| Literature DB >> 34468931 |
Van De Tran1, Duy Toan Pham2, Tran Nhat Phong Dao3, Kieu Anh Tho Pham4, Phuong Thao Ngo5, Rebecca Susan Dewey6.
Abstract
Healthcare students play an important role in volunteering activity, often addressing staff shortages. However, during the COVID-19 pandemic, the willingness of students to volunteer in contribution to the pandemic response, especially in Vietnam, has not been thoroughly investigated. This study aimed to determine the prevalence of and factors associated with the willingness of healthcare students to volunteer during the COVID-19 pandemic in Vietnam. For this, an online cross-sectional survey was conducted, between June 7th and July 6th, 2021, among healthcare students from 10 fields of study at the largest public university of medicine and pharmacy in the Mekong Delta, Vietnam. Of 2032 respondents, 1473 (72.5%) reported that they would be willing to volunteer during the COVID-19 pandemic. More than half of the students reported having a desire to volunteer in non-patient contact activities such as data entry (65.9%) and logistics (57.7%). Whereas less than 50% of the participants were willing to volunteer with activities involving patients. Year of education, study field, educational format, living arrangements, health status self-perception, chronic illness possession, COVID-19 fear level, past volunteering experience in non-healthcare sectors, and COVID-19 prevention and control training course attendance were all associated with a willingness to volunteer. The strongest barriers preventing volunteering included fear for the health of their family and lack of training/knowledge. Conclusively, healthcare students reported a high level of willingness, indicating a positive attitude toward responding to the COVID-19 pandemic. Adequate training should be employed to increase the willingness among healthcare students in Vietnam.Entities:
Keywords: COVID-19; Healthcare student; Vietnam; Volunteering; Willingness
Mesh:
Year: 2021 PMID: 34468931 PMCID: PMC8408812 DOI: 10.1007/s10900-021-01030-y
Source DB: PubMed Journal: J Community Health ISSN: 0094-5145
Characteristics of the survey respondents
| Variable | n (%) |
|---|---|
| Age (years) | |
| Mean ± SD; min–max | 22.8 ± 3.7; 18–45 |
| Gender | |
| Man | 840 (41.3) |
| Woman | 1192 (58.7) |
| Year of education | |
| 1 | 358 (17.6) |
| 2 | 346 (17) |
| 3 | 535 (26.3) |
| 4 | 381 (18.8) |
| 5 | 255 (12.5) |
| 6 | 157 (7.7) |
| Form of education | |
| Full-time | 1766 (86.9) |
| Transitional | 266 (13.1) |
| Academic performance | |
| Below average/Poor | 21 (1) |
| Average | 361 (17.8) |
| Good | 1176 (57.9) |
| Very good | 404 (19.9) |
| Excellent | 70 (3.4) |
| Field of study | |
| General medicine | 1276 (62.8) |
| Traditional medicine | 210 (10.3) |
| Pharmacy | 146 (7.2) |
| Medical technique | 107 (5.3) |
| Preventive medicine | 103 (5.1) |
| Nursing | 103 (5.1) |
| Dentistry | 53 (2.6) |
| Public health | 26 (1.3) |
| Midwifery | 6 (0.3) |
| Medical imaging | 2 (0.1) |
| Living arrangements | |
| With family | 739 (36.4) |
| With friends/housemates | 503 (24.8) |
| Alone | 790 (38.9) |
