The reported prevalence of overactive bladder has varied widely in earlier studies due to differences in symptom assessment, study population, data collection, and definition of overactive bladder including exclusion criteria.
Few studies have had the opportunity to link a large population data collection to temporal data in terms of the use of services such as hospitals.
From each included study we obtained information on author, country, study type, study population, data collection and ascertainment method(s), age of study subjects, and whether the estimate was point or period prevalence.
The selected themes were then translated into quality indicators (i.e. with standardized specifications detailing the eligible population, data collection procedures, numerator and denominator), using the quality indicators found in the systematic literature review in the first phase.
8 9 When reporting intervention studies of this type in the scientific literature, the authors are normally required to focus on the descriptions of the sample population, data collection procedures, results, statistical analyses and the conclusions obtained from the studies.
The following data will be systematically extracted, by independent pairs of reviewers, under the following main headings: methods, population, data collection, data synthesis (themes and supporting quotations), results, discussion, conclusions and recommendations.
Compared to other population data collections, although the 45 and Up Study population is better educated and more likely to be married and employed, groups with other characteristics are well represented in the sample.
Such claims inevitably ignore the effect of differences in childbearing populations, data collection methods, and inclusion criteria.
This was not surprising, given the differences in the characteristics of the populations, data collection methods, ethnic populations, sample size, and sources of the cases.
Heterogeneity of populations, data collection methods, and outcomes precluded meta-analysis of data, and results were analyzed qualitatively and reported in a summary table.
Sentinel surveillance is a strategy used to sample timely data in a relatively inexpensive manner rather than collect information on the general population, when population-based data collection is unfeasible in a timely or cost-effective manner [ 2].
