Increased affective influence: situational complexity or deliberation time?

The affect infusion model (AIM) is a prominent theory of when current emotional state is expected to influence the interpretation of a social stimulus (situation). We discuss the assumptions in AIM and conclude that its current specification predicts that both deliberation time and situational complexity should lead to affect infusion. The aim of this research was to clarify the relative importance of these factors in determining affect infusion and hence promote the development of AIM. We present an experimental design in which situational complexity and deliberation time can be manipulated orthogonally as independent factors. Our results show that the latter factor, but not the former, can influence the degree of affect infusion

Suicide Information Database-Cymru: a protocol for a population-based, routinely collected data linkage study to explore risks and patterns of healthcare contact prior to suicide to identify opportunities for intervention

Introduction Prevention of suicide is a global public health challenge extending beyond mental health services. Linking routinely collected health and social care system data records for the same individual across different services and over time has enormous potential in suicide research. Most previous research linking suicide mortality data with routinely collected electronic health records involves only one or two domains of healthcare provision such as psychiatric inpatient care. This protocol paper describes the development of a population-based, routinely collected data linkage study: the Suicide Information Database Cymru (SID-Cymru). SID-Cymru aims to contribute to the information available on people who complete suicide. Methods and analysis SID-Cymru will facilitate a series of electronic case–control studies based in the Secure Anonymised Information Linkage (SAIL) Databank. We have identified 2664 cases of suicide in Wales between 2003 and 2011 from routinely collected mortality data using International Classification of Diseases, Tenth Revision, codes X60–X84 (intentional self-harm) and Y10–Y34 (undetermined intent). Each case will be matched by age and sex to at least five controls. Records will be collated and linked from routinely collected health and social data in Wales for each individual. Conditional logistic regression will be applied to produce crude and confounder (including general practice, socioeconomic status) adjusted ORs. Ethics and dissemination The SAIL Databank has the required ethical permissions in place to analyse anonymised data. Ethical approval has been granted by the Information Governance Review Panel (IGRP). Findings will be disseminated through peer-reviewed publications, consultations with stakeholders and national/international conference presentations. The improved understanding of the prior health, nature of previous contacts with services and wider social circumstances of those who complete suicide will assist in prevention policy, service organisation and delivery. SID-Cymru is funded through the National Institute for Social Care and Health Research, Welsh Government (RFS-12-25)

Reusable, set-based selection algorithm for matched control groups

ABSTRACT Aims The wealth of data available in linked administrative datasets offers great potential for research, but researchers face methodological and computational challenges in data preparation, due to the size and complexity of the data. The creation of matched control groups in the Secure Anonymised Information Linkage (SAIL) Databank illustrates this point: SAIL contains multiple health datasets describing millions of individuals in Wales. The volume of data creates the potential for more precise matching, but only if an appropriate algorithm can be applied. We aimed to create such an algorithm for reuse by many research projects. Methods We developed set-based code in SQL that efficiently selects matches from millions of potential combinations in a relational database environment. It is parameterized to allow different matching criteria to be employed as needed, including follow-up time around an index event. A combinatorial optimisation problem occurs when a potential control could match more than one subject, which we solved by ranking potential match pairs first by subject with the fewest potential matches, then by closeness of the match. Results One example of the algorithm’s use was the Suicide Information Database Cymru, an electronic case-control study on suicide in Wales between 2003 and 2011. Subjects who had a cause of death recorded as self-harm were each matched to twenty controls who were alive at the subject’s date of death and had the same gender and similar birth week. The rate of matching success was >99.9%, with all subjects but one matching the full twenty controls. >99.99% of the matched controls had a week of birth that was identical to the subject. The second example was a matched cohort study looking at hospital admissions and type 1 diabetes, using the Brecon register of childhood diabetes in Wales, with matching based on week of birth within two weeks, gender, county of residence, deprivation quintile, and residence in Wales at time of diagnosis. This study had a matching rate of 98.9%; 97.5% of subjects matched to five controls, and 69.8% of matches had the same week of birth. Conclusions This algorithm provides good matching performance while executing efficiently and scalably on large datasets. Its implementation as reusable code will facilitate more efficient, high-quality research in SAIL. Instead of spending many hours developing a custom solution, analysts can execute parameterized code in a few minutes. We hope it to be useful more widely beyond SAIL as well

