ABSTRACT
Objectives: We sought to identify subgroups of psychiatric patients in a sample of patients admitted at a tertiary care hospital in Oman who received electroconvulsive therapy (ECT) based on their demographic and clinical outcomes. Methods: We retrospectively collected data from patients who received ECT at Al Massarah Hospital, Muscat, Oman, between January 2015 and December 2019. Sociodemographic characteristics, clinical profiles, and psychiatric comorbidities were examined. Results: A total of 179 psychiatric patients received ECT; 96 (53.6%) were females. The average age at diagnosis was 42.5 years. Two-step cluster analysis showed 70 (39.1%) patients in cluster one and 109 (60.9%) patients in cluster two. Patients in cluster one included more (61.4%) females, were older (mean = 55.2 years), married (95.7%), and unemployed (88.6%). They reported they had comorbidities (55.7%) and less frequent ECT use (mean = 8.7) than patients in cluster two. Clusters differences were found on gender (p = 0.001), age (p < 0.001), marital status (p < 0.001), and occupation (p = 0.001). Significant differences were found for diagnosis (p < 0.001), comorbid medical conditions (p < 0.001), and use of ECT sessions (p = 0.006). Conclusions: Psychiatric patients receiving ECT are heterogeneous, with different demographic and clinical outcomes. Our study has shown that patients in cluster one are older females, unemployed, with more comorbidities, and depressive disorders, but received fewer ECT sessions. This study provides important information for clinicians to identify strategies to promote the use of ECT on its effectiveness and safety issues for each group.
ABSTRACT
ABSTRACT: This cross-sectional study examined the factors associated with depression among people with chronic pain (PwCP) attending specialized pain clinics in Muscat, Oman. Two-hundred eighty-seven participants were recruited for the study, and univariate analyses were used to investigate the difference between individuals who scored above/below the cutoff points for depressive symptoms. A multiple regression analysis was used to detect the independent predictors. Twenty-six percent of participants scored above the cutoff point. Further analysis indicated that unstable family relationships pre-existing depressive symptoms (odds ratio [OR], 2.86; p = 0.044), a family history of depression (OR, 4.75; p = 0.019), severe pain (OR, 4.21; p < 0.006), having fibromyalgia (OR, 28.29; p = 0.005), and lumbago/truck (OR, 2.41; p = 0.039) were independent predictors of depressive symptoms. This study indicates that one in four patients with chronic pain also presents with depressive symptoms. However, the role of culture needs to be taken into consideration when interpreting these findings and when building on these data.
