1
University of Dundee, School of Medicine, Dundee, United States
2
Department of Neurology, Ninewells Hospital and Medical School, School of Medicine , Dundee, United Kingdom
Corresponding author details:
JI O’Riordan
Department of Neurology
Ninewells Hospital and Medical School University of Dundee
Dundee,United Kingdom
Copyright:
© 2018 O’Riordan JI, et al. This
is an open-access article distributed under the
terms of the Creative Commons Attribution 4.0
international License, which permits unrestricted
use, distribution and reproduction in any
medium, provided the original author and source
are credited.
Needs-specific goal setting is a key tool used in high-performing organizations, such asworld-class athletes and professionals, to maximize performance and the probability of achieving a desired goal or success criteria [1]. As with elite athletes, medical students have a huge volume of components to internalize and perfect to perform clinical procedures and examinations to a proficient standard. An emerging area of professional career development is the use of goal-setting using computer software [2,3]. This project investigates the potential benefits of implementing of goal setting software in the clinical skills setting to increase medical students’ performance in Objective Structured Clinical Examinations (OSCEs).
Goal setting aids the identification of components that underpin success in a given skill. Knowing the progress in each of these components and the relative priority for their improvement is crucial to allow forward progress of the skill in question, as per the ‘SMART’ goal-setting process [4]. In addition to an objective measure of performance, goalsetting increases self-awareness of the priorities needed for success [5]. The mere act of evaluating performance can also have positive benefits, as per the Hawthorne effect [6,7]. Furthermore, mapping progress objectively using goal-setting techniques has a positive effect on motivation to improve further [8]. Despite such suggested benefits of implementation, no robust goal setting method used by medical students to improve performance exists in the current literature [9].
The software used in this study was GoalscapeTM, a goal setting software programme
developed by the German Olympic sailing team that in recent years has been released into
the public domain. The software uses a multi-level pie chart display involving a central,
ultimate goal (Figure 1). The user can break this goal down into an infinite number of
‘subgoals’ that together constitute the components required to achieve the ultimate goal
(Figure 2). Subgoals can also be broken down into further, infinite levels of detail in order
to allow the user to target improvement interventions on small, detailed, measurable
components (Figure 3) that when aggregated together, contribute significantly to the
cumulative achievement towards the central ultimate goal. The software allows effective
visualization of priorities and progress for each subgoal, thus allowing the user to direct
revision priority to the components of most importance. In complex systems that require
high levels of competency in each component (such as clinical skills training in medical
undergraduates), priorities can often become unclear due to the sheer number of
components involved in the skills they must master. The use of goal setting software clarifies
the respective priorities of components so that the user can adopt a methodical approach to
improvement that is both goal-specific and time-effective [10]. By changing the priority of
subgoals on the software, the percentage area of the pie chart each subgoal corresponds to
can be changed. The progress of each sub goal can be changed and logged by the user, and
the overall accumulation of progress towards the ultimate goal can be measured.
Figure 1: Overall ‘pie-chart’ view, showing broad subgoals that make up the central goal
Figure 2: Each subgoal can be broken down into finer, detailed, subgoals and elaborated on to provide more specific breakdown of the
larger goal components
Figure 3: Small subgoals of each component can be broken down into their smallest component parts, allowing identification small,
specific goals that contribute to overall ultimate goal performance
Ethical approval for the study was granted by the University of Dundee Research Ethics
Committee (UREC). The study followed an RCT design, whereby 42 medical students in their
third year at Dundee Medical School undertook a mock Neurology OSCE station (cerebellar
examination, total 12 marks). Fourteen days prior to the OSCE, students were randomly
allocated into two groups. Group 1 was given GoalscapeTM software with a present template
designed by Dundee neurologists to help direct study focus. Group 2 used traditional
study methods. The difference in mock OSCE score between group 1 and 2 was compared
by student t-test using SPSS 22. A questionnaire evaluating students’ perceptions of goal
setting was given to participants in Group 1 after completing the OSCE station (Figure 4).
Figure 4: Flowchart of study stages
The OSCE scores (mean, median [SD, IQR]) were 10.26, 10.00 [1.28, 1.50] in the software group and 9.59, 10.00 [1.56, 2.00] in the non-software group (p= 0.186, Mann Whitney U Test) (Figure 5). Questionnaire feedback from students revealed a mean participantreported score of 7.00 and 6.67 on a 0-10 analogue scale when students were asked ‘How useful is GoalscapeTM for visualising components on neurology clinical skills?’ and ‘How useful is goalsetting to medical students?’ respectively (Table 1, Figure 6,7).