| Literature DB >> 36142111 |
Laura Arnold1,2,3, Lisa Kellermann3, Florian Fischer3,4,5, Sophie Gepp3,6, Franziska Hommes3, Laura Jung3,7, Amir Mohsenpour3,8,9, Dagmar Starke1, Jan M Stratil3.
Abstract
As in many European countries, the Public Health Service (PHS) in Germany has had considerable difficulties in attracting well-qualified personnel for decades. Despite ongoing political and societal debate, limited empirical research on possible causes and explanations is available. To identify areas of action, we explored reasons for the (lack of) interest in working in the PHS by conducting two cross-sectional surveys among 3019 medical students (MS), public health students, and students from other PHS-relevant fields (PH&ONM) in Germany right before (wave 1, 2019/2020) and during the COVID-19 pandemic (wave 2, 2021). While interest in working in the PHS among MS was low, it was considerably higher among PH&ONM. The prevalent underestimation of the importance of public health and low levels of knowledge about the PHS were identified as potential barriers. Although core activities of the PHS were often considered attractive, they were repeatedly not attributed to the PHS. A negative perception of the PHS (e.g., it being too bureaucratic) was prevalent among students with and without PHS interest, indicating that both a negative image and potentially structural deficits need to be overcome to increase attractiveness. Based on the findings, we propose approaches on how to sustainably attract and retain qualified personnel.Entities:
Keywords: Germany; OeGD-Studisurvey; capacity building; health services administration; job satisfaction; public health services; public health workforce; survey research methods; workforce development; workforce research
Mesh:
Year: 2022 PMID: 36142111 PMCID: PMC9517554 DOI: 10.3390/ijerph191811838
Source DB: PubMed Journal: Int J Environ Res Public Health ISSN: 1660-4601 Impact factor: 4.614
Figure 1Logic model on potential causes and pathways of the perceived low attractiveness of the public health service (PHS) and an occupation within it.
Figure 2Flowchart for obtaining the distribution list to generate the OeGD-Studisurvey sample.
Characteristics of the study participants (n = 3019) in wave 1 and 2 and separated for medical students (n = 2058) and public health and other non-medical (PH&ONM) students (n = 961) according to their interest in working in the PHS, OeGD-Studisurvey.
| Total | Wave 1 ( | Wave 2 ( | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Medical Students | PH&ONM Students | Medical Students | PH&ONM Students | ||||||||||
| Interest | No Interest | Interest | No Interest | Interest | No Interest | Interest | No Interest | ||||||
|
| |||||||||||||
| male | 774 (25.7%) | 123 (26.2%) | 389 (31.2%) | 0.0526 | 61 (16.1%) | 36 (18.5%) | 0.6593 | 24 (32.4%) | 46 (36.2%) | 0.6465 | 51 (19.2%) | 7 (11.3%) | 0.3477 |
| female | 2235 (74.1%) | 345 (73.4%) | 855 (68.6%) | 316 (83.6%) | 159 (81.5%) | 50 (67.6%) | 81 (63.8%) | 213 (80.4%) | 55 (88.7%) | ||||
| divers | 7 (0.2%) | 2 (0.4%) | 2 (0.2%) | 1 (0.3%) | 0 (0%) | 0 (0%) | 0 (0%) | 1 (0.4%) | 0 (0%) | ||||
| total | 3019 (100.0%) | 470 (27.4%) | 1246 (72.6%) | 378 (66.0%) | 195 (34.0%) | 74 (36.8%) | 127 (63.2%) | 265 (81.0%) | 62 (19.0%) | ||||
|
| |||||||||||||
| ≤20 | 456 (15.7%) | 74 (15.8%) | 224 (18.2%) | 0.1281 | 30 (8.0%) | 34 (17.5%) | 0.0001 | 6 (9.0%) | 24 (22.2%) | 0.0542 | 17 (7.6%) | 9 (16.7%) | 0.2131 |
| 21–25 | 1467 (50.4%) | 249 (53.2%) | 680 (55.3%) | 148 (39.4%) | 91 (46.9%) | 41 (61.2%) | 59 (54.6%) | 89 (39.6%) | 21 (38.9%) | ||||
| 26–30 | 647 (22.2%) | 104 (22.2%) | 251 (20.4%) | 103 (27.4%) | 39 (20.1%) | 13 (19.4%) | 21 (19.4%) | 60 (26.7%) | 12 (22.2%) | ||||
| >30 | 341 (11.7%) | 41 (8.8%) | 74 (6.0%) | 95 (25.3%) | 30 (15.5%) | 7 (10.4%) | 4 (3.7%) | 59 (26.2%) | 12 (22.2%) | ||||
| total | 3019 (100.0%) | 468 (27.6%) | 1229 (72.4%) | 376 (66.0%) | 194 (34.0%) | 67 (38.3%) | 108 (61.7%) | 225 (80.6%) | 54 (19.4%) | ||||
