Dataset Information

Misdiagnosis, detection rate, and associated factors of severe psychiatric disorders in specialized psychiatry centers in Ethiopia.

ABSTRACT:

Background

There are limited studies on the prevalence of misdiagnosis as well as detection rates of severe psychiatric disorders in specialized and non-specialized healthcare settings. To the best of our knowledge, this is the first study to determine the prevalence of misdiagnosis and detection rates of severe psychiatric disorders including schizophrenia, schizoaffective, bipolar, and depressive disorders in a specialized psychiatric setting.

Method

In this cross-sectional study, a random sample of 309 patients with severe psychiatric disorders was selected by systematic sampling technique. Severe psychiatric disorders were assessed using the Structured Clinical Interview for DSM-IV (SCID). The potential determinates of misdiagnosis were explored using univariable and multivariable logistic regression models, adjusting for the potential confounding factors.

Result

This study revealed that more than a third of patients with severe psychiatric disorders were misdiagnosed (39.16%). The commonly misdiagnosed disorder was found to be a schizoaffective disorder (75%) followed by major depressive disorder (54.72%), schizophrenia (23.71%), and bipolar disorder (17.78%). Among the patients detected with the interview by SCID criteria, the highest level of the correct diagnosis was recorded in the medical record for schizophrenia (76.29%) followed by bipolar (72.22%), depressive (42.40%), and schizoaffective (25%) disorders with detection rate (sensitivity) of 0.76 (95% CI 0.69-0.84), 0.42 (95% CI 0.32-0.53), 0.72 (95% CI 0.60-0.84), and 0.25 (95% CI 0.09-0.41), respectively for schizophrenia, depressive, bipolar, and schizoaffective disorders. Patients with bipolar disorder were more likely to be misdiagnosed as having schizophrenia (60%), whereas schizophrenic patients were more likely to be misdiagnosed as having bipolar disorder (56.25%) and patients with depressive disorders were more likely to be misdiagnosed as having schizophrenia (54.72%). Having a diagnosis of schizoaffective and depressive disorders, as well as suicidal ideation, was found to be significant predictors of misdiagnosis.

Conclusion

This study showed that roughly four out of ten patients with severe psychiatric disorders had been misdiagnosed in a specialized psychiatric setting in Ethiopia. The highest rate of misdiagnosis was observed for schizoaffective disorder (3 out of 4), followed by major depressive disorder (1 out of 2), schizophrenia (1 out of 4), and bipolar disorders (1 in 5). The detection rates were highest for schizophrenia, followed by bipolar, depressive, and schizoaffective disorders. Having a diagnosis of schizoaffective and depressive disorders as well as suicidal ideation was found to be significant predictors of misdiagnosis.

SUBMITTER: Ayano G

PROVIDER: S-EPMC7856725 | biostudies-literature | 2021 Feb

REPOSITORIES: biostudies-literature

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Publications

Misdiagnosis, detection rate, and associated factors of severe psychiatric disorders in specialized psychiatry centers in Ethiopia.

Ayano Getinet G Demelash Sileshi S Yohannes Zegeye Z Haile Kibrom K Tulu Mikiyas M Assefa Dawit D Tesfaye Abel A Haile Kelemua K Solomon Melat M Chaka Asrat A Tsegay Light L

Annals of general psychiatry 20210202 1

<h4>Background</h4>There are limited studies on the prevalence of misdiagnosis as well as detection rates of severe psychiatric disorders in specialized and non-specialized healthcare settings. To the best of our knowledge, this is the first study to determine the prevalence of misdiagnosis and detection rates of severe psychiatric disorders including schizophrenia, schizoaffective, bipolar, and depressive disorders in a specialized psychiatric setting.<h4>Method</h4>In this cross-sectional stud ...[more]

