Mortality Risk Prediction by an Insurance Company and Long-Term Follow-Up of 62,000 Men

Background: Insurance companies use medical information to classify the mortality risk of applicants. Adding genetic tests to this assessment is currently being debated. This debate would be more meaningful, if results of present-day risk prediction were known. Therefore, we compared the predicted with the observed mortality of men who applied for life insurance, and determined the prognostic value of the risk assessment. Methods: Long-term follow-up was available for 62,334 male applicants whose mortality risk was predicted with medical evaluation and they were assigned to five groups with increasing risk from 1 to 5. We calculated all cause standardized mortality ratios relative to the Dutch population and compared groups with Cox's regression. We compared the discriminative ability of risk assessments as indicated by a concordance index (c). Results: In 844,815 person years we observed 3,433 deaths. The standardized mortality relative to the Dutch male population was 0.76 (95 percent confidence interval, 0.73 to 0.78). The standardized mortality ratios ranged from 0.54 in risk group 1 to 2.37 in group 5. A large number of risk factors and diseases were significantly associated with increased mortality. The algorithm of prediction was significantly, but only slightly better than summation of the number of disorders and risk factors (c-index, 0.64 versus 0.60, P,0.001). Conclusions: Men applying for insurance clearly had better survival relative to the general population. Readily available medical evaluation enabled accurate prediction of the mortality risk of large groups, but the deceased men could not have been identified with the applied prediction method

The Impact of Error-Management Climate, Error Type and Error Originator on Auditors’ Reporting Errors Discovered on Audit Work Papers

We examine factors affecting the auditor’s willingness to report their own or their peers’ self-discovered errors in working papers subsequent to detailed working paper review. Prior research has shown that errors in working papers are detected in the review process; however, such detection rates only rarely exceed 50% of the seeded errors. Hence, measures that encourage auditors to be alert to their own (or their peers’) potential errors any time they revisit the audit working papers may be valuable in detecting such residual errors and potentially correcting them before damage occurs to the audit firm or its client. We hypothesize that three factors affect the auditor’s willingness to report post detailed review discovered errors: the local office error-management climate (open versus blame), the type of error (mechanical versus conceptual) and who committed the error (the individual who committed the error (self) or a peer). Local office error-management climate is said to be open and supportive where errors and mistakes are accepted as part of everyday life as long as they are learned from and not repeated. In alternative, a blame error-management climate focuses on a “get it right the first time” culture where mistakes are not tolerated and blame gets attached to those admitting to or found committing such errors. We find that error-management climate has a significant overall effect on auditor willingness to report errors, as does who committed the error originally. We find both predicted and unpredicted significant interactions among the three factors that qualify these observed significant main effects. We discuss implications for audit practice and further research

COLOR CODED TISSUE CHARACTERIZATION BY 40 MHZ INTRAVASCULAR ULTRASOUND RELIABLY IDENTIFIES PLAQUE COMPOSITION COMPARISON WITH 64 SLICE COMPUTED TOMOGRAPHY

In The Netherlands, cascade screening to identify patients with familial hypercholesterolaemia (FH) has been introduced in 1994; a nationwide screening programme is currently ongoing to detect all - approximately 40 000 - carriers by molecular screening. Active identification by DNA testing has social implications such as difficulties in obtaining life and disability insurance. In The Netherlands, insurance companies are restricted in the use of genetic information of their clients by the Medical Examination Act (1998). Within the scope of this specific law, the Foundation for the Identification of Persons with Inherited Hypercholesterolaemia, the patient support association, representatives of the medical profession as well as insurers designed guidelines for risk assessment of mortality and morbidity of FH carriers. Risk assessment should be based on phenotype, that is, lipoprotein profile and the presence of classical cardiovascular risk, instead of the LDL receptor gene mutation. Applicants with FH should be accepted at normal rates if LDL-c levels are <4.0 mmol/l, in the absence of additional risk factors. After implementation of these guidelines, the number of complaints about insurance contracts has decreased markedl

Mortality in a large male cohort compared to the Dutch population according to <i>a priori</i> risk classification.

<p>Mortality in a large male cohort compared to the Dutch population according to <i>a priori</i> risk classification.</p

The most frequent findings in a Dutch male cohort and the association with mortality within this cohort.

<p>Cox's regression analysis was performed with adjustment for year of birth and age at medical evaluation.</p><p>CABG denotes coronary artery by-pass grafting; CI denotes confidence interval; other cardiovascular disorders were atrial fibrillation, heart failure, peripheral vascular disease, cardiomyopathy, subarachnoid hemorraghe, cerebrovascular accident, valve disease, and congenital disorder.</p>*<p>measurement of blood pressure performed by the general practitioner or the medical officer during a single office visit.</p>†<p>hypertension was diagnosed by general practitioner or specialist and treatment with antihypertensive medication was started.</p