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. Author manuscript; available in PMC: 2017 Dec 6.
Published in final edited form as: JAMA. 2016 Dec 6;316(21):2237–2252. doi: 10.1001/jama.2016.17573

Association Between Learning Environment Interventions and Medical Student Well-being: A Systematic Review

Lauren T Wasson 1, Amberle Cusmano 1, Laura Meli 1, Irene Louh 1, Louise Falzon 1, Meghan Hampsey 2, Geoffrey Young 3, Jonathan Shaffer 4, Karina W Davidson 1,5
PMCID: PMC5240821  NIHMSID: NIHMS837775  PMID: 27923091

Abstract

Importance

There are concerns about the current quality of undergraduate medical education (UME) and its effect on students’ well-being.

Objective

This systematic review was designed to identify best practices for UME learning environment interventions that are associated with improved emotional well-being of students.

Data Sources

Learning environment interventions were identified by searching the biomedical electronic databases Ovid MEDLINE, EMBASE, the Cochrane Library, and the ERIC database from the database inception dates to October 2016. Studies examined any intervention designed to promote medical students’ emotional well-being in the setting of a US academic medical school, with an outcome defined as students’ reports of well-being as assessed by surveys, semistructured interviews, or other quantitative methods.

Data Extraction and Synthesis

Two investigators independently reviewed abstracts and full-text articles. Data were extracted into tables to summarize results. Study quality was assessed by the Medical Education Research Study Quality Instrument (MERQSI), which has a possible range of 5–18; higher scores indicate higher design and methods quality, and a score of ≥ 14 indicates a high-quality study.

Findings

Twenty-eight articles including at least 8224 participants met eligibility criteria. Study designs included single-group cross-sectional or post-test only (n=10), single-group pre-/post-test (n=2), nonrandomized two-group (n=13), and randomized clinical trial (n=3); 93% were conducted at a single site, and the mean MERSQI score for all studies was 10.3 (range 5–13, SD=2.11). Studies encompassed a variety of types of interventions, including those focused on pass/fail grading systems (n=3, mean MERSQI=12.0), mental health programs (n=4, MERSQI=11.9), mind-body skills programs (n=7, MERSQI=11.2), curriculum structure (n=3, MERSQI=9.5), multicomponent program reform (n=5, MERSQI=9.4), wellness programs (n=4, MERSQI=9.0), and advising/mentoring programs (n=3, MERSQI=8.2).

Conclusions and Relevance

In this systematic review, limited evidence suggested that some specific learning environment interventions were associated with improved emotional well-being among medical students. However, the overall quality of the evidence was low, highlighting the need for high-quality medical education research.

Keywords: undergraduate medical education, student well-being, intervention, medical students, satisfaction

Introduction

Medical schools strive to educate knowledgeable, caring, and professional physicians and pay particular attention to opportunities for improving the undergraduate medical education (UME) learning environment as they realize its influence on the education of future physicians.1

A critical element of the learning environment is its effect on student well-being. Although matriculating US medical students begin training with significantly lower rates of depression and burnout and report better mental and emotional quality of life than other college-educated young adults,2 their reported well-being decreases during the UME years. The reported rate of moderate to severe depression is approximately 14% and of burnout symptoms is 52%—higher than reported by other graduate students or population control samples.3,4 Studies indicate that up to 11% of medical students report suicidal ideation.5

The Association of American Medical Colleges (AAMC) includes in its vision for improving medical education “the health and well-being of learners.”6 This systematic review evaluated the association between UME learning environment interventions and the emotional well-being of students.

Methods

Search strategy

Potentially relevant articles were identified by searching the biomedical electronic databases Ovid MEDLINE, EMBASE, the Cochrane Library, and the ERIC database from the database inception dates to October 2016 (Appendix A). Additional records were identified by scanning the reference lists of relevant studies and reviews published between May 2011 and October 2016, by using the Similar Articles feature in PubMed and the Cited Reference Search in the Web of Science. We searched for grey literature (“that which is produced on all levels of government, academics, business and industry in print and electronic formats, but which is not controlled by commercial publishers”)7 through ongoing trial registries, academic dissertations, and websites of relevant organizations (eg, AAMC) (Appendix A).

Selection criteria

Studies must have examined the outcomes associated with any intervention aiming to promote students’ emotional well-being in the setting of an academic US medical school. The well-being outcome had to be obtained through surveys, semistructured interviews, or other quantitative methods. Open-ended response formats were excluded because their methodologic quality could not be appraised with the methodology rating used in this review. Medical education interventions measured with open-ended responses are reviewed and appraised elsewhere.8,9

Methodology quality rating

Study quality was assessed using the Medical Education Research Study Quality Instrument (MERSQI), which was developed to appraise the methodologic quality of quantitative medical education research.10 MERSQI scores have been positively correlated with editorial decisions to publish and with the presence of external funding for the research conducted.10 The instrument is based on 10 design and methods criteria: study design, number of institutions studied, response rate, data type, internal structure, content validity, criterion validity, appropriateness of data analysis, complexity of analysis, and outcome level. These criteria form six domains, each with a maximum score of 3 and a minimum of 0 or 1, that sum to produce a total score that ranges from 5 to 18.

The MERSQI was preferred to the Newcastle-Ottawa Scale-Education (NOS-E), another assessment tool for medical education research quality, because it was found to have generally higher interrater reliability (0.68–0.89)11 than the NOS-E. This may be due to its more objective assessments of design strengths and weaknesses, although it omits items on the comparability of groups and blinding11 Although there are no defined cut-off values differentiating high-quality from low-quality study methods, one study used a MERSQI score of ≥ 14.0 as an a priori cutoff of high quality.12

Data extraction

Two review authors independently scanned the title or abstract of all search results to determine which studies required further assessment, investigated all potentially relevant articles as full text, selected studies to include in this review, assigned a MERSQI score for each, and calculated a mean quality score across studies (Table 1). Data disagreements were resolved by consultation with the third and fourth review authors. The original intention noted in the study protocol was to conduct a meta-analysis, but due to the considerable variation in the interventions, study designs, and outcomes, we did not pool the studies quantitatively, as they were judged to not be combinable.13

Table 1.

Study comparison and outcome measures

Study Design Population Comparison(s) Sample Size(s) Outcome Measures Main Results P Value
Pass/Fail Grading Systems
Bloodgood
et al,14 2009
Nonrandomized 2
group
First- and
second-
year
medical
students
Cohort with
pass/fail grading
system versus
earlier cohort
with 5-interval
grading system
(A/B/C/D/F)
n = 281

Pass/fail = 140

5-interval =
141

  • Questions regarding
      satisfaction with school,
      satisfaction with personal life
  • Dupuy General Well-Being
      Schedulea
Pass/fail versus graded after
semester 1 (scores)
  • Anxiety: 18.14 (versus
      15.98)
  • Depression: 17.62
      (versus 15.89)
  • Well-being: 13.02
      (versus 11.02)
  • Self-control: 15.51
      (versus 14.12)
  • Vitality: 14.60 (versus
      12.15)
  • General health: 12.56
      (versus 11.48)

Pass/fail versus graded after
semester 2 (scores)
  • Anxiety: 19.01 (versus
      17.65)
  • Depression: 17.61
      (versus 16.65)
  • Well-being: 13.09
      (versus 12.20)
  • Self-control: 15.10
      (versus 14.45)
  • Vitality: 15.16 (versus
      13.31)
  • General health: 11. 99
      (versus 11.24)

Pass/fail versus graded after
semester 3 (scores)
  • Anxiety: 17.02 (versus
      14.55)
  • Depression: 16.92
      (versus 15.08)
  • Well-being: 12.37
      (versus 10.74)
  • Self-control: 15.13
      (versus 14.40)
  • Vitality: 14.10 (versus
      11.95)
  • General health: 11.25
      (versus 10.84)

Pass/fail versus graded after
semester 4 (scores)
  • Anxiety: 14.08 (versus
      14.20)
  • Depression: 15.56
      (versus 15.35)
  • Well-being: 10.59
      (versus 10.40)
  • Self-control: 14.61
      (versus 14.42)
  • Vitality: 12.88 (versus
      12.06)
  • General health: 11.30
      (versus 11.31)



