Data management in practice-based research.
OBJECTIVE: Multi-site data collection is complex and requires an effective data management system. This article explores data management issues encountered in the design, conduct, and analysis of a research project involving 74 community-based sites and a central data management system. RESULTS: Onc...
| Publicado en: | Journal of Manipulative & Physiological Therapeutics Vol. 25; no. 1; pp. 49 - 58 |
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| Autores principales: | , , , , |
| Formato: | tables/charts Journal Article |
| Publicado: |
Elsevier B.V.
Jan2002
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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=106926411&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 106926411 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 01614754 8GE jtl: Journal of Manipulative & Physiological Therapeutics issn: 01614754 maglogo: N pubinfo: dt: Jan2002 vid: 25 iid: 1 pid: 1265 pub: Elsevier B.V. place: Philadelphia, Pennsylvania artinfo: ui: 106926411 2002057678 10.1067/mmt.2002.120417 NLM11898018 106926411 ppf: 49 ppct: 9 formats: fmt: @attributes: type: P tig: atl: Data management in practice-based research. aug: au: Nyiendo J Attwood M Lloyd C Ganger B Haas M affil: Western States Chiropractic College, Division of Research, Center for Outcomes Studies, Portland, OR sug: subj: Data Management Research Methodology Data Collection Data Analysis Quality Assurance ab: OBJECTIVE: Multi-site data collection is complex and requires an effective data management system. This article explores data management issues encountered in the design, conduct, and analysis of a research project involving 74 community-based sites and a central data management system. RESULTS: Once the data arrived at the central site, data integrity was maintained at a very high level. Issues encountered in our study on low back pain reflected the practice-based nature of the study and the limitations of finances, staff, and facilities. CONCLUSION: The task of converting a research protocol to actual procedures for data collection and data management can be very challenging. The importance of early recognition of the effort and resources needed for data management and quality-control procedures cannot be overestimated. pubtype: Academic Journal doctype: tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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