Awareness of HPV and cervical cancer prevention among Cameroonian healthcare workers

<p>Abstract</p> <p>Background</p> <p>Cervical cancer, although largely preventable, remains the most common cause of cancer mortality among women in low-resource countries.</p> <p>The objective of this study was to assess knowledge and awareness of cervical cancer prevention among Cameroonian healthcare workers.</p> <p>Methods</p> <p>A cross-sectional self-administered questionnaire in 5 parts with 46 items regarding cervical cancer etiology and prevention was addressed to healthcare workers in six hospitals of Yaoundé, Cameroon. The investigators enlisted heads of nursing and midwifery to distribute questionnaires to their staff, recruited doctors individually, in hospitals and during conferences and distributed questionnaires to students in Yaoundé University Hospital and Medical School. Eight hundred and fifty questionnaires were distributed, 401 collected. Data were analyzed with SPSS version 16.0. Chi-square tests were used and P-values < 0.05 were considered significant.</p> <p>Results</p> <p>Mean age of respondents was 38 years (range 20-71 years). Most participants were aware that cervical cancer is a major public health concern (86%), were able to identify the most important etiological factors (58%) and believed that screening may prevent cervical cancer (90%) and may be performed by Pap test (84%). However, less than half considered VIA or HPV tests screening tests (38 and 47%, respectively). Knowledge about cancer etiology and screening was lowest among nurse/midwives.</p> <p>Conclusion</p> <p>Knowledge of cervical cancer and prevention by screening showed several gaps and important misconceptions regarding screening methods.</p> <p>Creating awareness among healthcare workers on risk factors and current methods for cervical cancer screening is a necessary step towards implementing effective prevention programs.</p

The role of sFlt1/PlGF ratio in the assessment of preeclampsia and pregnancy-related hypertensive disorders

Preeclampsia is a major cause of maternal and fetal morbidity and mortality. Early recognition of the disease may be challenging. Complications may precede the onset of clinical symptoms and medical intervention is often delayed. Moreover, in the absence of specific clinical signs, many patients will present symptoms mimicking the disease without ever being diagnosed with preeclampsia. This situation may, however, lead to medical interventions and cause unnecessary stress for the patient. For many years, research tried to evaluate the significance of serum biomarkers as early indicators of preeclampsia. Among many, the sFlt-1/PlGF ratio, given its performance, aroused the greatest interest. This article reviews current knowledge on the subject, focusing on a Swiss perspective

Prediction of spontaneous onset of labor at term (PREDICT study): Research protocol

Background Recent studies have shown that elective induction of labor versus expectant management after 39 weeks of pregnancy result in lower incidence of perinatal complications, while the proportion of cesarean deliveries remains stable, or even decreases. Still, evidence regarding collateral consequences of the potential increase of induction of labor procedures is still lacking. Also, the results of these studies must be carefully interpreted and thoroughly counter-balanced with women’s thoughts and opinions regarding the active management of the last weeks of pregnancy. Therefore, it may be useful to develop a tool that aids in the decision-making process by differentiating women who will spontaneously go into labor from those who will require induction. Objective To develop a predictive model to calculate the probability of spontaneous onset of labor at term. Methods We designed a prospective national multicentric observational study including women enrolled at 39 weeks of gestation, carrying singleton pregnancies. After signing an informed consent form, several clinical, ultrasonographic, biophysical and biochemical variables will be collected by trained staff. If delivery has not occurred at 40 weeks of pregnancy, a second visit and evaluation will be performed. Prenatal care will be continued according to current hospital guidelines. Once recruitment is completed, the information gathered will be used to develop a logistic regression-based predictive model of spontaneous onset of labor between 39 and 41 weeks of gestation. A secondary exploration of the data collected at 40 weeks, as well as a survival analysis regarding time-to-delivery outcomes will also be performed. A total sample of 429 participants is needed for the expected number of events. Conclusion This study aims to develop a model which may help in the decision-making process during follow-up of the last weeks of pregnancy. Trial registration NCT05109247 (clinicaltrials.gov)