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评估州级保险政策对衣原体筛查的影响:面板数据分析。

Assessing the impact of state insurance policies on chlamydia screening: A panel data analysis.

机构信息

Division of STD Prevention, Centers for Disease Control and Prevention, Atlanta, GA 30333, United States.

出版信息

Health Policy. 2010 Aug;96(3):231-8. doi: 10.1016/j.healthpol.2010.02.001. Epub 2010 Mar 6.

DOI:10.1016/j.healthpol.2010.02.001
PMID:20207440
Abstract

OBJECTIVES

In the late 1990s, three Southern states (Maryland (MD), Georgia (GA) and Tennessee (TN)) enacted laws that required health plans to reimburse for chlamydia screening for the populations at risk. We assessed the impact of the laws on chlamydia screening rates for Georgia (GA) and Tennessee (TN).

METHODS

We extracted monthly chlamydia screening rates on employer-sponsored privately insured women and used a panel regression analysis to conduct an intervention analysis that compared changes in screening rates in Georgia and Tennessee to ten southern states, based on the dates that the laws were enacted in the two states. Maryland was excluded due to non-specificity of the law and insufficient data.

RESULTS

Although there were substantial increases in screening rates in both GA and TN after the enactment of the laws, data from the other ten states showed similar increases over the same period. Thus, there was no significant difference in the increase in screening rates between Georgia and Tennessee and the other states.

CONCLUSION

Because this analysis was restricted to privately insured patients, additional studies are needed to assess the effectiveness (or the lack thereof) of the laws for other populations, such as those covered by Medicaid, within the individual states.

摘要

目的

20 世纪 90 年代末,三个南部州(马里兰州(MD)、佐治亚州(GA)和田纳西州(TN))颁布法律,要求健康计划为高危人群报销衣原体筛查费用。我们评估了这些法律对佐治亚州(GA)和田纳西州(TN)衣原体筛查率的影响。

方法

我们提取了雇主赞助的私人保险女性每月的衣原体筛查率,并使用面板回归分析进行干预分析,将佐治亚州和田纳西州的筛查率变化与 10 个南部州进行比较,这 10 个州是根据这两个州法律颁布的日期确定的。由于法律的非特异性和数据不足,马里兰州被排除在外。

结果

尽管在法律颁布后,GA 和 TN 的筛查率都有了大幅提高,但在同一时期,其他 10 个州的数据也显示出类似的增长。因此,GA 和 TN 的筛查率增加与其他州之间没有显著差异。

结论

由于这项分析仅限于私人保险患者,因此需要进行更多研究,以评估这些法律在各州内其他人群(如医疗补助覆盖人群)中的有效性(或缺乏有效性)。

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