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It's all in the name, or is it? the impact of labeling on health state values

机译:都是名字,或者是吗?标签对健康状态值的影响

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Background. Many descriptions of health used in vignettes and condition-specific measures name the medical condition. This article assesses the impact of referring to the medical condition in the descriptions of health states valued by members of the general population. Methods. A valuation study was conducted using face-to-face interviews involving the time trade-off valuation technique. All respondents valued essentially the same health states, but for each respondent, the descriptions featured an irritable bowel syndrome (IBS) label, a cancer label, or no label. Random effects generalized least squares regressions were used to estimate the impact of each label and experience of the condition on health state values. Data. A sample of 241 members of the UK general population each valued 8 states, generating 1910 observations (response rate = 39%, completion rate = 99% for all states). Results. The authors find no significant difference between health state values when the description contains no label or an IBS label. They find that the inclusion of a cancer label in health state descriptions affects health state values and that the impact is dependent on the severity of the state, with a significant reduction in values for more severe health states (up to -0.25 for the worst possible state) but no significant difference for mild states. Conclusions. A condition label can affect health state values, but this is dependent on the specific condition and severity. The authors recommend avoiding condition labels in health state descriptions (where possible) to ensure that values are not affected by prior knowledge or preconception of the condition that may distort the health state being valued.
机译:背景。小插曲中使用的许多健康描述和针对具体病情的措施都将其称为疾病。本文评估了在普通人群重视的健康状况描述中提及医疗状况的影响。方法。使用涉及时间权衡评估技术的面对面访谈进行了评估研究。所有受访者对健康状况的评价基本相同,但对于每个受访者,描述都带有肠易激综合症(IBS)标签,癌症标签或没有标签。随机效应广义最小二乘回归法用于估计每个标签的影响以及该状况对健康状态值的影响。数据。对241个英国普通人群的样本进行了抽样,每个样本对8个州进行了评估,产生了1910个观测值(所有州的回应率= 39%,完成率= 99%)。结果。当描述不包含标签或IBS标签时,作者发现健康状态值之间没有显着差异。他们发现健康状态描述中包含癌症标签会影响健康状态值,并且影响取决于状态的严重性,严重程度较高的健康状态值会显着降低(在最坏的情况下可达-0.25)状态),但对于轻度状态则没有显着差异。结论条件标签会影响健康状态值,但这取决于特定的条件和严重性。作者建议避免在健康状态描述中使用条件标签,以确保值不受可能会扭曲所评估健康状态的条件的先验知识或先入之见的影响。

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