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Web‐based instrument to assess skills in visual inspection of the cervix among healthcare providers
Author(s) -
Negulescu RalucaAnca,
Catarino Rosa,
De Vuyst Hugo,
UndurragaMalinverno Manuela,
MeyerHamme Ulrike,
Alec Milena,
Campana Aldo,
Vassilakos Pierre,
Petignat Patrick
Publication year - 2016
Publication title -
international journal of gynecology and obstetrics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.895
H-Index - 97
eISSN - 1879-3479
pISSN - 0020-7292
DOI - 10.1016/j.ijgo.2015.11.024
Subject(s) - web application , health care , cervix , psychology , medical physics , computer science , medicine , world wide web , cancer , economics , economic growth
Objective To validate a web‐based instrument for assessing healthcare providers' skills in visual inspection with acetic acid or Lugol iodine (VIA/VILI) for the diagnosis and management of cervical intraepithelial neoplasia. Methods An observational cross‐sectional study enrolled healthcare providers in a web‐based assessment of VIA/VILI skills between August and November 2014. Participants participated in a four‐module training course, followed by a multiple‐choice test with 70 questions based on cervical photographs of HPV‐positive women participating in cervical screening. Logistic regression was used to identify relationships between independent variables and success on the test. Results Overall, 255 participants completed the test and 99 (38.8%) passed. No correlation was found between age or sex and test performance. Compared with other healthcare workers, physicians (odds ratio [OR] 1.91, 95% confidence interval [CI] 1.01–3.63; P = 0.048), and participants with more colposcopy experience (OR 3.62, 95% CI 1.91–6.85; P < 0.001) and postgraduate VIA/VILI training (OR 1.95, 95% CI 1.16–3.29; P = 0.012) were more likely to pass the test. Participants who repeated the test (31/255 [12.2%]) were five times more likely to succeed on their second repeat (OR 5.89, 95% CI 1.46–23.73; P = 0.013). Conclusion Web‐based training for VIA/VILI is feasible and can identify healthcare workers who are proficient in this technique.