|
| |||||||||||||
| bachelor 1 | 374 (12.4%) | 0 (0%) | 1 (0.1%) | 0.0779 | 149 (39.3%) | 73 (37.4%) | 0.0177 | 1 (1.4%) | 0 (0%) | 0.2044 | 101 (39.0%) | 22 (35.5%) | 0.2624 |
| master | 412 (13.7%) | 2 (0.4%) | 5 (0.4%) | 176 (46.4%) | 74 (37.9%) | 1 (1.4%) | 0 (0%) | 113 (43.6%) | 23 (37.1%) | ||||
| state exam | 2157 (71.7%) | 461 (98.1%) | 1235 (99.1%) | 46 (12.1%) | 40 (20.5%) | 65 (90.3%) | 122 (95.3%) | 27 (10.4%) | 12 (19.4%) | ||||
| PhD or MD | 66 (2.2%) | 7 (1.5%) | 5 (0.4%) | 8 (2.1%) | 8 (4.1%) | 5 (6.9%) | 6 (4.7%) | 18 (6.9%) | 5 (8.1%) | ||||
| total | 3019 (100.0%) | 470 (27.4%) | 1246 (72.6%) | 379 (66.0%) | 195 (34.0%) | 72 (36.0%) | 128 (64.0%) | 259 (80.7%) | 62 (19.3%) | ||||
|
| |||||||||||||
| yes | 514 (17.2%) | 40 (8.5%) | 91 (7.3%) | 0.4010 | 161 (43.3%) | 65 (34.4%) | 0.0425 | 7 (9.3%) | 7 (5.5%) | 0.2943 | 93 (36.6%) | 24 (39.3%) | 0.6919 |
| no | 2476 (82.8%) | 430 (91.5%) | 1155 (92.7%) | 211 (56.7%) | 124 (65.6%) | 68 (90.7%) | 121 (94.5%) | 161 (63.4%) | 37 (60.7%) | ||||
| total | 3019 (100.0%) | 470 (27.4%) | 1246 (72.6%) | 372 (66.3%) | 189 (33.7%) | 75 (36.9%) | 128 (63.1%) | 254 (80.6%) | 61 (19.4%) | ||||
| yes | 201 (35.3%) | 28 (37.3%) | 30 (23.4%) | 0.0344 | 115 (43.4%) | 20 (32.3%) | 0.1088 | ||||||
| no | 368 (64.7%) | 47 (62.7%) | 98 (76.6%) | 150 (56.6%) | 42 (67.7%) | ||||||||
| total | 569 (100.0%) | 75 (36.9%) | 128 (63.1%) | 265 (81.0%) | 62 (19.0%) | ||||||||
* In group-comparison between students with and without interest in working in the Public Health Service (PHS) using Chi2-test (Fisher’s exact test for εij < 5). For reasons of readability, missing values are not shown separately. Abbreviations: PhD = Doctor of philosophy, MD = Medical doctor. 1 Although, we did not contact the secretariats of bachelor’s degree programs, it was possible for students with a bachelor’s degree to participate in the survey. An indication of the bachelor’s degree was possible, for example, if persons are enrolled in more than one study program (second degree) and next obtain a bachelor’s degree.
General interest in working in the Public Health Service (PHS) among students in Germany by territorial authority and separated for wave 1 (n = 2450) and 2 (n = 569), OeGD-Studisurvey.
| Total | Wave 1 | Wave 2 | |||||
|---|---|---|---|---|---|---|---|
| Medical Students | PH&ONM Students | Medical Students | PH&ONM Students | ||||
|
| |||||||
| yes | 376 (13%) | 104 (6%) | 151 (26%) | <0.001 | 9 (4%) | 112 (34%) | <0.001 |
| rather yes | 813 (29%) | 366 (21%) | 228 (40%) | 66 (33%) | 153 (47%) | ||
| rather no | 1121 (40%) | 810 (47%) | 143 (25%) | 113 (56%) | 55 (17%) | ||
| no | 510 (18%) | 436 (25%) | 52 (9%) | 15 (7%) | 7 (2%) | ||
|
| |||||||
| yes | 273 (10%) | 54 (3%) | 126 (22%) | <0.001 | 9 (5%) | 84 (26%) | <0.001 |
| rather yes | 567 (20%) | 230 (13%) | 164 (28%) | 48 (24%) | 125 (39%) | ||
| rather no | 1145 (40%) | 761 (43%) | 188 (32%) | 109 (54%) | 87 (27%) | ||
| no | 870 (30%) | 708 (40%) | 102 (18%) | 35 (17%) | 25 (8%) | ||
|
| |||||||
| yes | 452 (16%) | 117 (7%) | 213 (36%) | <0.001 | 15 (8%) | 107 (33%) | <0.001 |
| rather yes | 812 (28%) | 392 (22%) | 213 (36%) | 83 (42%) | 124 (38%) | ||
| rather no | 951 (33%) | 709 (40%) | 94 (16%) | 78 (39%) | 70 (22%) | ||
| no | 658 (23%) | 547 (31%) | 64 (11%) | 24 (12%) | 23 (7%) | ||
|
| |||||||
| yes | 1189 (42%) | 470 (27%) | 379 (66%) | <0.001 | 75 (37%) | 265 (81%) | <0.001 |
* In group-comparison between medical and PH&ONM students using Chi2-test (Fisher’s exact test for εij < 5). 1 The binary index PHS interest is defined through the responses “yes” or “rather yes” to the question on general interest in working in the PHS in Germany.
Figure 3Preferred field of activity after graduation among medical (n = 2058) and PH&ONM students (n = 961) in Germany, according to their PHS interest in wave 1 of the OeGD-Studisurvey (The proportion of students who ranked a public health (PH) activity first is highlighted in orange).
