Social science & medicine
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Social science & medicine · Mar 2003
Implementing participatory intervention and research in communities: lessons from the Kahnawake Schools Diabetes Prevention Project in Canada.
Community public health interventions based on citizen and community participation are increasingly discussed as promising avenues for the reduction of health inequalities and the promotion of social justice. However, very few authors have provided explicit principles and guidelines for planning and implementing such interventions, especially when they are linked with research. Traditional approaches to public health programming emphasise expert knowledge, advanced detailed planning, and the separation of research from intervention. ⋯ Using the experience of the Kahnawake Schools Diabetes Prevention Project, in Canada, this paper elaborates four principles as basic components for an implementation model of community programmes. The principles are: (1) the integration of community people and researchers as equal partners in every phase of the project, (2) the structural and functional integration of the intervention and evaluation research components, (3) having a flexible agenda responsive to demands from the broader environment, and (4) the creation of a project that represents learning opportunities for all those involved. The emerging implementation model for community interventions, as exemplified by this project, is one that conceives a programme as a dynamic social space, the contours and vision of which are defined through an ongoing negotiation process.
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This study examined how patient characteristics, physician characteristics, the physician's interaction with the health care system, and the physician's interaction with the patient influenced whether patients with a depression diagnosis received an antidepressant prescription and whether they received a SSRI antidepressant, a non-SSRI antidepressant, or both. The 1998 National Ambulatory Medical Care Survey (NAMCS), in the USA, was used for the analysis. Logistic regression was used to examine what characteristics influenced whether a patient with a depression diagnosis received an antidepressant prescription. ⋯ Patient characteristics, physician characteristics, the physician's interaction with the health care system, and the physician's interaction with the patient all influenced antidepressant prescribing. An especially important finding was that insurance status influenced whether patients received an antidepressant. Health care providers need to take the time to help patients without insurance obtain antidepressant medication if it is needed.