2 resultados para Apparent needs
em DigitalCommons@The Texas Medical Center
Resumo:
Developing countries suffer from an array of diseases, of which the developed world is unfamiliar. In order to facilitate the development of community interventions and streamline NGO partnership, needs assessments in targeted areas are conducted. The purpose of this assessment was to attain baseline descriptive data to further understand the needs of the village of Robit, Ethiopia. A trained team collected data from Austin based non-profit Water to Thrive (W2T) on June 1st and 2nd, 2011 through focus groups, key informant interviews, and individual surveys. Qualitative and quantitative data were paired to affirm the results of one another through triangulation. The results identified an apparent need for health intervention and education. Malaria, water-borne disease, respiratory issues (asthma, Upper respiratory tract infections), and maternal and child health were among the evident problems in Robit. There was a clear need for midwife training as well as water sanitation, latrine building, and general illness treatment. Poor road conditions and annual flooding of Robit plays an important role in the poor health and lack of food security of the village. While some evidence of social desirability and recall bias was found in the interview and survey data, the triangulation of findings provided important insights and validity to the needs assessment. ^
Resumo:
Purpose: The purpose of this study was to assess the healthcare information needs of decision-makers in a local US healthcare setting in efforts to promote the translation of knowledge into action. The focus was on the perceptions and preferences of decision-makers regarding usable information in making decisions as to identify strategies to maximize the contribution of healthcare findings to policy and practice. Methods: This study utilized a qualitative data collection and analysis strategy. Data was collected via open-ended key-informant interviews from a sample of 37 public and private-sector healthcare decision-makers in the Houston/Harris County safety net. The sample was comprised of high-level decision-makers, including legislators, executive managers, service providers, and healthcare funders. Decision-makers were asked to identify the types of information, the level of collaboration with outside agencies, useful attributes of information, and the sources, formats/styles, and modes of information preferred in making important decisions and the basis for their preferences. Results: Decision-makers report acquiring information, categorizing information as usable knowledge, and selecting information for use based on the application of four cross-cutting thought processes or cognitive frameworks. In order of apparent preference, these are time orientation, followed by information seeking directionality, selection of validation processes, and centrality of credibility/reliability. In applying the frameworks, decision-makers are influenced by numerous factors associated with their perceptions of the utility of information and the importance of collaboration with outside agencies in making decisions as well as professional and organizational characteristics. Conclusion: An approach based on the elucidated cognitive framework may be valuable in identifying the reported contextual determinants of information use by decision-makers in US healthcare settings. Such an approach can facilitate active producer/user collaborations and promote the production of mutually valued, comprehensible, and usable findings leading to sustainable knowledge translation efforts long-term.^