This report provides the findings from the Adult Social Care Outcomes Framework (ASCOF) in England for the period 1 April 2014 to 31 March 2015. The ASCOF draws on data from a number of collections; details of these data sources and which measures they are used for can be found in the Data Sources chapter within this report. Further details of the measures, including the purpose of the framework, can be found in the ASCOF Handbook of Definitions, which is published by the Department of Health. Please note: As part of the 2015-16 validation round, councils were invited to resubmit SALT 2014-15 data. 50 councils submitted restated data to NHS Digital and the revised data are now available as part of the 2015-16 SALT publication. Additionally, this restated data has been used to refresh the 2014-15 SALT-based indicators contained within the 2015-16 ASCOF publication. Links to these outputs are available in the Related Links, below. The ASCOF is part of a range of outcomes frameworks (alongside those of Public Health and the NHS) which collectively reflect the joint contribution of health and social care to improving outcomes. The ASCOF is used both locally and nationally to set priorities for care and support, measure progress and to strengthen transparency and accountability. Its purpose is three-fold: Locally, the ASCOF supports councils to improve the quality of care and support. The ASCOF fosters greater transparency in the delivery of adult social care, supporting local people to hold their council to account for the quality of the services they provide. Nationally, the ASCOF measures the performance of the adult social care system as a whole and its success in delivering high-quality, personalised care and support. The ASCOF measures how well care and support services achieve the outcomes that matter most to people. The measures are grouped into four domains which are typically reviewed in terms of movement over time. A number of these measures however have seen changes to their source data or definition which have resulted in year-on-year comparisons not being appropriate. Time-based comparisons are therefore not always provided and further explanation can be found in Chapter 3 (Comparability). In summary however, the new Short and Long Term Support (SALT) data collection has replaced the previous activity (RAP and ASC-CAR) collections. This impacts on the following measures: 1C, 1E, 1G, 2A, 2B and 2D. Furthermore, the introduction of SALT has also affected the eligible population used in determining the Adult Social Care Survey (ASCS) samples. The following measures are therefore also impacted 1A, 1B, 1I(1), 3A, 3D(1), 4A and 4B. As mentioned above, some of the measures included use survey data (the Adult Social Care Survey and the Survey of Adult Carers in England) and are therefore based on a sample of possible respondents. It is not possible to know the true value for the overall population in these cases however the variation present in the sampled data can be used to assess whether a change or difference is statistically significant. Where this is the case, statistical significance will be stated in the report. The non-survey-based measures use transactional data drawn from operational systems and so use all available data points. Any changes or differences presented, on the assumption of robust data quality, can therefore be taken as conclusive. ASCOF Indicator 1J The existing ASCOF Indicator 1A (Social Care related Quality of Life) tells us about the current (care-related) quality of life of people using social care. Following discussions in 2011 at the Outcomes and Information Development Board (OIDB), it was agreed that the Department of Health would commission a research project from the Quality and Outcomes of Person Centred Care Policy Research Unit (QORU) to develop a 'value added' measure of social care-related quality of life. This indicator, to be known as ASCOF Indicator 1J, will form part of the 2016-17 framework. The summary paper below (IIASC Report Summary 2014-15) describes the background, methods and results of the QORU study; the application of this calculation to existing data flows to derive aggregate local authority-level data; and the interpretation of these individual and aggregate measures, again drawing on the QORU study. A section covering the impact of changing the source of the eligible population for the survey from RAP in 2013-14 to SALT in 2014-15, as well as the change from Primary Client Group to Primary Support Reason as part of the inclusion criteria, is also included. A dataset of local authority data (based on 2014-15 Adult Social Care Survey Submissions) is provided (IIASC Dataset 2014-15) along with a calculator (IIASC 2014-15 Calculator) to enable councils to calculate and analyse their individual-level scores using their own 2014-15 ASCS data return. A similar dataset will be made available for 2015-16 in due course before this measure is included as part of the standard ASCOF reporting outputs for 2016-17. For further details, QORU's papers detailing the conclusions of the research and development phase of their work can be found via the 'Related links' section below. Any queries or comments should be directed to ascof@dh.gsi.gov.uk in the first instance.

The National Reporting System (NRS) for Adult Education, 2017-18 (NRS 2017-18) is a performance accountability system for the national adult education program that is authorized under the Adult Education and Family Literacy Act (AEFLA), title II of the Workforce Innovation and Opportunity Act (WIOA) of 2014. More information about the program is available at . NRS 2017-18 is a cross-sectional data collection that is designed to monitor performance accountability for the federally funded, state-administered adult education program. States are required to submit their progress in adult education and literacy activities by reporting data on the WIOA primary indicators of performance for all AEFLA program participants who receive 12 or more hours of service, as well as state expenditures on the adult education program. States may also report on additional, optional secondary measures that include outcomes related to employment, family, and community. The data collection is conducted using a web-based reporting system. NRS 2017-18 is a universe data collection activity, and all states are required to submit performance data. Key statistics that are produced from the data collection include student demographics, receipt of secondary school diploma or a high school equivalency (HSE) credential, placement in postsecondary education or training, measurable skill gain, and employment outcomes.

