Harris Katherine M
RAND, Arlington, VA 22202-5050, USA.
Health Serv Res. 2002 Jun;37(3):551-71. doi: 10.1111/1475-6773.00037.
To investigate the impact of quality information on the willingness of consumers to enroll in health plans that restrict provider access.
A survey administered to respondents between the ages of 25 and 64 in the West Los Angeles area with private health insurance.
An experimental approach is used to measure the effect of variation in provider network features and information about the quality of network physicians on hypothetical plan choices. Conditional logit models are used to analyze the experimental choice data. Next, choice model parameter estimates are used to simulate the impact of changes in plan features on the market shares of competing health plans and to calculate the quality level required to make consumers indifferent to changes in provider access.
The presence of quality information reduced the importance of provider network features in plan choices as hypothesized. However, there were not statistically meaningful differences by type of quality measure (i.e., consumer assessed versus expert assessed). The results imply that large quality differences are required to make consumers indifferent to changes in provider access. The impact of quality on plan choices depended more on the particular measure and less on the type of measure. Quality ratings based on the proportion of survey respondents "extremely satisfied with results of care" had the greatest impact on plan choice while the proportion of network doctors "affiliated with university medical centers" had the least. Other consumer and expert assessed measures had more comparable effects.
Overall the results provide empirical evidence that consumers are willing to trade high quality for restrictions on provider access. This willingness to trade implies that relatively small plans that place restrictions on provider access can successfully compete against less restrictive plans when they can demonstrate high quality. However, the results of this study suggest that in many cases, the level of quality required for consumers to accept access restrictions may be so high as to be unattainable. The results provide empirical support for the current focus of decision support efforts on consumer assessed quality measures. At the same time, however, the results suggest that consumers would also value quality measures based on expert assessments. This finding is relevant given the lack of comparative quality information based on expert judgment and research suggesting that consumers have apprehensions about their ability to meaningfully interpret performance-based quality measures.
研究质量信息对消费者参与限制医疗服务提供者选择范围的健康计划意愿的影响。
对洛杉矶西区年龄在25至64岁且拥有私人医疗保险的受访者进行的一项调查。
采用实验方法来衡量医疗服务提供者网络特征的变化以及有关网络医生质量的信息对假设性计划选择的影响。使用条件logit模型分析实验选择数据。接下来,选择模型参数估计用于模拟计划特征变化对竞争性健康计划市场份额的影响,并计算出使消费者对医疗服务提供者选择范围的变化无差异的质量水平。
正如假设的那样,质量信息的存在降低了医疗服务提供者网络特征在计划选择中的重要性。然而,按质量衡量类型(即消费者评估与专家评估)并无统计学上的显著差异。结果表明,需要有很大的质量差异才能使消费者对医疗服务提供者选择范围的变化无差异。质量对计划选择的影响更多地取决于具体的衡量标准,而较少取决于衡量类型。基于“对护理结果极其满意”的受访者比例的质量评级对计划选择的影响最大,而“隶属于大学医疗中心”的网络医生比例的影响最小。其他消费者和专家评估的衡量标准的影响更为相近。
总体而言,结果提供了实证证据,表明消费者愿意用高质量来换取对医疗服务提供者选择范围的限制。这种交易意愿意味着,对医疗服务提供者选择范围有限制的相对小型计划,在能够证明高质量时,可以成功地与限制较少的计划竞争。然而,本研究结果表明,在许多情况下,消费者接受选择范围限制所需的质量水平可能高到无法实现。这些结果为当前决策支持工作对消费者评估的质量衡量标准的关注提供了实证支持。然而,与此同时,结果表明消费者也会重视基于专家评估的质量衡量标准。鉴于缺乏基于专家判断的比较质量信息,且研究表明消费者对自己有意义地解释基于绩效的质量衡量标准的能力有所担忧,这一发现具有相关性。