ArticleHealth care management science2003
Predicting attendance for breast screening using routinely collected data.
Article in Health care management science, 2003. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
1 citing paper in PubMed.
- Socioeconomic deprivation, travel distance, location of service, and uptake of breast cancer screening in North Derbyshire, UK.Journal of epidemiology and community health · 2006Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The aim of this paper is to predict attendance if the age range for routine invitation to breast screening were to be extended. The response to the most recent screening invitation is modelled for women eligible for screening if the age range were extended. The independent variables include (i) the woman's characteristics: her screening history; the deprivation score of the area she lives in and (ii) the characteristics of the screening: whether the screening took place in a mobile van or at a static site; and time of the year. The predictive ability of the regression model is tested by goodness of fit measures and by predicting attendance for a holdout sample of the data and for women who participated in a demonstration project. The modelling of attendance is quite successful in that most hypothesised variables have the expected sign. Moreover, the predictive ability of the model is satisfactory in terms of goodness of fit statistics and in terms of accuracy of predictions for a holdout sample. The model predicts less well for the demonstration project possibly because it is less representative of usual screening practice.
Indexed as
Identifiers
14686629What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.