Data quality management: an example in caregiver research.
The purpose of this paper is to assist nurse researchers around the world in addressing data quality issues by guiding them through an example of a complex multicultural study of caregivers who take care of elders in their home. Using data flow diagrams for visualization, methods of data quality man...
| Publicado en: | Journal of Research in Nursing Vol. 12; no. 4; pp. 333 - 346 |
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| Autores principales: | , , |
| Formato: | research tables/charts Journal Article |
| Publicado: |
Sage Publications Inc.
Jul2007
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=106167890&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 106167890 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 17449871 1FV0 jtl: Journal of Research in Nursing issn: 17449871 maglogo: Y pubinfo: dt: Jul2007 vid: 12 iid: 4 pid: 344 pub: Sage Publications Inc. place: Thousand Oaks, California artinfo: ui: 106167890 106167890 2009661520 106167890 ppf: 333 ppct: 13 formats: tig: atl: Data quality management: an example in caregiver research. aug: au: Friedemann M Mayorga C Newman FL affil: Professor, College of Nursing and Health Sciences, Florida International University, Florida sug: subj: Caregivers Psychosocial Factors Gerontologic Care Home Nursing Quality Control (Technology) Aged Data Analysis Descriptive Statistics Florida Funding Source Quantitative Studies Research Subject Recruitment Structured Interview Human Aged: 65+ years ab: The purpose of this paper is to assist nurse researchers around the world in addressing data quality issues by guiding them through an example of a complex multicultural study of caregivers who take care of elders in their home. Using data flow diagrams for visualization, methods of data quality management are outlined in the stages of subject recruitment, data gathering, and data monitoring. Various strategies are used to improve the quality of such data as the sample, information on consent forms, raw interview data, and the electronic data file. These strategies are aimed at avoiding various sources of human error, error in sampling, non-response and coverage error, as well as error of measurement and processing. Ultimately, this exemplar demonstrates an approach to realistic decision making and may offer nurse researchers incentives for discussion of their own data quality plans. Since immigrant population groups are expanding in many countries across the world, nurse researchers who seek to include such ethnic groups in their studies may find the multiethnic considerations included in the discussion of additional value. pubtype: Academic Journal doctype: research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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