Innovations in user-defined analysis: dynamic grouping and customized user datasets in VistaPHw.
Flexible, ready access to community health assessment data is a feature of innovative Web-based data query systems. An example is VistaPHw, which provides access to Washington state data and statistics used in community health assessment. Because of its flexible analysis options, VistaPHw customizes...
| Publicado en: | Journal of Public Health Management & Practice Vol. 12; no. 2; pp. 130 - 139 |
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| Autores principales: | , , , |
| Formato: | pictorial tables/charts Journal Article |
| Publicado: |
Lippincott Williams & Wilkins
Mar/Apr2006
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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=106352732&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 106352732 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 10784659 0O3 jtl: Journal of Public Health Management & Practice issn: 10784659 maglogo: N pubinfo: dt: Mar/Apr2006 vid: 12 iid: 2 pid: 5086 pub: Lippincott Williams & Wilkins place: Baltimore, Maryland artinfo: ui: 106352732 106352732 2009251496 10.1097/00124784-200603000-00004 NLM16479226 106352732 ppf: 130 ppct: 9 formats: tig: atl: Innovations in user-defined analysis: dynamic grouping and customized user datasets in VistaPHw. aug: au: Solet D Glusker A Laurent A Yu T affil: Epidemiology, Planning and Evaluation Unit, Public Health -- Seattle & King County, 999 Third Ave, Suite 1200, Seattle, WA 98104; david.solet@metrokc.gov sug: subj: Community Assessment Data Collection Methods Data Management Methods Data Mining Methods Health and Welfare Planning Health Status Public Health Administration World Wide Web Utilization Data Analysis, Statistical Database Management Software Health Status Indicators Evaluation Information Retrieval Information Systems Variable ab: Flexible, ready access to community health assessment data is a feature of innovative Web-based data query systems. An example is VistaPHw, which provides access to Washington state data and statistics used in community health assessment. Because of its flexible analysis options, VistaPHw customizes local, population-based results to be relevant to public health decision-making. The advantages of two innovations, dynamic grouping and the Custom Data Module, are described. Dynamic grouping permits the creation of user-defined aggregations of geographic areas, age groups, race categories, and years. Standard VistaPHw measures such as rates, confidence intervals, and other statistics may then be calculated for the new groups. Dynamic grouping has provided data for major, successful grant proposals, building partnerships with local governments and organizations, and informing program planning for community organizations. The Custom Data Module allows users to prepare virtually any dataset so it may be analyzed in VistaPHw. Uses for this module may include datasets too sensitive to be placed on a Web server or datasets that are not standardized across the state. Limitations and other system needs are also discussed. pubtype: Academic Journal doctype: pictorial tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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