Factors that Influence Treatment Delay for Patients with Breast Cancer.
Обработка статьи · этапы, ошибки и управление
Ошибки и ограничения
История · было → стало
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Padilla-Ruiz María, Zarcos-Pedrinaci Irene, Rivas-Ruiz Francisco, Téllez Teresa, García-Gutiérrez Susana, González Nerea, Rivero Amado, Sarasqueta Cristina, Serrano-Aguilar Pedro, Castells Xavier, Quintana José María, Sala María, Redondo Maximino, REDISSEC-CaMISS Group, Castells Xavier, Comas Mercè, Domingo Laia, Macià Francesc, Roman Marta, Romero Anabel, Sala María, Barata Teresa, de la Lastra Isabel Diez, de la Vega Mariola, Bare Marisa, Torà Núria, Ferrer Joana, Castanyer Francesc, Carmona Carmen, García Susana, Martín Maximina, González Nerea, Orive Miren, Valverde María Amparo, Saez Alberto, Barredo Inma, de Toro Manuel, Ferreiro Josefa, Quintana Jose María, Pérez Jeanette, Rivero Amado, Valcárcel Cristina, Padilla María, Redondo Maximino, Téllez Teresa, Zarcos Irene, Churruca Cristina, Perales Amaia, Recio Javier, Ruiz Irune, Sarasqueta Cristina, Urraca Jose María, Michelena Ma Jesús, Moreno Julio, Mallabiabarrena Gaizka, Cobos Patricia, Otero Borja, Gorostiaga Javier, Troya Itsaso
Аннотация
METHODS: This observational, prospective, multicentre study was conducted in ten hospitals belonging to the Spanish national public health system, located in four Autonomous Communities (regions). The study included 1236 patients, diagnosed through a screening programme or found to be symptomatic, between April 2013 and May 2015. The study variables analysed included each patient's personal history, care situation, tumour history and data on the surgical intervention, pathological anatomy, hospital admission and follow-up. Treatment delay was defined as more than 30 days elapsed between biopsy and surgery.
RESULTS: Over half of the study population experienced surgical treatment delay. This delay was greater for patients with no formal education and among widows, persons not requiring assistance for usual activities, those experiencing anxiety or depression, those who had a high BMI or an above-average number of comorbidities, those who were symptomatic, who did not receive NMR spectroscopy, who presented a histology other than infiltrating ductal carcinoma or who had poorly differentiated carcinomas.
CONCLUSIONS: Certain sociodemographic and clinical variables are associated with surgical treatment delay. This study identifies factors that influence surgical delays, highlighting the importance of preventing these factors and of raising awareness among the population at risk and among health personnel.