PHDtheses:Nursing
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Item Quality of Antenatal Care Services in Military Antenatal Health Care Centers-Khartoum State -Sudan(Neelain University, 2013) Alawia Abd Elrhman Elshikh Abd AllaQuality of antenatal care is an important determinant of safe motherhood. Antenatal care plays an important role in reducing maternal mortality and morbidity by detecting early risk factors in order to have an effective intervention in time. The World Health Organization (WHO) estimated that 358 000 maternal deaths occurred worldwide in 2008.Nearly all of these deaths (99%) occur in the developing countries, due to pregnancy related complications. Sudan is one of the countries with an unacceptable high maternal mortality,216/100 000 live births. The overall aim of the study was to study quality of antenatal care services in military antenatal health care centers. Methods: This study a facility - based descriptive cross - sectional study conducted in Military antenatal health care centers at Khartoum State. The subjects of the study included (pregnant women and health care providers). A proportional to size sampling technique was used to draw the sample size for 385 pregnant women. Also total coverage technique was used for interviewing 60 health care providers employed in the military centers. Data was analyzed using summary sheet for facilities. While qualitative data was analyzed by SPSS version 17. Results : The study has explored that there was poor level of knowledge and skills among health care providers ( 83.3 %) of them did not hear about the quality of ANC. Moreover about (71.7%) of them had poor knowledge about physical examination. In addition (66.7%) of them had poor skills during measuring blood pressure.Also the pregnant women were dissatisfied regarding ANC services provided. In addition there was alack of facilities for providing ANC services. Conclusion : The study revealed that level of knowledge and skills the health care providers was poor. Also the pregnant women were dissatisfied regarding ANC services provided to them. In addition to lack of facilities for providing ANC services. Providers in services training and upgrading center facilities were needed. XIItem Risk Factors For Depression Among Medical Personnel Working at Governmental Health Facilities in Alhasahesa City, Sudan(Al Neelain University, 2018) Intisar Elshiekh MohammedBackground: Healthcare workers are exposed to a higher risk of depressive disorders than the general population related to their working conditions which may succumb them to some clinical depression. Aim: The aim of this study was to assess the risk factors of depression among governmental healthcare workers in Alhasahesa city, Sudan. Methodology: This is a descriptive hospital-based study with stratified random sampling, conducted among governmental healthcare workers. The study enrolled 208 participants, included both gender; their ages ranged between 20 to 59 years. The study variables included sociodemographic factors, work related factors and health factors . The required data was collected by predesigned questionnaire in addition to two scales (Beck's Scale for depression and hospital anxiety and depression scale (HAD,s Scale) . Data was analyzed using Medical Statistical Package for Social Science (SPSS) version 22. Results: The participants were 208 governmental healthcare workers, 123 (59.1%) of them were females and 85 (40.9%) were males their age ranging between 20 and 59 years. According to Beck scale of depression, (77.9%) of participants were normal while (51.0%) were normal in hospital anxiety and depression scale. On the other hand, hospital anxiety and depression scale showed a variation between depression risk factors association. Moreover; the study reflected that socio demographic factors such gender, age, and marital status, daily working hours, work relations had insignificances association among risk factors of depression. Work related variables including job, academic qualifications job satisfaction, working conditions and years of employment were found to be significantly as risk factors for depression. 64.4% of participants were optimistic towards the future. Conclusion: The governmental healthcare workers in Alhasahesa city were exposed to considerable risk factors of depression. Entire results deduced by Beck’ scale of depression showed that job variable have significant association as risk factor for depression between tested variables. 22.1% of the study population have variable level of depression ranging from mild to severe according to Beck scale while 41% suffering from depression according to hospital anxiety and depression scale . The study emphasizes on much attention and further studies needs to be done to alleviate the negative impact of the risk factors of depression among this study population