26 research outputs found

    Stop AAPI Hate National Report

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    This national report covers the 9,081 incident reports to Stop AAPI Hate from March 19, 2020 to June 30, 2021. The number of hate incidents reported to our center increased from 6,603 to 9,081 during April—June 2021. Of all incident reports, 4,548 hate incidents occurred in 2020 and 4,533 of hate incidents occurred in 2021.

    The emotional labour of quality improvement work in end of life care : a qualitative study of Patient and Family Centred Care in England

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    Abstract: Background: There is a growing emphasis on understanding patient experience in order to inform efforts to support improvement. This paper reports findings from an implementation study of an evidence-based intervention called Patient and Family Centred Care (PFCC) designed to tap into patient experiences as a basis for improvement. In this study the PFCC intervention was spread to a new service area (end of life care) and delivered at scale in England. The findings presented here focus specifically on one key aspect of the intervention: staff shadowing of patients, and the experiences of staff carrying out shadowing for the purposes of service improvements. Methods: The study methods were ethnographic observations of key events, semi-structured interviews with members of participating teams and the programme implementation support team and managers, and a review of the documents used in the set up and running of the programme. Results: One of the key strengths of the PFCC approach is to encourage staff through shadowing to engage with patient experience of services. Many staff described the process of shadowing as a transformative experience that alerted them to immediate areas where their services could be improved. However, engaging with patient experience of end of life care services also had unintended consequences for some staff in the form of emotional labour. Furthermore, we observed difficulties encountered by staff that are not accounted for in the existing PFCC literature relating to how care service structures may unevenly distribute the amount of ‘emotional labour’ that staff members need to invest in implementing the programme. Conclusions: Connecting with patient experience is a crucial aspect of a number of quality improvement interventions that aim to help staff to engage with the lived experience of their services and reconnect their motivations for working in the health care system. However, there may be unintended consequences for health care service staff, particularly in sensitive areas of service delivery such as end of life care. The ‘emotional labour’ for staff of engaging in quality improvement work informed by patient experience should be considered in planning and supporting patient experience led quality improvement

    An approach to compute user similarity for GPS applications

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    This paper was accepted for publication in the journal Knowledge-Based Systems and the definitive published version is available at http://dx.doi.org/10.1016/j.knosys.2016.09.017.The proliferation of GPS enabled devices has led people to share locations both consciously and unconsciously. Large spatio-temporal data comprising of shared locations and whereabouts are now being routinely collected for analysis. As user movements are generally driven by their interests, so mining these mobility patterns can reveal commonalities between a pair of users. In this paper, we present a framework for mining the published trajectories to identify patterns in user mobility. In this framework, we extract the locations where a user stays for a period of time popularly known as stay points. These stay points help to identify the interests of a user. The statistics of pattern and check-in distributions over the GPS data are used to formulate similarity measures for finding K-nearest neighbors of an active user. In this work, we categorize the neighbors into three groups namely strongly similar, closely similar and weakly similar. We introduce three similarity measures to determine them, one for each of the categories. We perform experiments on a real-world GPS log data to find the similarity scores between a pair of users and subsequently find the effective K-neighbors. Experimental results show that our proposed metric outperforms existing metrics in literature

    Chapel

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    2016/10/18. Professor of Asian American Studies, San Francisco State University

    Redefining Religious Nones: Lessons from Chinese and Japanese American Young Adults

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    This analysis of Chinese and Japanese American young adults, based on the Pew Research Center 2012 Asian American Survey, examines the religious nones of these ethnic groups. Rather than focusing on their beliefs and belonging to religious denominations, it highlights their spiritual practices and ethical relations using an Asian-centric liyi (ritual and righteousness) discourse. Despite being religious nones, these groups have high rates of ancestor veneration and participation in ethnic religious festivals, as well as strong familial and reciprocal obligations. These findings indicate that, similar to other American Millennials, these groups may be better understood by how they do religion than in what they believe
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