.002

< .001

< .001

< .001

< .001

.02




.05

.05

.03

.13

.001

.15




.001

.001

< .001

.08

< .001

.47




.86

.71

.67

.63

.11

.99
Rohe et al,15
2006
Nonrandomized 2
group
First- and
second-
year
medical
students
Cohort with
pass/fail grading
system versus
earlier cohort
with 5-interval
grading system
(A/B/C/D/F)
n = 81

Pass/fail = 40

5-interval = 41
• Perceived Stress Scalea
• Profile of Mood Statesa
• Perceived Cohesion Scalea
Pass/fail versus graded at end of
first year (score):
  • Perceived Stress Scale: 10.9
    (SD 6.2) versus 13.8 (SD 6.4)
  • Profile of Mood States: 13.0
    (SD 23.5) versus 32.0 (SD
    39.0)
  • Perceived Cohesion Scale:
    37.8 (SD 5.5) versus 32.9
    (SD 8.4)

Pass/fail versus graded at end of
second year (score):
  • Perceived Stress Scale: 15.8
    (SD 6.8) versus 20.5 (SD 7.8)
  • Profile of Mood States: 47.1
    (SD 31.9) versus 64.6 (SD
    40.5)
  • Perceived Cohesion Scale:
    33.8 (SD 8.0) versus 29.0
    (SD 9.9)



.02


.02


.01




.01


.07


.02
Reed et al,19
2011
Nonrandomized
≥ 2 groups
First- and
second-
year
medical
students
Institutions with
pass/fail grading
systems versus
institutions with
3+ interval
grading systems
(eg,
honors/pass/fail)
n = 2,056

n = 1,192
(responded)

Pass/fail = 701

3+ interval =
491
• Maslach Burnout Inventorya
• Perceived Stress Scalea
• Medical Outcomes Study Short
  Forma
• Perceived stress score: β =
  1.91; 95% CI, 1.05 to 2.78
• Mental quality of life: β = −
  2.79; 95% CI, −4.09 to −1.5
• Burnout: OR 1.85; 95% CI,
  1.24 to 2.01
• Seriously considered dropping
  out of medical school in the
  past year: OR 1.91; 95% CI,
  1.30 to 2.80

< .001

< .001

< .001


.001
Mental Health Programs
Thompson et
al,20 2010
Nonrandomized 2
group
Third-year
medical
students
Cohort with
multi-pronged
mental health
program versus
earlier cohort
without the
program
n = 120

Program
cohort = 62

Earlier cohort =
58
• Center for Epidemiologic
  Studies Depression Scalea
  question on suicidal ideation
Pre-/post-intervention (frequency)
  • Depressive symptoms: 26/44
    (59.1%) versus 14/58
    (24.1%); χ2 = 12.84; df = 2
  • Suicidal ideation: 13/43
    (30.2%) versus 1/33 (3.0%);
    χ2 = 13.05; df = 1



< .01


< .001
Seritan et
al,21 2013
Nonrandomized ≥
2 group
All
years
Cohort with
mental health
program versus
earlier cohort
without program
and versus
national average
No sample size
provided for
number of
students
referred to
services

Accreditation
Council for
Graduate
Medical
Education
Graduation
Survey, n =
525
• American Medical Colleges
  Graduation Questionnairea
Mental health service self-referral
(percentage, no numbers provided)
  • Time 1: 50%
  • Time 2: 88%
  • Time 3: 91%

Other referral
  • Time 1: 50%
  • Time 2: 12%
  • Time 3: 9%

Satisfaction with program versus
national average, pre- and most
recent postintervention (score)
  • Personal counseling
      • 2009: 3.5 (3.7)
      • 2013: 4.4 (4.0)
  • Student mental health
    services
      • 2009: 3.5 (3.6)
      • 2013: 4.3 (4.0)
  • Stress-management programs
    (postintervention only)
      • 2009: 3.6 (3.8)
      • 2013: 4.3 (3.9)
---
Downs et
al,22 2014
Single group cross-
sectional or post-
test only
All years --- n = 1008
(program)

n = 343
(program and
screen)
• Patient Health Questionnaire-
  9a
Among those screened, mental
health service utilization
(percentage, no numbers provided)
  • Year 1: 11.5%
  • Year 4: 15.0%
  • χ2: 1.27, df = 3

Among those screened, suicide risk
  • Year 1: 8.8%
  • Year 4: 6.2%
  • χ2 = 0.45; df = 3



---
---
NS



---
NS
---
Moutier et
al,23 2012
Single group cross-
sectional or post-
test only
All years --- n = 498

n = 132
(screened)
• Items from Patient Health
  Questionnaire-9a
measuring mental health service
referral rate
Referred to mental health
professional based in part on
Patient Health Questionnaire -9, of
those screened: 15/132 (11%)
---
Mind-Body Skills Education/Training Programs
Erogul et
al,24 2014
Randomized
clinical trial
First-year
medical
students
Mindfulness-
based stress
reduction
intervention
versus control
(randomized)
n = 58

Intervention =
28

Control = 30
• Perceived Stress Scalea
• Self-Compassion Scalea
    Change in case from pre- to
  postintervention (change score)
    • Perceived Stress Scale:
      3.63; 95% CI, 0.37 to
      6.89
    • Self-Compassion Scale:
      0.58; 95% CI, 0.23 to
      0.92

Change in case from pre- to 6-
month follow-up (change score)
    • Perceived Stress Scale:
      2.91; 95% CI, −0.37 to
      6.19
    • Self-Compassion Scale:
      0.56; 95% CI, 0.25 to
      0.87




.03

.002





.08

.001


Holtzworth-
Munroe et
al,26 1985



Randomized
clinical trial

First- and
second-
year
medical
students


Mind-body
program versus
control
(randomized)

n = 40

Intervention =
20

Control = 20
• Spielberger Trait Anxiety
  Inventorya
• Anxiety in test and social
  situation questionnaire
• Tension and depression
  questionnaire
• Self-esteem measure
• Stress questionnaire
Intervention versus control at
follow-up (score)
  • More aware of tension: F(5,
    18) = 37.16
  • Dealing better with school
    stress: F(5, 18) = 5.05

  Anxiety before test (score): F(1,
      22) = 10.42
< .001

< .04



< .005
Kraemer et
al,27 2016
Nonrandomized 2
group
First- and
second-
year
medical
students
Mind-body
program versus
control (non-
randomized)
n = 52

Intervention =
28

Control = 24
• Distress Tolerance Scalea
• Perceived Stress Scale-10a
• Positive Affect Negative
  Affect Schedulea
Changes in distress tolerance
(change score)
    • Mind-body: 0.53; t = −
      2.81; 95% CI, 0.92 to
      0.14
    • Control: 0.25; t = −1.66;
      95% CI, −0.06 to 0.55
    •


.01

.11
Rosenzweig
et al,29 2003
Nonrandomized 2
group
Second-
year
medical
students
Mindfulness-
based stress
reduction
program versus
control (non-
randomized)
n = 302

Intervention =
140

Control = 162
• Profile of Mood Statesa Profile of Mood States total mood
disturbance for intervention versus
control (score)
  • Intervention: 38.7 (SD 33.3)
    versus 31.8 (SD 33.8)
  • Control: 28.0 (SD 31.2)
    versus 38.6 (SD 32.8)
  • Interaction: d = −0.18
.05

<.001
< .001
Finkelstein
et al,31 2007
Nonrandomized 2
group
Second-
year
medical
students
Mind-body
elective versus
control
(nonrandomized)
n = 72

Intervention =
26

Control = 46
• Symptom Checklist-90
  Anxiety Subscalea
• Profile of Mood Statesa
• Perceived Stress of Medical
  School Scalea
• The 2-item Depression Indexa
Time/group interaction for scores
  • Anxiety (Symptom
    Checklist-90): F(1,2) = 3.95
  • The Profile of Mood States:
    F(1,2) = 3.77
  • Perceived Stress of Medical
    School Scale: F(1,2) = .11
< .05

