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Position: Research Fellow in Mixed Methods Health Research
Institution: University College London
Department: Institute of Health Informatics
Location: London, United Kingdom
Duties: Identify data on digital health interventions for cardiovascular disease and diabetes mellitus in South Asians compared to other populations from literature and policies, using techniques such as scoping reviews, realist synthesis and policy content analysis; Use qualitative methods to investigate determinants of uptake, use and effectiveness of digital health interventions for cardiovascular disease and diabetes mellitus in South Asians, compared with White British individuals at levels of individual and intervention; Use mixed methods to identify reasons at levels of individual, intervention, healthcare system and society for any observed differences for digital health interventions for cardiovascular disease and diabetes mellitus in South Asians; Develop recommendations for monitoring, analysis, evaluation and policy regarding digital health interventions to reduce health inequalities by ethnicity and socioeconomic status
Requirements: Knowledge, experience and advanced skills in designing, conducting, analysing and interpreting qualitative research; PhD in field of social science such as health services research, public health, sociology, psychology, anthropology or a similar level of experience; Skills in qualitative data analysis software, e.g. nVivo, MaxQDA or similar; Ability to manage own time and prioritise workload to meet project deadlines; Experience in digital health is desirable; Experience of mixed methods research; Self-motivated and ability to work on own initiative; Willingness and ability to work collaboratively with colleagues
   
Text: Research Fellow in Mixed Methods Health Research, - Ref:1880662 Click here to go back to search results Apply Now UCL Department / Division Institute of Health Informatics Location of position London Grade 7 Hours Part Time Hours per week (%FTE) 21.9 hours per week (60%FTE) Salary (inclusive of London allowance) £36,770 - £44,388 per annum Salary pro-rata for part time vacancies Duties and Responsibilities The Institute of Health Informatics (IHI) was established in August 2014 as part of the Faculty of Population Health Sciences (FPHS) within the UCL School of Life and Medical Sciences (SLMS). At the UCL Institute of Health Informatics, we work to develop and evaluate data collecting systems and utilise the data produced. Central to our work are electronic health records (EHR), which offer unique opportunities for the advancement of medical research, quality of care, and outcomes. As a Research Fellow in Mixed Methods Health Research, you will be expected to lead collaborative mixed methods research within the NIHR-funded project to investigate inequalities in digital health interventions for diabetes mellitus and cardiovascular diseases, particularly in Black, Asian and minority ethnic and low socioeconomic status groups. The initial focus will be on understanding how people of various South Asian backgrounds use digital health interventions for cardiovascular disease or diabetes and determine how to optimise their use of such technologies to improve their health. In this role you will: Identify data on digital health interventions for cardiovascular disease and diabetes mellitus in South Asians compared to other populations from literature and policies, using techniques such as scoping reviews, realist synthesis and policy content analysis. Use qualitative methods to investigate determinants of uptake, use and effectiveness of digital health interventions for cardiovascular disease and diabetes mellitus in South Asians, compared with White British individuals at levels of individual and intervention. Use mixed methods to identify reasons at levels of individual, intervention, healthcare system and society for any observed differences for digital health interventions for cardiovascular disease and diabetes mellitus in South Asians. Develop recommendations for monitoring, analysis, evaluation and policy regarding digital health interventions to reduce health inequalities by ethnicity and socioeconomic status. The post is funded until 31 July 2023 and further funding may become available. Key Requirements Knowledge, experience and advanced skills in designing, conducting, analysing and interpreting qualitative research. PhD in field of social science such as health services research, public health, sociology, psychology, anthropology or a similar level of experience. Skills in qualitative data analysis software, e.g. nVivo, MaxQDA or similar. Ability to manage own time and prioritise workload to meet project deadlines. Experience in digital health is desirable. Experience of mixed methods research. Self-motivated and ability to work on own initiative. Willingness and ability to work collaboratively with colleagues. Appointment at Grade 7 is dependent upon having been awarded a PhD; if this is not the case, initial appointment will be at Research Assistant Grade 6B (salary £32,217 - £33,958 per annum) with payment at Grade 7 being backdated to the date of final submission of the PhD thesis. If you believe you meet the requirements why not come and be part of this unique and exciting opportunity and be part of something where you feel included, valued and proud. Further Details A job description can be accessed at the bottom of this page. To apply for the vacancy please click on the Apply Now button below. For an informal discussion please contact Professor Ami Banerjee (ami.banerjee@ucl.ac.uk). For any queries regarding this advert or recruitment process please contact Anita Gorasia (a.gorasia@ucl.ac.uk). UCL Taking Action for Equality We will consider applications to work on a part-time, flexible and job share basis wherever possible. Closing Date 22 Dec 2021 Latest time for the submission of applications 23:59 Interview date TBC Our department holds an Athena SWAN Bronze award, in recognition of our commitment to advancing gender equality. This appointment is subject to UCL Terms and Conditions of Service for Research and Support Staff. Please use these links to find out more about UCL working life including the benefits we offer and UCL Terms and Conditions related to this job. Job description and person specification PO for jobs.ac.uk Apply Now
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