44 datasets found
  1. Caregivers receiving financial support from government programs for...

    • www150.statcan.gc.ca
    • open.canada.ca
    • +3more
    Updated Jan 8, 2020
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    Government of Canada, Statistics Canada (2020). Caregivers receiving financial support from government programs for providing care to family members or friends with a long-term health condition, physical or mental disability or problems related to aging [Dataset]. http://doi.org/10.25318/4410001201-eng
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    Dataset updated
    Jan 8, 2020
    Dataset provided by
    Statistics Canadahttps://statcan.gc.ca/en
    Government of Canadahttp://www.gg.ca/
    Area covered
    Canada
    Description

    Population aged 15 and older receiving financial support from government programs for providing care to relatives or friends with a long-term illness, disability or aging needs, 2012.

  2. d

    Dataset for: Factors impacting intention to use smart technology enabled...

    • demo-b2find.dkrz.de
    Updated Sep 21, 2025
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    (2025). Dataset for: Factors impacting intention to use smart technology enabled care services among family carers of older people in the context of long-distance care (J5‐1785) Informal care of older family members or relatives in Slovenia and informal caregivers' attitudes towards new technologies. [Dataset]. http://demo-b2find.dkrz.de/dataset/a9ead1f1-2f86-5ce1-b122-767d71f128c6
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    Dataset updated
    Sep 21, 2025
    Area covered
    Slovenia
    Description

    The dataset contains original data for a wide range of indicators of informal care for older people in Slovenia. A sample of participants aged 40+ in Slovenia (N=781) was surveyed via an online access panel between 09/04/2021 and 06/05/2021. The questionnaire consists of several thematic sections: demographic information, health status and care needs of the older adults; caregiving situation, care burden, use of new technologies, attitudes towards new technologies, interest in the use of telecare, TAM questions about the use of telecare; perceived outcomes of telecare use; COVID-19 impact on the caregiving situation; demographic information about informal caregivers. The structure of the survey aimed to provide a comprehensive overview of factors affecting intentions to use telecare services among informal caregivers of older adults.

  3. d

    Caregivers receiving federal tax credits for providing care to family...

    • datasets.ai
    • www150.statcan.gc.ca
    • +2more
    21, 55, 8
    Updated Jun 27, 2018
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    Statistics Canada | Statistique Canada (2018). Caregivers receiving federal tax credits for providing care to family members or friends with a long-term health condition, physical or mental disability or problems related to aging [Dataset]. https://datasets.ai/datasets/15f488d3-217e-4480-b5a9-48b7bf084fbe
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    21, 8, 55Available download formats
    Dataset updated
    Jun 27, 2018
    Dataset authored and provided by
    Statistics Canada | Statistique Canada
    Description

    Population aged 15 and older receiving federal tax credits for providing care to relatives or friends with a long-term illness, disability or aging needs, 2012.

  4. Data from: Psychological Distress and Burden of Care among Family Caregivers...

    • figshare.com
    bin
    Updated Apr 9, 2021
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    Ekerette Udoh; Deborah Eunice Omorere (2021). Psychological Distress and Burden of Care among Family Caregivers of Patients with Mental Illness in a Neuropsychiatric Outpatient Clinic in Nigeria [Dataset]. http://doi.org/10.6084/m9.figshare.13348406.v3
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    binAvailable download formats
    Dataset updated
    Apr 9, 2021
    Dataset provided by
    Figsharehttp://figshare.com/
    Authors
    Ekerette Udoh; Deborah Eunice Omorere
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Area covered
    Nigeria
    Description

    Data include information of participants who were family caregivers of relatives diagnosed with mental illness. Females were 57% and males 43.1%. Majority of participants were aged 15-29 years 43.6%. Other background information such as diagnosis of caregiver’s relatives is also present in dataset. Information in the dataset also include the GHQ12 and Zarit Burden Interview (ZBI) scale that assessed the psychological health and burden of caregiving in the respondent. The total sample is 415. Sample was collected in a psychiatric clinic in Nigeria.

  5. f

    Data from: Evaluation of depressive symptoms in older caregivers

    • datasetcatalog.nlm.nih.gov
    • scielo.figshare.com
    Updated Jun 2, 2022
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    Luchesi, Bruna Moretti; Brígola, Allan Gustavo; Degani, Gláucia Costa; Pavarini, Sofia Cristina Iost; Marques, Sueli (2022). Evaluation of depressive symptoms in older caregivers [Dataset]. https://datasetcatalog.nlm.nih.gov/dataset?q=0000375523
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    Dataset updated
    Jun 2, 2022
    Authors
    Luchesi, Bruna Moretti; Brígola, Allan Gustavo; Degani, Gláucia Costa; Pavarini, Sofia Cristina Iost; Marques, Sueli
    Description

