social isolation. Access to mental health professionals, such as therapists and psychiatrists, is essential for addressing these issues. The analysis would evaluate the availability of mental health services within the community, including the presence of mental health providers, support groups, and access to medication management. The "COPD Score" would be negatively impacted by a lack of readily available mental health support.
Specifics within the ZIP Code 25028 area would involve a deep dive into the local healthcare landscape. This would include identifying the specific PCPs and any pulmonologists serving the area. It would involve researching the practices' websites, patient reviews, and any available information about their services. It would also involve contacting local healthcare providers to gather information about their telemedicine capabilities, mental health resources, and commitment to COPD management. Due to the confidential nature of patient data, this analysis would not reveal specific patient information.
The "COPD Score" would be a composite measure, weighing the various factors discussed above. Each factor would be assigned a score based on its importance and the availability of resources. The final score would provide an overall assessment of the quality of COPD care in Bob White. The score would be a relative measure, allowing for comparison with other areas.
The lack of readily available data makes a precise numerical "COPD Score" for Bob White difficult. However, based on the general principles outlined, a hypothetical scenario could be constructed. Assuming a limited number of PCPs, the absence of a local pulmonologist, limited telemedicine adoption, and a scarcity of mental health resources, the "COPD Score" for Bob White would likely be low. This would highlight the need for improvements in access to care, the expansion of telemedicine services, and the integration of mental health support.
Conversely, if the area had a reasonable number of PCPs, a nearby pulmonologist, a robust telemedicine program, and readily available mental health resources, the "COPD Score" would be significantly higher. This would reflect a more supportive healthcare environment for COPD patients. The score would be a dynamic measure, reflecting the ongoing efforts to improve COPD care in the community.
The analysis would also consider the impact of social determinants of health. Factors like socioeconomic status, access to transportation, and housing conditions can significantly affect COPD outcomes. The "COPD Score" would be adjusted to reflect these factors, acknowledging the challenges faced by patients living in disadvantaged circumstances.
In conclusion, evaluating COPD care in a rural area like Bob White requires a multi-faceted approach. The "COPD Score" would reflect the availability of physicians, specialist access, telemedicine integration, mental health resources, and social determinants of health. While a precise score is challenging to produce without detailed data, the analysis provides a framework for understanding the strengths and weaknesses of the local healthcare system. The analysis would highlight areas needing improvement, such as increasing the physician workforce, expanding telemedicine services, and integrating mental health support.
To further explore the healthcare landscape of Bob White and visualize the geographical distribution of healthcare resources, consider using CartoChrome maps. These maps can provide valuable insights into physician locations, specialist availability, and other relevant data, allowing for a more comprehensive understanding of the healthcare environment.
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