首页> 外文期刊>Medical decision making: An international journal of the Society for Medical Decision Making >A single mathematical model predicts physicians' recommendations and postmenopausal women's decisions to participate in a clinical trial to prevent breast cancer or coronary heart disease.
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A single mathematical model predicts physicians' recommendations and postmenopausal women's decisions to participate in a clinical trial to prevent breast cancer or coronary heart disease.

机译:一个单一的数学模型可以预测医师的建议以及绝经后妇女参与预防乳腺癌或冠心病临床试验的决定。

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Few eligible postmenopausal women participate in clinical trial research to prevent breast cancer or coronary heart disease, making it impossible to adequately assess the efficacy of tested interventions for this vulnerable group. To elucidate the causal factors and decision model underlying participation behavior, 180 white, African American, and Hispanic postmenopausal women judged their likelihood of participation in a breast cancer or coronary heart disease prevention clinical trial in scenarios with varied cost/remuneration, perceived risk, doctor's recommendation, and expected toxicity. In addition, 293 white, African American, and Hispanic male and female physicians judged the strength of their participation recommendation in scenarios with varied cost/remuneration, expected toxicity, patient's age, and the source of the information about the clinical trial. An additive and constant-weight-averaging model were rejected. The same configural-weight-range model accounted for judgments in both breast cancer and coronary heart disease scenarios, with different parameter values for each group. According to this model, white and Hispanic women under 70 years of age are most likely to participate, even under somewhat adverse conditions; costs and high toxicity levels act as severe barriers to physicians' positive recommendations and women's participation. Perceived risk was the most important factor for women, yet only 8% and 15% reported ever having received risk information from their doctor for breast cancer and coronary heart disease, respectively. For these two diseases, respectively, 75% and 48% of women rated their risk of the disease as low and 76% and 88% reported they had never heard of a randomized clinical trial or of a prevention clinical trial being conducted. These results have implications for education, information dissemination, and prevention clinical-trial planners.
机译:很少有合格的绝经后妇女参加临床试验研究以预防乳腺癌或冠心病,因此不可能对该弱势群体充分评估经测试的干预措施的功效。为了阐明参与行为背后的因果关系和决策模型,在成本/薪酬,风险,医生,医疗费用不同的情况下,有180名白人,非洲裔美国人和西班牙裔绝经后妇女对参与乳腺癌或冠心病预防临床试验的可能性进行了判断。建议和预期毒性。此外,在费用/报酬,预期毒性,患者年龄以及有关临床试验信息来源不同的情况下,有293位白人,非洲裔美国人和西班牙裔男性和女性医师对他们的参与推荐强度进行了判断。累加和恒重平均模型被拒绝。相同的配置权重范围模型可解释乳腺癌和冠心病情况下的判断,每组的参数值不同。根据这种模式,即使在一定的不利条件下,70岁以下的白人和西班牙裔妇女也很可能参加。成本和高毒性水平严重阻碍了医生的积极建议和妇女的参与。知觉风险是女性最重要的因素,但据报道,分别只有8%和15%的女性曾从医生那里获得过乳腺癌和冠心病的风险信息。对于这两种疾病,分别有75%和48%的妇女将其患病的风险定为低,而有76%和88%的妇女表示从未听说过随机临床试验或正在进行的预防性临床试验。这些结果对教育,信息传播和预防性临床试验计划者具有影响。

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