| Literature DB >> 26398343 |
Albert Ndagijimana1, Pacifique Mugenzi2, Dana R Thomson3, Bethany Hedt-Gauthier3, Jeanine U Condo1, Eugene Ngoga2.
Abstract
BACKGROUND: PrePex Male Circumcision (MC) has been demonstrated as an effective and scalable strategy to prevent HIV infection in low- and middle-income countries. This study describes the follow-up and outcomes of clients who underwent PrePex MC between January 2011 and December 2012 with weekly follow-up at the Rwanda Military Hospital, the first national hospital in Rwanda to adopt PrePex.Entities:
Mesh:
Year: 2015 PMID: 26398343 PMCID: PMC4580619 DOI: 10.1371/journal.pone.0138287
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
Bivariate associations between discharge status and socio-demographic and clinical characteristics at Rwanda Military Hospital, 2011 (N = 570).
| Variables | Formally discharged | Defaulted before formal discharge | p-value | Total | ||||
|---|---|---|---|---|---|---|---|---|
| n | % | n | % | N | % | |||
| Overall | 167 | 29.3 | 403 | 70.7 | 570 | 100 | ||
| Age | 0.555 | |||||||
| 21–24 | 97 | 58.1 | 232 | 57.6 | 329 | 57.7 | ||
| 25–29 | 50 | 29.9 | 108 | 26.8 | 158 | 27.7 | ||
| 30–34 | 11 | 6.6 | 44 | 10.9 | 55 | 9.7 | ||
| 35–39 | 6 | 3.6 | 14 | 3.5 | 20 | 3.5 | ||
| 40–44 | 3 | 1.80 | 3 | 0.7 | 6 | 1.1 | ||
| 45–54 | 0 | 0.0 | 1 | 0.3 | 1 | 0.2 | ||
| Missing | 0 | 0.0 | 1 | 0.3 | 1 | 0.2 | ||
| Total | 167 | 100.0 | 403 | 100.0 | 570 | 100.0 | ||
| Operator's qualification | 0.225 | |||||||
| Physicians | 4 | 2.4 | 5 | 1.2 | 9 | 1.6 | ||
| Non physicians | 162 | 97.0 | 388 | 96.3 | 550 | 96.5 | ||
| Missing | 1 | 0.6 | 10 | 2.5 | 11 | 1.9 | ||
| Total | 167 | 100.0 | 403 | 100.0 | 570 | 100.0 | ||
| HIV status | 0.435 | |||||||
| Positive | 1 | 0.6 | 5 | 1.2 | 6 | 1.1 | ||
| Negative | 166 | 99.4 | 398 | 98.8 | 564 | 98.9 | ||
| Total | 167 | 100.0 | 403 | 100.0 | 570 | 100.0 | ||
| Urology history | 0.256 | |||||||
| Urology problem | 5 | 3.0 | 7 | 1.7 | 12 | 2.1 | ||
| No urology problem | 162 | 97.0 | 396 | 98.3 | 558 | 97.9 | ||
| Total | 167 | 100.0 | 403 | 100.0 | 570 | 100.0 | ||
| Pain Before Device Removal | <0.001 | |||||||
| Yes | 2 | 1.2 | 1 | 0.3 | 3 | 0.5 | ||
| No | 148 | 88.6 | 202 | 50.1 | 350 | 61.4 | ||
| Missing | 17 | 10.2 | 200 | 49.6 | 217 | 38.1 | ||
| Total | 167 | 100.0 | 403 | 100.0 | 570 | 100.0 | ||
| Pain After Device Removal | 0.001 | |||||||
| Yes | 1 | 0.6 | 3 | 0.7 | 4 | 0.7 | ||
| No | 166 | 99.4 | 378 | 93.8 | 544 | 95.4 | ||
| Missing | 0 | 0.0 | 22 | 5.5 | 22 | 3.9 | ||
