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DIGITAL WELLBEING
IN MEDICAL
STUDENTS
STEVE GALLAGHER, ANDREW GRAY AND DAVID
PEREZ
DUNEDIN SCHOOL OF MEDICINE
UNIVERSITY OF OTAGO, NEW ZEALAND
@STEVEGALLAGHER
STEVE.GALLAGHER@OTAGO.AC.NZ
WHAT IS DIGITAL
WELLBEING?
Impact of digital omnipresence on life and learning
Beetham (2015)a - JISC Building Digital Capabilities Challenge:
“…learners' fears range from exposure, to loss of face-to-face contact
with teaching staff, as well as issues of distraction and concentration.”
Reinecke et al (2016)b - Digital Stress over the Lifespan
“…stress reactions elicited by environmental demands of ICT use...as a
function of communication load... and Internet multitasking.” (abridged, p
3)
a https://www.jisc.ac.uk/blog/thriving-in-a-connected-age-digital-capability-and-digital-wellbeing-25-jun-2015
b Reinecke, L. et al (2016). Digital stress over the life span: The effects of communication load and internet
multitasking on perceived stress and psychological health impairments in a German probability sample. Media
Psychology, 1-26.
DIGITAL MEANS “ALL THE
THINGS”
MEDICAL STUDENT
WELLBEING AT OTAGO
Longitudinal survey of medical student wellbeing at Otago
Medical School
Initiated by David Perez in 2012
Followed cohort from 2nd – 5th year
- Maslach Burnout Inventory (MBI)
- Patient Health Questionnaire – 9 (PHQ-9)
- RAND-36 Shortform Health Survey
- Bespoke questions on curriculum and teaching environment,
and personal factors relating to wellbeing – “Student
Wellbeing”
- What’s changed since 2012?
WHAT’S CHANGED SINCE
2012? EVERYTHING
YikYak – launched 2013, prominent in NZ by 2015
Snapchat – launched in 2012, prominent in NZ by 2014
Not to mention and dozens of messaging apps
POSITIVES AND
NEGATIVES
The Guardian, May 2016a
a https://www.theguardian.com/lifeandstyle/2016/may/19/tumblr-mental-health-information-community-disorders-healthcare
The Guardian, Sept 2015b
b https://www.theguardian.com/commentisfree/2015/sep/16/social-media-mental-health-teenagers-government-pshe-lessons
BACK TO OUR STUDENTS
Data from two timepoints:
• 2012 (T2 – 60% RR) and 2015 (T5 67% RR).
Maslach Burnout Inventory Subscales
• Emotional Exhaustion (EE), De-personalisation (DP), Personal
Accomplishment (PA)
EE T1 EE T2 DP T2 DP T5 PA T2 PA T5
Overall 21.1
(8.3)
25.3
(9.8)
3.9
(4.2)
7.3
(5.1)
24.2
(10.5)
32.0
(7.02)
Mean Scores and Standard Deviations
Moderate changes in Emotional Exhaustion, De-personalisation,
and Personal Accomplishment
PHQ-9
PHQ-9 – Patient Health Questionnaire
- Primarily a screening instrument for depression
- Range = 0-27
T2 T5
Overall 5.4 (4.0)
Mild depression
6.08 (4.5)
Mild depression
No difference
RAND-36
Shortform 36 item Health Survey
Developed in Medical Outcomes Study.
8 subscales, two reported here:
• Physical Role Functioning (PR)
• Mental Health (MH)
Reasonably stable, a suggestion of decreasing scores in Mental
Health over time.
PR T2 PR T5 MH T2 MH T5
Male 79.2 (35.1) 82.4 (31.2) 70.3 (17.8) 64.9 (21.5)
Female 67.2 (36.9) 72.1 (36.1) 69.0 (14.5) 62.6 (17.6)
ASKING ABOUT
WELLBEING
Student Wellbeing Questions targeted two broad areas:
1 – Curriculum and Teaching (e.g., I generally cope well with
course workload, I find it difficult to cope with the assessment
programme)
2 – Personal Issues (e.g., I have sufficient time for outside
interests, I have problematic personal or social issues outside of
medicine)
23 items total, answered on a 5-pt Likert-type scale
Strongly
Disagree
Disagree Undecided Agree Strongly
Agree
0 1 2 3 4
DIGITAL WELLBEING
At T5, introduced 5 additional items targeting digital wellbeing
The following questions relate to your digital and online activity,
which includes using the web and online services for social
networking, education, information gathering, and entertainment.
Think about your use of specific sites, apps, and devices (e.g.,
tablets, phones), and discriminate between the use of digital
technology for your study vs other uses.
