Evidence-Based Health Care

This talk was delivered by Martin Bland. Martin Bland joined the University of York as Professor of Health Statistics in 2003, retiring and becoming Emeritus Professor in 2015. Earlier posts were at St. George's and St. Thomas's Hospital Medical Schools and in industry with ICI, working on agricultural experiments. He is the author of An Introduction to Medical Statistics, now in its fourth edition, and co-author of Statistical Questions in Evidence-based Medicine, both Oxford University Press, 303 refereed journal articles, and, with the late Prof. Doug Altman, the Statistics Notes series in the British Medical Journal. He and Doug Altman also invented the limits of agreement method for comparing methods of measurement, which led to the most highly cited papers in six different journals and one of the top 30 most highly cited papers over all fields. This is an account of a little research study which I carried out, using myself as the only research subject. I shall describe how I came to do it and some of the practical statistical problems which I encountered. These include serial P-values, the effect of other factors, and generalisability from a single subject.

This talk was delivered by Martin Bland. Martin Bland joined the University of York as Professor of Health Statistics in 2003, retiring and becoming Emeritus Professor in 2015. Earlier posts were at St. George's and St. Thomas's Hospital Medical Schools and in industry with ICI, working on agricultural experiments. He is the author of An Introduction to Medical Statistics, now in its fourth edition, and co-author of Statistical Questions in Evidence-based Medicine, both Oxford University Press, 303 refereed journal articles, and, with the late Prof. Doug Altman, the Statistics Notes series in the British Medical Journal. He and Doug Altman also invented the limits of agreement method for comparing methods of measurement, which led to the most highly cited papers in six different journals and one of the top 30 most highly cited papers over all fields. This is an account of a little research study which I carried out, using myself as the only research subject. I shall describe how I came to do it and some of the practical statistical problems which I encountered. These include serial P-values, the effect of other factors, and generalisability from a single subject.

This guest lecture draws on nearly thirty years' experience of doing qualitative research in a variety of health settings that contain people, blood, injury, disease, emotions, and technologies. Prof Catherine Pope will describe some of the practical difficulties and everyday challenges of doing ethnography in these environments, and reflect on what it feels like to be an embodied researcher. Catherine Pope is Professor of Medical Sociology, and, from July 2019, will be based at the Nuffield Department of Primary Care Health Sciences, University of Oxford. She has championed the use of qualitative methods in health research, and played a leading role in developing qualitative evidence synthesis. Her research includes studies of NHS urgent and emergency care, evaluations of health service organisation and reconfiguration, and projects about everyday health care work. This talk was held as part of the Qualitative Research Methods course which is part of the Evidence-Based Health Care Programme.

This guest lecture draws on nearly thirty years' experience of doing qualitative research in a variety of health settings that contain people, blood, injury, disease, emotions, and technologies. Prof Catherine Pope will describe some of the practical difficulties and everyday challenges of doing ethnography in these environments, and reflect on what it feels like to be an embodied researcher. Catherine Pope is Professor of Medical Sociology, and, from July 2019, will be based at the Nuffield Department of Primary Care Health Sciences, University of Oxford. She has championed the use of qualitative methods in health research, and played a leading role in developing qualitative evidence synthesis. Her research includes studies of NHS urgent and emergency care, evaluations of health service organisation and reconfiguration, and projects about everyday health care work. This talk was held as part of the Qualitative Research Methods course which is part of the Evidence-Based Health Care Programme.

The global health burden of heart failure is high, both as the common end-point for many cardiovascular diseases (e.g. hypertension and heart attacks) and a common point on the trajectory of non-cardiovascular diseases (e.g. chronic respiratory disease). Despite advances in treatment, our ability to tailor strategies for prevention or management to individuals with heart failure is currently limited. Large-scale electronic health records and novel data analysis techniques have great potential to improve the status quo in both research and practice. In this talk, Amitava Banerjee examines the real progress and the limitations of recent big data research in heart failure, from epidemiology to machine learning. Amitava Banerjee is Associate Professor in Clinical Data Science at University College London, and Honorary Consultant Cardiologist at University College London Hospitals and Barts Health NHS Trusts. He is a pragmatic researcher, a passionate educator and a practising clinician, with interests spanning data science, cardiovascular disease, global health, training and evidence-based healthcare. After qualifying from Oxford Medical School, he trained as a junior doctor in Oxford, Newcastle, Hull and London. His interest in preventive cardiology and evidence-based medicine led to a Masters in Public Health at Harvard (2004/05), an internship at the World Health Organisation(2005) and DPhil in epidemiology from Oxford (2010). He was Clinical Lecturer in Cardiovascular Medicine at the University of Birmingham, before moving to UCL in 2015. He works across two busy tertiary care settings: University College London Hospitals and Barts Health NHS Trusts with both inpatient and outpatient commitments. Although he is subspecialised in heart failure, he has ongoing practice in acute general cardiology and a keen interest in the diagnosis and management of atrial fibrillation. His clinical work very much informs his research and vice versa, whether in the evaluation of medical technology or the ethics of large-scale use of patient data. This talk was held as part of the Big Data Epidemiology module which is part of the MSc in Evidence-Based Health Care and the MSc in EBHC Medical Statistics.

