Administrative Data Sets and Health Services Research on Hemoglobinopathies A Review of the Literature

被引:46
作者
Grosse, Scott D. [1 ]
Boulet, Sheree L. [1 ]
Amendah, Djesika D. [1 ]
Oyeku, Suzette O. [2 ,3 ]
机构
[1] CDC, Natl Ctr Birth Defects & Dev Disabil, Atlanta, GA 30333 USA
[2] Childrens Hosp Montefiore, Div Gen Pediat, Bronx, NY USA
[3] Yeshiva Univ, Albert Einstein Coll Med, Bronx, NY USA
关键词
SICKLE-CELL-DISEASE; PUBLICLY INSURED CHILDREN; CARE UTILIZATION; VASOOCCLUSIVE CRISES; RISK-FACTORS; COSTS; EXPENDITURES; PREGNANCY; MEDICAID; STROKE;
D O I
10.1016/j.amepre.2009.12.015
中图分类号
R1 [预防医学、卫生学];
学科分类号
1004 ; 120402 ;
摘要
Context: Large administrative healthcare data sets are an Important source of data for health services research on sickle cell disease (SCD) and thalassemia. This paper identifies and describes major U.S. healthcare administrative databases and their use in published health services research on hemoglobinopathies Evidence acquisition: Publications that used U S administrative healthcare data sets to assess healthcare use or expenditures were identified through Pub Med searches using key words for SCD and either costs, expenditures, or hospital discharges; no additional articles were identified by using thalassemia as a key word. Additional articles were identified through manual searches of related articles or reference lists. Evidence synthesis: A total of 26 original health services research articles were identified. The types of administrative data used for health services research on hemoglobinopathies Included federal- and state-specific hospital discharge data sets and public and private health insurance claims databases Gaps in recent health services research on hemoglobin disorders included a paucity of research related to thalassemia, few studies of adults with hemoglobinopathies, and few studies focusing on emergency department or outpatient clinic use. Conclusions: Administrative data sets provide a unique means to study healthcare use among people with SCD or thalassemia because of the ability to examine large sample sizes at fairly low cost, resulting in greater generalizability than is the case with clinic-based data. Limitations of administrative data in general include potential misclassification, under-reporting, and lack of sociodemographic information. (Am J Prey Med 2010,38(4S) S557-S567) Published by Elsevier Inc. on behalf of American Journal of Preventive Medicine
引用
收藏
页码:S557 / S567
页数:11
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