Automated Author ProfileLeal, Eliane Maria Medeiros
Leal, Eliane Maria Medeiros
Current S-Index
Sum of Dataset Indices for all datasets
Average Dataset Index per Dataset
Average Dataset Index per dataset
Total Datasets
Total datasets for this author
Average FAIR Score
Average FAIR Score per dataset
Total Citations
Total citations to the author's datasets
Total Mentions
Total mentions of the author's datasets
S-Index Interpretation
The S-Index (Sharing Index) is a comprehensive metric that represents the cumulative impact of all your datasets. It is calculated as the sum of Dataset Index scores across all your claimed datasets.
What it means:
- A higher S-index indicates greater overall impact of your datasets relative to typical datasets in their fields of research
- The S-Index grows as you add more datasets or as existing datasets gain more citations and mentions
- It provides a single number to track your research data impact over time
Current S-Index: 2.4 (sum of 4 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
ABSTRACT It is a fundamental requirement of governments that they allocate resources to public services among institutions or populations that are potential competitors for funding. In Brazil, a country with clear social inequalities, equitable allocation of resources in the Unified Health System (SUS) poses a particular challenge. The present study proposes an individual-level matrix model for allocating health resources in the SUS based on data from the National Health Survey (PNS) 2013. This model is founded on a matrix of the following variables: age, sex, education, employment and income and the relationships between them. A morbidity score is used to estimate weights for each category. This model provides an opportunity for managers to use objective methods to provide a clear guide for decision-making in accordance with principles laid down in Brazilian law and in a manner based on health needs and epidemiological and demographic factors, in addition to the capacity to offer services.
Authors
- Garibaldi Dantas Gurgel Júnior ;
- Leal, Eliane Maria Medeiros ;
- Sydia Rosana De Araújo Oliveira ;
- Santos, Francisco De Assis Da Silva ;
- Islândia Maria Carvalho De Sousa ;
- Diderichsen, Finn
ABSTRACT It is a fundamental requirement of governments that they allocate resources to public services among institutions or populations that are potential competitors for funding. In Brazil, a country with clear social inequalities, equitable allocation of resources in the Unified Health System (SUS) poses a particular challenge. The present study proposes an individual-level matrix model for allocating health resources in the SUS based on data from the National Health Survey (PNS) 2013. This model is founded on a matrix of the following variables: age, sex, education, employment and income and the relationships between them. A morbidity score is used to estimate weights for each category. This model provides an opportunity for managers to use objective methods to provide a clear guide for decision-making in accordance with principles laid down in Brazilian law and in a manner based on health needs and epidemiological and demographic factors, in addition to the capacity to offer services.
Authors
- Garibaldi Dantas Gurgel Júnior ;
- Leal, Eliane Maria Medeiros ;
- Sydia Rosana De Araújo Oliveira ;
- Santos, Francisco De Assis Da Silva ;
- Islândia Maria Carvalho De Sousa ;
- Diderichsen, Finn
Abstract Objective: to describe the distribution of available mammograms in the Sistema Único de Saúde (SUS) (Public Health Care System) and the mammography offering were carried out by this system, throughout the health regions in Pernambuco State, and compared them with the parametric care recommended by the Ministry of Health. Methods: this is a descriptive cross-sectional study that used secondary mammograms data in December 2016 by the Cadastro Nacional de Estabelecimentos de Saúde (National Registy on Health Establishments); and about mammography performed at SUS in 2016 by the Sistema de Informação Ambulatorial (Ambulatory Information System). The parametric care document No. 1.631/2015 was used as a comparability standard in relation to the distribution of the equipment and the mammography offering. Results: Pernambuco State presented approximately the double amount of mammograms and mammography was performed about 46% below the recommended parameter used in this study. All the health regions presented sufficient quantity of mammograms. However, the use of the installed capacity was less than 50% in all the health regions in the state. Conclusions: this study shows the need for a better use of the installed capacity for mammograms in Pernambuco State taken by the insufficient mammography offering and the poor distribution of the equipment in its territory.
Authors
- Silva, Maria Tatiane Alves Da ;
- Valdecir Barbosa Da Silva Júnior ;
- Jorgiana De Oliveira Mangueira ;
- Garibaldi Dantas Gurgel Junior ;
- Leal, Eliane Maria Medeiros
Abstract Objective: to describe the distribution of available mammograms in the Sistema Único de Saúde (SUS) (Public Health Care System) and the mammography offering were carried out by this system, throughout the health regions in Pernambuco State, and compared them with the parametric care recommended by the Ministry of Health. Methods: this is a descriptive cross-sectional study that used secondary mammograms data in December 2016 by the Cadastro Nacional de Estabelecimentos de Saúde (National Registy on Health Establishments); and about mammography performed at SUS in 2016 by the Sistema de Informação Ambulatorial (Ambulatory Information System). The parametric care document No. 1.631/2015 was used as a comparability standard in relation to the distribution of the equipment and the mammography offering. Results: Pernambuco State presented approximately the double amount of mammograms and mammography was performed about 46% below the recommended parameter used in this study. All the health regions presented sufficient quantity of mammograms. However, the use of the installed capacity was less than 50% in all the health regions in the state. Conclusions: this study shows the need for a better use of the installed capacity for mammograms in Pernambuco State taken by the insufficient mammography offering and the poor distribution of the equipment in its territory.
Authors
- Silva, Maria Tatiane Alves Da ;
- Valdecir Barbosa Da Silva Júnior ;
- Jorgiana De Oliveira Mangueira ;
- Garibaldi Dantas Gurgel Junior ;
- Leal, Eliane Maria Medeiros