The global health burden of heart failure is high, both as the common end-point for many cardiovascular diseases (e.g. hypertension and heart attacks) and a common point on the trajectory of non-cardiovascular diseases (e.g. chronic respiratory disease). Despite advances in treatment, our ability to tailor strategies for prevention or management to individuals with heart failure is currently limited. Large-scale electronic health records and novel data analysis techniques have great potential to improve the status quo in both research and practice. In this talk, Amitava Banerjee examines the real progress and the limitations of recent big data research in heart failure, from epidemiology to machine learning. Amitava Banerjee is Associate Professor in Clinical Data Science at University College London, and Honorary Consultant Cardiologist at University College London Hospitals and Barts Health NHS Trusts. He is a pragmatic researcher, a passionate educator and a practising clinician, with interests spanning data science, cardiovascular disease, global health, training and evidence-based healthcare. After qualifying from Oxford Medical School, he trained as a junior doctor in Oxford, Newcastle, Hull and London. His interest in preventive cardiology and evidence-based medicine led to a Masters in Public Health at Harvard (2004/05), an internship at the World Health Organisation(2005) and DPhil in epidemiology from Oxford (2010). He was Clinical Lecturer in Cardiovascular Medicine at the University of Birmingham, before moving to UCL in 2015. He works across two busy tertiary care settings: University College London Hospitals and Barts Health NHS Trusts with both inpatient and outpatient commitments. Although he is subspecialised in heart failure, he has ongoing practice in acute general cardiology and a keen interest in the diagnosis and management of atrial fibrillation. His clinical work very much informs his research and vice versa, whether in the evaluation of medical technology or the ethics of large-scale use of patient data. This talk was held as part of the Big Data Epidemiology module which is part of the MSc in Evidence-Based Health Care and the MSc in EBHC Medical Statistics.

This evening lecture is given in conjunction with the Introduction to Study Design and Research Methods accredited short course, part of the Evidence-Based Healthcare programme at the University of Oxford's Department for Continuing Education. Carmen is a Public Health Nutrition scientist at the Department of Primary Care Health Sciences (University of Oxford). Her principal research interests lie in the prevention and management of non-communicable chronic disease through dietary improvements, in particular, obesity and cardiovascular disease. Diet is an important determinant of health, and food purchasing is a key antecedent to consumption hence improving the nutritional quality of food purchases presents a clear opportunity to intervene. She has been involved in a recent systematic review of interventions implemented in grocery stores which suggested that price manipulations, healthier swap suggestions, and perhaps manipulations to item availability change food purchasing and could play a role in public health strategies to improve health. However, the evidence base for interventions in grocery stores or at the individual level is still very limited. She is currently working on a range of studies aiming to examine the effectiveness of interventions based around healthier swaps on the quality of the food purchased and eaten as well as the short term effects on relevant health outcomes. She has recently conducted a complex behavioural intervention based in primary care to improve diet quality among patients with high cholesterol (PC-SHOP study). The intervention consisted of health professional (HP) advice alone, or in combination with personalised feedback based on the nutritional analysis of grocery store loyalty card data from one of the largest UK supermarkets. Overall her research aims to develop and test simpler and inexpensive ways to help people improve diet and prevent cardiovascular disease and obesity. This evening lecture is given in conjunction with the Introduction to Study Design and Research Methods accredited short course, part of the Evidence-Based Healthcare programme at the University of Oxford's Department for Continuing Education. Find out more.

