Opal Vanessa Buchthal1, Jason E Maddock2. 1. Office of Public Health Studies, University of Hawai'i at Mānoa, Honolulu, HI. Electronic address: opalb@hawaii.edu. 2. Office of Public Health Studies, University of Hawai'i at Mānoa, Honolulu, HI.
Abstract
OBJECTIVE: To identify communication and collaboration patterns among organizations involved in nutrition education within an ethnically diverse low-income community. DESIGN: A snowball sample methodology was used to identify 27 organizations involved in nutrition activities in the community. The researchers conducted an online survey and network analysis to identify communication and collaboration patterns among these organizations. SETTING: An urban neighborhood in Honolulu, HI. PARTICIPANTS: Individuals responsible for nutrition activities at state, county, and nonprofit organizations. MAIN OUTCOME MEASURES: Network structure, betweenness, and centralization. ANALYSIS: Communication was uncentralized and collaboration was limited. Collaboration was affected by differences in mission, location, and population served. Child care/youth development organizations and community health centers provided links across the community. Agencies serving different ethnic populations were poorly linked and located on the periphery of the network. Ethnic-specific churches expressed strong interest in nutrition partnership but were not identified as potential partners by other agencies in the network. CONCLUSIONS AND IMPLICATIONS: Limited communication between agencies serving different populations in the same community may result in missed opportunities for collaboration. Network analysis is an effective tool for identifying these gaps and helps build community capacity for improving nutrition outcomes.
OBJECTIVE: To identify communication and collaboration patterns among organizations involved in nutrition education within an ethnically diverse low-income community. DESIGN: A snowball sample methodology was used to identify 27 organizations involved in nutrition activities in the community. The researchers conducted an online survey and network analysis to identify communication and collaboration patterns among these organizations. SETTING: An urban neighborhood in Honolulu, HI. PARTICIPANTS: Individuals responsible for nutrition activities at state, county, and nonprofit organizations. MAIN OUTCOME MEASURES: Network structure, betweenness, and centralization. ANALYSIS: Communication was uncentralized and collaboration was limited. Collaboration was affected by differences in mission, location, and population served. Child care/youth development organizations and community health centers provided links across the community. Agencies serving different ethnic populations were poorly linked and located on the periphery of the network. Ethnic-specific churches expressed strong interest in nutrition partnership but were not identified as potential partners by other agencies in the network. CONCLUSIONS AND IMPLICATIONS: Limited communication between agencies serving different populations in the same community may result in missed opportunities for collaboration. Network analysis is an effective tool for identifying these gaps and helps build community capacity for improving nutrition outcomes.
Authors: Neal Jeffries; Alan M Zaslavsky; Ana V Diez Roux; John W Creswell; Richard C Palmer; Steven E Gregorich; James D Reschovsky; Barry I Graubard; Kelvin Choi; Ruth M Pfeiffer; Xinzhi Zhang; Nancy Breen Journal: Am J Public Health Date: 2019-01 Impact factor: 9.308
Authors: Joy Agner; Catherine M Pirkle; Lola Irvin; Jay E Maddock; Opal Vanessa Buchthal; Jessica Yamauchi; Ranjani Starr; Tetine Sentell Journal: BMC Public Health Date: 2020-01-31 Impact factor: 3.295