    Background The number of older caregivers is getting bigger and it is important to know if they experience depressive symptoms because there can be consequences for both caregiver and care recipient. Objective To analyze the recent publications related to the assessment of depressive symptoms in elderly caregivers. Methods Lilacs and PubMed databases were reviewed associating the descriptors “caregivers” AND “aged” AND “depression”. Inclusion criteria were texts including primary data in Portuguese, Spanish or English, published between 2009-2013, also data which evaluated elderly caregivers (≥ 60) and depression or depressive symptoms. There were found n = 1129 texts and after applying the inclusion criteria n = 17 were selected and analyzed. Results Geriatric Depressive Scale (-30 and -15 items) and Center for Epidemiologic Studies Depression scale were the most used scales to evaluate depressive symptoms in older caregivers. Caregivers were in the most of the cases female and cared for a family member with dementia. The majority of the texts that compared older caregivers to older non-caregivers found that caregivers had more depressive symptoms. Discussion Early identification of depressive symptoms can help professionals to minimize damage in caregivers and in care recipient and to plan interventions focusing on improving quality of life of this specific caregiver group.

  6. f

    Table_1_Caregivers’ socio-cultural influences on health-seeking behavior for...

    • datasetcatalog.nlm.nih.gov
    • frontiersin.figshare.com
    Updated Nov 30, 2023
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    Mostafa, Ishita; Alam, Aklima; Manir, Mohammad Zahidul; Ahmed, Tahmeed; Naila, Nurun Nahar; Rahman, Mahfuzur; Karmakar, Gobinda; Sari, Mayang; Islam, Munirul; Mahfuz, Mustafa; Sharmin, Farhana (2023). Table_1_Caregivers’ socio-cultural influences on health-seeking behavior for their wasted children among forcibly displaced Myanmar Nationals and their nearest host communities.docx [Dataset]. https://datasetcatalog.nlm.nih.gov/dataset?q=0001058855
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    Dataset updated
    Nov 30, 2023
    Authors
    Mostafa, Ishita; Alam, Aklima; Manir, Mohammad Zahidul; Ahmed, Tahmeed; Naila, Nurun Nahar; Rahman, Mahfuzur; Karmakar, Gobinda; Sari, Mayang; Islam, Munirul; Mahfuz, Mustafa; Sharmin, Farhana
    Area covered
    Myanmar (Burma)
    Description

    IntroductionA total of 19% of forcibly displaced Myanmar Nationals (FDMNs) Bangladesh fall within the age range of under five years old, while an average of 1% exhibit severe malnutrition. Cox’s Bazar is the closest host community for FDMNs, with similar traditional culture and religion and shared linguistic, ethnic, and cultural ties.MethodsA qualitative study was conducted to investigate the impact of socio-cultural factors on the healthcare-seeking behavior of caregivers of critically malnourished children in FDMN camps and neighboring host communities.ResultsThe utilization of informal healthcare by caregivers in both populations can be attributed to cultural attitudes, taboos, and peer pressure. The healthcare by practices in the FDMN camps and host towns were primarily affected by household responsibilities, familial assistance in accessing medical services, decisions made by husbands or mothers-in-law, and the availability and accessibility of healthcare facilities. Certain features were identified that prompt caregivers to seek formal treatment in both groups. The efficacy of the treatment was a primary consideration. In instances where conventional remedies and informal treatments proved ineffective in restoring the health of children, others who were invested in their well-being, such as family members and neighbors, advised caretakers to pursue professional medical care.DiscussionEnhanced caregiver awareness of severe wasting, enhanced healthcare accessibility, and increased community volunteer engagement have the potential to facilitate early identification of severely wasted children and mitigate delays in treatment.

  7. T

    Awareness of dementia family caregiving resources in Dallas/Fort Worth area

    • dataverse-dev.tdl.org
    • dataverse-training.tdl.org
    pdf, tsv
    Updated Mar 1, 2023
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    Jane Scott; Jane Scott (2023). Awareness of dementia family caregiving resources in Dallas/Fort Worth area [Dataset]. http://doi.org/10.33536/FK2/HQ6GJK
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    tsv(615), pdf(13343)Available download formats
    Dataset updated
    Mar 1, 2023
    Dataset provided by
    Texas Data Repository ***DEV*** Dataverse
    Authors
    Jane Scott; Jane Scott
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Area covered
    Dallas-Fort Worth Metropolitan Area
    Description

    Contains CSV and PDF data used for evaluation to determine dementia family caregiving resource literacy in Dallas/Fort Worth area. It is a qualitative study with semi-structured interviews conducted over Zoom. All caregivers (n=10) provide care for a family member with dementia.

  8. f

    Table_1_“Hey Siri, Help Me Take Care of My Child”: A Feasibility Study With...

