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1.
J Oncol Pract ; 15(6): e560-e567, 2019 06.
Artigo em Inglês | MEDLINE | ID: mdl-31009283

RESUMO

PURPOSE: To determine which factors influence cost in head and neck cancer (HNC) to inform the development of a bundled payment model (BPM). METHODS: Patients with stages 0 to IVB (by American Joint Commission on Cancer, 7th edition) HNC of various sites and histology treated definitively at a single tertiary care center during 2013 were included. Clinical variables and direct cost data were obtained, and their associations were investigated using χ2, t, Wilcoxon rank sum, and analysis of variance testing. Results were used to develop a BPM. RESULTS: One hundred fifty patients were included; 87% were white, 74% were men, 48% had oropharyngeal cancer, and 58% had stage IVA disease. Treatment consisted of surgery alone (17%), radiation alone (11%), surgery plus radiation (14%), chemoradiation (45%), and surgery plus chemoradiation (13%). On multivariable analysis, both increasing group stage and number of treatment modalities used were significantly associated with higher cost. Given that stage often dictates treatment, we developed three cost tiers that were based on overall treatment modality. Tier A, the least costly, consisted of single-modality therapy with either surgery alone or radiation alone (median cost divided by the median overall cost of treatment, 0.54; 25th to 75th percentile range, 0.29 to 1.02), followed by tier B, which consisted of bimodality therapy with either chemoradiation or surgery plus radiation (1.03; range, 0.81 to 1.35), followed by tier C, which consisted of trimodality therapy with surgery plus chemoradiation (1.43; range, 1.10 to 1.96). CONCLUSION: The number of treatment modalities required is the primary driver of cost in HNC. These data can simplify development of a comprehensive HNC BPM.


Assuntos
Neoplasias de Cabeça e Pescoço/economia , Neoplasias de Cabeça e Pescoço/terapia , Custos de Cuidados de Saúde/estatística & dados numéricos , Pacotes de Assistência ao Paciente/economia , Adulto , Idoso , Idoso de 80 Anos ou mais , Quimiorradioterapia/economia , Quimiorradioterapia/métodos , Terapia Combinada , Feminino , Cirurgia Geral/economia , Cirurgia Geral/métodos , Neoplasias de Cabeça e Pescoço/patologia , Humanos , Masculino , Pessoa de Meia-Idade , Radioterapia/economia , Radioterapia/métodos , Estados Unidos
2.
Biol Blood Marrow Transplant ; 22(6): 1141-1144, 2016 06.
Artigo em Inglês | MEDLINE | ID: mdl-26995694

RESUMO

Autologous hematopoietic cell transplantation (AHCT) is standard therapy for eligible patients with multiple myeloma. Health care disparities can influence transplantation outcomes. However, the association of socioeconomic status (SES), a major indicator of health care disparities, with outcomes in patients with myeloma after AHCT has not been previously described. We analyzed 346 consecutive AHCT recipients with myeloma who underwent transplantation between 2003 and 2013 in this retrospective cohort study. Zip code of residence at the time of AHCT was obtained to assess annual household income based on 2010 US census data (median, $49,054; range, $16,546 to $127,313). SES groups were divided into < $45,000 (low; n = 120), $45,000 to $60,000 (middle; n = 116), and > $60,000 (high; n = 110). The low-income cohort had smallest portion of Caucasians (69% versus 89% versus 91%); otherwise, patient, disease, and transplantation characteristics were comparable among cohorts or different without significant patterns found. Median follow-up was 49 months. There was no difference among SES groups in overall survival, progression-free survival, nonrelapse mortality, or relapse in univariate and multivariable analysis. Similarly, SES was not associated with survival in a subset analysis of 303 patients who had survived for 1 year after transplantation.


Assuntos
Transplante de Células-Tronco Hematopoéticas/normas , Mieloma Múltiplo/terapia , Classe Social , Adulto , Idoso , Estudos de Coortes , Atenção à Saúde/economia , Atenção à Saúde/etnologia , Feminino , Transplante de Células-Tronco Hematopoéticas/etnologia , Transplante de Células-Tronco Hematopoéticas/mortalidade , Humanos , Renda , Masculino , Pessoa de Meia-Idade , Mieloma Múltiplo/mortalidade , Recidiva , Estudos Retrospectivos , Análise de Sobrevida , Transplante Autólogo , Resultado do Tratamento , Adulto Jovem
3.
Blood ; 104(2): 579-85, 2004 Jul 15.
Artigo em Inglês | MEDLINE | ID: mdl-15039286

RESUMO

Bone marrow transplantation (BMT) can cure myelodysplastic syndrome (MDS), although transplantation carries significant risks of morbidity and mortality. Because the optimal timing of HLA-matched BMT for MDS is unknown, we constructed a Markov model to examine 3 transplantation strategies for newly diagnosed MDS: transplantation at diagnosis, transplantation at leukemic progression, and transplantation at an interval from diagnosis but prior to leukemic progression. Analyses using individual patient risk-assessment data from transplantation and nontransplantation registries were performed for all 4 International Prognostic Scoring System (IPSS) risk groups with adjustments for quality of life (QoL). For low and intermediate-1 IPSS groups, delayed transplantation maximized overall survival. Transplantation prior to leukemic transformation was associated with a greater number of life years than transplantation at the time of leukemic progression. In a cohort of patients under the age of 40 years, an even more marked survival advantage for delayed transplantation was noted. For intermediate-2 and high IPSS groups, transplantation at diagnosis maximized overall survival. No changes in the optimal transplantation strategies were noted when QoL adjustments were incorporated. For low- and intermediate-1-risk MDS, delayed BMT is associated with maximal life expectancy, whereas immediate transplantation for intermediate-2- and high-risk disease is associated with maximal life expectancy.


Assuntos
Transplante de Medula Óssea/mortalidade , Técnicas de Apoio para a Decisão , Síndromes Mielodisplásicas/mortalidade , Síndromes Mielodisplásicas/terapia , Adolescente , Adulto , Feminino , Humanos , Masculino , Cadeias de Markov , Pessoa de Meia-Idade , Fatores de Risco , Análise de Sobrevida , Resultado do Tratamento
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