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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]

Purpose Supported employment (SE) programs are evidence-based programs offered to people with severe mental illness to facilitate obtaining and keeping competitive work. However, significant variations in individuals' vocational success may be partly explained by differences in their employment specialists' competencies. Aim The main objectives of this study were to develop a questionnaire measuring the behaviors, attitudes and knowledge of employment specialists working in SE programs and to link specific competencies to vocational outcomes. Methods A total of 153 employment specialists working in Canadian and Dutch supported employment programs completed the Behaviors, Attitudes, and Knowledge in Employment Specialists (BAKES) questionnaire and provided information about their clients' vocational outcomes. Results Exploratory Factor Analyses results found 90 items over 12 subscales (e.g., Relationships with employers and supervisors). Regression analyses indicated that the two most useful subscales for predicting vocational success were: (1) Relationships with employers and supervisors, and (2) support and client-centered approach. Conclusion Employment specialists require specific competencies to help people with severe mental illness obtain and maintain competitive employment. Validating the BAKES will better define the broad range of competencies expected for this position, and this tool may facilitate training of employment specialists. [ABSTRACT FROM AUTHOR]

wulff k., cummings g.g., marck p. & yurtseven o. (2011) Medication administration technologies and patient safety: a mixed-method systematic review. Journal of Advanced Nursing 67(9), 2080-2095. Abstract Background. Healthcare leaders need evidence-based information on nursing medication administration technologies to guide the design of improvements to patient safety. Aim. The aim of this study was to evaluate the research evidence on relationships between the use of medication administration technologies and incidence of medication administration incidents and preventable adverse drug events to inform decision-making about existing technology options. Data sources. Thirteen electronic databases and seven relevant patient safety websites were searched for the years 1980-2009. Review methods. A mixed-method systematic literature review of research on medication administration technologies and associated links to patient safety, operationalized as medication administration incidents and preventable adverse drug events, was conducted. Results. Twelve studies (two qualitative, five pre- and postinterventions and five correlational) met the inclusion criteria. All were assessed as medium quality with low generalizability of study findings. Only two studies sampled more than one hospital and none of the studies was driven by an explicit theoretical framework. The studies included in this review are generally positive towards medication administration technologies and their potential benefits, yet the level of evidence overall is equivocal. The majority of studies pointed to the development of workarounds by nurses following medication administration technology implementation that could compromise patient safety. Conclusion. More theoretically driven research is needed to determine which medication administration technologies should be implemented in what ways to most effectively reduce medication administration incidents and preventable adverse drug events and minimize the development of potentially unsafe workarounds. Further evidence is required to accurately assess the actual contribution of medication administration technologies for improving patient safety. [ABSTRACT FROM AUTHOR]

Honesty-Humility, one of the six major personality dimensions included in the HEXACO model of personality structure, has previously been found to show negative correlations with workplace deviance. In this study, we hypothesised that Extraversion would moderate the relationship between Honesty-Humility and workplace deviance. In particular, we posited that the relation between Honesty-Humility and workplace deviance would be stronger among employees who are high on Extraversion than among those low on Extraversion. The hypothesis was tested using three different samples across Australia, Canada, and the Netherlands. It was found in two of the three samples that high levels of Extraversion did indeed amplify the relationship between (low) Honesty-Humility and workplace deviance. Results suggest a potentially important role for multiplicative effects of personality variables on workplace criteria. [ABSTRACT FROM AUTHOR]