A Systematic Review of Development Programs Designed to Address Leadership in Academic Health Center Faculty

Tiffany A Moore Simas1, Joanna M Cain, Robert J Milner

  • 1Dr. Moore Simas is Associate Professor, Departments of Obstetrics & Gynecology, Pediatrics, Psychiatry and Quantitative Health Sciences, University of Massachusetts Medical School, Worcester, MA. Dr. Cain is Professor of Obstetrics & Gynecology and Director of Talent Management, Office of Faculty Affairs, University of Massachusetts Medical School, Worcester, MA. Dr. Milner is Professor of Neurology and Associate Vice Provost for Professional Development, Office of Faculty Affairs, University of Massachusetts Medical School, Worcester, MA. Ms. Meacham is Education and Outreach Coordinator with the National Networks of Libraries of Medicine, New England Region and Lamar Soutter Library, University of Massachusetts Medical School, Worcester, MA. Ms. Bannon is a medical student, University of Massachusetts Medical School, Worcester, MA. Mr. Levin is the Head of Education and Clinical Services, Lamar Soutter Library and Assistant Professor, Department of Family Medicine and Community Health, University of Massachusetts Medical School, Worcester, MA, and Francis A. Countway Library of Medicine, Harvard Medical School, Boston, MA. Ms. Amir is a medical student, University of Massachusetts Medical School, Worcester, MA. Ms. Leung is a biostatistician, Department of Obstetrics and Gynecology, University of Massachusetts Medical School, Worcester, MA. Dr. Ockene is Professor of Medicine and Associate Vice Provost for Gender and Equity, Office of Faculty Affairs, University of Massachusetts Medical School, Worcester, MA. Dr. Thorndyke is Professor of Medicine and Vice Provost of Faculty Affairs, Office of Faculty Affairs, University of Massachusetts Medical School, Worcester, MA.

Abstract

Related Concept Videos

Review and Preview01:10

Review and Preview

In statistics, several tools are used to interpret the data. Measures of central tendency represent the characteristics of the data, such as mean, median, and mode. Additionally, measures of variance like standard deviation and range are used to find the spread of data from the mean. Relative standing measures the distance between data locations. Commonly used measures of relative standings are percentile, z score, and quartiles.
Percentiles are a type of fractile that partition data into...
8.4K
Review and Preview01:13

Review and Preview

Data are individual items of information obtained from a population or sample. Data may be classified as qualitative (categorical), quantitative continuous, or quantitative discrete. Because it is not practical to measure the entire population in a study, researchers use samples to represent the population. A random sample is a representative group from the population chosen by using a method that gives each individual in the population an equal chance of being included in the sample. Random...
11.3K
Strategies for Assessing and Addressing Confounding01:25

Strategies for Assessing and Addressing Confounding

Confounding is a critical issue in epidemiological studies, often leading to misleading conclusions about associations between exposures and outcomes. It occurs when the relationship between the exposure and the outcome is mixed with the effects of other factors that influence the outcome. Given that, addressing confounding is of high importance for drawing accurate inferences in research.
Confounding can be addressed at both the design phase of a study and through analytical methods after data...
398
Lattice Centering and Coordination Number02:33

Lattice Centering and Coordination Number

The structure of a crystalline solid, whether a metal or not, is best described by considering its simplest repeating unit, which is referred to as its unit cell. The unit cell consists of lattice points that represent the locations of atoms or ions. The entire structure then consists of this unit cell repeating in three dimensions. The three different types of unit cells present in the cubic lattice are illustrated in Figure 1.
Types of Unit Cells
Imagine taking a large number of identical...
11.6K
Random and Systematic Errors01:20

Random and Systematic Errors

Scientists always try their best to record measurements with the utmost accuracy and precision. However, sometimes errors do occur. These errors can be random or systematic. Random errors are observed due to the inconsistency or fluctuation in the measurement process, or variations in the quantity itself that is being measured. Such errors fluctuate from being greater than or less than the true value in repeated measurements. Consider a scientist measuring the length of an earthworm using a...
14.9K
Center of Gravity00:58

Center of Gravity

The center of gravity (COG) of an object is the point where the object's total weight is considered to be concentrated. Knowing the location of the center of gravity is useful when predicting the behavior of a moving object or designing static structures. In a uniform gravitational field, the center of gravity is similar to the center of mass (COM); yet, these two points can be positioned differently. For example, the Moon's center of mass lies very close to its geometric center, but...
6.7K