| Health status self-perception | |
| Very poor/poor | 116 (5.7) |
| Fair | 481 (23.7) |
| Good | 1021 (50.2) |
| Very good | 414 (20.4) |
| History of chronic illness | |
| No | 1790 (88.1) |
| Yes | 242 (11.9) |
| Fear of COVID-19 | |
| Low | 1197 (58.6) |
| High | 835 (40.9) |
Healthcare students’ volunteering experiences and perceived barriers during the COVID-19 pandemic
| Items | n (%) |
|---|---|
| Volunteered in the healthcare sector | |
| No | 1281 (63) |
| Yes | 751 (37) |
| Volunteered in a non-healthcare sector | |
| No | 696 (34.3) |
| Yes | 1336 (65.7) |
| Attended COVID-19 prevention and control training | |
| No | 1506 (74.1) |
| Yes | 526 (25.9) |
| Volunteered in COVID-19 prevention and control | |
| No | 1653 (81.3) |
| Yes | 379 (18.7) |
| Willing to volunteer in remote areas | |
| No | 828 (40.7) |
| Yes | 1204 (59.3) |
| Registered to volunteer in COVID-19 prevention and control | |
| No | 1386 (68.2) |
| Yes | 646 (31.8) |
| Barriers preventing volunteering in those unwilling to do so (n = 559) | |
| Fear for affecting family’s/relatives’ health | 343 (61.4) |
| Lack of training | 220 (39.4) |
| Lack of knowledge | 216 (38.6) |
| Transportation issues | 217 (38.8) |
| Time commitment | 212 (37.9) |
| Personal health issues | 260 (46.5) |
| Lack of protocol/guidance | 120 (21.5) |
| Fear for own health | 209 (37.4) |
| Have not had the opportunity | 92 (16.5) |
| Inadequate PPE | 88 (15.7) |
| Complicated documentation and procedures | 59 (10.6) |
| Below-average/substandard working conditions | 49 (8.8) |
| No interest in volunteering | 56 (10) |
| Non-supportive family | 10 (1.1) |
Healthcare students’ motivation to volunteer during the COVID-19 pandemic
| Items | n (%) | Median (IQR) | ||
|---|---|---|---|---|
| Disagree | Neutral | Agree | ||
| I would be willing to volunteer to help during the pandemic if | ||||
| I was healthy and able to | 150 (7.38) | 285 (14.03) | 1597 (78.59) | 4 (0) |
| Adequate PPE was provided | 151 (7.43) | 227 (11.17) | 1654 (81.40) | 4 (1) |
| I was adequately trained to do so | 174 (8.56) | 252 (12.40) | 1606 (79.04) | 4 (1) |
| Required by the government | 171 (8.42) | 287 (14.12) | 1574 (77.46) | 4 (0) |
| Required by the university | 171 (8.42) | 295 (14.52) | 1566 (77.07) | 4 (0) |
| My family supported it | 223 (10.97) | 312 (15.35) | 1497 (73.67) | 4 (1) |
| I was given the opportunity to do so | 166 (8.17) | 380 (18.70) | 1486 (73.13) | 4 (1) |
| I would encourage friends-relatives-colleagues to volunteer | 98 (4.82) | 450 (22.15) | 1484 (73.03) | 4 (2) |
“Disagree”: responses of strongly disagree and disagree; “Agree”: responses of agree and strongly agree
Fig. 1Participants’ desired COVID-19 volunteering activities/responsibilities
Fig. 2Participants’ desired COVID-19 volunteering placement
Associated factors of willingness to volunteering
| Variable | Total n (%) | Unwilling n (%) | Willing n (%) | Chi-squared (p-value) | OR (95% CI) | p-value |
|---|---|---|---|---|---|---|
| Gender | ||||||
| Man | 840 (41.3) | 240 (28.6) | 600 (71.4) | 0.368 | ||
| Woman | 1192 (58.7) | 319 (26.8) | 873 (73.2) | |||
| Year of education | ||||||
