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OBJECTIVE: To analyze the characteristics of public health services related to radical prostatectomy, according to hospital volume of surgeries and stratified as academic and non-academic centers. METHODS: An ecological study was conducted using a database available in TabNet platform of the Unified Health System Department of Informatics. Number of surgeries, length of hospital stay, length of stay in intensive care unit, in-hospital mortality rate, and cost of hospitalization were evaluated. The hospitals were divided into three subgroups according to surgery volume (tercile), and results were compared. The same comparisons were made among academic and non-academic centers. We considered academic centers those providing Urology residency program. RESULTS: A total of 11,259 radical prostatectomies were performed in the city of São Paulo between 2008 and 2018. We observed a significant trend of increase in radical prostatectomies for treating prostate cancer over the years (p=0.007). The length of stay in intensive care unit, and number of deaths were not statistically different among centers with diverse surgery volume, nor between academic and non-academic centers. However, length of hospital stay was significantly shorter in academic centers (p=0.043), while cost of hospitalization was significantly higher in high-volume center compared to low- (p<0.001) and intermediate-volume centers (p<0.001). CONCLUSION: Length of hospital stay for radical prostatectomies performed in public services in the city of São Paulo was shorter in academic centers, whereas hospitals with a high volume of surgeries showed greater cost of hospitalization.
Subject(s)
Prostatic Neoplasms , United States , Humans , Male , Brazil/epidemiology , Prostatic Neoplasms/surgery , Health ServicesABSTRACT
ABSTRACT Objective To analyze the characteristics of public health services related to radical prostatectomy, according to hospital volume of surgeries and stratified as academic and non-academic centers. Methods An ecological study was conducted using a database available in TabNet platform of the Unified Health System Department of Informatics. Number of surgeries, length of hospital stay, length of stay in intensive care unit, in-hospital mortality rate, and cost of hospitalization were evaluated. The hospitals were divided into three subgroups according to surgery volume (tercile), and results were compared. The same comparisons were made among academic and non-academic centers. We considered academic centers those providing Urology residency program. Results A total of 11,259 radical prostatectomies were performed in the city of São Paulo between 2008 and 2018. We observed a significant trend of increase in radical prostatectomies for treating prostate cancer over the years (p=0.007). The length of stay in intensive care unit, and number of deaths were not statistically different among centers with diverse surgery volume, nor between academic and non-academic centers. However, length of hospital stay was significantly shorter in academic centers (p=0.043), while cost of hospitalization was significantly higher in high-volume center compared to low- (p<0.001) and intermediate-volume centers (p<0.001). Conclusion Length of hospital stay for radical prostatectomies performed in public services in the city of São Paulo was shorter in academic centers, whereas hospitals with a high volume of surgeries showed greater cost of hospitalization.
ABSTRACT
OBJETIVO: as cidades inteligentes estão surgindo mediante a necessidade de otimização de recursos e ampliação do bem-estar dos seus habitantes. Atualmente não existem dados claros sobre como comparar cidades inteligentes com base em indicadores que utilizem dados públicos, principalmente na área de Saúde. MÉTODO: este trabalho propõe a utilização de indicadores de IDH para comparar estatisticamente e agrupar cidades com semelhança de indicadores, e assim, oferecer aos seus gestores, a possibilidade de adotar estratégias de gestão baseadas em visualização de dados dispostos em dendrogramas. RESULTADO: foram realizados cálculos com a utilização de uma ferramenta estatística embases de dados públicas para obter dendrogramas de dados. CONCLUSÃO: o agrupamento de cidades por semelhança de indicadores se mostrou promissor para comparar e medir cidades com semelhantes características.
OBJECTIVE: Smart cities are emerging by the need to optimize resources and expansion of the welfare of its inhabitants. Currently there are no clear data on how to compare smart cities based on indicators using public data, especially in the health area. METHOD: this paper proposes the use of HDI indicators to compare statistically and grouptowns with similar indicators, and thus, offer its managers, the possibility of adopting management strategies based on data visualization arranged in dendrograms. RESULT: Calculations were performed using a statistical tool in public databases for dendrograms data. CONCLUSION: the grouping of cities by similarity indicators showed promise to compareand measure cities with similar characteristics.
Subject(s)
Humans , Healthy City , Indicators (Statistics) , Data Mining , Socioeconomic Factors , Congresses as Topic , Databases as TopicABSTRACT
The term definition "Smart City" still allows various interpretations, and this causes some difficulty in establishing parameters to measure how smart the cities can be. This paper presents a Maturity Model that uses a set of minimum domains and indicators that aim to encourage cities of different sizes to identify their potential and improve processes and public policies.
Subject(s)
City Planning , Public Health/standards , Brazil , Cities/statistics & numerical data , City Planning/standards , City Planning/statistics & numerical data , Humans , Public Health/methods , Quality Indicators, Health CareABSTRACT
STING Millennium Suite (SMS) is a new web-based suite of programs and databases providing visualization and a complex analysis of molecular sequence and structure for the data deposited at the Protein Data Bank (PDB). SMS operates with a collection of both publicly available data (PDB, HSSP, Prosite) and its own data (contacts, interface contacts, surface accessibility). Biologists find SMS useful because it provides a variety of algorithms and validated data, wrapped-up in a user friendly web interface. Using SMS it is now possible to analyze sequence to structure relationships, the quality of the structure, nature and volume of atomic contacts of intra and inter chain type, relative conservation of amino acids at the specific sequence position based on multiple sequence alignment, indications of folding essential residue (FER) based on the relationship of the residue conservation to the intra-chain contacts and Calpha-Calpha and Cbeta-Cbeta distance geometry. Specific emphasis in SMS is given to interface forming residues (IFR)-amino acids that define the interactive portion of the protein surfaces. SMS may simultaneously display and analyze previously superimposed structures. PDB updates trigger SMS updates in a synchronized fashion. SMS is freely accessible for public data at http://www.cbi.cnptia.embrapa.br, http://mirrors.rcsb.org/SMS and http://trantor.bioc.columbia.edu/SMS.
