Iain Buchan
Biographic Data
| ID | 4620177 |
|---|---|
| NAME | Iain Buchan |
| GIVEN NAMES | Iain |
| FAMILY NAME | Buchan |
| SIGNATURE | BUCHAN I |
| AFFILIATIONS | University of Manchester |
| ORCID | 0000-0003-3392-1650 |
| VERIFIED | Yes |
| TOTAL WORKS | 13 |
| TOTAL CITATIONS | 23 |
| AUTHOR COUNT | 13 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2006 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 3 |
Understanding How Green Space Accessibility and Utilisation Relate to Common Mental Health
Quality of life, care needs and priorities in atrial fibrillation
Both number and combinations of AF comorbidities shape patients' and caregivers' experiences. Considering comorbidity profiles can help define targeted care plans and caregiver support initiatives
Surveillance of Domestic Violence Using Text Mining Outputs From Australian Police Records
In Australia, domestic violence reports are mostly based on data from the police, courts, hospitals, and ad hoc surveys. However, gaps exist in reporting information such as victim injuries, mental health status and abuse types. The police record details of domestic violence events as structured information (e.g., gender, postcode, ethnicity), but also in text narratives describing other details such as injuries, substance use, and mental health …
How does vulnerability to Covid-19 vary between communities in England? Developing a Small Area Vulnerability Index (Savi)
BACKGROUND: During the initial wave of the COVID-19 epidemic in England, several population characteristics were associated with increased risk of mortality-including, age, ethnicity, income deprivation, care home residence and housing conditions. In order to target control measures and plan for future waves of the epidemic, public health agencies need to understand how these vulnerabilities are distributed across and clustered within communities…
Pride and prejudice – What can we learn from peer review
Objectives: Peer review is a powerful tool that steers the education and practice of medical researchers but may allow biased critique by anonymous reviewers. We explored factors unrelated to research quality that may influence peer review reports, and assessed the possibility that sub-types of reviewers exist. Our findings could potentially improve the peer review process.Methods: We evaluated the harshness, constructiveness and positiveness in …
Increasing socioeconomic gap between the young and old
BACKGROUND: At a low geographical level, little is known about the associations between population characteristics and deprivation, and their trends, which would be directly affected by the house market, labour pressures and government policies. We describe temporal trends in health and overall deprivation in England by age, sex, urbanity and ethnicity. METHODS: Repeated cross-sectional whole population study for England, 2004-2015, at a low geog…
Geographical epidemiology of health and overall deprivation in England, its changes and persistence from 2004 to 2015
BACKGROUND: Socioeconomic deprivation is a key determinant for health. In England, the Index of Multiple Deprivation (IMD) is a widely used composite measure of deprivation. However, little is known about its spatial clustering or persistence across time. METHODS: Data for overall IMD and its health domain were analysed for 2004-2015 at a low geographical area (average of 1500 people). Levels and temporal changes were spatially visualised for the…
North-South disparities in English mortality1965–2015
BACKGROUND: Social, economic and health disparities between northern and southern England have persisted despite Government policies to reduce them. We examine long-term trends in premature mortality in northern and southern England across age groups, and whether mortality patterns changed after the 2008-2009 Great Recession. METHODS: Population-wide longitudinal (1965-2015) study of mortality in England's five northernmost versus four southernmo…
Regression based quasi-experimental approach when randomisation is not an option
Interrupted time series analysis is a quasi-experimental design that can evaluate an intervention effect, using longitudinal data. The advantages, disadvantages, and underlying assumptions of various modelling approaches are discussed using published examples
OP71 Discriminating Clinical Outcome Models May Drift Unacceptably
Background Clinical prediction models are used for different purposes, but purpose-specific validation is not usually carried out. The ability of a model to discriminate between true positives and false positives has applications in clinical decision making, screening, and service evaluation. The calibration (goodness-of-fit) of a model is a key indicator of how well a model’s predicted outcomes reflect those actually observed. Initial validation…
OP81 Estimating the Potential of Population Level Changes in Cholesterol and Blood Pressure for Reducing UK Coronary Heart Disease Mortality Rates
Background Coronary heart disease (CHD) mortality is declining. However, population ageing and increasing obesity and diabetes might reverse this trend. Strategies to reduce salt and saturated fat intake could substantially decrease population-wide cholesterol and blood pressure levels and consequently reduce CHD events. Our aim was to explore the potential reduction in CHD mortality burden that might be achieved by population shifts in these ris…
Adherence to Haart
Adherence to Antiretroviral Therapy in Sub-Saharan Africa and North America
CONTEXT: Adherence to antiretroviral therapy is a powerful predictor of survival for individuals living with human immunodeficiency virus (HIV) and AIDS. Concerns about incomplete adherence among patients living in poverty have been an important consideration in expanding the access to antiretroviral therapy in sub-Saharan Africa. OBJECTIVE: To evaluate estimates of antiretroviral therapy adherence in sub-Saharan Africa and North America. DATA SO…
North-South disparities in English mortality1965–2015
BACKGROUND: Social, economic and health disparities between northern and southern England have persisted despite Government policies to reduce them. We examine long-term trends in premature mortality in northern and southern England across age groups, and whether mortality patterns changed after the 2008-2009 Great Recession. METHODS: Population-wide longitudinal (1965-2015) study of mortality in England's five northernmost versus four southernmo…
How does vulnerability to Covid-19 vary between communities in England? Developing a Small Area Vulnerability Index (Savi)
