COVID-19 has transformed dermatology residency recruitment into a largely virtual process. Benefits include increased environmental and cost sustainability, whereas drawbacks include fewer in-person opportunities to determine program fit. In light of stakeholders soon deciding how best to move forward, we provide an estimate of carbon emission and applicant cost savings associated with maintaining virtual residency recruitment.
To inform our predictions, we extracted applicant medical school and residency information from a previously published cohort of 2,580 allopathic medical students matching into dermatology, spanning 15 years, and corresponding to the release of National Resident Matching Program (NRMP) annual reports.1
To generate carbon emission estimates, we used the GeoPy Python library, OpenCage Geocoding Application Programming Interface (API), and Google Distance Matrix API to calculate roundtrip distance in miles between applicant medical school city and residency program city to estimate interview distance (ID). This distance was multiplied by Environmental Protection Agency carbon emission per mile estimates to obtain carbon emissions per interview in kilograms of CO2 (CEInterview).2 Travel method was assumed to be car if roundtrip distance was ≤400 miles or airplane if >400 miles. CEInterview was multiplied by average number of interviews per applicant and total number of dermatology applicants, per NRMP, to obtain carbon emissions for all dermatology applicants.3
To generate inflation-adjusted cost savings estimates, we considered in-person interview costs previously estimated at $500 per interview.4 In-person interview costs were multiplied by total number of applicants and median number of interviews, again per NRMP, to obtain total cost savings per year.3
Among 2,580 matched dermatology applicants, median ID and CEInterview were 496 miles and 101 kilograms CO2, respectively (Table 1). Applicants save an estimated $4,696 with virtual recruitment (Table 2).
Table 1:
Estimated Carbon Emissions Associated with In-Person Residency Interviews Across Academic Years Corresponding to Historic National Resident Matching Program Reports
2007 | 2009 | 2011 | 2014 | 2016 | 2018 | 2021a | ||
---|---|---|---|---|---|---|---|---|
Median Interview Distance (Round-trip, Miles) | 436 | 500 | 471 | 608 | 587 | 471 | 424 | |
Median CEInterview (kg of CO2)b | 92 | 105 | 98 | 106 | 108 | 106 | 94 | |
Interviews | Matched | 8.0 | 8.5 | 9.0 | 8.9 | 8.9 | 9.3 | 9.9 |
Unmatched | 3.0 | 3.8 | 3.1 | 3.8 | 4.2 | 4.3 | 4.5 | |
Applicants | Matched | 249 | 286 | 307 | 352 | 339 | 340 | 388 |
Unmatched | 158 | 125 | 80 | 111 | 93 | 72 | 70 | |
Total Carbon Emissions (Thousands of kg CO2) c | 350 | 423 | 493 | 666 | 557 | 576 | 645 |
Abbreviations: CE, carbon emission; kg, kilogram
2021 interview distance and carbon emissions are theoretical as in-person interviews were not conducted during this cycle due to COVID-19.
2021 Environmental Protection Agency for CO2 emissions were utilized for calculations: 0.341 kg/vehicle mile for passenger cars; 0.131 kg/passenger mile for flights 400–2300 miles; and 0.161 kg/passenger-mile for flights greater than 2300 miles.
Calculated by multiplying median CEInterview * [(# of matched applicants * average number of interviews per matched applicant) + [(# of unmatched applicants * average number of interviews per unmatched applicant)]. Number of applicants and number of interviews obtained from National Resident Matching Program.
Table 2:
Inflation-Adjusted Estimated Costs Savings with Virtual Residency Interviews Across Academic Years Corresponding to Historic National Resident Matching Program Reports
2007 | 2009 | 2011 | 2014 | 2016 | 2018 | 2021 | ||
---|---|---|---|---|---|---|---|---|
Applicants | Matched | 249 | 286 | 307 | 352 | 339 | 340 | 388 |
Unmatched | 158 | 125 | 80 | 111 | 93 | 72 | 70 | |
Interviews | Matched | 8.0 | 8.5 | 9.0 | 8.9 | 8.9 | 9.3 | 9.9 |
Unmatched | 3.0 | 3.8 | 3.1 | 3.8 | 4.2 | 4.3 | 4.5 | |
Savings Per Applicant a | Matched | $4,859 | $5,160 | $5,464 | $5,404 | $5,405 | $5,463 | $6,008 |
Unmatched | $1,822 | $2,307 | $1,882 | $2,307 | $2,551 | $2,609 | $2,731 | |
Total Savings All Derm Applicants (Millions of Dollars)b | $1.5 | $1.8 | $1.8 | $2.2 | $2.1 | $2.1 | $2.5 |
Based on previous estimate of $500 (in 2014 dollars) per in-person interview * Avg. # of accepted interviews per applicant for each corresponding year.
Calculated by multiplying Cost Per Applicant * Total number of dermatology applicants for each corresponding year.
Extrapolated across all dermatology applicants, virtual recruitment saves ~530 thousand kilograms CO2 annually, the average annual energy use of 67 households. As the consequences of anthropogenic climate change continue to manifest, the medical community must act to mitigate these effects. Cost savings extrapolate to ~$2 million annually across all dermatology applicants, which would benefit medical graduates saddled with an ever-increasing debt burden.
Limitations include sparse data on unmatched applicants and relying on distance between medical school and residency program city as a surrogate for average distance traveled per interview, as we cannot access individual applicant interview data. As our methodology assigns CE=0 for applicants matching at home programs, CEInterview is likely an underestimate. Furthermore, our $500 estimate per interview is extrapolated from a survey study from urology, whose costs may differ from dermatology, and our 400-mile threshold distinguishing car and plane travel for interviews was an educated estimate.4
Our study considered interview costs and carbon emissions as proxies for financial and environmental savings. However, other variables including program cost savings and non-carbon emissions (e.g., nitrogen oxides, aerosols) were not studied. Future research should assess how advantages of in-person interviewing (e.g., better assessing program/city fit) weigh against the disadvantages of added cost and carbon emissions. Stakeholders should consider these benefits while minimizing drawbacks when determining how to proceed with the residency recruitment process.
Acknowledgments:
We would like to thank the American Society for Dermatologic Surgery; the National Resident Matching Program Data Request Team; and the following medical students for helping to gather applicant data: Anna Eversman, Mehak Kalra, Frederick Morgan, Elizabeth Obi, Wilhemina Osei-Koomson, Emma Russell, and Angela Wei.
Funding Sources:
Research was supported in part by the National Institute of Arthritis and Musculoskeletal and Skin Diseases of the National Institutes of Health under Award Numbers T32AR007569. The content of this manuscript is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health.
Role of Funder/Sponsor Statement:
The funding source had no role in 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
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This study was considered exempt by University Hospitals of Cleveland Institutional Review Board
Conflicts of Interest: TRS serves as dermatology residency program director at University Hospitals/Case Western Reserve University.
Access to Data and Data Analysis: Jatin Narang and Timmie Sharma 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. The Python libraries and Application Programing Interfaces used were GeoPy (https://geopy.readthedocs.io/en/stable), OpenCage Geocoding (https://opencagedata.com/), and Google Distance Matrix (https://developers.google.com/maps/documentation/distance-matrix).
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