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The research goals were to obtain an understanding of who the users of e‐books in the NHS are, what they are using e‐books for, and when and how they use them. This article presents the methodology used and the findings from the research. It also explores the outputs and next steps from the research, both for the individual countries and collectively. The Five Nations group, (library leads in England, Northern Ireland, Ireland, Scotland and Wales) commissioned research into healthcare staff use and non‐use of e‐books to understand the behaviours, needs and expectations of healthcare staff and to identify shared challenges around e‐books to inform policy and practice. [ABSTRACT FROM AUTHOR]

This paper draws on UK data from an international, comparative project involving eight countries. The study examined how social workers' conceptions and definitions of family impact on the way they engage with complex families, and how social policies that frame social work context impact on the way social workers engage with families. Focus groups were held in which social workers from four service areas (child welfare, addictions, mental health and migration) were asked to discuss a case vignette. Several factors were embedded in the vignette to represent a realistic situation a social worker may come across in their day-to-day work. Social workers clearly identified the complexity of the family's situation in terms of the range of issues identified and candidate 'causes'. However, typical first responses were institutional, looking for triggers that would signify certainty about their, or other agencies' involvement. This resulted in a complicated story, through which the family was disaggregated into individual problem-service categories. This paper argues that understanding these processes and their consequences is critical for exploring the ways in which we might develop alternative, supportive professional responses with families with complex needs. It also demonstrates how organisational systems manifest themselves in everyday reasoning. [ABSTRACT FROM AUTHOR]

To identify the patient classification systems used to classify nursing intensity in the assessment of nursing staffing resources currently used in home health care, with a special emphasis on validity, reliability and staff allocation. Scoping review of internationally published and grey literature, based on a methodological framework by Arksey and O'Malley. Searches of the electronic databases Cinahl, Medline, Embase and SweMed, the websites Google and Google Scholar and hand searches of reference lists occurred. Eligibility criteria included (A) a focus on patient classification systems measuring nursing intensity and workload in home health care and (B) published in English between January 2007 and March 2019. In level one testing two team members screened titles and abstracts, in level two testing two team members determined which papers should undergo a full text review. Data were extracted using structured extraction by one team member and verified by two other members. Thirteen peer-reviewed articles and grey literature documents were identified, from Canada, Ireland, the UK, the USA, Scotland, Turkey and the Netherlands. Four patient classification systems had been tested for both validity and reliability. Validity was tested through face validity, predictive validity, concurrent validity or content validity index. Reliability was tested through stability, internal consistency, observer agreement or inter rater reliability. One patient classification system had been tested only for reliability, through interrater reliability and observer agreement. Two patient classification systems had been evaluated through summative evaluation; one qualitatively through focus group interviews and one through semi-structured interviews. Only one patient classification system had been validity and reliability tested and evaluated. Overall, the patient classification systems in the included papers (13) were considered to have benefits and to be appropriate for the measurement of patients' needs, workload and allocation of staff, although specific information was not always given. Little has been published on validity or reliability tested patient classification systems linked to staffing allocation in home health care in the past decade. Limited research was seen where a patient classification system was considered to be fully operational in home health care. [ABSTRACT FROM AUTHOR]