Preferred fields of activity after graduation: Absolute and relative proportion of the fields of activity with the highest priority by field of study and PHS interest in wave 1, OeGD-Studisurvey.
| Total | Medical Students | PH&ONM Students | |||||
|---|---|---|---|---|---|---|---|
| Interest | No Interest | Interest | No Interest | ||||
| clinical/client-related activity | 1692 (74.0%) | 371 (83.4%) | 1085 (92.8%) | <0.001 | 66 (19.2%) | 56 (30.6%) | <0.001 |
| PH activities outside PHS | 100 (4.4%) | 19 (4.3%) | 10 (0.9%) | 50 (14.6%) | 18 (9.8%) | ||
| PH activities within PHS | 143 (6.2%) | 20 (4.5%) | 3 (0.3%) | 107 (31.2%) | 10 (5.5%) | ||
| research and academia | 181 (7.9%) | 15 (3.4%) | 33 (2.8%) | 72 (21.0%) | 47 (25.7%) | ||
| private sector | 95 (4.2%) | 9 (2.0%) | 27 (2.3%) | 25 (7.3%) | 26 (14.2%) | ||
| international | 77 (3.4%) | 11 (2.5%) | 11 (0.9%) | 23 (6.7%) | 26 (14.2%) | ||
* In group-comparison between medical and PH&ONM students using Chi2-test (Fisher’s exact test for εij < 5); PH = public health.
Preferred fields of activity after graduation: Absolute and relative proportion of all “Yes, definitely” responses by field of study and PHS interest in wave 2, OeGD-Studisurvey.
| Total | Medical Students | PH&ONM Students | |||||
|---|---|---|---|---|---|---|---|
| Interest | No Interest | Interest | No Interest | ||||
| clinical/client-related activity | 311 (58%) | 37 (50.7%) | 91 (72.2%) | 0.0032 | 35 (14.6%) | 11 (18.3%) | 0.1773 |
| PH activities outside PHS | 286 (51%) | 7 (9.5%) | 2 (1.6%) | <0.0001 | 77 (29.5%) | 11 (17.7%) | <0.0001 |
| PH activities within PHS | 382 (68%) | 18 (24.3%) | 2 (1.6%) | <0.0001 | 127 (48.5%) | 7 (11.3%) | <0.0001 |
| research and academia | 314 (56%) | 17 (23.0%) | 17 (13.5%) | 0.2145 | 74 (28.2%) | 13 (21.3%) | 0.5459 |
| private sector | 175 (31%) | 5 (6.8%) | 5 (3.9%) | 0.0353 | 37 (14.2%) | 8 (12.9%) | 0.3924 |
| international | 271 (49%) | 17 (23.3%) | 7 (5.5%) | 0.0002 | 68 (26.3%) | 10 (16.1%) | 0.0036 |
* In group-comparison between medical and PH&ONM students using Chi2-test (Fisher’s exact test for εij < 5); PH = public health.
General public health knowledge with focus on life expectancy (LE): Absolute and relative proportion of correct answers to estimated differences in LE by field of study and PHS interest in wave 1, OeGD-Studisurvey.
| Total | Medical Students | PH&ONM Students | |||||
|---|---|---|---|---|---|---|---|
| Interest | No Interest | Interest | No Interest | ||||
|
| |||||||
| Average shift in LE in rich countries | 1828 (74.9%) | 351 (74.7%) | 935 (75.3%) | 0.7774 | 293 (77.3%) | 146 (75.3%) | 0.5831 |
| Average shift in LE in poor countries | 236 (9.7%) | 38 (8.1%) | 133 (10.7%) | 0.1127 | 35 (9.3%) | 19 (9.7%) | 0.8739 |
| Average difference in LE among women with low and high SES | 700 (28.8%) | 118 (25.2%) | 356 (28.7%) | 0.1553 | 123 (32.5%) | 57 (29.5%) | 0.4646 |
| Average difference in LE among men with low and high SES | 274 (11.3%) | 55 (11.8%) | 146 (11.7%) | 0.9971 | 38 (10.1%) | 20 (10.3%) | 0.9314 |
| Average difference in LE between women and men | 1332 (54.6%) | 282 (60.1%) | 673 (54.1%) | 0.0251 | 200 (52.9%) | 91 (46.7%) | 0.1567 |
|
| |||||||
| Almost all correct (4 to 5) | 3 (0.1%) | 1 (0.2%) | 1 (0.1%) | 0.4732 | 1 (0.3%) | 0 (0.0%) | 1.0000 |
| At least 3 correct answers | 531 (22.0%) | 101 (21.7%) | 277 (22.4%) | 0.7323 | 85 (22.7%) | 34 (17.8%) | 0.1792 |
| Almost none correct (0 to 1) | 893 (36.9%) | 170 (36.5%) | 452 (36.6%) | 0.9549 | 129 (34.4%) | 74 (38.7%) | 0.3083 |
* In group-comparison between medical and PH&ONM students using Chi2-test (Fisher’s exact test for εij < 5), LE = life expectancy, SES = socio-economic status. Changes within Germany as well as between countries with high and low income per capita were differentiated and differences between men and women were addressed. The average shift in LE in rich countries was answered correctly by the majority of all participants (75%), while less than 10% correctly estimated LE differences in poorer countries.
Measures with assumed highest impact regarding the increase in life expectancy within the last 120 years: Absolute and relative proportion of the top three ranked measures by field of study and PHS interest in wave 1, OeGD-Studisurvey.
