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Table 3 Steps in redistribution of heart failure (HF)

From: Improving the public health utility of global cardiovascular mortality data: the rise of ischemic heart disease

  Details of step Assumptions of step
Step 1 define pathophysiologically plausible target list at ICD level (these targets will ultimately receive redistributed HF deaths) that only pathophysiologically plausible deaths are miscoded as HF
Step 2 group ICD-level causes into target groups of related causes1  
Step 3 choose representative mortality dataset (can be multinational or national depending on the population being examined) that deaths coded to heart failure targets were correctly assigned
Step 4 use regression (%TG = α + β[%HF] + ε) to define redistribution proportions for each cause, by age-sex-development group2 that deaths miscoded as heart failure are miscoded at rates disproportionate to the relative prevalence of the underlying causes of heart failure
Step 5 redistribute deaths from HF to each target group by age-sex-development group within target mortality dataset  
Step 6 redistribute deaths from target group level to ICD cause level using proportionate redistribution3 within target mortality dataset  
Step 7 use revised mortality dataset to calculate desired outcome measure [age-adjusted death rates, rank causes of death, etc.] that there is no need to correct primary mortality dataset for completeness4
  1. 1table 1 shows the groups defined in this paper
  2. 2details of regression found in methods section and in additional file 2
  3. 3in proportionate redistribution, redistributions proportions are defined by the relative prevalence of the cause within the target group
  4. 4see discussion for an explanation of this assumption