Sentence examples for after decision making from inspiring English sources

Our aim was to analyze the cancer statistics of our patients who underwent surgery in the time period of 2012-2016.. Methods: In the time period of 2012-2016 a total number of 636 patients (473 f, 166 m, age range 12-92y, mediageage 52 + 13,83y) were sent after decision making in thyroid board, consisted of nuclear medicine, surgery, pathology and ear-nose-throat (ENT) specialists.

Moreover, effects were measured immediately after decision making, but it is possible that a DA has more effect on DC and preparation for decision making sometime after the decision is made [ 13].

After decision-making, there were significant increases (P < 0.05) in all aspects of worry and the desire for flexibility.

In some studies preferences are assessed prospectively, that is before decision-making takes place, while in other studies the patient preferences are measured retrospectively, that is after decision-making took place.

For example, for data collection on SDM, participants were instructed to rate physician and conjoint behaviour during the decision-making process, while for decisional conflict, they were asked for their experiences after decision-making.

Furthermore, the majority of existing tools focus on evaluating the design alternatives after the decision making, and largely overlook the issue of informing the design before the decision making.

Let IPrsc be the increased profit of whole SC after joint decision making: {text{IPr}}_{text{sc}} = Pr_{text{sc}} left( {Q_{text{sc}}^,p_{text{sc}}^,n_{text{sc}}^ right) - left( {Pr_{text{r}} left( {Q_{text{r}}^,p_{text{r}}^ right) + Pr_{text{s}} left( {n_{text{s}}^ right)} right) (18).

After defining country decision making, we investigate the various roles for PDPs, how those roles are prioritized geographically, the partnerships required, and the specific approaches used by a number of PDPs.

Sub-optimal solutions are usually discarded and do not contribute to decision making after optimization runs.

Risk prediction models that incorporate biomarkers and clinicopathologic variables may be used to improve decision making after radical prostatectomy (RP).

However, limited evidence is available to guide clinical decision making after initial treatment failure.