1Department of Preventive Medicine, Korea University College of Medicine, Seoul, Korea
2Department of Internal Medicine, College of Medicine, The Catholic University of Korea, Seoul, Korea
3Damyang-gun Public Health Care Center, Damyang, Korea
4Department of Psychiatry, Dankook University College of Medicine, Cheonan, Korea
5Korean Intern Resident Association, Seoul, Korea
6Department of Obstetrics and Gynecology, Korea University College of Medicine, Seoul, Korea
7Institute for Occupational and Environmental Health, Korea University, Seoul, Korea
© 2021 Korea Health Personnel Licensing Examination Institute
This is an open-access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Authors’ contributions
Conceptualization/study design: SS, KJL. Data acquisition: SS, YS, SL, JL. Data analysis: SS, KJL. Data interpretation: SS, YS, SL, KJL. Writing–draft: SS, KJL. Writing–review & editing: SS, YS, YJ, SL, JL, KJL.
Conflict of interest
Although survey data were provided by the Korean Intern Resident Association, this study reflects the authors’ opinions and does not constitute an official opinion of the Association. No potential conflict of interest relevant to this article was reported.
Funding
None.
Data availability
Data files are available from Harvard Dataverse: https://doi.org/10.7910/DVN/QWXJJE
Dataset 1. Raw data of the responses without the identification of individual training institutions.
Editor’s note
This study presents rare data on medical residents’ working and learning environment before and after the Medical Resident Act in Korea. Although the Act was passed on December 3, 2015, its implementation started in 2017. As I reviewed this manuscript, it was somewhat confusing because each year’s survey items were different. The authors selected items with a common meaning, even though the wording was not the same. Furthermore, no reliability testing was conducted due to the use of variable item types. The data were analyzed using non-parametric inferential statistics. Thus, some aspects of this work may not have been ideally organized for an annual follow-up study. Nonetheless, this study presents essential data for understanding the situation around the period of implementation of the Medical Resident Act in Korea, which took place 26 years after the case described in the New York Statement, United States. I vividly remember how I worked at a university hospital as an intern from May 1985 to February 1986. During this period, I worked more than 110 hours a week. Such overwork may cause problems for patient safety. This article shows that the working hours of residents decreased after the enactment and implementation of the Medical Resident Act. Furthermore, residents became more satisfied with their learning environment year by year. I hope that other researchers will analyze the data if they are interested, although the questionnaires and responses are written in Korean. Please contact the corresponding author for more detailed information and an English translation.
Values are presented as median (interquartile range) considering the skewness of the data distribution or number (%), unless otherwise stated. Comparisons are shown between years (‘a’, ‘b’, ‘c’, and ‘d’ denote no statistical significance if they are the same letter, and show statistical significance if they are different letters).
NA, not assessed.
Statistical significance was calculated using a)the Cochran–Armitage test or the Kruskal-Wallis test and Wilcoxon rank-sum test with the Bonferroni correction.
Values are presented as median (interquartile range) considering the skewness of the data distribution. Statistical significance was calculated using the Kruskal-Wallis test and Wilcoxon rank-sum test with the Bonferroni correction. Comparisons are shown between years (‘a’, ‘b’, ‘c’, and ‘d’ denote no statistical significance if they are the same letter, and show statistical significance if they are different letters).
NA, not assessed.
Values are presented as number (%) or median (interquartile range) considering the skewness of the data distribution, unless otherwise stated. Group A: tertiary hospitals; group B: general hospitals with 100 or more training physicians; group C: general hospitals with less than 100 training physicians, single-specialty hospitals, or other teaching institutions not classified in groups A or B. Comparisons are shown between years (‘a’, ‘b’, ‘c’, and ‘d’ denote no statistical significance if they are the same letter, and show statistical significance if they are different letters).
NA, not assessed; PGY, postgraduate year.
Statistical significance was calculated using a)the Cochran–Armitage test or the Kruskal-Wallis test and Wilcoxon rank-sum test with the Bonferroni correction.
Group A: tertiary hospitals; group B: general hospitals with 100 or more training physicians; group C: general hospitals with <100 training physicians, single-specialty hospitals, or other teaching institutions not classified in groups A or B. Statistical significance was calculated using the Cochran–Armitage test or the Jonckheere-Terpstra test.
PA, physician assistant; PGY, postgraduate year; NA, not assessed.
