Abstract :
PURPOSE: Secondary diagnoses in Medicare hospital discharge claims may include risk factors for the principal diagnosis. However, risk ratios for the principal diagnosis as a function of secondary diagnoses cannot be calculated because no comparable data exist for beneficiaries who are not hospitalized.
METHODS: Hospital discharge rates, as proxies for incidence rates, can be calculated by race and sex from Medicare claims and denominator files. If the prevalence of a risk factor is higher in one population group than another, that risk factor will be overrepresented among patients from the group at higher risk.
RESULTS: This imbalance is reflected in what is termed the odds difference, OD = [(r + r′)/r][f2/(1− f2)−f1/(1−f1)], in which r is the background incidence rate, and r′ is the additional risk conferred by a factor that is present in fractions f1 and f2 in the two groups. Unlike the risk ratio, the odds difference can be calculated from claims data. Given f1 and f2, the odds difference is directly proportional to the risk ratio, RR = (r + r′)/r.
CONCLUSIONS: Ranking common secondary diagnoses by the magnitude of their odds difference between groups with disparate discharge rates for a given principal diagnosis may disclose secondary diagnoses that merit evaluation as candidate direct or indirect risk factors.