    • datasetcatalog.nlm.nih.gov
    • frontiersin.figshare.com
    Updated Mar 3, 2022
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    Huang, Yungui; Noritz, Garey; Oiler, Brannon; Sezgin, Emre; Abbott, Brandon (2022). Table_1_“Hey Siri, Help Me Take Care of My Child”: A Feasibility Study With Caregivers of Children With Special Healthcare Needs Using Voice Interaction and Automatic Speech Recognition in Remote Care Management.DOCX [Dataset]. https://datasetcatalog.nlm.nih.gov/dataset?q=0000401753
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    Dataset updated
    Mar 3, 2022
    Authors
    Huang, Yungui; Noritz, Garey; Oiler, Brannon; Sezgin, Emre; Abbott, Brandon
    Description

    BackgroundAbout 23% of households in the United States have at least one child who has special healthcare needs. As most care activities occur at home, there is often a disconnect and lack of communication between families, home care nurses, and healthcare providers. Digital health technologies may help bridge this gap.ObjectiveWe conducted a pre-post study with a voice-enabled medical note taking (diary) app (SpeakHealth) in a real world setting with caregivers (parents, family members) of children with special healthcare needs (CSHCN) to understand feasibility of voice interaction and automatic speech recognition (ASR) for medical note taking at home.MethodsIn total, 41 parents of CSHCN were recruited. Participants completed a pre-study survey collecting demographic details, technology and care management preferences. Out of 41, 24 participants completed the study, using the app for 2 weeks and completing an exit survey. The app facilitated caregiver note-taking using voice interaction and ASR. An exit survey was conducted to collect feedback on technology adoption and changes in technology preferences in care management. We assessed the feasibility of the app by descriptively analyzing survey responses and user data following the key focus areas of acceptability, demand, implementation and integration, adaptation and expansion. In addition, perceived effectiveness of the app was assessed by comparing perceived changes in mobile app preferences among participants. In addition, the voice data, notes, and transcriptions were descriptively analyzed for understanding the feasibility of the app.ResultsThe majority of the recruited parents were 35–44 years old (22, 53.7%), part of a two-parent household (30, 73.2%), white (37, 90.2%), had more than one child (31, 75.6%), lived in Ohio (37, 90.2%), used mobile health apps, mobile note taking apps or calendar apps (28, 68.3%) and patient portal apps (22, 53.7%) to track symptoms and health events at home. Caregivers had experience with voice technology as well (32, 78%). Among those completed the post-study survey (in Likert Scale 1–5), ~80% of the caregivers agreed or strongly agreed that using the app would enhance their performance in completing tasks (perceived usefulness; mean = 3.4, SD = 0.8), the app is free of effort (perceived ease of use; mean = 3.2, SD = 0.9), and they would use the app in the future (behavioral intention; mean = 3.1, SD = 0.9). In total, 88 voice interactive patient notes were generated with the majority of the voice recordings being less than 20 s in length (66%). Most noted symptoms and conditions, medications, treatment and therapies, and patient behaviors. More than half of the caregivers reported that voice interaction with the app and using transcribed notes positively changed their preference of technology to use and methods for tracking symptoms and health events at home.ConclusionsOur findings suggested that voice interaction and ASR use in mobile apps are feasible and effective in keeping track of symptoms and health events at home. Future work is suggested toward using integrated and intelligent systems with voice interactions with broader populations.

  9. Authorization Management Service

    • catalog.data.gov
    • data.va.gov
    • +4more
    Updated Aug 2, 2025
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    Department of Veterans Affairs (2025). Authorization Management Service [Dataset]. https://catalog.data.gov/dataset/authorization-management-service
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    Dataset updated
    Aug 2, 2025
    Dataset provided by
    United States Department of Veterans Affairshttp://va.gov/
    Description

    Provides an enterprise-wide capability for managing individual authorizations for access to protected information. An Individual Authorization is an abstract concept and can be realized by different possible instances of concrete authorization types. Currently, the supported authorization types are Personal Representative Delegation (PR Delegation) and VA Healthcare Proxy delegation (VAHP Delegation). Delegations are a type of authorization whereby a delegator,typically a Veteran or Beneficiary, delegates specific access privileges to a delegaten such as Caregivers, Family members, Legal guardians, etc.

  10. d

    Data from: The families evaluation on management, care and disclosure for...

    • catalog.data.gov
    • data.virginia.gov
    Updated Sep 7, 2025
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    National Institutes of Health (2025). The families evaluation on management, care and disclosure for terminal stage cancer patients [Dataset]. https://catalog.data.gov/dataset/the-families-evaluation-on-management-care-and-disclosure-for-terminal-stage-cancer-patien
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    Dataset updated
    Sep 7, 2025
    Dataset provided by
    National Institutes of Health
    Description

    Background Quality of life is an important concept which is subjective and personal; what is an acceptable quality of life to one may be 'worse than death' to another. The objective of this study was to develop and validate a questionnaire to assess relatives' perceptions and attitudes towards their terminal stage cancer patients' management (information disclosure, treatment choice, hospitalization and support-communication and care) including aspects regarding end-of-life and quality-of-life decisions. Methods The final study consisted of 146 relatives of advanced terminal stage cancer patients receiving palliation, attending a Pain Relief and Palliative Care Unit. The questionnaire incorporated 6 multi-item and 7 single-item scales, and was developed following a systematic review of measures appropriate for use in palliative care settings. Results Following analysis of the 25-item scale, the questionnaire has been validated as a shortened 21-item scale consisting of 5 multi-item and 5 single-item scales. Factor analysis was based upon information disclosure, hospitalization, and support-communication demonstrating Cronbach's alpha coefficients of 0.66, 0.5 and 0.70 respectively. Average item totals and inter-item scale correlations were between 0.62–0.70, with convergent validity correlations between 0.60–0.86. The questionnaire was well accepted by all subjects with an 8–10 minute completion time. Conclusion The shortened 21-item self-assessment questionnaire may provide acceptable and valid assessment of caregiver(s)/Greek cancer patients' relatives perceptions on palliative care.

