Open datasets · Harvard Dataverse
Usability of the Menopausando Digital Platform: Menopause Health Education and attitudes
Published 2026-03-04 · Harvard Dataverse
Where it sits
left: what it builds on · right: what builds on it · pale: exampleContributed by Isabel Cristina Esposito Sorpreso, Aline Evangelista Santiago
How studies reach it
No published study reaches it yet.
Disciplines it reaches
No study reaches it yet.
Solid: published studies. Light: examples.
Computed from the records on this site: what each study, template and specialist names as used, which study extends which, and who contributed what. 0 studies in total.
About this dataset
This dataset contains the data used in the study "Evaluation of usability and the impact of the digital platform Menopausando in health education for women in menopausal transition and postmenopause". The aim of the study was to evaluate the usability of the Menopausando digital platform and analyze its impact on knowledge about menopausal symptoms, quality of life, and physical activity among women aged 40 years and older. Data were collected between 2024 and 2025 from women recruited at CSE Paula Souza and ICHC-FMUSP. The dataset includes sociodemographic and clinical information, as well as …
Collection: Harvard Dataverse
Use it in a run
Download the files into your project's data/ folder and start a template. The data stay on your machine; the published research records the DOI, so the authors are credited.
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Cite
@dataset{sorpreso2026,
title = {Usability of the Menopausando Digital Platform: Menopause Health Education and attitudes},
author = {Sorpreso, Isabel Cristina Esposito and Santiago, Aline Evangelista},
year = {2026},
publisher = {Harvard Dataverse},
doi = {10.7910/DVN/LT5V4L},
url = {https://doi.org/10.7910/DVN/LT5V4L}
} Research that uses it
No published research on E2ER uses this dataset yet.
Description
Data model- Discipline
- BiomedicalInformation systems
- Method family
- Empirical (quantitative)
- Design
- not specified
- Research stage
- Data acquisition
- Contributors
- Isabel Cristina Esposito Sorpreso (Data curation); Aline Evangelista Santiago (Data curation)
- Usage
- not used in published research yet
- Source
- Harvard Dataverse · Harvard Dataverse
- Record
- dataset:dataverse/10-7910-dvn-lt5v4l · JSON
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