Abstract
Objective
This paper describes the population-based analyses of measures of child health status used throughout this supplement.
Methods
The articles in this supplement examine health-related data for children 0 to 19 years. Most analyses cover the period from April 1, 1994 to March 31, 1999. Administrative and survey data were used to assess child health and well-being. For regional comparisons, data were broken down by subregions of Manitoba, called Regional Health Authorities (RHAs), and neighbourhoods of Winnipeg, called Winnipeg Community Areas (Winnipeg CAs).
Methods
The premature mortality rate (PMR) was used as a proxy of the overall health of the population. All graphs comparing rates among RHAs and Winnipeg CAs rank these subregions in the same order, from lowest to highest PMR. Income was operationalized by dividing the province’s population into urban and rural quintiles based upon household income. Other aspects of methodology are discussed.
Results
Results are presented in the articles that follow this one.
Conclusion
The relationships between key child health indicators and geographic and socioeconomic factors for Manitoba children are discussed in the articles following this one.
Résumé
Objectif
Présenter les études représentatives sur l’état de santé des enfants dont il est question dans ce supplément.
Méthode
les articles du supplément portent sur la santé des enfants de 0 à 19 ans. La plupart des études ont été menées entre le 1er avril 1994 et le 31 mars 1999. La santé et le bien-être d’enfants ont été évalués à l’aide de données administratives et d’enquêtes. Pour effectuer des comparaisons régionales, on a ventilé ces données selon les sous-régions du Manitoba, appelées offices régionaux de la santé (ORS), et les quartiers de Winnipeg, appelés communautés de la région de Winnipeg (CR de Winnipeg).
Méthode
Le taux de mortalité prématurée (TMP) a servi au calcul approximatif de l’état de santé global de la population. Tous les graphiques qui comparent les taux respectifs des ORS et des CR de Winnipeg classent ces sous-régions dans le même ordre, c’est-à-dire du TMP le plus faible au plus élevé. On a opérationnalisé le revenu en divisant la population de la province en quintiles urbains et ruraux, déterminés selon le revenu des ménages. D’autres aspects de la méthode sont également expliqués.
Résultats
les résultats sont présentés dans les articles qui suivent.
Conclusion
les liens entre les indicateurs clés de la santé des enfants et les facteurs géographiques et socio-économiques propres aux enfants manitobains sont expliqués dans les articles suivants.
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Formerly from MCHP
Formerly of the Manitoba Centre for Health Policy
The full report “Assessing the Health of Children in Manitoba: A Population-Based Study” on which this article is based is available from the Manitoba Centre for Health Policy at the above address or online at: https://doi.org/www.umanitoba.ca/centres/mchp/reports.htm
Sources of support: This work was supported as part of a project on child health in Manitoba, one of several projects undertaken each year by the Manitoba Centre for Health Policy under contract to Manitoba Health. The results and conclusions are those of the authors and no official endorsement by Manitoba Health was intended or should be inferred. Dr. Brownell was also supported by a New Investigator Award from the Canadian Institutes of Health Research and Dr. Martens was supported by a Community Alliances for Health Research Program grant from the Canadian Institutes of Health Research.
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Brownell, M., Mayer, T., Martens, P.J. et al. Using a Population-based Health Information System to Study Child Health. Can J Public Health 93 (Suppl 2), S9–S14 (2002). https://doi.org/10.1007/BF03403612
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DOI: https://doi.org/10.1007/BF03403612