Health Economics and Decision Science, School of Health and Related Research (ScHARR), University of Sheffield, UK (DR, JB, AT, TY)
Department of Economics, University of Sheffield, UK (AT)
Med Decis Making. 2012 Jan-Feb;32(1):31-40. doi: 10.1177/0272989X11408435. Epub 2011 Jun 17.
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.
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.
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).
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.
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.
在病例描述和特定疾病的测量中使用的许多健康描述都提到了医学疾病。本文评估了在一般人群成员评估的健康状态描述中提及医疗条件对健康状态价值的影响。
使用涉及时间权衡评估技术的面对面访谈进行了一项评估研究。所有受访者都对基本相同的健康状态进行了评估，但对于每个受访者，描述都有肠易激综合征（IBS）标签、癌症标签或没有标签。随机效应广义最小二乘法回归用于估计每个标签和疾病经历对健康状态价值的影响。
英国普通人群的样本中的 241 名成员每人评估了 8 个状态，共产生了 1910 个观察值（响应率=39%，所有状态的完成率=99%）。
作者发现当描述中没有标签或有 IBS 标签时，健康状态值之间没有显著差异。他们发现，在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程度，对于更严重的健康状态，价值显著降低（对于最差的状态可达-0.25），但对于轻度状态则没有显著差异。
疾病标签可能会影响健康状态值，但这取决于具体疾病和严重程度。作者建议在健康状态描述中避免使用疾病标签（在可能的情况下），以确保不受可能扭曲正在评估的健康状态的条件的先验知识或偏见的影响。
