| Literature DB >> 29902990 |
Xiaomei Dong1, Jianwei Yang1, Lin Peng2, Minhui Pang1, Jiayi Zhang1, Zhan Zhang3, Jiaming Rao1, Haiqing Wang1, Xiongfei Chen4.
Abstract
BACKGROUND: HIV-related discrimination amongst healthcare providers is one of the strongest obstacles to effectively responding to HIV. This study was conducted to explore the occurrence of and other factors related to discrimination against people living with HIV/AIDS amongst healthcare providers in Guangzhou, China.Entities:
Keywords: HIV/AIDS; Healthcare providers; Stigma and discrimination
Mesh:
Year: 2018 PMID: 29902990 PMCID: PMC6003171 DOI: 10.1186/s12889-018-5654-8
Source DB: PubMed Journal: BMC Public Health ISSN: 1471-2458 Impact factor: 3.295
HIV-related knowledge of healthcare providers, Guangzhou, China
| Item | Correct responses N (%) | |
|---|---|---|
| HIV transmission knowledge | Which is the least risky pattern of exposure to HIV-positive blood? | 818 (84.2) |
| Which type of body fluid from PLWHA can cause infection? | 797 (82.0) | |
| Which is the most effective measure to prevent HIV infection? | 769 (79.1) | |
| What is the current stage of the AIDS epidemic in China? | 752 (77.4) | |
| Which sexual behaviour is the most dangerous? | 470 (48.4) | |
| What are the epidemic characteristics of HIV/AIDS in China? | 379 (39.0) | |
| Exposure prevention knowledge | How should one address needles used by HIV-positive patients? | 879 (90.4) |
| Which is not a universal precautionary principle to prevent occupational exposure to HIV? | 807 (83.0) | |
| Which is not a measure of HIV occupational exposure? | 741 (76.2) | |
| What is the best time for preventive medication after occupational exposure? | 720 (74.1) | |
| Which treatment is not correct if stabbed by HIV-contaminated needles? | 681 (70.1) | |
| Which is not a principle that is commonly followed by parties and the relevant departments after HIV occupational exposure? | 564 (58.0) | |
| Which is not the main basis for assessing the risk of HIV exposure? | 556 (57.2) | |
| How many days is the course of preventive medication after occupational exposure? | 491 (50.5) | |
| How should one to treat the eye mucosa after it is splashed by HIV-infected fluid? | 460 (47.3) | |
| Which is the correct operation to prevent occupational exposure to HIV? | 214 (22.0) |
Sociodemographic characteristics of healthcare providers, Guangzhou, China
| Variable | Number | Percent |
|---|---|---|
| Gender | ||
| Male | 266 | 27.4 |
| Female | 706 | 72.6 |
| Working years | ||
| ≤2 years | 430 | 44.2 |
| 3–7 years | 235 | 24.2 |
| ≥8 years | 307 | 31.6 |
| Medical education | ||
| Junior college degree or lower | 396 | 40.7 |
| Medical degree | 428 | 44.0 |
| Higher than medical degree | 148 | 15.2 |
| Level of care | ||
| Tertiary hospital | 645 | 66.4 |
| Secondary hospital or lower | 327 | 33.6 |
| Training | ||
| Yes | 519 | 53.4 |
| No | 453 | 46.6 |
| Profession | ||
| Doctor | 437 | 45.0 |
| Nurse | 432 | 44.4 |
| Laboratory technician | 103 | 10.6 |
| Department | ||
| Internal medicine | 266 | 27.4 |
| Surgical department | 355 | 36.5 |
| Clinical laboratory department | 66 | 6.8 |
| Administrative department | 285 | 29.3 |
Healthcare providers’ personal attitudes at work
| Personal attitudes | N (%) |
|---|---|