< .05

NS
Greeson et
al,32 2015
Single group pre-
and post-test
All years Before versus
after mind-body
skills
intervention
n = 44 • Cognitive and Affective
  Mindfulness Scale-Reviseda
• Perceived Stress Scalea
• Open-ended feedback
Pre-/post-intervention (score)
    • Perceived Stress Scale:
      29.73 (SD 9.61) versus
      20.25 (SD 9.03)
      ◦ t (33) = 7.90; d
          = 1.38
    • Mindfulness: 29.24 (SD
      5.54) versus 33.88 (SD
      6.13)
      ◦ t (33) = 5.27; d
          = 0.92
< .001



< .001



Bond et al,33
2013


Single group pre-
and post-test

First- and
second-
year
medical
students


Before versus
after mind-body
course



n = 27
• Cohen’s Perceived Stress Scale
• Self-regulation questionnairea
• Self-Compassion Scalea
• Jefferson Scale of Physician
  Empathya
Pre-/post-intervention (change
score):
    • Perceived stress: −.05
      (SD 0.62); d = .14
    • Self-regulation: 0.13 (SD
      0.2); d = −0.41
    • Self-compassion: 0.28
      (SD 0.61); d = −0.55
    • Empathy: 0.11 (SD 0.5);
      d = −0.13
.70

.003

.04

.30

Curriculum Structure

Reed et al,19
2011

Nonrandomized; ≥
  2 groups

First- and
second-
year
medical
students

7 institutions’
curriculum
structures
n = 2056

n = 1192
(responded)
• Maslach Burnout Inventorya
• Perceived Stress Scalea
• Medical Outcomes Study Short
  Forma
Association between clinical
experiences and the following
scores
  • Perceived stress: β .02; 95%
    CI [−.10 to .13]
  • Burnout: OR 1.01; 95% CI,
    0.98 to 1.05
  • Mental quality of life: β .00;
    95% CI, −0.16 to 0.16
  • Serious thoughts of dropping
    out: OR 0.96; 95% CI, 0.93
    to 1.00

Association between testing
experiences and the following
scores
  • Perceived stress: β .29; 95%
    CI, 0.10 to 0.84
  • Burnout: OR 1.10; 95% CI,
    0.89 to 1.23
  • Mental quality of life: b–β −
    .63; 95% CI, −0.29 to 0.96
  • Serious thoughts of dropping
    out: OR 1.19; 95% CI, 1.12
    to 1.27

Association between number of
tests and the following scores
  • Perceived stress: β −0.02;
    95% CI, −0.6 to 0.03
  • Burnout: OR 0.99; 95% CI,
    0.97 to 1.01
  • Mental quality of life: β 0.03;
    95% CI, −0.05 to 0.04
  • Serious thoughts of dropping
    out: OR 1.00; 95% CI, 0.97
    to 1.02
.79

.42

.98

.03






.003

.09

< .001


< .001




.48

.19

.44

.82

Camp et al,35
1994
Nonrandomized 2
group
First- and
second-
year
medical
students
Problem-based
learning versus
lecture-based
learning
n = 275

Problem-based
learning = 60

Lecture-based
learning = 215
  • Zung Self-Rating
    Depression Scalea
Depression problem-based learning
versus lecture-based learning
(score)
    • Overall OR 0.42; 95%
      CI, 0.14 to 1.21
    • Adjustment for sex and
      self actualization OR
      0.45; 95% CI, 0.14 to
      1.42
.07



.14
Kornitzer et
al,36 2005
Cross-sectional
  post-test only
All cohorts --- n = 92   • Questions regarding
    program attendance
    factors, subjective
    medical school transition
    factors, program ratings
    and student perceptions,
    and academic benefits of
    program
Underrepresented in Medicine
group (percentage, no numbers
provided)
  • Gained confidence: 85.7%
  • Made the transition easier:
    100%
  • Made friends:100%

Humanities and Medicine group
(percentage, no numbers provided)
  • Gained confidence: 97%
  • Made the transition easier:
    97%
  • Made friends: 93.9%
---

---
---



---

---
---
Multi-component Program Reform
Drolet and
Rodgers,37
2010
Single group cross-
sectional or post-
test only
All years --- n = 116     • Satisfaction survey Student Wellness Committee
satisfaction (percentage, no
numbers provided)
    • Positive experience with
      Student Wellness
      Committee: 95%

---

Fleming et
al,38 2013

Single group cross-
sectional or post-
test only (for the
outcome measure
relevant to this
review)
All years --- n = 245   • Vanderbilt University
      student affairs survey
Reported that colleges design
contributed meaningfully or
somewhat meaningfully to their
Vanderbilt University experience
(percentage, no numbers provided):
91%
---

Real et al,39
2015

Single group cross-
sectional or post-
test only


All years


---


n = 450
• Maslach Burnout Inventorya
• Primary Care Evaluation of
  Mental Disordersa
• Participation survey
• Perception of burnout survey
Level of burnout within aspects of
program (Score: 0 = more burnout,
100 = less burnout)
  • Faculty mentors: 70
  • Annual retreats: 58.6
  • Student-led programming
    committee: 64
  • Overall wellness program:
    69.2

Faculty mentors correlation with
the following scores
    • Emotional exhaustion: r
      = −0.27
    • Depersonalization: r = −
      0.22
    • Personal
      accomplishment:
r = 0.19

Annual retreats correlation with the
following scores
    • Emotional exhaustion: r
      = −0.32
    • Depersonalization: r = −
      0.32
    • Personal
      accomplishment:
r = 0.16

Student-led programming
committee correlation with the
following scores
    • Emotional exhaustion: r
      = −0.31
    • Depersonalization: r = −
      0.3
    • Personal
      accomplishment:
r = 0.23

Overall wellness program
correlation with the following
scores
    • Emotional exhaustion: r
      = −0.32
    • Depersonalization: r = −
      0.23
    • Personal
      accomplishment: r = 0.1



---
---

---

---




---

---


---




---

---


---




---


---


---




---


---

---



















Slavin et
al,40 2014



















Nonrandomized ≥
2 group


















First- and
second-
year
medical
students


















Cohorts with
different phases
of multi-
program reform
implementation




















n = 875–890

















• Center for Epidemiological
  Studies Depression Scalea
• Spielberger State-Trait Anxiety
  Inventorya
• Perceived Stress Scalea
• Perceived Cohesion Scalea
• American Medical Colleges
  Graduation Questionnairea
Moderate or severe depression
according to the Center for
Epidemiological Studies
Depression Scale (percentage, no
numbers provided)
    • End year 1: Cramér V =
       0.16
         • Phase 1 versus
           control: 21%
           (versus 27%)
         • Phase 1/2 versus
            control: 18%
            (versus 27%)
         • Phase 1/2/3 versus
           control: 11%
           (versus 27%)
    • End year 2: Cramér V =
      0.18
        • Phase 1 versus
          control: 17%
          (versus 32%)
        • Phase 1/2 versus
           control: 18%
          (versus 32%)
        • Phase 1/2/3 versus
          control: 16%
          (versus 32%)

