Management of chronic diseases is complex and requires a long-term commitment to therapeutic medications. However, medication adherence is suboptimal. There is limited understanding of factors predicting medication adherence in chronic diseases in Oman. This study aimed to examine predictors of medication adherence (i.e. patient clinical and demographic data, patient-physician relationship, health literacy, social support) among Omani patients with chronic diseases. This study used a cross-sectional correlation design. Data were collected from 800 participants using convenience sampling between December 2019 and April 2020. Arabic versions of the Brief Health Literacy Screening tool, Multidimensional Scale of Perceived Social Support, Patient-Doctor Relationship Questionnaire, and Adherence in Chronic Disease Scale were used to measure study variables. Descriptive statistics, independent t tests, one-way ANOVA, Pearson correlations, and multivariate linear regression were used for analysis. The study found that factors such as the patient-physician relationship, social support, disease duration, employment status, and medication frequency significantly predicted medication adherence. Medication adherence was higher among those who were unemployed, had a better patient-physician relationship, and greater social support. However, medication adherence was lower with longer disease duration and higher daily medication frequency. Additionally, medication adherence was positively associated with perceived social support and the patient-physician relationship, but not with health literacy. In conclusion, the study reveals that patient characteristics, social support, and patient-physician relationships are key factors in predicting medication adherence in patients with chronic diseases in the Middle East. It emphasizes the importance of improving these aspects, considering factors like employment status, disease duration, and medication frequency, and enhancing healthcare provider-patient relationships and social support systems to boost adherence.

Objectives: To determine the effects that an olive oil massage has on fatigue among patients undergoing hemodialysis, and the associated sociodemographic factors that can reduce fatigue. Methods: The study used true experimental pre- and post-test research design. A total of 200 patients were recruited in a selected hemodialysis unit in southern India and were allocated to either a study or control group by randomization, with 100 patients in each group. All the patients in the intervention group were given a lower back and lower leg massage using olive oil at the beginning, and after every hour, of their hemodialysis using olive oil for a period of eight weeks. In contrast, the control group continues to receive routine care. The level of fatigue was measured using the Fatigue Severity Scale both before and after massage therapy. Results: Between 73 and 80% of patients were suffering from severe fatigue and the mean fatigue score was 5.53 (SD 1.82) and 5.56 (SD 1.57) for the study and control group, respectively. After eight weeks of massage therapy, the results showed that 53% of patients in the study group showed borderline fatigue, with a mean score of 4.39 (SD 2.37), whereas in the control group 73% patients showed severe fatigue, with a mean score of 5.17 (SD 2.00). The independent t-test between the study and the control group showed a statistically significant reduction in fatigue in the study group with a mean difference (MD) of 3.56 (t=−1.24; p=0.000). There were also statistically significant changes noted in gender and in the duration of the hemodialysis ( χ ² = 6.043; p=0.049) and ( χ ² = 6.611; p=0.046) respectively. Conclusion: The study concluded that patients undergoing hemodialysis experienced moderate to severe levels of fatigue. In patients with no or mild anemia, massage has been shown to decrease fatigue and increase energy levels among patients undergoing hemodialysis for chronic kidney disease.

Background. The incidence of delirium is high up to 46.3 among patients admitted to ICU. Delirium is linked to negative patient outcomes like increased duration of mechanical ventilation use, prolonged ICU stay, increased mortality rate, and healthcare costs. Despite the importance of delirium and its consequences that are significant, there is a scarcity of studies which explored delirium in Oman. Objectives. This study was conducted to assess the incidence of delirium, the association between the selected predisposing factors and precipitating factors with delirium, determine the predicators of delirium, and evaluate its impacts on ICU mortality and ICU length of stay among ICU patients in Oman. Methods. A multicenter prospective observational design was used. A total of 153 patients were assessed two-times a day by bedside ICU nurses through the Intensive Care Delirium Screening Checklist (ICDSC). Results. The results revealed that the delirium incidence was 26.1. Regression analysis showed that sepsis, metabolic acidosis, nasogastric tube use, and APACHE II score were independent predictors for delirium among ICU patients in Oman and delirium had significant impacts on ICU length of stay and mortality rate. Conclusion. Delirium is common among ICU patients and it is associated with negative consequences. Multidisciplinary prevention strategies should be implemented to identify and treat the modifiable risk factors.