Leonard Charles E, Brensinger Colleen M, Nam Young Hee, Bilker Warren B, Barosso Geralyn M, Mangaali Margaret J, Hennessy Sean
Center for Pharmacoepidemiology Research and Training, Department of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine, University of Pennsylvania, 423 Guardian Drive, Philadelphia, PA, 19104-4865, USA.
Center for Clinical Epidemiology and Biostatistics, Department of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine, University of Pennsylvania, 423 Guardian Drive, Philadelphia, PA, 19104-4865, USA.
BMC Health Serv Res. 2017 Apr 26;17(1):304. doi: 10.1186/s12913-017-2247-7.
Administrative claims of United States Centers for Medicare and Medicaid Services (CMS) beneficiaries have long been used in non-experimental research. While CMS performs in-house checks of these claims, little is known of their quality for conducting pharmacoepidemiologic research. We performed exploratory analyses of the quality of Medicaid and Medicare data obtained from CMS and its contractors.
Our study population consisted of Medicaid beneficiaries (with and without dual coverage by Medicare) from California, Florida, New York, Ohio, and Pennsylvania. We obtained and compiled 1999-2011 data from these state Medicaid programs (constituting about 38% of nationwide Medicaid enrollment), together with corresponding national Medicare data for dually-enrolled beneficiaries. This descriptive study examined longitudinal patterns in: dispensed prescriptions by state, by quarter; and inpatient hospitalizations by federal benefit, state, and age group. We further examined discrepancies between demographic characteristics and disease states, in particular frequencies of pregnancy complications among men and women beyond childbearing age, and prostate cancers among women.
Dispensed prescriptions generally increased steadily and consistently over time, suggesting that these claims may be complete. A commercially-available National Drug Code lookup database was able to identify the dispensed drug for 95.2-99.4% of these claims. Because of co-coverage by Medicare, Medicaid data appeared to miss a substantial number of hospitalizations among beneficiaries ≥ 45 years of age. Pregnancy complication diagnoses were rare in males and in females ≥ 60 years of age, and prostate cancer diagnoses were rare in females.
CMS claims from five large states obtained directly from CMS and its contractors appeared to be of high quality. Researchers using Medicaid data to study hospital outcomes should obtain supplemental Medicare data on dual enrollees, even for non-elders.
Not applicable.
美国医疗保险和医疗补助服务中心(CMS)受益人的行政索赔数据长期以来一直用于非实验性研究。虽然CMS对这些索赔进行内部核查,但对于其在药物流行病学研究中的质量却知之甚少。我们对从CMS及其承包商处获得的医疗补助和医疗保险数据的质量进行了探索性分析。
我们的研究对象包括来自加利福尼亚州、佛罗里达州、纽约州、俄亥俄州和宾夕法尼亚州的医疗补助受益人(包括有和没有医疗保险双重覆盖的)。我们获取并整理了这些州医疗补助项目1999 - 2011年的数据(约占全国医疗补助参保人数的38%),以及针对双重参保受益人的相应国家医疗保险数据。这项描述性研究考察了以下方面的纵向模式:按州、按季度分发的处方;以及按联邦福利、州和年龄组划分的住院情况。我们还进一步研究了人口统计学特征与疾病状态之间的差异,特别是育龄期以外男性和女性的妊娠并发症发生率,以及女性的前列腺癌发生率。
分发的处方总体上随时间稳步且持续增加,这表明这些索赔数据可能是完整的。一个商业可用的国家药品代码查询数据库能够识别出这些索赔中95.2 - 99.4%的分发药物。由于医疗保险的共同覆盖,医疗补助数据似乎遗漏了大量45岁及以上受益人的住院情况。妊娠并发症诊断在男性和60岁及以上女性中很少见,前列腺癌诊断在女性中也很少见。
直接从CMS及其承包商处获得的五个大州的CMS索赔数据似乎质量很高。使用医疗补助数据研究医院结局的研究人员应获取双重参保者的补充医疗保险数据,即使是针对非老年人。
不适用。