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| Format: | Artículo científico |
| Language: | es |
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Universidad Autónoma de Bucaramanga
2007
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| Online Access: | https://www.redalyc.org/articulo.oa?id=71964099004 |
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| _version_ | 1866812534134145024 |
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| author | Gustavo Bergonzoli |
| author_facet | Gustavo Bergonzoli |
| contents | Measuring health inequalities over time Gustavo Bergonzoli Vanessa Bergonzoli Medicina Social territories Poisson regression Health determinants Health gap over time Evaluating public policies and social programs Background: several methodologies have been used to measure health inequalities. Most of them do so in a cross-sectional fashion, causing significant loss of information. None of them measure health inequalities in social territories over time. Methods: this article presents two approaches to measure health inequalities: one approach consists of a refinement of cross-sectional study, by using the analysis of variance (ANOVA) procedure to explore whether the gap between social territories is real or due to chance. Several adjustments were made to limit errors inevitably found in multiple comparisons. Polynomial procedures were then applied to identify and evaluate any trends. The second approach measures the health gap between social territories or strata (as defined in this study) over time using the Poisson regression. These approaches were applied using life expectancy and maternal mortality data from Venezuela. Results: a positive relationship between social tendenterritories and life expectancy was found, with a significant linear trend. The relation between maternal mortality and social territories was quadratic. The measurement of the gap between least developed social territory and the most developed territory showed a gap reduction from the first to the second decade, mainly because of an increase of maternal mortality in the more developed area, rather than a real improvement in the least developed. Conclusions: this study helps to clarify the impact that public policies and interventions have in reducing the health gap. Knowledge that a health gap between social territories can decrease without showing improvement in the least developed sector, is an important finding for monitoring and evaluating health interventions for improving living and health conditions in the population. [Bergonzoli G, Bergonzoli V. Measuring health inequalities over time. 2007 artículo científico 0123-7047 https://www.redalyc.org/articulo.oa?id=71964099004 es http://www.redalyc.org/revista.oa?id=719 MedUNAB application/pdf Universidad Autónoma de Bucaramanga MedUNAB (Colombia) Num.3 Vol.10 |
| format | Artículo científico |
| id | redalyc_71964099004 |
| language | es |
| publishDate | 2007 |
| publisher | Universidad Autónoma de Bucaramanga |
| spellingShingle | Measuring health inequalities over time Gustavo Bergonzoli Medicina Social territories Poisson regression Health determinants Health gap over time Evaluating public policies and social programs Measuring health inequalities over time Gustavo Bergonzoli Vanessa Bergonzoli Medicina Social territories Poisson regression Health determinants Health gap over time Evaluating public policies and social programs Background: several methodologies have been used to measure health inequalities. Most of them do so in a cross-sectional fashion, causing significant loss of information. None of them measure health inequalities in social territories over time. Methods: this article presents two approaches to measure health inequalities: one approach consists of a refinement of cross-sectional study, by using the analysis of variance (ANOVA) procedure to explore whether the gap between social territories is real or due to chance. Several adjustments were made to limit errors inevitably found in multiple comparisons. Polynomial procedures were then applied to identify and evaluate any trends. The second approach measures the health gap between social territories or strata (as defined in this study) over time using the Poisson regression. These approaches were applied using life expectancy and maternal mortality data from Venezuela. Results: a positive relationship between social tendenterritories and life expectancy was found, with a significant linear trend. The relation between maternal mortality and social territories was quadratic. The measurement of the gap between least developed social territory and the most developed territory showed a gap reduction from the first to the second decade, mainly because of an increase of maternal mortality in the more developed area, rather than a real improvement in the least developed. Conclusions: this study helps to clarify the impact that public policies and interventions have in reducing the health gap. Knowledge that a health gap between social territories can decrease without showing improvement in the least developed sector, is an important finding for monitoring and evaluating health interventions for improving living and health conditions in the population. [Bergonzoli G, Bergonzoli V. Measuring health inequalities over time. 2007 artículo científico 0123-7047 https://www.redalyc.org/articulo.oa?id=71964099004 es http://www.redalyc.org/revista.oa?id=719 MedUNAB application/pdf Universidad Autónoma de Bucaramanga MedUNAB (Colombia) Num.3 Vol.10 |
| title | Measuring health inequalities over time |
| topic | Medicina Social territories Poisson regression Health determinants Health gap over time Evaluating public policies and social programs |
| url | https://www.redalyc.org/articulo.oa?id=71964099004 |