BMC Psychiatry,2023年
Alain Favina, Joan Abaatyo, Mark Mohan Kaggwa, Steven Elijah Bulega
LicenseType:CC BY |
BackgroundSuicidal behaviors are prevalent among inpatients with severe mental conditions and may result in many dying by suicide. Few studies have focused on the burden of suicidal behaviors among these inpatients in low-income settings, despite suicide being consistently higher in lower-income countries such as Uganda. This study, therefore, provides the prevalence and associated factors of suicidal behaviors and suicide attempts among inpatients with severe mental conditions in Uganda.MethodThis was a retrospective chart review of all individuals admitted with severe mental conditions to a large psychiatry inpatient unit in Uganda for four years (2018–2021). Two separate logistic regressions were conducted to determine the factors associated with suicidal behaviors or suicidal attempts among the admitted individuals.ResultsThe prevalence of suicidal behavior and suicidal attempts among 3104 (mean age = 33, Standard deviation [SD] = 14.0; 56% were males) were 6.12% and 3.45%, respectively. Having a diagnosis of depression increased the likelihood of both suicidal behaviors (adjusted odds ratio [aOR]: 5.36; 95% confidence interval [CI]: 2.14–13.37; p =0.001) and attempts (aOR: 10.73; 95% CI: 3.44–33.50; p < 0.001). However, a diagnosis of substance-related disorder increased the likelihood of having attempted suicide (aOR: 4.14; 95% CI: 1.21–14.15; p = 0.023). The likelihood of having suicidal behavior decreased as one increased in age (aOR: 0.97; 95% CI: 0.94–0.99; p = 0.006) and increased among individuals reporting stress from financial constraints (aOR: 2.26; 95% CI: 1.05–4.86; p = 0.036).ConclusionSuicidal behaviors are common among inpatients managed for severe mental health conditions in Uganda, especially those with substance use and depressive disorders. In addition, financial stressors are a main predictor in this low-income country. Therefore, regular screening for suicide behaviors is warranted, especially among individuals with depression, and substance use, among those who are young, and among those reporting financial constraints/stress.
BMC Psychiatry,2023年
Andrew T. Olagunju, Alain Favina, Joan Abaatyo, Mark Mohan Kaggwa
LicenseType:CC BY |
BackgroundBipolar affective disorder (BAD) is a common severe mental health condition with a relapsing course that may include periods of hospital re-admissions. With recurrent relapses and admissions, the course, prognosis, and patient’s overall quality of life can be affected negatively. This study aims to explore the rates and clinical factors associated with re-admission among individuals with BAD.MethodThis study used data from a retrospective chart review of all records of patients with BAD admitted in 2018 and followed up their hospital records for four years till 2021 at a large psychiatric unit in Uganda. Cox regression analysis was used to determine the clinical characteristics associated with readmission among patients diagnosed with BAD.ResultsA total of 206 patients living with BAD were admitted in 2018 and followed up for four years. The average number of months to readmission was 9.4 (standard deviation = 8.6). The incidence of readmission was 23.8% (n = 49/206). Of those readmitted during the study period, 46.9% (n = 23/49) and 28.6% (n = 14/49) individuals were readmitted twice and three times or more, respectively. The readmission rate in the first 12 months following discharge was 69.4% (n = 34/49) at first readmission, 78.3% (n = 18/23) at second readmission, and 87.5% (n = 12/14) at third or more times. For the next 12 months, the readmission rate was 22.5% (n = 11/49) for the first, 21.7% (n = 5/23) for the second, and 7.1% (n = 1/14) for more than two readmissions. Between 25 and 36 months, the readmission rate was 4.1% (n = 2/49) for the first readmission and 7.1% (n = 1/14) for the third or more times. Between 37 and 48 months, the readmission rate was 4.1% (n = 2/49) for those readmitted the first time. Patients who presented with poor appetite and undressed in public before admission were at increased risk of being readmitted with time. However, the following symptoms/clinical presentations, were protective against having a readmission with time, increased number of days with symptoms before admission, mood lability, and high energy levels.ConclusionThe incidence of readmission among individuals living with BAD is high, and readmission was associated with patients’ symptoms presentation on previous admission. Future studies looking at BAD using a prospective design, standardized scales, and robust explanatory model are warranted to understand causal factors for hospital re-admission and inform management strategies.
