PubMed HealthSearch

PubMed · 8416111

Improving data collection strategies.

Abstract

The authors examined 21 major health data systems of the U.S. Department of Health and Human Services (DHHS) and concluded that data on Hispanics are not included in several Departmental national health data collection systems, and that even when collected, data on Hispanic subpopulations are found in few of the systems. Of the 21 data systems, 6 do not collect Hispanic population data, including the Medicare statistical system. Only the National Vital Statistics System was found to collect data for all major Hispanic subpopulation groups. Seventeen of the 21 data systems do not collect sample sizes adequate for analyzing any one of the four major Hispanic subpopulation groups. To address that lack, Hispanic health leadership agendas have recommended collecting data on Hispanics in all systems, where possible, to provide samples of a size adequate for detailed analysis of Hispanic subpopulation groups, for support of researchers and a Hispanic research infrastructure, and for broad dissemination of data findings, including dissemination in useful formats to Hispanic community-based organizations.

Explore related subjects

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

J L Delgado, L Estrada. Improving data collection strategies.. https://pubmed.ncbi.nlm.nih.gov/8416111/

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related citations

Time and qualitative research.

Qualitative researchers may bear a special obligation in relation to time, as the context they hope to preserve for the phenomena they study is, in large part, temporal. Temporal concerns are integral to qualitative research, whether the focus is on disciplines in which largely qualitative methods are used, paradigms of inquiry that are primarily associated with qualitative methods, or on qualitative methods themselves. Temporal factors play a critical role in purposive sampling, the content and structure of data collection and analysis techniques, and in the re-presentation of data in the qualitative research report. Qualitative research designs may be oriented to synchronic and/or diachronic analyses. The Trajectory Model is a useful framework for sampling, data collection, and analysis. The Storyline Graph is a tool especially useful in narrative research.

Data Collection