The door of the tomb is open: Participatory action research to assess the impact of strengthened community capacity on maternal health care in rural Mali

This participatory action-research project addressed the hypothesis that strengthened community and women's capacity for self-development will lead to action to address maternal health problems and the prevention of maternal morbidity and mortality in Mali. Research objectives were: (1) to undertake a comparative cross-sectional study of the association of community capacity with improved maternal health in rural areas of Sanando, Mali, where capacity building interventions have taken place in some villages but not in others. (2) to describe women's maternal health status, access to and use of maternal health services given their residence in program or comparison communities.^ The participatory action research project was an integrated qualitative and quantitative study using participatory rural appraisal exercises, semi-structured group interviews and a cross-sectional survey.^ Factors related to community capacity for self-development were identified: community harmony; an understanding of the benefits of self-development; dynamic leadership; and a structure to implement collective activities.^ A distinct difference between the program and comparison villages was the commitment to train and support traditional birth attendants (TBAs). The TBAs in the program villages work in the context of the wider, integrated self-development program and, 10 years after their initial training, the TBAs continue to practice.^ Many women experience labor and childbirth alone or are attended by an untrained relative in both program and comparison villages. Nevertheless a significant change is apparent, with more women in program villages than in comparison villages being assisted by the TBAs. The delivery practices of the TBAs reveal the positive impact of their training in the "three cleans" (clean hands of the assistant, clean delivery surface and clean cord-cutting). The findings of this study indicate a significant level of unmet need for child spacing methods in all villages.^ The training and support of TBAs in the program villages yielded significant improvements in their delivery practices, and resulting outcomes for women and infants. However, potential exists for further community action. Capacities for self-development have not yet been directed toward an action plan encompassing other Safe Motherhood interventions, including access to family planning services and emergency obstetric care services. ^

Why the Village is so Hard to Find: Challenging Ourselves, Transforming Our Helping Systems

Keynote address presented by Roger Friedman, PhD, LCSW at the Family Preservation Institute Annual Conference, San Antonio, Texas, September 9, 2004. Looking at Language and Concepts Looking closely at certain language that we use helps us understand how we think about our work and our world—and ultimately, it helps us understand ourselves better. The term "village " as used in the title of the paper and in many of our professional conversations is worthy of such an inquiry

Effects of informative censoring on the hazard function: Application to the proportional hazards regression model

The standard analyses of survival data involve the assumption that survival and censoring are independent. When censoring and survival are related, the phenomenon is known as informative censoring. This paper examines the effects of an informative censoring assumption on the hazard function and the estimated hazard ratio provided by the Cox model.^ The limiting factor in all analyses of informative censoring is the problem of non-identifiability. Non-identifiability implies that it is impossible to distinguish a situation in which censoring and death are independent from one in which there is dependence. However, it is possible that informative censoring occurs. Examination of the literature indicates how others have approached the problem and covers the relevant theoretical background.^ Three models are examined in detail. The first model uses conditionally independent marginal hazards to obtain the unconditional survival function and hazards. The second model is based on the Gumbel Type A method for combining independent marginal distributions into bivariate distributions using a dependency parameter. Finally, a formulation based on a compartmental model is presented and its results described. For the latter two approaches, the resulting hazard is used in the Cox model in a simulation study.^ The unconditional survival distribution formed from the first model involves dependency, but the crude hazard resulting from this unconditional distribution is identical to the marginal hazard, and inferences based on the hazard are valid. The hazard ratios formed from two distributions following the Gumbel Type A model are biased by a factor dependent on the amount of censoring in the two populations and the strength of the dependency of death and censoring in the two populations. The Cox model estimates this biased hazard ratio. In general, the hazard resulting from the compartmental model is not constant, even if the individual marginal hazards are constant, unless censoring is non-informative. The hazard ratio tends to a specific limit.^ Methods of evaluating situations in which informative censoring is present are described, and the relative utility of the three models examined is discussed. ^