Education Research: Difficult conversations in neurology: Lessons learned from medical students

Monica E Lemmon1, Charlene Gamaldo2, Rachel Marie E Salas2

  • 1From the Department of Pediatrics (M.E.L.), Duke University Medical Center, Durham, NC; Departments of Neurology (M.E.L., C.G., R.M.E.S., T.E.C., R.E.S.) and Pediatrics (R.D.B.), Johns Hopkins Medicine, Baltimore, MD; Duke-Margolis Center for Health Policy (M.E.L.), Duke University, Durham, NC; Department of Medicine (A.S.), Icahn School of Medicine at Mount Sinai, New York, NY; Johns Hopkins Berman Institute of Bioethics (R.D.B.), Baltimore, MD; and Department of Neurology (R.E.S.), Wake Forest School of Medicine, Winston-Salem, NC. monica.lemmon@duke.edu.

Neurology
|January 10, 2018
PubMed
Summary

Medical students frequently encounter difficult conversations in neurology clerkships, but observing them doesn't improve preparedness. Structured training, including pre-conversation planning and debriefing, is needed to enhance communication skills.

Related Concept Videos

Gene Conversion02:08

Gene Conversion

Other than maintaining genome stability via DNA repair, homologous recombination plays an important role in diversifying the genome. In fact, the recombination of sequences forms the molecular basis of genomic evolution. Random and non-random permutations of genomic sequences create a library of new amalgamated sequences. These newly formed genomes can determine the fitness and survival of cells. In bacteria, homologous and non-homologous types of recombination lead to the evolution of new...
10.7K
Gene Conversion02:08

Gene Conversion

3.1K
Student t Distribution01:31

Student t Distribution

The population standard deviation is rarely known in many day-to-day examples of statistics. When the sample sizes are large, it is easy to estimate the population standard deviation using a confidence interval, which provides results close enough to the original value. However, statisticians ran into problems when the sample size was small. A small sample size caused inaccuracies in the confidence interval.
The Student t distribution was developed by William S. Goset (1876–1937) of the...
14.3K
Microsoft Excel: Student's t-Test01:25

Microsoft Excel: Student's t-Test

Student's t-test in Microsoft Excel is a statistical method used to compare the means of two groups to determine if they are significantly different from each other. It's commonly used to evaluate hypotheses, such as testing whether a treatment has an effect compared to a control group. Excel provides built-in functions to perform t-tests, making it accessible for users needing to conduct basic statistical analysis.
To conduct a t-test in Excel, use the T.TEST function or the "Data...
1.7K
Conversion of Units01:36

Conversion of Units

Sometimes, there is a need to convert from one unit to another one. For instance, reading a cookbook in which quantities are expressed in units of liters or ounces may require conversion of quantities to cups. Or, when looking up directions on how to get to a location, we may be interested to know how many miles we are going to walk. In this case, we would have to convert units of feet or meters to miles.
The first step in the unit conversion is to list the given units and the units required...
37.3K
Comparing Experimental Results: Student's t-Test01:09

Comparing Experimental Results: Student's t-Test

The t-test is a statistical method used to compare the sample mean with a population mean or compare two means from two data sets. The test statistic is calculated from the standard deviation, mean, and number of measurements in the data set at a selected confidence interval and then compared to a table of critical values at this confidence level. If the test statistic is smaller than the critical value, the null hypothesis is accepted. In this case, we state that the difference between the...
6.1K