The aim of this longitudinal study was to investigate emerging adults’ mental health before and during the COVID-19 pandemic, and whether social support from mothers, fathers, and best friends moderated the change in mental health. Participants were 98 emerging adults (46% men) who were assessed prior to COVID-19 (Mage = 20.60 years) and during the first lockdown (Mage = 22.67 years). Results indicated that the pandemic did not uniformly lead to elevated levels of mental health problems, but instead depended on level of mental health problems prior to COVID-19 and the source of support. For emerging adults who already experienced more problems prior to COVID-19, more maternal support was related to decreases in general psychological distress and depressive symptoms, whereas more paternal support was related to increases in general psychological distress and depressive symptoms. Support from best friends were not associated with (changes in) mental health.All information about the content of the files is described in 'read me_van den Berg et al_2021.pdf'. This file also contains information about the recruitment, participants and data collection. Data and the syntax for the analyses as presented in the paper are also stored.

The National Post-acute and Long-term Care Study (NPALS) is a biennial study of major post-acute and long-term care providers and their services users. Seven provider settings are in included. NPALS collects survey data on the residential care community and adult day services sectors, and uses administrative data (available from CMS) for home health, nursing home, hospice, inpatient rehabilitation, and long-term care hospital sectors. The goals of the study are to: estimate the supply of paid, regulated post-acute and long-term care services providers; estimate key policy-relevant characteristics and practices of these providers; estimate the number of post-acute and long-term care services users; estimate key policy-relevant characteristics of these users; produce national and state estimates where feasible; compare across provider sectors; and monitor trends over time.

This data comes from an organisational survey conducted among organisations operating in the English adult social care sector between 2023 and 2024. The aim of the data collection was to gain a better understanding of how innovation and innovative capacity are distributed across the adult social care sector in England, as well as to identify perceived challenges and the availability of support. Respondents worked in organisations ranging from local authorities, NHS bodies, provider organisations (such as residential care homes and home care providers), supplier organisations (e.g. technology providers), and community organisations. Respondents tended to be in leadership roles, such as directors and operational staff at management level, but a range of roles was also represented. We invited any member of staff within any organisation in the sector who felt that they had a view on, and insight into, innovation to respond. We designed two separate but interlinked surveys: one for local authority respondents and one for all other respondents (i.e. from care provider and supplier organisations). The local authority survey included a suite of questions focused on how local authorities work to promote innovation in their local markets. The online surveys were operational between 1 June 2023 and 6 March 2024. The study information sheet (including a data privacy notice) was made available at the start of the survey, and respondents’ consent to take part was recorded electronically. The surveys comprised 32 questions in the provider survey and 34 in the local authority survey. These were mainly fixed-response questions, with four free-text option questions, as well as the option to attach further documentation describing an innovation that the organisation had carried out in the past five years. The surveys achieved 98 (provider survey) and 51 (local authority survey) responses. Respondents worked in organisations that had innovated in recent years and in which innovation was important, with expectations that it would become even more important in the future. Very few respondents had no experience of innovation. The data includes examples of innovation; what appears to drive and inspire innovation; the extent to which organisations possess the necessary capabilities for successful innovation (such as leadership, knowledge and learning, culture, and collaboration); and the barriers and facilitators to innovation.

The Adult Social Care Outcomes Framework (ASCOF) has been published annually since 2010-11, and draws on data from a number of collections. The ASCOF Handbook of Definitions, published by the Department of Health, provides in-depth information on the purpose of the framework, the construction of the constituent measures, and context for their interpretation. The ASCOF is used both locally and nationally to set priorities for care and support, measure progress and strengthen transparency and accountability. The purpose of the ASCOF is three-fold: Locally, the ASCOF supports councils to improve the quality of care and support. By providing robust, nationally comparable information on the outcomes and experiences of local people, the ASCOF supports meaningful comparisons between councils, helping to identify priorities for local improvement and stimulating the sharing of learning and best practice.

• The ASCOF fosters greater transparency in the delivery of adult social care, supporting local people to hold their council to account for the quality of the services they provide. A key mechanism for this is through councils’ local accounts, where the ASCOF is already being used as a robust evidence base to support councils’ reporting of their progress and priorities to local people.

• Nationally, the ASCOF measures the performance of the adult social care system as a whole and its success in delivering high-quality, personalised care and support. The framework will support Ministers in discharging their accountability to the public and Parliament for the adult social care system and will inform and support national policy development.

The ASCOF encompasses four domains. These are:

• Enhancing quality of life for people with care and support needs.

• Delaying and reducing the need for care and support.

• Ensuring people have a positive experience of care and support.

• Safeguarding adults whose circumstances make them vulnerable and protecting from avoidable harm.

Short and Long Term Support (SALT) annual statutory return to the Department of Health. Including referrals in and types of service for both long and short term support services.

