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292 results for “OR in health services”
EJPSOIL ARTEMIS on-farm monitoring of soil health and ecosystems services (meta)data
<p>This database includes the data and metadata from the initial on-farm monitoring od soil health and soil related ecosystem services of the EJPSOIL ARTEMIS project. </p>
Respondents' perspectives on the impact of digital data-based health services on disaster risk management in Indonesia.
<p>This data contains respondents' perspectives on the impact of digital data-based health services on disaster risk management. Digital health services are the implementation of digital, information, and communication technologies in the context of health services. Digital health services include: mHealth, Health Information Technology, Wearable Devices, Telehealth and Telemedicine, and Personalized Medicine. </p> <p>Data was collected and processed as part of the ODDEA (Overcoming Digital Divide Between Europe and Southeast Asia) EU research project (Project ID: HORIZON MSCA-SE 101086381) would be advisable.</p>
Response to COVID-19: Clients' perspectives on the utilization of reproductive, maternal and child health care services in Nigeria
<p>This dataset was a part of a cross-sectional descriptive study in 320 rural communities in 32 Local Government Areas (LGAs) across the Federal Capital Territory (FCT), Abuja, and 9 out of the 36 Nigerian States in 2020. The dataset contains views of women who used primary health care centres in the selected LGAs for maternal and child health care, and family planning services before, during, and after the COVID-19 pandemic lockdown in Nigeria. The sample size was determined using the Yamane sample size formula. The estimated sample size per State was 384 (3,840 for nine States and FCT), with a 10% adjustment for non-response, the total sample size was 422 per State or location (4220 for the nine States and FCT). The data are stored in SPSS format. <br> The study was an initiative of UNFPA Nigeria. They coordinated it under the One UN Basket fund to respond to COVID-19 and implemented it under the supervision of three national NGOs: The Women’s Health and Action Research Centre (WHARC), Education as a Vaccine (EVA), and the Planned Parenthood Federation of Nigeria (PPFN). </p> <p> </p>
Use of health care services in community-dwelling older adults in two regions of Spain
<p>This dataset contains data on use of health care resources of community-dwelling older adults aged 70 or over, who were functionally independent. Data of health resources use included contacts along two consecutive years with: the general practitioner, primary care nurse, the specialists, visits to emergency rooms, and hospital admissions and length of stay. The data included also information about sex, region, polipharmacy, age-adjusted Charlson Comorbidity Index and funcionality, measured by Timed Up and Go test. The data collection was performed in two Spanish regions. Baseline assessment was done between 2015 and 2016, and patients were followed for 2 years. There were in total 1488 registries considering both years.</p>
Dataset: BrightSpring Health Services, Inc. (BTSG) 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: BrightSpring Health Services, Inc. (BTSGU) 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: Preliminary analysis of open data pertaining to the services available through the Health Insurance Institute of Slovenia and provided by family medicine
<p>BACKGROUND: The Health Insurance Institute of Slovenia (ZZZS) began publishing service-related data in May 2023, following a directive from the Ministry of Health (MoH). The ZZZS website provides easily accessible information about the services provided by individual doctors, including their names. The user is provided relevant information about the doctor's employer, including whether it is a public or private institution. The data provided is useful for studying the public system's operations and identifying any errors or anomalies. </p> <p>METHODS: The data for services provided in May 2023 was downloaded and analysed. The published data were cross-referenced using the provider's RIZDDZ number with the daily updated data on ambulatory workload from June 9, 2023, published by ZZZS. The data mentioned earlier were found to be inaccurate and were improved using alerts from the zdravniki.sledilnik.org portal. Therefore, they currently provide an accurate representation of the current situation. The total number of services provided by each provider in a given month was determined by adding up the individual services and then assigning them to the corresponding provider. </p> <p>RESULTS: A pivot table was created to identify 307 unique operators, with 15 operators not appearing in both lists. There are 66 public providers, which make up about 72% of the contractual programme in the public system. There are 241 private providers, accounting for about 28% of the contractual programme. In May 2023, public providers accounted for 69% (n=646,236) of services in the family medicine system, while private providers contributed 31% (n=291,660). The total number of services provided by public and private providers was 937,896. Three linear correlations were analysed. The initial analysis of the entire sample yielded a high R-squared value of .998 (adjusted R-squared value of .996) and a significant level below 0.001. The second analysis of the data from private providers showed a high R Squared value of .904 (Adjusted R Squared = .886), indicating a strong correlation between the variables. Furthermore, the significance level was < 0.001, providing additional support for the statistical significance of the results. The third analysis used data from public providers and showed a strong level of explanatory power, with a R Squared value of 1.000 (Adjusted R Squared = 1.000). Furthermore, the statistical significance of the findings was established with a p-value < 0.001. </p> <p>CONCLUSION: Our analysis shows a strong linear correlation between contract size of the program signed and number services rendered by family medicine providers. A stronger linear correlation is observed among providers in the public system compared to those in the private system. Our study found that private providers generally offer more services than public providers. However, it is important to acknowledge that the evaluation framework for assessing services may have inherent flaws when examining the data. Prescribing a prescription and resuscitating a patient are both assigned a rating of one service. It is crucial to closely monitor trends and identify comparable databases for pairing at the secondary and tertiary levels.</p>
Effective use of personal health records to support emergency services
<p>Data and code supporting the paper titled "Effective use of personal health records to support emergency services" by Morales et al. (2020)</p> <p>Content:</p> <ol> <li>Synthetic Health Records dataset <ul> <li>ttl and nt files</li> </ul> </li> <li>Gold Standard <ul> <li>Curated Gold Standard based on the data set</li> </ul> </li> <li>Code used to analyse the dataset <ul> <li>Python</li> <li>Queries the data in Blazegraph, identifies valid data points and obtains people in need of help and the type of disability</li> </ul> </li> </ol>
Data for Predictors of young people's access to and utilization of sexual and reproductive health services (SRHS) in Enugu State, Nigeria
<p>Data of a manuscript titled "Predictors of young people’s use of sexual and reproductive health services in Nigeria: a mixed-method approach" submitted to BMC Public Health</p>
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>
Quality of care and performance indicators of mental health supported accommodation services in England
<p class="MsoNormal"><span>This dataset includes data from Mental Health supporting accommodation services in England. It includes information on resources (inputs) and outcomes (outputs) of care, which are described in the manuscript published in Plos One: "Almeda, N., García-Alonso, C. R., Killaspy, H., Gutiérrez-Colosía, M. R., & Salvador-Carulla, L. (2022). The critical factor: The role of quality in the performance of supported accommodation services for complex mental illness in England. Plos One, 17(3), e0265319. https://doi.org/10.1371/journal.pone.0265319"</span></p> <p class="MsoNormal"><span>The research associated with the present data focused on developing an analytical process for assessing the performance of the Mental health (MH) supporting accommodation services from 14 different regions of England considering the effect of the quality-of-care indicators in the performance. For doing so every service was classified in Residential Care (move on and non-move on oriented), Supported Housing or Floating Outreach. Then, information about the quality-of-care was collected from each domain of the instrument QuIRC-SA. Finally, a decision support system that integrated data envelopment analysis, Monte Carlo simulation and artificial intelligence was used.</span></p> <p class="MsoNormal"><span>The main results of the analyses pointed out that the incorporation of quality domains as variables (outputs) in DEA had a neutral-positive or positive global impact on the performance of MH-supported accommodation services.</span></p>
