The utility of rapid participatory appraisal for community assessment, diagnosis, and policy development

The selection of a model to guide the understanding and resolution of community problems is an important issue relating to the foundation of public health practice: assessment, policy development, and assurance. Many assessment models produce a diagnosis of community weaknesses, but fail to promote planning and interventions. Rapid Participatory Appraisal (RPA) is a participatory action research model which regards assessment as the first step in the problem solving process, and claims to achieve assessment and policy development within limited resources of time and money. Literature documenting the fulfillment of these claims, and thereby supporting the utility of the model, is relatively sparse and difficult to obtain. Very few articles discuss the changes resulting from RPA assessments in urban areas, and those that do describe studies conducted outside the U.S.A. ^ This study examines the utility of the RPA model and its underlying theories: systems theory, grounded theory, and principles of participatory change, as illustrated by the case study of a community assessment conducted for the Texas Diabetes Institute (TDI), San Antonio, Texas, and subsequent outcomes. Diabetes has a high prevalence and is a major issue in San Antonio. Faculty and students conducted the assessment by informal collaboration between two nursing and public health assessment courses, providing practical student experiences. The study area was large, and the flexibility of the model tested by its use in contiguous sub-regions, reanalyzing aggregated results for the study area. Official TDI reports, and a mail survey of agency employees, described policy development resulting from community diagnoses revealed by the assessment. ^ The RPA model met the criteria for utility from the perspectives of merit, worth, efficiency, and effectiveness. The RPA model best met the agencies' criteria (merit), met the data needs of TDI in this particular situation (worth), provided valid results within budget, time, and personnel constraints (efficiency), and stimulated policy development by TDI (effectiveness). ^ The RPA model appears to have utility for community assessment, diagnosis, and policy development in circumstances similar to the TDI diabetes study. ^

INFECTION: ITS ECOLOGICAL DETERMINANTS AMONG CHILDREN IN NORTHERN CHILE

In developing countries, infection and malnutrition, and their interaction effects, account for the majority of childhood deaths and chronic deficits in growth and development. To promote child health, the causal determinants of infection and malnutrition and cost-effective interventions must be identified. To this end, medical examinations of 988 children (age two weeks to 14 years) living at three altitudes (coastal < 300m; sierra (TURN) 3,000m; and altiplano > 4,000m) in Chile's northermost Department of Arica revealed that 393 (40%) of the youngsters harbored one or more infections. When sorted by region and ethnicity, indigenous children of the highlands had infection rates 50% higher than children of Spanish descent living near the coast.^ An ecological model was developed and used to examine the causal path of infection and measure the effect of single and combined environmental variables. Family variables significantly linked to child health included maternal health, age and education. Significant child determinants of infection included the child's nutrient intake and medical history. When compared to children well and free of disease, infected youngsters reported a higher incidence of recent illness and a lower intake of basic foodstuffs. Traditional measures of child health, e.g. birth condition, weaning history, maternal fertility, and family wealth, did not differentiate between well and infected children.^ When height, weight, arm circumference, and subcapular skinfold measurements were compared, infected children, regardless of age, had smaller arm circumferences, the statistical difference being the greatest for males, age nine to eleven. Height and weight, the traditional growth indices, did not differentiate between well and infected groups.^ Infection is not determined by a single environmental factor or even a series of variables. Child health is ecological in nature and cannot be improved independent of changes in the environment that surrounds the child. To focus on selected child health needs, such as feeding programs or immunization campaigns, without simultaneously attending to the environment from which the needs arose is an inappropriate use of time, personnel, and money. ^