PubMed Health⌕ Search

PubMed · 9057937

A multifaceted approach to changing handwashing behavior.

Abstract

BACKGROUND: Few interventions to influence handwashing have had measurable effects. This prospective quasi-experimental study was designed to address predisposing, enabling, and reinforcing factors to improve frequency of handwashing. METHODS: Over a 12-month time period, a multifaceted intervention including focus group sessions, installation of automated sinks, and feedback to staff on handwashing frequency was implemented in one intensive care unit; a second unit served as a control. Dependent variables observed were handwashing frequency and self-reported practices and opinions about handwashing. Study phases included baseline, three phases of about 2 months each in duration in which sink automation was incrementally increased, and follow-up 2 months after intervention. RESULTS: During 301 hours of observation, 2624 handwashings were recorded. Proportion of times hands were washed varied by indication, ranging from 38% before invasive procedures to 86% for dirty-to-clean procedures (p < 0.00001). Although there were some significant differences between experimental and control units in handwashing during the study, these differences had returned to baseline by the 2-month follow-up. There were no significant differences in self-reported practices and opinions from before to after intervention nor between units. CONCLUSIONS: Intensive intervention, including feedback, education, and increased sink automation, had minimal long-term effect on handwashing frequency.

Explore related subjects

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

E L Larson, J L Bryan, L M Adler, C Blane. 1997. A multifaceted approach to changing handwashing behavior.. https://doi.org/10.1016/s0196-6553(97)90046-8

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related citations

Molecular heterochrony and the evolution of sociality in bumblebees (Bombus terrestris).

Sibling care is a hallmark of social insects, but its evolution remains challenging to explain at the molecular level. The hypothesis that sibling care evolved from ancestral maternal care in primitively eusocial insects has been elaborated to involve heterochronic changes in gene expression. This elaboration leads to the prediction that workers in these species will show patterns of gene expression more similar to foundress queens, who express maternal care behaviour, than to established queens engaged solely in reproductive behaviour. We tested this idea in bumblebees (Bombus terrestris) using a microarray platform with approximately 4500 genes. Unlike the wasp Polistes metricus, in which support for the above prediction has been obtained, we found that patterns of brain gene expression in foundress and queen bumblebees were more similar to each other than to workers. Comparisons of differentially expressed genes derived from this study and gene lists from microarray studies in Polistes and the honeybee Apis mellifera yielded a shared set of genes involved in the regulation of related social behaviours across independent eusocial lineages. Together, these results suggest that multiple independent evolutions of eusociality in the insects might have involved different evolutionary routes, but nevertheless involved some similarities at the molecular level.

Analysis of Variance↗

Confidence intervals for the standardized effect arising in the comparison of two normal populations.

Confidence intervals for a standardized effect are derived after stabilizing the variance of the Welch t-statistic. Simulation studies demonstrate the viability of the resulting intervals for a wide range of parameter values and sample sizes as small as five. The methodology is extended to the combination of results from several studies, so as to obtain a confidence interval for a representative standardized effect for all the studies. The methods are illustrated on a recent meta-analytic study of systolic blood pressure reduction during a weight reducing regime, as well as the classical Mumford data on psychological intervention and hospital length of stay.

Analysis of Variance↗