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1.
Aust J Prim Health ; 2020 Dec 03.
Artigo em Inglês | MEDLINE | ID: mdl-33264584

RESUMO

There has been a growth in Australian school-based nurses to address the inequities confronted by vulnerable students and school populations. Failure to address inequities can be evidenced in intergenerational poverty, poorer health and educational attainment and diminished life opportunities. School-based nurses are ideally located to advocate for public health policies and programs that address social determinants that detrimentally affect the health of school populations. However, school-based nurses can confront professional and speciality challenges in extending their efforts beyond individual student advocacy to effect change at the school population level. Guidance is required to redress this situation. This paper describes public health advocacy, the professional and speciality advocacy roles of school-based nurses and the barriers they confront in advocating for the health of school populations and strategies that can be used by key stakeholders to enhance school-based nursing public health advocacy efforts. School-based nurses who are competent, enabled and supported public health advocates are required if we are to achieve substantial and sustained health equity and social justice outcomes for vulnerable school populations.

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Am J Med ; 130(9): 1107-1111.e1, 2017 09.
Artigo em Inglês | MEDLINE | ID: mdl-28545885

RESUMO

BACKGROUND: The Yale New Haven Readmission Risk Score (YNHRRS) for pneumonia is a clinical prediction tool developed to assess risk for 30-day readmission. This tool was validated in a cohort of Medicare patients; generalizability to a broader patient population has not been evaluated. In addition, it lacks indicators of functional status or social support, which have been shown in other studies to be predictors of readmission. The objective of this study was to evaluate the generalizability of the YNHRRS for pneumonia in a general population of hospitalized patients, and assess the impact of incorporating measures of functional status and social support on its predictive value. METHODS: This retrospective chart review comprised all patients admitted to a 563-bed academic medical center with a primary diagnosis of pneumonia between March 2014 and March 2015. Abstraction of clinical variables allowed calculation of the YNHRRS and additional indicators of functional status and social support. The primary outcome was 30-day readmission rate. We created a logistic regression model to predict readmission using the YNHRRS, functional status, and social support as covariates. RESULTS: Among 270 discharges with pneumonia, the observed readmission rate was 23%. The YNHRRS was a significant predictor of readmission in our multivariate model, with an odds ratio of 2.20 (95% confidence interval, 1.29-3.73) for each 10% increase in calculated risk. Indicators of functional status and social support were not significant predictors of readmission. CONCLUSIONS: The YNHRRS can be applied to an unselected population as a tool to predict patients with pneumonia at risk for readmission.


Assuntos
Atividades Cotidianas , Readmissão do Paciente/estatística & dados numéricos , Pneumonia/epidemiologia , Instituições de Cuidados Especializados de Enfermagem/normas , Apoio Social , Centros Médicos Acadêmicos/estatística & dados numéricos , Distribuição por Idade , Idoso , Idoso de 80 Anos ou mais , Comorbidade , Feminino , Hospitalização/estatística & dados numéricos , Humanos , Modelos Logísticos , Masculino , Valor Preditivo dos Testes , Estudos Retrospectivos , Medição de Risco , Distribuição por Sexo , Instituições de Cuidados Especializados de Enfermagem/estatística & dados numéricos , Estados Unidos
5.
J Gen Intern Med ; 27(7): 825-30, 2012 Jul.
Artigo em Inglês | MEDLINE | ID: mdl-22331399

RESUMO

BACKGROUND: Physicians may counsel patients who leave against medical advice (AMA) that insurance will not pay for their care. However, it is unclear whether insurers deny payment for hospitalization in these cases. OBJECTIVE: To review whether insurers denied payment for patients discharged AMA and assess physician beliefs and counseling practices when patients leave AMA. DESIGN: Retrospective cohort of medical inpatients from 2001 to 2010; cross-sectional survey of physician beliefs and counseling practices for AMA patients in 2010. PARTICIPANTS: Patients who left AMA from 2001 to 2010, internal medicine residents and attendings at a single academic institution, and a convenience sample of residents from 13 Illinois hospitals in June 2010. MAIN MEASURES: Percent of AMA patients for which insurance denied payment, percent of physicians who agreed insurance denies payment for patients who leave AMA and who counsel patients leaving AMA they are financially responsible. KEY RESULTS: Of 46,319 patients admitted from 2001 to 2010, 526 (1.1%) patients left AMA. Among insured patients, payment was refused in 4.1% of cases. Reasons for refusal were largely administrative (wrong name, etc.). No cases of payment refusal were because patient left AMA. Nevertheless, most residents (68.6%) and nearly half of attendings (43.9%) believed insurance denies payment when a patient leaves AMA. Attendings who believed that insurance denied payment were more likely to report informing AMA patients they may be held financially responsible (mean 4.2 vs. 1.7 on a Likert 1-5 scale, in which 5 is "always" inform, p < 0.001). This relationship was not observed among residents. The most common reason for counseling patients was "so they will reconsider staying in the hospital" (84.8% residents, 66.7% attendings, p = 0.008) CONCLUSIONS: Contrary to popular belief, we found no evidence that insurance denied payment for patients leaving AMA. Residency programs and hospitals should ensure that patients are not misinformed.


Assuntos
Reembolso de Seguro de Saúde/estatística & dados numéricos , Alta do Paciente/economia , Recusa do Paciente ao Tratamento/estatística & dados numéricos , Adulto , Atitude do Pessoal de Saúde , Aconselhamento Diretivo , Feminino , Preços Hospitalares/estatística & dados numéricos , Hospitalização , Humanos , Illinois , Seguro Saúde/estatística & dados numéricos , Tempo de Internação/estatística & dados numéricos , Masculino , Corpo Clínico Hospitalar/psicologia , Pessoa de Meia-Idade , Crédito e Cobrança de Pacientes/estatística & dados numéricos , Alta do Paciente/estatística & dados numéricos , Estudos Retrospectivos
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