Evaluation of a child safety program based on the WHO safe community model. Controlled evaluation of a community based injury prevention program in Australia. Evaluation of an inter-organizational prevention program against injuries among the elderly in a WHO Safe Community. Quantifying the effect of a community-based injury prevention program in Queensland using a generalized estimating equation approach. A controlled evaluation of a community injury prevention project in two Greek islands. Impact of social standing on injury prevention in a World Health Organization Safe Community--intervention outcome by household employment contract.
To evaluate the outcome of the World Health Organization (WHO) Safe Community model with respect to child injuries.
                A population based quasiexperimental design was used. Cross sectional pre-implementation and post-implementation data were collected in intervention (Motala municipality) and control (Mjölby municipality) areas, both in Ostergötland county, Sweden.
                The total relative risk of child injury in the intervention community decreased more (odds ratio 0.74; 95% confidence interval (CI) 0.68 to 0.81) than in a control community exposed only to national level injury prevention programs (0.93; 95% CI 0.82 to 1.05). The relative risk of moderately (abbreviated injury scale (AIS) 2) severe injury in the study area was reduced to almost a half (odds ratio 0.49; 95% Cl 0.41 to 0.57), whereas the risk of minor (AIS 1) injuries decreased only slightly (odds ratio 0.89; 95% CI 0.80 to 0.99). The risk of severe or fatal (AIS 3-6) injuries remained constant.
                After introduction of an injury prevention program based on the WHO Safe Community model, the relative risk for child injury in the intervention community decreased significantly more than in a control community exposed only to national injury prevention programs. To evaluate the effects of a community based, all age, all injury prevention program, the Safe Living Program, on injury risk and injury rates.
                A quasiexperimental population based evaluation using an intervention and comparison community design.
                The intervention community (Shire of Bulla, n = 37,257) is an outer metropolitan area of Melbourne, Australia. The demographically matched comparison community (Shire of Melton, n=33,592) is located nearby.
                The Safe Living Program in the Shire of Bulla targeted injury reduction in all settings with a focus on high risk groups. Strategies included program publicity, education and training, injury hazard reduction, and environmental change. Baseline and follow up measures of program reach, risk factors, and injury rates in both communities were used to evaluate program process, impact, and outcome.
                Increase in program awareness was moderate and similar to other community based programs. The program achieved injury hazard reduction on the road, in schools, and, to a more limited extent, in the home. Other changes in injury risk factors could not necessarily be attributed to the program as similar changes were observed in the comparison community. No significant changes were found in rates of injury deaths, hospitalisations, or emergency department presentations in the Shire of Bulla after six years. Self reported household injuries, mostly minor, were reduced in the intervention community, but had been higher at program launch than in the comparison community.
                The Safe Living Program was unable to replicate the significant reductions in injuries reported in other community based interventions. Replication of apparently successful community based injury prevention programs in different settings and populations requires evidence based interventions, sustained and effective program penetration, reliable data systems to measure change, at least one control community, and sufficient budget and time for effects to be observable. The aim of the study was to evaluate the outcome of a participatory community-based prevention program against injuries among the elderly. A population-based quasi-experimental design was used with pre- and post-implementation measurements in an intervention and a control area. The program was based on cross-sectoral participation in detecting and taking action against injuries among the elderly. Change in the relative risk of injury was estimated by the odds ratio. Morbidity in moderately (AIS 2) severe injury in the study area was reduced from 46 per 1000 population years to 25 per 1000 population years (odds ratio 0.55; 95% confidence interval 0.46-0.65), while the minor (AIS 1) injuries increased (odds ratio 1.55; 95% confidence interval 1.21-1.91). The risk of severe or fatal (AIS 3-6) injuries remained constant. In the study area, only a slight decrease in the total morbidity rate was observed (odds ratio 0.87; 95% confidence interval 0.77-0.99). In the control area, there was no evident change in the total morbidity rates. Falls decreased or showed a tendency to decrease in the age groups 65 to 79-y-old in the study area, while they increased in the older age group. The results indicate that no sharp boundaries should be drawn between safety education, physical conditioning, environmental adjustments and secondary prevention measures when planning safety promotion among the elderly. Future studies should address these issues along with the methodological complexity associated with assessment of participatory community-based safety promotion programs. To develop a generalized estimating equation (GEE) model of childhood injury rates to quantify the effectiveness of a community-based injury prevention program implemented in 2 communities in Australia, in order to contribute to the discussion of community-based injury prevention program evaluation.
