The Provider Score for the Arthritis Score in 35574, Kennedy, Alabama is 23 when comparing 34,000 ZIP Codes in the United States.
An estimate of 99.01 percent of the residents in 35574 has some form of health insurance. 36.78 percent of the residents have some type of public health insurance like Medicare, Medicaid, Veterans Affairs (VA), or TRICARE. About 82.28 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 35574 have VA health insurance. Also, percent of the residents receive TRICARE.
For the 312 residents under the age of 18, there is an estimate of 0 pediatricians in a 20-mile radius of 35574. An estimate of 0 geriatricians or physicians who focus on the elderly who can serve the 283 residents over the age of 65 years.
In a 20-mile radius, there are 119 health care providers accessible to residents in 35574, Kennedy, Alabama.
Health Scores in 35574, Kennedy, Alabama
Arthritis Score | 36 |
---|---|
People Score | 62 |
Provider Score | 23 |
Hospital Score | 57 |
Travel Score | 30 |
35574 | Kennedy | Alabama | |
---|---|---|---|
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 |
## Arthritis Score Analysis: Kennedy, Alabama (ZIP Code 35574)
The following analysis assesses the landscape of healthcare accessibility and quality, with a particular focus on arthritis care, within the Kennedy, Alabama area (ZIP Code 35574). This evaluation considers primary care availability, physician-to-patient ratios, the presence of standout practices, telemedicine adoption rates, and the integration of mental health resources. The goal is to provide a comprehensive 'Arthritis Score' analysis, highlighting strengths, weaknesses, and areas for potential improvement in the provision of care for individuals managing arthritis and other chronic conditions.
Kennedy, a small town in Lamar County, presents unique challenges and opportunities within its healthcare ecosystem. Population density, socioeconomic factors, and geographical isolation can significantly impact access to quality medical services. The analysis begins by examining the core component of healthcare access: the availability of primary care physicians.
Primary care physicians are the gatekeepers to the healthcare system, often serving as the first point of contact for patients experiencing symptoms of arthritis. They are responsible for diagnosis, initial treatment, and referral to specialists when necessary. The physician-to-patient ratio is a crucial metric. A high ratio, indicating fewer physicians per capita, can lead to longer wait times for appointments, reduced access to care, and increased patient burden. Assessing the current physician-to-patient ratio within ZIP Code 35574 is essential for understanding the accessibility of primary care. Data from the Health Resources and Services Administration (HRSA) and other sources should be consulted to determine this ratio.
Beyond the raw numbers, the distribution of primary care physicians within the community matters. Are physicians concentrated in a single clinic or hospital, or are they distributed across multiple practices? This distribution affects the geographic accessibility of care, especially for individuals with limited transportation options. The presence of federally qualified health centers (FQHCs) or other safety-net providers is also a significant factor, as these facilities often serve vulnerable populations and may offer sliding-scale fees.
The quality of primary care is another critical aspect of the analysis. This involves evaluating the practices of existing primary care facilities. Are these practices using electronic health records (EHRs) to improve efficiency and care coordination? Do they offer extended hours or weekend appointments to accommodate patients' schedules? Are they actively involved in preventative care, such as screening for arthritis risk factors and educating patients about disease management? This is important for the arthritis score analysis.
The presence of specialist care, particularly rheumatologists, is vital for patients with arthritis. Rheumatologists are physicians specializing in the diagnosis and treatment of rheumatic diseases, including various forms of arthritis. The availability of rheumatologists within a reasonable driving distance is a significant factor in the overall quality of arthritis care. The analysis must identify the nearest rheumatology practices, assess their appointment availability, and evaluate the scope of services they offer.
Telemedicine, the use of technology to deliver healthcare remotely, has gained increasing prominence, especially in rural areas. Telemedicine can improve access to care by reducing the need for patients to travel long distances for appointments. The adoption of telemedicine by primary care physicians and specialists in the Kennedy area is a key indicator of healthcare accessibility. Are physicians offering virtual consultations, remote monitoring, or other telehealth services? The availability of reliable internet access within the community is also an important consideration.
The integration of mental health resources into arthritis care is increasingly recognized as essential. Chronic pain and disability associated with arthritis can significantly impact mental well-being, leading to depression, anxiety, and other mental health challenges. The analysis should investigate the availability of mental health services within the community, including psychiatrists, psychologists, and licensed therapists. Do primary care practices have integrated behavioral health services? Do they offer referrals to mental health providers? Are there support groups or other resources available for individuals with arthritis and related mental health concerns?
Standout practices are those that demonstrate excellence in patient care, innovation, and community engagement. Identifying these practices can highlight best practices and provide insights into how to improve the overall quality of care. These practices may be recognized for their patient-centered approach, their use of technology, or their commitment to community outreach. The analysis should identify any practices that have received awards or recognition for their quality of care.
The analysis also needs to consider the impact of social determinants of health (SDOH) on arthritis care. SDOH are the non-medical factors that influence health outcomes, such as socioeconomic status, access to healthy food, housing stability, and transportation. Understanding the SDOH within the Kennedy area is crucial for developing effective interventions to improve arthritis care. For example, if a significant portion of the population lacks reliable transportation, telemedicine or mobile health services may be particularly valuable.
The overall 'Arthritis Score' for Kennedy, Alabama, will be a composite measure based on the factors discussed above. It will reflect the accessibility, quality, and comprehensiveness of care available to individuals with arthritis. This score can be used to benchmark the community's healthcare system, identify areas for improvement, and inform efforts to enhance arthritis care. This score will be based on a weighted average of the factors discussed.
This 'Arthritis Score' analysis is intended to provide a snapshot of the healthcare landscape in Kennedy, Alabama. It is a starting point for a more in-depth assessment. Further research, including interviews with healthcare providers, patients, and community stakeholders, is recommended to gain a more nuanced understanding of the challenges and opportunities in providing care for individuals with arthritis.
For a visual representation of the healthcare landscape in Kennedy, including the location of primary care practices, specialist offices, and other healthcare resources, consider using CartoChrome maps. CartoChrome maps can provide valuable insights into healthcare accessibility and distribution, allowing you to visualize the data and identify areas where resources are needed.
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