Background: Nurses, medical laboratory scientists and midwives comprise a large portion of healthcare personnel. Healthcare personnel have an important role in guiding and encouraging patients and communities, and showing role modeling behavior. Objective: This study aimed to evaluate and explore the perception of nurses, medical laboratory scientists, and midwives toward coronavirus vaccination. Methods: A descriptive cross-sectional facility-based study was conducted. Data were collected using an online Google form questionnaire. Demographic variables were analyzed using frequencies and percentages. The association between independent variables and the decision of receiving the COVID-19 vaccine were evaluated by binary logistic regression and Chi-square test. Results: In this study, 375 responses were collected, of which 324 (86.4%) were female. The majority of the participants (73.9%) were aged between 20 and 30 years. There were 160 (42.7%) medical laboratory scientists, 145 (38.7%) nurses, and 70 (18.7%) midwives. More than half of the participants (53.6%) accepted receiving vaccination against COVID-19. Results showed a positive correlation of vaccine acceptance with nurses, medical laboratory scientists, and midwives, suggesting that they are more likely to be vaccinated. Conclusion: There was a good perception towards COVID-19 vaccination, as 53.4% of the participants accepted receiving the COVID-19 vaccine, which is a good rate for acceptance. This finding has a positive impact on the whole vaccination process, as the recommendations of medical laboratory scientists, nurses, and midwives affect the behavior of the general population toward vaccination.
Aim
Waiting time (WT) reflects quality of services delivered by Primary health care level. Long waiting time is due to various causes, among which crowdedness is a main cause. This prolonged time has negative impacts on PHC services utilization as well as patients’ outcomes. The aim of this study is to measure the total WT, assess the crowdedness in PHC centers, and to determine the possible consequences of this long waiting time.
Method
Descriptive cross sectional– health institution-based study done in 40 Health centres across Khartoum state using randomized multi-stage sampling. Patients, doctors and lab technicians were interviewed using three different pre-tested structured questionnaires.
Results
A total of 477 patients were included in the study. The average waiting time was found to be 168 minutes. Crowdedness was one of the main causes of delay in waiting time. The lab was the most perceived crowded service (74.4% of the respondents). This long WT had health consequences on patients, ranging from backache, joint pain, and headaches to hypoglycemic symptoms. These symptoms affected patients' willingness to return to the same center. 36.4% of the affected patients were unwilling to revisit the same center.
Conclusions
WT in this study is longer compared to studies from other countries. Crowdedness is one of the main causes of long WT. Due to this prolonged time, patients experienced physical symptoms. It also affected their future attitude regarding PHC centers utilization. There is a need to understand the underlying causes of this issue and address them appropriately.
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