Inventory of data sources for estimating health care costs in the United States.

Jennifer L. Lund, K. Robin Yabroff, Yoko Ibuka, Louise B. Russell, Paul G. Barnett, Joseph Lipscomb, William F. Lawrence, Martin L. Brown

Research output: Contribution to journalArticle

13 Citations (Scopus)

Abstract

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.

Original languageEnglish
JournalMedical Care
Volume47
Issue number7 Suppl 1
Publication statusPublished - 2009 Jul
Externally publishedYes

Fingerprint

Information Storage and Retrieval
Health Care Costs
Equipment and Supplies
Costs and Cost Analysis
Government Agencies
Fees and Charges
Federal Government
Health Services Research
Salaries and Fringe Benefits
Ambulatory Care
Research
Self Report
Population
Health Services
Registries
Inpatients
Appointments and Schedules
Hospitalization

ASJC Scopus subject areas

  • Public Health, Environmental and Occupational Health

Cite this

Lund, J. L., Yabroff, K. R., Ibuka, Y., Russell, L. B., Barnett, P. G., Lipscomb, J., ... Brown, M. L. (2009). Inventory of data sources for estimating health care costs in the United States. Medical Care, 47(7 Suppl 1).

Inventory of data sources for estimating health care costs in the United States. / Lund, Jennifer L.; Yabroff, K. Robin; Ibuka, Yoko; Russell, Louise B.; Barnett, Paul G.; Lipscomb, Joseph; Lawrence, William F.; Brown, Martin L.

In: Medical Care, Vol. 47, No. 7 Suppl 1, 07.2009.

Research output: Contribution to journalArticle

Lund, JL, Yabroff, KR, Ibuka, Y, Russell, LB, Barnett, PG, Lipscomb, J, Lawrence, WF & Brown, ML 2009, 'Inventory of data sources for estimating health care costs in the United States.', Medical Care, vol. 47, no. 7 Suppl 1.
Lund JL, Yabroff KR, Ibuka Y, Russell LB, Barnett PG, Lipscomb J et al. Inventory of data sources for estimating health care costs in the United States. Medical Care. 2009 Jul;47(7 Suppl 1).
Lund, Jennifer L. ; Yabroff, K. Robin ; Ibuka, Yoko ; Russell, Louise B. ; Barnett, Paul G. ; Lipscomb, Joseph ; Lawrence, William F. ; Brown, Martin L. / Inventory of data sources for estimating health care costs in the United States. In: Medical Care. 2009 ; Vol. 47, No. 7 Suppl 1.
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abstract = "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.",
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AB - 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.

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