58 research outputs found

    A Preliminary Mixed-Method Investigation of Trust and Hidden Signals in Medical Consultations.

    Get PDF
    Background Several factors influence patients' trust, and trust influences the doctor-patient relationship. Recent literature has investigated the quality of the personal relationship and its dynamics by considering the role of communication and the elements that influence trust giving in the frame of general practitioner (GP) consultations. Objective We analysed certain aspects of the interaction between patients and GPs to understand trust formation and maintenance by focusing on communication channels. The impact of socio-demographic variables in trust relationships was also evaluated. Method A cross-sectional design using concurrent mixed qualitative and quantitative research methods was employed. One hundred adults were involved in a semi-structured interview composed of both qualitative and quantitative items for descriptive and exploratory purposes. The study was conducted in six community-based departments adjacent to primary care clinics in Trento, Italy. Results The findings revealed that patients trusted their GP to a high extent by relying on simple signals that were based on the quality of the one-to-one communication and on behavioural and relational patterns. Patients inferred the ability of their GP by adopting simple heuristics based mainly on the so-called social \u201chonest signals\u201d rather than on content-dependent features. Furthermore, socio-demographic variables affected trust: less literate and elderly people tended to trust more. Conclusions This study is unique in attempting to explore the role of simple signals in trust relationships within medical consultation: people shape trust and give meaning to their relationships through a powerful channel of communication that orbits not around words but around social relations. The findings have implications for both clinicians and researchers. For doctors, these results suggest a way of thinking about encounters with patients. For researchers, the findings underline the importance of analysing some new key factors around trust for future investigations in medical practice and education

    Interrogating Microfinance Performance beyond Products, Clients and the Environment. Insights from the work of BRAC in Tanzania

    Get PDF
    The performance of microfinance organisations can depend upon many factors. Current research emphasizes factors pertaining to clients, products, or broader environments. But researchers have paid less attention to the workings and internal systems of microfinance organisations. We explore how variation in performance within an organisation can alter the consequences of loans and their popularity among clients and potential clients. We illustrate with data from BRAC in Tanzania, where the arrival and rapid expansion of BRAC’s microfinance programme provides an apposite case study

    Deciphering the Code: Evidence for a Sociometric DNA in Design Thinking Meetings

    No full text
    Despite the increased popularity of virtual teams, in-person teamwork remains the dominant way of working. This paper investigates to what extent social signals can be used to infer the work domain of team meetings. It reveals insights into the complex nature of team dynamics, that are not often quantified in literature, during the design thinking process. This was done by using sociometric badges to measure the social interactions of four teams over a three week development cycle. From these interactions we were able to discriminate different modes in the design thinking process used by the teams, indicating that different design thinking modes have different dynamics. Through supervised learning we could predict the modes of Need Finding, Ideation, and Prototyping with F1 scores of 0.76, 0.71, and 0.60 respectively. These performance scores significantly outperformed random baseline models, corresponding to a doubling of F1 score of predicting the positive class, indicating that the models did indeed succeed in predicting design thinking mode. This indicates that wearable social sensors provide useful information in understanding and identifying design thinking modes. These initial findings will serve as a first step towards the development of automated coaches for design thinking teams
    corecore