| Total | Medical Students | PH&ONM Students | |||||
|---|---|---|---|---|---|---|---|
| Interest | No Interest | Interest | No Interest | ||||
| Medical therapy of infectious diseases | 1664 (68.7%) | 326 (69.7%) | 870 (70.3%) | 0.7863 | 246 (65.4%) | 122 (62.9%) | 0.5482 |
| Primary medical prevention | 1370 (56.6%) | 271 (58.0%) | 701 (56.8%) | 0.6370 | 181 (48.3%) | 124 (63.9%) | 0.0004 |
| Poverty reduction, reduction of malnutrition and other measures | 1234 (51.0%) | 257 (55.0%) | 645 (52.2%) | 0.2935 | 174 (46.8%) | 91 (47.2%) | 0.9323 |
| Medical therapy and prevention of NCDs | 1135 (47.1%) | 218 (46.9%) | 572 (46.4%) | 0.8674 | 187 (50.0%) | 95 (49.0%) | 0.8157 |
| Changing living environments | 1074 (44.5%) | 182 (39.3%) | 521 (42.2%) | 0.2894 | 199 (53.2%) | 89 (46.1%) | 0.1093 |
| Secondary medical prevention | 412 (17.1%) | 70 (15.1%) | 218 (17.7%) | 0.2021 | 73 (19.5%) | 26 (13.4%) | 0.0684 |
| Non-medical prevention and health promotion measures | 389 (16.2%) | 80 (17.2%) | 187 (15.3%) | 0.3412 | 68 (18.1%) | 35 (18.0%) | 0.9784 |
* In group-comparison between medical and PH&ONM students using Chi2-test (Fisher’s exact test for εij < 5), NCDs = Non-communicable diseases.
Specific knowledge about and interest in topics, tasks and activities of the PHS in Germany: Absolute and relative proportion of core public health fields of activities regarding their PHS attribution, coverage within the study curricula, and consideration of prospective employment by field of study and PHS interest in wave 1, OeGD-Studisurvey.
| Total | Medical Students | PH&ONM Students | |||||||
|---|---|---|---|---|---|---|---|---|---|
| Medical Students | PH&ONM Students | Interest | No Interest | Interest | No Interest | ||||
|
| |||||||||
| Health protection and infection disease prevention | 295 (17.3%) | 82 (14.5%) | 0.1265 | 56 (12.8%) | 218 (18.7%) | 0.0050 | 50 (13.6%) | 30 (17.4%) | 0.2452 |
| Outbreak and crisis management | 379 (22.2%) | 157 (28.0%) | 0.0045 | 94 (21.5%) | 254 (21.6%) | 0.9567 | 105 (29.2%) | 46 (26.6%) | 0.5364 |
| (Medical) Primary prevention and secondary prevention | 583 (34.1%) | 182 (32.4%) | 0.4674 | 128 (29.2%) | 414 (35.2%) | 0.0220 | 109 (29.9%) | 60 (34.7%) | 0.2693 |
| Support of vulnerable groups | 589 (34.6%) | 170 (30.4%) | 0.0647 | 123 (28.3%) | 437 (37.3%) | 0.0008 | 101 (27.7%) | 57 (33.1%) | 0.2012 |
| Health planning and policy advice | 445 (26.1%) | 155 (27.3%) | 0.5827 | 109 (24.9%) | 313 (26.8%) | 0.4435 | 92 (25.1%) | 54 (30.7%) | 0.1673 |
| Behavioral and primordial prevention | 479 (28.1%) | 170 (30.2%) | 0.3466 | 107 (24.5%) | 345 (29.5%) | 0.0500 | 106 (29.0%) | 53 (30.8%) | 0.6606 |
|
| |||||||||
| Health protection and infection disease prevention | 649 (42.2%) | 172 (30.8%) | <0.0001 | 143 (36.0%) | 467 (44.3%) | 0.0046 | 118 (32.9%) | 46 (26.4%) | 0.1314 |
| Outbreak and crisis management | 39 (2.9%) | 35 (6.9%) | 0.0001 | 10 (2.9%) | 26 (2.8%) | 0.9248 | 23 (7.0%) | 9 (5.8%) | 0.6184 |
| (Medical) Primary prevention and secondary prevention | 992 (61.3%) | 295 (52.4%) | 0.0002 | 236 (56.5%) | 695 (62.7%) | 0.0252 | 214 (59.4%) | 70 (40.2%) | <0.0001 |
| Support of vulnerable groups | 192 (13.2%) | 240 (43.9%) | <0.0001 | 41 (11.1%) | 134 (13.2%) | 0.3092 | 173 (49.1%) | 55 (32.0%) | 0.0002 |
| Health planning and policy advice | 27 (2.0%) | 167 (30.7%) | <0.0001 | 9 (2.6%) | 16 (1.7%) | 0.3011 | 133 (37.8%) | 30 (17.9%) | <0.0001 |
| Behavioral and primordial prevention | 516 (33.5%) | 299 (53.4%) | <0.0001 | 129 (32.4%) | 358 (34.0%) | 0.5759 | 217 (59.6%) | 71 (41.5%) | 0.0001 |
|
| |||||||||
| Health protection and infection disease prevention | 845 (46.9%) | 291 (49.1%) | 0.3681 | 307 (66.9%) | 481 (39.0%) | <0.0001 | 213 (57.6%) | 69 (35.8%) | <0.0001 |
| Outbreak and crisis management | 625 (34.7%) | 199 (33.7%) | 0.6534 | 215 (46.7%) | 372 (30.2%) | <0.0001 | 141 (38.1%) | 50 (26.6%) | 0.0067 |
| (Medical) Primary prevention and secondary prevention | 1233 (68.7%) | 315 (53.5%) | <0.0001 | 371 (81.2%) | 776 (63.2%) | <0.0001 | 228 (62.0%) | 76 (40.0%) | <0.0001 |
| Support of vulnerable groups | 1017 (56.8%) | 375 (64.5%) | 0.0010 | 321 (70.4%) | 630 (51.4%) | <0.0001 | 264 (72.1%) | 95 (50.8%) | <0.0001 |
| Health planning and policy advice | 594 (33.0%) | 356 (60.1%) | <0.0001 | 238 (51.5%) | 314 (25.6%) | <0.0001 | 255 (68.7%) | 88 (46.6%) | <0.0001 |
| Behavioral and primordial prevention | 865 (48.2%) | 385 (65.0%) | <0.0001 | 288 (62.7%) | 520 (42.4%) | <0.0001 | 268 (72.2%) | 95 (49.5%) | <0.0001 |
* Comparison between medical and PH&ONM students ** In group-comparison between medical and PH&ONM students with and without PHS interest using Chi2-test (Fisher’s exact test for εij < 5).
