| Literature DB >> 35795516 |
Eric Poon1, Paul Bissonnette1, Sina Sedighi1, Wyatt MacNevin2, Ketan Kulkarni3.
Abstract
Introduction Financial literacy correlates with less debt and better retirement planning. Medical students, residents, and physicians often have poor financial literacy and large amounts of debt. We measured baseline financial literacy and whether it improved with the administration of a financial literacy course. Methods We created the Medical Mini-MBA,a six-week financial literacy course that targeted gaps in financial literacy among medical students and residents. Weekly topics included personal finance, investing, real estate and mortgage, physician billing and payment models, income and tax, and choosing a medical specialty. A 46-question financial literacy assessment was delivered to participants before and after the course. Results Of the 276 who participated in the course, 179 (64.86%) participated in the study. Participants who completed the course improved their financial literacy score by 10.10/46.00±5.12 (n=93, p<0.001). Self-assessment of financial literacy was positively correlated with financial literacy exam scores (r=0.366, p<0.001). Demographics such as gender, geography, education level, and first-degree relatives who are/were physicians had no effect on financial literacy scores. Conclusions The Medical Mini-MBA improved financial literacy at a Canadian medical school. Implementation of the coursemay equip medical students and residents for financial decisions. It avoids financial conflicts of interest and can supplement the medical curriculum.Entities:
Keywords: financial literacy; financial planning; medical student; postgraduate education; undergraduate medical education; wellness
Year: 2022 PMID: 35795516 PMCID: PMC9250131 DOI: 10.7759/cureus.25595
Source DB: PubMed Journal: Cureus ISSN: 2168-8184
Medical Mini-MBA course syllabus
RRSP: registered retirement savings plan; TFSA: tax-free savings account; ETF: exchange-traded fund; REIT: real estate investment trust
| Week & Date | Topics and learning objectives |
| Week 1 | Financial literacy & personal finance in medical school residency. Financial myths reducing debt incomes & investing overview. Social determinants of wealth |
| Week 2 | Investing Introduction to capital markets: what are stocks and bonds? How markets work (efficient market hypothesis). Why is investing important? A sensible approach to investing. Active vs. passive empirical evidence. Practical implications of efficient market theory. Concentration vs. diversification. Asset allocation: stocks, bonds, cash, debt, and human capital. Asset location: RRSP, TFSA, taxable, corporation. Housing decision: rent vs. buy and the 5% rule. Where to find financial advice DIY online research. Pitfalls of individual investors. Fee-based financial advice. Robo-advisors. Asset allocation ETFs |
| Week 3 | Real estate & mortgage. Buy vs rent. Price-rent ratio. Loan, mortgage, and insurance. What can I afford? Real estate market REITs. Passive income |
| Week 4 | How physicians are paid: introduction to payment models. Academic vs community practice remuneration models pros & cons. How much do I earn in each model? MD “side hustle”: non-clinical work as medical students, residents, and staff |
