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1.
J Contin Educ Nurs ; 55(1): 4-6, 2024 Jan.
Artigo em Inglês | MEDLINE | ID: mdl-38165216

RESUMO

Advanced practice providers (APPs) are a growing and essential component of today's health care delivery models. APP fellowship programs have been developed by health care systems to address APP recruitment, retention, and preparedness. However, APP fellowship programs are not widely accessible to most new graduate APPs or experienced APPs who wish to change their specialty. The development of these programs can be costly for health care systems to initiate and maintain. This article discusses the development of a "universal" APP fellowship program that allows for increased program accessibility and financial sustainability for health care systems. [J Contin Educ Nurs. 2024;55(1):4-6.].


Assuntos
Bolsas de Estudo , Acessibilidade aos Serviços de Saúde , Humanos
2.
Nurs Adm Q ; 2023 Dec 19.
Artigo em Inglês | MEDLINE | ID: mdl-38112696

RESUMO

In the face of ever-evolving shifts in health care, the demand for advanced practice providers (APPs), including nurse practitioners and physician assistants, continues to grow as the nation faces provider shortages and increased patient complexity. Because of different educational backgrounds and previous professional experience, there is a gap in readiness for practice following completion of academic programs, leading to high rates of turnover and financial implications for health care institutions. The creation of APP fellowship programs is a strategy many health institutions implement to provide enhanced support for new graduate APPs. These programs offer fully licensed and credentialed nurse practitioners and physician assistants additional experience within medical specialty areas. The establishment and operational cost associated with an APP fellowship program is a significant barrier health systems face. This article discusses how Saint Luke's Health System developed an APP fellowship program to address these barriers. The model addresses specific fellow needs and has contributed to improved employee retention rates, increased clinical competency, and overall provider satisfaction within Saint Luke's Health System. The evolution of the model, successes, barriers, and opportunities for future program growth are discussed within this article.

3.
Prog Cardiovasc Nurs ; 23(2): 84-8, 2008.
Artigo em Inglês | MEDLINE | ID: mdl-18843830

RESUMO

The prevalence of heart failure has increased by 500% over the past 30 years, creating a significant burden on the health care system. Traditional means of detecting worsening heart failure, such as subjective assessment, symptoms, and physical examination, lack sensitivity and specificity. Many nurses who manage heart failure patients have become interested in the role implantable cardiac devices play in monitoring patients' clinical status. In addition to providing therapies, some devices track and report diagnostic information that allows clinicians to more closely and effectively monitor patients, with the possibility of helping to prevent hospitalizations and improve patient outcomes. Optimal use of device diagnostics requires clinics to establish systems for recognizing patients who are eligible for device monitoring. This paper highlights various methods clinics have used to identify patients with implantable cardiac devices so that their device data can be used in conjunction with clinical evaluations to help guide patient care.


Assuntos
Estimulação Cardíaca Artificial/métodos , Insuficiência Cardíaca/diagnóstico , Monitorização Ambulatorial/instrumentação , Avaliação em Enfermagem/métodos , Marca-Passo Artificial , Seleção de Pacientes , Estimulação Cardíaca Artificial/enfermagem , Coleta de Dados , Interpretação Estatística de Dados , Progressão da Doença , Diagnóstico Precoce , Eletrofisiologia/instrumentação , Insuficiência Cardíaca/epidemiologia , Insuficiência Cardíaca/terapia , Humanos , Monitorização Ambulatorial/enfermagem , Papel do Profissional de Enfermagem , Prevalência , Sensibilidade e Especificidade , Índice de Gravidade de Doença
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