  11. Health-related quality of life for carers (NHSOF 2.4) - Dataset -...

    • ckan.publishing.service.gov.uk
    Updated Aug 4, 2015
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    ckan.publishing.service.gov.uk (2015). Health-related quality of life for carers (NHSOF 2.4) - Dataset - data.gov.uk [Dataset]. https://ckan.publishing.service.gov.uk/dataset/health-related-quality-of-life-for-carers-nhsof-2-4
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    Dataset updated
    Aug 4, 2015
    Dataset provided by
    CKANhttps://ckan.org/
    License

    Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
    License information was derived automatically

    Description

    This indicator measures health-related quality of life for people who identify themselves as helping or supporting family members, friends, neighbours or others with their long-term physical or mental illness/disability or because of problems related to old age. Purpose This indicator seeks to capture how successfully the NHS is supporting carers to live as normal a life as possible. This indicator helps people understand whether health-related quality of life for carers is improving over time. Current version updated: Sep-17 Next version due: Aug-18

  12. Compendium Abandoned Infants

    • catalog.data.gov
    • data.virginia.gov
    Updated Sep 8, 2025
    + more versions
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    Administration for Children and Families (2025). Compendium Abandoned Infants [Dataset]. https://catalog.data.gov/dataset/compendium-abandoned-infants
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    Dataset updated
    Sep 8, 2025
    Dataset provided by
    Administration for Children and Families
    Description

    The purposes of Public Law 100-505, the Abandoned Infants Assistance Act of 1998 as amended, are to provide funds for the development, implementation and operation of demonstration projects designed to prevent the abandonment of infants and young children, including the provision of services to members of the natural family for any condition that increases the probability of abandonment; to identify and address the needs of abandoned infants and young children; to carry out residential care programs for abandoned infants and young children who are unable to reside with their families or are to be placed in foster care; to recruit, train and retain foster families for abandoned infants and young children; to carry out programs of respite care for families and foster families of abandoned infants and young children; to recruit and train health and social services personnel to work with families, foster families and residential care programs for abandoned infants and young children; to prevent the abandonment of infants and young children; and to care for abandoned infants and young children through model programs, providing health, educational and social services at a single site in a geographic area where a significant number of abandoned infants and young children reside. The legislation also allows for the provision of technical assistance training programs to support the planning, development and operation of the service demonstration projects. The reauthorized legislation (Section 101 (h) of P.L. 100-505, as amended) mandates that the Secretary shall give priority to applicants located in States that have developed and implemented procedures for expedited termination of parental rights and placement for adoption of infants determined to be abandoned under State law. This section of the Compendium describes the 15 Abandoned Infants Program Service Demonstration Projects initially funded in FY 2001 under the following priority areas: 2001C.1: Support for Previous Comprehensive Service Demonstration Projects 2001C.3: Family Support Services for Grandparents and Other Relatives Providing Care for Children and Substance Abusing and HIV-Positive Women 2001C.4: Recreational Services for Children Affected by HIV/AIDS Mission Inn Services is an Abandoned Infants Assistance Demonstration Project in a four-county area of West Michigan. The goal of Mission Inn is to promote safe, secure, permanent, nurturing families for infants and young children who are at risk of abandonment or who have been abandoned. Mission Inn accomplishes this through a program that coordinates health, educational, and social services for such infants and children, as well as their caregivers. The Mission Inn Project will provide home-based, wraparound services to families in the geographic area to identify and achieve a variety of family-identified, family-centered goals related to providing a safe, permanent, nurturing environment that fosters developmental growth in children. The Epiphany Center Day Treatment Program is part of Mount St. Joseph-St. Elizabeth, a multi-service agency that has a 149-year history of providing services to San Francisco's troubled families. The primary goal of the Epiphany STAR (Services to Accelerate Reunification) Project is to prevent the abandonment of infants who have been born into families impacted by substance abuse and/or HIV-related issues. The overall aim of Project Stable Home (PSH) at Children's Institute International (CII) is to reduce out-of-home placements of young children and to improve the quality and stability of their living conditions. PSH's services are specifically designed to assist pregnant women and families of young children who are vulnerable to abandonment as a result of parental substance abuse, HIV status, mental illness, poverty, or other risk factors. The program proposes to provide expanded services for HIV-infected mothers and/or children through a newly formed partnership with Caring for

  13. My HealtheVet (MHV)

    • catalog.data.gov
    • datahub.va.gov
    • +3more
    Updated Aug 2, 2025
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    Department of Veterans Affairs (2025). My HealtheVet (MHV) [Dataset]. https://catalog.data.gov/dataset/my-healthevet-mhv
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    Dataset updated
    Aug 2, 2025
    Dataset provided by
    United States Department of Veterans Affairshttp://va.gov/
    Description

