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Dataset results
413 results for “mobile health”
Dataset: Mobile-health Network Solutions (MNDR) Stock Performance
This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.
Dataset of the publication "Cross-sectional study of prevalence of dementia, behavioural symptoms, mobility, pain and other health parameters in nursing homes in Austria and the Czech Republic: results from the DEMDATA project"
<p>Dataset of the publication Stefanie R. Auer , Margit Höfler, Elisabeth Linsmayer, Anna Beránková, Doris Prieschl, Paulina Ratajczak,<br> Michal Šteffl and Iva Holmerová (2018) "Cross-sectional study of prevalence of dementia, behavioural symptoms, mobility, pain and other health parameters in nursing homes in Austria and the Czech Republic: results from the DEMDATA project"</p>
Mobile for Mothers: a randomized quasi-controlled mobile health intervention to augment maternal health awareness and behavior of pregnant women in tribal societies.
<p>The files contain anonymized raw baseline and end-line data. Anyone using the data must cite the original studies given in the references</p>
Data from: A village doctor-led mobile health intervention for cardiovascular risk reduction in rural China: cluster randomised controlled trial
Open the record for dataset details and reuse information.
Black American women's attitudes toward seeking mental health services and use of mobile technology to support the management of anxiety
<p><strong>Objective</strong>: This study aimed to understand Black American women's attitudes toward seeking mental health services and using mobile technology to receive support for managing anxiety.</p> <p><strong>Methods</strong>: A self-administered web-based questionnaire was launched in October 2019 and closed in January 2020. Women who identify as Black/African American were eligible to participate. The survey consisted of approximately 70 questions and covered topics such as attitudes toward seeking professional psychological help, acceptability of using a mobile phone to receive mental health care, and screening for anxiety.</p> <p><strong>Results</strong>: The findings of the study (N=395) showed that younger Black women were more likely to have greater severity of anxiety than their older counterparts. Respondents were most comfortable with the use of a voice call or video call to communicate with a professional to receive support to manage anxiety in comparison to text messaging or mobile app. Younger age, higher income, and greater scores for psychological openness and help-seeking propensity increased the odds of indicating agreement with using mobile technology to communicate with a professional. Black women in the South region of the U.S. had twice the odds of agreeing to the use of mobile apps than women in the Midwest and Northeast regions.</p> <p><strong>Discussion</strong>: Black American women, in general, have favorable views toward the use of mobile technology to receive support to manage anxiety.</p> <p><strong>Conclusion</strong>: Preferences and cultural appropriateness of resources should be assessed on an individual basis to increase the likelihood of adoption of and engagement with digital mental health interventions for management of anxiety. </p>
The workload of manual data entry for integration between mobile health applications and eHealth infrastructure
<div> <p>In this study, we conducted a time-motion study observing healthcare workers (HCWs) completing data management activities including monitoring and evaluation (M&E) and manual data linkage of individual-level app data to electronic medical records (EMRS). This study served as a baseline study for an open-source app to mirror EMRS and reduce HCW workload while improving care in the Nurse-led Community-based Antiretroviral therapy Program (NCAP) in Lilongwe, Malawi.</p> </div>
Supporting data for "Taking connected mobile-health diagnostics of infectious diseases to the field"
<p>Raw and intermediate data used to create figures 1 and 4 of Wood, C.,<em> et al., "</em>Taking connected mobile-health diagnostics of infectious diseases to the field", <strong>Nature</strong> (2019).</p>
Mobile WACh NEO: Mobile Solutions for Neonatal Health and Maternal Support
ClinicalTrials.gov study NCT04598165. IPD Sharing: YES. Countries: 1. Publications: 2.
Mobile Health and COVID-19
ClinicalTrials.gov study NCT05074693. IPD Sharing: Not stated. Countries: 1. Publications: 2.
An Avatar-based Mobile Phone Intervention to Promote Health in African American MSM
ClinicalTrials.gov study NCT04217174. IPD Sharing: YES. Countries: 1. Publications: 3.
Tablet-based Mobile Health Ultrasound for Point-of-care Breast Cancer Diagnosis in Nigeria
ClinicalTrials.gov study NCT04501419. IPD Sharing: YES. Countries: 1. Publications: 1.
Moms@Home: A Storytelling-based Mobile Health Intervention to Improve Blood Pressure Management in Pregnancy
ClinicalTrials.gov study NCT06835959. IPD Sharing: YES. Countries: 1. Publications: 10.
FAMS Mobile Health Intervention for Diabetes Self-care Support
ClinicalTrials.gov study NCT02481596. IPD Sharing: YES. Countries: 1. Publications: 3.
PeerNaija: A Mobile Health Platform Incentivizing Medication Adherence Among Youth Living With HIV in Nigeria
ClinicalTrials.gov study NCT04930198. IPD Sharing: NO. Countries: 1. Publications: 4.
Mobile Mental Health Apps for Suicide Prevention
ClinicalTrials.gov study NCT04536935. IPD Sharing: NO. Countries: 1. Publications: 2.
A Mobile Intervention to Reduce Pain and Improve Health (MORPH)
ClinicalTrials.gov study NCT03377634. IPD Sharing: NO. Countries: 1. Publications: 2.
Rehabilitation at Home Using Mobile Health In Older Adults After Hospitalization for Ischemic Heart Disease
ClinicalTrials.gov study NCT03978130. IPD Sharing: YES. Countries: 1. Publications: 3.
A Mobile Personal Health Record for Behavioral Health Homes
ClinicalTrials.gov study NCT01890226. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Mobile Health (mHealth) Nutrition Intervention for Children With Autism Spectrum Disorder
ClinicalTrials.gov study NCT03424811. IPD Sharing: Not stated. Countries: 1. Publications: 2.
Using Mobile Technology to Address the Trauma Mental Health Treatment Gap
ClinicalTrials.gov study NCT05374408. IPD Sharing: NO. Countries: 1. Publications: 3.
ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.