BMC Psychiatry,2023年
Alain Favina, Joan Abaatyo, Mark Mohan Kaggwa
LicenseType:CC BY |
BackgroundHospitalization is often necessary for individuals with Bipolar affective Disorder (BAD) during severe manic or depressive episodes, as well as for stabilizing treatment regimens. However, a significant proportion of patients admitted for treatment of BAD abscond or leave the hospital without permission during their stay. In addition, patients managed for BAD may have unique characteristics that might force them into absconding. For example, the high prevalence of co-morbid substance use disorder – craving to use substances, suicidal behaviors – attempts to die by suicide, and cluster B personality disorders – characterized by impulsive acts. It is, therefore, essential to understand the factors contributing to absconding among patients with BAD, to facilitate designing strategies for preventing and managing this behavior.MethodThis study was based on a retrospective chart review of the inpatients diagnosed with BAD at a tertiary psychiatry facility in Uganda from January 2018 to December 2021.ResultsApproximately 7.8% of those with BAD absconded from the hospital. The likelihood of absconding among those with BAD increased with the use of cannabis [adjusted odds ratio (aOR) = 4.00, 95% confidence interval (CI) = 1.22–13.09, p-value = 0.022] and having mood lability [aOR = 2.15, 95% CI = 1.10–4.21, p-value = 0.025]. However, receiving psychotherapy during the admission (aOR = 0.44, 95 CI = 0.26–0.74, p-value = 0.002) and treatment with haloperidol (aOR = 0.39, 95% CI = 0.18–0.83, p-value = 0.014) reduced the likelihood of absconding.ConclusionAbsconding among patients with BAD is common in Uganda. Those with symptoms of affective lability and those with comorbid cannabis use tend to abscond more, while those who receive haloperidol and psychotherapy are less likely to abscond.
BMC Psychiatry,2023年
Mohammed A. Mamun, Novatus Nyemara, Scholastic Ashaba, Mark Mohan Kaggwa, Sarah Maria Najjuka, Mark D. Griffiths
LicenseType:CC BY |
BMC Psychiatry,2023年
Mahmudul Hasan, David Gozal, Shalini Quadros, Mark Mohan Kaggwa, Mahfuza Mubarak, Md. Tajuddin Sikder, Mst. Sabrina Moonajilin, Md. Shakhaoat Hossain, Mohammed A. Mamun, Firoj Al-Mamun, Mohammad Muhit
LicenseType:CC BY |
预览
| 原文链接
| 全文
[ 浏览:0
下载:173
]
AimThis study aims to assess the prevalence and associated factors of depression among diabetic patients in a cross-sectional sample and perform a systematic review and meta-analysis of the extant studies to date.MethodsA face-to-face semi-structured interview of established diabetic patients was conducted in four districts of Bangladesh between May 24 to June 24, 2022, and the Patient Health Questionnaire (PHQ–2) was used to detect depression. PRISMA guidelines were followed to conduct a systematic review and meta-analysis, with Bangladeshi articles published until 3rd February 2023.ResultsThe prevalence of depression among 390 diabetic patients was 25.9%. Having secondary education and using both insulin and medication increased the likelihood of depression, whereas being a business professional and being physically active reduced the likelihood of depression. The systematic review and meta-analysis indicated that the pooled estimated prevalence of depression was 42% (95% CI 32–52%). Females had a 1.12-times higher risk of depression than males (OR = 1.12, 95% CI: 0.99 to 1.25, p < 0.001).ConclusionsTwo-fifths of diabetic patients were depressed, with females at higher risk. Since depression among diabetic patients increases adverse outcomes, improved awareness and screening methods should be implemented to detect and treat depression in diabetic patients.