Psychology and Social Work: Applied Perspectives

Successful social work practice is underpinned by knowledge, theories and research findings from a range of related disciplines, key amongst which is psychology. This timely book offers a grounded and engaging guide to psychology s vital role at the heart of contemporary social work practice. The book skilfully addresses some of the central theoretical developments in psychology from an applied perspective, and explains how these make essential contributions to the methods and theory base of social work in ways that foster critical evaluation and promote best practice. Written by two authors with extensive backgrounds in psychology and social work respectively as well as a deep understanding of the intersections of the two this book delivers a unique synthesis of perspectives and approaches, focusing on their application to the lives of individuals and families. Each chapter contains reflective points and case studies based on contemporary practice realities which are related to the Professional Capabilities Framework for Social Workers and also to the Health and Care Professions Council s Standards of Proficiency. Times have never been more challenging for social work and this book will be an invaluable source of professional support within the ever-more complex psychological worlds where social work takes place. Table of Contents 1. Introduction: The place of psychological knowledge and research in social work training and practice 2. Signposts from Developmental Psychology on Human Development over the Life Course 3. Perspectives from Clinical and Counselling Psychology on Mental Health and Illness 4. Perspectives from Social and Community Psychology: Understanding values, attitudes, diversity and community change 5. Health Psychology: Understanding health, illness, stress and addiction 6. Organizational Psychology: Understanding the individual and the organization in the social work structure 7. Forensic Psychology: Understanding criminal behaviour and working with victims of crime 8. Conclusion References Index

Social Return on Investment: Valuing Health Outcomes or Promoting Economic Values?

Interventions and activities that influence health are often concerned with intangible outcomes that are difficult to value despite their potential significance. Social Return on Investment is an evaluation framework that explores all aspects of change and expresses these in comparable terms. It combines qualitative narratives and quantitative measurements with a financial approach to enable outcomes that can otherwise be overlooked or undervalued to be incorporated appropriately. This article presents Social Return on Investment as an effective tool for supporting the development of a holistic appreciation of how interventions impact on the health and well-being of individuals, communities and societies.

Clinical Psychologists Training and Supervising IAPT Therapists to Work with Long-term Conditions and Medically Unexplained Symptoms: A Service Development Project

An IAPT service and a clinical health psychology team piloted a service development providing Step 2 and Step 3 services for individuals with long-term health conditions. Results indicate that such services may be offered with access to specialist training and supervision.

“Because It Kind of Falls in Between, Doesn’t It? Like an Acute Thing and a Chronic”: the Psychological Experience of Anaphylaxis in Adulthood

Anaphylaxis is a serious, rare condition increasing in prevalence. This study explored the psychological experience of adult-onset anaphylaxis from patient, family and staff perspectives. Semi-structured interviews were conducted with twelve participants. Two global themes emerged from thematic analysis: ‘controllability’ (‘an unknown and distressing experience’, ‘the importance of control over triggers’ and ‘responsibility but no control: the impact on others’) and ‘conflict’ (‘rejecting illness identity’, ‘minimisation of risk’, ‘accessing specialist care: running in slow motion’ and ‘patient-centred versus service-centred care’). Findings highlight the importance of perceived control and emphasise the presence of conflict in the experience of this complex, episodic condition.

Growing Well-beings: the Positive Experience of Care Farms

Objectives: Care farms enable people who are in some way vulnerable to engage with agricultural places and farming activities. This study investigates how this impacts on the health and well-being of service users and explores associated processes and outcomes. Design: A mixed methods design was adopted that allowed for the integration of quantitative measurements of change with qualitative descriptions of this change. A pragmatic approach provided sufficient flexibility to support the investigation of complex contexts. Methods: A total of 216 service users completed an initial questionnaire, and 137 (63%) of this number provided comparative data in a follow-up questionnaire. Questionnaires contained multiple choice and open-ended questions alongside standardized health and well-being measures requiring Likert-format responses. Semi-structured interviews with 33 service users allowed personal experiences to be detailed. Results: Statistical analysis of well-being measure scores identified significant positive relationships with the length of time people had been attending the care farm. Questionnaire and interview data presented health benefits as being enabled by the farm environment, the positive experience as supporting personal development, and associated social interactions as becoming increasingly influential as time progressed. Conclusions: The health and well-being outcomes that result from participating at a care farm influence multiple elements of the human condition and apply amongst vulnerable people with a wide range of personal needs. Care farms have access to a potentially unique range of resources that can support many service users in becoming happier and healthier individuals.

