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1,558 results for “Mental Health”
Data from: Primary care follow-up and measured mental health outcomes among women referred for ultrasound assessment of pain and/or bleeding in early pregnancy: a quantitative questionnaire study
Objectives To examine the extent of primary care follow-up and mental health outcomes among women referred for ultrasound assessment of pain and/or bleeding in early pregnancy, including those whose pregnancy is found to be viable on ultrasound assessment. Design Questionnaire study with prospective follow-up. Setting Urgent gynaecology clinic in secondary care, England. Participants 57 women participated in the study. Entry criteria: referral to the urgent gynaecology clinic with pain and/or bleeding in early pregnancy; gestation less than 16 weeks (the clinic's own 'cut-off'); no previous attendance at the clinic during the current pregnancy. Exclusion criteria: inability to understand English or to provide informed consent. Primary and secondary outcome measures Incidence of primary care follow-up among women referred to the urgent gynaecology clinic; incidence of women with measured mental health scores suggesting significant symptoms of distress. Results Fewer than 1 in 10 women referred for ultrasound assessment of pain and/or bleeding in early pregnancy had follow-up arrangements made with their general practitioner (GP). Most women who had GP follow-up found it helpful and a significant minority of women who did not have GP follow-up felt that it would have been helpful. Following ultrasound assessment, more than one-third of women had significant symptoms of distress. Symptoms of distress, particularly anxiety, were present among those women found to have viable pregnancies, as well as among those with non-viable pregnancies. Conclusions GPs are advised to consider offering follow-up to all women referred for ultrasound assessment of pain and/or bleeding in early pregnancy. Researchers in this area are advised to consider the experiences of women with pain and/or bleeding in early pregnancy whose pregnancies are ultimately found to be viable on ultrasound scan.
Data from: Why we need more nature at work: effects of natural elements and sunlight on employee mental health and work attitudes
This study investigated the effects of natural elements and direct and indirect sunlight exposure on employee mental health and work attitudes. We recruited participants via an online panel from the United States and India, and analyzed data from 444 employees. Natural elements and sunlight exposure related positively to job satisfaction and organizational commitment, and negatively to depressed mood and anxiety. Direct sunlight was a dominant predictor of anxiety; indirect sunlight was a dominant predictor of depressed mood, job satisfaction, and organizational commitment. Natural elements buffered the relationship between role stressors and job satisfaction, depressed mood, and anxiety. We also found that depressed mood partially mediated the relationship between natural elements and job satisfaction. We discuss scientific and policy implications of these findings.
Data from: A Decision Support System for assessing management interventions in a Mental Health ecosystem: the case of Bizkaia (Basque Country, Spain)
Evidence-informed strategic planning is a top priority in Mental Health (MH) due to the burden associated with this group of disorders and its societal costs. However, MH systems are highly complex, and decision support tools should follow a systems thinking approach that incorporates expert knowledge. The aim of this paper is to introduce a new Decision Support System (DSS) to improve knowledge on the health ecosystem, resource allocation and management in regional MH planning. The Efficient Decision Support-Mental Health (EDeS-MH) is a DSS that integrates an operational model to assess the Relative Technical Efficiency (RTE) of small health areas, a Monte-Carlo simulation engine (that carries out the Monte-Carlo simulation technique), a fuzzy inference engine prototype and basic statistics as well as system stability and entropy indicators. The stability indicator assesses the sensitivity of the model results due to data variations (derived from structural changes). The entropy indicator assesses the inner uncertainty of the results. RTE is multidimensional, that is, it was evaluated by using 15 variable combinations called scenarios. Each scenario, designed by experts in MH planning, has its own meaning based on different types of care. Three management interventions on the MH system in Bizkaia were analysed using key performance indicators of the service availability, placement capacity in day care, health care workforce capacity, and resource utilisation data of hospital and community care. The potential impact of these interventions has been assessed at both local and system levels. The system reacts positively to the proposals by a slight increase in its efficiency and stability (and its corresponding decrease in the entropy). However, depending on the analysed scenario, RTE, stability and entropy statistics can have a positive, neutral or negative behaviour. Using this information, decision makers can design new specific interventions/policies. EDeS-MH has been tested and face-validated in a real management situation in the Bizkaia MH system.