Evaluation of the Social Services and Well-being (Wales) Act 2014: Literature Review

Evaluation of the Social Services and Well-being (Wales) Act 2014: Literature Review Edited by: Llewellyn, M., Verity, F. and Wallace, S. Chapter authors: Chapter 1: Evaluation Overview and Literature Methodology Verity, F., Wallace, S., Llewellyn, M., Anderson, P. and Lyttleton-Smith, J. Chapter 2: Well-being literature review Anderson, P., Lyttleton-Smith, J., Kosnes, L., Read, S., Blackmore, H. and Williams, Z. Chapter 3: Prevention and early intervention literature review Verity, F., Read, S. and Richards, J. Chapter 4: Co-production literature review Andrews, N., Calder, G., Blanluet, N., Tetlow, S. and Wallace, S. Chapter 5: Multi-agency literature review Wallace, C., Orrell, A., Garthwaite, T., Tetlow, S. and Wallace, S. Chapter 6: Voice and control literature review Llewellyn, M., Saltus, R., Blackmore, H., Tetlow, S., Williams, Z. and Wallace, S. Chapter 7: Financial and economic literature review Phillips, C., Prowle, M., Tetlow S. and Williams Z.Mae’r ddogfen yma hefyd ar gael yn Gymraeg. This document is also available in Welsh. OGL © Crown Copyright Digital ISBN 978-1-80038-948-9.This document is a summary of the extensive review of the literature to inform the evaluation of the Social Services and Well-being (Wales) Act 2014 (hereafter referred to as ‘the Act’).Welsh Governmen

Evaluation of the Social Services and Well-being (Wales) Act 2014: Literature Review

The author list for the literature review is provided below: Evaluation of the Social Services and Well-being (Wales) Act 2014: Literature Review Chapter authors: Introduction and methods Verity, F., Wallace, S., Llewellyn, M., Anderson, P. and Lyttleton-Smith, J. Well-being Anderson, P., Lyttleton-Smith, J., Kosnes, L., Read, S., Blackmore, H. and Williams, Z. Prevention and early intervention Verity, F., Read, S. and Richards, J. Co-production Andrews, N., Calder, G., Blanluet, N., Tetlow, S. and Wallace, S. Multi-agency Wallace, C., Orrell, A., Garthwaite, T., Tetlow, S. and Wallace, S. Voice and control Llewellyn, M., Saltus, R., Blackmore, H., Tetlow, S., Williams, Z. and Wallace, S. Financial and economic Phillips, C., Prowle, M., Tetlow, S. and Williams, Z. Service user and carer experiences under the Act Wallace, S.This report is a summary of the extensive review of the literature to inform the evaluation of the Social Services and Well-being (Wales) Act 2014. This document is a summary of the extensive review of the literature undertaken to inform the evaluation of the Social Services and Well-being (Wales) Act 2014 (hereafter referred to as ‘the Act’).1 The Welsh Government has commissioned a partnership between academics across four universities in Wales and expert advisers to deliver the evaluation. The Act sets out a government vision to produce ‘transformative changes’ in social service public policy, regulations, and delivery arrangements across Wales. It has 11 parts and is informed by five principles that set out a vision to produce transformative changes in public policy, regulations, and service delivery. Aligned to it are structures, processes, and codes of practice. The Evaluation of the Act – a study called IMPACT – is organised around each of the five principles together with a focus on the financial and economic aspects of the Act’s implementation. The approach to undertaking this evaluation research is to structure the evaluation by using the fundamental principles of the Act as the scaffolding. These principles are: • Well-being • Prevention • Co-Production • Multi-agency working • Voice and control There is also a focus on the financial and economic considerations of the implementation of the Act and this area constitutes the sixth evaluation study theme