Dataset Information

The magnitude and correlates of common mental disorder among outpatient medical patients in Ethiopia: an institution based cross-sectional study.

ABSTRACT:

Objective

Common mental disorder has a high prevalence in the general population worldwide. One in four patients visiting any health services has at least one mental disorders and negatively impacts quality of life, physical wellbeing, poor level of functioning, and poor medication adherence. However, research into common mental illness and associated factors among people with outpatient medical patients in low and meddle-income countries is limited. Therefore, this study aimed to explore common mental disorder and associated factors among persons with outpatient medical illness in Ethiopia.

Result

The prevalence of common mental disorder was found to be 39.2% with [95% CI 34.2%, 44.1%]. In the multivariate logistic regression, female sex [AOR: 2.03, 95% CI 1.28, 3.22], poor social support [AOR: 3.56 (95% CI 2.21, 5.73)], Diabetes mellitus [AOR: 5.25, 95% CI 2.35, 11.73], and substance use [AOR: 1.93, 95% CI 1.23, 3.04] were factors significantly associated with common mental disorder.

SUBMITTER: Denur M

PROVIDER: S-EPMC6593598 | biostudies-literature | 2019 Jun

REPOSITORIES: biostudies-literature

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Publications

The magnitude and correlates of common mental disorder among outpatient medical patients in Ethiopia: an institution based cross-sectional study.

Denur Mehbub M Tesfaw Getachew G Yohannis Zegeye Z

BMC research notes 20190625 1

<h4>Objective</h4>Common mental disorder has a high prevalence in the general population worldwide. One in four patients visiting any health services has at least one mental disorders and negatively impacts quality of life, physical wellbeing, poor level of functioning, and poor medication adherence. However, research into common mental illness and associated factors among people with outpatient medical patients in low and meddle-income countries is limited. Therefore, this study aimed to explor ...[more]

PMID: 31238959

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Project description:ObjectiveThis study aimed to investigate the magnitude, pattern and associated factors of multimorbidity in Bahir Dar, northwest Ethiopia.MethodsA multi-centered facility-based study was conducted among 1440 participants aged 40+ years attending chronic outpatient medical care. Two complementary methods (interview and review of medical records) were employed to collect data on socio-demographic, behavioral and disease related characteristics. The data were analyzed by STATA V.16 and R Software V.4.1.0. We fitted logistic regression and latent class analyses (LCA) models to identify the factors associated with multimorbidity and determine patterns of disease clustering, respectively. Statistical significance was considered at P-value <0.05.ResultsThe magnitude of individual chronic conditions ranged from 1.4% (cancer) to 37.9% (hypertension), and multimorbidity was identified in 54.8% (95% CI = 52.2%-57.4%) of the sample. The likelihood of having multimorbidity was higher among participants aged 45-54 years (AOR: 1.6, 95%CI = 1.1, 2.2), 55-64 years (AOR: 2.6, 95%CI = 1.9, 3.6) and 65+ years (AOR: 2.6, 95%CI = 1.9, 3.6) compared to those aged 40-44 years. The odds of multimorbidity was also higher among individuals classified as overweight (AOR: 1.6, 95%CI = 1.2, 2.1) or obese (AOR: 1.9, 95%CI = 1.3, 3.0) than the normal weight category. Four patterns of multimorbidity were identified; the cardiovascular category being the largest class (50.2%) followed by the cardio-mental, (32.6%), metabolic (11.5%) and respiratory (5.7%) groups. Advanced age, being overweight and obesity predicted latent class membership, adjusting for relevant confounding factors.ConclusionsThe magnitude of multimorbidity in this study was high, and the most prevalent conditions shaped the patterns of multimorbidity. Advanced age, being overweight and obesity were the factors correlated with multimorbidity. Further research is required to better understand the burden of multimorbidity and related factors in the population, and to determine the impact of multimorbidity on individuals' well-being and functioning.

Project description:Background:Epilepsy is a chronic neurological condition that is highly predisposed to a variety of mental health problems due to its huge biological, social and psychological burdens. Despite this, there is a paucity of research in this area. Therefore, assessing common mental disorders and its determinants among epileptic patients would be of great importance. Objective:This study was aimed to asses prevalence and associated factors of common mental disorders among people with epilepsy attending Felegehiwot Referral Hospital, Bahirdar, Ethiopia, 2019. Methods:Institutional based analytic cross-sectional study design was utilized from January to February 2019 at Felegehiwot Referral Hospital among 422 epileptic patients who were diagnosed clinically and on follow up treatment. Systematic random sampling was applied to recruit participants. Interviewer based and pretested Self Reporting Questionnaire-20 was used to screen common mental illness with a cut-off point 7 and above as having a common mental disorder. Bivariate and multivariable logistic regression analysis with 95% CI were computed and variables with p?<?0.05 in the final model were considered as associated factors for common mental disorders. Result:Four hundred twenty-two patients with epilepsy were included in our study with a response rate of 100% and 64.5% were males. The mean age of participants was 59?±?13.37 years. Common mental disorder among epileptic patients was found to be 35.8%. There was a statistically significant association between marital status, comorbid medical illness, nicotine dependence, alcohol misuse, and medication non-adherence with common mental disorders at p?<?0.05. Conclusion:The prevalence of common mental distress was high (35.8%) suggesting that it is a public health issue. Marital status, comorbid medical illness, nicotine dependence, alcohol misuse, and medication non-adherence were the factors having an association with a common mental disorder. Therefore, early screening and recognition of mental distress symptoms should be a routine activity while managing epileptic patients.

Dataset Information

The magnitude and correlates of common mental disorder among outpatient medical patients in Ethiopia: an institution based cross-sectional study.

Objective

Result

Publications

The magnitude and correlates of common mental disorder among outpatient medical patients in Ethiopia: an institution based cross-sectional study.

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