I am a Chancellor's Fellow at the University of Edinburgh's Usher Institute, and part of the Asthma UK Centre for Applied Research (AUKCAR).
My primary research interests include:
- Machine Learning Classification Models for Medical Prognostic Modelling
- Data Extraction from Electronic Health Records
- Estimating Medication Adherence from Primary Care Prescription Records
- Clinical Decision Support Tool Co-Design
- Understanding the Barriers and Facilitators of Clinical Decision Support Tool Adoption
Highlighted Publications
June, 2024
Cause of death coding in asthma
Chung A, Opoku-Pare GA & Tibble H
While clinical coding is intended to be an objective and standardized practice, it is important to recognize that it is not entirely the case.
The clinical and bureaucratic practices from event of death to a case being entered into a research dataset are important context for analysing
and interpreting this data. Variation in practices can influence the accuracy of the final coded record in two different stages: the reporting of
the death certificate, and the International Classification of Diseases (Version 10; ICD-10) coding of that certificate. This study investigated
91,022 deaths recorded in the Scottish Asthma Learning Healthcare System dataset between 2000 and 2017. Asthma-related deaths were identified by
the presence of any of ICD-10 codes J45 or J46, in any position. These codes were categorized either as relating to asthma attacks specifically
(status asthmatic; J46) or generally to asthma diagnosis (J45). We found that one in every 200 deaths in this were coded as being asthma related.
Less than 1% of asthma-related mortality records used both J45 and J46 ICD-10 codes as causes. Infection (predominantly pneumonia) was more
commonly reported as a contributing cause of death when J45 was the primary coded cause, compared to J46, which specifically denotes asthma attacks.
Further inspection of patient history can be essential to validate deaths recorded as caused by asthma, and to identify potentially mis-recorded
non-asthma deaths, particularly in those with complex comorbidities.
June, 2024
Real-world severe COVID-19 outcomes associated with use of antivirals and neutralising monoclonal antibodies in Scotland
Tibble H, Mueller T, Proud E, Hall E, Kurdi A, Robertson C, Bennie M, Woolford L, Laidlaw L, Sterniczuk K, Sheikh A
We sought to investigate the incidence of severe COVID-19 outcomes after treatment with antivirals and neutralising monoclonal antibodies, and estimate
the comparative effectiveness of treatments in community-based individuals. We conducted a retrospective cohort study investigating clinical outcomes
of hospitalisation, intensive care unit admission and death, in those treated with antivirals and monoclonal antibodies for COVID-19 in Scotland between
December 2021 and September 2022. We compared the effect of various treatments on the risk of severe COVID-19 outcomes, stratified by most prevalent
sub-lineage at that time, and controlling for comorbidities and other patient characteristics. We identified 14,365 individuals treated for COVID-19
during our study period, some of whom were treated for multiple infections. The incidence of severe COVID-19 outcomes (inpatient admission or death)
in community-treated patients (81% of all treatment episodes) was 1.2% (n = 137/11894, 95% CI 1.0-1.4), compared to 32.8% in those treated in hospital
for acute COVID-19 (re-admissions or death; n = 40/122, 95% CI 25.1-41.5). For community-treated patients, there was a lower risk of severe outcomes
(inpatient admission or death) in younger patients, and in those who had received three or more COVID-19 vaccinations.
July, 2023
Estimating medication adherence from Electronic Health Records: comparing methods for mining and processing asthma treatment prescriptions
Tibble H, Sheikh A, Tsanas A.
We evaluated the limitations of various medication adherence measures, and highlight key considerations about the underlying data, condition, and population to
guide researchers choose appropriate adherence measures. This guidance will enable researchers to make more informed decisions about the methodology they employ,
ensuring that adherence is captured in the most meaningful way for their particular application needs.
March, 2023
Ethnic, racial and migrant inequalities in respiratory health
Tibble H, Daines L, Sheikh A.
Disparities in the incidence, prevalence, morbidity and mortality rates of many respiratory diseases are evident between ethnic groups.
Biological, cultural, and environmental factors related to ethnicity can all contribute to the differences in respiratory health observed
between ethnic minority groups, but inequalities observed are most commonly due to lower socio-economic status. People who migrate within
a country or across an international border may experience an improvement in respiratory health associated with improvements in socioeconomic
status. However, migrants may also experience worse health outcomes in destination countries, as they are faced by barriers in language and
culture, discrimination, exclusion, and limited access to health services. Whilst some high quality studies investigating ethnicity and
respiratory health are available, further research into ethnic differences is needed. Improving the recording of ethnicity in health records,
addressing barriers to accessing respiratory health care and improving cultural literacy more generally are some of the ways that inequalities
can be tackled.
December, 2022
Uptake of monoclonal antibodies and antiviral therapies for COVID-19 in Scotland
Tibble H, Mueller T, Proud E, Hall E, Kurdi A, Robertson C, Bennie M, Woolford L, Sheikh A.
There is a clear need to increase uptake of COVID-19 treatment options in individuals who are at high risk of severe COVID-19 outcomes —
particularly those who are younger than 18 years, are socioeconomically disadvantaged, have HIV and particular rheumatological conditions,
or have suboptimal protection from vaccination.
