Frank de Vocht
Frank de Vocht is a Senior Lecturer in Epidemiology and Public Health Research, and joined the School of Social and Community Medicine and NIHR School of Public Health Research in 2014. He obtained his PhD from Utrecht University in the Netherlands and subsequently worked at the International Agency for Research on Cancer in Lyon, France, and the Centre for Epidemiology/Centre for Occupational and Environmental Health at the University of Manchester, before coming to Bristol. He has over 70 peer-review publications and has written a number of book chapters on epidemiology, exposure assessment and the effects of electromagnetic fields on humans. His work is funded by NIHR, the European Union and several charities, and he specializes in epidemiology of lifestyle, environmental, and occupational risk factors, with a special interest in the assessment, measurement, modelling and interpretation of exposures for epidemiological research. His work to date includes work on the health effects of ionizing and non-ionizing radiation, carcinogenic risk in various industries, the health effects of air pollution, and the use of probabilistic methodology in public health research. In addition to his position at the University of Bristol, he is also an honorary Senior Lecturer at the Centre for Epidemiology at The University of Manchester and committee member of the UK Committee on Medical Aspects of Radiation in the Environment (COMARE).
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Papers by Frank de Vocht
Research suggests that policy makers often use personal contacts to find information and advice. However, little is known who or what are the main sources of information for public health policy makers. This study aims to describe policy makers’ sources of information and compare categorical with network data.
Methods
A questionnaire survey of public health policy makers across Greater Manchester was carried out (response rate 48%). All policy actors involved in public health policy (finding, analyzing or producing information, producing or implementing policy) in Greater Manchester were included in the sampling frame. Respondents were provided with a list of sources of information and asked which they used; if they used any other sources of information, and finally to name specific individuals who acted as sources of information. Data were analysed using frequencies and network analysis.
Results
The most frequently chosen sources of information from the categorical data were NICE, government websites and Directors of Public Health. However, the network data showed that the main sources of information in the network were actually mid-level managers in the NHS, who had no direct expertise in public health. Academics and researchers did not feature in the network.
Conclusion
Both survey and network analyses provide useful insights into how policy makers access information. Network analysis offers practical and theoretical contributions to the EBP (spell out) debate. Identifying individuals who act as key users and producers of evidence allows academics to target actors likely to use and disseminate their work.