                An ecological study was conducted comparing injury rates in two intervention communities in rural and remote Queensland, Australia, with those of 16 control regions. A model of childhood injury was built using hospitalization injury rate data from 1 July 1991 to 30 June 2005 and 16 social variables. The model was built using GEE analysis and was used to estimate parameters and to test the effectiveness of the intervention.
                When social variables were controlled for, the intervention was associated with a decrease of 0.09 injuries/10,000 children aged 0-4 years (95% CI -0.29 to 0.11) in logarithmically transformed injury rates; however, this decrease was not significant (p = 0.36).
                The evaluation methods proposed in this study provide a way of determining the effectiveness of a community-based injury prevention program while considering the effect of baseline differences and secular changes in social variables. During the 20-month period September 1993 to April 1995, a health education injury prevention programme focusing on home injuries among the young (< or = 18 years old) and elderly (> or = 65 years old) on the Greek island of Naxos was undertaken, its effectiveness was evaluated by comparing the subsequent injury experience in sentinel population groups in Naxos as well as in Spetses, another island of similar sociodemographic profile, where no such intervention programme had been formally implemented.
                On the island-of Naxos an injury prevention campaign was initially undertaken involving virtually all opinion leaders and implemented through lectures, workshops and publicity in the local media. The main intervention focused on 172 households on the island of Naxos and was done by trained local collaborators who visited each household weekly to provide injury prevention advice and assess home safety. Similar visits were done by untrained collaborators in 177 households on the island of Spetses in order to assure collaboration of household members in the comparative evaluation stage of the programme. The process evaluation was based on ascertained changes of safety features and attitudes in the participating households, whereas the outcome evaluation was based on the incidence of injuries among members of the participating households in the two islands over a period of 8.5 months (255 days).
                On the intervention island of Naxos there were statistically significant improvements with respect to 11 of the 28 examined variables, whereas on the island of Spetses, such improvement was only noted for one variable. The age-adjusted incidence rate ratio of injuries overall among the target groups, contrasting the intervention and the control households was 0.85 with 90% confidence interval (CI): 0.69-1.05. With respect to home accidents the corresponding ratio was 0.79 with 90% CI: 0.60-1.04.
                An intensive and focused injury prevention intervention had only modest success when injuries themselves were the outcome variable. Although social inequality in health has been an argument for community-based injury prevention programmes, intervention outcomes with regard to differences in social standing have not been analysed. The objective of this study was to investigate rates of injuries treated in health-care among members of households at different levels of labour market integration before and after the implementation of a WHO Safe Community programme.
                A quasi-experimental design was used with pre- and post-implementation data collection covering the total populations <65 years of age during one year in the programme implementation municipality (population 41 000) and in a control municipality (population 26 000). Changes in injury rates were studied using prospective registration of all acute care episodes with regard to social standing in both areas during the study periods.
                Male members of households categorized as not vocationally active displayed the highest pre-intervention injury rates. Also after the intervention, males in households classified as not vocationally active displayed notably elevated injury rates in both the control and study areas. Households in the study area in which the significant member was employed showed a post-intervention decrease in injury rate among both men (P < 0.001) and women (P < 0.01). No statistically significant change was observed in households in which the significant member was self-employed or not vocationally active. In the control area, only an aggregate-level decrease (P < 0.05) among members of households in which the significant member was employed was observed.
                The study displayed areas for improvement in the civic network-based WHO Safe Community model. Even though members of non-vocationally active households, in particular men, were at higher pre-intervention injury risk, they were not affected by the interventions. This fact has to be addressed when planning future community-based injury prevention programmes.
There is marked inconsistency in the results of the studies included in this systematic review. While the frequency of injury in some study communities did reduce following their designation as a WHO Safe Community, there remains insufficient evidence from which to draw definitive conclusions regarding the effectiveness of the model.
The lack of consistency in results may be due to the heterogeneity of the approaches to implementing the model, varying efficacy of activities and strategies, varying intensity of implementation and methodological limitations in evaluations. While all communities included in the review fulfilled the WHO Safe Community criteria, these criteria were too general to prescribe a standardised programme of activity or evaluation methodology.
Adequate documentation describing how various Safe Communities implemented the model was limited, making it unclear which factors affected success. Where a reduction in injury rates was not reported, lack of information makes it difficult to distinguish whether this was due to problems with the model or with the way in which it was implemented.