Given a passage, construct a question on the basis of the information present in the passage. Construct the question in such a way that (i) it is unambiguous, (ii) it is answerable from the passage, (iii) its answer is unique (iv) it answer uses text phrases from the passage. Avoid creating questions that (i) can't be answered correctly without actually understanding the passage and (ii) uses the same words or phrases given in the passage.

The purpose of this study was to determine whether four types of professionalism deficiencies in medical students identified during a first-year course on doctor-patient relationships might predict poor performance in third-year clerkships.', 'Preceptors identified students who had deficiencies in interviewing patients: extreme shyness, poor process skills, paternalism, or a negative attitude toward interviewing. Deficient students were matched by academic ability to a control group. Performance on third-year clerkships was compared.', 'Students with paternalistic behavior or negative attitudes had significantly lower third-year grades.
Do professionalism deficiencies in a first-quarter doctor-patient relationship course predict poor clinical performance in medical school?

It is common in public health and epidemiology that the outcome of interest is counts of events occurrence. Analysing these data using classical linear models is mostly inappropriate, even after transformation of outcome variables due to overdispersion. Zero-adjusted mixture count models such as zero-inflated and hurdle count models are applied to count data when over-dispersion and excess zeros exist. Main objective of the current paper is to apply such models to analyse risk factors associated with human helminths (S. haematobium) particularly in a case where there's a high proportion of zero counts.", 'The data were collected during a community-based randomised control trial assessing the impact of mass drug administration (MDA) with praziquantel in Malawi, and a school-based cross sectional epidemiology survey in Zambia. Count data models including traditional (Poisson and negative binomial) models, zero modified models (zero inflated Poisson and zero inflated negative binomial) and hurdle models (Poisson logit hurdle and negative binomial logit hurdle) were fitted and compared.', 'Using Akaike information criteria (AIC), the negative binomial logit hurdle (NBLH) and zero inflated negative binomial (ZINB) showed best performance in both datasets. With regards to zero count capturing, these models performed better than other models.
Do zero adjusted models with applications to analysing helminths count data?

To determine whether a common peer assessment instrument can assess competencies across internal medicine, pediatrics, and psychiatry specialties.', "A common 36 item peer survey assessed psychiatry (n = 101), pediatrics (n = 100), and internal medicine (n = 103) specialists. Cronbach's alpha and generalizability analysis were used to assess reliability and factor analysis to address validity.", "A total of 2,306 (94.8% response rate) surveys were analyzed. The Cronbach's alpha coefficient was.98. The generalizabililty coefficient (mean of 7.6 raters) produced an Ep(2) =.83. Four factors emerged with a similar pattern of relative importance for pediatricians and internal medicine specialists whose first factor was patient management. Communication was the first factor for psychiatrists.

Do an examination of the appropriateness of using a common peer assessment instrument to assess physician skills across specialties?