Anxiety (percentage, no numbers
provided)
    • End year 1: Cramér V =
      0.23
         • Phase 1 versus
           control: 45%
           (versus 55%)
         • Phase 1/2 versus
           control: 31%
           (versus 55%)
         • Phase 1/2/3 versus
           control: 31%
           (versus 55%)
    • End year 2: Cramér V =
      0.18
           • Phase 1 versus
             control: 61%
            (versus 60%)
           • Phase 1/2 versus
             control: 39%
            (versus 60%)
           • Phase 1/2/3 versus
             control: 46%
            (versus 60%)
Stress according (score)
    • End year 1: η2 = 0.06
         • Phase 1 versus
           control: 14.9 (SD
           6.7) versus 16.3
           (SD 7.4)
         • Phase 1/2 versus
           control: 13 (SD
           6.8) versus 16.3
           (SD 7.4)
         • Phase 1/2/3 versus
           control: 12.1 (SD
           6.1) versus 16.3
           (SD 7.4)
    • End year 2: partial η2 =
       0.05
         • Phase 1 versus
           control: 14.4 (SD
           5.8) versus 16.9
          (SD 7.3)
         • Phase 1/2 versus
           control: 13.9 (SD
           6.4) versus 16.9
           (SD 7.3)
         • Phase 1/2/3 versus
           control: 13.5 (SD
           6.8) versus 16.9
           (SD 7.3)
Cohesion (score)
    • End year 1: partial η2 =
      0.03
         • Phase 1 versus
           control: 8.1 (SD
           1.7) versus 7.9 (SD
           2.1)
         • Phase 1/2 versus
           control: 8.5 (SD
           2.1) versus 7.9 (SD
           2.1)
         • Phase 1/2/3 versus
           control: 8.8 (SD
           1.8) versus 7.9 (SD
           2.1)
    • End year 2: partial η2 =
       0.02
         • Phase 1 versus
           control: 8.2 (SD
           1.6) versus 7.7 (SD
           2.0)
         • Phase 1/2 versus
           control: 8.5 (SD
           2.2) versus 7.7 (SD
           2.0)
         • Phase 1/2/3 versus
           control: 8.1 (SD
           2.0) versus 7.7 (SD
           2.0)









NS


NS


<.05




< .05


< .05


< .0







NS


< .05


< .05




NS


< .05


< .05





NS



< .05



< .05





< .05



< .05



< .05






NS



< .05




<0.5





< .05



< .05




< .05
Strayhorn,41
1989
Nonrandomized 2
group
First-year
medical
students
Cohort with
multi-component
program reform
versus earlier
cohort






































University of
North Carolina,
Chapel Hill
versus
comparison
school








Responders n
= 478 (original
sample size
not reported)






• Learning Environment
  Questionnairea
• Rand Health Insurance
  Questionnairesa
• Environment stresses
  questionnaire
• Social support questionnaire
New versus old curriculum stress
questionnaire
  • Overall fewer stresses;
    t(223) = −1.7
  • Less perceived stress
    from social and
    recreational sources
  • No reduction in financial-
    related stress

New versus old curriculum mental
well-being
  • Greater overall well-
    being t(197) = −2.04
  • Greater sense of positive
    well-being
  • Greater sense of vitality
  • Less depression
  • Less anxiety
  • Social well-being t (223)
    = −1.66

New versus old curriculum social
support
  • No perceived difference
    in availability of social
    supports t (227) = −0.36
  • Less class advisor
    support
  • Class advisors less
    willing to listen
  • Class advisors less
    willing to help with
    personal problems
  • Concerned about students
    welfare
  • Greater support from
    administrators
  • Could rely on
    administrators when
    things got tough
  • Perceived level of
    support from
    • Fellow students
    • Friends
    • Significant others

Time - control (University of North
Carolina, Chapel Hill versus
comparison) learning environment
  • Fewer environmental
    stressors F(1467) = 6.41
  • Greater mental well-
    being F(1460) = 9.32
  • Greater social well-being
    F(1466) = 5.37
  • No difference in social
    support F(1477) = 0.01

.09

.03

---





.04

< .001
< .001
< .001
< .001
.10





.721
.002

.003


< .001

.003

.05



.01


---
---
---




.01

.002

.02

.91



Miscellaneous Wellness Programs


Whitehouse
et al,42 1996


Randomized
clinical trial

First-year
medical
students

Self-hypnosis
intervention
versus control
(randomized)
n = 35

Intervention =
21

Control = 14
• Medical history
• Profile of Mood States
• Brief Symptom Inventory
• University of California, Los
  Angeles Loneliness Scale
Time-group intervention analysis
of score
  • Brief Symptom Inventory
    Anxiety: F[3, 96] = 2.96

At examination period self-
hypnosis subjects significantly
lower stressfulness scores: t (30) =
2.11
< .05




< .05
Goetzel et
al,44 1984
Single group cross-
sectional or post-
test only
First-,
second-,
and third-
year
medical
students
--- n = 26 • Group Environment Scale Agreement with statement on scale
(Likert 1–5):
  • “I am no longer as lonely; I
    feel more together with
    people”: 3.33 (of 5)
---
Lee and
Graham,45
2001
Single group cross-
sectional or post-
test only
First- and
second-
year
medical
students
--- n = 66 • Questionnaire related to the
  wellness elective
Students appreciated that the
Wellness Elective helped them
realize the importance of personal
well-being, gave permission for
self-care and an opportunity to find
collegiality, and provided various
coping strategies (frequency)
  • 4/22 (18.2%) strongly agree
  • 17/22 (77.3%) agree

Students felt that the Wellness
Elective over-emphasized stress
itself and devalued the worth of
hard work; realistic expectations
offered in this course seemed
discouraging (frequency)
  •1/22 (4.5%) agree
---
Kushner et
al,46 2011
Single group cross-
sectional or post-
test only
Second-
year
medical
students
--- n = 343 (9
related to
mental and
emotional
health)
• Form relating to goal and
  achievement
Self-reported achievement of
mental/emotional health behavior
change goals (frequency)
  • 6/9 (66.7%) agree
---
Group-based Faculty Advisor/Mentor Programs


Sastre et al,47
2010


Nonrandomized 2
group

First-,
second-,
and third-
year
medical
students

Cohort with
Advisory
College Program
versus earlier
cohort with
Faculty
Advisory
Program
n = 318


Cohort with
program = 103

Earlier cohort
= 215
  • Questionnaires on
    perceived effectiveness of
    the system and role of
    advisor in promoting
    wellness and career
    counseling
Advisory College Program versus
Faculty Advisory Program wellness
advising (percentage, no numbers
provided)
  • I feel comfortable
    discussing my personal
    stress with my advisor:
    62% versus 24%; χ2 =
    40.9
  • I feel comfortable
    discussing my mental
    health with my advisor:
    51% versus 27%; χ2 =
    31.84

Satisfaction with how well advisors
promoted wellness (percentage, no
numbers provided: 27% versus
72%








< .001




< .001




<.001
Coates et
al,48 2008
Nonrandomized 2
group
Fourth-year
medical
students
Cohort with
mentoring
program versus
earlier cohort

n = 100

Cohort with
program = 70

Earlier cohort
= 30
    • 25-item telephone
      survey
Cohort with mentoring program
versus earlier cohort
  • Feels connected with faculty
    (frequency): 14/30 (47%)
    versus 49/70 (70%)
  • Feels connected with
    classmates (frequency):
    11/30, (37%) versus 30/70
    (43%)
---

---
Ficklin et
al,49 1983
Single group cross-
sectional or post-
test only
First-year
medical
students
--- n = 151   • Survey assessing 12
    personal needs of first-
    year medical students
Program helpfulness (only
descriptive summary of results
provided)
  • Becoming better
    acquainted with peers
  • Becoming close to some
    classmates
  • Helping students with the
    anxieties of starting
    school


---

---

---
a

Literature describing the development and validation of the various scales, scores, and questionnaires are as follows: Dupuy General Well-being Schedule,16 Perceived Stress Scale,17,66 Profile of Mood States,30 Perceived Cohesion Scale,18 Maslach Burnout Inventory,67 Medical Outcomes Study Short Form,68,69 Center for Epidemiologic Studies Depression Scale,70 American Medical Colleges Graduation Questionnaire,71 Patient Health Questionnaire,72,73 Self-Compassion Scale,25 Spielberger Trait Anxiety Inventory,74 Distress Tolerance Scale,28 Positive Affect Negative Affect Schedule,75 Symptom Checklist-90 Anxiety Subscale,76 Perceived Stress of Medical School Scale,77 2-Item Depression Index,78 Cognitive and Affective Mindfulness Scale- Revised,79 Self-Regulation Questionnaire,34 Jefferson Scale of Physician Empathy,80 Zung Self-Rating Scale,81 Primary Care Evaluation of Mental Disorders,72,82 Learning Environment Questionnaire,83 Rand Health Insurance Questionnaires,84 Brief Symptom Inventory,43 University of California, Los Angeles Loneliness Scale,85 Group Environmental Scale.8688

CI, confidence interval; OR, odds ratio; SD, standard deviation.