Abstract copyright UK Data Service and data collection copyright owner. The Adult Learners' Lives project was a major National Research and Development Centre (NRDC) research study carried out by members of the Lancaster Literacy Research Centre. The overall aim of the project was to develop understandings of the relationships between learners' lives and the literacy, language and numeracy (LLN) learning in which they were engaged, and to draw out the implications for the Skills for Life strategy. Starting from the perspectives of the adult learners the project focused on issues around motivation, participation, persistence and engagement. The first year of the Adult Learners' Lives project concentrated on college environments. Working with teacher-researchers enabled the research to be embedded in real classrooms and ensured that it had an impact on practice. In the second year of the project the work was on other sites with learners in what has been referred to by others as provision for the 'hard to reach'. This included a drug support and aftercare centre, a young homeless scheme and a domestic violence project. Contact was also maintained with 53 learners who represent the longitudinal cohort of the study. Work was collaborative with practitioners from all sites which allowed for exploration of participation and engagement with learners who frequently have issues in their lives that impact upon learning. The project investigated adult learning at three case study sites of Blackburn, Lancaster and Liverpool. The study consists of a range of interviews with learners and teachers, field notes, observations, focus groups and participants' creative writing and photographs. Further information about the project can be found on the Adult Learners' Lives web page. Main Topics: Some of the initial outcomes of the research include:relationships matter in learning, including teacher/student and student/student relationshipslearning environments often offer structure and stability in learners’ livesbeing in control is key motivation for learninghealth (both physical and mental) is often a barrier to learningthere is a need to assess and recognise small gains in LLN skills and the wider benefits to learning and learners. Learners value knowing what progress they have madethere is a complex relationship between teaching and learning: learners do not learn what teachers teachthere needs to be more effective inter-agency response to the social and learning needs of students seeking asylumin English for Speakers of Other Languages (ESOL) classes, learners often express satisfaction with their classes, but there is a need for more free use of language and 'bringing the outside in' as part of the learning processinvolving teachers in research projects can have great impact, on the teachers’ professional development, on the culture of their workplaces, and on regional networks Purposive selection/case studies Face-to-face interview Observation Focus group Video recording 2002 2005 ACADEMIC ACHIEVEMENT ACCESS TO EDUCATION ADDICTION ADULT EDUCATION INS... ADULT EDUCATION TEA... ASPIRATION COLLEGE TEACHERS COMPUTER LITERACY CREATIVE WRITING CURRICULUM CURRICULUM DEVELOPMENT DAY CARE DISADVANTAGED GROUPS DYSLEXIA EDUCATION EDUCATIONAL ADMINIS... EDUCATIONAL BACKGROUND EDUCATIONAL CERTIFI... EDUCATIONAL DEVELOP... EDUCATIONAL NEEDS EDUCATIONAL OBJECTIVES EDUCATIONAL OPPORTU... EDUCATIONAL PLANNING EDUCATIONALLY DISAD... EMPLOYMENT HISTORY ENGLISH LANGUAGE ED... ETHNIC MINORITIES EXTENDED FAMILY England FAMILY COHESION FAMILY LIFE FIELDS OF STUDY FOREIGN LANGUAGES A... HIGHER AND FURTHER ... HIGHER EDUCATION IN... HOMELESSNESS HOUSING Higher and further ... ILL HEALTH ILLITERACY ILLITERATES IMMIGRANTS INTERNET USE LANGUAGE DISCRIMINA... LEARNING LEARNING DISABILITIES LEARNING METHODS LEISURE TIME ACTIVI... LIBRARY USERS LIFE HISTORIES LIFELONG EDUCATION LITERACY MATHEMATICS EDUCATION MINORITY LANGUAGE U... MINORITY LANGUAGES NUMERACY RACISM READING ACTIVITY READING SKILLS REFUGEES RELIGIOUS BELIEFS SCHOOLS SELF ESTEEM SOCIAL DISADVANTAGE SOCIAL EXCLUSION SOCIAL HOUSING SOCIAL PROBLEMS SOCIAL SECURITY BEN... SOCIAL SUPPORT SPECIAL NEEDS STUDENTS SPELLING SKILLS STUDENTS COLLEGE TEACHER STUDENT REL... TEACHER TRAINING TEACHERS TEACHING METHODS UNEMPLOYMENT VOLUNTARY WORK WRITING COMPOSITION WRITING SKILLS

The National Longitudinal Study of Adolescent to Adult Health (Add Health) Parent Study Public Use collection includes data gathered as part of the Add Health longitudinal survey of adolescents. The original Add Health survey is a longitudinal study of a nationally representative sample of adolescents in grades 7-12 in the United States during the 1994-1995 school year. In Wave 1 of the Add Health Study (1994-1995), a parent of each Add Health Sample Member (AHSM) was interviewed. The Add Health Parent Study gathered social, behavioral, and health survey data in 2015-2017 from the parents of Add Health Sample members who were originally interviewed at Wave 1 (1994-1995). Wave 1 Parents were asked about their adolescent children, their relationships with them, and their own health. The Add Health Parent Study interview is a comprehensive survey of Add Health parents' family relations, education, religious beliefs, physical and mental health, social support, and community involvement experiences. In addition, survey data contains cognitive assessments, a medications log linked to a medications database lookup table, and household financial information collection. The survey also includes permission for administrative data linkages and includes data from a Family Health History Leave-Behind questionnaire. Interviews were conducted with parents' spouse/partner when available. Research domains targeted in the survey and research questions that may be addressed using the Add Health Parent Study data include: Health Behaviors and Risks Many health conditions and behaviors run in families; for example, cardiovascular disease, obesity and substance abuse. How are health risks and behaviors transmitted across generations or clustered within families? How can we use information on the parents' health and health behavior to better understand the determinants of their (adult) children's health trajectories? Cognitive Functioning and Non-Cognitive Personality Traits What role does the intergenerational transmission of personality and locus of control play in generating intergenerational persistence in education, family status, income and health? How do the personality traits of parents and children, and how they interact, influence the extent and quality of intergenerational relationships and the prevalence of assistance across generations? Decision-Making, Expectations, and Risk Preferences Do intergenerational correlations in risk preferences represent intergenerational transmission of preferences? If so, are the transmission mechanisms a factor in biological and environmental vulnerabilities? Does the extent of genetic liability vary in response to both family-specific and generation-specific environmental pressures? Family Support, Relationship Quality and Ties of Obligation How does family complexity affect intergenerational obligations and the strength of relationship ties? As parents near retirement: What roles do they play in their children's lives and their children in their lives? What assistance are they providing to their adult children and grandchildren? What do they receive in return? And how do these ties vary with divorce, remarriage and familial estrangement? Economic Status and Capacities What are the economic capacities of the parents' generation as they reach their retirement years? How have fared through the wealth and employment shocks of the Great Recession? Are parents able to provide for their own financial need? And, do they have the time and financial resources to help support their children and grandchildren and are they prepared to do so?