May, 2021
Health information technology and digital innovation for national learning health and care systems
Sheikh A, Anderson M, Albala S, Casadei B, Dean Franklin B, Richards M, Taylor D, Tibble H, Mossialios E.
There is a need to develop regulatory frameworks for the development, management, and procurement of artificial intelligence and health information technology systems in the National Health Service.
Cause of death coding in asthma
Chung A, Opoku-Pare GA & Tibble H
While clinical coding is intended to be an objective and standardized practice, it is important to recognize that it is not entirely the case. The clinical and bureaucratic practices from event of death to a case being entered into a research dataset are important context for analysing and interpreting this data. Variation in practices can influence the accuracy of the final coded record in two different stages: the reporting of the death certificate, and the International Classification of Diseases (Version 10; ICD-10) coding of that certificate. This study investigated 91,022 deaths recorded in the Scottish Asthma Learning Healthcare System dataset between 2000 and 2017. Asthma-related deaths were identified by the presence of any of ICD-10 codes J45 or J46, in any position. These codes were categorized either as relating to asthma attacks specifically (status asthmatic; J46) or generally to asthma diagnosis (J45). We found that one in every 200 deaths in this were coded as being asthma related. Less than 1% of asthma-related mortality records used both J45 and J46 ICD-10 codes as causes. Infection (predominantly pneumonia) was more commonly reported as a contributing cause of death when J45 was the primary coded cause, compared to J46, which specifically denotes asthma attacks. Further inspection of patient history can be essential to validate deaths recorded as caused by asthma, and to identify potentially mis-recorded non-asthma deaths, particularly in those with complex comorbidities.
Real-world severe COVID-19 outcomes associated with use of antivirals and neutralising monoclonal antibodies in Scotland
Tibble H, Mueller T, Proud E, Hall E, Kurdi A, Robertson C, Bennie M, Woolford L, Laidlaw L, Sterniczuk K, Sheikh A
We sought to investigate the incidence of severe COVID-19 outcomes after treatment with antivirals and neutralising monoclonal antibodies, and estimate the comparative effectiveness of treatments in community-based individuals. We conducted a retrospective cohort study investigating clinical outcomes of hospitalisation, intensive care unit admission and death, in those treated with antivirals and monoclonal antibodies for COVID-19 in Scotland between December 2021 and September 2022. We compared the effect of various treatments on the risk of severe COVID-19 outcomes, stratified by most prevalent sub-lineage at that time, and controlling for comorbidities and other patient characteristics. We identified 14,365 individuals treated for COVID-19 during our study period, some of whom were treated for multiple infections. The incidence of severe COVID-19 outcomes (inpatient admission or death) in community-treated patients (81% of all treatment episodes) was 1.2% (n = 137/11894, 95% CI 1.0-1.4), compared to 32.8% in those treated in hospital for acute COVID-19 (re-admissions or death; n = 40/122, 95% CI 25.1-41.5). For community-treated patients, there was a lower risk of severe outcomes (inpatient admission or death) in younger patients, and in those who had received three or more COVID-19 vaccinations.
Estimating medication adherence from Electronic Health Records: comparing methods for mining and processing asthma treatment prescriptions
Tibble H, Sheikh A, Tsanas A.
We evaluated the limitations of various medication adherence measures, and highlight key considerations about the underlying data, condition, and population to guide researchers choose appropriate adherence measures. This guidance will enable researchers to make more informed decisions about the methodology they employ, ensuring that adherence is captured in the most meaningful way for their particular application needs.
Ethnic, racial and migrant inequalities in respiratory health
Tibble H, Daines L, Sheikh A.
Disparities in the incidence, prevalence, morbidity and mortality rates of many respiratory diseases are evident between ethnic groups. Biological, cultural, and environmental factors related to ethnicity can all contribute to the differences in respiratory health observed between ethnic minority groups, but inequalities observed are most commonly due to lower socio-economic status. People who migrate within a country or across an international border may experience an improvement in respiratory health associated with improvements in socioeconomic status. However, migrants may also experience worse health outcomes in destination countries, as they are faced by barriers in language and culture, discrimination, exclusion, and limited access to health services. Whilst some high quality studies investigating ethnicity and respiratory health are available, further research into ethnic differences is needed. Improving the recording of ethnicity in health records, addressing barriers to accessing respiratory health care and improving cultural literacy more generally are some of the ways that inequalities can be tackled.
Uptake of monoclonal antibodies and antiviral therapies for COVID-19 in Scotland
Tibble H, Mueller T, Proud E, Hall E, Kurdi A, Robertson C, Bennie M, Woolford L, Sheikh A.
There is a clear need to increase uptake of COVID-19 treatment options in individuals who are at high risk of severe COVID-19 outcomes — particularly those who are younger than 18 years, are socioeconomically disadvantaged, have HIV and particular rheumatological conditions, or have suboptimal protection from vaccination.
Health information technology and digital innovation for national learning health and care systems
Sheikh A, Anderson M, Albala S, Casadei B, Dean Franklin B, Richards M, Taylor D, Tibble H, Mossialios E.
There is a need to develop regulatory frameworks for the development, management, and procurement of artificial intelligence and health information technology systems in the National Health Service.
Thanks to Jack Turner for the website template.