Automated Author ProfileUnger, Roberto José Gervásio
Unger, Roberto José Gervásio
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: 0.7 (sum of 2 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
Abstract Objective: This article aims to review the literature regarding the use of technologies to promote mental health for pregnant women. We seek to: understand the strategies that pregnant women use for mental health care. Also, we investigate the existence of scientific evidence that validates such practices. Methods: This study follows the PRISMA guidelines for systematic reviews. We analyze 27 studies published between 2012 and 2019. We include publications in Portuguese, English, and Spanish. Results: The results revealed several different possibilities to use technology, including the use of text messages and mobile applications on smartphones. Mobile applications are the most commonly used approaches (22.5%). Regarding the strategies used, cognitive-behavioral approaches, including mood checks, relaxation exercises, and psychoeducation comprised 44.12% of the content. Conclusion: There is a need for further investigation and research and development efforts in this field to better understand the possibilities of intervention in mental health in the digital age.
Authors
- Carvalho, Laís Lage de ;
- Teixeira, Júlia Magna da Silva ;
- Unger, Roberto José Gervásio ;
- Motti, Vivian Genaro ;
- Lovisi, Giovanni Marcos ;
- Grincenkov, Fabiane Rossi dos Santos
Abstract Objective: This article aims to review the literature regarding the use of technologies to promote mental health for pregnant women. We seek to: understand the strategies that pregnant women use for mental health care. Also, we investigate the existence of scientific evidence that validates such practices. Methods: This study follows the PRISMA guidelines for systematic reviews. We analyze 27 studies published between 2012 and 2019. We include publications in Portuguese, English, and Spanish. Results: The results revealed several different possibilities to use technology, including the use of text messages and mobile applications on smartphones. Mobile applications are the most commonly used approaches (22.5%). Regarding the strategies used, cognitive-behavioral approaches, including mood checks, relaxation exercises, and psychoeducation comprised 44.12% of the content. Conclusion: There is a need for further investigation and research and development efforts in this field to better understand the possibilities of intervention in mental health in the digital age.
Authors
- Carvalho, Laís Lage de ;
- Teixeira, Júlia Magna da Silva ;
- Unger, Roberto José Gervásio ;
- Motti, Vivian Genaro ;
- Lovisi, Giovanni Marcos ;
- Grincenkov, Fabiane Rossi dos Santos