Results

The literature search yielded 4207 publications, of which 28 met the eligibility criteria for this systematic review (Figure 1). Publications were excluded if they were irrelevant or did not meet the inclusion criteria; for example, we excluded publications that focused on medical residents rather than medical students, measured academic rather than well-being outcomes, or that contained interventions not focused on the learning environment. The studies included at least 8224 (one study did not report a sample size) student participants and encompassed a variety of designs, including single-group, cross-sectional or post-test only (n=10), single-group pre-/post-test (n=2), nonrandomized two-group (n=13), and randomized clinical trial (RCT) (n=3) designs; 96% were conducted at a single site. They had a wide range of approaches to improving students’ well-being that are categorized and described below (pass-fail [P/F] grading systems [n=3], mental health programs [n=4], mind-body skills education/training [n=7], curriculum structure [n=3], multicomponent program reform [n=5], wellness programs [n=4], and group-based faculty advisor/mentor programs [n=3]). Individual study results are described below and statistical details are provided for many key findings; additional results and methods are detailed in Tables 1 and 2. The included studies’ methodologic rigor varied, with MERSQI scores ranging from 5.0 to 13.0 (mean 10.3, SD=2.11, n=28). The mean MERSQI score in published medical education studies, as assessed in another review, was 10.0.10 The highest methodology studies crossed all types of interventions and all types of outcome measures. The highest scored categories tested interventions involving P/F grading, mental health programs, and mind-body skills education/training.

Figure 1.

PRISMA Flow Diagram for Systematic Review on the Association Between Learning Environment Interventions and Medical Student Well-being

Figure 1

From: Moher D, Liberati A, Tetzlaff J, Altman DG, The PRISMA Group (2009). Preferred Reporting Items for Systematic Reviews and Meta-Analyses: The PRISMA Statement. PLoS Med 6(6): e1000097. doi:10.1371/journal.pmed1000097

Table 2.

Study methodology

Study Number
of Sites
Overall
Sample
Size
Women,
No. (%)
Intervention Evaluation MERSQ
I
Aim
Pass/Fail Grading Systems
Bloodgood
et al,14
2009
Single
site
n = 281 5-interval
(A/B/C/D/F
): (62%)
Pass/fail:
(46%)
Changed first- and
second-year grading
system from 5-interval
letter grades
(A/B/C/D/F) to pass/fail
grading system in first 2
preclinical years
Self-
assessment
11.5 Measure the
association of
change in grading
systems on
medical student
satisfaction and
psychologic well-
being
Rohe et
al,15 2006
Single
site
n = 81 5-interval
(A/B/C/D/F
): 26/41
(63%)
Pass/fail:
20/40
(50%)
Replaced 5-interval
grading system
(A/B/C/D/F) or first
preclinical year with a
modified pass/fail
system (grading
included pass/marginal
pass requiring student
action for
remediation/fail) during
first preclinical year
Self-
assessment
12 Measure the
sustained and
immediate effects
of a pass/fail
grading system
on stress, mood,
group cohesion,
and test anxiety
Reed et
al,19 2011
Multisite n = 2056
n = 1192
(responded)
550/1192
(47%)
Multisite survey of 2
different grading scales:
1) pass/fail and 2) 3+-
interval (eg,
honors/pass/fail,
honors/high
pass/pass/marginal
pass/fail)
Self-
assessment
12.5 Examine the
relationship
among
curriculum
structure, grading
scales, and
student well-
being
Mental Health Programs
Thompson
et al,20
2010
Single
site
n = 120 --- Multipronged
intervention for third-
year students aimed at
1) reducing barriers to
mental health treatment
by reducing stigma via
faculty education,
mental health
curriculum, including
lectures and a student
handbook; and 2) fully
confidential and
reduced/no-cost
counseling services
Self-
assessment
11.5 Test the
effectiveness of
an intervention
meant to reduce
depressive
symptoms and
suicidal ideation
Seritan et
al,21 2013
Single
site
--- --- Multipronged mental
health/wellness program
offering prevention,
support, and enhanced
clinical services (ie,
hiring a psychiatrist to
offer medication
management) through
development of a new
Office of Student
Wellness with evening
hours and strict
confidentiality
Survey 11.5 Presentation of a
model for
effective
preventative
student wellness
Downs et
al,22 2014
Single
site
n = 1008
(program)
n = 343
(program
and
screen)
Year 1:
93/148
(63%)
Year 2:
34/65
(52%)
Year 3:
27/49
(55%)
Year 4:
49/79
(62%)
4-year intervention
including an educational
group program
(lectures, workshops,
trainings) and a web-
based mental health
screening survey
Self-
assessment
and survey
13 Educate,
destigmatize,
identify, refer,
and treat
individuals with
depression and
increased suicide
risk
Moutier et
al,23 2012
Single
site
n = 498
n = 132
(screened)
--- Two-pronged
intervention consisting
of Grand Rounds
lecture on mental health
and a web-based mental
health screening survey
Self-
assessment
11.5 Develop a mental
health program to
address physician
and medical
student
depression and
suicide
Mind-Body Skills Education/Training Programs
Erogul et
al,24 2014
Single
site
n = 58 26/58
(45.6%)
8-week mindfulness-
based stress reduction
intervention for first-
year medical students
Self-
assessment
12 Assess whether
an abridged
mindfulness
based stress
reduction
intervention can
improve wellness
Holtzworth
-Munroe
et al,26
1985
Single
site
n = 40 --- 6 weekly meetings
focused on teaching
skills to reduce stress
levels (progressive
muscle relaxation, skills
to help recognize and
change maladaptive
thoughts, and
meditation techniques)
Self-
assessment
10 Help students
acquire and
develop skills to
cope with stress
Kraemer et
al,27 2016
Single
site
n = 52 (62.7%) Mind-body program
consisting of 11 weekly
skill training groups
focusing on mind-body
skills (biofeedback,
guided imagery,
relaxation, breathing
exercises, autogenic
training, and
meditation)
Self-
assessment
and survey
12 Describe changes
in distress
tolerance after
completing a
mind-body skills
training group
Rosenzweig
et al,29
2003
Single
site
n = 302 --- Mindfulness-based
stress reduction
including 10 weekly 90-
minute sessions
teaching mindfulness
meditation practices and
daily, independent
meditation
Self-
assessment
11 Examine the
effectiveness of
Mindfulness
Based Stress
Reduction
seminar
Finkelstein
et al,31
2007
Single
site
n = 72 Time 1:
Intervention
17/26
(77.3%)
Control
22/46
(61.1%)
Time 2:
Intervention
17/26
(77.3%)
Control
16/25
(80%)
Time 3:
Intervention
15/23
(75%)
Control
20/40
(62.5%)
Mind-Body Medicine:
An Experiential Elective
including 10 sessions of
didactic and small
group instruction
Self-
assessment
11 Assess the
effectiveness of a
stress reduction
elective on
second year
medical students
Greeson et
al,32 2015
Single
site
n = 44 29/44
(65%)
4 weekly 1.5-hour
small-group sessions
and home practice of
mind-body skills in
addition to monitoring a
weekly self-care goal
Self-
assessment
and
semistructured
interview
11.5 Evaluate the
feasibility,
acceptability, and
effectiveness of a
stress-
management and
self-case
workshop
Bond et
al,33 2013
Single
site
n = 27 --- 11-week Embodied
Health course
combining yoga
meditation and
neuroscience didactics
Self-
assessment
and
semistructured
interview
11.5 Evaluate the
psychologic
effects of an 11-
week mind-body
elective course
Curriculum Structure
Reed et
al,19 2011
See above in Grading Systems section
Camp et
al,35 1994
Single
site
n = 275 93/275
(33.8%)
Student-directed,
project-based learning
approach featuring
small-group, problem-
based sessions in which
both basic and clinical
science learning issues
are generated; lecture-
based learning is an
instructor-directed,
didactic approach
Self-
assessment
12 Assess changes in
depression among
medical students
enrolled in a
lecture-based
learning or
problem-based
learning program
Kornitzer
et al,36
2005
Single
site
n = 92 --- 6-week prematriculation
enrichment program
targeting educationally
disadvantaged students
(didactic sessions and
laboratory component)
Survey 7 Determine
whether
educationally
disadvantaged
students
participating in a
summer
enrichment
program were
reported to have
had an easier time
adjusting to
medical school
Multi-component Program Reform
Drolet and
Rodgers,37
2010
Single
site
n = 116 --- Vanderbilt Medical
Student Wellness
Program to promote
student health and well-
being through changes,
including faculty
mentoring (Advisory
College Program and
Vanderbilt Medical
Student Careers in
Medicine), curriculum
(VMS Live Program),
and student well-being
(Student Wellness
Committee)
Survey 6.5 Evaluate a
multicomponent
wellness program
Fleming et
al,38 2013
Single
site
n = 245 --- Initiatives, activities,
and resources including:
1) the Advisory College
Program for student
well-being and career
mentoring/advising with
an additional aim of
establishing
relationships between
students and faculty
serving as both teachers
and role models; 2) the
student-led Student
Wellness Committee
focused on peer
mentoring, social
community, and
mind/body wellness
programming; 3)
Vanderbilt Medical
Students Careers in
Medicine for career
exploration, advising
and planning, as well as
residency application
preparation; 4) VMS
Live Program focused
on the personal
development of
physicians-in-training;
and 5) the 4-year
College Colloquium
Course focused on
medical humanities and
formally addressing
professionalism, ethics,
and leadership skills
Survey 6 Reflect on and
describe learning
community
system and effect
on student
satisfaction
Real et
al,39 2015
Single
site
n = 450 (55%) Vanderbilt Wellness
Program including a
faculty-led mentoring
system, annual retreat
series, and student-led
programming
committee, all
organized around a
college system which
divides students into 1
of 4 colleges
Self-
assessment
and survey
10.5 The association
of a wellness
initiative on
distress
Slavin et
al,40 2014
Single
site
n = 875–
890
--- Phase 1: pass/fail
replaced 4-interval
(honors/near
honors/pass/fail)
grading system,
reduction in contact
hours by approximately
10%, longitudinal
electives, established 5
learning communities of
medical students and
faculty with common
interests beyond the
classroom
Phase 2: refined
pass/fail grading system
by eliminating norm
referenced performance
data,
resilience/mindfulness
program spanning 6
hours
Phase 3: modified
human anatomy course
to occur later in the first
year and to have
examinations with mean
scores consist with
other courses
Self-
assessment
and survey
12 Discuss the utility
and relevance of
curricular
changes and
association with
student mental
health
Strayhorn,41
1989
Single
site
n = 478
(responders
, original
sample
size not
provided)
--- Major curriculum
revision, including
seminar- and small
group-based learning,
analytical and problem-
solving skill building,
increased free time for
student learning, formal
instruction in social and
behavioral sciences,
increased mentoring,
and development of a
new
student/faculty/curriculum
evaluation system
Self-
assessment
12 Assess student
well-being and
perceptions on
medical school
learning
environment after
curriculum
change
Miscellaneous Wellness Programs
Whitehouse
et al,42
1996
Single
site
n = 35 (60%) Daily practice of self-
hypnosis and diary
records of sleep, mood,
physical symptoms, and
frequency of relaxation
practice
Self-
assessment
12 Determine the
effectiveness of a
self-
hypnosis/relaxation
intervention to
relieve symptoms
of psychologic
distress and
immune system
reactivity to
examination
stress
Goetzel et
al,44 1984
Single
site
n = 26 (45%) Human Dimensions
Program: biweekly,
self-help support group
Survey 9 Assess the quality
of support groups
at Albert Einstein
College of
Medicine
Lee and
Graham,45
2001
Single
site
n = 66 40/60
(66%)
6-week wellness
elective consisting of 1-
hour lectures by
physician presenters,
discussions, and writing
exercises
Survey 7 Explore students’
perceptions of
medical school
stress and to
assess their
perspective on the
wellness elective
Kushner et
al,46 2011
Single
site
n = 343 171/343
(49.8%)
Behavior change plan in
which students attempt
to change one of their
own health behaviors,
including a
mental/emotional health
personal goal
Self-
assessment
8 Teach medical
students the
principles and
practice of
behavior change
using a behavior
change plan
Group-based Faculty Advisor/Mentor Programs
Sastre et
al,47 2010
Single
site
n = 318 --- Faculty advisory
program, Advisory
College Program,
consisting of 4 advisory
colleges each co-led by
2 faculty members
nominated and
competitively selected
by a student committee;
Advisory College
Program faculty focus
on advising by
promoting wellness and
providing career
counseling
Survey 9.5 Determine if
Advisory College
Program is more
effective than 1-
on-1 mentoring
Coates et
al,48 2008
Single
site
n = 100 --- Group-based mentoring
program (the College
Program) exclusively
for fourth-year medical
students, which divided
students into academic
interest-based groups
led by a faculty chair
and included a team of
both faculty and student
mentors/advisors/role
models; the College
Program provided
mentoring, career
advising, and curricular
support
Survey 8 Change in fourth-
year curriculum
to include more
mentors
Ficklin et
al,49 1983
Single
site
n = 151 --- Small group-based
faculty advisor program
exclusively advising
first-year medical
students with goals of
increased
student/faculty
communication,
informal student/faculty
activities, increased
student-to-student
communication and
support, and decreased
anonymity; advisory
groups were maintained
as sections of larger
courses
Survey 6 Provide advice
and support in
areas of
documented
stress