The Statistical Report and Internet tables present information provided by Councils with Adult Social Services Responsibilities (CASSRs) relating to home care services purchased or provided during a survey week in September 2008. Details were collected on the number of home care contact hours provided by each sector and the number of households receiving services.

Abstract copyright UK Data Service and data collection copyright owner.A three part study by the National Institute of Adult Education to enquire into the adequacy of provision in selected areas by the various agencies for adult education. It included surveys of the general adult population, students in adult education and tutors, between April 1966 and June 1968. Seven areas were selected for the survey, based on four factors for which statistical information could be obtained: terminal education age; occupational composition (social class); proportion of domestic rateable value from property of high rateable value; and inter-censal population movement between 1951 and 1961. The survey of adults (SN:66040) collected data by means of interviews with a random sample of the adult population of each area, and covered attitudes to, knowledge of, and participation in adult educational activities. The survey of students (SN:66041) collected data by means of questionnaires completed by a random sample of students currently enrolled in Local Education Authority, extra-mural and Workers' Educational Association classes, covering the same points with additional data on circumstances relating to aspects of the class attended. A third survey (SN:66042) collected data by means of enquiries addressed to part-time tutors in adult education to provide information on staffs' own motives and attitudes, recruitment, future teaching intentions and also their views as to students' motivations and satisfactions. Main Topics: Attitudinal/Behavioural Questions In this survey of leisure time and educational facilities, a random sample of the adult population in each of the 7 areas was asked for information on the amount of personal leisure time available and activities undertaken in it, respondent's membership of local groups or clubs, knowledge of facilities for adult education locally and opinion on advertising of such facilities, details of any participation in adult education with reasons for enrolling and degree of satisfaction obtained, reasons for not enrolling in any such classes and future joining intentions, respondent's interests and things about which he would like to know more, preferences for class times, opinions on classes currently offered in area and on the provision of adult education generally (e.g. how much money should be spent on it, amount of general interest in area in such classes, etc.) From a list of 24 given reasons for adults going to classes, respondent was asked to indicate whether each reason was, or would be, important to him personally, and to people generally. A similar list of 18 reasons for not going to classes required the same response. Respondent was asked for his opinion on the sort of people who usually attend such classes (sex, age, marital status, type of personality), on the instructors, accommodation (comfortable or uncomfortable, modern or old-fashioned, specially designed for adults or for children) and atmosphere (pleasant or unpleasant). Respondent was further asked to list four radio or television series from which he had gained some educational stimulus and actual knowledge and, finally, for his opinion on his own level of performance at school. Background Variables Sex, marital status, age cohort, number of people in household, present occupation, type of industry, business or service, (if housewife, or retired person, last full-time occupation and type of business) head of household's present occupation, length of tenure of house or residence, schools (type of school last attended, later education and age when finished full-time education), and participation of other members of household in adult education. Simple random sample Face-to-face interview

The project aimed to understand whether young adults who take care of a loved-one (young adult caregivers; YACs) differ in their perceived life balance and psychosocial functioning as compared to young adults without care responsibilities (non-YACs). In addition, this project aimed to understand how YACs evaluated a tool to support informal careg

ivers. This tool (“Caregiver Balance”; https://balans.mantelzorg.nl) is specifically designed to support informal caregivers taking care of a loved-one in the palliative phase and could potentially be adapted to meet the needs of YACs.

In this project, we collected data of 74 YACs and 246 non-YACs. Both groups completed questionnaires, and the YACs engaged in a usability test. The questionnaire data was used to compare the perceived life balance and psychological functioning between YACs and non-YACs, aged 18-25 years, and studying in the Netherlands (study 1). Furthermore, we examined the relationship between positive aspects of caregiving and relational factors, in particular, relationship quality and collaborative coping among YACs (study 2). Finally, we conducted a usability study where we interviewed YACs to understand the needs and preferences towards a supportive web-based solution (study 3).

Table: Study details and associated files

    Number
    Study Name
    Study Aim
    Study Type
    Type of data
    Associated Files


    1
    Perceived life balance among young adult students: a comparison between caregivers and non-caregivers
    Compare the perceived life balance and psychological functions among student young adult caregivers aged 18-25 years (YACs) with young adult without care responsibilities
    Survey study
    Quantitative

ENTWINE_YACs_nonYACsSurvey_RawData

ENTWINE_PerceivedLifeBalanceSurvey_YACs_nonYACs_CleanedData

ENTWINE_ PerceivedLifeBalanceSurvey _Syntax

ENTWINE_YACs_nonYACsSurvey_codebook

    2
    Examining the relationship of positive aspects of caregiving with relational factors among young adult caregivers
    Examine the relationship of positive aspects of caregiving with relational factors, in particular, relationship quality and collaborative coping among a particular group of ICGs, young adult caregivers (YACs), aged 18-25 years.
    Survey study
    Quantitative