Characteristic | Year |
|||
---|---|---|---|---|
2016 | 2017 | 2018 | 2019 | |
Total PGYs per year | 14,370 | 13,954 | 13,767 | 13,636 |
No. of respondents (%) | 2,984 (20.8) | 3,566 (25.6) | 3,779 (27.5) | 4,700 (34.5) |
Institution type (%) | ||||
Group A | 2,239 (75.0) | 2,628 (73.7) | 2,739 (72.5) | 3,150 (67.0) |
Group B | 344 (11.5) | 492 (13.8) | 553 (14.6) | 750 (16.0) |
Group C | 401 (13.4) | 446 (12.5) | 487 (12.9) | 800 (17.0) |
Postgraduate year (%) | ||||
Intern (PGY-1) | 709 (23.8) | 955 (26.8) | 911 (24.1) | 1108 (23.6) |
R-1 (PGY-2) | 472 (15.8) | 633 (17.8) | 642 (17.0) | 873 (18.6) |
R-2 (PGY-3) | 566 (19.0) | 640 (18.0) | 647 (17.1) | 870 (18.5) |
R-3 (PGY-4) | 621 (20.8) | 711 (19.9) | 803 (21.3) | 979 (20.8) |
R-4 (PGY-5) | 616 (20.6) | 627 (17.6) | 776 (20.5) | 870 (18.5) |
Specialty (%) | ||||
Internal medicine | 442 (19.4) | 461 (17.7) | 481 (16.8) | 643 (17.9) |
Medical specialties other than internal medicine | 397 (17.5) | 453 (17.4) | 547 (19.1) | 673 (18.7) |
General surgery | 133 (5.9) | 136 (5.2) | 124 (4.3) | 180 (5.0) |
Surgical specialties other than general surgery | 467 (20.5) | 605 (23.2) | 633 (22.1) | 744 (20.7) |
Other areas | 836 (36.8) | 955 (36.6) | 1083 (37.8) | 1352 (37.6) |
Variable | Year |
P-value | |||
---|---|---|---|---|---|
2016 | 2017 | 2018 | 2019 | ||
Consecutive work shifts (no./wk) | |||||
Internal medicine | 2 (1–3) | 2 (1–3) | 2 (1–2) | NA | 0.34 |
Medical specialties other than internal medicine | 2 (0–3) | 2 (1–3) | 2 (1–3) | NA | 0.19 |
General surgery | 3 (2–3)a | 2 (2–3)b | 2 (2–2.5)b | NA | <0.001 |
Surgical specialties other than general surgery | 2 (1–3)a | 2 (1–3)a,b | 2 (2–3)b | NA | <0.001 |
Experienced over 36 hours of continuous shift work in the last 4 weeks (%) | 1,026/2,984 (34.4) | 899/2,801 (32.1) | 1,291/3,779 (34.2) | 1,123/4,700 (23.9) | <0.001a) |
Rest after a consecutive shift work (hr) | |||||
Internal medicine | 0 (0–6)a | 0 (0–10)b | 1.5 (0–11)c | 10 (8–12)d | <0.001 |
Medical | 0 (0–12)a | 3.3 (0–12)b | 4 (0–12)b | 12 (9–13)c | <0.001 |
General surgery | 0 (0–8)a | 0 (0–10)a | 0 (0–10)a | 10 (8–12)b | <0.001 |
Surgical | 0 (0–6)a | 1 (0–10)b | 5 (0–10)b | 10 (6–12)c | <0.001 |
Average daily sleep hours in the previous week (hr) | 6 (5–6)a | 6 (5–6)a | 6 (5–6)b | NA | <0.001 |
Lunch breaks last week (time/wk) | NA | 5 (4–7)a | 4 (2–5)b,c | 4 (2–5)c | <0.001 |
24-hour period off duty in the last 4 weeks (times/wk) | 4 (1–6)a | 4 (2–6)b | 4 (4–6)c | NA | <0.001 |
Vacation days actually taken last year (day) | 10 (7–14)a | 10 (10–14)b | 14 (10–14)c | 11 (10–14)d | <0.001 |
Variable | Year |
P-value | |||
---|---|---|---|---|---|
2016 | 2017 | 2018 | 2019 | ||
Admitted patient load during regular shifts (no.) | NA | ||||
Internal medicine | 20 (20–27) | 20 (18–25) | 20 (18–25) | 0.84 | |
General surgery | 25 (18–30) | 25 (20–30) | 20 (15–30) | 0.07 | |
Admitted patient load during extended shifts (no.) | NA | ||||
Internal medicine | 90 (50–120)a | 120 (80–150)b | 100 (70–150)b | <0.001 | |
General surgery | 80 (50–100)a | 90 (70–120)b | 80 (60–100)a,b | 0.03 |
Variable | Year |
P-value | |||
---|---|---|---|---|---|
2016 | 2017 | 2018 | 2019 | ||
Awareness of training achievement goals (%) | 1,179/2,189 (53.9) | 952/1,378 (69.1) | 1,843/2,589 (71.2) | NA | <0.001a) |
Interns (PGY 1) | 161/551 (29.2) | 14/32 (43.8) | 333/571 (58.3) | <0.001a) | |
Residents (PGY 2–5) | 1,018/1,638 (62.2) | 938/1,346 (69.7) | 1,510/2,018 (74.8) | <0.001a) | |
Establishment of a training program for each goal (Likert score) | 3 (2–4)a | 3 (2–4)b | 3 (3–4)b | 4 (3–4)c | <0.001 |
Group A | 3 (2–4)a | 3 (2–4)b | 3 (3–4)b | 4 (3–4)c | <0.001 |
Group B | 3 (2–4)a | 3 (2–4)a,b | 3 (2–4)b | 3 (3–4)c | <0.001 |
