| Literature DB >> 23672424 |
Vincenzo Puro1, Antonio Palummieri, Gabriella De Carli, Pierluca Piselli, Giuseppe Ippolito.
Abstract
BACKGROUND: To investigate perceptions and attitude to prescribe Pre-Exposure Prophylaxis (PrEP) among HIV specialists.Entities:
Mesh:
Substances:
Year: 2013 PMID: 23672424 PMCID: PMC3658955 DOI: 10.1186/1471-2334-13-217
Source DB: PubMed Journal: BMC Infect Dis ISSN: 1471-2334 Impact factor: 3.090
Attitudes towards pre-exposure prophylaxis (PrEP) prescription among 311 HIV specialists
| | |||
| No | 95 (30.5) | ||
| Yes | 216 (69.5) | ||
| Injection drug users | 45 (20.8) | ||
| | |||
| Men who have sex with men (MSM) | 118 (54.6) | 34 (15.7) | 152 (70.3) |
| Persons with sexually transmitted infections | 90 (41.7) | 35 (16.2) | 125 (57.9) |
| Persons with multiple partners | 91 (42.1) | 40 (18.5) | 131 (60.6) |
| Sex workers/Transactional sex | 84 (38.8) | 47 (21.8) | 131 (60.6) |
| | 174 (80.6) | ||
| | |||
| Men in heterosexual couples… | 86 (39.8) | 62 (28.7) | 148 (68.5) |
| Women in heterosexual couples… | 98 (45.4) | 73 (33.8) | 171 (79.2) |
| Men in MSM couples… | 97 (44.9) | 73 (33.8) | 170 (78.7) |
| Women for conception… | 71 (32.8) | 82 (38.0) | 153 (70.8) |
| Men for conception… | 72 (33.3) | 60 (27.8) | 132 (61.1) |
| | 200 (92.6) | ||
a Percentages may exceed 100% as participants checked all that applied.
Factors associated with positive attitude towards PrEP prescription among HIV specialists
| Gender | |||||
| Male | 122 (56.5) | 52 (54.7) | 174 (55.9) | 1 | 1 |
| Female | 94 (43.5) | 43 (45.3) | 137 (44.1) | 0.93 (0.57-1.51) | 0.85 (0.50-1.45) |
| Age Class | |||||
| ≤40 | 33 (15.3) | 18 (18.9) | 51 (16.4) | 1 | 1 |
| 41-50 | 51 (23.6) | 26 (27.4) | 77 (24.8) | 1.07 (0.51-2.25) | 0.68 (0.30-1.56) |
| >50 | 132 (61.1) | 51 (53.7) | 183 (58.8) | 1.41 (0.73-2.73) | 1.07 (0.51-2.25) |
| Length of service (years) | |||||
| < 10 | 35 (16.2) | 20 (21.1) | 55 (17.7) | 1 | |
| 10-19 | 71 (32.9) | 35 (36.8) | 106 (34.1) | 1.16 (0.59-2.29) | |
| > = 20 | 110 (50.9) | 40 (42.1) | 150 (48.2) | 1.57 (0.81-3.03) | |
| Workplace | |||||
| Non teaching hospital | 129 (59.7) | 58 (61.1) | 187 (60.1) | 1 | |
| University/Research institute | 87 (40.3) | 37 (38.9) | 124(39.9) | 1.06 (0.65-1.73) | |
| Prevailing activity | |||||
| Ward/Inpatients | 116 (53.7) | 53 (55.8) | 169 (54.3) | 1 | |
| Outpatient clinic/Day hospital | 100 (46.3) | 42 (44.2) | 142 (45.7) | 1.09 (0.67-1.77) | |
| Survey | |||||
| Online Survey | 69 (31.9) | 55 (57.9) | 124 (39.9) | 1 | 1 |
| Regional HIV education | 147 (68.1) | 40 (42.1) | 187 (60.1) | ||
| Onset of activity with HIV patients | |||||
| HAART era | 57 (26.4) | 34 (35.8) | 91 (29.3) | 1 | |
| Pre-HAART era | 159 (73.6) | 61 (64.2) | 220 (70.7) | 1.55 (0.93-2.61) | |
| HIV-infected persons currently followed | |||||
| < =5 | 45 (20.8) | 19 (20.0) | 64 (20.6) | 1 | |
| 6-50 | 61 (28.2) | 28 (29.5) | 89 (28.6) | 0.92 (0.46-1.85) | |
| >50 | 110 (50.9) | 48 (50.5) | 158 (50.8) | 0.97 (0.51-1.82) | |
| HIV tests prescribed in the last month | |||||
| < =5 | 109 (50.5) | 46 (48.4) | 155 (49.8) | 1 | |
| 6-20 | 77 (35.6) | 33 (34.7) | 110 (35.4) | 0.98 (0.58-1.68) | |
| >20 | 30 (13.9) | 16 (16.8) | 46 (14.8) | 0.79 (0.39-1.59) | |
| Antiretrovirals prescription to HIV negative individuals | |||||
| No | 26 (12.0) | 30 (31.6) | 56 (18.0) | 1 | 1 |
| Yes | 190 (88.0) | 65 (68.4) | 255 (82.0) | ||
| Pre-emptive information on Post-Exposure Prophylaxis | |||||
| No | 65 (30.1) | 44 (46.3) | 109 (35,0) | 1 | 1 |
| Yes | 151 (69.9) | 51 (53.7) | 202 (65,0) | ||
| Self-evaluation of PrEP knowledge | |||||
| Poor | 73 (33.8) | 27 (28.4) | 100 (32.1) | 1 | 1 |
| Sufficient | 72 (33.3) | 42 (44.2) | 114 (36.7) | 0.63 (0.35-1.14) | 0.87 (0.46-1.66) |
| Good | 71 (32.9) | 26 (27.4) | 97 (31.2) | 1.01 (0.54-1.90) | 1.75 (0.82-3.74) |
PrEP, Pre-exposure prophylaxis; HAART, Highly Active Anti-Retroviral Treatment; OR, Odds ratio; MLR-OR, Multiple variable Logistic Regression – Odds Ratio; CI, Confidence Interval.