Data from: Association between attitudes of stigma toward mental illness and attitudes toward adoption of evidence-based practice within health care providers in Bahrain
<p><span>The health care system is one of the key areas where people with mental illnesses could experience stigma. Clinicians can hold stigma attitudes during their interactions with patients with mental illness. To improve the quality of mental health services and primary care, evidence-based practices should be disseminated and implemented. In this study, <a name="_Hlk23098053">we evaluated the attitudes of health care providers in Bahrain toward people with mental illness and adoption of evidence-based practice </a>using the Opening Minds Stigma Scale for Healthcare Providers (OMS-HC) and Evidence-Based Practice Attitude Scale (EBPAS).<b> </b>We conducted a cross-sectional study across 12 primary health care centers and a psychiatric hospital (the country's main mental health care facility). A self-report questionnaire was distributed among all health care providers.<b> </b>A total of 547 health care providers participated, with 274 from mental health services and 273 from primary care services. Results of the OMS-HC indicated differences between both main groups and subgroups. Regression model analysis reported significant outcomes. There was no statistical difference found between both groups in EBPAS scores. A weak but statistically significant negative association was reported between both scales.<b> </b>Participants showed varying stigma attitudes across different working environments, with less stigma shown in mental health services than in primary care services. <a name="_Hlk23098110">Providers who were more open to adopting evidence-based practices showed less stigma toward people with mental illness. Comparing our findings with previous research</a> showed that health care providers in Bahrain hold more stigma attitudes than other groups studied. We hope that this study serves as an initial step toward future campaigns against the stigma of mental illness in Bahrain and across the region.</span></p>
Economic and financial barriers to delivering mental health services in Georgia: Informing policy and acting on evidence
<p>Dataset includes qualitative data for the manuscript entitled "Economic and financial barriers to delivering mental health services in Georgia: Informing policy and acting on evidence".</p>
Multilevel Interventions for Mental Health in SMEs and Public Workplaces - H-Work EU Project Dataset (Only for Partners)
<p>This Dataset includes data collected as part of the H-Work project, at timepoints T1-T7. It contains data from each timepoint per site in single files and merged Data from multiple sites and timepoints, for more information see info file.</p>
Replication package for: "Economic Distress and Children's Mental Health: Evidence from the Brazilian High Risk Cohort Study for Mental Conditions"
<p>This package replicates the results of "Economic distress and children's mental health: evidence from the Brazilian High Risk Cohort Study for Mental Conditions" (and its respective online appendix) using mostly Stata. The package does not include the paper's main dataset, which is confidential.</p>
Delving into the Impact of Stress on Mental Health: A Data-Driven Approach
<p>This comprehensive dataset delves into the intricate relationship between stress and mental health, providing valuable insights for researchers, healthcare professionals, and individuals alike. The dataset encompasses a diverse range of variables, including self-reported stress levels, standardized mental health assessments, demographic information, and lifestyle factors. This rich data empowers researchers to conduct in-depth analyses and uncover the multifaceted connections between stress and mental Health.</p>
The Future of Stress Research: A Zenodo Collection of Datasets and Tools for Investigating the Stress-Mental Health Relationship
<p>This Zenodo collection offers a comprehensive dataset for researchers exploring the intricate relationship between stress and Mental Health. It provides a valuable resource for investigating how individual experiences influence mental well-being.</p><p><strong>Data Included:</strong></p><ul><li><strong>Participant Information:</strong> Name, age, gender, community (rural/urban), and occupation.</li><li><strong>Stress Level:</strong> Self-reported stress levels, identified stressors, and coping mechanisms.</li><li><strong>Mental Health Scores:</strong> Scores on standardized anxiety and depression scales.</li><li><strong>Mental Health State:</strong> Categorical diagnosis (Average, Poor, Excellent etc.. ).</li></ul><p> </p>
UNIVERSAL MENTAL HEALTH TRAINING FOR FRONTLINE PROFESSIONALS (UMHT)'s FEASIBILITY ANALYSIS
<p><strong>General information</strong></p> <p>The Universal Mental Health Training for Frontline Professionals (UMHT) is an educational program developed and piloted in Ukraine in 2021-2023 to bridge the mental health gap between Ukrainians’ support needs and the health system's answers. Frontline professionals were trained to interact, support and refer for the professional help people with mental health conditions.