MERSQI, Medical Education Research Study Quality Instrument.

Pass/fail grading system (average MERSQI=12.0)

Bloodgood et al14 (n=281, MERSQI=11.5) and Rohe et al15 (n=81, MERSQI=12.0) each described that a cohort of preclinical students graded according to a P/F grading system, compared with an earlier student cohort evaluated according to a 5-interval grading system (A/B/C/D/F), reported statistically significantly better well-being. They reported less anxiety, depression,14 and stress,15 and better well-being14 and group cohesion scores at various study timepoints.15 These two studies differed, however, in the durability of improvements. Bloodgood et al14 found no difference at 2 years between the cohort of students with a 2-year P/F system compared to a cohort of students with a 5-interval system on measures of anxiety (General Well-Being Schedule [GWB]16 anxiety subscore range 3–28; lower scores indicate more severe distress; there is no accepted minimum clinically important difference [MCID]; M=14.08 vs. 14.20; P=.86), depression (GWB16 depression subscore range 2–22; lower scores indicate more severe distress; there is no accepted MCID; M=15.56 vs. 15.35; P=0.71), or well-being (GWB16 well-being subscore range 3–18; lower scores indicate more severe distress; there is no accepted MCID; M=10.59 vs. 10.40; P=.67). Rohe et al15 did report a persistent difference at 2 years between grading cohorts on a measure of stress (Perceived Stress Scale [PSS]17 range 0–40; higher score indicates more stress; there is no accepted MCID; M[SD]=15.8 [6.8] vs. 20.5 [7.8]; P=.01) and speculated this difference was due to continuing reports of elevated group cohesion (Perceived Cohesion Scale18 range 0–36; higher scores indicate more cohesion; there is no accepted MCID; M[SD]=33.8 [8.0] vs. 29.0 [9.9]; P=.02).

Reed et al19 (n=2056, MERSQI=12.5) compared well-being among students at different medical schools with grading systems that were categorized as either 3+-interval (eg, honors/P/F) or P/F and found that 3+-interval systems were associated with statistically significantly more stress (β=1.91; 95% confidence interval [CI], 1.05–2.78; P<.001) and burnout (odds ratio [OR]=1.58; 95% CI, 1.24–2.01; P<.001), and a higher likelihood of considering withdrawing from medical school (OR=1.91; 95% CI, 1.30–2.80; P=.001).