    My HealtheVet (MHV) is VA's award-winning online Personal Health Record (PHR), located at www.myhealth.va.gov. The mission of MHV is to transform the delivery of health and health care for all Veterans, independent of where they receive care, by providing one-stop, online access to better manage their overall health, make informed health decisions, and record and store important health and military history information. MHV provides access to VA health care and information 24/7 through web-based tools that empower Veterans to become active partners in their health care. MHV registrants can click a 'Blue Button' on the website to view, print or download their available personal health information and military service information. They can choose to share that information with other providers, caregivers, family members or job advocates safely, securely, and privately. Web technology combines essential health record information enhanced by online health resources. This enables and encourages patient/clinician collaboration. The online environment maps closely to existing clinical business practices and extends management and delivery of care. MHV allows VA patients to request and receive VA prescription refills and provides a blended history of VA and self-entered medications. Registrants whose personal identities have been verified as VA patients can receive copies of select VA electronic health records, including VA Appointments, Chemistry/Hematology Lab Results, Allergies and Wellness Reminders. Many VA patients are communicating with their participating health care teams through Secure Messaging.

  14. w

    Vietnam - Young Lives: School Survey 2011-2012 - Dataset - waterdata

    • wbwaterdata.org
    Updated Mar 16, 2020
    + more versions
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    (2020). Vietnam - Young Lives: School Survey 2011-2012 - Dataset - waterdata [Dataset]. https://wbwaterdata.org/dataset/vietnam-young-lives-school-survey-2011-2012
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    Dataset updated
    Mar 16, 2020
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Vietnam
    Description

    The Young Lives survey is an innovative long-term project investigating the changing nature of childhood poverty in four developing countries. The purpose of the project is to improve understanding of the causes and consequences of childhood poverty and examine how policies affect children's well-being, in order to inform the development of future policy and to target child welfare interventions more effectively. The study is being conducted in Ethiopia, India (in Andhra Pradesh), Peru and Vietnam. These countries were selected because they reflect a range of cultural, geographical and social contexts and experience differing issues facing the developing world; high debt burden, emergence from conflict, and vulnerability to environmental conditions such as drought and flood. The Young Lives study aims to track the lives of 12,000 children over a 15-year period, surveyed once every 3-4 years. Round 1 of Young Lives surveyed two groups of children in each country, at 1 year old and 5 years old. Round 2 returned to the same children who were then aged 5 and 12 years old. Round 3 surveyed the same children again at aged 7-8 years and 14-15 years, and Round 4 surveyed them at 12 and 19 years old. Thus the younger children are being tracked from infancy to their mid-teens and the older children through into adulthood, when some will become parents themselves. The survey consists of three main elements: a child questionnaire, a household questionnaire and a community questionnaire. The household data gathered is similar to other cross-sectional datasets (such as the World Bank's Living Standards Measurement Study). It covers a range of topics such as household composition, livelihood and assets, household expenditure, child health and access to basic services, and education. This is supplemented with additional questions that cover caregiver perceptions, attitudes, and aspirations for their child and the family. Young Lives also collects detailed time-use data for all family members, information about the child's weight and height (and that of caregivers), and tests the children for school outcomes (language comprehension and mathematics). An important element of the survey asks the children about their daily activities, their experiences and attitudes to work and school, their likes and dislikes, how they feel they are treated by other people, and their hopes and aspirations for the future. The community questionnaire provides background information about the social, economic and environmental context of each community. It covers topics such as ethnicity, religion, economic activity and employment, infrastructure and services, political representation and community networks, crime and environmental changes. The Young Lives survey is carried out by teams of local researchers, supported by the Principal Investigator and Data Manager in each country. Further information about the survey, including publications, can be downloaded from the Young Lives website. School surveys were introduced into Young Lives in 2010 in order to capture detailed information about children's experiences of schooling, and to improve our understanding of: the relationships between learning outcomes, and children's home backgrounds, gender, work, schools, teachers and class and school peer-groups. school effectiveness, by analysing factors explaining the development of cognitive and non-cognitive skills in school, including value-added analysis of schooling and comparative analysis of school-systems. equity issues (including gender) in relation to learning outcomes and the evolution of inequalities within education The survey allows us to link longitudinal information on household and child characteristics from the household survey with data on the schools attended by the Young Lives children and children's achievements inside and outside the school. It provides policy-relevant information on the relationship between child development (and its determinants) and children's experience of school, including access, quality and progression. This combination of household, child and school-level data over time constitutes the comparative advantage of Young Lives. Findings are all available on our Education theme pages and our publications page. Further information is available from the Young Lives School Survey webpages.

  15. R

    Working_sleeping_leaving Dataset

    • universe.roboflow.com
    zip
    Updated Apr 3, 2022
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    0lu0da0ze0@gmail.com (2022). Working_sleeping_leaving Dataset [Dataset]. https://universe.roboflow.com/0lu0da0ze0-gmail-com/working_sleeping_leaving/dataset/6
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    zipAvailable download formats
    Dataset updated
    Apr 3, 2022
    Dataset authored and provided by
    0lu0da0ze0@gmail.com
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Variables measured
    Pieces Bounding Boxes
    Description

    Here are a few use cases for this project:

    1. Employee Monitoring System: The model can be employed in office spaces for an automatic monitoring system. It can tag employees as 'working', 'sleeping' or 'leaved' conditions, hence providing insight into the staff's productivity and work-attendance trends.

