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Cancer  2012;118(21):5366-5373.
Although large numbers of cancer survivors exist in every community, including minority communities, there is a significant gap in knowledge about best practices for these patients.
Community Networks Programs (CNPs) funded by the National Cancer Institute’s Center to Reduce Cancer Health Disparities, have developed and tested unique services for these communities. These programs have utilized community based participatory research techniques under a framework of diffusion of innovation and communications theory.
This article describes some specifically tailored interventions that may be useful to a wide range of providers working with the underserved
Enhancing life after cancer can be achieved in underserved communities by supplementing local resources.
PMCID: PMC3381933  PMID: 22434384
community networks; cancer; quality of life; health disparities; palliative care; comprehensive cancer care; spirituality
3.  Operationalization of community-based participatory research principles across the National Cancer Institute’s Community Network Programs 
American Journal of Public Health  2011;102(6):1195-1203.
To examine how the National Cancer Institute-funded Community Network Program (CNP) operationalized principles of community-based participatory research (CBPR).
Based on our review of the literature and extant CBPR measurement tools, scientists from nine of 25 CNPs developed a 27-item questionnaire to self-assess CNP operationalization of nine CBPR principles.
Of 25 CNPs, 22 (88%) completed the questionnaire. Most scored well on CBPR principles to recognize community as a unit of identity, build on community strengths, facilitate co-learning, embrace iterative processes in developing community capacity, and achieve a balance between data generation and intervention. CNPs varied in extent to which they employed CBPR principles of addressing determinants of health, sharing power among partners, engaging community in research dissemination, and striving for sustainability.
Although tool development in this field is in its infancy, findings suggest that fidelity to CBPR processes can be assessed in a variety of settings.
PMCID: PMC3292685  PMID: 22095340
Cancer disparities; community health; empowerment; health status disparities; indigenous populations; minority health; partnerships; training
4.  Traditions and Alcohol Use: A Mixed-Methods Analysis 
An integrative mixed-methods analysis examined traditional beliefs as associated with beliefs about self-care during pregnancy and with alcohol abstinence among young adult women from two rural U.S.–Mexico border communities. Quantitative (measured scale) variables and qualitative thematic variables generated from open-ended responses served as within-time predictors of these health-related outcomes. A weaker belief that life is better in big cities was associated with stronger self-care beliefs during pregnancy. Also, a weaker belief that small towns offer tranquil environments was associated with total abstinence from alcohol. Regarding the Hispanic Paradox, these results suggest that a critical appreciation of cultural traditions can be protective, as this avoids stereotypical or idyllic views of urban or rural lifeways, and promotes self-protective beliefs and behaviors.
PMCID: PMC3235530  PMID: 17967095
family traditions; rural lifestyle; mixed methods; Hispanic paradox; alcohol use
5.  Process for Determining the Cancer Burden of the Hopi Tribe 
Public Health Reports  2010;125(6):793-800.
The Hopi Tribe is located in the northeastern part of Arizona on more than one million acres of federally reserved land. Tribally based community research, conducted in collaboration with University of Arizona researchers, has been successfully implemented on Hopi beginning with a cross-sectional community survey in 1993 and continuing with a second survey in 2006. Both surveys identified a strong community interest in cancer.
This article reports on the process involved in a third study, in which official Hopi enrollment data were matched with Arizona Cancer Registry data. The process involved bringing in a new partner and obtaining tribal, state, and university approvals, as well as a signed data exchange agreement between the state and the Hopi Tribe. Technical implementation of the data match required computer programming and epidemiologic expertise, as well as an understanding of the community and the culture. Close collaboration among Hopi residents and university epidemiologists was critical.
PMCID: PMC2966660  PMID: 21121224

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