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Aims To report a systematic review of the psychometric properties of self-report instruments to identify the symptoms of anxiety in pregnancy to help clinicians and researchers select the most suitable instrument. Background Excessive anxiety in pregnancy is associated with adverse birth outcomes, developmental and behavioural problems in infants and postnatal depression. Despite recommendations for routine psychological assessment in pregnancy, the optimal methods to identify anxiety in pregnancy have not been confirmed. Design Psychometric systematic review. Data sources A systematic literature search of the multiple databases (1990-September 2014). Review methods Identification of self-report instruments to measure anxiety in pregnancy using COSMIN guidelines to assess studies reporting a psychometric evaluation of validity and reliability. Results Thirty-two studies were included. Studies took place in the UK, Australia, Belgium, Canada, Germany, Italy, Scandinavia, Spain and the Netherlands. Seventeen different instruments were identified. Measures of validity were reported in 19 papers and reliability in 16. The overall quality of the papers was rated as fair to excellent using the COSMIN checklist. Only one paper scored excellent in more than one category. Conclusion Many instruments have been adapted for use in different populations to those for which they were designed. The State Trait Anxiety Inventory, Edinburgh Postnatal Depression Scale and the Hospital Anxiety and Depression Scale have been tested more frequently than other instruments, yet require further assessment to confirm their value for use in pregnancy. [ABSTRACT FROM AUTHOR]

Background: Service robots may offer an innovative assistive solution to improve the quality of life of frail elderly people, by assisting them in specific situations identified as relevant to maintain independence. Objective: This paper describes the results of a qualitative and quantitative research based on a user-centered methodology carried out within the EU-funded project "Multi-Role Shadow Robotic System for Independent Living" (SRS), aiming to generate user requirements and realistic usage scenarios maximizing the alignment with users' needs, perceptions, feelings and rights. Methods: A qualitative and quantitative research - based on focus groups (59 participants) and questionnaires (129 respondents) - was carried out in three countries: Italy, Spain and Germany. The survey involved prospective end-users (elderly people and family members who care for them), caregivers, and geriatric experts. Results: Results show that despite elderly people encounter difficulties in many activities of daily life, a semi-autonomous remotely-controlled and self-learning service robot has been judged an interesting solution only in some circumstances. Monitoring and managing emergency situations, helping with reaching, fetching and carrying objects that are too heavy or positioned in unreachable places: these are tasks for which robotic support has been widely accepted, while tasks involving direct physical contact between the person and the robot are not appreciated instead. Relatives of the elderly could act as remote operators; however, family psychological burden and time restrictions should be considered too. Conclusions: A tele-operated robotic system may be of help for frail elderly people. In certain cases this solution may be effective only in conjunction with a 24-hour professional Service Centre able to manage tele-operation when relatives are not available. This survey adds further tokens of knowledge to previous literature studies on this subject; it compares the potential users' and the professionals' views; it helps identifying potentially successful applications of tele-operated robots in the care of elderly people living at home. The results obtained by the present study, generated specific requirements and the first versions of concrete usage scenarios, enabling designers and technologists to start with a first development phase of the SRS concept. [ABSTRACT FROM AUTHOR]