</p> <p>The UMHT was developed in 2021 and piloted in 2021-2023 within the context of the Mental Health for Ukraine Project (MH4U), implemented in Ukraine by GFA Consulting Group GmbH (donor - Swiss Confederation). The University of Luxembourg, with the support of the European Commission through the MSCA4Ukraine fellowship scheme by the Alexander von Humboldt Foundation (AvH) for premier investigator Viktoriia Gorbunova, is leading a full-scale efficacy study of the UMHT in 2023-2025. </p> <p>Pilot trial data available: <a href="../records/10410525">https://zenodo.org/records/10410525</a></p> <p><strong> </strong></p> <p><strong>Data and file overview</strong></p> <p>To assess the demand, acceptability, adaptability and extendability of the UMHT as the focus areas of the programme’s feasibility were used statistics on the actual use of the program, as well as data from satisfaction and usability surveying of 144 program deliverers and 714 trained frontline professionals.</p> <p>To assess programme <strong><em>demand, we measured the actual use of the program with statistics on the number</em></strong> of trainings conducted with donor support in terms of organisation and financing and independently on request of different organisations.</p> <p>As program <strong><em>acceptability</em></strong> measurement was chosen, training content and delivery satisfaction by its trainers as deliverers and FLP as its recipients through satisfaction surveying. All audiences were asked to assess on a 5-grade scale whether training materials were structured and clear, whether the balance between theory and practice was kept, whether there were enough examples and explanations, whether answers to participants’ questions were full and clear, whether trainers where careful of sensitive topics and mindful of stigma and whether presentations and following material were high quality and perceptibility.</p> <p>The same scale was applied for self-assessing the ToTs participants’ post-training boost of preparedness to lead UMHT in terms of knowledge, skills and general readiness: <em>“My understanding of the topic of interactions with people with MH issues has increased”; “My skills to lead UMH trainings and supervisions was mastered; “My readiness to lead UMH trainings and supervisions has increased”. </em>FLP assessed their with the questions: <em>“My understanding of the topic of interactions with people with MH issues has increased”; “My skills to interact with people with MH issues was mastered; “My readiness to work with people with MH issues has increased.</em></p> <p>Also, future trainers and FLP were asked to name knowledge and skills they would like to strengthen and give suggestions on changes in the training materials and process to improve it.</p> <p>Additionally, data were taken from the accreditation assessment of UMHT trainers' knowledge and skills observed in the training delivery process. In particular were assessed subject knowledge, organisational skills, instrumental skills, motivational skills, and ethical skills.</p> <p><strong><em>The adaptability </em></strong>of the program was measured through its comparative usability by different groups of FLP, specifically with questions: <em>“Did you work with people with mental conditions after the UMHT?”; “Did you use the knowledge and skills gained during the UMHT?”; “If yes, what knowledge and skills gained during the UMHT you were able to use?”</em> The list of knowledge and skills consists of those needed on each step of the UMHT model and purposely targeted during the training: recognise MH condition, validate MH condition with a person / their caregivers, support a person, refer for professional help, and ensure the reference was successful.</p> <p>Additional information, such as the content of supervision requests from the UMHT trainers, was driven from supervision <a name="OLE_LINK1"></a>reports. In general, there were six possible types of supervision: organisational supervision (issues related to the organisation of the training process and supervision of training participants), content-related supervision (issues related to the need to expand/deepen knowledge about a specific disorder or other training topic), instrumental supervision (issues related to the need to practice specific skills to lead training), navigational supervision (issues related to the need for additional motivation of participants, management of difficult situations, conflict-solving), technical supervision (issues related to the use of digital applications during training and other technical aspects), motivational supervision (questions related to psychological readiness to lead training, burnout and general need for support).</p> <p>The comparative usability for modules centred on MH disorders and newly developed modules centred on mental health crises (aggressive behaviour, self-harm behaviour, suicide & life-threatening behaviour, unusual & disorganised behaviour) was used for <strong><em>extendability</em></strong> measurement of the UMHT.</p> <p><strong> </strong></p> <p><strong>Sharing and accessing information</strong></p> <p>Information (raw anonymised data) is openly available through Zenodo. It is possible to use the information with research aims to evaluate UMHT or compare data with other similar programs. Our research team kindly asks to notify the contact person (Viktoriia Gorbunova) about any dataset usage. </p> <p> </p> <p><strong>Methodological information</strong></p> <p>The aim of the present study was to assess the feasibility of the UMHT as a public mental health promotion&prevention intervention on the base of its demand as well as users’ satisfaction and programme potential to be adjustable for different groups of frontline professionals and to be open to modifications due to design and content features. Therefore, the study focuses on the relevance of the UMHT to social demand, its acceptability, adaptability and capacity for further development and modification.