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1.
Sci Rep ; 14(1): 13607, 2024 06 13.
Artigo em Inglês | MEDLINE | ID: mdl-38871878

RESUMO

Fair allocation of funding in multi-centre clinical studies is challenging. Models commonly used in Germany - the case fees ("fixed-rate model", FRM) and up-front staffing and consumables ("up-front allocation model", UFAM) lack transparency and fail to suitably accommodate variations in centre performance. We developed a performance-based reimbursement model (PBRM) with automated calculation of conducted activities and applied it to the cohorts of the National Pandemic Cohort Network (NAPKON) within the Network of University Medicine (NUM). The study protocol activities, which were derived from data management systems, underwent validation through standardized quality checks by multiple stakeholders. The PBRM output (first funding period) was compared among centres and cohorts, and the cost-efficiency of the models was evaluated. Cases per centre varied from one to 164. The mean case reimbursement differed among the cohorts (1173.21€ [95% CI 645.68-1700.73] to 3863.43€ [95% CI 1468.89-6257.96]) and centres and mostly fell short of the expected amount. Model comparisons revealed higher cost-efficiency of the PBRM compared to FRM and UFAM, especially for low recruitment outliers. In conclusion, we have developed a reimbursement model that is transparent, accurate, and flexible. In multi-centre collaborations where heterogeneity between centres is expected, a PBRM could be used as a model to address performance discrepancies.Trial registration: https://clinicaltrials.gov/ct2/show/NCT04768998 ; https://clinicaltrials.gov/ct2/show/NCT04747366 ; https://clinicaltrials.gov/ct2/show/NCT04679584 .


Assuntos
Análise Custo-Benefício , Humanos , Alemanha , Mecanismo de Reembolso , Estudos de Coortes , COVID-19/epidemiologia , COVID-19/economia
2.
Semin Arthritis Rheum ; 51(1): 324-330, 2021 02.
Artigo em Inglês | MEDLINE | ID: mdl-33465591

RESUMO

OBJECTIVE: To identify risk-factors for 30-day hospital readmission in systemic sclerosis pulmonary hypertension (SSc-PH) and to compare trends and characteristics of 30-day readmissions in SSc-PH versus non-SSc pulmonary arterial hypertension (non-SSc PAH). METHODS: In this retrospective study, we identified SSc-PH and non-SSc PAH hospitalizations using ICD-9 codes within the Healthcare Cost and Utilization Project-National Readmission Database. Thirty-day readmission rates were calculated between 2010 and 2015. Characteristics were compared using chi-square, Wilcoxon rank-sum, or two-sample t-tests between (A) SSc-PH patients with versus without readmission and (B) patients with ≥1 readmission with SSc-PH versus non-SSc PAH. Adjusted logistic regression models were generated for readmission in SSc-PH. RESULTS: 4,846 of 22,420 (22%) with SSc-PH and 10,573 of 49,254 (21%) with non-SSc PAH had ≥1 30-day readmission. Between 2010-2015, readmission rate decreased in non-SSc PAH (23% to 20%; p<0.001) and was unchanged in SSc-PH (23% to 23%; p = 0.77). In SSc-PH, independent predictors of 30-day readmission include male sex, age <60, Medicare or Medicaid, higher Charlson/Deyo comorbidity index, and congestive heart failure (CHF). A higher proportion of patients with SSc-PH (vs. non-SSc PAH) died during index hospitalizations (p = 0.001) and readmissions (p <0.001). Readmitted patients with SSc-PH (vs. non-SSc PAH) were younger and less often had CHF. In SSc-PH, the most common readmission primary diagnosis was infection, followed by respiratory and heart failure. CONCLUSION: In SSc-PH, 30-day readmission is frequent, and in-hospital deaths occur at a higher rate compared to those with non-SSc PAH. This study identifies factors that may characterize those with SSc-PH at highest risk for readmission.


