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10.1186/1472-6947-14-47 http://scihub22266oqcxt.onion/10.1186/1472-6947-14-47 C4055375!4055375!24903517     free     free     free Deprecated: Implicit conversion from float 235.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 235.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 235.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 235.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 235.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       BMC+Med+Inform+Decis+Mak 2014 ; 14 (ä): 47 Nephropedia Template TP {{tp|p=24903517|t=2014. How do physicians decide to treat: an empirical evaluation of the threshold model |pdf=|usr=}}{{24903517}} gab.com Text How do physicians decide to treat: an empirical evaluation of the threshold model JO: BMC Med Inform Decis Mak http://www.kidney.de/pget.php?&tw=1&pmid=24903517 #FOAvip Background: According to the threshold model, when faced with a decision under diagnostic uncertainty, physicians should administer treatment if the probability of disease is above a specified threshold and withhold treatment otherwise. The objectives of the present study are to a) evaluate if physicians act according to a threshold model, b) examine which of the existing threshold models [expected utility theory model (EUT), regret-based threshold model, or dual-processing theory] explains the physicians? decision-making best. Methods: A survey employing realistic clinical treatment vignettes for patients with pulmonary embolism and acute myeloid leukemia was administered to forty-one practicing physicians across different medical specialties. Participants were randomly assigned to the order of presentation of the case vignettes and re-randomized to the order of ?high? versus ?low? threshold case. The main outcome measure was the proportion of physicians who would or would not prescribe treatment in relation to perceived changes in threshold probability. Results: Fewer physicians choose to treat as the benefit/harms ratio decreased (i.e. the threshold increased) and more physicians administered treatment as the benefit/harms ratio increased (and the threshold decreased). When compared to the actual treatment recommendations, we found that the regret model was marginally superior to the EUT model [Odds ratio (OR)?=?1.49; 95% confidence interval (CI) 1.00 to 2.23; p?=?0.056]. The dual-processing model was statistically significantly superior to both EUT model [OR?=?1.75, 95% CI 1.67 to 4.08; p?<?0.001] and regret model [OR?=?2.61, 95% CI 1.11 to 2.77; p?=?0.018]. Conclusions: We provide the first empirical evidence that physicians? decision-making can be explained by the threshold model. Of the threshold models tested, the dual-processing theory of decision-making provides the best explanation for the observed empirical results. Twit Text FOAVip How do physicians decide to treat: an empirical evaluation of the threshold model ????BMC Med Inform Decis Mak http://www.kidney.de/pget.php?&tw=1&pmid=24903517 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=24903517 #FOAvip English Wikipedia <ref>{{Cite pmid|24903517}}</ref> How do physicians decide to treat: an empirical evaluation of the threshold model #MMPMID24903517 Djulbegovic B; Elqayam S; Reljic T; Hozo I; Miladinovic B; Tsalatsanis A; Kumar A; Beckstead J; Taylor S; Cannon-Bowers J BMC Med Inform Decis Mak 2014[]; 14 (ä): 47 PMID24903517show ga Background: According to the threshold model, when faced with a decision under diagnostic uncertainty, physicians should administer treatment if the probability of disease is above a specified threshold and withhold treatment otherwise. The objectives of the present study are to a) evaluate if physicians act according to a threshold model, b) examine which of the existing threshold models [expected utility theory model (EUT), regret-based threshold model, or dual-processing theory] explains the physicians? decision-making best. Methods: A survey employing realistic clinical treatment vignettes for patients with pulmonary embolism and acute myeloid leukemia was administered to forty-one practicing physicians across different medical specialties. Participants were randomly assigned to the order of presentation of the case vignettes and re-randomized to the order of ?high? versus ?low? threshold case. The main outcome measure was the proportion of physicians who would or would not prescribe treatment in relation to perceived changes in threshold probability. Results: Fewer physicians choose to treat as the benefit/harms ratio decreased (i.e. the threshold increased) and more physicians administered treatment as the benefit/harms ratio increased (and the threshold decreased). When compared to the actual treatment recommendations, we found that the regret model was marginally superior to the EUT model [Odds ratio (OR)?=?1.49; 95% confidence interval (CI) 1.00 to 2.23; p?=?0.056]. The dual-processing model was statistically significantly superior to both EUT model [OR?=?1.75, 95% CI 1.67 to 4.08; p? äHow do physicians decide to treat: an empirical evaluation of the thre(epmc).pdf DeepDyve Pubget Overpricing