The Lived Experience of People with Mental Health and Substance Misuse Problems: Dimensions of Belonging

Introduction: People with co-occurring mental health and substance misuse problems are among the most excluded in society. A need to feel connected to others has been articulated in the occupational science literature although the concept of belonging itself has not been extensively explored within this paradigm. This paper reports findings from research that explored the meaning and experience of belonging for four people living with dual diagnosis in the United Kingdom. Method: Researchers employed an interpretative phenomenological approach to the study. Four semi-structured interviews were carried out. The interviews were guided by questions around the meaning of belonging, barriers to belonging and how belonging and not belonging impacted on participants’ lives. Data analysis facilitated the identification of themes across individual accounts and enabled comparisons. Findings: Data analysis identified four themes – belonging in family, belonging in place, embodied understandings of belonging and barriers to belonging. Conclusion: The findings add further insights into the mutable nature of belonging. A link between sense of belonging and attachment theory has been proposed, along with a way to understand the changeable and dependent nature of belonging through ‘dimensions of belonging’.

Mental Health Pharmacists Views on Shared Decision-Making for Antipsychotics in Serious Mental Illness

A qualitative study to look at the views of pharmacists working in mental health settings in relation to shared decision making, particularly as applied to decisions about the prescription of antipsychotics for those diagnosed with severe and enduring mental illnesses.

The Perceived Benefits of an Arts Project for Health and Wellbeing of Older Offenders

Background: The increasing ageing prison population is becoming a pressing issue throughout the criminal justice system. Alongside the rising population, are a host of health and wellbeing issues that contribute to older offenders needs whilst in prison. It has been recommended that meaningful activities can have positive effects on this population and therefore this paper uniquely reviews older offenders accounts of taking part in an arts based project, Good Vibrations, whilst imprisoned. Objective and design: The Good Vibrations project engages individuals in Gamelan music making with an end of project performance. This study used independent in-depth interviews to capture the voices of older offenders who took part in an art based prison project. Analysis and Results: The interview data was analysed using thematic analysis, which highlighted themes that were consistent with other populations who have taken part in a Good Vibrations project, along with specific age relating issues of mobility, motivation, identity and wellbeing.

Validation of Electronic Health Record Phenotyping of Bipolar Disorder Cases and Controls

Objective: The study was designed to validate use of elec-tronic health records (EHRs) for diagnosing bipolar disorder and classifying control subjects. Method: EHR data were obtained from a health care system of more than 4.6 million patients spanning more than 20 years. Experienced clinicians reviewed charts to identify text features and coded data consistent or inconsistent with a diagnosis of bipolar disorder. Natural language processing was used to train a diagnostic algorithm with 95% specificity for classifying bipolar disorder. Filtered coded data were used to derive three additional classification rules for case subjects and one for control subjects. The positive predictive value (PPV) of EHR-based bipolar disorder and subphenotype di- agnoses was calculated against diagnoses from direct semi- structured interviews of 190 patients by trained clinicians blind to EHR diagnosis. Results: The PPV of bipolar disorder defined by natural language processing was 0.85. Coded classification based on strict filtering achieved a value of 0.79, but classifications based on less stringent criteria performed less well. No EHR- classified control subject received a diagnosis of bipolar dis- order on the basis of direct interview (PPV=1.0). For most subphenotypes, values exceeded 0.80. The EHR-based clas- sifications were used to accrue 4,500 bipolar disorder cases and 5,000 controls for genetic analyses. Conclusions: Semiautomated mining of EHRs can be used to ascertain bipolar disorder patients and control subjects with high specificity and predictive value compared with diagnostic interviews. EHRs provide a powerful resource for high-throughput phenotyping for genetic and clinical research.