= BROAD DEFINITION OF DIGITAL, NOT JUST LEARNING
50.8% Agree or Strongly Agree
18.72% Agree or Strongly Agree
49.2% Agree or Strongly Agree
60.97% Disagree or Strongly Disagree
5.88% Agree or Strongly Agree
MEASURING DIGITAL
WELLBEING
• The five items, when summed show moderate internal
consistency (α= 0.52)
• Sufficiently consistent to look at relationships between scores
on these items and other measures
EE PA DP PHQ RP MH SW
DW 0.27 -.219 0.166 0.279 -0.145 -0.213 0.116
(p) 0.00 0.003 0.24 0.00 0.048 0.003 0.115
Digital wellbeing items correlated with all measures except other
student wellbeing questions (marginal correlation with RAND-36
Role Physical Subscale)
IS THERE A PROBLEM?
When more than 50% of your students are describing the amount
of online learning material as overwhelming….
… I think we might have a problem.
WHAT CAN WE DO?
1. Build capability in our students
• E.g., JISC’s Digital Capability Model
https://www.jisc.ac.uk/guides/developing-digital-literacies
WHAT ELSE CAN WE DO?
2. Digital Learning Design
• Build staff capability to contextualise digital learning
• Move staff from “read the thing” to “do the thing with the thing”
– promote active learning
http://emilysdiaryofficial.tumblr.com/
MORE?
3. Increase student participation in shaping their digital
learning environment
• Course feedback is great, but it’s not enough, especially if you
don’t act on it
• Engage students in solving problems in learning environment
• Students who are engaged in co-design report greater
cohesion, more motivation, engagement, confidence and
autonomy. Staff find it “nerve wracking”! (Bovill, 2014)a
• Curriculum hack? Ideas welcome!
a Bovill, C. (2014). An investigation of co-created curricula within higher education in the UK, Ireland and the USA.
Innovations in Education and Teaching International, 51(1), 15-25.
THANKS
David Perez for having the foresight to begin the study
Andrew Gray for incredibly helpful biostatistics support
Our students!
And you all, for listening.

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Digital Wellbeing in Medical Students

  • 1. DIGITAL WELLBEING IN MEDICAL STUDENTS STEVE GALLAGHER, ANDREW GRAY AND DAVID PEREZ DUNEDIN SCHOOL OF MEDICINE UNIVERSITY OF OTAGO, NEW ZEALAND @STEVEGALLAGHER STEVE.GALLAGHER@OTAGO.AC.NZ
  • 2. WHAT IS DIGITAL WELLBEING? Impact of digital omnipresence on life and learning Beetham (2015)a - JISC Building Digital Capabilities Challenge: “…learners' fears range from exposure, to loss of face-to-face contact with teaching staff, as well as issues of distraction and concentration.” Reinecke et al (2016)b - Digital Stress over the Lifespan “…stress reactions elicited by environmental demands of ICT use...as a function of communication load... and Internet multitasking.” (abridged, p 3) a https://www.jisc.ac.uk/blog/thriving-in-a-connected-age-digital-capability-and-digital-wellbeing-25-jun-2015 b Reinecke, L. et al (2016). Digital stress over the life span: The effects of communication load and internet multitasking on perceived stress and psychological health impairments in a German probability sample. Media Psychology, 1-26.
  • 3. DIGITAL MEANS “ALL THE THINGS”
  • 4. MEDICAL STUDENT WELLBEING AT OTAGO Longitudinal survey of medical student wellbeing at Otago Medical School Initiated by David Perez in 2012 Followed cohort from 2nd – 5th year - Maslach Burnout Inventory (MBI) - Patient Health Questionnaire – 9 (PHQ-9) - RAND-36 Shortform Health Survey - Bespoke questions on curriculum and teaching environment, and personal factors relating to wellbeing – “Student Wellbeing” - What’s changed since 2012?
