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Evaluation of Community- Based Injury Prevention Programs PhD course febr 2007 Leif Svanström.

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Presentation on theme: "Evaluation of Community- Based Injury Prevention Programs PhD course febr 2007 Leif Svanström."— Presentation transcript:

1 Evaluation of Community- Based Injury Prevention Programs PhD course febr 2007 Leif Svanström

2 Evaluation of Community-Based Injury Prevention Programs First example Long-term evaluation of Vaeroy

3 Vaeroy, Norway

4 A lot of photos excluded!

5 The Role of the Health Sector !

6 VAEROY, NORWAY 1982-83 30% Reduction 1982-9058% Reduction

7 PhD course jan- febr 2008 Vaeroy Multifactorial injury prevention programme started 1981 in a population of 1.000 population and lasted to 1987. Method:Registration 1970-2001 Results: from 17.7% to 9.7% during 1981-7 and 96% by the year 2001 Conclusion: Community program with defined aims will lead to a considerable and long-lasting reduction of injuries.

8 Evaluation of Community- Based Injury Prevention Programs Second example Lidköping Accid Prev Programme- children

9 Lidköping, Sweden

10 PhD course jan- febr 2008 Lidköping Children Multifactorial injury prevention programme started 1984 in a population of about 30,000 population and evaluation lasted to 1991. Method:Surveillance hospital in-patient data 1983 to 1991 Results: Annual decrease of 2.4% for boys and 2.1% for girls. Smaller decrease in control areas. Conclusion: Community program with defined aims will lead to a considerable reduction of injuries.

11 Evaluation of Community- Based Injury Prevention Programs Third example Helmet Wearing Programme- Sweden

12 Evaluation of Community- Based Injury Prevention Programs 4th example Intra-Country Differences in Child Bicycle- related Injuries in Sweden?

13 PhD course jan- febr 2008 Intra-Country Differences Analyze differences in trend of childhood bicycle-related in Sweden. Method:Surveillance hospital in-patient data 1987 to 1996. Children 0-14 years.Statistical method with both linear and quadratic modelling. Results: No differences South-North, except for children 7- 14 years. Substantial differences urban/rural areas. Conclusion: This method gives a better understanding of time trends than the traditional linear regression model only.


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