| Literature DB >> 31908594 |
Pei Pei Tan1, Hafizuddin Mohamed Fauzi1, Rosnah Bahar2, Chee Tao Chang3, Nur Arzuar Abdul Rahim1.
Abstract
BACKGROUND: Unsafe blood products may cause transfusion-transmissible infections. This study aimed to evaluate the knowledge and perceptions of blood donors regarding blood safety.Entities:
Keywords: blood donors; blood safety; blood transfusion; knowledge; perception
Year: 2019 PMID: 31908594 PMCID: PMC6939727 DOI: 10.21315/mjms2019.26.6.13
Source DB: PubMed Journal: Malays J Med Sci ISSN: 1394-195X
Demographic characteristics of donors
| Characteristics | Frequency ( | Percentage |
|---|---|---|
| Age | 25.79±8.40 | |
| Gender | ||
| Male | 186 | 47.8 |
| Female | 203 | 52.2 |
| Race | ||
| Malay | 359 | 92.3 |
| Chinese | 20 | 5.1 |
| Indian | 7 | 1.8 |
| Others | 3 | 0.8 |
| Marital status | ||
| Single | 281 | 72.2 |
| Married | 104 | 26.7 |
| Divorced | 1 | 0.3 |
| Widow | 3 | 0.8 |
| Household income | Median: 2500 (IQR: 3700) | |
| High income | 0 | 0.0 |
| Medium income | 55 | 14.1 |
| Low income | 101 | 26.0 |
| Very low income | 233 | 59.9 |
| Occupation | ||
| Government | 42 | 10.8 |
| Private | 118 | 30.4 |
| Self-employed | 20 | 5.1 |
| Student | 204 | 52.4 |
| Unemployed | 5 | 1.3 |
| Education level | ||
| Degree/master/PhD | 169 | 43.4 |
| Diploma | 159 | 40.9 |
| Secondary school | 60 | 15.4 |
| No formal education | 1 | 0.3 |
| Donation status | ||
| First time donor | 124 | 31.9 |
| Regular donor | 219 | 56.3 |
| Lapsed donor | 46 | 11.8 |
Notes:
Age is expressed as mean standard deviation
Household income is expressed in both median (interquartile range) and categories. Income was categorised according to the Report of Household Income and Basic Amenities Survey 2016. High income: > RM13,146 Medium income: RM6,275–RM13,146, Low income: RM3,000–RM6,274 Very low income: < RM3,000 (30)
Responses on eligibility of blood donation
| Responses on eligibility criteria of blood donation | Correct respondents ( | Correct percentage (%) |
|---|---|---|
| 1. Frequent change of sexual partner | 109 | 28.0 |
| 2. Male homosexual | 112 | 28.8 |
| 3. Bisexual | 102 | 26.2 |
| 4. Aesthetic injection on day of donation | 182 | 46.8 |
| 5. Intravenous drug user | 146 | 37.5 |
| 6. Cupping | 196 | 50.4 |
| 7. Acupuncture | 146 | 37.5 |
| 8. Body piercing | 149 | 38.3 |
| 9. Tattoo | 80 | 20.6 |
Perception of donors towards blood safety
| Perception statement | Strongly disagree (%) | Disagree (%) | Unsure (%) | Agree (%) | Strongly agree (%) |
|---|---|---|---|---|---|
| 1. Donors are responsible if their blood causes infection to the patient | 8.7 | 34.4 | 27.5 | 21.9 | 7.5 |
| 2. Someone who is having fever can donate blood | 23.7 | 47.6 | 19.8 | 8.2 | 0.8 |
| 3. Donors can donate blood to check the HIV status of themselves | 20.3 | 16.5 | 23.9 | 32.1 | 7.2 |
| 4. Donors should not donate blood if they were aware that their blood is unsafe to be given to the patients | 3.1 | 1.5 | 7.5 | 32.6 | 55.3 |
| 5. Blood donors who gave untruthful declaration should be brought to justice | 2.3 | 4.9 | 21.1 | 41.1 | 30.6 |
| 6. Donors’ blood is 100% safe if the screening test is negative | 5.4 | 5.7 | 37.8 | 31.1 | 20.1 |
| 7. The blood of the donors are free from infection and can be donated if: | |||||
| (a) Donors wear condom when involved in prostitution or having multiple sexual partners | 22.1 | 24.2 | 43.4 | 8.5 | 1.8 |
| (b) Donors use the same spoon when eating with HIV patients | 20.3 | 26.2 | 37.5 | 14.1 | 1.8 |
| (c) Donors stay in the same house with Hepatitis B patient | 9.8 | 22.6 | 53.0 | 12.9 | 1.8 |
| (d) Donors involved in oral sex only when getting the service of prostitute | 25.4 | 22.4 | 46.8 | 4.6 | 0.8 |
Association of knowledge level with respondents’ sociodemographic background
| Variable | Simple logistic regression | Multiple logistic regression | ||||
|---|---|---|---|---|---|---|
|
|
| |||||
| b | OR (95% CI) | b | OR (95% CI) | |||
| Age, years | 0.028 | 1.028 (0.994, 1.064) | 0.107 | - | - | - |
| Gender | ||||||
| Male | 0 | 1 | - | - | - | |
| Female | −0.517 | 0.596 (0.353, 1.008) | 0.054 | |||
| Ethnicity | ||||||
| Malay | 0 | 1 | 0.781 | - | - | - |
| Chinese | −0.086 | 0.918 (0.297, 2.834) | 0.881 | |||
| Indians/Others | 0.725 | 2.065 (0.257, 16.579) | 0.495 | |||
| Education level | ||||||
| Degree and above | 0 | 1 | 0.013 | 0 | ||
| Diploma | 0.441 | 1.554 (0.903, 2.676) | 0.112 | 0.366 | 1.442 (0.830, 2.506) | 0.194 |
| Secondary and below | 1.518 | 4.564 (1.561, 13.348) | 0.006 | 1.420 | 4.139 (1.400, 12.236) | 0.010 |
| Household income | ||||||
| Middle income | 0 | 1 | 0.006 | 0 | ||
| Low income | 1.107 | 3.026 (1.386, 6.606) | 0.005 | 1.042 | 2.836 (1.287, 6.248) | 0.010 |
| Very low income | 0.996 | 2.708 (1.406, 5.217) | 0.003 | 0.840 | 2.316 (1.187, 4.518) | 0.014 |
| Marital Status | ||||||
| Single | 0 | 1 | 0.428 | - | - | - |
| Married | 0.412 | 1.510 (0.813, 2.805) | 0.192 | |||
| Divorced/widow/others | 19.834 | 411080657.5 (0.000, –) | 0.999 | |||
| Donor type | ||||||
| New donor | 0 | 1 | - | - | - | |
| Repeat donor | −0.607 | 0.545 (0.299, 0.995) | 0.048 | |||
| Donor status | ||||||
| New donor | 1 | 0.136 | - | - | - | |
| Regular donor | −0.557 | 0.573 (0.308, 1.064) | 0.078 | |||
| Lapsed donor | −0.752 | 0.471 (0.200, 1.111) | 0.085 | |||
Notes: b = regression coefficient, OR = odds ratio, CI = confidence interval.
Forward stepwise multiple logistic regression analysis. Multicollinearity and interaction term were checked and not found. Hosmer-Lemeshow test (P = 0.988), classification table (overall correctly classified percentage = 81.4%) and area under curve (64.5%) were applied to check model fitness.