Introduction:
Knowledge of obstetric danger signs among pregnant women is of paramount importance in improving maternal, and fetal health outcomes. This study aims to determine the knowledge of danger signs among pregnant women seeking antenatal care in a teaching hospital.
Materials and Methods:
A cross-sectional study was carried out for two months among pregnant women who visited the antenatal clinic of a teaching hospital. A pre-tested and pre-designed proforma was used. Mean knowledge scores were computed and knowledge was classified into adequate and inadequate.
Results:
A total of 170 pregnant women fulfilling the inclusion criteria were included. Mean age of the study participants was found to be 26.40 ± 4.14 years. Nearly 67.10% were aware of bleeding per vagina being a danger sign, 50.0% stated excessive vomiting as a danger sign, 23.50% knew that blurring of vision was a danger, while a mere 20.0% reported that convulsions were a danger sign. Overall, adequate knowledge (total knowledge score of 5 and above) was observed in 54.70% of the participants.
Conclusion:
Majority of the study participants had adequate knowledge of danger signs in pregnancy. However, when knowledge about specific individual danger signs were further assessed, a high proportion had very poor knowledge. The mean knowledge scores were found to be low.
IoMT is primarily used to collect very sensitive individual health information; its security and privacy are critical in protecting the patient's life, which may otherwise have a negative impact on the patient's health and, in the worst-case scenario, result in death. This needs a thorough examination of available security and privacy measures in the IoMT space. Medical systems acquire, process, and make vital choices based on critical and sometimes life-threatening health information. Cybercriminals that target the weaknesses in these IoMT devices may be able to acquire unauthorized access to sensitive personal and medical records as well as gain access to the hospital network. Attacks on such linked devices can result in serious health injuries and even death for patients. Numerous threats, assaults, and vulnerabilities that might influence different levels in IoT-based healthcare applications have been studied. Wearable sensing devices were used in most IoT-based healthcare systems, making the applications layer the next highly susceptible layer.
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