</p> <p>The UMHT was disseminated by the Training of Trainers (ToT) approach, highlighted in the mhGAP Operation Guide (WHO, 2018). To assess the feasibility of the UMHT, we surveyed the satisfaction and usability of the programme, its trainers (mental health professionals trained to deliver the UMHT to different groups of frontline professionals), and frontline professionals (FLP) as programme recipients. Generally, the analysis used answers from 144 UMHT mental health professionals who intended to become UMHT trainers and 714 frontline professionals (social workers (203 persons), educators (152), police officers (122), workers of occupation centres (58), emergency responders (52), military volunteers (34), pharmacists (37), librarians and museum workers (29), priests and clerics (27)).</p> <p><strong> </strong></p> <p><strong>Data-specific information</strong></p> <p>Underlying data are available in the Excel file (UMHT_data_full set_ZENODO_v.2.xlsx), containing five pages. </p> <p>1. Page " Satisfaction". Contains the answers to questionaries completed by UMHT training participants after the training. </p> <p>2. Page "Feedback and suggestions UA". Contains the qualitative data, provided by UMHT training participants immediately after the training in Ukrainian language (original). </p> <p>3. Page "Feedback and suggestions EN". Contains the qualitative data, provided by UMHT training participants immediately after the training in English language (translation). </p> <p>4. Page " Usability". Contains the answers to questionaries completed by UMHT training participants the month before the training. </p> <p>5. Page " Supervision reports". Contains the data of assessment of the UMHT participants by UMHT trainers/supervisors.</p> <p>Extended data are available in the PDF file (<a href="../api/records/10837933/draft/files/UMHT%20Feasibility%20Extended%20Data.pdf/content" target="_blank" rel="noopener noreferrer">UMHT Feasibility Extended Data.pdf</a>), containing 38 Tables with detailed statistics, calculated based on the Underlying Data, and in PDF file (<a href="../api/records/10926232/draft/files/UMHT%20surveys.pdf/content" target="_blank" rel="noopener noreferrer">UMHT surveys.pdf</a>), containing surveys used in the study. </p> <p> </p>
A Survey of Emotional and Mental Health Effects Women Attribute to Their Pregnancy Outcomes
<h2>Materials and Methods</h2> <p><span>Experts in abortion and mental health research were consulted in preparing a questionnaire into the prevalence and effects of abortions that conflict with women’s own maternal preferences and moral beliefs. </span></p> <h3>Study Population</h3> <p><span>Invitations to complete a topic blind survey were electronically distributed to Cint.com panelists over a three-day period in July of 2024. Cint panelists are persons who voluntarily complete surveys using their own electronic devices in exchange for small rewards with a value, for this invitation, of under $2 per completed survey. The Cint survey panels include over 28 million U.S. residents. For this survey, a random sample of United States residents Cint pre-identified as females 41 to 45 years of age were invited to complete a survey housed on the LimeSurvey.org platform without any disclosure of the subject matter. The narrow age range, 41-45 years of age, was chosen to (a) eliminate the confounding effects of age, and (b) to maximize the proportion of respondents with a history of abortion since this age group will have completed the majority of their reproductive lives. Investigation of younger women has been deferred until we can test the survey instrument with this limited age group. </span></p> <p><span>The survey exposure rate, response rates, and exclusion rates are shown in Figure 1. Respondents who did not complete all questions were excluded from the analysis, as were any respondents who were out of our gender and age range. Among the 2,361 people who completed the first page of demographic questions, 123 (5.2%) dropped by failing to complete the psychiatric history and another 25 (1.1%) dropped out when presented with questions relating to abortion. Another 22 (1.0%) dropped out when asked their own pregnancy outcomes histories and 166 (7.0%) dropped out, after reporting their pregnancy histories, before completing the survey. The survey was designed to be completed in approximately five to seven minutes by respondents reporting any pregnancies. Of those who completed the survey, 100 (4.6%) were excluded for completing the survey in an unreasonably short period of time, under four minutes. The exclusion of these “speedsters” reflected the likelihood that some respondents, seeking to earn credit for completing the survey as quickly as possible, were randomly responding without reading or considering the questions.</span></p> <p> </p> <p><span></span></p> <p><span> </span></p> <p><span>Figure </span><span><span>1</span></span><span>: Study Population</span></p> <h3>Variables used</h3> <p><span>The first page of the questionnaire asked about age and gender to qualify respondents. The second page included a list of eleven mental health diagnoses and asked respondents to identify which, if any, they had ever been diagnosed. </span></p> <p><span>Only after this page were respondents asked if they had ever had an “unplanned, mistimed, unwanted, or otherwise difficult pregnancy,” which was defined and thereafter referred to as a “problematic pregnancy.” They were then asked to identify the number of times they had “given birth to a live born child,” “had a miscarriage, still birth or other pregnancy loss” and “had an induced abortion.” From this pregnancy history women were divided by a program algorithm into one of five groups, by order of priority: those who had a history of induced abortions, had experienced natural pregnancy losses, had problematic pregnancies carried to term, or had live births, or had never been pregnant. Results from this grouping is shown in Table 1. Notably, given the algorithm prioritization, women in the abortion group may also have had one or more live births, natural pregnancy losses, and problematic pregnancies ending in a live birth. But women were included in the live birth group only if they had none of the other pregnancy outcomes. </span></p> <p><span>The rest of the variables are described in the repository document "2nd USA Survey Instrument.pdf" and in the limesurvey code, "2nd USA survey limesurvey.lss."</span></p>
