Inventory of Data Sources for Estimating Health Care Costs in the United States

Dados Bibliográficos

ID9099005
AutoresJennifer L Lund (0000-0002-1108-0689, National Cancer Institute, autor correspondente), K Robin Yabroff (0000-0003-0644-5572, National Cancer Institute, autor correspondente), Yoko Ibuka (0000-0001-5505-8988, Yale University), Louise B Russell (0000-0003-3599-0991, Rutgers, the State University of New Jersey), Paul G Barnett (0000-0001-9584-8327), Joseph Lipscomb (Emory University), William F Lawrence, William Lawrence (National Cancer Institute, autor correspondente), Martin L Brown (National Cancer Institute, autor correspondente)
Ano2009
Volume47
Fascículo7_Supplement_1
PáginasS127-S142
Data de publicação2009-07-01
Peer ReviewedSim
Open AccessNão
TipoARTICLE
PeriódicoMedical Care (JOURNAL)
Identificadores do periódicoISSN: 0025-7079 • E-ISSN: 1537-1948
EditoraOvid Technologies (Wolters Kluwer Health) (PUBLISHER)
DOI10.1097/mlr.0b013e3181a55c3e
PMID19536009
PMCIDPMC3097385
OpenAlexW2093513802
IdiomaEN
Citações recebidas4
Referências citadas23

OBJECTIVE: To develop an inventory of data sources for estimating health care costs in the United States and provide information to aid researchers in identifying appropriate data sources for their specific research questions. METHODS: We identified data sources for estimating health care costs using 3 approaches: (1) a review of the 18 articles included in this supplement, (2) an evaluation of websites of federal government agencies, non profit foundations, and related societies that support health care research or provide health care services, and (3) a systematic review of the recently published literature. Descriptive information was abstracted from each data source, including sponsor, website, lowest level of data aggregation, type of data source, population included, cross-sectional or longitudinal data capture, source of diagnosis information, and cost of obtaining the data source. Details about the cost elements available in each data source were also abstracted. RESULTS: We identified 88 data sources that can be used to estimate health care costs in the United States. Most data sources were sponsored by government agencies, national or nationally representative, and cross-sectional. About 40% were surveys, followed by administrative or linked administrative data, fee or cost schedules, discharges, and other types of data. Diagnosis information was available in most data sources through procedure or diagnosis codes, self-report, registry, or chart review. Cost elements included inpatient hospitalizations (42.0%), physician and other outpatient services (45.5%), outpatient pharmacy or laboratory (28.4%), out-of-pocket (22.7%), patient time and other direct nonmedical costs (35.2%), and wages (13.6%). About half were freely available for downloading or available for a nominal fee, and the cost of obtaining the remaining data sources varied by the scope of the project. CONCLUSIONS: Available data sources vary in population included, type of data source, scope, and accessibility, and have different strengths and weaknesses for specific research questions

Actuarial science · Business · Cost database · Data collection · Data mining · Data source · Database · Descriptive statistics · Environmental health · Family medicine · Government (linguistics) · Health care · Political science · Population · Statistics · Computer Science · Economic and Financial Impacts of Cancer · Electronic Health Records Systems · Healthcare Policy and Management · Medicine · Pharmacy