Department of Health Care Policy, Harvard Medical School, 180 Longwood Avenue, Boston, MA 02115, USA.
Health Serv Res. 2011 Aug;46(4):1022-38. doi: 10.1111/j.1475-6773.2011.01244.x. Epub 2011 Feb 9.
To determine whether the change in prescription drug insurance coverage associated with Medicare Part D reduced hospitalization rates for conditions sensitive to drug adherence.
DATA SOURCES/STUDY SETTING: Hospital discharge data from 2005 to 2007 for 23 states, linked with state-level data on drug coverage.
We use a difference-in-difference-in-differences approach, comparing changes in the probability of hospitalization before and after the introduction of the Part D benefit in 2006, for individuals aged 65 and older (versus individuals aged 60-64) in states with low drug coverage in 2005 (versus those in states with high pre-Part D drug coverage).
DATA COLLECTION/EXTRACTION METHODS: Hospitalization rates for selected ambulatory care sensitive conditions in 23 states were computed using data from the Census and Health Care Utilization Project. Drug coverage rates were computed using data from several sources.
For the conditions studied, our point estimates suggest that Part D reduced the overall rate of hospitalization by 20.5 per 10,000 (4.1 percent), representing approximately 42,000 admissions, about half of the reduction in admissions over our study period. Conclusions. The increase in drug coverage associated with Medicare Part D had positive effects on the health of elderly Americans, which reduced use of nondrug health care resources.
确定与医疗保险处方药部分(Medicare Part D)相关的处方药保险覆盖范围的变化是否降低了对药物依从性敏感的疾病的住院率。
数据来源/研究范围:来自 2005 年至 2007 年的 23 个州的住院数据,与药物覆盖范围的州级数据相关联。
我们使用三重差分法(difference-in-difference-in-differences approach),比较了 2006 年部分 D 福利推出前后,23 个州中药物覆盖范围较低的 65 岁及以上人群(与 60-64 岁人群相比)和药物覆盖范围较高的人群(与 60-64 岁人群相比)的住院率变化。
数据收集/提取方法:使用来自人口普查和医疗保健利用项目的数据,计算了 23 个州中选定的门诊保健敏感疾病的住院率。使用来自多个来源的数据计算药物覆盖率。
对于所研究的疾病,我们的点估计表明,Part D 降低了整体住院率 20.5 例/每 10000 人(4.1%),这代表了大约 42000 例住院,约占我们研究期间住院人数减少的一半。结论:与医疗保险处方药部分相关的药物覆盖范围的增加对美国老年人的健康产生了积极影响,减少了对非药物医疗资源的使用。