Reducing the take-home pathway of pesticide exposure: behavioral outcomes from the Para Niños Saludables study.
ABSTRACT To evaluate the effectiveness of a community intervention in promoting adoption of behaviors to reduce the take-home pathway of pesticide exposure in farmworker households.
Using two cross-sectional samples of farmworker households in 11 intervention and 12 comparison communities in Washington State, we examined whether differences over time in reported pesticide safety practices varied by community intervention status.
Pesticide safety practices increased in both intervention and comparison communities over time. Changes were significantly greater in intervention communities for removing work shoes before entering the home (P = 0.003) and marginally significantly greater for changing out of work clothes within 1 hour of arriving home (P = 0.05).
The intervention was associated with modest effects in certain behaviors among farmworkers. Further research is needed to identify successful strategies for reducing the take-home pathway of pesticide exposure.
Article: Accurate data collection for head injury monitoring studies: a data validation methodology.[show abstract] [hide abstract]
ABSTRACT: BrainIT is a multi centre, European project, to collect high quality continuous data from severely head injured patients using a previously defined  core data set. This includes minute-by-minute physiological data and simultaneous treatment and management information. It is crucial that the data is correctly collected and validated. Minute-by-minute physiological monitoring data is collected from the bedside monitors. Demographic and clinical information, intensive care management and secondary insult management data, are collected using a handheld computer. Data is transferred from the handheld device to a local computer where it is reviewed and anonymised before being sent electronically, with the physiological data, to the central database in Glasgow. Automated computer tools highlight missing or ambiguous data. A request is then sent to the contributing centre where the data is amended and returned to Glasgow. Of the required data elements 20% are randomly selected for validation against original documentation along with the actual number of specific episodic events during a known period. This will determine accuracy and the percentage of missing data for each record. Advances in patient care require an improved evidence base. For accurate, consistent and repeatable data collection, robust mechanisms are required which should enhance the reliability of clinical trials, assessment of management protocols and equipment evaluations.Acta neurochirurgica. Supplement 02/2005; 95:39-41.