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Interviews in the Medical Physics residency match (too many, and what to do about it..)
Medical physics has a residency match, and like other residency matches it is suffering from (apparently) too many interviews.
Here's a signed editorial in the Journal of Applied Clinical Medical Physics (one correlate of it being an editorial rather than a paper is this:
"Received: 4 September 2019 | Accepted: 5 September 2019")
Some considerations in optimizing the Medical Physics Match
by Richard V. Butler1, John H. Huston1, eorge Starkschall2
1Department of Economics, Trinity University, San Antonio, TX,
2Department of Radiation Physics, The University of Texas MDAnderson Cancer Center, Houston, TX
"In 2018, 79% ofgraduates of CAMPEP‐accredited graduate programs were acceptedinto residency programs.4Consequently, to ensure a match, candi-dates interview at many programs. There is also a harmful feedbackmechanism here. As applicants apply to more programs, the accep-tance rate at each program declines. Consequently, applicants mayapply to even more programs to increase their perceived probability ofacceptance into a program. This is costly for the candidates in terms oftravel expenses, and costly for the interviewing faculty in terms oftime away from research, clinic, and teaching.
...
"Because the problem of optimal applications is an economicsproblem, there has been a search for solutions and a developing lit-erature on the subject. Balter et al.5show that limiting the numberof applications candidates can submit is superior to limiting the num-ber of applications a program can evaluate. Entering an applicationlimit into the Gale/Shapley algorithm that underlies the matchingprocess, the authors conclude that "the optimal limit in the numberof applications balances the tradeoff between being unmatched andgaining a better match in the aggregate, and the benefit can be con-siderable if the graduates'preferences over the positions are not very correlated.
...
"Another approach to a solution is "signaling." A program wouldbe permitted to notify a small number (somewhere between threeandfive) of applicants prior to interviews that it is seriously inter-ested in them. This gives the applicant useful information about his/her chances at that particular program and so makes the benefitfunction a bit less fuzzy. Because the problem in medical physicsseems to be more at the interview stage than the initial applicationstage, some form of signaling by institutions offering residenciesmight help reduce uncertainty so that at least some applicants couldfocus on the places where they have good chance and pass on visitsto some of their more marginal options."
***********
Here are earlier posts on the medical physics residency match.
Here's a signed editorial in the Journal of Applied Clinical Medical Physics (one correlate of it being an editorial rather than a paper is this:
"Received: 4 September 2019 | Accepted: 5 September 2019")
by Richard V. Butler1, John H. Huston1, eorge Starkschall2
1Department of Economics, Trinity University, San Antonio, TX,
2Department of Radiation Physics, The University of Texas MDAnderson Cancer Center, Houston, TX
"In 2018, 79% ofgraduates of CAMPEP‐accredited graduate programs were acceptedinto residency programs.4Consequently, to ensure a match, candi-dates interview at many programs. There is also a harmful feedbackmechanism here. As applicants apply to more programs, the accep-tance rate at each program declines. Consequently, applicants mayapply to even more programs to increase their perceived probability ofacceptance into a program. This is costly for the candidates in terms oftravel expenses, and costly for the interviewing faculty in terms oftime away from research, clinic, and teaching.
...
"Because the problem of optimal applications is an economicsproblem, there has been a search for solutions and a developing lit-erature on the subject. Balter et al.5show that limiting the numberof applications candidates can submit is superior to limiting the num-ber of applications a program can evaluate. Entering an applicationlimit into the Gale/Shapley algorithm that underlies the matchingprocess, the authors conclude that "the optimal limit in the numberof applications balances the tradeoff between being unmatched andgaining a better match in the aggregate, and the benefit can be con-siderable if the graduates'preferences over the positions are not very correlated.
...
"Another approach to a solution is "signaling." A program wouldbe permitted to notify a small number (somewhere between threeandfive) of applicants prior to interviews that it is seriously inter-ested in them. This gives the applicant useful information about his/her chances at that particular program and so makes the benefitfunction a bit less fuzzy. Because the problem in medical physicsseems to be more at the interview stage than the initial applicationstage, some form of signaling by institutions offering residenciesmight help reduce uncertainty so that at least some applicants couldfocus on the places where they have good chance and pass on visitsto some of their more marginal options."
***********
Here are earlier posts on the medical physics residency match.
Such is the article Interviews in the Medical Physics residency match (too many, and what to do about it..)
That's an article Interviews in the Medical Physics residency match (too many, and what to do about it..) this time, hopefully it can benefit you all. well, see you in other article postings.
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