Adjusting for comorbidity in incidence-based DALY calculations: an individual-based modeling approach

Scott A. McDonald*, Juanita A. Haagsma, Alessandro Cassini, Brecht Devleesschauwer

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

11 Citations (Scopus)
23 Downloads (Pure)

Abstract

Background: The co-occurrence of two or more medical conditions in the same individual is not uncommon. If disability-adjusted life year (DALY) calculations are carried out for each condition separately, multimorbidity may lead to an overestimation of the morbidity component, the Years Lived with Disability (YLD). Adjusting for comorbidity may be straightforward if all symptoms have same onset and duration; however, when the comorbid health states occur at different time points, an analytical solution to the comorbidity problem becomes more complex. The aim of this study was to develop an individual-based modelling (IBM) approach to adjust incidence-based disease burden estimation for multimorbidity that allows simulating hypothetical individuals and tracking their disease history, including possible comorbidities, over time. Methods: We demonstrated the IBM approach using an example of external comorbidity, i.e., colon cancer comorbid with healthcare-associated pneumonia (HAP) and by assuming an independent multiplicative model. First, each cumulative progression probabilities were converted to a daily transition probabilities. Second, disability weights for simultaneously experienced health states and duration in each health state were determined. Third, YLD, adjusted for comorbidity, was calculated at every time step. We simulated a cohort of 1000 colorectal cancer patients aged 65 years. Ninety-five percent uncertainty intervals around median YLD values were estimated by Monte Carlo methods. Results: The median estimated YLD per 1000 cases (due to both cancer and HAP) adjusted for co-morbidity was 545 YLD/1000 (95% interval: 513-585). The impact of not adjusting disability weights for co-existent health states varied from minimal to small; YLD for colorectal cancer would be overestimated only slightly-by 1.6 YLD/1000-by not adjusting for concurrent HAP. YLD for those HAP patients who have concurrent early-stage colorectal cancer would be overestimated by 2.3 YLD/1000. Conclusions: The computation of disease burden in the presence of multimorbidity using the incidence-based DALY approach can be handled through IBM. Our approach can be extended to other, more complicated multimorbidity scenarios which are responsible for a high current global disease burden, such as tuberculosis and HIV infection.

Original languageEnglish
Article number100
JournalBMC Medical Research Methodology
Volume20
Issue number1
Early online date6 May 2020
DOIs
Publication statusPublished - Dec 2020
Externally publishedYes

Keywords

  • Disability-adjusted life-years
  • Individual-based modelling
  • Multimorbidity
  • YLD

ASJC Scopus subject areas

  • Epidemiology
  • Health Informatics

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