    2. Smart Surveillance for Business: This model can be employed in various business environments to enhance security. It can be used to identify if employees have left the premises, are still working, or are sleeping on the job.

    3. Assistive Technology for Disabled or Elderly: Using this computer vision model in smart homes could help monitor if disabled or elderly individuals are actively doing tasks, sleeping, or have left the room - providing useful information for caregivers or family members.

    4. Performance Analysis in Co-working Spaces: The model can be utilized in co-working spaces to observe and analyze the patterns of its occupants, helping space managers make more informed decisions based on occupancy and usage rates.

    5. Residential Security System: The model can be integrated into a home security system to track the activities and habits of residents, ensuring their safety by detecting if they've left the house or are asleep.

  16. f

    SPSS Data set persons with diabetes.

    • datasetcatalog.nlm.nih.gov
    • plos.figshare.com
    Updated May 8, 2024
    + more versions
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    Winkley, Kirsty; Sturt, Jackie; Suglo, Joseph Ngmenesegre (2024). SPSS Data set persons with diabetes. [Dataset]. https://datasetcatalog.nlm.nih.gov/dataset?q=0001460228
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    Dataset updated
    May 8, 2024
    Authors
    Winkley, Kirsty; Sturt, Jackie; Suglo, Joseph Ngmenesegre
    Description

    ObjectiveAfrica presents a higher diabetic foot ulcer prevalence estimate of 7.2% against global figures of 6.3%. Engaging family members in self-care education interventions has been shown to be effective at preventing diabetes-related foot ulcers. This study culturally adapted and tested the feasibility and acceptability of an evidence-based footcare family intervention in Ghana.MethodsThe initial phase of the study involved stakeholder engagement, comprising Patient Public Involvement activities and interviews with key informant nurses and people with diabetes (N = 15). In the second phase, adults at risk of diabetes-related foot ulcers and nominated caregivers (N = 50 dyads) participated in an individually randomised feasibility trial of the adapted intervention (N = 25) compared to usual care (N = 25). The study aimed to assess feasibility outcomes and to identify efficacy signals on clinical outcomes at 12 weeks post randomisation. Patient reported outcomes were foot care behaviour, foot self-care efficacy, diabetes knowledge and caregiver diabetes distress.ResultsAdjustments were made to the evidence-based intervention to reflect the literacy, information needs and preferences of stakeholders and to develop a context appropriate diabetic foot self-care intervention. A feasibility trial was then conducted which met all recruitment, retention, data quality and randomisation progression criteria. At 12 weeks post randomisation, efficacy signals favoured the intervention group on improved footcare behaviour, foot self-care efficacy, diabetes knowledge and reduced diabetes distress. Future implementation issues to consider include the staff resources needed to deliver the intervention, family members availability to attend in-person sessions and consideration of remote intervention delivery.ConclusionA contextual family-oriented foot self-care education intervention is feasible, acceptable, and may improve knowledge and self-care with the potential to decrease diabetes-related complications. The education intervention is a strategic approach to improving diabetes care and prevention of foot disease, especially in settings with limited diabetes care resources. Future research will investigate the possibility of remote delivery to better meet patient and staff needs.Trial registrationPan African Clinical Trials Registry (PACTR) ‐ PACTR202201708421484: https://pactr.samrc.ac.za/TrialDisplay.aspx?TrialID=19363 or pactr.samrc.ac.za/Search.aspx.

  17. r

    Assistive technology for Dementia Care

    • researchdata.edu.au
    Updated Nov 25, 2024
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    Harris Celia; Brookman Ruth; Ruth Brookman; Celia Harris (2024). Assistive technology for Dementia Care [Dataset]. https://researchdata.edu.au/assistive-technology-dementia-care/3399510
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    Dataset updated
    Nov 25, 2024
    Dataset provided by
    Western Sydney University
    OSF
    Authors
    Harris Celia; Brookman Ruth; Ruth Brookman; Celia Harris
    Description

    This README document provides details for the data file of the project “Technology for Dementia Care: What Would Good Technology Look Like and Do, from Carers’ Perspectives?”.

    Details of the data file:NTT Dataset.xlsxResponse_Number – Participant ID.

    Carer_Category – Unpaid (code=1) or Paid (code=2) carer.

    Carer_Experience – The nature of the carer’s experience with dementia care(Code: 2= I have a family member/friend living with dementia; 3= I used to have a family member/friend living with dementia; 4= I care for a family member/friend living with dementia; 5= I am a professional carer or healthcare worker working with people living with dementia; 6= I used to be a professional carer or healthcare worker working with people living with dementia).

