METHODS: A prospective randomized study involving 55 patients in the epidural group and 68 in the control pethidine--inhalational entonox group.
RESULTS: There were significantly more obstetric interventions (instrumental deliveries) in the epidural group (p < 0.01). The total duration of labour and the duration of the second stage was prolonged in the epidural group (p < 0.01). There were more malpositions at the second stage of labour in the epidural group (p < 0.02). There were no differences in fetal outcome (Apgar scores and Special Care Nursery admissions). Patients in the epidural group were consistently happier with their method of pain relief (p < 0.01). Two patients required blood patches while another 2 patients had persistent backache post epidural analgesia.
CONCLUSION: Epidural analgesia in primigravidae in spontaneous labour at term led to an increased instrumental delivery rate, prolonged duration of labour, greater rate of malpositions in the second stage, increased oxytocin requirements but with no difference in fetal outcomes but with happier mothers as compared to the control group.
OBJECTIVE: This study was looking at the acceptance towards using social network information system among public health workers.
MATERIALS AND METHOD: This study was done on 205 Malaysian One Health University Network (MyOHUN) members through email and physical survey.
RESULTS: Results show that 62.4% public health workers accepted the use technology. The acceptance was shown to be associated with performance expectancy (p<0.05). However, unlike the very famous Unified Theory of Acceptance and Use of Technology (UTAUT) model, the acceptance of social network information system was not associated with effort expectancy, social factors, facilitating conditions and socio-demographic factors. Therefore, it is suggested that social network information system be developed by the authorities in Malaysia, and be developed in a way that the system could strongly increase performance in detection of outbreak earlier than the current normal pathways. As such the system to be accepted and used, it must be sensitive, specific and be able to detect influenza outbreak early CONCLUSION: The development of social network information system is feasible as it is highly accepted and it's potential to improve early detection of influenza outbreak.