Boldface = p < 0.05.
Perception of PrEP among HIV specialists according to their attitude towards PrEP prescription
| | |||||
|---|---|---|---|---|---|
| I am concerned that PrEP will not be 100% effective (N = 295) | Agree | 161 (78.9) | 77 (84.6) | 238 | 1 |
| Disagree | 43 (21.1) | 14 (15.4) | 57 | 1.47 (0.76-2.85) | |
| I am concerned about the potential side effects of PrEP (N = 297) | Agree | 133 (64.9) | 75 (81.5) | 208 | 1 |
| Disagree | 72 (35.1) | 17 (18.5) | 89 | ||
| I feel uncomfortable prescribing drugs for new indications unless there is clear evidence of benefit (N = 293) | Agree | 132 (65.0) | 71 (78.9) | 203 | 1 |
| Disagree | 71 (35.0) | 19 (21.1) | 90 | ||
| I am concerned about a low adherence to PrEP* (N = 159) | Agree | 55 (59.8) | 44 (65.7) | 99 | 1 |
| Disagree | 37 (40.2) | 23 (34.3) | 60 | 1.29 (0.67-2.48) | |
| I do not have time to engage in prevention counselling and PrEP monitoring (N = 290) | Agree | 22 (11.0) | 7 (7.8) | 29 | 1 |
| Disagree | 178 (89.0) | 83 (92.2) | 261 | 0.68 (0.28-1.66) | |
| The use of PrEP will cause patients to engage in riskier behaviours (N = 297) | Agree | 145 (70.4) | 73 (80.2) | 218 | 1 |
| Disagree | 61 (29.6) | 18 (19.8) | 79 | 1.71 (0.94-3.10) | |
| The provision of PrEP will result in an increase in sexually transmitted disease incidence among patients (N = 296) | Agree | 136 (66.7) | 67 (72.8) | 203 | 1 |
| Disagree | 68 (33.3) | 25 (27.2) | 93 | 1.34 (0.78-2.31) | |
| Encourage access to testing and care for HIV infection are more effective measures* (N = 160) | Agree | 81 (87.1) | 64 (95.5) | 145 | 1 |
| Disagree | 12 (12.9) | 3 (4.5) | 15 | 3.16 (0.86-11.68) | |
| Non-biomedical HIV prevention interventions (behavioural) are more effective than PrEP (N = 290) | Agree | 136 (67.7) | 79 (88.8) | 215 | 1 |
| Disagree | 65 (32.3) | 10 (11.2) | 75 | ||
| Non-biomedical HIV prevention interventions (behavioural) are safer than PrEP (N = 301) | Agree | 183 (88.0) | 84 (90.3) | 267 | 1 |
| Disagree | 25 (12.0) | 9 (9.7) | 34 | 1.28 (0.57-2.85) | |
| The use of PrEP will result in less frequent HIV testing among patients (N = 299) | Agree | 90 (43.7) | 52 (55.9) | 142 | 1 |
| Disagree | 116 (56.3) | 41 (44.1) | 157 | ||
| PrEP is too costly (N = 295) | Agree | 159 (77.6) | 78 (86.7) | 237 | 1 |
| Disagree | 46 (22.4) | 12 (13.3) | 58 | 1.88 (0.94-3.75) | |
| The use of antiretrovirals for prevention will select for, and disseminate, antiretroviral drug resistance (N = 294) | Agree | 135 (66.5) | 68 (74.7) | 203 | 1 |
| Disagree | 68 (33.5) | 23 (25.3) | 91 | 1.49 (0.85-2.60) | |
Denominators are reported for each item as non respondents were excluded at univariate analysis; percentages have been calculated on respondents.
* reference sample with different denominator (N = 172); PrEP, Pre-exposure prophylaxis; OR, Odds Ratio.
Boldface = p < 0.05.