Department of Health Sciences, Faculty of Science, Vrije Universiteit Amsterdam, De Boelelaan 1085, 1081 HV, Amsterdam, The Netherlands.
KPMG, Laan van Langerhuize 1, 1186 DS, Amstelveen, The Netherlands.
BMC Health Serv Res. 2022 Sep 8;22(1):1136. doi: 10.1186/s12913-022-08403-6.
In patient choice, patients are expected to select the provider that best fits their preferences. In this study, we assess to what extent the hospital choice of patients in practice corresponds with their preferred choice.
Dutch patients with breast cancer (n = 631) and cataract (n = 1109) were recruited. We employed a discrete choice experiment (DCE) per condition to measure stated preferences and predict the distribution of patients across four hospitals. Each DCE included five attributes: patient experiences, a clinical outcome indicator, waiting time, travel distance and whether the hospital had been recommended (e.g., by the General Practitioner (GP)). Revealed choices were derived from claims data.
Hospital quality was valued as most important in the DCE; the largest marginal rates of substitution (willingness to wait) were observed for the clinical outcome indicator (breast cancer: 38.6 days (95% confidence interval (95%CI): 32.9-44.2); cataract: 210.5 days (95%CI: 140.8-280.2)). In practice, it was of lesser importance. In revealed choices, travel distance became the most important attribute; it accounted for 85.5% (breast cancer) and 95.5% (cataract) of the log-likelihood. The predicted distribution of patients differed from that observed in practice in terms of absolute value and, for breast cancer, also in relative order. Similar results were observed in population weighted analyses.
Study findings show that patients highly valued quality information in the choice for a hospital. However, in practice these preferences did not prevail. Our findings suggest that GPs played a major role and that patients mostly ended up selecting the nearest hospital.
在患者选择中,患者期望选择最符合其偏好的提供者。在这项研究中,我们评估了患者在实践中的选择与他们的首选选择在多大程度上相符。
招募了荷兰患有乳腺癌(n=631)和白内障(n=1109)的患者。我们在每种情况下使用离散选择实验(DCE)来衡量既定偏好,并预测患者在四家医院之间的分布情况。每个 DCE 都包含五个属性:患者体验、临床结果指标、等待时间、旅行距离以及医院是否被推荐(例如,由全科医生(GP)推荐)。揭示的选择是从索赔数据中得出的。
医院质量在 DCE 中被认为是最重要的;观察到的最大边际替代率(等待的意愿)是临床结果指标(乳腺癌:38.6 天(95%置信区间(95%CI):32.9-44.2);白内障:210.5 天(95%CI:140.8-280.2))。在实践中,它的重要性较小。在揭示的选择中,旅行距离成为最重要的属性;它占乳腺癌的 85.5%(乳腺癌)和 95.5%(白内障)的对数似然。患者的预测分布与实践中的观察值在绝对值上有所不同,并且在乳腺癌方面,相对顺序也有所不同。在加权人群分析中也观察到了类似的结果。
研究结果表明,患者在选择医院时高度重视质量信息。然而,在实践中,这些偏好并没有占主导地位。我们的研究结果表明,全科医生发挥了重要作用,而且患者大多选择了最近的医院。