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Biomedical subjects

Anita R Kothari

Publications and source records attributed to Anita R Kothari.

3 recordsLinked to original sources

Multiple intervention research programs in community health.

The authors describe an organizing framework for multiple interventions in community health. The framework provides a foundation for programmatic research on multiple interventions and poses critical questions that need to be addressed in the next generation of research in this field. Multiple intervention programs are characterized by the use of multiple strategies targeted at multiple levels of the socio-ecological system and delivered to multiple target audiences. Consequently, they complement the growing literature on the broad determinants of health and health promotion. The authors describe a 4-stage framework and identify gaps and challenges in this field of research. There are 5 key research areas requiring concerted action; researchers must: examine nested determinants, develop integrated conceptual frameworks, examine ways to optimize synergies among interventions, describe spin-offs from multiple intervention programs, and monitor the sustainability of their impact.

Canada↗

Multilevel health promotion research: conceptual and analytical considerations.

Health promotion research is often conceptualized through the use of socioecological frameworks. This results in data or variables associated with multiple levels such as individual, community, and provincial. These data are nested, or clustered. In other words, multilevel health promotion research is based on the idea that community influences health, above and beyond one's individual characteristics or behaviours. These contextual effects can be analyzed rigorously using multilevel modelling (MLM), thus determining whether contextual effects are truly derived from context or are the result of residents' social profile. MLM also facilitates examination of cross-level interaction effects. The authors discuss conceptual and methodological issues related to multilevel research. While multilevel pathways to health outcomes have been suggested at the conceptual level, analytical techniques that produce only average overall effects fail to reveal the various other influences on health behaviour.

Data Interpretation, Statistical↗

Individual and regional determinants of mammography uptake.

BACKGROUND: Analysis of mammography utilization has traditionally been performed from an individual-level perspective. The purpose of this study was to explore the combined influence of individual- and regional-level determinants of mammography utilization. METHODS: Logistic hierarchical multilevel modelling was used to investigate the influences of region of residence and individual characteristics on mammography utilization. Socioeconomic status information about health planning regions was derived from the 1996 Canadian Census. Individual-level information was extracted from the 1996 National Population Health Survey. RESULTS: After controlling for individual-level education, regions with fewer high school graduates had lower levels of mammography utilization. A cross-level interaction between regional-level education and individual-level social involvement was found. Other individual-level variables associated with screening confirmed previous literature findings. CONCLUSION: Our findings suggest that higher levels of participation in social activities modify the detrimental influence on mammography utilization of living in a less educated region. This challenges the current focus of mammography screening research on individual-level determinants of uptake. Multilevel, synergistic strategies to possibly achieve higher levels of screening should be considered by health promotion program planners.

Aged↗