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 |
--- --- --- |
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.86–88
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
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.50–52 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.55–59 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.56–59 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
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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