Interest in core public health fields of activities regarding their coverage during the main studies and attribution to the PHS: Absolute and relative proportions separated by medical and PH&ONM students according to their PHS interest in wave 1 of the OeGD-Studisurvey.
| Total | Medical Students | PH&ONM Students | |||||
|---|---|---|---|---|---|---|---|
| Interest | No Interest | Interest | No Interest | ||||
|
| |||||||
| Health protection, NCD prevention | 474 (47.0%) | 106 (40.3%) | 232 (54.0%) | 0.0005 | 85 (41.7%) | 25 (39.7%) | 0.7797 |
| Outbreak and crisis management | 42 (6.6%) | 6 (3.8%) | 11 (3.9%) | 0.9785 | 14 (11.4%) | 7 (15.9%) | 0.4370 |
| (Med.) Primary & sec. prevention | 937 (67.3%) | 206 (61.9%) | 486 (69.9%) | 0.0099 | 148 (68.5%) | 41 (60.3%) | 0.2100 |
| Support of vulnerable groups | 314 (26.6%) | 28 (10.9%) | 78 (14.9%) | 0.1237 | 146 (57.5%) | 43 (47.8%) | 0.1119 |
| Health planning, policy advice | 149 (19.0%) | 6 (3.2%) | 9 (3.8%) | 0.7274 | 106 (43.3%) | 23 (28.4%) | 0.0177 |
| Behavioral, primordial prevention | 536 (47.7%) | 99 (39.4%) | 188 (41.1%) | 0.6602 | 174 (66.7%) | 48 (53.9%) | 0.0312 |
|
| |||||||
| Health protection, NCD prevention | 918 (85.2%) | 256 (87.7%) | 383 (83.4%) | 0.1127 | 185 (88.1%) | 50 (82.0%) | 0.2145 |
| Outbreak and crisis management | 595 (75.6%) | 162 (79.8%) | 274 (76.1%) | 0.3142 | 104 (74.8%) | 27 (61.4%) | 0.0846 |
| (Med.) Primary & sec. prevention | 969 (66.0%) | 248 (70.1%) | 466 (62.7%) | 0.0171 | 166 (74.1%) | 47 (70.1%) | 0.5211 |
| Support of vulnerable groups | 904 (68.8%) | 223 (74.3%) | 383 (64.0%) | 0.0019 | 191 (73.5%) | 59 (66.3%) | 0.1953 |
| Health planning, policy advice | 684 (75.2%) | 175 (78.5%) | 222 (74.2%) | 0.2629 | 195 (77.1%) | 59 (68.6%) | 0.1174 |
| Behavioral, primordial prevention | 888 (74.9%) | 211 (76.2%) | 373 (75.7%) | 0.8729 | 193 (73.1%) | 65 (73.9%) | 0.8894 |
* In group-comparison between medical and PH&ONM students with and without PHS interest using Chi2-test (Fisher’s exact test for εij < 5); NCD = Non-communicable diseases; (Med.) Primary & sec. prevention = (medical) primary and secondary prevention.
Figure 4Polarity profile of characteristics associated with the PHS by field of study and general PHS interest of students in Germany, OeGD-Studisurvey (Abbreviations: MS_I = medical students with PHS interest, MS_NI = medical students without PHS interest, PH&ONM_I = PH&ONM students with PHS interest, PH&ONM_NI = PH&ONM students without PHS interest).
Figure A1Relative proportion of attributes and characteristics associated with PHS. Shown are the results of a polarity profile based on eight contrasting comparisons differentiated by field of study and general PHS interest wave 1 and wave 2, OeGD-Studisurvey.
Polarity profile: Characteristics associated with an activity in the PHS: Absolute and relative proportion of grouped responses by field of study and PHS interest in wave 1 and wave 2, OeGD-Studisurvey.
