Data science presents a new and promising frontier for social work both in methodology and in ensuring data justice and equity. Within social work, text documentation and social media are popular forms of non-traditional data, but other forms, such as imagery and connectivity data, also provide new opportunities. Administrative data linkages, particularly within the realm of child welfare, are a common approach to data use. Methodologically, natural language processing and machine learning are some of the widely applied techniques; however, computer vision, combined with spatial analysis, presents areas with significant potential. Various fields or substantive areas in social work leverage data science to predict risk and utilize algorithmic decision-making. Data science has been used around the world in both data rich and data sparse countries. Social workers are called upon to take action and take part in the conversation of data justice and equitable deployment. Professionals in social work are encouraged to have a thorough understanding of and employ a diverse range of data science tools.
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Data Science and Social Work
Woojin Jung, Andrew H. Kim, and Charles Chear
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Home Visits and Family Engagement
Barbara Wasik and Donna Bryant
The importance of engaging families in home visiting was recognized more than a century ago as M. E. Richmond provided guidelines for involving families in the visiting process. She stressed individualizing services and helping families develop skills that would serve them after the home visiting services ended. During the 20th century, early organized efforts in home visiting in the United States built on methods used in other countries, especially European countries. Although interest fluctuated in the United States during the past century, since 2010 interest has increased due primarily to the passage of the Patient Protection and Affordable Care Act that provided for home visiting services to respond to the needs of children and families in order to improve health and development outcomes for vulnerable children and their families.
Engaging families is essential for a productive home visiting experience requiring thoughtful program activities as well as knowledge and skills on the part of the visitor. Program responsibilities begin with the need to make good employment decisions regarding home visitors and then to provide effective training, supervision, and ongoing professional development. Providing professional training in helping skills such as observation, listening, and ways of asking questions to gain or clarify information is essential to ensure visitors can engage families. Using principles for effective home visiting—including establishing a collaborative relationship with the family; individualizing services; being responsive to family culture, language, and values; and prompting problem-solving skills—can enhance the ability of the visitor to engage the family. Programs can provide opportunities for visitors to enhance their skills in developing relationships with and engaging families. Engaging families is a reciprocal process. Some families will have a positive orientation toward working with visitors to accomplish their own goals and objectives; others may be less willing to engage. Although the program and visitors have the main responsibility for engagement, they will face challenges with some families and may need to seek creative solutions to actively engage.
Just as home visitors need to engage parents in order to facilitate new knowledge and skills, parents need to engage their children to foster development. Recent research identified a set of parent–child interactions that visitors can incorporate to foster parent engagement with young children. These challenges are shared across home visit programs, as well as across cultures and countries, regardless of the professional training of the visitors or the goals and procedures of the programs.
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Grand Challenges for Social Work
Marilyn Louise Flynn, Richard P. Barth, Edwina Uehara, and Michael Sherraden
The Grand Challenges for Social Work (GCSW) derived from a commitment to strengthening society through science and has identified 13 grand challenges through an iterative process. The GCSW has, in turn, developed 13 grand challenge networks that bring together researchers and practitioners and focus their capacities around achieving innovative solutions to these challenges. These networks develop and disseminate interventions at all levels (including university-based interdisciplinary grand challenge entities), giving productive focus to the work of social work and our allies. The Grand Challenges for Social Work are helping to galvanize policy developments that draw on expertise from across the profession and exemplify social work’s scientific and pragmatic traditions and its capacity for broader societal impact.
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Evidence-Based Macro Practice
Erick G. Guerrero, Tenie Khachikian, and Murali Nair
Evidence-based macro practices (EBMPs) rely on the best available evidence to promote system change. The field of social work needs to develop, implement, and disseminate EBMPs to respond to increasing public accountability to deliver cost-effective interventions that promote health and well-being among vulnerable populations. There are several evidence-based macro practices at the community and organizational levels that have potential to improve the effectiveness of social work practice. These EBMPs, their components, and the critical role they play in improving interventions and enacting change at a macro level are important. Building science in social work, informing practice in the 21st century, and effectively responding to system-wide challenges (e.g., epidemics, institutional racism, growing inequality) that disproportionally impact the health and well-being of the most vulnerable members of our society are important areas to explore.
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Post-Disaster Trauma and Recovery
Tara M. Powell, Shannondora Billiot, and Leia Y. Saltzman
Natural and man-made disasters have become much more frequent since the start of the 21st century. Disasters have numerous deleterious impacts. They disrupt individuals, families, and communities, causing displacement, food insecurity, injury, loss of livelihoods, conflict, and epidemics. The physical and mental health impact of a disaster can have extensive short- and long-term consequences. Immediately after a traumatic event, individuals may experience an array of reactions such as anxiety, depression, acute stress symptoms, shock, dissociation, allergies, injuries, or breathing problems. Given the economic and human impact of disasters, social workers are often quick to respond. Historically, the social work profession has provided services on the individual level, but initiatives have expanded to address community preparedness, response, and recovery.
This article will explore the complexities of disaster response and recovery. Health and mental health impacts will be examined. Resilience and posttraumatic growth will then be discussed, exploring how individuals overcome adversity and trauma. Individual and community level preparedness mitigation, response, and recovery will explore how the field of social work has evolved as disasters have increased. Followed by an exploration of how social work has evolved to develop individual and community level preparedness, mitigation, response, and recovery activities as disasters have increased. Finally, the article will examine special populations, including those with disabilities, children, indigenous people, older adults, and social service workers in all phases of disasters. As disasters grow more frequent it is vital for social work professionals to improve their efforts. We will conclude the chapter by examining the coordinated efforts the social work profession is involved in to help communities recover and even thrive after a traumatic event.
