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The University of Kent, Canterbury, Kent, CT2 7NZ, T +44 (0)1227 764000
In addition to trials, we also have over 20 years’ experience in collecting, interpreting and applying survey and service performance data to inform NHS and local government policy decisions. We have carried out public health and health services research studies for national government, the European Union and the World Health Organisation. We have built up a reputation for conducting large health and lifestyle surveys (sample sizes up to 50,000) and give advice on the design and all other aspects of carrying out large postal surveys.
We also conduct face-to-face interviews and focus groups, and carry out observational studies. We have in-house capacity for all types of survey using manual and automatic data entry as appropriate. For work requiring a large field-force, such as surveys requiring hundreds of face-to-face or telephone interviews, we use specialist field-workers.
We have recently specialised in specific settings where there are health and social inequalities, with recent work related to community groups, New Deal, Sure Start, neighbourhood renewal areas and deprivation in coastal towns
We provide a cost-effective solution for managers, professionals and researchers in health and social care. The unit provides support for all stages of constructing surveys including:
Methods: As part of an academic department, the survey unit brings sound research methods and rigour to the collection and analysis of survey data. We can draw on existing or validated questions from other surveys. We work hard to achieve good response rates and are developing new ways to address the fall in response rates that has occurred in recent years. Personal data are handled confidentially and all data are cleaned before analysis.
Results: We can prepare reports with a policy or health focus, and make research findings more widely known through publications and presentations.
Style of working: The unit’s response to research commissions is rapid but flexible. Appropriately skilled staff are available, such as fully trained and experienced data entry staff, and work is carried out “in-house”.