Mental health programs (MERSQI=11.9)

Thompson et al20 (n=120, MERSQI=11.5) evaluated a multipronged program aimed at reducing mental health stigma and making services more accessible. The study found that significantly smaller proportions of the student cohort exposed to the program compared with the prior student cohort reported symptoms of mild or probable depression (14/58 (24.1%) vs. 26/44 (59.1%); P<.01) and suicidal ideation (1/33 (3.0%) vs. 13/43 (30.2%); P<.001).22 Seritan et al21 (n=not reported, MERSQI=11.5) examined a different multipronged mental health/wellness program offering prevention, support, and enhanced clinical services, which was associated with improved student ratings of personal counseling, mental health, and stress management services.21 Percentages of self-referral to mental health services increased from a baseline rate of 50% to a postintervention rate of 91%. For both findings, statistical significance was not reported.21

Two studies evaluated programs consisting of education and a web-based mental health screening survey to facilitate students’ use of mental health services. Downs et al22 (n=1008, MERSQI = 13.0) described a program that was associated with an increase in mental health service utilization and a decrease in assessed suicide risk during the 4 years that was not statistically significant, perhaps due to low screening rates (34%). Moutier et al23 (n=498, MERSQI = 11.5) reported that that 11% of medical students exposed to another educational program were referred to a mental health professional, though no comparison was provided and the screening rate was also low (27%).

Mind-body skills education/training programs (MERSQI=11.3)

Two RCTs evaluated mind-body programs. Erogul et al24 (n=58, MERSQI=12.0) found that students randomized to attend a mindfulness program reported a significant reduction in stress after intervention (PSS17 range 0–40; higher score indicates more stress; there is no accepted MCID; Mchange=3.63; 95% CI, 0.37–6.89; P=.03) but not at 6-month follow-up (Mchange=2.91; 95% CI, −0.37–6.19; P=.08). However, students in the mind-body program reported a significant increase in self-compassion that persisted at 6-month follow-up (Self-Compassion Scale [SCS]25 range 0–5; higher score indicates more self-compassion; there is no accepted MCID; Mchange=0.56; 95% CI, 0.25–0.87; P=.001).24 In the study by Holtzworth-Munroe et al26 (n=40, MERSQI=10.0), students randomized to a mind-body program were reported to have significantly more awareness of tension (F[5, 18]=37.16; P<.001), better ability to deal with school stress (F[5,18]=5.05; P<.04), and less test anxiety at 10-week follow-up (F[1,22]=10.42; P<.005).

Three studies evaluated mind-body programs using a pre-/post-test design with nonrandomized control groups. Kraemer et al27 (n=52, MERSQI=12.0) found that students undergoing mind-body skills training reported significantly improved distress tolerance (Distress Tolerance Scale-G28 range 1–5; higher scores indicate higher levels of distress tolerance; there is no accepted MCID; Mchange=0.53; 95% CI, .92 to .14; P=0.01); no difference was found for the control group. Rosenzweig et al29 (n=302, MERSQI=11.0) described a mindfulness-based stress reduction program associated with significant improvements in total mood disturbance (Profile of Mood States30 range 0–200; higher scores indicate higher mood disturbance; there is no accepted MCID; intervention group pre-M[SD]=38.7 [33.3] vs. post-M=31.8 [33.89]; P=0.05; control group pre-M[SD]=28.0 [31.2] vs. post-M=38.6 [32.8]; P<0.001; interaction P<.001). Finkelstein et al31 (n=72, MERSQI=11.0) found a significant group-time interaction association with improved anxiety (F[1,2]=3.95; P<.05).

Two studies evaluating medical student mind-body programs with a pre-/post-test design without a control group also reported associations with significant improvements in well-being. Greeson et al32 (n=44, MERSQI=11.5) reported improved stress (PSS17 range 0–40; higher score indicates more stress; there is no accepted MCID; pre-M[SD]=29.73 [9.61]; post-M[SD]=20.25 [9.03]; t33=7.90; P<.001; d=1.38) and mindfulness (pre-M[SD]=29.24 [5.54]; post-M[SD]=33.88 [6.13]; t33=5.27; P<.001; d=0.92). Bond et al33 (n=27, MERSQI=11.5) reported improved self-regulation (Self Regulation Questionnaire34 range 1–5; higher score indicates more self-regulation; there is no accepted MCID; Mchange[SD]= 0.13 [0.20]; P=.003; d=−0.41) and self-compassion (SCS25 range 0–5; higher score indicates more self-compassion; there is no accepted MCID; Mchange[SD]=0.28 [0.61]; P=.04; d=−0.55).

Curriculum structure (MERSQI=9.5)

Elements of curriculum structure targeted by studies identified in this review were varied. Reed et al19 (n=2056, MERSQI=12.5) compared elements of curriculum structure at different medical schools. Students who reported more clinical contact hours were significantly less likely to report serious thoughts of dropping out (OR=0.96; 95% CI, 0.93–1.00; P=.03). Although the number of tests was not associated with any difference in well-being, spending more time taking tests was associated with significantly higher perceived stress (β=0.29; 95% CI, 0.10–0.84; P=.003) and lower mental quality of life (β=2.79; 95% CI, 4.09–1.50; P<.001).19

Camp et al35 (n=275, MERSQI=12.0) found that students in a new problem-based learning curriculum, compared with a lecture-based one, had similar reports of depression with covariate adjustment. A prematriculation summer enrichment program for medicine and nonscience undergraduate majors from underrepresented groups described reports of gaining confidence, making friends, and perceiving an easier transition to medical school (n=92, MERSQI=7.0).36

Multicomponent program reform (MERSQI=9.4)

Vanderbilt University restructured its medical school learning environment, which, after multiple iterations, ultimately took the form of “learning communities” or colleges within the school. These intentionally developed groups of faculty and students work together longitudinally, with functions that include mentoring, wellness programming (including mind-body skill training, career advising, and personal and professional development), and formal medical humanities coursework. Several different studies evaluated the multicomponent program at various stages of its development and implementation. Drolet and Rodgers37 (n=116, MERSQI=6.5) evaluated the faculty advisor/mentor program after the addition of several components and found that 95% of students reported a positive experience with the Wellness Program. Fleming et al38 (n=245, MERSQI=6.0) assessed the association of the most recent program iteration, including colleges, and found that more than 91% of students reported that colleges contributed at least somewhat meaningfully to their medical school experience. Real et al39 (n=450, MERSQI=10.5) reported that students credited the program in general (and, more specifically, faculty mentors), the student-led programming committee, and annual retreats with lowering reported rates of burnout.

The Saint Louis University School of Medicine also undertook multicomponent program reform that was introduced in phases to preclinical students: (1) P/F grading for preclinical courses, reduced preclinical contact hours, extended electives, and learning communities; (1/2) addition of mind-body skills training; and (1/2/3) addition of anatomy course reform. As reported in a study by Slavin et al40 (n=890, MERSQI=12.0), Phase 1 was significantly associated with improved depression, stress, and cohesion by the end of the second year of UME. Phase 1/2 was associated with significantly improved anxiety, stress, and cohesion by the end of the first year of UME; depression was reported to be improved by the end of the second year of UME.40 Phase 1/2/3 was associated with statistically significant improvements in all measures of well-being by the end of the first year, persisting through the second year of UME.40

Strayhorn41 (n=478, MERSQI=12.0) compared one school’s curriculum changes to a comparison school and found significant time-school interactions that favored the changes with regard to reported stressors (F[1467]=6.41; P=.01), mental well-being (F[1460]=9.32; P=.002), and social well-being (F[1466]=5.37; P=.02).