ENTWINE_YACs_nonYACsSurvey_RawData

ENTWINE_PositiveAspectsCaregiving_Survey_YACs_cleanedData

ENTWINE_PositiveAspectsCaregiving_Survey_Syntax

ENTWINE_YACs_nonYACsSurvey_codebook

    3
    Exploring the support needs of young adult caregivers, their issues, and preferences towards a web-based tool
    Explore (i) challenges and support needs of YACs in caregiving, (ii) their needs towards the content of the ‘MantelzorgBalans’ tool, and (iii) issues they encountered in using the tool and their preferences for adaptation of the tool.
    Usability study

Qualitative and Quantitative

ENTWINE_Needs_Web-basedTools_YACs_Interview_Usability_RawData [to be determined whether data can be shared]

ENTWINE_Needs_Web-basedTools_YACs_Questionnaires_RawData

Description of the files to be uploaded

Study 1: Perceived life balance among young adult students: a comparison between caregivers and non-caregivers

ENTWINE_YACs_nonYACsSurvey_RawData: SPSS file with the complete, raw, pseudonomyzed survey data. The following cleaned dataset ‘ENTWINE_PerceivedLifeBalanceSurvey_YACs_nonYACs_CleanedData’ was generated from this raw data.

ENTWINE_PerceivedLifeBalanceSurvey_YACs_nonYACs_CleanedData: SPSS file with the cleaned dataset having the following metadata -

Population: young adult caregivers and young adult non-caregivers aged 18-25 years studying in the Netherlands;

Number of participants: 320 participants in total (74 young adult caregivers and 246 young adult non-caregivers)

Time point of measurement: Data was collected from December 2020 till March 2022

Type of data: quantitative

Measurements included, topics covered: perceived life balance (based on the Occupational balance questionnaire [1]), burnout (Burnout Assessment Tool [2]), negative and positive affect (Positive and Negative Affect Schedule [3]), and life satisfaction (Satisfaction with Life Scale [4])

Short procedure conducted to receive data: online survey on Qualtrics platform

SPSS syntax file ‘ENTWINE_ PerceivedLifeBalanceSurvey _Syntax’ was used to clean and analyse ENTWINE_PerceivedLifeBalanceSurvey_YACs_nonYACs_CleanedData dataset

ENTWINE_YACs_nonYACsSurvey_codebook: Codebook having the variable names, variable labels, and the associated code values and code labels for ENTWINE_PerceivedLifeBalanceSurvey_YACs_nonYACs_CleanedData dataset

Study 2: Examining the relationship of positive aspects of caregiving with relational factors among young adult caregivers

ENTWINE_YACs_nonYACsSurvey_RawData: SPSS file with the complete, raw survey data. The following cleaned dataset ‘ENTWINE_PositiveAspectsCaregiving_Survey_YACs_cleanedData’ was generated from this raw data.

ENTWINE_PositiveAspectsCaregiving_Survey_YACs_cleanedData: SPSS file with the cleaned dataset having the following metadata -

Population: young adult caregivers aged 18-25 years studying in the Netherlands;

Number of participants: 74 young adult caregivers

Time point of measurement: Data was collected from December 2020 till March 2022

Type of data: quantitative

Measurements included, topics covered: positive aspects of caregiving (positive aspects of caregiving scale [5]), relationship quality (Relationship Assessment Scale [6]), collaborative coping (Perception of Collaboration Questionnaire [7] )

Short procedure conducted to receive data: online survey on Qualtrics platform.

SPSS syntax file ‘ENTWINE_PositiveAspectsCaregiving_Survey_Syntax’ was used to clean and analyse ‘ENTWINE_PositiveAspectsCaregiving_Survey_YACs_cleanedData’ dataset.

ENTWINE_YACs_nonYACsSurvey_codebook: Codebook having the variable names, variable labels, and the associated code values and code labels for ENTWINE_PositiveAspectsCaregiving_Survey_YACs_cleanedData dataset.

Study 3: Exploring the support needs of young adult caregivers, their issues, and preferences towards a web-based tool

ENTWINE_Needs_Web-basedTools_YACs_Interview_Usability_RawData: Pseudonymized word file including 13 transcripts having the qualitative data from interview and usability testing with the following metadata –

Population: young adult caregivers aged 18-25 years studying in the Netherlands; 13 participants in total

Time point of measurement: data was collected from October 2021 till February 2022

Type of data: qualitative and quantitative

Measurements included, topics covered: Caregiving challenges, support needs and barriers, usability needs, preferences and issues towards eHealth tool

Short procedure conducted to receive data: Online interviews

ENTWINE_Needs_Web-basedTools_YACs_Questionnaires_RawData: Excel sheet having the quantitative questionnaire raw data with the following metadata

Population: young adult caregivers aged 18-25 years studying in the Netherlands; 13 participants in total

Time point of measurement: data was collected from October 2021 till February 2022

Type of data: qualitative and quantitative

Measurements included, topics covered: User experience (user experience questionnaire [8]), satisfaction of using the web-based tool (After scenario questionnaire [9]), Intention of use and persuasive potential of the eHealth tool (persuasive potential questionnaire [10])

Short procedure conducted to receive data: Online questionnaire

Data collection details

All data was collected, processed, and archived in accordance with the General Data Protection Regulation (GDPR) and the FAIR (Findable, Accessible, Interoperable, Reusable) principles under the supervision of the Principal Investigator.