| 1 | 358 (17.6) | 71 (19.8) | 287 (80.2) | 3.81 (2.34–6.22) | ||
| 2 | 346 (17) | 102 (29.5) | 244 (70.5) | 1.8 (1.13–2.87) | ||
| 3 | 535 (26.3) | 162 (30.3) | 373 (69.7) | 1.75 (1.12–2.73) | ||
| 4 | 381 (18.8) | 77 (20.2) | 304 (79.8) | 2.52 (1.57–4.04) | ||
| 5 | 255 (12.5) | 85 (33.3) | 170 (66.7) | 1.49 (0.93–2.4) | 0.101 | |
| 6 | 157 (7.7) | 62 (39.5) | 95 (60.5) | 1 | ||
| Format of course | ||||||
| Full-time | 1766 (86.9) | 464 (26.3) | 1302 (73.7) | 1 | ||
| Transitional | 266 (13.1) | 95 (35.7) | 171 (64.3) | 0.83 (0.6–1.15) | 0.268 | |
| Academic performance | ||||||
| Below average/Poor | 21 (1) | 8 (38.1) | 13 (62.9) | 0.057 | ||
| Average | 361 (17.8) | 114 (31.6) | 247 (68.4) | |||
| Good | 1176 (57.9) | 326 (27.7) | 850 (72.3) | |||
| Very good | 404 (19.9) | 98 (24.3) | 306 (75.7) | |||
| Excellent | 70 (3.4) | 13 (18.6) | 57 (81.4) | |||
| Field of study | ||||||
| General medicine | 1276 (62.8) | 388 (30.4) | 888 (69.6) | 1 | ||
| Traditional medicine | 210 (10.3) | 46 (21.9) | 164 (78.1) | 1.62 (1.1–2.38) | ||
| Pharmacy | 146 (7.2) | 47 (32.2) | 99 (67.8) | 0.93 (0.62–1.4) | 0.718 | |
| Medical technique | 107 (5.3) | 20 (18.7) | 87 (81.3) | 0.99 (0.56–1.73) | 0.963 | |
| Preventive medicine | 103 (5.1) | 19 (18.4) | 84 (81.6) | 1.18 (0.67–2.09) | 0.570 | |
| Nursing | 103 (5.1) | 18 (17.5) | 85 (82.5) | 1.14 (0.64–2.03) | 0.647 | |
| Other | 87 (4.3) | 21 (24.1) | 66 (75.9) | 1.04 (0.59–1.84) | 0.896 | |
| Living arrangements | ||||||
| With family | 739 (36.4) | 233 (31.5) | 506 (68.5) | 1 | ||
| With friends/housemates | 503 (24.8) | 123 (24.5) | 380 (75.5) | 1.32 (0.1–0.1.75) | 0.055 | |
| Alone | 790 (38.9) | 203 (25.7) | 587 (74.3) | 1.30 (1.01–1.66) | ||
| Perceived health status | ||||||
| Very poor/Poor | 116 (5.7) | 74 (63.8) | 42 (36.2) | 1 | ||
| Fair | 481 (23.7) | 198 (41.2) | 283 (58.8) | 2.23 (1.42–3.51) | ||
| Good | 1021 (50.2) | 241 (23.6) | 780 (76.4) | 4.49 (2.88–6.98) | ||
| Very good | 414 (20.4) | 46 (11.1) | 368 (88.9) | 10.09 (5.95–17.1) | ||
| History of chronic illness | ||||||
| No | 1790 (88.1) | 454 (25.4) | 1336 (74.6) | 1.39 (1.02–1.91) | ||
| Yes | 242 (11.9) | 105 (43.4) | 137 (56.6) | 1 | ||
| Fear of COVID-19 | ||||||
| Low | 1197 (58.6) | 278 (23.2) | 919 (76.8) | 1.47 (1.18–1.82) | ||
| High | 835 (40.9) | 281 (33.7) | 554 (66.3) | 1 | ||
| Previously volunteered in the healthcare sector | ||||||
| No | 1281 (63) | 382 (29.8) | 899 (70.2) | 1 | ||
| Yes | 751 (37) | 177 (23.6) | 574 (76.4) | 1.01 (0.79–1.29) | 0.953 | |
| Previously volunteered in a non-healthcare sector | ||||||
| No | 696 (34.3) | 275 (39.5) | 421 (60.5) | 1 | ||
| Yes | 1336 (65.7) | 284 (21.3) | 1052 (78.7) | 1.94 (1.55–2.44) | ||
| Attended COVID-19 prevention and control training | ||||||
| No | 1506 (74.1) | 480 (31.9) | 1026 (68.1) | 1 | ||
| Yes | 526 (25.9) | 79 (15) | 447 (85) | 1.78 (1.29–2.44) | ||
| Volunteered in COVID-19 prevention and control | ||||||
| No | 1653 (81.3) | 489 (29.6) | 1164 (70.4) | 1 | ||
| Yes | 379 (18.7) | 70 (18.5) | 309 (81.5) | 1.2 (0.85–1.69) | 0.309 |
Bold values denote statistical significance at the p < 0.05 level