Data Linkages for Research on Outcomes of Long-Term Care | Zendy

Earlene E. Lipowski | Zendy; Wayne Bigelow | Zendy

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Data Linkages for Research on Outcomes of Long-Term Care

Author(s) -

Earlene E. Lipowski,

Wayne Bigelow

Publication year - 1996

Publication title -

the gerontologist

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 1.524

H-Index - 138

eISSN - 1758-5341

pISSN - 0016-9013

DOI - 10.1093/geront/36.4.441

Subject(s) - minimum data set , reimbursement , medicaid , resource (disambiguation) , quality assurance , sample (material) , linkage (software) , health care , quality (philosophy) , term (time) , resource use , data collection , set (abstract data type) , longitudinal data , medicine , nursing , computer science , nursing homes , data mining , environmental resource management , political science , statistics , philosophy , mathematics , law , computer network , chemistry , external quality assessment , pathology , biochemistry , epistemology , chromatography , quantum mechanics , programming language , physics , gene , environmental science

Medicaid claims were linked with a sample of data gathered for nursing home quality assurance and case mix reimbursement (N = 14,917). This generated patient level records of medical resource use combined with standardized assessments of health and functional status. We describe the linkage process and the characteristics of the combined set of information-its strengths, limitations, and potential uses. The two data sources, one cross-sectional and the other longitudinal, complemented one another and provided a more complete description of patient resource use and health status. However, methodological and ethical issues must be resolved before data linkages are used routinely for research.

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