| Medical Students | PH&ONM Students | |||||
|---|---|---|---|---|---|---|
| Interest | No Interest | Interest | No Interest | |||
|
| ||||||
| interesting, diverse, exciting | 144 (38.0%) | 55 (7.2%) | <0.0001 | 246 (48.3%) | 23 (17.7%) | <0.0001 |
| neutral | 104 (27.4%) | 157 (20.4%) | 155 (30.5%) | 41 (31.5%) | ||
| boring, monotonous | 131 (34.6%) | 557 (72.4%) | 108 (21.2%) | 66 (50.8%) | ||
|
| ||||||
| challenging, ambitious | 170 (45.0%) | 179 (23.3%) | <0.0001 | 320 (62.9%) | 59 (45.4%) | 0.0011 |
| neutral | 115 (30.4%) | 303 (39.5%) | 128 (25.1%) | 45 (34.6%) | ||
| not challenging, not ambitious | 93 (24.6%) | 285 (37.2%) | 61 (12.0%) | 26 (20.0%) | ||
|
| ||||||
| high impact | 297 (78.6%) | 534 (69.4%) | 0.0032 | 376 (74.0%) | 72 (55.4%) | 0.0002 |
| neutral | 59 (15.6%) | 157 (20.4%) | 85 (16.7%) | 37 (28.5%) | ||
| low impact | 22 (5.8%) | 78 (10.1%) | 47 (9.3%) | 21 (16.2%) | ||
|
| ||||||
| global | 104 (27.5%) | 181 (23.5%) | 0.2347 | 93 (18.3%) | 30 (23.1%) | 0.2994 |
| neutral | 106 (28.0%) | 246 (32.0%) | 150 (29.5%) | 31 (23.8%) | ||
| local | 168 (44.4%) | 342 (44.5%) | 266 (52.3%) | 69 (53.1%) | ||
|
| ||||||
| modern, innovative | 73 (19.3%) | 120 (15.6%) | 0.0378 | 83 (16.4%) | 11 (8.5%) | 0.0596 |
| neutral | 153 (40.5%) | 280 (36.4%) | 157 (31.0%) | 40 (30.8%) | ||
| traditional, outdated | 152 (40.2%) | 369 (48.0%) | 267 (52.7%) | 79 (60.8%) | ||
|
| ||||||
| unbureaucratic | 2 (0.5%) | 4 (0.5%) | 0.0787 | 2 (0.4%) | 1 (0.8%) | 0.4788 |
| neutral | 31 (8.2%) | 38 (4.9%) | 55 (10.8%) | 11 (8.4%) | ||
| bureaucratic | 345 (91.3%) | 726 (94.5%) | 450 (88.8%) | 119 (90.8%) | ||
|
| ||||||
| lack of career opportunities | 62 (16.4%) | 123 (16.0%) | 0.9801 | 103 (20.4%) | 20 (15.4%) | 0.1089 |
| neutral | 140 (37.1%) | 285 (37.1%) | 226 (44.7%) | 52 (40.0%) | ||
| lack of career opportunities | 175 (46.4%) | 360 (46.9%) | 177 (35.0%) | 58 (44.6%) | ||
|
| ||||||
| for ambitious people | 48 (12.7%) | 50 (6.5%) | 0.0001 | 134 (26.3%) | 24 (18.5%) | 0.0036 |
| neutral | 93 (24.6%) | 155 (20.2%) | 208 (40.9%) | 43 (33.1%) | ||
| for those interested in relaxed job | 237 (62.7%) | 563 (73.3%) | 167 (32.8%) | 63 (48.5%) | ||
* In group-comparison between medical and PH&ONM students using Chi2-test (Fisher’s exact test for εij < 5).
Polarity profile: Characteristics associated with an activity in the Public Health Services (PHS) by previous experience within the PHS: Absolute and relative proportion of grouped responses by field of study and PHS interest in wave 2, OeGD-Studisurvey.
| Previous Experience within the PHS | |||
|---|---|---|---|
| Yes | No | ||
|
| |||
| interesting and varied | 73 (36.5%) | 92 (25.6%) | 0.0246 |
| neutral | 50 (25.0%) | 106 (29.4%) | |
| boring and monotonous | 77 (38.5%) | 162 (45.0%) | |
|
| |||
| challenging and demanding | 88 (44.4%) | 159 (43.9%) | 0.5681 |
| neutral | 56 (28.3%) | 116 (32.0%) | |
| easy and not very demanding | 54 (27.3%) | 87 (24.0%) | |
|
| |||
| high impact on population health | 140 (70.7%) | 261 (72.3%) | 0.7847 |
| neutral | 38 (19.2%) | 61 (16.9%) | |
| little impact on population health | 20 (10.1%) | 39 (10.8%) | |
|
| |||
| modern and innovative | 41 (20.6%) | 62 (17.2%) | 0.5804 |
| neutral | 72 (36.2%) | 132 (36.6%) | |
| traditional and outdated | 86 (43.2%) | 167 (46.3%) | |
|
| |||
| with high scope for action, formative | 22 (11.1%) | 42 (11.7%) | 0.3878 |
| neutral | 53 (26.6%) | 114 (31.8%) | |
| with low scope for action, official | 124 (62.3%) | 203 (56.5%) | |
|
| |||
| many career opportunities | 2 (1.0%) | 2 (0.6%) | 0.6308 |
| neutral | 11 (5.5%) | 25 (6.9%) | |
| few career opportunities | 187 (93.5%) | 333 (92.5%) | |
|
| |||
| for people with goals and ambitions | 41 (20.6%) | 68 (19.0%) | 0.8738 |
| neutral | 76 (38.2%) | 143 (39.9%) | |
| for people looking for a relaxed job | 82 (41.2%) | 147 (41.1%) | |
|
| |||
| with high work-life-balance | 37 (18.6%) | 56 (15.5%) | 0.6197 |
| neutral | 60 (30.2%) | 117 (32.4%) | |
| with low work-life-balance | 102 (51.3%) | 188 (52.1%) | |
* Comparison between students with previous experience within the PHS and students without using Chi2-test (Fisher’s exact test for εij < 5).