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Cross-Cultural Measurement in Social Work Research and Evaluation
Keith Chan
Cross-cultural measurement is an important topic in social work research and evaluation. Measuring health related concepts accurately is necessary for researchers and practitioners who work with culturally diverse populations. Social workers use measurements or instruments to assess health-related outcomes in order to identify risk and protective factors for vulnerable, disadvantaged populations. Culturally validated instruments are necessary, first, to identify the evidence of health disparities for vulnerable populations. Second, measurements are required to accurately capture health outcomes in order to evaluate the effectiveness of interventions for cross-cultural populations. Meaningful, appropriate, and practical research instruments, however, are not always readily available. They may have bias when used for populations from different racial and ethnic groups, tribal groups, immigration and refugee status, gender identities, religious affiliations, social class, and mental or physical abilities. Social work researchers must have culturally reliable and valid research instruments to accurately measure social constructs and ensure the validity of outcomes with cultural populations of interest. . In addition, culturally reliable and valid instruments are necessary for research which involves comparisons with different cultural groups. Instruments must capture the same conceptual understanding in outcomes across different cultural groups to create a basis for comparison. Cross-cultural instruments must also detect and ascertain the same magnitude in the changes in health outcomes, in order to accurately determine the impact of factors in the social environment as well as the influence of micro, mezzo, and macro-level interventions.
This reference provides an overview of issues and techniques of cross-cultural measurement in social work research and evaluation. Applying systematic, methodological approaches to develop, collect, and assess cross-cultural measurements will lead to more reliable and valid data for cross-cultural groups.
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Implementation Science
Enola Proctor and Alicia Bunger
Implementation science seeks to inform how to deliver evidence-based interventions, programs, and policies in real-world settings so their benefits can be realized and sustained. The aim of implementation science is building a base of evidence about the most effective processes and strategies for improving service delivery. Implementation research builds upon effectiveness research and then seeks to discover how to use specific implementation strategies and to move interventions into specific settings, extending their availability, reach, and benefits to clients and communities. This article provides an overview of implementation science as a component of research translation with an emphasis on traditional social work practice settings. The article begins by defining key terms, including implementation and evidence-based interventions. To inform conceptualization of implementation studies, the article continues with an overview of guiding implementation theories, models, and frameworks that explain the role of the multi-level practice context for implementation. Next, the article defines implementation strategies, identifies sources of implementation strategies, and provides recommendations for specifying and describing strategies that allow for replication. The article then describes methodological issues, including variable measurement, research design, and stakeholder engagement. Given the importance of designing implementation studies that optimize both internal and external validity, there is special attention to creative alternatives to traditional randomized controlled trials, and the potential for participatory and systems approaches. Finally, the article concludes with a discussion of future directions for implementation science in social work.
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Social Work Ethnography
Wendy L. Haight
Ethnography is an approach to the study of culture with an extensive history in the social sciences and professions. Within social work, there has been a long-standing interest in ethnography. It affords social workers a powerful and unique vehicle for obtaining an in-depth, contextualized understanding of clients’ perspectives and experiences necessary for effective, culturally sensitive social work practice and advocacy. It provides an opportunity to understand how very different cultural communities perceive and respond to the common human challenges confronted by social workers and their clients every day.
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Rapid Assessment Instruments
Steven L. McMurtry, Susan J. Rose, and Lisa K. Berger
Accurate measurement is essential for effective social work practice, but doing it well can be difficult. One solution is to use rapid assessment instruments (RAIs), which are brief scales that typically require less than 15 minutes to complete. Some are administered by practitioners, but most are self-administered on paper or electronically. RAIs are available for screening, initial assessment, monitoring of service progress, and outcome evaluation. Some require author permission, others are sold commercially, and many more are free and in the public domain. Selection of an RAI should be based first on its psychometric strength, including content, concurrent, and known-groups validity, as well as on types of reliability such as internal consistency, but practical criteria such as readability are also important. And when used in practice settings, RAIs should be part of a well-rounded measurement plan that also includes behavioral observations, client logs, unobtrusive measures, and other approaches.
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International Child Development Accounts
Michael Sherraden, Li-Chen Cheng, Fred M. Ssewamala, Youngmi Kim, Vernon Loke, Li Zou, Gina Chowa, David Ansong, Lissa Johnson, YungSoo Lee, Michal Grinstein-Weiss, Margaret M. Clancy, Jin Huang, Sondra G. Beverly, Yunju Nam, and Chang-Keun Han
Child Development Accounts (CDAs) are subsidized savings or investment accounts to help people accumulate assets for developmental purposes and life course needs. They are envisioned as universal (everyone participates), progressive (greater subsidies for the poor), and potentially lifelong national policy. These features distinguish CDAs from most existing asset-building policies and programs around the world, which are typically regressive, giving greater benefits to the well-off. With policy innovation in recent years, several countries now have national CDA policies, and four states in the United States have statewide programs. Some of these are designed to be universal and progressive. Evidence indicates that true universality can be achieved, but only with automatic account opening and automatic deposits. In the absence of automatic features, advantaged families participate and benefit more. Today, momentum for universal and automatic features is gradually gaining traction and accelerating. At this stage in the emergence of inclusive asset-based policy, this is the most important development.