The principal researcher and a team of experts (supervisors) in the field of health psychology and eHealth (University of Twente, The Netherlands) reviewed the scientific quality of the research. The studies were piloted and tested before starting the collection of the data. For the survey study, the researchers monitored the data collection weekly to ensure it was running smoothly.

The ethical review board, Centrale Ethische Toetsingscommissie of the University Medical Center Groningen, The Netherlands (CTc), granted approval for this research (Registration number: 202000623).

Participants digitally signed informed consent for participating in the study.

Terms of use

Interested persons can send a data request by contacting the principal investigator (Prof. dr. Mariët Hagedoorn, University Medical Center Groningen, the Netherlands mariet.hageboorn@umcg.nl).

Interested persons must provide the research plan (including the research question, methodology, and analysis plan) when requesting for the data.

The principal investigator reviews the research plan on its quality and fit with the data and informs the interested person(s).

(Pseudo)anonymous data of those participants who agreed on the reuse of their data is available on request for 15 years from the time of completion of the PhD project.

Data will be available in Excel or SPSS format alongside the variable codebook after the completion of this PhD project and publication of the study results.

References

1. Wagman P, Håkansson C. Introducing the Occupational Balance Questionnaire (OBQ). Scand J Occup Ther 2014;21(3):227–231. PMID:24649971

2. Schaufeli WB, Desart S, De Witte H. Burnout assessment tool (Bat)—development, validity, and reliability. Int J Environ Res Public Health 2020;17(24):1–21. PMID:33352940

3. Watson D, Clark LA, Tellegen A. Development and Validation of Brief Measures of Positive and Negative Affect: The

his statistical report presents information on residential and nursing care placements funded by Councils with Adult Social Services Responsibilities (CASSRs). The information used within this publication is collected on the annual SR1 form as at 31 March. The figures on Supported Residents are for adults only. It is useful to consider the statistics in this report alongside statistics on day and domiciliary services provided to people based in the community (see section on related publications). This report also includes analysis of the Public Service Agreement(PSA) target which relates to older people being supported intensively in their own home as an alternative to residential care.

The Study of Food Safety Needs of Adult Day Care Centers in the Child and Adult Care Food Program report identified and evaluated food safety knowledge gaps and education needs of adult day care center program operators. To identify and evaluate food safety education needs, the study team administered a 20-minute survey to a nationally representative sample of directors of adult day care centers that participated in CACFP across the United States in 2018. Overall, this study provides information on knowledge gaps related to food safety practices in adult day care centers and illuminates the best way for center staff to receive future food safety training and information support.

This report provides the findings from the Safeguarding Adults Return (SAR) data collection. This is a mandatory collection which records information about individuals for whom safeguarding referrals were opened during the reporting period (also referred to as adults at risk) and case details (also referred to as allegations) for safeguarding referrals which concluded during the reporting period. The purpose of the collection is to provide information which can help stakeholders to understand where abuse may occur and improve services for individuals affected by abuse. 2013/14 is the first year the SAR has been collected. The SAR was one of the outcomes of the Zero Based Review of adult social care data collections and it has replaced the Abuse of Vulnerable Adults (AVA) return. It covers the same subject area as the AVA return but is much smaller in size and there are no directly comparable data items. Alerts and action types are no longer collected and demographics are recorded based on counts of individuals rather than referrals. Time series analysis across the two returns is not possible. The SAR data are recorded by adult safeguarding teams based in the 152 Councils with Adult Social Services Responsibilities (referred to as CASSRs or councils within this report) in England. At the end of the reporting year these data are submitted to the Health and Social Care Information Centre (HSCIC) in an aggregate form through Omnibus, a secure online data collection system.

Abstract The objective of the present study was to confirm the validity of the Guedes Tool, an instrument for assessing informal social support (ISS) for older adults, and to estimate its accuracy. Confirmatory factor analysis (CFA) was performed with the CFI and RMSEA indexes and the chi-square relationship (X2) with degrees of freedom (gl). For the analysis of accuracy, the area under the ROC curve, sensitivity (S) and specificity (SP) values, positive predictive value (PV+), negative predictive value (PV-) and the Younder’s J Index (J) were verified to confirm the best cut-off point. Data collection was carried out with older adults from Natal and metropolitan region in 2018. The inclusion criteria were: be 60 years old or older, with preserved cognitive levels. Two hundred and six older adults participated in the CFA study and 197 participated in the accuracy analysis. The estimates of the indexes evaluated in the CFA were: X2/gl =1.33, RMSEA=0.04 (95% CI 0.025-0.054) and CFI=0.91. The ROC curve obtained an area of 0.78 (CI95: 0.72-0.85; p

