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The intervention rests on strong evidence (updated published model of screening outcomes incorporating local data) including extensive qualitative research.
* p <.05; ** p <.01; *** p <.001 A model of screening intentions was specified in which invitation type predicted knowledge, which predicted attitudes, which predicted strength of intentions.
One of the models we will specifically explore is a sequential model of screening for pre-eclampsia, with MetTest at 15 weeks gestation followed by ProTest at 20 weeks.
The quantitative evidence presented is based on an updated version of our published model of screening outcomes 43 using effect estimates from a meta-analysis of randomised controlled trials, 10 adjusted to reflect screening attendance rather than invitation, and applied to current Australian data.
Hence, we decided to compare computerised screening involving patients receiving immediate personalised feedback regarding resources available to address their concerns, against the personalised triage model which was most effective in the previous trial, in order to determine the most efficacious model of screening.
** Positive predictive value of a screening mammogram, which arithmetically equals the cancer detection rate/recall rate.[ 26] We have constructed a decision model of screening mammography using population-based parameters that allows reasonable prediction of baseline primary events and secondary performance measures.
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Does it make new models of screening cost-effective?
Also, most models of screening in post-vaccination settings relied on a static infection structure.
This will allow the calculation of costs of implementation of different models of screening and brief intervention.
This will allow the calculation of costs related to implementation of different models of screening and brief intervention.
Similarly to models of screening interventions alone, the models used for post-vaccination analyses were mainly static (32/35), and deterministic aggregate (19/35).
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