Biomedical subjects

D C Helmer

Publications and source records attributed to D C Helmer.

3 recordsLinked to original sources

PubMed1995

Implementing corporate wellness programs: a business approach to program planning.

1. Support of key decision makers is critical to the successful implementation of a corporate wellness program. Therefore, the program implementation plan must be communicated in a format and language readily understood by business people. 2. A business approach to corporate wellness program planning provides a standardized way to communicate the implementation plan. 3. A business approach incorporates the program planning components in a format that ranges from general to specific. This approach allows for flexibility and responsiveness to changes in program planning. 4. Components of the business approach are the executive summary, purpose, background, ground rules, approach, requirements, scope of work, schedule, and financials.

Commerce↗

PubMed1991

Hostility and coronary artery disease.

Studies of the association between type A behavior and coronary heart disease have yielded inconsistent findings. A possible explanation for these inconsistent findings is that type A behavior is simply a marker for other behaviors that are truly related to coronary heart disease. Hostility is one such behavior that has been found in several recent studies to predict coronary heart disease and coronary atherosclerosis; however, several other studies have found null results. In the present study, the predictive power of hostility was tested in a study population of hospitalized men (n = 118) and women (n = 40) scheduled for coronary angiography. Potential coronary risk behaviors were assessed in the angiography patients and they were given the type A Structured Interview. Hostility was measured with the Cook-Medley Hostility Inventory and the Behavior Pattern Hostility Index, a measure of hostility derived from the type A Structured Interview. No significant positive associations were found for either Cook-Medley hostility or behavior pattern hostility and coronary occlusion. This was true whether hostility or coronary occlusion was treated as a dichotomous variable or as a continuous variable. In fact, most of the observed associations were opposite to the predicted direction, although none was statistically significant. Replicating cutpoints of the Cook-Medley Hostility Inventory used in other studies that have reported positive associations with coronary heart disease also yielded null findings. The association between hostility and coronary occlusion was slightly modified by age and sex, but the interaction coefficients were not significant. The sample size yielded adequate statistical power to detect the hypothesized associations, and there was no evidence that selection bias, measurement error, or unexamined confounding accounted for the null findings. These results failed to confirm some earlier reports showing a positive association between hostility and coronary artery disease.

Age Factors↗

PubMed1991

Patient selection factors in angiographic studies: a conceptual formulation and empirical test.

Studies using coronary angiography patients as the study population to assess etiologic relationships are vulnerable to bias produced by patient selection factors, but the direction and magnitude of the bias in any particular study are uncertain. Partly for this reason, some authors have questioned the use of angiography data for studies of etiology. Nevertheless, this type of data continues to be used in etiologic studies. Therefore, in this paper a conceptual framework is described to quantify the degree of bias under different assumptions about the process whereby patients are selected for angiography. The direction and degree of bias depend on the pattern of patient selection, as well as the measure of association used (e.g., the risk ratio or odds ratio). One method is then described, based on assessing how physicians refer patients to angiography, which estimates the degree of bias produced by selection factors. This study is limited to the situation of a two-level risk factor (e.g., type A/B behavior) in relation to a two-level outcome measure (e.g., significant coronary artery occlusion versus no significant coronary artery occlusion). While type A/B behavior is used as an example in this paper, the concepts apply to any behavioral or nonbehavioral predictor variable.

Bias↗