| Total | 167 | 100.0 | 403 | 100.0 | 570 | 100.0 | ||
| Adverse Event | 0.189 | |||||||
| Yes | 7 | 4.2 | 20 | 4.9 | 27 | 4.7 | ||
| No | 160 | 95.8 | 375 | 93.1 | 535 | 1.4 | ||
| Missing | 0 | 0.0 | 8 | 2.0 | 8 | 93.9 | ||
| Total | 167 | 100.0 | 403 | 100.0 | 570 | 100.0 | ||
| Device size | 0.725 | |||||||
| A(26 mm) | 45 | 26.9 | 99 | 24.6 | 144 | 25.3 | ||
| B(28 mm) | 61 | 36.5 | 153 | 38.0 | 214 | 37.5 | ||
| C(30 mm) | 42 | 25.2 | 109 | 27.1 | 151 | 26.5 | ||
| D(32 mm) | 15 | 9.0 | 30 | 7.4 | 45 | 7.9 | ||
| E(34 mm) | 1 | 0.8 | 8 | 2.0 | 9 | 1.6 | ||
| Missing | 3 | 1.8 | 4 | 1.0 | 7 | 1.2 | ||
| Total | 167 | 100.0 | 403 | 100.0 | 570 | 100.0 | ||
| Follow-up time(median, IQR) | 7 | 5,9 | 6 | 1,8 | <0.001 | |||
Number of adverse events among those who defaulted and remained.
| Types of adverse events | Formally discharged | Defaulted before formal discharge |
|---|---|---|
| Diffuse edema | 1 | 3 |
| Bleeding | 1 | 3 |
| Wound infection | 1 | 4 |
| Productive exudate | 1 | 2 |
| Other | 3 | 8 |
| Total | 7(4.2% of 167 clients) | 20(4.9% of 403 clients) |
Note–one client may have multiple adverse events.
Time and cumulative probability to formal discharge/healing(N = 167).
| Week interval when the wound was certified healed | Total by the interval time | Number with wound healing | Cumulative probability | 95% CI | Timing and number of adverse events | |
|---|---|---|---|---|---|---|
| 3–4 weeks | 167 | 1 | 0.0600 | 0.0008 | 0.0417 | |
| 4–5 weeks | 166 | 1 | 0.0120 | 0.0030 | 0.0470 | |
| 5–6 weeks | 165 | 13 | 0.0898 | 0.0551 | 0.1446 | |
| 6–7 weeks | 152 | 57 | 0.4311 | 0.3601 | 0.5098 | 4 |
| 7–8 weeks | 95 | 57 | 0.7725 | 0.7065 | 0.8327 | 2 |
| 8–9 weeks | 38 | 27 | 0.9341 | 0.8897 | 0.9651 | |
| 9–10 weeks | 11 | 9 | 0.9880 | 0.9609 | 0.9976 | |
| 10–11 weeks | 2 | 2 | 1.0000 | - | - | 1 |
Time and cumulative probability to defaulting (N = 403).
| Week interval when the client defaulted | Total by the interval time | Number of defaulters | Cumulative probability | 95% CI | Timing and number of adverse events | |
|---|---|---|---|---|---|---|
| 1–2 weeks | 396 | 30 | 0.0758 | 0.0536 | 0.1066 | |
| 2–3 weeks | 366 | 58 | 0.2222 | 0.1844 | 0.2665 | 2 |
| 3–4 weeks | 308 | 31 | 0.3005 | 0.2579 | 0.3483 | 2 |
| 4–5 weeks | 277 | 25 | 0.3636 | 0.3184 | 0.4131 | |
| 5–6 weeks | 252 | 44 | 0.4747 | 0.4269 | 0.5251 | |
| 6–7 weeks | 208 | 88 | 0.6970 | 0.6513 | 0.7415 | 7 |
| 7–8 weeks | 120 | 82 | 0.9040 | 0.8726 | 0.9305 | 6 |
| 8–9 weeks | 38 | 35 | 0.9924 | 0.9793 | 0.9979 | 3 |
| 9–10 weeks | 3 | 3 | 1.0000 | - | - | |