11 research outputs found

    Embedding social value in procurement

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    Procurement reform in Wales (and the wider UK) is fundamentally changing the way goods and services are procured. There are now greater expectations for public procurement to focus less on process and more on delivering better outcomes for society and the communities they serve. This report which was published by Centre of Public Value Procurement in partnership with Wales Centre for Public Policy and the Welsh Government, draws on seven exemplary case examples to demonstrate how social, environmental, economic and cultural wellbeing (social value) outcomes can be delivered and embedded through procurement practices. Accompanying video interviews provide a quick and easy grasp of the main learning outcomes for each case. The video links are embedded in the report

    Health and Loneliness in Wales

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    This data insight combines three years’ worth1 of NSW data to identify reported levels of overall, emotional, and social loneliness among different groups, to explore how general health interacts with other characteristics such as household type and area-based deprivation, and to show which groups are especially vulnerable to loneliness. It highlights the acute risk of loneliness faced by people experiencing multiple forms of disadvantage and the importance of targeted policy and public service funding and interventions to support them

    Loneliness in Wales during the coronavirus pandemic

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    There is a general concern that loneliness has increased during the pandemic, or that certain groups may have been feeling lonelier than before. This insight explores levels of loneliness between May and September 2020, drawing on the monthly telephone version of the NSW

    Who is lonely in Wales?

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    The first insight in the series reports levels of loneliness among different groups. It finds that loneliness is closely linked to structural inequalities. Levels vary according to individual characteristics such as age, gender, and ethnicity, and personal circumstances such as marital status, household composition, deprivation, and general health

    Age and loneliness in Wales

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    This data insight combines three years’ worth1 of NSW data to identify levels of overall, emotional, and social loneliness among different groups and explore how age interacts with other characteristics to show which groups are especially vulnerable to loneliness. It highlights the acute risk of loneliness faced by people experiencing multiple forms of disadvantage and the importance of targeted policy and public service funding and interventions to support them

    Loneliness data insights: methodological appendix

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    This appendix accompanies the three data insights on loneliness and provides detail on the data and methodologies used in the analysis

    What matters in the implementation of sustainable development policies? Findings from the Well-Being of Future Generations (Wales) Act, 2015

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    This paper examines the implementation of the unique and pioneering latest Welsh Government sustainable development legislation: the Well-Being of Future Generations (Wales) Act, 2015. The paper is the first empirical analysis of this legislation, based on 16 semi-structured interviews and 89 documents. The analysis explores sustainable development policy implementation by analysing and critiquing the Act and provides a wider understanding of the key factors influencing local implementation of national Sustainable Development policies, focussing on the local level to understand how different practices emerge in different places

    Quality of Life among People Aged 75 and over in Great Britain, 1994-1998

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    Abstract copyright UK Data Service and data collection copyright owner.Data for this study were first collected to contribute to a large-scale randomised trial of assessment and management of people aged 75 years and over in Britain, funded by the MRC, DoH and Scottish Office. Brief assessments were offered to all people of this age registered with 106 general practices within the 'General Practice Research Framework'. In half the practices all patients were then offered a detailed assessment (the 'universal arm' of the study). In the remaining practices, only patients whose answers on the brief assessment indicated particular need for a detailed assessment (the 'targeted arm') were offered one. The purposes of the trial were: to compare universal and targeted assessment with respect to mortality, institutionalisation, hospital admissions and quality of lifeto compare different methods of undertaking the brief assessment for response, completeness and costto compare management by the primary care team and by a geriatric evaluation management team with respect to these outcomesPeople in 23 of the practices were approached for quality of life information at baseline, then resurveyed 18 and 36 months later. The Economic and Research Council (ESRC) subsequently funded analyses of the data collected for the project 'Inequalities in Quality of Life among People Aged 75 Years and Over in the Community', which was part of the 'Growing Older' research programme. This project used baseline data from the trial only, and its purpose was to investigate differences in selected dimensions of quality of life of elderly people by their socio-economic circumstances in late and mid-life, and to identify features that account for socio-economic variations. The specific objectives of the ESRC project were to:investigate differentials in quality of life by socio-economic factors, gender and age among people aged 75 and over living in the communityidentify personal factors which contribute to differentials in quality of lifeinvestigate the interaction of personal and area measures of deprivation on quality of lifeexamine whether social class during mid-life is associated with quality of life in old ageinvestigate whether socio-economic circumstances experienced in old age modify any observed association with mid-life measuresFor the second edition (August 2006), the variable 'Fall', covering falls the respondent had during the six months prior to the survey, was added to the dataset. Main Topics:The dataset contains the raw and main derived variables used in the ESRC project. Cases include all those who were eligible for the main trial and had a baseline quality of life interview (includes data from the brief assessments). Five core quality of life measures are given in the data: four dimensions of the Sickness Impact Profile and the Philadelphia Geriatric Morale Scale. The following information extracted from geographical small area data has been added:'Carstairs' score and population density for the Enumeration District (ED) in which the respondent livesminimum, maximum, mean and standard deviation of Carstairs scores for adjacent EDs and for those in 1 km radiuspopulation density of the EDs within 5 kms of the respondents' ED (including that ED)Socio-economic indicators derive from the quality of life interviews. Standard Measures: The quality of life measures are standard: four dimensions from the UK version of the Sickness Impact Profile using weights from the Lambeth Disability Study and the Philadelphia Geriatric Morale Scale. References are as follows:Bergner M., Bobbitt R.A. and Pollard W.E. (1981) 'The Sickness Impact Profile: development and final revision of a health status measure', Medical Care, 19, pp.787-806Patrick, D.L. and Peach, H. (1978) Disablement in the community, Oxford: OUPLawton, M.P. (1975) 'The Philadelphia Geriatric Morale Scale: a revision', Journal of Gerontology, 30, pp.85-89Occupations were coded using the Office of Population Censuses and Surveys (1990) Standard Occupation Classification, London: HMSO (SOC90).<br

    Welsh Assembly Election Study, 1999

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    Abstract copyright UK Data Service and data collection copyright owner.This survey was a post-election study of the first election to the Welsh National Assembly in 1999. It was designed in the tradition of British General Election Studies and in close conjunction with the 1999 'Scottish Social Attitudes/Scottish Parliamentary Election Study' (held under SN:4346). The questionnaire covers mainly political behaviour and attitudes, together with a thorough classification section. A separate module of questions dealing with the new electoral systems was fielded in a self-completion booklet to face-to-face respondents. The survey incorporated a methodological experiment to assess the feasibility of conducting election studies on the telephone in Britain. The sample is therefore made up of three sample types: Sample A: a clustered sample, selected from the Postcode Address File (PAF) and interviewed face-to-face using laptop computers. Sample B: selected using Random Digit Dialling (RDD) and interviewed over the telephone. Sample C: a clustered sample selected from PAF and interviewed over the telephone. Later Welsh election/Assembly election studies were conducted in 2001 and 2003 under the Wales Life and Times survey series programme (see under study numbers 4546 and 5052). An earlier study of the 1979 general election in Wales is held under SN:1591.Main Topics:The file contains data from 1,256 respondents of which 522 were interviewed face-to-face and 734 on the telephone. Of those interviewed on the telephone, 399 were selected via PAF, 330 via RDD, and 5 were interviewed in Welsh. Standard measures Left-right scale: FairShar, RichLaw, TUNtNeed, PrivEnt, PublcOwn, GovResp1. Libertarian-authoritarian scale: TradVals, Censor, PubMeet, GaySex, Tolerant, BanParty. Welsh nationalism scale: SWLearn, SWLiv, SWAshmd, SWCrit, SWProud
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