Expectations of future working life and career among medical students and PH&ONM students in Germany according to their PHS interest: Absolut and relative proportions of aspects considered as “very important” in wave 1, OeGD-Studisurvey.
| Total | Medical Students | PH&ONM Students | |||||||
|---|---|---|---|---|---|---|---|---|---|
| Interest | No Interest | Interest | No Interest | Interest | No Interest | ||||
| Good work-life balance | 570 (67.2%) | 875 (60.8%) | 0.0061 | 326 (69.5%) | 761 (61.1%) | 0.0045 | 244 (64.4%) | 114 (58.8%) | 0.3552 |
| Compatibility of career and family | 588 (69.7%) | 992 (69.0%) | 0.4260 | 338 (72.2%) | 861 (69.2%) | 0.4193 | 250 (66.5%) | 131 (67.5%) | 0.1348 |
| Flexible working hours | 234 (27.9%) | 260 (18.2%) | <0.0001 | 118 (25.3%) | 197 (16.0%) | <0.0001 | 116 (31.0%) | 63 (32.5%) | 0.3765 |
| Regulated working hours without weekend/night duties | 263 (31.2%) | 283 (19.8%) | <0.0001 | 122 (26.1%) | 214 (17.3%) | <0.0001 | 141 (37.5%) | 69 (35.8%) | 0.1409 |
| High salary | 109 (12.9%) | 199 (13.8%) | 0.2706 | 54 (11.5%) | 154 (12.4%) | 0.5723 | 55 (14.7%) | 45 (23.2%) | 0.0312 |
| Job security | 326 (38.5%) | 574 (40.0%) | 0.7353 | 183 (39.0%) | 506 (40.7%) | 0.5282 | 143 (37.9%) | 68 (35.2%) | 0.2564 |
| Regularly new content | 123 (14.6%) | 214 (15.0%) | 0.9052 | 72 (15.5%) | 184 (14.9%) | 0.8004 | 51 (13.5%) | 30 (15.6%) | 0.7538 |
| Realize own projects | 232 (27.5%) | 350 (24.3%) | 0.0825 | 124 (26.4%) | 291 (23.4%) | 0.3983 | 108 (28.7%) | 59 (30.3%) | 0.9174 |
| Great social benefits | 287 (34.1%) | 435 (30.4%) | 0.0072 | 161 (34.5%) | 375 (30.3%) | 0.2341 | 126 (33.6%) | 60 (31.1%) | <0.0001 |
| Being able to help people directly | 300 (35.6%) | 685 (47.8%) | <0.0001 | 196 (41.9%) | 627 (50.5%) | 0.0004 | 104 (27.7%) | 58 (30.2%) | 0.1075 |
| Being able to influence general conditions | 249 (29.8%) | 282 (19.8%) | <0.0001 | 133 (28.7%) | 241 (19.5%) | <0.0001 | 116 (31.1%) | 41 (21.6%) | 0.0001 |
| Flat hierarchical structures | 193 (23.1%) | 315 (22.3%) | 0.4468 | 132 (28.5%) | 285 (23.3%) | 0.0048 | 61 (16.4%) | 30 (16.2%) | 0.3522 |
| Being able to take on responsibility | 166 (19.6%) | 267 (18.6%) | 0.8045 | 86 (18.3%) | 222 (17.9%) | 0.5933 | 80 (21.2%) | 45 (23.2%) | 0.0976 |
| Career advancement opportunities | 220 (26.0%) | 388 (27.0%) | 0.8074 | 126 (27.0%) | 334 (26.9%) | 0.7668 | 94 (24.9%) | 54 (27.7%) | 0.7649 |
| Being active in research/science | 103 (12.2%) | 172 (12.0%) | 0.7980 | 46 (9.8%) | 124 (10.0%) | 0.7938 | 57 (15.1%) | 48 (24.9%) | 0.0168 |
| Possibility to do a doctorate | 87 (10.7%) | 174 (12.5%) | 0.0044 | 50 (11.2%) | 136 (11.3%) | 0.7200 | 37 (10.0%) | 38 (20.0%) | 0.0016 |
| Working in a team | 267 (31.4%) | 522 (36.3%) | 0.0152 | 177 (37.7%) | 480 (38.6%) | 0.2509 | 90 (23.7%) | 42 (21.5%) | 0.2898 |
| Direct contact with patients/clients | 258 (30.5%) | 758 (52.9%) | <0.0001 | 208 (44.3%) | 722 (58.2%) | <0.0001 | 50 (13.3%) | 36 (18.7%) | 0.1461 |
| Possibility to work abroad | 140 (16.5%) | 252 (17.6%) | 0.2671 | 108 (23.1%) | 233 (18.8%) | 0.1184 | 32 (8.4%) | 19 (9.8%) | 0.8566 |
| Working in an inter- and multidisciplinary team | 237 (28.1%) | 401 (27.9%) | 0.5435 | 175 (37.6%) | 368 (29.6%) | 0.0059 | 62 (16.4%) | 33 (17.1%) | 0.8965 |
* Comparison between students with and without PHS interest; ** In group-comparison between medical and PH&ONM students using Chi2-test (Fisher’s exact test for εij < 5).
Expectations for future working life and career: Absolute and relative proportion of grouped responses by field of study and PHS interest in wave 2, OeGD-Studisurvey.