Abstract copyright UK Data Service and data collection copyright owner.The Surveys of Psychiatric Morbidity in Great Britain aim to provide up-to-date information about the prevalence of psychiatric problems among people in Great Britain, as well as their associated social disabilities and use of services. The series began in 1993, and so far consists of the following surveys:OPCS Surveys of Psychiatric Morbidity: Private Household Survey, 1993, covering 10,000 adults aged 16-64 years living in private households;a supplementary sample of 350 people aged 16-64 with psychosis, living in private households, which was conducted in 1993-1994 and then repeated in 2000;OPCS Surveys of Psychiatric Morbidity: Institutions Sample, 1994, which covered 1,200 people aged 16-64 years living in institutions specifically catering for people with mental illness;OPCS Survey of Psychiatric Morbidity among Homeless People, 1994, which covered 1,100 homeless people aged 16-64 living in hostels for the homeless or similar institutions. The sample also included 'rough sleepers';ONS Survey of Psychiatric Morbidity among Prisoners in England and Wales, 1997;Mental Health of Children and Adolescents in Great Britain, 1999;Psychiatric Morbidity among Adults Living in Private Households, 2000, which repeated the 1993 survey;Mental Health of Young People Looked After by Local Authorities in Great Britain, 2001-2002;Mental Health of Children and Young People in Great Britain, 2004; this survey repeated the 1999 surveyAdult Psychiatric Morbidity Survey, 2007; this survey repeated the 2000 private households survey. The Information Centre for Health and Social Care took over management of the survey in 2007.Adult Psychiatric Morbidity Survey, 2014: Special Licence Access; this survey repeated the 2000 and 2007 surveys. NHS Digital are now responsible for the surveys, which are now sometimes also referred to as the 'National Survey of Mental Health and Wellbeing'. Users should note that from 2014, the APMS is subject to more restrictive Special Licence Access conditions, due to the sensitive nature of the information gathered from respondents.Mental Health of Children and Young People in England, 2017: Special Licence; this survey repeated the 1999 and 2004 surveys, but only covering England. Users should note that this study is subject to more restrictive Special Licence Access conditions, due to the sensitive nature of the information gathered from respondents.The UK Data Service holds data from all the surveys mentioned above apart from the 1993-1994/2000 supplementary samples of people with psychosis. The Adult Psychiatric Morbidity Survey, 2007 (APMS 2007) is the third survey of psychiatric morbidity in adults living in private households. The main aim of the survey was to collect data on poor mental health among adults aged 16 and over living in private households in England. The specific objectives of the survey were:to estimate the prevalence of psychiatric morbidity according to diagnostic category in the adult household population of England. The survey included assessment of common mental disorders; psychosis; borderline and antisocial personality disorder; Asperger syndrome, substance misuse and dependency; and suicidal thoughts, attempts and self-harmto screen for characteristics of eating disorder, attention deficit hyperactivity disorder, posttraumatic stress disorder, and problem gamblingto examine trends in the psychiatric disorders that have been included in previous survey years (1993 and 2000) to identify the nature and extent of social disadvantage associated with mental illnessto gauge the level and nature of service use in relation to mental health problems, with an emphasis on primary care to collect data on key current and lifetime factors that might be associated with mental health problems, such as experience of stressful life events, abusive relationships, and work stressto collect data on factors that might be protective against poor mental health, such as social support networks and neighbourhood cohesion Further information can be found on the Information Centre for Health and Social Care survey web page. For the fourth edition (September 2017), three new weighting variables were added to the data, to be used for analysis when combining the 2007 and 2014 APMS datasets (the 2014 survey is not yet available from the UK Data Service). In addition, derived alcohol variables DVAudit1, AUDITgp, SADQCSC, SADQGP, AUDSAD2, AUDSAD3 and DRNKPROB were replaced to correct previous errors. The documentation has also been updated to cover these changes. Main Topics: Topics covered include: general health and health conditions; activities of daily living; caring responsibilities; service use and medication; self-perceived height and weight (for calculation of BMI); common mental disorders; suicidal behaviour and self-harm; psychosis screening questionnaire; attention deficit hyperactivity disorder; work related stress; smoking; drinking; drug use; personality disorder and social functioning; problem gambling; Asperger syndrome; post traumatic