Systems analysis of collaboration in 5 national tobacco control networks.
OBJECTIVES: We studied 5 members of the National Network Consortium on Tobacco Control in Priority Populations. These networks, which consist of governmental and nongovernmental organizations, targeted lesbian, gay, bisexual, and transgender persons; Asian Americans, Native Hawaiians, and Pacific Is...
| Publicado en: | American Journal of Public Health Vol. 100; no. 7; pp. 1290 - 1298 |
|---|---|
| Autores principales: | , , , , , |
| Formato: | research tables/charts Journal Article |
| Publicado: |
American Public Health Association
Jul2010
|
| 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=105039139&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 105039139 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 00900036 APH jtl: American Journal of Public Health issn: 00900036 maglogo: N pubinfo: dt: Jul2010 vid: 100 iid: 7 pid: 44 pub: American Public Health Association place: Washington, District of Columbia artinfo: ui: 105039139 52020910 2010697167 10.2105/AJPH.2009.184358 NLM20466950 105039139 ppf: 1290 ppct: 8 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: Systems analysis of collaboration in 5 national tobacco control networks. aug: au: Luke DA Harris JK Shelton S Allen P Carothers BJ Mueller NB affil: Center for Tobacco Policy Research, Brown School of Social Work, Washington University in St. Louis, St. Louis, MO 63112, USA. dluke@wustl.edu sug: subj: Collaboration Networking, Professional Smoking Prevention and Control Confidence Intervals Data Analysis Software Data Analysis, Statistical Descriptive Statistics Goodness of Fit Chi Square Test Human P-Value Surveys ab: OBJECTIVES: We studied 5 members of the National Network Consortium on Tobacco Control in Priority Populations. These networks, which consist of governmental and nongovernmental organizations, targeted lesbian, gay, bisexual, and transgender persons; Asian Americans, Native Hawaiians, and Pacific Islanders; American Indians and Alaska Natives; African Americans; and persons with low socioeconomic status, respectively. METHODS: We used statistical network analysis modeling to examine collaboration among these national networks in 2007. RESULTS: Network size and composition varied, but all 5 networks had extensive interorganizational collaboration. Location and work area were significant predictors of collaboration among network members in all 5 networks. Organizations were more likely to collaborate with their network's lead agency; collaborations with other agencies were more likely if they were geographically close. Collaboration was perceived to be important for achieving the goals of the national network. CONCLUSIONS: The similarity of collaboration patterns across the 5 networks suggests common underlying partnership formation processes. Statistical network modeling promises to be a useful tool for understanding how public health systems such as networks and coalitions can be used to improve the nation's health. pubtype: Academic Journal doctype: research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
|---|