| Total | Medical Students | PH&ONM Students | |||||||
|---|---|---|---|---|---|---|---|---|---|
| Interest | No Interest | Interest | No Interest | Interest | No Interest | ||||
| Work-life balance | 220 (64.7%) | 129 (67.9%) | 0.6412 | 50 (66.7%) | 87 (68.0%) | 0.9630 | 170 (64.2%) | 42 (67.7%) | 0.2390 |
| Flexible working hours | 101 (29.7%) | 43 (22.6%) | 0.1775 | 13 (17.3%) | 21 (16.4%) | 0.4473 | 88 (33.2%) | 22 (35.5%) | 0.9422 |
| High salary | 69 (20.3%) | 31 (16.3%) | 0.0177 | 14 (18.7%) | 19 (14.8%) | 0.0879 | 55 (20.8%) | 12 (19.4%) | 0.8887 |
| Job security | 83 (24.4%) | 30 (15.8%) | 0.0256 | 14 (18.7%) | 13 (10.2%) | 0.1586 | 69 (26.0%) | 17 (27.4%) | 0.2699 |
| Social recognition and reputation | 13 (3.8%) | 6 (3.2%) | 0.8456 | 2 (2.7%) | 4 (3.1%) | 0.2740 | 11 (4.2%) | 2 (3.2%) | 0.8779 |
| Appreciative, good working atmosphere | 216 (63.5%) | 123 (64.7%) | 0.8764 | 52 (69.3%) | 86 (67.2%) | 0.8547 | 164 (61.9%) | 37 (59.7%) | 0.4073 |
| Varied activities with scope for creativity | 119 (35.0%) | 68 (35.8%) | 0.9619 | 32 (42.7%) | 45 (35.2%) | 0.5203 | 87 (32.8%) | 23 (37.1%) | 0.5916 |
| Activity with societal impact | 88 (25.9%) | 40 (21.1%) | 0.3966 | 21 (28.0%) | 30 (23.4%) | 0.1799 | 67 (25.3%) | 10 (16.1%) | 0.2045 |
| Direct contact with clients and patients | 51 (15.0%) | 60 (31.6%) | <0.0001 | 14 (18.7%) | 52 (40.6%) | 0.0038 | 37 (14.0%) | 8 (12.9%) | 0.1223 |
| Training opportunities | 34 (10.0%) | 28 (14.7%) | 0.0950 | 10 (13.3%) | 21 (16.4%) | 0.5087 | 24 (9.1%) | 7 (11.3%) | 0.7011 |
| Research or scientific activity | 26 (7.6%) | 12 (6.3%) | 0.8207 | 3 (4.0%) | 6 (4.7%) | 0.9006 | 23 (8.7%) | 6 (9.7%) | 0.8872 |
* Comparison between students with and without PHS interest; ** In group-comparison between medical and PH&ONM students using Chi2-test (Fisher’s exact test for εij < 5).
Preferred ways to gain (practical) experience relevant for tasks and activities of the PHS among medical students in Germany: Absolute and relative proportions, taking into account multiple responses in wave 1, OeGD-Studisyurvey.
| Medical Students with PHS Interest | Medical Students without PHS Interest | ||
|---|---|---|---|
| Elective | 293 (62.3%) | 418 (33.5%) | <0.0001 |
| One-month internship in medical school (in German: Famulatur) | 256 (54.5%) | 216 (17.3%) | <0.0001 |
| Term of the practical year(in German: Praktisches Jahr) | 109 (23.2%) | 28 (2.2%) | <0.0001 |
| None of the above | 45 (9.6%) | 641 (51.4%) | <0.0001 |
* In group-comparison between medical students with and without PHS interest using Chi2-test (Fisher’s exact test for εij < 5).
Medical specialist training programs that are generally considered as options for medical students, according to their PHS interest: Absolute and relative proportions, taking into account multiple responses in waves 1 and 2, OeGD-Studisurvey.
| Wave 1 | Wave 2 | |||||||
|---|---|---|---|---|---|---|---|---|
| Total | PHS Interest | No PHS Interest | Total | PHS Interest | No PHS Interest | |||
| Internal medicine | 666 (35.7%) | 158 (33.6%) | 469 (37.6%) | 0.1227 | 101 (40.2%) | 26 (34.7%) | 67 (52.3%) | 0.0147 |
| Pediatrics | 465 (24.9%) | 125 (26.6%) | 308 (24.7%) | 0.4248 | 57 (22.7%) | 19 (25.3%) | 32 (25.0%) | 0.9579 |
| General medicine | 532 (28.5%) | 155 (33.0%) | 334 (26.8%) | 0.0115 | 74 (29.5%) | 27 (36.0%) | 38 (29.7%) | 0.3521 |
| Anesthetics | 435 (23.3%) | 96 (20.4%) | 317 (25.4%) | 0.0302 | 63 (25.1%) | 19 (25.3%) | 40 (31.2%) | 0.3702 |
| Surgery | 439 (23.6%) | 70 (14.9%) | 330 (26.5%) | <0.0001 | 53 (21.1%) | 10 (13.3%) | 39 (30.5%) | 0.0059 |
| Gynecology | 313 (16.8%) | 75 (16.0%) | 212 (17.0%) | 0.6008 | 43 (17.1%) | 7 (9.3%) | 26 (20.3%) | 0.0407 |
| Psychiatry | 224 (12.0%) | 77 (16.4%) | 130 (10.4%) | 0.0007 | 40 (15.9%) | 17 (22.7%) | 16 (12.5%) | 0.0581 |
| Neurology | 326 (17.5%) | 92 (19.6%) | 213 (17.1%) | 0.2308 | 39 (15.5%) | 11 (14.7%) | 26 (20.3%) | 0.3146 |
| Public Health | 109 (5.8%) | 84 (17.9%) | 16 (1.3%) | <0.0001 | 41 (16.3%) | 30 (40.0%) | 4 (3.1%) | <0.0001 |
| Other | 317 (17.0%) | 70 (14.9%) | 223 (17.9%) | 0.1403 | 44 (17.5%) | 17 (22.7%) | 21 (16.4%) | 0.2697 |
| Unclear | 536 (28.8%) | 166 (35.3%) | 306 (24.6%) | <0.0001 | 93 (37.1%) | 30 (40.0%) | 40 (31.2%) | 0.2055 |
| None | 27 (1.4%) | 11 (2.3%) | 10 (0.8%) | 0.0098 | 6 (2.4%) | 1 (1.3%) | 2 (1.6%) | 1 |
Percentage of cases takes into account multiple responses and refers to the total of all persons who answered the questions; * In group-comparison between medical and PH&ONM students using Chi2-test (Fisher’s exact test for εij < 5).