Medical students in distress: a mixed methods approach to understanding the impact of debt on well-being.
Burnout
Debt
Diversity
Specialty choice
Well-being
Journal
BMC medical education
ISSN: 1472-6920
Titre abrégé: BMC Med Educ
Pays: England
ID NLM: 101088679
Informations de publication
Date de publication:
30 Aug 2024
30 Aug 2024
Historique:
received:
12
04
2024
accepted:
19
08
2024
medline:
31
8
2024
pubmed:
31
8
2024
entrez:
30
8
2024
Statut:
epublish
Résumé
Nearly three in four U.S. medical students graduate with debt in six-figure dollar amounts which impairs students emotionally and academically and impacts their career choices and lives long after graduation. Schools have yet to develop systems-level solutions to address the impact of debt on students' well-being. The objectives of this study were to identify students at highest risk for debt-related stress, define the impact on medical students' well-being, and to identify opportunities for intervention. This was a mixed methods, cross-sectional study that used quantitative survey analysis and human-centered design (HCD). We performed a secondary analysis on a national multi-institutional survey on medical student wellbeing, including univariate and multivariate logistic regression, a comparison of logistic regression models with interaction terms, and analysis of free text responses. We also conducted semi-structured interviews with a sample of medical student respondents and non-student stakeholders to develop insights and design opportunities. Independent risk factors for high debt-related stress included pre-clinical year (OR 1.75), underrepresented minority (OR 1.40), debt $20-100 K (OR 4.85), debt >$100K (OR 13.22), private school (OR 1.45), West Coast region (OR 1.57), and consideration of a leave of absence for wellbeing (OR 1.48). Mental health resource utilization (p = 0.968) and counselors (p = 0.640) were not protective factors against debt-related stress. HCD analysis produced 6 key insights providing additional context to the quantitative findings, and associated opportunities for intervention. We used an innovative combination of quantitative survey analysis and in-depth HCD exploration to develop a multi-dimensional understanding of debt-related stress among medical students. This approach allowed us to identify significant risk factors impacting medical students experiencing debt-related stress, while providing context through stakeholder voices to identify opportunities for system-level solutions.
Sections du résumé
BACKGROUND
BACKGROUND
Nearly three in four U.S. medical students graduate with debt in six-figure dollar amounts which impairs students emotionally and academically and impacts their career choices and lives long after graduation. Schools have yet to develop systems-level solutions to address the impact of debt on students' well-being. The objectives of this study were to identify students at highest risk for debt-related stress, define the impact on medical students' well-being, and to identify opportunities for intervention.
METHODS
METHODS
This was a mixed methods, cross-sectional study that used quantitative survey analysis and human-centered design (HCD). We performed a secondary analysis on a national multi-institutional survey on medical student wellbeing, including univariate and multivariate logistic regression, a comparison of logistic regression models with interaction terms, and analysis of free text responses. We also conducted semi-structured interviews with a sample of medical student respondents and non-student stakeholders to develop insights and design opportunities.
RESULTS
RESULTS
Independent risk factors for high debt-related stress included pre-clinical year (OR 1.75), underrepresented minority (OR 1.40), debt $20-100 K (OR 4.85), debt >$100K (OR 13.22), private school (OR 1.45), West Coast region (OR 1.57), and consideration of a leave of absence for wellbeing (OR 1.48). Mental health resource utilization (p = 0.968) and counselors (p = 0.640) were not protective factors against debt-related stress. HCD analysis produced 6 key insights providing additional context to the quantitative findings, and associated opportunities for intervention.
CONCLUSIONS
CONCLUSIONS
We used an innovative combination of quantitative survey analysis and in-depth HCD exploration to develop a multi-dimensional understanding of debt-related stress among medical students. This approach allowed us to identify significant risk factors impacting medical students experiencing debt-related stress, while providing context through stakeholder voices to identify opportunities for system-level solutions.
Identifiants
pubmed: 39215314
doi: 10.1186/s12909-024-05927-9
pii: 10.1186/s12909-024-05927-9
pmc: PMC11363506
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
947Informations de copyright
© 2024. The Author(s).
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