| Evaluation of occupational exposure protection system | |
| Satisfaction | 321 (33.0%) |
| Neutral | 557 (57.2%) |
| Dissatisfaction | 94 (9.7%) |
| Fear of work-related HIV exposure | |
| Substantial fear | 158 (16.3%) |
| Some fear | 611 (62.9%) |
| No fear | 203 (20.9%) |
| I would provide general treatment for PLWHA | |
| Yes | 828 (85.2%) |
| No | 144 (14.8%) |
| I would provide high-risk treatment for PLWHA | |
| Yes | 765 (78.7%) |
| No | 207 (21.3%) |
Acts of discrimination by healthcare providers, Guangzhou, China
| Had experience in the diagnosis and treatment of PLWHA | Had no experience | |||
|---|---|---|---|---|
| Yes | No | Total | ||
| Refused to treat | 149 (38.6) | 237 (61.4) | 386 | 586 |
| Forced detection | 252 (65.3) | 134 (34.7) | 386 | 586 |
| Differential treatment | 197 (51.0) | 189 (49.0) | 386 | 586 |
| Disclosed information | 179 (46.4) | 207 (53.6) | 386 | 586 |
Univariate analysis of discrimination towards PLWHA, Guangzhou, China
| Refused treatment ( | Forced detection (n = 386) | Differential treatment (n = 386) | Disclosed information ( | |||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Yes | No |
| Yes | No |
| Yes | No |
| Yes | No |
| |
| Level of care | ||||||||||||
| Tertiary hospital | 87 (31.3) | 191 (68.7) | 22.38a | 171 (61.5) | 107 (38.5) | 6.23 b | 142 (51.1) | 136 (48.9) | 0.00 | 130 (46.8) | 148 (53.2) | 0.06 |
| Secondary hospital and lower | 62 (57.4) | 46 (42.6) | 81 (75.0) | 27 (25.0) | 55 (50.9) | 53 (49.1) | 49 (45.4) | 59 (54.6) | ||||
| Number of years working | ||||||||||||
| ≤ 2 years | 46 (34.6) | 87 (65.4) | 6.84 b | 85 (63.9) | 48 (36.1) | 0.19 | 68 (51.1) | 65 (48.9) | 0.03 | 68 (51.1) | 65 (48.9) | 3.19 |
| 3–7 years | 55 (48.7) | 58 (51.3) | 74 (65.5) | 39 (34.5) | 57 (50.4) | 56 (49.6) | 45 (39.8) | 68 (60.2) | ||||
| ≥ 8 years | 48 (34.3) | 92 (65.7) | 93 (66.4) | 47 (33.6) | 72 (51.4) | 68 (48.6) | 66 (47.1) | 74 (52.9) | ||||
| Profession | ||||||||||||
| Doctor | 63 (37.3) | 106 (62.7) | 3.26 | 105 (62.1) | 64 (37.9) | 5.13 | 91 (53.8) | 78 (46.2) | 2.15 | 77 (45.6) | 92 (54.4) | 0.35 |
| Nurse | 82 (41.4) | 116 (58.6) | 138 (69.7) | 60 (30.3) | 99 (50.0) | 99 (50.0) | 92 (46.5) | 106 (53.5) | ||||
| Laboratory technician | 4 (21.1) | 15 (78.9) | 9 (47.4) | 10 (52.6) | 7 (36.8) | 12 (63.2) | 10 (52.6) | 9 (47.4) | ||||
| Department | ||||||||||||
| Internal medicine | 48 (37.2) | 81 (62.8) | 6.14 | 71 (55.0) | 58 (45.0) | 11.93a | 52 (40.3) | 77 (59.7) | 11.27a | 66 (51.2) | 63 (48.8) | 3.88 |
| Surgical department | 65 (38.9) | 102 (61.1) | 119 (71.3) | 48 (28.7) | 100 (59.9) | 67 (40.1) | 68 (40.7) | 99 (59.3) | ||||
| Clinical laboratory department | 3 (15.8) | 16 (84.2) | 10 (52.6) | 9 (47.4) | 9 (47.4) | 10 (52.6) | 10 (52.6) | 9 (47.4) | ||||
| Administrative department | 33 (46.5) | 38 (53.5) | 52 (73.2) | 19 (26.8) | 36 (50.7) | 35 (49.3) | 35 (49.3) | 36 (50.7) | ||||
| HIV transmission knowledge | ||||||||||||
| Low score | 96 (43.8) | 123 (56.2) | 5.85b | 157 (71.7) | 62 (28.3) | 9.16b | 115 (52.5) | 104 (47.5) | 0.44 | 113 (51.6) | 106 (48.4) | 5.56 b |
| High score | 53 (31.7) | 114 (68.3) | 95 (56.9) | 72 (43.1) | 82 (49.1) | 85 (50.9) | 66 (39.5) | 101 (60.5) | ||||
| Exposure prevention knowledge | ||||||||||||
