Stanley Jonathan, Hensley Mark, King Ronald, Baum Neil
Vanguard Communications, Denver, CO 80205, USA.
Hensley Biostats, Seattle, WA 98102, USA.
Healthcare (Basel). 2023 May 12;11(10):1411. doi: 10.3390/healthcare11101411.
Our prior research showed that patient experience-as reported by Google, Yelp, and the Hospital Consumer Assessment of Healthcare Providers and Systems survey-is associated with health outcomes. Upon learning that COVID-19 mortality rates differed among U.S. geographic areas, we sought to determine if COVID-19 outcomes were associated with patient experience. We reviewed daily, U.S.-county-level-accrued COVID-19 infections and deaths during the first year of the pandemic using each locality's mean online patient review rating, correcting for county-level demographic factors. We found doctor star ratings were significantly associated with COVID-19 outcomes. We estimated the absolute risk reduction (ARR) and relative risk reduction (RRR) for each outcome by comparing the real-world-observed outcomes, observed with the mean star rating, to the outcomes predicted by our model with a 0.3 unit higher average star rating. Geographic areas with higher patient satisfaction online review ratings in our models had substantially better COVID-19 outcomes. Our models predict that, had medical practices nationwide maintained a 4-star average online review rating-a 0.3-star increase above the current national average-the U.S may have experienced a nearly 11% lower COVID-19 infection rate and a nearly 17% lower death rate among those infected.
我们之前的研究表明,谷歌、Yelp以及医疗服务提供者与系统消费者评估调查所报告的患者体验与健康结果相关。在得知美国不同地理区域的新冠死亡率存在差异后,我们试图确定新冠疫情结果是否与患者体验相关。我们在疫情第一年使用每个地区的在线患者平均评价评分,对县级人口因素进行校正,回顾了美国县级每日新增的新冠感染和死亡情况。我们发现医生星级评分与新冠疫情结果显著相关。通过将实际观察到的结果(使用平均星级评分观察到的)与我们模型预测的结果(平均星级评分高0.3个单位)进行比较,我们估计了每个结果的绝对风险降低率(ARR)和相对风险降低率(RRR)。在我们的模型中,在线评价评分中患者满意度较高的地理区域,新冠疫情结果显著更好。我们的模型预测,如果全国的医疗机构将在线评价平均星级维持在4星(比当前全国平均水平高0.3星),美国的新冠感染率可能会降低近11%,感染者死亡率可能会降低近17%。