Effect of the free healthcare policy on the health services' utilisation by children under five years in Burkina Faso
<p class="MsoNormal"><strong><span>Objectives:</span></strong><span> This study aimed to analyse</span><span>, </span><span>at </span><span>national level, </span><span>the effects of the free healthcare policy for children on the use of health services by children under five in Burkina Faso. We hypothesized that this policy has led to an immediate and sustained increase in the use of health services for these children in the country. </span></p> <p class="MsoNormal"><strong><span>Setting:</span></strong><span> We conducted a controlled interrupted time series. Monthly data at district level, spanning from January 2013 to December 2018 and corresponding to 72 monthly data points (39 before and 33 after), were extracted from the Burkina Faso National Health Information System. The analysed dataset included data from all the 70 health districts of the country.</span></p> <p class="MsoNormal"><strong><span>Participants: </span></strong><span>The study consisted of aggregated data from children under five as the target for the policy with children aged between 5-14 years old as control group. </span></p> <p class="MsoNormal"><strong><span>Intervention: </span></strong><span>The intervention was the introduction of the free healthcare policy for women and children under five years from April 2016. </span></p> <p class="MsoNormal"><strong><span>Outcome: </span></strong><span>The primary outcome was the mean monthly rate of health services visits by children </span></p> <p class="MsoNormal"><strong><span>Results: </span></strong><span>Among the children under five,<strong> </strong><span>the rate of visits increased of 57% (IRR= 1.57; 95% CI=</span>1.2 to 2.0<span>) in the month immediately following the launching of the free healthcare policy. An increase in the rate of health facility visits of 1% </span></span><span>(IRR=1.01; 95% CI=</span><span>1.0 to 1.1) <span>per month was also noted during post-intervention. Compared to the control group, we observed an </span></span><span>increase of the rate of visits of 2.5% (IRR=1.025; 95%CI= 1.023 to 1.026) per month. </span></p> <p class="MsoNormal"><strong><span>Conclusion: </span></strong><span>Findings suggest that the</span><strong><span> </span></strong><span>free healthcare policy increased the use of health facilities for care in Burkina Faso immediately after the implementation of the policy with a small increase in the rate overtime. Strategies to maintain the policy effect over time are necessary. </span></p>
A narrative synthesis analysis of lifecourse domains within health service utilisation frameworks
<p>This paper is a scoping review which identifies existing frameworks, other than Anderson's Behavioural model, that look at Health Service Utilisation (HSU). In addition it investigates if these frameworks incorporate the use of a life course approach to understand HSU.</p> <p>The data included in this repository is:</p> <p>1. PRISMA flowchart</p> <p>2. PRISMA-ScR scoping review checklist</p> <p>3. Spreadsheet which contains all 70 frameworks (Table 6)</p> <p>4. References for the 70 Frameworks in Table6.</p> <p> </p> <p> </p>
Feasibility and Acceptability of W-GenZD vs CBT-light Teletherapy for Adolescents Seeking Mental Health Services
ClinicalTrials.gov study NCT05372913. IPD Sharing: Not stated. Countries: 1. Publications: 2.
Service and Health Among Deployed Veterans
ClinicalTrials.gov study NCT02825654. IPD Sharing: YES. Countries: 1. Publications: 4.
A Stepped Care Intervention to Reduce Disparities in Mental Health Services Among Cancer Patients and Caregivers
ClinicalTrials.gov study NCT03016403. IPD Sharing: NO. Countries: 1. Publications: 1.
Dashboard Activated Services and Tele-Health for Heart Failure
ClinicalTrials.gov study NCT05001165. IPD Sharing: NO. Countries: 1. Publications: 2.
Peer-Presented Versus Mental Health Service Provider-Presented Mental Health Outreach Programs for University Students
ClinicalTrials.gov study NCT05454592. IPD Sharing: YES. Countries: 1. Publications: 1.
Refining and Implementing Technology-Enhanced Family Navigation to Promote Early Access and Engagement With Mental Health Services for Youth With Autism
ClinicalTrials.gov study NCT05344378. IPD Sharing: NO. Countries: 1. Publications: 4.
Developing E-health Services (DES): The Feasibility and Acceptability of Video-conferencing for Adults With Depression
ClinicalTrials.gov study NCT03288506. IPD Sharing: NO. Countries: 1. Publications: 9.
ScienceDex guides
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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.