ArticleBMC public health2022
Accuracy of death certifications of diabetes, dementia and cancer in Australia: a population-based cohort study.
Article in BMC public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed, 25 citations in OpenAlex.
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- Estimating potential palliative care needs for residential aged care: A population-based retrospective cohort study.Australasian journal on ageing · 2024Article
- Predicting Recurrence-Free and Overall Survival for Patients With Stage II Melanoma: The MIA Calculator.Journal of clinical oncology : official journal of the American Society of Clinical Oncology · 2024Article
- What care do people with dementia receive at the end of life? Lessons from a retrospective clinical audit of deaths in hospital and other settings.BMC geriatrics · 2024Article
- Clustering of the causes of death in Northeast Iran: a mixed growth modeling.BMC public health · 2023Article
- A new data driven method for summarising multiple cause of death data.BMC medical research methodology · 2023Article
- Understanding the impact of lockdowns on short-term excess mortality in Australia.BMJ global health · 2022Review
- Frailty at death: An examination of multiple causes of death in four low mortality countries in 2017.Demographic researchArticle
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5 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundNational mortality statistics are only based on the underlying cause of death, which may considerably underestimate the effects of some chronic conditions.
methodsThe sensitivity, specificity, and positive and negative predictive values for diabetes (a common precursor to multimorbidity), dementia (a potential accelerant of death) and cancer (expected to be well-recorded) were calculated from death certificates for 9 056 women from the 1921-26 cohort of the Australian Longitudinal Study on Women's Health. Log binomial regression models were fitted to examine factors associated with the sensitivity of death certificates with these conditions as underlying or contributing causes of death.
resultsAmong women who had a record of each of these conditions in their lifetime, the sensitivity was 12.3% (95% confidence interval, 11.0%, 13.7%), 25.2% (23.7%, 26.7%) and 57.7% (55.9%, 59.5%) for diabetes, dementia and cancer, respectively, as the underlying cause of death, and 40.9% (38.8%, 42.9%), 52.3% (50.6%, 54.0%) and 67.1% (65.4%, 68.7%), respectively, if contributing causes of death were also taken into account. In all cases specificity (> 97%) and positive predictive value (> 91%) were high, and negative predictive value ranged from 69.6% to 84.6%. Sensitivity varied with age (in different directions for different conditions) but not consistently with the other sociodemographic factors.
conclusionsDeath rates associated with common conditions that occur in multimorbidity clusters in the elderly are underestimated in national mortality statistics, but would be improved if the multiple causes of death listed on a death certificate were taken into account in the statistics.
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