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Strategic environmental assessment of plans and programs: a methodology for estimating effects on biodiversity.

We developed a methodology for biodiversity evaluations within the process of Strategic Environmental Assessment and we applied it to the estimation of the effect of two Regional Plans of Development on all bird species inhabiting the Castilla y León region (northwestern Spain). The methodology is based on the evaluation of the effects of main development actions on the habitat requirements of species. From these evaluations, and from data on the current distribution and population size (number of individuals) of each species, we estimated the most likely pattern of distribution and population size after the full implementation of the plans for each species. The impacts of the plans were quantified as the differences between the pre- and postproject patterns after codifying them to compensate for differences in the quality of the information available among species. Overall, we conclude that the proposed methodology fulfills the requirements for its use within the SEA process as it allows for the assessment of cumulative impacts on every species, highlighting the development directions and the habitat types with major impacts, and ascertaining whether impacts affect species with either low or high conservation and/or economic value. Generalization of the proposed methodology to other regions or species will require wildlife-habitat models adequate for SEA analyses, so that we also propose guidelines for the development and validation of these models.

Animals↗

Dental health and the application of geographical methodology.

Reorganisation of dental services in Britain gives new opportunities for planning. Geographical methodology provides new techniques. An elementary spatial analysis of variations in dental health in Newcastle Area Health Authority (Teaching) shows that dental health varies with availability and access to treatment facilities. Opposite types of geographical distribution of community (School) and general dental services are illustrated showing location biases for each type of service. The evaluation of the spatial distribution of dental services is shown to be basic to planning and a key to improved dental health.

Catchment Area, Health↗

The WHO Multicentre Growth Reference Study: planning, study design, and methodology.

The World Health Organization (WHO) Multicentre Growth Reference Study (MGRS) is a community-based, multicountry project to develop new growth references for infants and young children. The design combines a longitudinal study from birth to 24 months with a cross-sectional study of children aged 18 to 71 months. The pooled sample from the six participating countries (Brazil, Ghana, India, Norway, Oman, and the United States) consists of about 8,500 children. The study subpopulations had socioeconomic conditions favorable to growth, and low mobility, with at least 20% of mothers following feeding recommendations and having access to breastfeeding support. The individual inclusion criteria were absence of health or environmental constraints on growth, adherence to MGRS feeding recommendations, absence of maternal smoking, single term birth, and absence of significant morbidity. In the longitudinal study, mothers and newborns were screened and enrolled at birth and visited at home 21 times: at weeks 1, 2, 4, and 6; monthly from 2 to 12 months; and every 2 months in their second year. In addition to the data collected on anthropometry and motor development, information was gathered on socioeconomic, demographic, and environmental characteristics, perinatal factors, morbidity, and feeding practices. The prescriptive approach taken is expected to provide a single international reference that represents the best description of physiological growth for all children under five years of age and to establish the breastfed infant as the normative model for growth and development.

Anthropometry↗

Evolution of the uses of ICD-9-CM coding: Medicare risk adjustment methodology for managed care plans.

The health information management (HIM) profession is expanding to new sites and perspectives. The implementation of Medicare managed care has brought changes not only by emphasis on management of the individual's medical care and the cost of that care, but also by creating new uses for coded data. This article examines the evolution of risk adjustment methods in Medicare Managed Care. The current choice for risk adjustment is the Principal Inpatient Diagnostic Cost Groups (PIP-DCG). This article explains the health plan's submission of encounter data and how HIM can play a valuable role in data capture and improvement in data quality and reimbursement.

Abstracting and Indexing↗