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1.
Artigo em Inglês | MEDLINE | ID: mdl-37806371

RESUMO

In 2019, nearly 14 million colonoscopies were performed in the United States.1 In these settings, the accepted practice is that a responsible person drives and chaperones patients home after receiving procedural sedation, including colonoscopy.2 Lack of access to transportation and/or a chaperone is a persistent barrier to care in safety-net health systems and federally qualified health centers as a result of lower incomes, underinsurance, and higher social needs.3 Given racial, ethnic, and socioeconomic disparities in many digestive diseases that require colonoscopy for diagnosis and management, innovative solutions are needed to overcome logistical barriers to colonoscopy completion, especially in these settings.

2.
J Am Coll Surg ; 231(3): 316-324.e1, 2020 09.
Artigo em Inglês | MEDLINE | ID: mdl-32561446

RESUMO

BACKGROUND: Washington State experienced the first major outbreak of COVID-19 in the US and despite a significant number of cases, has seen a relatively low death rate per million population compared with other states with major outbreaks, and has seen a substantial decrease in the projections for healthcare use, that is, "flattening the curve." This consensus report seeks to identify the key factors contributing to the effective health system disaster response in western WA. METHODS: A multidisciplinary, expert panel including individuals and organizations who were integral to managing the public health and emergency healthcare system response were engaged in a consensus process to identify the key themes and lessons learned and develop recommendations for ongoing management of the COVID-19 pandemic. RESULTS: Six key themes were identified, including early communication and coordination among stakeholders; regional coordination of the healthcare system response; rapid development and access to viral testing; proactive management of long-term care and skilled nursing facilities; proactive management of vulnerable populations; and effective physical distancing in the community. CONCLUSIONS: Based on the lessons learned in each of the areas identified by the panel, 11 recommendations are provided to support the healthcare system disaster response in managing future outbreaks.


Assuntos
Betacoronavirus , Controle de Doenças Transmissíveis/organização & administração , Infecções por Coronavirus/epidemiologia , Infecções por Coronavirus/prevenção & controle , Atenção à Saúde/organização & administração , Pandemias/prevenção & controle , Pneumonia Viral/epidemiologia , Pneumonia Viral/prevenção & controle , COVID-19 , Comunicação , Infecções por Coronavirus/diagnóstico , Serviços Médicos de Emergência/organização & administração , Humanos , Assistência de Longa Duração/organização & administração , Pneumonia Viral/diagnóstico , SARS-CoV-2 , Participação dos Interessados , Washington/epidemiologia
4.
Postgrad Med ; 120(4): 101-6, 2008 Nov.
Artigo em Inglês | MEDLINE | ID: mdl-19020372

RESUMO

Understanding Center for Medicare and Medicaid Services (CMS) documentation and coding rules is challenging for most physicians. To accurately bill for clinical services, physicians must learn a system that may initially seem daunting, but is in fact governed by a small number of straightforward rules. The Evaluation and Management (E/M) guidelines for all service codes specify 3 components: history, examination, and medical decision-making, each with a defined set of elements or characteristics. Service coding is based on the level of care supported by the number of history and examination elements and the complexity of decision-making. This article will clarify the guidelines for outpatient clinical services and suggest a practical method of selecting appropriate E/M codes. Because physicians must often choose between billing codes 99213 and 99214 for a visit by an established patient, it will particularly focus on the minimum documentation needed to bill a 99214 code.


Assuntos
Assistência Ambulatorial , Centers for Medicare and Medicaid Services, U.S. , Controle de Formulários e Registros/organização & administração , Formulário de Reclamação de Seguro , Prontuários Médicos , Humanos , Masculino , Estados Unidos
5.
J Health Care Poor Underserved ; 19(4): 1060-75, 2008 Nov.
Artigo em Inglês | MEDLINE | ID: mdl-19029737

RESUMO

OBJECTIVE: Public hospital systems share a mission to provide access to healthcare regardless of ability to pay. While public hospital systems care for large numbers of socioeconomically vulnerable and ethnically diverse populations who have diabetes, little is known about the quality of diabetes care provided in these sites. METHODS: We assessed the measurement and control of hemoglobin A1c (HbA1c) and lipids (LDL) in a sample of patients with diabetes with > or =2 outpatient visits per year in two consecutive years at one of 6 public hospitals (N=14,222). RESULTS: High proportions of patients had at least one HbA1c and LDL measurement within 2 years (89% and 88%, respectively). Thirty-five percent had HbA1c < 7.0%; 21% had HbA1c > or =9.5%; 36% had LDL<100 mg/dl; 10% had LDL>160 mg/dl. Non-White patients and patients who were never insured were most at risk for poor glycemic and lipid control. CONCLUSIONS: The quality of care, as measured by glycemic and lipid monitoring and control among ongoing users of public hospital systems, was similar to that of other health systems, but disparities exist across race/ethnicity and insurance status. Because of the critical role these institutions play in providing care to the underserved, research is needed to explore factors contributing to differences in glycemic and lipid control and develop strategies to improve chronic disease management in these systems.


Assuntos
Diabetes Mellitus/sangue , Diabetes Mellitus/terapia , Hemoglobinas Glicadas/análogos & derivados , Hospitais Públicos/estatística & dados numéricos , Lipídeos/sangue , Pobreza/estatística & dados numéricos , Adolescente , Adulto , Idoso , Diabetes Mellitus/etnologia , Feminino , Hemoglobinas Glicadas/análise , Disparidades em Assistência à Saúde/estatística & dados numéricos , Humanos , Cobertura do Seguro/estatística & dados numéricos , Seguro Saúde/estatística & dados numéricos , Masculino , Pessoa de Meia-Idade , Qualidade da Assistência à Saúde/estatística & dados numéricos , Grupos Raciais/estatística & dados numéricos , Fatores Socioeconômicos , Estados Unidos , Adulto Jovem
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