Ballard D J, Bryant S C, O'Brien P C, Smith D W, Pine M B, Cortese D A
Thomas Jefferson Health Policy Institute, Charlottesville, VA 22901.
Health Serv Res. 1994 Feb;28(6):771-84.
Although the Health Care Financing Administration (HCFA) uses Medicare hospital mortality data as a measure of hospital quality of care, concerns have been raised regarding the validity of this concept. A problem that has not been fully evaluated in these data is the potential confounding effect of illness severity factors associated with referral selection and hospital mortality on comparisons of risk-adjusted hospital mortality. We address this issue.
We analyzed the 1988 Medicare hospitalization data file (MEDPAR). We selected data on patients treated at the two Mayo Clinic-associated hospitals in Rochester, Minnesota, and a group of seven other hospitals that treat many patients from large geographic areas. These hospitals have had observed mortality rates substantially lower than those predicted by the HCFA model for the period 1987-1990.
Using the multiple logistic regression model applied by HCFA to the 1988 data, we evaluated the relationship between distance from patient residence to the admitting hospital and risk-adjusted hospital mortality.
Among patients admitted to Mayo Rochester-affiliated hospitals, residence outside Olmsted County, Minnesota was independently associated with a 33 percent lower 30-day mortality rate (p < .001) than that associated with residence in Olmsted County. When patients at Mayo hospitals were stratified by residence (Olmsted County versus non-Olmsted County), the observed mortality was similar to that predicted for community patients (9.6 percent versus 10.2 percent, p = .26), whereas hospital mortality for referral patients was substantially lower than predicted (5.0 percent versus 7.5 percent, p = < .001). After incorporation of the HCFA risk adjustment methods, distance from patient residence to the hospitals was also independently associated with mortality among the Mayo Rochester-affiliated hospitals and seven other referral center hospitals.
The HCFA Medicare hospital mortality model should be used with extreme caution to evaluate hospital quality of care for national referral centers because of residual confounding due to severity of illness factors associated with geographic referral that are inadequately captured in the extant prediction model.
尽管医疗保健财务管理局(HCFA)将医疗保险医院死亡率数据用作衡量医院医疗质量的指标,但人们对这一概念的有效性提出了担忧。在这些数据中尚未得到充分评估的一个问题是,与转诊选择和医院死亡率相关的疾病严重程度因素对风险调整后的医院死亡率比较可能产生的混杂效应。我们来探讨这个问题。
我们分析了1988年医疗保险住院数据文件(MEDPAR)。我们选取了明尼苏达州罗切斯特市与梅奥诊所相关的两家医院以及另外七家治疗来自广大地理区域众多患者的医院的患者数据。在1987 - 1990年期间,这些医院的实际死亡率显著低于HCFA模型预测的死亡率。
使用HCFA应用于1988年数据的多元逻辑回归模型,我们评估了患者居住地到收治医院的距离与风险调整后的医院死亡率之间的关系。
在入住罗切斯特梅奥附属医院的患者中,明尼苏达州奥尔姆斯特德县以外的居住地与30天死亡率比奥尔姆斯特德县居民低33%独立相关(p <.001)。当梅奥医院的患者按居住地分层(奥尔姆斯特德县与非奥尔姆斯特德县)时,观察到的死亡率与社区患者预测的死亡率相似(9.6%对10.2%,p =.26),而转诊患者的医院死亡率则显著低于预测值(5.0%对7.5%,p =<.001)。纳入HCFA风险调整方法后,患者居住地到梅奥罗切斯特附属医院和其他七家转诊中心医院的距离也与死亡率独立相关。
由于现有预测模型未能充分捕捉与地理转诊相关的疾病严重程度因素导致的残余混杂,在评估全国转诊中心的医院医疗质量时,应极其谨慎地使用HCFA医疗保险医院死亡率模型。