| Literature DB >> 17259042 |
Mary J Dyck1, Kennith Culp, Pamela Z Cacchione.
Abstract
Data quality has a direct impact on reliability and validity; however, procedures are usually briefly summarized in the Methods section of reports. Sustaining data quality and integrity over time can pose serious challenges, prompting the development of a data quality program based on Donabedian's quality framework. Although many are familiar with the structure, process, and outcome components in health care quality, their application to a research project may be unfamiliar. This article summarizes the data quality program for a cohort study of nursing home elders with delirium by providing an "insider's view" of procedures and protocols followed for several years.Entities:
Mesh:
Year: 2007 PMID: 17259042 PMCID: PMC1810512 DOI: 10.1016/j.apnr.2006.01.004
Source DB: PubMed Journal: Appl Nurs Res ISSN: 0897-1897 Impact factor: 2.257