Assessing the external validity of model-based estimates of the incidence of heart attack in England: a modelling study
Abstract Background The DisMod II model is designed to estimate epidemiological parameters on diseases where measured data are incomplete and has been used to provide estimates of disease incidence for the Global Burden of Disease study. We assessed the external validity of the DisMod II model by co...
Main Authors: | , , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
BMC
2016-11-01
|
Series: | BMC Public Health |
Subjects: | |
Online Access: | http://link.springer.com/article/10.1186/s12889-016-3782-6 |
id |
doaj-274ecc83676b405dbc2205cc2bec927a |
---|---|
record_format |
Article |
spelling |
doaj-274ecc83676b405dbc2205cc2bec927a2020-11-24T21:10:47ZengBMCBMC Public Health1471-24582016-11-011611810.1186/s12889-016-3782-6Assessing the external validity of model-based estimates of the incidence of heart attack in England: a modelling studyPeter Scarborough0Kate Smolina1Anja Mizdrak2Linda Cobiac3Adam Briggs4British Heart Foundation Centre for Population Approaches to Non-Communicable Disease Prevention, Nuffield Department of Population Health, University of OxfordBritish Columbia Centre for Disease ControlBritish Heart Foundation Centre for Population Approaches to Non-Communicable Disease Prevention, Nuffield Department of Population Health, University of OxfordBurden of Disease Epidemiology, Equity and Cost Effectiveness (BODE3) Programme, University of OtagoBritish Heart Foundation Centre for Population Approaches to Non-Communicable Disease Prevention, Nuffield Department of Population Health, University of OxfordAbstract Background The DisMod II model is designed to estimate epidemiological parameters on diseases where measured data are incomplete and has been used to provide estimates of disease incidence for the Global Burden of Disease study. We assessed the external validity of the DisMod II model by comparing modelled estimates of the incidence of first acute myocardial infarction (AMI) in England in 2010 with estimates derived from a linked dataset of hospital records and death certificates. Methods Inputs for DisMod II were prevalence rates of ever having had an AMI taken from a population health survey, total mortality rates and AMI mortality rates taken from death certificates. By definition, remission rates were zero. We estimated first AMI incidence in an external dataset from England in 2010 using a linked dataset including all hospital admissions and death certificates since 1998. 95 % confidence intervals were derived around estimates from the external dataset and DisMod II estimates based on sampling variance and reported uncertainty in prevalence estimates respectively. Results Estimates of the incidence rate for the whole population were higher in the DisMod II results than the external dataset (+54 % for men and +26 % for women). Age-specific results showed that the DisMod II results over-estimated incidence for all but the oldest age groups. Confidence intervals for the DisMod II and external dataset estimates did not overlap for most age groups. Conclusion By comparison with AMI incidence rates in England, DisMod II did not achieve external validity for age-specific incidence rates, but did provide global estimates of incidence that are of similar magnitude to measured estimates. The model should be used with caution when estimating age-specific incidence rates.http://link.springer.com/article/10.1186/s12889-016-3782-6Myocardial infarctionIncidenceValidityModellingDisMod |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Peter Scarborough Kate Smolina Anja Mizdrak Linda Cobiac Adam Briggs |
spellingShingle |
Peter Scarborough Kate Smolina Anja Mizdrak Linda Cobiac Adam Briggs Assessing the external validity of model-based estimates of the incidence of heart attack in England: a modelling study BMC Public Health Myocardial infarction Incidence Validity Modelling DisMod |
author_facet |
Peter Scarborough Kate Smolina Anja Mizdrak Linda Cobiac Adam Briggs |
author_sort |
Peter Scarborough |
title |
Assessing the external validity of model-based estimates of the incidence of heart attack in England: a modelling study |
title_short |
Assessing the external validity of model-based estimates of the incidence of heart attack in England: a modelling study |
title_full |
Assessing the external validity of model-based estimates of the incidence of heart attack in England: a modelling study |
title_fullStr |
Assessing the external validity of model-based estimates of the incidence of heart attack in England: a modelling study |
title_full_unstemmed |
Assessing the external validity of model-based estimates of the incidence of heart attack in England: a modelling study |
title_sort |
assessing the external validity of model-based estimates of the incidence of heart attack in england: a modelling study |
publisher |
BMC |
series |
BMC Public Health |
issn |
1471-2458 |
publishDate |
2016-11-01 |
description |
Abstract Background The DisMod II model is designed to estimate epidemiological parameters on diseases where measured data are incomplete and has been used to provide estimates of disease incidence for the Global Burden of Disease study. We assessed the external validity of the DisMod II model by comparing modelled estimates of the incidence of first acute myocardial infarction (AMI) in England in 2010 with estimates derived from a linked dataset of hospital records and death certificates. Methods Inputs for DisMod II were prevalence rates of ever having had an AMI taken from a population health survey, total mortality rates and AMI mortality rates taken from death certificates. By definition, remission rates were zero. We estimated first AMI incidence in an external dataset from England in 2010 using a linked dataset including all hospital admissions and death certificates since 1998. 95 % confidence intervals were derived around estimates from the external dataset and DisMod II estimates based on sampling variance and reported uncertainty in prevalence estimates respectively. Results Estimates of the incidence rate for the whole population were higher in the DisMod II results than the external dataset (+54 % for men and +26 % for women). Age-specific results showed that the DisMod II results over-estimated incidence for all but the oldest age groups. Confidence intervals for the DisMod II and external dataset estimates did not overlap for most age groups. Conclusion By comparison with AMI incidence rates in England, DisMod II did not achieve external validity for age-specific incidence rates, but did provide global estimates of incidence that are of similar magnitude to measured estimates. The model should be used with caution when estimating age-specific incidence rates. |
topic |
Myocardial infarction Incidence Validity Modelling DisMod |
url |
http://link.springer.com/article/10.1186/s12889-016-3782-6 |
work_keys_str_mv |
AT peterscarborough assessingtheexternalvalidityofmodelbasedestimatesoftheincidenceofheartattackinenglandamodellingstudy AT katesmolina assessingtheexternalvalidityofmodelbasedestimatesoftheincidenceofheartattackinenglandamodellingstudy AT anjamizdrak assessingtheexternalvalidityofmodelbasedestimatesoftheincidenceofheartattackinenglandamodellingstudy AT lindacobiac assessingtheexternalvalidityofmodelbasedestimatesoftheincidenceofheartattackinenglandamodellingstudy AT adambriggs assessingtheexternalvalidityofmodelbasedestimatesoftheincidenceofheartattackinenglandamodellingstudy |
_version_ |
1716755235211313152 |