Miscellaneous wellness programs (MERSQI=9.0)

In self-hypnosis training RCT, Whitehouse et al42 (n=35, MERSQI=12.0) reported significant improvements in anxiety (Brief Symptom Inventory43 range 20–80; higher scores indicate higher anxiety; there is no accepted MCID; F[3,96]=2.96; P<.05).42 A cross-sectional survey (n=26, MERSQI=9.0) about access to student support groups reported that a majority of students felt less lonely and unique with their problems.44 An evaluation of a wellness elective (n=66, MERSQI=7.0) reported that only a minority of students agreed or strongly agreed that it altered their report of the importance of well-being or permission for self-care, or provided coping strategies (no significance values reported).45 Kushner et al46 (n=343, MERSQI=8.0) evaluated a wellness course that included a section on behavior change plans; out of the 9 students who set mental/emotional health goals, 6 reported achieving their goals (no significance values reported).

Group-based faculty advisor/mentor programs (MERSQI=8.2)

Three studies evaluated small group-based faculty advisor/mentor programs that were formally integrated into the academic curriculum. Sastre et al47(n=318, MERSQI=9.5) evaluated a program in which competitively selected faculty had protected time for advising groups of students. Compared with students with traditional one-on-one volunteer faculty advisors, intervention students were significantly more likely to report that they agreed or strongly agreed that they were satisfied with how faculty advisors promoted wellness (72% vs. 27% ; P<.001) and that they agreed or strongly agreed that they would feel comfortable discussing their personal stress (62% vs. 24%; P<.001) or mental health with their advisor (51% vs. 27%; P<.001).47 Coates et al48 (n=100, MERSQI=8.0) reported that fourth-year medical students involved in an intervention said they felt connected with faculty and with classmates (no significance values reported).

The evaluation of a program exclusively for first-year students by Ficklin et al49 (n=151, MERSQI=7.0) reported that students stated they were better acquainted with their peers, became close with some classmates, and were helped with anxiety related to starting medical school as a result of the program, but there was no comparison group and no significance values reported.

Discussion

This systematic review identified hundreds of articles on the UME learning environment, but only a small subset contained empirically evaluated interventions. No studies included in this systematic review met the quality cutoff of 14.0.12 Improving the content and context of the delivery of UME will benefit from studies with rigorous design, objective data collection, and appropriate intervention comparators, as used in other scientific and educational fields. Despite these limitations in the evidence, there are a number of key findings from this review that may be relevant for US medical schools.

First, implementation of a preclinical P/F grading system should be considered. All of the studies reviewed here show that a preclinical P/F grading system improves medical student well-being. The duration of benefit can be finite, with any positive effect perhaps more likely to persist in the context of good medical school class cohesion.15 It is also important to consider educational repercussions of changing grading systems, to ensure that rigorous mastery of educational material and professional preparedness is balanced with student well-being. Two studies in this review addressed this concern by showing that P/F grading systems can be associated with improved well-being without any significant change in course test scores, including United States Medical Licensing Examination Step 1 and 2 scores and subsequent postresidency specialty board certification scores.14,15 This is consistent with other literature exclusively focused on academic outcomes of P/F grading.5052 According to the 2014–2015 Liaison Committee on Medical Education Annual Medical School Questionnaire, 87 of the 144 participating schools used P/F grading systems for at least some portion of the preclinical courses.53

Second, the accessibility and quality of mental health programs for medical students, as well as any stigma associated with these programs, should be taken into account.54 Students with mental health problems may be undertreated; in one study, fewer than half of the students who reported having contemplated suicide during medical school received counseling for their depression.55 Addressing mental health conditions with a formal program that includes treatment services is essential, and a multipronged program aimed at improving awareness, reducing stigma, and improving access to mental health professionals seems to be an efficacious approach, and is associated with lower depression and suicidal ideation rates.20

There are specific components of mental health programs that can be critical to improving students’ well-being. Barriers to medical students’ mental health treatment reported elsewhere include concern about stigma and lack of confidentiality, including fear of documentation in the academic record and evaluators’ knowledge of student mental health conditions with subsequent career implications.5559 Medical students reported preferring help from a mental health specialist, family, or friends, rather than medical school personnel,58 and reported preferring accessing mental health services through a location other than the office of student affairs.59 In other studies, students have reported concerns about time, convenience of office hours, location, and financial costs.5659 Although these are small studies of implementation issues, they are worth considering for the introduction of student mental health programs.

Third, introducing wellness programs that teach mind-body-based stress-reduction skills should be considered. The majority of studies in this category, including 2 RCTs, indicate that such programs are associated with reduced stress, anxiety, mood, and distress tolerance. This association was found even when skills were taught in condensed workshops lasting only 4 weeks,32 which is an important factor because programs must balance benefit derived from wellness programs with time investment.

Fourth, implementation of formal faculty advisor/mentor programs based in small groups and linked with curricular content should be examined. All 3 studies in this review that evaluated faulty advisor/mentor programs were highly regarded by students as a method of promoting wellness, although only one study tested for statistical significance.47 However, it is important that mentors do not grade students, to keep their role as advisors separate from assessment so as to foster open communication.49 A small group-based mentoring model—rather than a one-on-one mentoring system—reduces the number of required faculty mentoring positions, allowing medical schools to have competitive selection for a subset of excellent faculty and may even enable financial support for this function.49 Outstanding faculty mentors are critical to the success of any mentoring program, because they both relay explicit academic knowledge and exemplify implicit knowledge on professionalism, ethics, and values—the “hidden curriculum.”60

Fifth, the curriculum should be structured to balance clinical and nonclinical learning environments. Medical students report less burnout and stress when clinical time is increased.19 Many recent changes to curriculum have decreased clinical learning exposures, so consideration of where this movement can be reversed will be useful.

Sixth, comprehensive reform of the learning environment that incorporates many of these interventions is likely required. A detailed evaluation of the sequential implementation phases indicates that there may have been synergies among program components that were associated with improvements in medical student well-being.40

This study has a number of limitations. First, the primary studies varied widely in design, intervention content, and outcomes collected, precluding meta-analytic pooling. Second, the scope of the review was restricted to studies evaluating the quantitative effect of learning environment interventions on medical student well-being, although there are other aspects of the learning environment that deserve attention in a comprehensive redesign of the learning offered to medical students. Third, qualitative research was not included in this systematic review. Fourth, there are concerns about the ethics of randomization of education research.61,62 Historically, research conducted in established educational settings and involving normal educational practices were considered exempt from institutional review board oversight.63 However, issues of coercion and lack of informed consent about randomization of medical students when conducting learning environment interventions tests have recently been raised.64,65 These issues are complex and include whether there is a research component to the investigation of the education practice, whether there is an intent to publish, whether empirically established practices already exist, and whether the investigator has a hierarchical relationship to the participants, such as a clerkship director or faculty advisor holds. Guidance is provided elsewhere for future UME educators to decide when and under what circumstances randomization is ethical and practical for learning environment interventions.64,65

Conclusions

In this systematic review, limited evidence suggested that some specific learning environment interventions were associated with improved medical student emotional well-being. However, the overall quality of these studies was low, highlighting the need for high-quality medical education research.

Supplementary Material

Search Strategies

Key Points.

Question

What undergraduate medical education learning environment interventions are associated with improved emotional well-being among medical students?

Findings

In a systematic review of the medical literature, only 28 articles described empirically evaluated interventions and only 3 included randomization, so methodologic rigor was limited. However, some data support preclinical pass/fail grading, mental health programs, wellness programs, mentoring programs, curricular restructuring, and multicomponent program reform.

Meaning

There is limited evidence to support learning environment interventions for improvement of emotional well-being among medical students. There is a need for high-quality research.

Acknowledgments

Funding: Dr. Davidson was supported by research grant K24 HL084034. Dr. Wasson was supported by research grant K08 HS024598 01A1. Ms. Falzon was supported by research grant U24AG052175 and contract S15-0142, both from the National Institutes of Health and by Columbia University Medical Center.

Role of Sponsor: The funders had no role in the design and conduct of the study; collection, management, analysis, and interpretation of the data; preparation, review, or approval of the manuscript; and decision to submit the manuscript for publication.

Footnotes

Conflicts of Interest: No potential conflicts of interest relevant to this article were reported.

Access to Data: Drs. Davidson and Wasson had full access to all the data in the study and take responsibility for the integrity of the data and the accuracy of the data analysis.

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