Group C | 3 (2–4)a | 3 (2–4)a,b | 3 (3–4)b | 4 (3–4)c | <0.001 |
Providing sufficient training for attending educators (Likert score) | 3 (2–4)a | 3 (2–4)a | 3 (3–4)b | 3 (3–4)b | <0.001 |
Confidence in practicing the specialty without supervision after training | 3 (2–4)a | 3 (2–4)b | 3 (3–4)c | 3 (3–4)d | <0.001 |
Variable | Year |
P-value | |||
---|---|---|---|---|---|
2016 | 2017 | 2018 | 2019 | ||
Non-essential physician tasks (%) | 18.5 | 18.5 | 22.6 | 18.1 | <0.001 |
Interns (PGY 1) | 25.8 | 25.7 | 29.4 | 23.8 | <0.001 |
Residents (PGY 2–5) | 16.3 | 15.9 | 20.4 | 16.4 | <0.001 |
Involvement of PAs in medical practice (no., %) | 2,617/2,984 (87.7) | 1,992/2,606 (76.4) | 2,821/3,779 (74.7) | NA | <0.001 |
Group A | 1,991/2,239 (88.9) | 1,491/1,930 (77.3) | 2,025/2,739 (73.9) | <0.001 | |
Group B | 295/344 (85.8) | 273/350 (78) | 440/553 (79.6) | 0.02 | |
Group C | 331/401 (82.5) | 228/326 (69.9) | 356/487 (73.1) | <0.001 | |
Educational deprivation sense due to the institution’s PA: yes (no., %) | 523/2,984 (17.5) | 495/1,970 (25.1) | 722/2,821 (25.6) | NA | <0.001 |
Group A | 421/2,239 (18.8) | 379/1,476 (25.7) | 508/2,025 (25.1) | <0.001 | |
Group B | 50/344 (14.5) | 65/269 (24.2) | 117/440 (26.6) | <0.001 | |
Group C | 52/401 (13) | 51/225 (22.7) | 97/356 (27.3) | <0.001 |
Group A: tertiary hospitals; group B: general hospitals with 100 or more training physicians; group C: general hospitals with <100 training physicians, single-specialty hospitals, or other teaching institutions not classified in groups A or B. PGY, postgraduate year; R, residency year.
Values are presented as median (interquartile range) considering the skewness of the data distribution or number (%), unless otherwise stated. Comparisons are shown between years (‘a’, ‘b’, ‘c’, and ‘d’ denote no statistical significance if they are the same letter, and show statistical significance if they are different letters). NA, not assessed. Statistical significance was calculated using a)the Cochran–Armitage test or the Kruskal-Wallis test and Wilcoxon rank-sum test with the Bonferroni correction.
Values are presented as median (interquartile range) considering the skewness of the data distribution. Statistical significance was calculated using the Kruskal-Wallis test and Wilcoxon rank-sum test with the Bonferroni correction. Comparisons are shown between years (‘a’, ‘b’, ‘c’, and ‘d’ denote no statistical significance if they are the same letter, and show statistical significance if they are different letters). NA, not assessed.
Values are presented as number (%) or median (interquartile range) considering the skewness of the data distribution, unless otherwise stated. Group A: tertiary hospitals; group B: general hospitals with 100 or more training physicians; group C: general hospitals with less than 100 training physicians, single-specialty hospitals, or other teaching institutions not classified in groups A or B. Comparisons are shown between years (‘a’, ‘b’, ‘c’, and ‘d’ denote no statistical significance if they are the same letter, and show statistical significance if they are different letters). NA, not assessed; PGY, postgraduate year. Statistical significance was calculated using a)the Cochran–Armitage test or the Kruskal-Wallis test and Wilcoxon rank-sum test with the Bonferroni correction.
Group A: tertiary hospitals; group B: general hospitals with 100 or more training physicians; group C: general hospitals with <100 training physicians, single-specialty hospitals, or other teaching institutions not classified in groups A or B. Statistical significance was calculated using the Cochran–Armitage test or the Jonckheere-Terpstra test. PA, physician assistant; PGY, postgraduate year; NA, not assessed.