  • 5. WHAT’S CHANGED SINCE 2012? EVERYTHING YikYak – launched 2013, prominent in NZ by 2015 Snapchat – launched in 2012, prominent in NZ by 2014 Not to mention and dozens of messaging apps
  • 6. POSITIVES AND NEGATIVES The Guardian, May 2016a a https://www.theguardian.com/lifeandstyle/2016/may/19/tumblr-mental-health-information-community-disorders-healthcare The Guardian, Sept 2015b b https://www.theguardian.com/commentisfree/2015/sep/16/social-media-mental-health-teenagers-government-pshe-lessons
  • 7. BACK TO OUR STUDENTS Data from two timepoints: • 2012 (T2 – 60% RR) and 2015 (T5 67% RR). Maslach Burnout Inventory Subscales • Emotional Exhaustion (EE), De-personalisation (DP), Personal Accomplishment (PA) EE T1 EE T2 DP T2 DP T5 PA T2 PA T5 Overall 21.1 (8.3) 25.3 (9.8) 3.9 (4.2) 7.3 (5.1) 24.2 (10.5) 32.0 (7.02) Mean Scores and Standard Deviations Moderate changes in Emotional Exhaustion, De-personalisation, and Personal Accomplishment
  • 8. PHQ-9 PHQ-9 – Patient Health Questionnaire - Primarily a screening instrument for depression - Range = 0-27 T2 T5 Overall 5.4 (4.0) Mild depression 6.08 (4.5) Mild depression No difference
  • 9. RAND-36 Shortform 36 item Health Survey Developed in Medical Outcomes Study. 8 subscales, two reported here: • Physical Role Functioning (PR) • Mental Health (MH) Reasonably stable, a suggestion of decreasing scores in Mental Health over time. PR T2 PR T5 MH T2 MH T5 Male 79.2 (35.1) 82.4 (31.2) 70.3 (17.8) 64.9 (21.5) Female 67.2 (36.9) 72.1 (36.1) 69.0 (14.5) 62.6 (17.6)
  • 10. ASKING ABOUT WELLBEING Student Wellbeing Questions targeted two broad areas: 1 – Curriculum and Teaching (e.g., I generally cope well with course workload, I find it difficult to cope with the assessment programme) 2 – Personal Issues (e.g., I have sufficient time for outside interests, I have problematic personal or social issues outside of medicine) 23 items total, answered on a 5-pt Likert-type scale Strongly Disagree Disagree Undecided Agree Strongly Agree 0 1 2 3 4
  • 11. DIGITAL WELLBEING At T5, introduced 5 additional items targeting digital wellbeing The following questions relate to your digital and online activity, which includes using the web and online services for social networking, education, information gathering, and entertainment. Think about your use of specific sites, apps, and devices (e.g., tablets, phones), and discriminate between the use of digital technology for your study vs other uses. = BROAD DEFINITION OF DIGITAL, NOT JUST LEARNING
  • 12. 50.8% Agree or Strongly Agree
  • 13. 18.72% Agree or Strongly Agree
  • 14. 49.2% Agree or Strongly Agree
  • 15. 60.97% Disagree or Strongly Disagree
  • 16. 5.88% Agree or Strongly Agree
  • 17. MEASURING DIGITAL WELLBEING • The five items, when summed show moderate internal consistency (α= 0.52) • Sufficiently consistent to look at relationships between scores on these items and other measures EE PA DP PHQ RP MH SW DW 0.27 -.219 0.166 0.279 -0.145 -0.213 0.116 (p) 0.00 0.003 0.24 0.00 0.048 0.003 0.115 Digital wellbeing items correlated with all measures except other student wellbeing questions (marginal correlation with RAND-36 Role Physical Subscale)
  • 18. IS THERE A PROBLEM? When more than 50% of your students are describing the amount of online learning material as overwhelming…. … I think we might have a problem.
  • 19. WHAT CAN WE DO? 1. Build capability in our students • E.g., JISC’s Digital Capability Model https://www.jisc.ac.uk/guides/developing-digital-literacies
  • 20. WHAT ELSE CAN WE DO? 2. Digital Learning Design • Build staff capability to contextualise digital learning • Move staff from “read the thing” to “do the thing with the thing” – promote active learning http://emilysdiaryofficial.tumblr.com/
  • 21. MORE? 3. Increase student participation in shaping their digital learning environment • Course feedback is great, but it’s not enough, especially if you don’t act on it • Engage students in solving problems in learning environment • Students who are engaged in co-design report greater cohesion, more motivation, engagement, confidence and autonomy. Staff find it “nerve wracking”! (Bovill, 2014)a • Curriculum hack? Ideas welcome! a Bovill, C. (2014). An investigation of co-created curricula within higher education in the UK, Ireland and the USA. Innovations in Education and Teaching International, 51(1), 15-25.
  • 22. THANKS David Perez for having the foresight to begin the study Andrew Gray for incredibly helpful biostatistics support Our students! And you all, for listening.

Editor's Notes

  1. I first came across the term Digital Wellbeing in the work of Helen Beetham and colleagues in the context of their work on JISC’s Building Digital Capabilities challenge When mapping staff capability through interviews, they identified a thread which they refer to as digital wellbeing. I’ll refer more to their work later in this talk. In other literatures this is sometimes identified as digital stress, and it is becoming increasingly accepted that digital technologies and their use across the lifespan can have both positive and negative effects, the negative effects driven by FOMO and social pressure, and perhaps elements of compulsive or addictive behaviour. I’ve adopted the term digital wellbeing for my work in this area.
  2. Learning related (programmed) and non-learning related digital activity – we need to look at all digital activity to understand the impact on wellbeing, not just restrict ourselves to what we do in digital learning environments.
  3. Thinking back to the idea that digital stress is mediated by communication load and social pressure, it is reasonable to hypothesise that the anecdotal increase in the use of these apps and others for communication and social engagement might affect wellbeing.