3 resultados para Collective farms

em DigitalCommons@The Texas Medical Center


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In order to fully describe the construct of empowerment and to determine possible measures for this construct in racially and ethnically diverse neighborhoods, a qualitative study based on Grounded Theory was conducted at both the individual and collective levels. Participants for the study included 49 grassroots experts on community empowerment who were interviewed through semi-structured interviews and focus groups. The researcher also conducted field observations as part of the research protocol.^ The results of the study identified benchmarks of individual and collective empowerment and hundreds of possible markers of collective empowerment applicable in diverse communities. Results also indicated that community involvement is essential in the selection and implementation of proper measures. Additional findings were that the construct of empowerment involves specific principles of empowering relationships and particular motivational factors. All of these findings lead to a two dimensional model of empowerment based on the concepts of relationships among members of a collective body and the collective body's desire for socio-political change.^ These results suggest that the design, implementation, and evaluation of programs that foster empowerment must be based on collaborative ventures between the population being served and program staff because of the interactive, synergistic nature of the construct. In addition, empowering programs should embrace specific principles and processes of individual and collective empowerment in order to maximize their effectiveness and efficiency. And finally, the results suggest that collaboratively choosing markers to measure the processes and outcomes of empowerment in the main systems and populations living in today's multifaceted communities is a useful mechanism to determine change. ^

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Background: Nigeria was one of the 13 countries where avian influenza outbreak in poultry farms was reported during the 2006 avian influenza pandemic threat and was also the first country in Africa to report the presence of H5N1influenza among its poultry population. There are multiple hypotheses on how the avian influenza outbreak of 2006 was introduced to Nigeria, but the consensus is that once introduced, poultry farms and their workers were responsible for 70% of the spread of avian influenza virus to other poultry farms and the population. ^ The spread of avian influenza has been attributed to lack of compliance by poultry farms and their workers with poultry farm biosecurity measures. When poultry farms fail to adhere to biosecurity measures and there is an outbreak of infectious diseases like in 2006, epidemiological investigations usually assess poultry farm biosecurity—often with the aid of a questionnaire. Despite the importance of questionnaires in determining farm compliance with biosecurity measures, there have been few efforts to determine the validity of questionnaires designed to assess poultry farms risk factors. Hence, this study developed and validated a tool (questionnaire) that can be used for poultry farm risk stratification in Imo State, Nigeria. ^ Methods: Risk domains were generated using literature and recommendations from agricultural organizations and the Nigeria government for poultry farms. The risk domains were then used to develop a questionnaire. Both the risk domain and questionnaire were verified and modified by a group of five experts with a research interest in Nigeria's poultry industry and/or avian influenza prevention. Once a consensus was reached by the experts, the questionnaire was distributed to 30 selected poultry farms in Imo State, Nigeria that participated in this study. Survey responses were received for all the 30 poultry farms that were selected. The same poultry farms were visited one week after they completed the questionnaires for on-site observation. Agreement among survey and observation results were analyzed using a kappa test and rated as poor, fair, moderate, substantial, or nearly perfect; and internal consistency of the survey was also computed. ^ Result: Out of the 43 items on the questionnaire, 32 items were validated by this study. The agreement between the survey result and onsite observation was analyzed using kappa test and ranged from poor to nearly perfect. Most poultry farms had their best agreements in the contact section of the survey. The least agreement was noted in the farm management section of the survey. Thirty-two questions on the survey had a coefficient alpha > 0.70, which is a robust internal consistency for the survey. ^ Conclusion: This study developed 14 risk domains for poultry farms in Nigeria and validated 32 items from the original questionnaire that contained 43 items. The validated items can be used to determine the risk of introduction and spread of avian influenza virus in poultry farms in Imo State, Nigeria. After further validations in other states, regions and poultry farm sectors in Nigeria; this risk assessment tool can then be used to determine the risk profile of poultry farms across Nigeria.^