Remote learning and students' mental health during the Covid‑19 pandemic: Dataset and questionnaire
<p>Questionnarie and dataset for the article "Remote learning and students' mental health during the Covid‑19 pandemic: A mixed method enquiry", published in "Prospects" (2021, <a href="https://doi.org/10.1007/s11125-020-09530-w">https://doi.org/10.1007/s11125-020-09530-w</a>) </p>
Twitter Self-reported Temporally-contextual Mental Health Diagnosis (Twitter-STMHD) Dataset
<p>Twitter-STMHD: An Extensive User-Level Database of Multiple Mental Health Disorders</p>
WTP Flood Mental Health
<p>Data and questionnaire on the willingness to pay to reduce mental health consequences from flooding through collective flood defence. Data collected in the Basque Country, Spain in 2015.</p> <p>Associated article Foudi, S. and Osés-Eraso, N. 2022. Information, experience and willingness to mitigate mental health consequences from flooding through collective defence. Water Resources Research 58, <a href="https://doi.org/10.1029/2021WR031357">https://doi.org/10.1029/2021WR031357</a></p>
Mental health, suicide attempt, and family function for adolescents' primary health care during the COVID-19 pandemic
<p>The purpose of the study was to identify associations between mental health risk, suicide attempt, and family function. The instruments used were the Self-Report Questionnaire, the Suicide Risk Assessment Scale and the family APGAR.</p>
PhD Dataset for Television Mental Emotional & Social Health 500+ cases
<p>Dataset for research of Mental, Emotional and Social Health barriers and issues Self image Poverty finances Work Related. Chicagoland and radius. Televisied help and support with cases identified and categorized.</p>
Replication package for: What Good are Treatment Effects Without Treatment? Mental Health and the Reluctance to Use Talk Therapy
<p>Includes the replication package for the paper titled, "What Good are Treatment Effects Without Treatment? Mental Health and the Reluctance to Use Talk Therapy," accepted for publication by the Review of Economic Studies, December 31, 2023.</p>
Replication package for "A Structural Analysis of Mental Health and Labor Market Trajectories"
<p>"A Structural Analysis of Mental Health and Labor Market Trajectories" MS 29076</p> <p>The replication package contains the codes (two folders: code_manip and code_analysis) and data (three folders: data_raw, data_inter and data_analysis) to replicate the paper's results as well as the figure outputs in an output folder and a readme pdf file.</p> <p> </p>
Mental Health Dataset
Open the record for dataset details and reuse information.
Data from: Mental health status of Sri Lanka Navy personnel three years after end of combat operations: a follow up study
The main aim of this study was to assess the mental health status of the Navy Special Forces and regular forces three and a half years after the end of combat operations in mid 2009, and compare it with the findings in 2009. This cross sectional study was carried out in the Sri Lanka Navy (SLN), three and a half years after the end of combat operations. Representative samples of SLN Special Forces and regular forces deployed in combat areas were selected using simple random sampling. Only personnel who had served continuously in combat areas during the one year period prior to the end of combat operations were included in the study. The sample consisted of 220 Special Forces and 275 regular forces personnel. Compared to regular forces a significantly higher number of Special Forces personnel had experienced potentially traumatic events. Compared to the period immediately after end of combat operations, in the Special Forces, prevalence of psychological distress and fatigue showed a marginal increase while hazardous drinking and multiple physical symptoms showed a marginal decrease. In the regular forces, the prevalence of psychological distress, fatigue and multiple somatic symptoms declined and prevalence of hazardous drinking increased from 16.5% to 25.7%. During the same period prevalence of smoking doubled in both Special Forces and regular forces. Prevalence of PTSD reduced from 1.9% in Special Forces to 0.9% and in the regular forces from 2.07% to 1.1%. Three and a half years after the end of combat operations mental health problems have declined among SLN regular forces while there was no significant change among Special Forces. Hazardous drinking among regular forces and smoking among both Special Forces and regular forces have increased.
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Allen Brain Atlas
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Annotated Behaviour and Observability Dataset (ABODe)
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DANDI Archive for NWB datasets
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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.