BACKGROUND: During the initial wave of the COVID-19 epidemic in England, several population characteristics were associated with increased risk of mortality-including, age, ethnicity, income deprivation, care home residence and housing conditions. In order to target control measures and plan for future waves of the epidemic, public health agencies need to understand how these vulnerabilities are distributed across and clustered within communities…
Geographical epidemiology of health and overall deprivation in England, its changes and persistence from 2004 to 2015
BACKGROUND: Socioeconomic deprivation is a key determinant for health. In England, the Index of Multiple Deprivation (IMD) is a widely used composite measure of deprivation. However, little is known about its spatial clustering or persistence across time. METHODS: Data for overall IMD and its health domain were analysed for 2004-2015 at a low geographical area (average of 1500 people). Levels and temporal changes were spatially visualised for the…
Adherence to Haart
Adherence to Antiretroviral Therapy in Sub-Saharan Africa and North America
CONTEXT: Adherence to antiretroviral therapy is a powerful predictor of survival for individuals living with human immunodeficiency virus (HIV) and AIDS. Concerns about incomplete adherence among patients living in poverty have been an important consideration in expanding the access to antiretroviral therapy in sub-Saharan Africa. OBJECTIVE: To evaluate estimates of antiretroviral therapy adherence in sub-Saharan Africa and North America. DATA SO…
OP71 Discriminating Clinical Outcome Models May Drift Unacceptably
Background Clinical prediction models are used for different purposes, but purpose-specific validation is not usually carried out. The ability of a model to discriminate between true positives and false positives has applications in clinical decision making, screening, and service evaluation. The calibration (goodness-of-fit) of a model is a key indicator of how well a model’s predicted outcomes reflect those actually observed. Initial validation…
OP81 Estimating the Potential of Population Level Changes in Cholesterol and Blood Pressure for Reducing UK Coronary Heart Disease Mortality Rates
Background Coronary heart disease (CHD) mortality is declining. However, population ageing and increasing obesity and diabetes might reverse this trend. Strategies to reduce salt and saturated fat intake could substantially decrease population-wide cholesterol and blood pressure levels and consequently reduce CHD events. Our aim was to explore the potential reduction in CHD mortality burden that might be achieved by population shifts in these ris…
Regression based quasi-experimental approach when randomisation is not an option
Interrupted time series analysis is a quasi-experimental design that can evaluate an intervention effect, using longitudinal data. The advantages, disadvantages, and underlying assumptions of various modelling approaches are discussed using published examples
North-South disparities in English mortality1965–2015
BACKGROUND: Social, economic and health disparities between northern and southern England have persisted despite Government policies to reduce them. We examine long-term trends in premature mortality in northern and southern England across age groups, and whether mortality patterns changed after the 2008-2009 Great Recession. METHODS: Population-wide longitudinal (1965-2015) study of mortality in England's five northernmost versus four southernmo…
Increasing socioeconomic gap between the young and old
BACKGROUND: At a low geographical level, little is known about the associations between population characteristics and deprivation, and their trends, which would be directly affected by the house market, labour pressures and government policies. We describe temporal trends in health and overall deprivation in England by age, sex, urbanity and ethnicity. METHODS: Repeated cross-sectional whole population study for England, 2004-2015, at a low geog…
Geographical epidemiology of health and overall deprivation in England, its changes and persistence from 2004 to 2015
BACKGROUND: Socioeconomic deprivation is a key determinant for health. In England, the Index of Multiple Deprivation (IMD) is a widely used composite measure of deprivation. However, little is known about its spatial clustering or persistence across time. METHODS: Data for overall IMD and its health domain were analysed for 2004-2015 at a low geographical area (average of 1500 people). Levels and temporal changes were spatially visualised for the…
Pride and prejudice – What can we learn from peer review
Objectives: Peer review is a powerful tool that steers the education and practice of medical researchers but may allow biased critique by anonymous reviewers. We explored factors unrelated to research quality that may influence peer review reports, and assessed the possibility that sub-types of reviewers exist. Our findings could potentially improve the peer review process.Methods: We evaluated the harshness, constructiveness and positiveness in …
How does vulnerability to Covid-19 vary between communities in England? Developing a Small Area Vulnerability Index (Savi)
BACKGROUND: During the initial wave of the COVID-19 epidemic in England, several population characteristics were associated with increased risk of mortality-including, age, ethnicity, income deprivation, care home residence and housing conditions. In order to target control measures and plan for future waves of the epidemic, public health agencies need to understand how these vulnerabilities are distributed across and clustered within communities…
Surveillance of Domestic Violence Using Text Mining Outputs From Australian Police Records
In Australia, domestic violence reports are mostly based on data from the police, courts, hospitals, and ad hoc surveys. However, gaps exist in reporting information such as victim injuries, mental health status and abuse types. The police record details of domestic violence events as structured information (e.g., gender, postcode, ethnicity), but also in text narratives describing other details such as injuries, substance use, and mental health …
Understanding How Green Space Accessibility and Utilisation Relate to Common Mental Health
Quality of life, care needs and priorities in atrial fibrillation
Both number and combinations of AF comorbidities shape patients' and caregivers' experiences. Considering comorbidity profiles can help define targeted care plans and caregiver support initiatives
Medicine (9 works) · Population (6 works) · Demography (5 works) · Health disparities and outcomes (5 works) · Environmental health (4 works) · Chronic Disease Management Strategies (3 works) · Ethnic group (3 works) · Gerontology (3 works) · Internal Medicine (3 works) · Political science (3 works)