| Literature DB >> 25134856 |
Tigistu Adamu Ashengo1, Jonathan Grund, Masitsela Mhlanga, Thabo Hlophe, Munamato Mirira, Naomi Bock, Emmanuel Njeuhmeli, Kelly Curran, Elizabeth Mallas, Laura Fitzgerald, Rhoy Shoshore, Khumbulani Moyo, George Bicego.
Abstract
BACKGROUND: Voluntary medical male circumcision (VMMC) reduces HIV acquisition among heterosexual men by approximately 60%. VMMC is a surgical procedure and some adverse events (AEs) are expected. Swaziland's Ministry of Health established a toll-free hotline to provide general information about VMMC and to manage post-operative clinical AEs through telephone triage.Entities:
Mesh:
Year: 2014 PMID: 25134856 PMCID: PMC4150954 DOI: 10.1186/1471-2458-14-858
Source DB: PubMed Journal: BMC Public Health ISSN: 1471-2458 Impact factor: 3.295
Figure 1Adverse event notification and management network.
Figure 2Triage algorithm #1: Voiding difficulties: Nurse algorithm: Post-operative voiding difficulties (Inability to Pass Urine).
Figure 3Triage algorithm #2: Pain.
Figure 4Triage algorithm #3: Bleeding.
Figure 5Schematic representation of relationship between community, VMMC clinic, and the EPR (Phone Triage Center).
Distribution of calls to the VMMC hotline (n = 17,059)
| EPR call distribution | Frequency |
|---|---|
| VMMC education and counseling | 12,492 (73.2%) |
| Information about VMMC site locations and transport | 3,654 (21.4%) |
| General post-operative complaints-reassured by phone | 500 (2.9%) |
| Referred/site-managed adverse events | 240 (1.4%) |
| Other calls | 173 (1.0%) |
| Total | 17,059 (100%) |
Severity of AEs diagnosed by telephone triage
| Severity of AEs diagnosed by the EPR | Frequency |
|---|---|
| Mild | 269 (64.0%) |
| Moderate | 139 (33.1%) |
| Severe | 12 (2.9%) |
| Total | 420 (100%) |
Types of AEs diagnosed by telephone triage
| Adverse event | Frequency | Percentage |
|---|---|---|
| Bleeding | 120 | 28.6% |
| Infection | 116 | 27.6% |
| Swelling, including Hematoma | 104 | 24.8% |
| Pain | 36 | 8.6% |
| Wound disruption | 29 | 6.9% |
| Voiding difficulty | 10 | 2.4% |
| Other | 5 | 1.2% |
| Total | 420 | (100% |
Severity and types of AEs diagnosed through clinical examination at the VMMC Sites during (N = 341)
| Severity | |||
|---|---|---|---|
| Adverse events (N = 431) | Mild (n = 157; 46%) | Moderate (n = 163; 47.8%) | Severe (n = 21; 6.2%) |
| Infection | 82 (52.2%) | 96 (58.9%) | 6 (28.6%) |
| Swelling | 25 (15.9%) | 21 (12.9%) | 5 (23.8%) |
| Wound disruption/dehiscence | 20 (12.7%) | 18 (11.0%) | 4 (19.1%) |
| Bleeding | 14 (8.9%) | 14 (8.6%) | 3 (14.3%) |
| Pain | 11 (7.0%) | NA | NA |
| Others | 5 (3.2%) | 14 (8.6%) | 3 (14.3%) |
Validity of AE algorithms by clinical confirmation of triage nurse diagnoses (n = 89)
| Characteristic | Diagnosed as moderate or severe AE by VMMC site clinicians | Diagnosed as not moderate or severe AE by VMMC site clinicians | Total | |
|---|---|---|---|---|
| Diagnosed as moderate or severe AE by telephone triage |
|
| 52 | Positive predictive value = 82.7% |
| Diagnosed as not moderate or severe AE by telephone triage |
|
| 37 | Negative predictive value = 48.6% |
| Total | 62 | 27 | 89 | |
| Sensitivity = 69.4% | Specificity = 66.7% |
Note: Sensitivity = a/(a + c); specificity = d/(b + d); positive predictive value = a/(a + b); negative predictive value = d/(c + d).