    Age_Carer – The age of the carerCarer_Rel – The carer’s relationship to the person/s with dementia (PWD) e.g., nurse, adult child, granddaughter, niece, pastoral care worker, physiotherapist, friend etc)

    Gender_Carer – The gender of the carer (1=female; 2=male).

    PWD_issue1 – Carers’ free responses (coded) to a question asking what are 3 issues or difficulties that impact the most on the lives of people with dementia. (1st identified issue)(Codes: 1=Participating in meaningful acivities; 2=Managing finances and making decisions; 3=Engaging socially; 4=Mobility/transport; 5=Activities of daily living/wayfinding/orientation; 6=Difficulty accessing services; 7=Impact on carers; 8=Stigmaattached to dementia; 9=Psychological impact and symptoms of PWD

    PWD_issue2 – As above (2nd identified issue).

    PWD_issue3 – As above (3rd identified issue).Carer_issue1 –Carers’ free responses (coded) to a question asking what are the three issues or difficulties that impact the most on the lives of dementia caregivers (1st identified issue)(Code: 1= Economic/Financial, 2= Psychological, 3 = Physical, 4 =Systems/Services; 5 = Caring/Knowledge and Education – Note: Codes 2 and 3 were collapsed into ‘Psychological and Health’Carer_issue2 –As above (2nd identified issue)Carer_issue3 –As above (3rd identified issue)

    Carer_Solutions1 – Carers’ free responses (coded) to a question asking if they have used smart home technology as a support to help care for a person with dementia(Code: 1 = Never and not interested; 2 = Not used but interested; 3 = Used but discontinued; 4 = Currently Used)

    Carer_Solutions2 – Carers’ free responses (coded) to a question asking if they have used non-technological reminders as a support to help care for a person with dementia

    Carer_Solutions3 – Carers’ free responses (coded) to a question asking if they have used technological mementos as a support to help care for a person with dementia

    Carer_Solutions4 – Carers’ free responses (coded) to a question asking if they have used wearable technologies as a support to help care for a person with dementia

    Carer_Solutions5 – Carers’ free responses (coded) to a question asking if they have used social technologies as a support to help care for a person with dementia

    Carer_Solutions6 – Carers’ free responses (coded) to a question asking if they have used technological reminders as a support to help care for a person with dementia

    Carer_Solutions7 – Carers’ free responses (coded) to a question asking if they have used non-technological mementos as a support to help care for a person with dementia

    Carer_Solutions8 – Carers’ free responses (coded) to a question asking if they have used non-technological social tools as a support to help care for a person with dementia

    Perceived_Tech_Uses – Carers' free responses (coded) to a question asking how assistive technology might be helpful to a caregiver(Code:0 = Not Helpful; 1 = ADLs/Independence; 2 = Safety/Monitoring, 3 = Leisure/Entertainment; 4 = Social Engagement; 5 = Reduce Carer Burden)

    Perceived_Tech_Barriers – Carers’ free responses (coded) to a question asking what might be hard about using technology for people living with dementia)(Code: 1 = Don't know how to use, can't learn, too many steps; 2 = Causes anxiety, confusion; 3 = Deaf/blind; 4 = Need more, real interactions; 5 = Challenge independence; 6 =Can't troubleshoot; 7 = Trouble holding, touching, size)

  18. f

    Data from: Household concepts of wellbeing and the contribution of...

    • datasetcatalog.nlm.nih.gov
    • plos.figshare.com
    Updated Aug 22, 2018
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    Squire, S. Bertel; Mphwatiwa, Treza; Niessen, Louis W.; Desmond, Nicola; Bates, M. Jane; Ardrey, Jane (2018). Household concepts of wellbeing and the contribution of palliative care in the context of advanced cancer: A Photovoice study from Blantyre, Malawi [Dataset]. https://datasetcatalog.nlm.nih.gov/dataset?q=0000656734
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    Dataset updated
    Aug 22, 2018
    Authors
    Squire, S. Bertel; Mphwatiwa, Treza; Niessen, Louis W.; Desmond, Nicola; Bates, M. Jane; Ardrey, Jane
    Area covered
    Malawi, Blantyre
    Description

    IntroductionCancer and other life-limiting non-communicable diseases are on the increase in Africa affecting younger populations frequently diagnosed at an advanced stage of disease. The United Nations Sustainable Development Goal 3 aims for ‘healthy life and wellbeing for all at all ages’, though there is a limited understanding of wellbeing particularly from patients’ and families’ perspectives in these populations. Palliative care is an approach which aims to improve the quality of life for patients and families affected by life-limiting disease, though access to palliative care has been described as an issue which is ‘largely ignored’ on the global health agenda. The aim of this Photovoice study was to explore patient and family perspectives of wellbeing and the contribution of palliative care following a diagnosis of advanced cancer in Blantyre, Malawi.MethodsBetween November 2016 and February 2017, 13 co-researchers (6 patients receiving palliative care for advanced cancer and 7 un-paid family caregivers) gathered photographs to depict aspects of their daily lives. Participatory analysis was conducted and an advocacy event (including photographic exhibits) held.ResultsWellbeing was described as seeing improvements in the patients’ function facilitating inclusion in activities of daily living (including income generation) that had not previously been possible due to their illness. Family caregivers, neighbours and community members play a key role as ‘courage givers’ supported by health workers and religious groups, though discrimination in the form of social exclusion was also reported to be significant with patients expressing that they may be considered ‘prematurely dead’ in their community. Palliative care improves wellbeing by providing pain and symptom management enabling patients and / or family caregivers to return to household and income generating tasks. Through close interaction with households and ongoing counselling palliative care services assist to reduce fear and discrimination.ConclusionsTo achieve Sustainable Development Goal 3 for patients and families affected by life limiting illnesses in low resource settings, further understanding of the frequency and impact of discrimination is required as well as improved access to palliative care.