Assuntos
Hipertensão Pulmonar , Escleroderma Sistêmico , Idoso , Humanos , Hipertensão Pulmonar/epidemiologia , Masculino , Medicare , Readmissão do Paciente , Estudos Retrospectivos , Escleroderma Sistêmico/complicações , Estados Unidos
3.
Circ Heart Fail ; 13(9): e007516, 2020 09.
Artigo em Inglês | MEDLINE | ID: mdl-32894988

RESUMO

The coronavirus disease 2019 (COVID-19) pandemic imposed severe restrictions on traditional methods of patient care. During the pandemic, the heart failure program at New York-Presbyterian Hospital in New York, NY rapidly and comprehensively transitioned its care delivery model and administrative organization to conform to a new healthcare environment while still providing high-quality care to a large cohort of patients with heart failure, heart transplantation, and left ventricular assist device. In addition to the widespread adoption of telehealth, our program restructured outpatient care, initiating a shared clinic model and introducing a comprehensive remote monitoring program to manage patients with heart failure and heart transplant. All conferences, including administrative meetings, support groups, and educational seminars were converted to teleconferencing platforms. Following the peak of COVID-19, many of the new changes have been maintained, and the program structure will be permanently altered as a lasting effect of this pandemic. In this article, we review the details of our program's transition in the face of COVID-19 and highlight the programmatic changes that will endure.


Assuntos
Cardiologia/organização & administração , Infecções por Coronavirus/epidemiologia , Atenção à Saúde/organização & administração , Insuficiência Cardíaca/terapia , Pneumonia Viral/epidemiologia , Telemedicina/organização & administração , Planejamento Antecipado de Cuidados , Assistência Ambulatorial/organização & administração , Betacoronavirus , COVID-19 , Transplante de Coração , Coração Auxiliar , Humanos , Cidade de Nova Iorque/epidemiologia , Profissionais de Enfermagem , Pandemias , Médicos , Papel Profissional , SARS-CoV-2 , Grupos de Autoajuda , Telecomunicações , Centros de Atenção Terciária/organização & administração , Comunicação por Videoconferência
4.
Am J Med ; 129(6): 635.e15-26, 2016 06.
Artigo em Inglês | MEDLINE | ID: mdl-27215991

RESUMO

BACKGROUND: Hospitalizations for heart failure with preserved ejection fraction (HFpEF) are increasing. There are limited data examining national trends in patients hospitalized with HFpEF. METHODS: Using the Nationwide Inpatient Sample, we examined 5,046,879 hospitalizations with a diagnosis of acute heart failure in 2003-2012, stratifying hospitalizations by HFpEF and heart failure with reduced ejection fraction (HFrEF). Patient and hospital characteristics, in-hospital mortality, and length of stay were examined. RESULTS: Compared with HFrEF, those with HFpEF were older, more commonly female, and more likely to have hypertension, atrial fibrillation, chronic lung disease, chronic renal failure, and anemia. Over time, HFpEF comprised increasing proportions of men and patients aged ≥75 years. In-hospital mortality rate for HFpEF decreased by 13%, largely due to improved survival in those aged ≥65 years. Multivariable regression analyses showed that pulmonary circulation disorders, liver disease, and chronic renal failure were independent predictors of in-hospital mortality, whereas treatable diseases including hypertension, coronary artery disease, and diabetes were inversely associated. CONCLUSIONS: This study represents the largest cohort of patients hospitalized with HFpEF to date, yielding the following observations: number of hospitalizations for HFpEF was comparable with that of HFrEF; patients with HFpEF were most often women and elderly, with a high burden of comorbidities; outcomes appeared improved among a subset of patients; pulmonary hypertension, liver disease, and chronic renal failure were strongly associated with poor outcomes.


Assuntos
Insuficiência Cardíaca/epidemiologia , Mortalidade Hospitalar/tendências , Hospitalização/estatística & dados numéricos , Seguro Saúde/classificação , Alta do Paciente/estatística & dados numéricos , Volume Sistólico/fisiologia , Doença Aguda , Adolescente , Adulto , Distribuição por Idade , Idoso , Comorbidade , Feminino , Hospitalização/tendências , Humanos , Tempo de Internação , Masculino , Pessoa de Meia-Idade , Avaliação de Resultados em Cuidados de Saúde/estatística & dados numéricos , Análise de Regressão , Distribuição por Sexo , Estados Unidos/epidemiologia , Adulto Jovem
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