This evening lecture is given in conjunction with the Introduction to Study Design and Research Methods accredited short course, part of the Evidence-Based Healthcare programme at the University of Oxford's Department for Continuing Education. Carmen is a Public Health Nutrition scientist at the Department of Primary Care Health Sciences (University of Oxford). Her principal research interests lie in the prevention and management of non-communicable chronic disease through dietary improvements, in particular, obesity and cardiovascular disease. Diet is an important determinant of health, and food purchasing is a key antecedent to consumption hence improving the nutritional quality of food purchases presents a clear opportunity to intervene. She has been involved in a recent systematic review of interventions implemented in grocery stores which suggested that price manipulations, healthier swap suggestions, and perhaps manipulations to item availability change food purchasing and could play a role in public health strategies to improve health. However, the evidence base for interventions in grocery stores or at the individual level is still very limited. She is currently working on a range of studies aiming to examine the effectiveness of interventions based around healthier swaps on the quality of the food purchased and eaten as well as the short term effects on relevant health outcomes. She has recently conducted a complex behavioural intervention based in primary care to improve diet quality among patients with high cholesterol (PC-SHOP study). The intervention consisted of health professional (HP) advice alone, or in combination with personalised feedback based on the nutritional analysis of grocery store loyalty card data from one of the largest UK supermarkets. Overall her research aims to develop and test simpler and inexpensive ways to help people improve diet and prevent cardiovascular disease and obesity. This evening lecture is given in conjunction with the Introduction to Study Design and Research Methods accredited short course, part of the Evidence-Based Healthcare programme at the University of Oxford's Department for Continuing Education. Find out more.

Fiona Godlee, Editor in Chief of The BMJ, gives a talk for the EBHC podcast series Fiona Godlee is the Editor in Chief of The BMJ. She qualified as a doctor in 1985, trained as a general physician in Cambridge and London, and is a Fellow of the Royal College of Physicians. She has written and lectured on a broad range of issues, including health and the environment, the ethics of academic publishing, evidence based medicine, access to clinical trial data, research integrity, open access publishing, patient partnership, conflict of interest, and overdiagnosis and overtreatment. After joining The BMJ as an assistant editor in 1990, she moved in 2000 to help establish the open access publisher BioMedCentral as its founding Editorial Director for Medicine. In 2003 she returned to BMJ to lead its Knowledge division and was appointed Editor in Chief of The BMJ in March 2005. Fiona is honorary professor at the Netherlands School for Primary Care Research (CaRe), honorary fellow of the Royal College of General Practitioners, a senior visiting fellow at the Institute of Public Health at the University of Cambridge, honorary fellow of the Faculty of Public Health and a by-fellow of King’s College Cambridge. She is on the advisory or executive boards of the Health Improvement Studies (THIS) Institute (thisinstitute.cam.ac.uk), Alltrials (alltrials.net), the Peer Review Congress (peerreviewcongress.org), the International Forum for Quality and Safety and Healthcare (internationalforum.bmj.com), Evidence Live (evidencelive.org), Preventing Overdiagnosis (preventingoverdiagnosis.net), the UK Health Alliance on Climate Change (ukhealthalliance.org) and the Climate and Health Council. She was a Harkness Fellow (1994-5), President of the World Association of Medical Editors (WAME) (1998-2000), Chair of the Committee on Publication Ethics (COPE) (2003-5), and PPA Editor of the Year (2014). Fiona is co-editor of Peer Review in Health Sciences. She lives in Cambridge with her husband and two children.

Fiona Godlee, Editor in Chief of The BMJ, gives a talk for the EBHC podcast series Fiona Godlee is the Editor in Chief of The BMJ. She qualified as a doctor in 1985, trained as a general physician in Cambridge and London, and is a Fellow of the Royal College of Physicians. She has written and lectured on a broad range of issues, including health and the environment, the ethics of academic publishing, evidence based medicine, access to clinical trial data, research integrity, open access publishing, patient partnership, conflict of interest, and overdiagnosis and overtreatment. After joining The BMJ as an assistant editor in 1990, she moved in 2000 to help establish the open access publisher BioMedCentral as its founding Editorial Director for Medicine. In 2003 she returned to BMJ to lead its Knowledge division and was appointed Editor in Chief of The BMJ in March 2005. Fiona is honorary professor at the Netherlands School for Primary Care Research (CaRe), honorary fellow of the Royal College of General Practitioners, a senior visiting fellow at the Institute of Public Health at the University of Cambridge, honorary fellow of the Faculty of Public Health and a by-fellow of King’s College Cambridge. She is on the advisory or executive boards of the Health Improvement Studies (THIS) Institute (thisinstitute.cam.ac.uk), Alltrials (alltrials.net), the Peer Review Congress (peerreviewcongress.org), the International Forum for Quality and Safety and Healthcare (internationalforum.bmj.com), Evidence Live (evidencelive.org), Preventing Overdiagnosis (preventingoverdiagnosis.net), the UK Health Alliance on Climate Change (ukhealthalliance.org) and the Climate and Health Council. She was a Harkness Fellow (1994-5), President of the World Association of Medical Editors (WAME) (1998-2000), Chair of the Committee on Publication Ethics (COPE) (2003-5), and PPA Editor of the Year (2014). Fiona is co-editor of Peer Review in Health Sciences. She lives in Cambridge with her husband and two children.