223 research outputs found

    Making sense of business analytics : the case of two start-ups

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    Business analytics have enabled businesses to leverage unstructured and dispersed data in order to improve their operations and position themselves better within a highly turbulent environment. While much discussion has been focused on how businesses can move from data to insights to decision making, much less is known around how businesses actually interpret the insights provided by business analytics tools. This extended abstract proposes the use of sense-making as the theoretical lens for interpreting these insights, combined with contextual information. We will be using two case studies to further explore the applicability of our proposition

    Public perceptions of diabetes, healthy living and conversational agents in Singapore: a needs assessment

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    Background: The incidence of chronic diseases such as type 2 diabetes is on the rise in countries worldwide, including Singapore. Health professional-delivered healthy lifestyle interventions have been shown to prevent type 2 diabetes. Yet ongoing personalised guidance from health professionals is not feasible or affordable at the population level. Novel digital interventions delivered using mobile technology such as conversational agents are a potential alternative for delivery of healthy lifestyle change behavioural interventions to the public. Objective: We explored Singaporeans’ perceptions on and experience of healthy living, diabetes and mobile health interventions (apps and conversational agents). This survey was done to help inform the design and development of a conversational agent focusing on healthy lifestyle change. Methods: This qualitative study was conducted over Aug and Sept 2019. 20 participants were recruited from relevant healthy living Facebook pages and groups. Semi-structured interviews were conducted in person or over the telephone using an interview guide. Interviews were transcribed and analysed in parallel by two researchers using Burnard’s method, a structured approach for thematic content analysis. Results: The collected data was organised into four main themes: (1) use of conversational agents, (2) ubiquity of smartphone applications, (3) understanding of diabetes and (4) barriers and facilitators to a healthy living in Singapore. Most participants used health-related mobile applications as well as conversational agents unrelated to healthcare. They provided diverse suggestions for future conversational agent-delivered interventions. Participants also highlighted several knowledge gaps in relation to diabetes and healthy living. In terms of barriers to healthy living, frequent dining out, high stress levels, lack of work-life balance and dearth of free time to engage in physical activity were mentioned. In contrast, discipline, pre-planning and sticking to a routine were important for enabling a healthy lifestyle. Conclusions: Participants in our study commonly used mobile health interventions and provided important insights into their knowledge gaps and needs in relation to healthy lifestyle behaviour change. Future digital interventions like conversational agents focusing on healthy lifestyle and diabetes prevention should aim to address the barriers highlighted in our study and motivate individuals to adopt habits for healthy living

    Health-related quality of life in patients treated with Continuous Ambulatory Peritoneal Dialysis and Automated Peritoneal Dialysis in Singapore

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    OBJECTIVE: This study aimed to compare the health-related quality of life (HRQOL) in patients with end-stage renal disease (ESRD) treated with continuous ambulatory peritoneal dialysis (CAPD) and automated peritoneal dialysis (APD) in Singapore. METHODS: The data used in this study were from two cross-sectional surveys of ESRD patients. HRQOL was assessed using the Kidney Disease Quality of Life (KDQOL) instrument. Socio-demographic characteristics and clinical data were collected. The physical component summary (PCS) and mental component summary (MCS) scores, kidney disease component summary (KDCS) score and its three scales (symptoms, effects, burden), and one health utility score [EuroQol 5-dimension (EQ-5D)] were calculated and compared between CAPD and APD using multivariate linear regression. RESULTS: In total, 266 patients were included, with 145 on CAPD (mean age 60.8 years) and 121 on APD (mean age 57.4 years). After adjustment for all variables collected, APD patients had significant higher scores in PCS and KDQOL symptoms than CAPD patients, suggesting that APD was associated with better physical health and milder dialysis-related symptoms. CONCLUSION: The HRQOL of CAPD and APD patients was largely equivalent in Singapore, but APD patients seemed to experience better physical health and be less bothered by dialysis-related symptoms
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