stress disorder and military experience; domestic violence and abuse; eating disorder; discrimination and sexual identity; intellectual functioning (TICS-M, National Adult Reading Test, Animal naming test); stressful life events; social support networks; parenting; religion and spirituality; social capital and participation; socio-demographics. Standard Measures CIS-R: revised Clinical Interview Schedule SCID-II: Structured Clinical Interview for DSM-IV AUDIT: Alcohol Use Disorders Identification Test SADQ-C: Severity of Alcohol Dependence Questionnaire SF-12: General health NART: National Adult Reading Test TICS-m: modified Telephone Interview for Cognitive Screening. Multi-stage stratified random sample Face-to-face interview Self-completion 2006 2007 ADULTS AGE AGGRESSIVENESS ALCOHOL USE ALCOHOLIC DRINKS ALCOHOLISM ALLERGIES AMPHETAMINES ANABOLIC STEROIDS ANGER ANTHROPOMETRIC DATA ANTISOCIAL BEHAVIOUR ANXIETY ANXIETY DISORDERS ARTHRITIS ASPERGERS SYNDROME ASSAULT ASTHMA AUTISM SPECTRUM DIS... BACTERIAL AND VIRUS... BEDROOMS BEHAVIOURAL DISORDERS BEREAVEMENT BRONCHITIS BUILDING MAINTENANCE BULLYING CANCER CANNABIS CARE IN THE COMMUNITY CARE OF DEPENDANTS CARERS BENEFITS CHILD BENEFITS CHRONIC ILLNESS COCAINE COGNITION DISORDERS COHABITATION CONCENTRATION COUNSELLING COUNSELLORS DAY CARE DEBILITATIVE ILLNESS DEBTS DEMENTIA DEPRESSION DIABETES DIGESTIVE SYSTEM DI... DISABILITIES DISABLED FACILITIES DISCRIMINATION DISEASES DOMESTIC VIOLENCE DRINKING OFFENCES DRUG ABUSE DRUG ADDICTION DRUG PSYCHOTHERAPY ... DRUG SIDE EFFECTS DRUG USE EATING DISORDERS ECONOMIC ACTIVITY ECSTASY DRUG EDUCATIONAL BACKGROUND EMOTIONAL DISTURBANCES EMOTIONAL STATES EMPLOYEES EMPLOYMENT EMPLOYMENT HISTORY EMPLOYMENT PROGRAMMES EPILEPSY ETHNIC GROUPS EVERYDAY LIFE England FAMILY BENEFITS FAMILY ENVIRONMENT FAMILY MEMBERS FATIGUE PHYSIOLOGY FEAR FINANCIAL DIFFICULTIES FINANCIAL RESOURCES FRIENDS FULL TIME EMPLOYMENT FURNISHED ACCOMMODA... GAMBLING GENDER GENERAL PRACTITIONERS HAPPINESS HEADS OF HOUSEHOLD HEALTH HEALTH CONSULTATIONS HEALTH PROFESSIONALS HEALTH SERVICES HEARING IMPAIRMENTS HEART DISEASES HEATING SYSTEMS HEIGHT PHYSIOLOGY HEROIN HOME HELP HOMELESSNESS HOSPITAL OUTPATIENT... HOSPITAL SERVICES HOSPITALIZATION HOURS OF WORK HOUSEHOLD INCOME HOUSEHOLDS HOUSING HOUSING AGE HOUSING CONDITIONS HOUSING TENURE Health Health care service... ILL HEALTH INCOME INDUSTRIES INFORMAL CARE INJURIES INTERPERSONAL CONFLICT INTERPERSONAL RELAT... JOB HUNTING JOB SEEKER S ALLOWANCE LANDLORDS LEARNING DISABILITIES LEISURE TIME ACTIVI... LIFE EVENTS LIVING CONDITIONS LONELINESS LSD DRUG MAGIC MUSHROOMS MARITAL STATUS MATERNITY BENEFITS MEDICAL CARE MEDICAL DIAGNOSIS MEDICAL HISTORY MEDICAL PRESCRIPTIONS MEDICAL TREATMENT M... MEDICINAL DRUGS MEMORY MEMORY DISORDERS MENTAL DISORDERS MENTAL HEALTH METHADONE MIGRAINES MILITARY PERSONNEL MORAL CONCEPTS MORBIDITY MOTOR PROCESSES Morbidity and morta... NEIGHBOURHOODS NERVOUS SYSTEM DISE... NEUROTIC DISORDERS NURSES OBSESSIVE COMPULSIV... OCCUPATIONAL ACCIDE... OCCUPATIONAL THERAPY OCCUPATIONS PAIN PARENTS PART TIME EMPLOYMENT PATIENTS PERSONAL DEBT REPAY... PHOBIAS PHYSICAL MOBILITY PHYSICIANS PREGNANCY PRESCRIPTION DRUGS PSYCHIATRISTS PSYCHOLOGICAL EFFECTS PSYCHOLOGISTS PSYCHOTHERAPY PSYCHOTIC DISORDERS QUALIFICATIONS READING TESTS RELIGIOUS AFFILIATION RELIGIOUS ATTENDANCE RELIGIOUS BELIEFS RESPIRATORY TRACT D... RHEUMATIC DISEASES SELF EMPLOYED SELF ESTEEM SELF HARM SELF HELP GROUPS SENILE DEMENTIA SENSORY IMPAIRMENTS SEXUAL ABUSE SEXUAL ASSAULT SEXUAL OFFENCES SEXUALITY SHELTERED EMPLOYMENT SICK LEAVE SICK PAY SICKNESS AND DISABI... SKIN DISEASES SLEEP SLEEP DISORDERS SLIMMING DIETS SMOKING SMOKING CESSATION SOCIAL CAPITAL SOCIAL INTEGRATION SOCIAL NETWORKS SOCIAL PARTICIPATION SOCIAL SECURITY BEN... SOCIAL SUPPORT SOCIAL WORKERS SOLVENT ABUSE SORROW SPINAL DISORDERS STANDARD OF LIVING STATE RETIREMENT PE... STATUS IN EMPLOYMENT STOMACH DISORDERS STRESS PSYCHOLOGICAL SUBSTANCE USE SUICIDE SUPERVISORS SUPERVISORY STATUS SYMPTOMS Specific social ser... TEETOTALISM TERMINATION OF SERVICE TIED HOUSING TRAFFIC OFFENCES TRANQUILLIZERS TRAUMA PSYCHOLOGICAL UNEMPLOYED UNEMPLOYMENT UNFURNISHED ACCOMMO... UNWAGED WORKERS VASCULAR DISEASES VISION IMPAIRMENTS WAR VETERANS BENEFITS WEIGHT PHYSIOLOGY WORK LIFE BALANCE WORKING CONDITIONS

The information is based on an annual statistical return. The information is collected to monitor the number of adults who paid the maximum weekly charge towards the cost of care and support or support for carers during the year

The Performance Dashboard (formerly Performance Outcomes System) datasets are developed to improve outcomes and inform beneficiaries who receive Medi-Cal Specialty Mental Health Services (SMHS). The intent of the dashboard is to gather information relevant to particular mental health outcomes, which will provide useful summary reports to help ensure ongoing quality improvement and to support decision making. Please note: the Excel file Performance Dashboard has been discontinued and replaced with the SMHS Performance Dashboards found on Behavioral Health Reporting (ca.gov).