  19. Unpaid carers by Number of people with a long-term health problem or...

    • statistics.ukdataservice.ac.uk
    csv, zip
    Updated Sep 20, 2022
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    Office for National Statistics; National Records of Scotland; Northern Ireland Statistics and Research Agency; UK Data Service. (2022). Unpaid carers by Number of people with a long-term health problem or disability (Council Areas in Scotland) 2011 [Dataset]. https://statistics.ukdataservice.ac.uk/dataset/unpaid-carers-number-people-long-term-health-problem-or-disability-council-areas-scotland
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    csv, zipAvailable download formats
    Dataset updated
    Sep 20, 2022
    Dataset provided by
    Office for National Statisticshttp://www.ons.gov.uk/
    UK Data Servicehttps://ukdataservice.ac.uk/
    Authors
    Office for National Statistics; National Records of Scotland; Northern Ireland Statistics and Research Agency; UK Data Service.
    License

    Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
    License information was derived automatically

    Area covered
    Scotland
    Description

    Dataset population: Households

    Unpaid carers

    A person is a provider of unpaid care if they look after or give help or support to family members, friends, or neighbours because of long-term physical or mental ill health or disability, or problems related to old age.

    This does not include any activities as part of paid employment.

    Number of people with a long-term health problem or disability

    This variable records the number of people in the household who may or may not have a long-term health problem or disability.

    A long-term health problem or disability that limits a person's day-to-day activities, and has lasted, or is expected to last, at least 12 months. This includes problems that are related to old age. People were asked to assess whether their daily activities were limited a lot or a little by such a health problem, or whether their daily activities were not limited at all.

  20. Data from: S1 Dataset -

    • plos.figshare.com
    bin
    Updated Sep 20, 2023
    + more versions
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    Tunzo L. Mcharo; Masunga K. Iseselo; Samwel Edward Kahema; Edith A. M. Tarimo (2023). S1 Dataset - [Dataset]. http://doi.org/10.1371/journal.pone.0280698.s002
    Explore at:
    binAvailable download formats
    Dataset updated
    Sep 20, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Tunzo L. Mcharo; Masunga K. Iseselo; Samwel Edward Kahema; Edith A. M. Tarimo
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    BackgroundHeart failure (HF) continues to be a global health problem with its ramifications more pronounced in underdeveloped countries. Family members play a pivotal part in patient management which may influence the patient’s overall quality of life. Prolonged delay in attendance to health care facilities among patients indicates ineffective support from family caregivers. In the Tanzanian context, there is limited information about the experiences of family caregivers in caring for patients with HF. This study explored family caregivers’ experiences in caring for HF patients.MethodsA qualitative descriptive study design was conducted at Jakaya Kikwete Cardiac Institute in Dar es Salaam, Tanzania. A purposive sampling technique was used to select the potential participants. A sample size of 10 family caregivers of patients with HF was included in the study. Thematic analysis was used to derive the main theme and sub-themes.ResultsThree major themes were identified: demands for supportive care, new caring role and lifestyle, and professional support in caring for patients with HF. Caregivers needed social and financial support to facilitate the caring process. Learning to provide the required care at the right time was the new role acquired by caregivers while failing to participate in social events and caregiving in an unfavourable environment were reported as challenges in caregiving. However, compliance with instruction and effective interaction among the nurses and caregivers were considered to be positive professional support.ConclusionCaregivers need social and financial support to provide effective care to their patients. Caregiving is a learning process that needs continuous educational support to adapt to the new caring roles and challenges. Nurses should conduct regular assessments to explore caregivers’ needs, challenges, and concerns and provide timely counselling that can facilitate coping.

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Government of Canada, Statistics Canada (2020). Caregivers receiving financial support from government programs for providing care to family members or friends with a long-term health condition, physical or mental disability or problems related to aging [Dataset]. http://doi.org/10.25318/4410001201-eng
Organization logoOrganization logo

Caregivers receiving financial support from government programs for providing care to family members or friends with a long-term health condition, physical or mental disability or problems related to aging

4410001201

Explore at:
Dataset updated
Jan 8, 2020
Dataset provided by
Statistics Canadahttps://statcan.gc.ca/en
Government of Canadahttp://www.gg.ca/
Area covered
Canada
Description

Population aged 15 and older receiving financial support from government programs for providing care to relatives or friends with a long-term illness, disability or aging needs, 2012.

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