| Week 5 | Income & tax. Early stage of career. Gain an understanding of personal tax & credits available. Middle stage of career. How to minimize tax burden during years earning high income. Late stage of career. How to plan for retirement to preserve wealth |
| Week 6 | Choosing your specialty: remuneration and employment factors. Income lifestyle. Employment landscape and projection |
Parental education status of participants
| Education | Maternal | Paternal | ||
| n | Percentage (%) | Frequency | Percentage (%) | |
| Less than high school | 4 | 2.2 | 3 | 1.7 |
| High school | 14 | 7.8 | 12 | 6.7 |
| College or technical training | 42 | 23.5 | 39 | 21.8 |
| Bachelor | 65 | 36.3 | 50 | 27.9 |
| Master | 22 | 12.3 | 25 | 14.0 |
| Doctorate | 4 | 2.2 | 16 | 8.9 |
| Professional | 34 | 19.0 | 39 | 21.8 |
Participant demographics
| Pre-intervention | Post-intervention | |||||
| n | Percentage (%) | Score | n | Percentage (%) | ||
| N (total) | 179 | 100 | - | 93 | 100 | |
| Gender | Male | 70 | 39.1 | 12.69 ± 6.90 | 36 | 38.7 |
| Female | 107 | 59.8 | 11.24 ±5.89 | 57 | 61.3 | |
| Non-binary | 1 | 0.6 | 9.00 | 0 | 0 | |
| Prefer not to say | 1 | 0.6 | 9.00 | 0 | 0 | |
| Age | <25yo | 58 | 32.4 | 10.40 ± 5.15 | 28 | 30.4 |
| 26-30yo | 95 | 53.1 | 12.28 ± 6.96 | 6 | 60.2 | |
| >30yo | 26 | 14.5 | 13.04 ± 5.79 | 9 | 9.7 | |
| Geography | Urban | 141 | 78.8 | 10.08 ± 5.84 | 71 | 76.3 |
| Rural | 38 | 21.2 | 12.24 ± 6.36 | 22 | 23.7 | |
| Marital status | Single | 133 | 74.3 | 11.38 ± 6.33 | 69 | 74.2 |
| Married | 20 | 11.2 | 13.80 ± 6.77 | 11 | 11.8 | |
| Common law | 25 | 14.0 | 12.44 ±5.73 | 13 | 14.0 | |
| Separated | 1 | 0 | 9.00 | 0 | 0 | |
| Year of study | M1 | 50 | 27.9 | 11.12 ± 6.13 | 23 | 24.7 |
| M2 | 47 | 26.3 | 11.09 ± 5.66 | 29 | 31.2 | |
| M3 | 31 | 17.3 | 13.00 ±5.60 | 13 | 14.0 | |
| M4 | 29 | 16.2 | 11.97 ± 8.07 | 18 | 19.4 | |
| PGY1 | 8 | 4.5 | 13.38 ± 6.44 | 4 | 4.3 | |
| PGY2 | 12 | 6.7 | 12.25 ±7.24 | 4 | 4.3 | |
| PGY4 | 2 | 1.1 | 14.00 ±1.41 | 2 | 2.2 | |
| Education | Master | 45 | 25.1 | 11.36 ± 6.22 | 21 | 22.6 |
| Doctorate | 7 | 3.9 | 12.29 ± 2.56 | 4 | 4.3 | |
| Professional | 16 | 8.9 | 14.31 ± 6.98 | 9 | 9.7 | |
| Self-reported financial literacy | Poor | 10 | 5.6 | 8.80 ± 6.23 | 2 | 2.2 |
| Not good | 51 | 28.5 | 9.61 ± 5.33 | 13 | 14.0 | |
| Average | 71 | 39.7 | 11.39 ± 6.42 | 41 | 44.1 | |
| Good | 42 | 23.5 | 14.86 ± 5.37 | 32 | 34.4 | |
| Excellent | 5 | 2.8 | 19.60 ±7.02 | 5 | 5.4 | |
Effect of self-reported financial literacy, financial stress, and retirement plan on marginal mean financial literacy exam score
| Self-reported financial literacy | n | % | Marginal mean score (95% CI) |
| Poor | 10 | 5.6 | 9.31 (5.40-13.23) |
| Not good | 51 | 28.5 | 9.49 (7.53-11.45) |
| Average | 71 | 39.7 | 12.52 (10.73-14.32) |
| Good | 42 | 23.5 | 15.36 (13.27-17.44) |
| Excellent | 5 | 2.8 | 19.60 (14.30-24.90) |
| Financial stress | n | % | Marginal mean Score (95% CI) |
| Very high | 4 | 2.2 | 12.25 (6.33-18.17) |
| High | 12 | 12.8 | 9.42 (6.77-12.07) |
| Moderate | 79 | 44.1 | 12.06 (10.26-13.86) |
| Low | 66 | 36.9 | 14.67 (12.78-16.56) |
| Very low | 7 | 3.9 | 11.17 (6.539-15.794) |
| Retirement plan | n | % | Marginal mean Score (95% CI) |
| Yes | 43 | 24 | 15.06 (13.05-17.07) |
| No | 136 | 76 | 10.69 (9.34-12.05) |