| Low score | 97 (42.9) | 129 (57.1) | 4.29b | 152 (67.3) | 74 (32.7) | 0.94 | 122 (54.0) | 104 (46.0) | 1.89 | 110 (48.7) | 116 (51.3) | 1.16 |
| High score | 52 (32.5) | 108 (67.5) | 100 (62.5) | 60 (37.5) | 75 (46.9) | 85 (53.1) | 69 (43.1) | 91 (56.9) | ||||
| Training | ||||||||||||
| No | 74 (44.3) | 93 (55.7) | 4.05b | 111 (66.5) | 56 (33.5) | 0.18 | 92 (55.1) | 75 (44.9) | 1.94 | 80 (47.9) | 87 (52.1) | 0.28 |
| Yes | 75 (34.2) | 144 (65.8) | 141 (64.4) | 78 (35.6) | 105 (47.9) | 114 (52.1) | 99 (45.2) | 120 (54.8) | ||||
| Evaluation of occupational exposure protection system | ||||||||||||
| Satisfaction | 62 (44.0) | 79 (56.0) | 2.82 | 89 (63.1) | 52 (36.9) | 8.27 a | 64 (45.4) | 77 (54.6) | 2.85 | 63 (44.7) | 78 (55.3) | 0.44 |
| Neutral | 70 (35.0) | 130 (65.0) | 125 (62.5) | 75 (37.5) | 109 (54.5) | 91 (45.5) | 96 (48.0) | 104 (52.0) | ||||
| Dissatisfaction | 17 (37.8) | 28 (62.2) | 38 (84.4) | 7 (15.6) | 24 (53.3) | 21 (46.7) | 20 (44.4) | 25 (55.6) | ||||
| Fear | ||||||||||||
| Substantial fear | 41 (54.7) | 34 (45.6) | 10.16 a | 67 (89.3) | 8 (10.7) | 27.43 a | 58 (77.3) | 17 (22.7) | 26.12 a | 43 (57.3) | 32 (42.7) | 4.52 |
| Some fear | 80 (34.5) | 152 (65.5) | 131 (56.5) | 101 (43.5) | 106 (45.7) | 126 (54.3) | 102 (44.0) | 130 (56.0) | ||||
| No fear | 28 (35.4) | 51 (64.6) | 54 (68.4) | 25 (31.6) | 33 (41.8) | 46 (58.2) | 34 (43.0) | 45 (57.0) | ||||
b P < 0.05, a P < 0.01
Multivariate regression analysis of discrimination towards PLWHA, Guangzhou
| Discrimination | Variables | Wald | OR (95% CI) |
|---|---|---|---|
| Refused treatment (0 = No, 1 = Yes) | Level of care (ref: Tertiary hospital) | ||
| Secondary hospital or lower | 19.405 | 2.997 (1.839, 4.885) | |
| Number of years working (ref: ≥8 years) | 6.097 | ||
| 3–7 years | 5.179 | 1.877 (1.091, 3.227) | |
| ≤2 years | 0.080 | 1.083 (0.624, 1.881) | |
| HIV transmission knowledge (ref: High score) | |||
| Low score | 5.797 | 1.741 (1.109, 2.735) | |
| Fear (ref: No fear) | 9.316 | ||
| Some fear | 0.369 | 0.840 (0.478, 1.474) | |
| Substantial fear | 4.115 | 2.021 (1.024, 3.987) | |
| Forced detection (0 = No, 1 = Yes) | Level of care (ref: Tertiary hospital) | ||
| Secondary hospital or lower | 5.444 | 1.900 (1.108, 3.258) | |
| Department (ref: Internal medicine) | 12.558 | ||
| Surgical department | 9.202 | 2.221 (1.326, 3.720) | |
| Clinical laboratory department | 0.411 | 0.710 (0.249, 2.024) | |
| Administrative department | 4.249 | 2.031 (1.035, 3.985) | |
| Evaluation of Occupational Exposure Protection System (ref: Satisfaction) | 6.638 | ||
| Neutral | 0.053 | 1.058 (0.653, 1.714) | |
| Dissatisfaction | 6.320 | 3.276 (1.299, 8.262) | |
| Fear (ref: No fear) | 23.348 | ||
| Some fear | 3.440 | 0.585 (0.332, 1.031) | |
| Substantial fear | 9.113 | 4.014 (1.628, 9.898) | |
| Differential treatment (0 = No, 1 = Yes) | Department (ref: Internal medicine) | 13.779 | |
| Surgical department | 13.490 | 2.520 (1.539, 4.127) | |
| Clinical laboratory department | 0.393 | 1.383 (0.502, 3.815) | |
| Administrative department | 1.647 | 1.492 (0.810, 2.751) | |
| Fear (ref: No fear) | 25.99 | ||
| Some fear | 0.819 | 1.277 (0.752, 2.169) | |
| Substantial fear | 21.741 | 5.583 (2.710, 11.504) | |
| Disclosed information (0 = No, 1 = Yes) | HIV transmission knowledge (ref: High score) | ||
| Low score | 5.527 | 1.631 (1.085, 2.453) |