PMID: 33531016

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Project description:BackgroundEvidence on treatment practice, discharge outcomes, and associated factors in patients with psychiatric disorders are rarely discussed in Ethiopia. Results from the available studies are also seldom consistent and miss important factors, including treatment-related variables. Therefore, this study intended to describe management practice and discharge outcome among adult psychiatric patients admitted to psychiatry wards of selected specialized settings in Ethiopia. By pointing out associated factors, this study will also provide insight on targets to improve discharge outcomes.Patients and methodsA cross-sectional study was conducted involving 278 adult psychiatry patients admitted to the psychiatry wards of Jimma Medical Center and St. Amanuel Mental Specialized Hospital in the study period from December 2021 to June 2022. The data was analyzed using STATA V.16. Descriptive statistics and logistic regression analysis were performed to present patient characteristics and identify factors associated with discharge outcome, respectively. In all the analysis, p value < 0.05 was used to declare statistical significance.ResultsSchizophrenia (125, 44.96%) and bipolar disorders (98, 35.25%) were the top two psychiatric disorders diagnosed at admission. A greater share of patients with schizophrenia were treated with the combination of diazepam, haloperidol, and risperidone than with diazepam and risperidone, 14 (5.04%) each. Patients with bipolar disorder were being treated primarily with the combination of diazepam, risperidone, and sodium valproate, or risperidone and sodium valproate, 14 (5.04%) each. Overall, 232 (83.4%) patients were on psychiatric polypharmacy. In this study, 29 (10.43%) patients were discharged unimproved, and this risk was significantly higher in those patients with a khat chewing habit (AOR = 3.59, 95% CI = 1.21-10.65, P = 0.021) than non-chewers.ConclusionPsychiatric polypharmacy was found to be a common treatment approach in patients with psychiatric disorders. In the study, a little more than one-tenth of patients with psychiatric disorders were discharged without improvement. Hence, interventions targeting risk factors, especially khat use, should be undertaken to improve discharge outcomes in this population.

Project description:BackgroundThere is a paucity of research on the prevalence of diagnosed as well as undiagnosed neurological disorders with episodic manifestations such as epilepsy and migraine headaches in people with severe psychiatric disorders (SPD). To the best of our knowledge, this is the first study analyzing and comparing the prevalence of diagnosed and undiagnosed chronic neurological disorders with episodic manifestations including epilepsy and migraine headache in people with SPD.MethodThis quantitative cross-sectional survey was undertaken among 309 patients with SPD selected by a systematic random sampling technique. The Structured Clinical Interview for DSM-IV Axis I Disorders (SCID) was used to confirm SPD among the participants. The International Classification of Headache Disorders (ICHD-3) and International League Against Epilepsy (ILAE) were used to define migraine headache and epilepsy, respectively]. Risk factors for chronic neurologic disorders were explored by using logistic regression models.ResultIn this study, the prevalence of overall neurological disorders, epilepsy, and migraine headache among people with SPD were found to be 5.2% (95%CI 3.2-8.3), 1.6% (95%CI 0.7-3.9), and 3.9% (95%CI 2.2-6.7), respectively. We found that a considerably higher proportion of people with SPD had undiagnosed overall neurological disorder (87.5%; 14/16), epilepsy (60%; 3/5), as well as migraine headaches (100%; 12/12). On the other hand, in this study, 12.5%, 40%, and 0% of patients with overall neurologic disorder, epilepsy, and migraine headaches respectively were diagnosed by the professionals. Higher disability score (WHODAS score) was associated with increased odds of having neurological disorders compared with the lower WHODAS score [OR = 1.30 (95% CI 1.02-1.66)].ConclusionWhilst the prevalence estimates of neurological disorders with episodic manifestations including epilepsy and migraine headache was high among people with SPD, the vast majority of them remained undiagnosed. The diagnosis rates of those disorders were significantly low, perhaps surprisingly zero for migraine headache. High WHODAS score was associated with increased odds of having neurological disorders. Routine screening and management of epilepsy and migraine headache are imperative among people with SPD.

Project description:IntroductionPsychiatric disorders are common and significantly impact the quality of life. Inflammatory processes are proposed to contribute to the emergence of psychiatric disorders. In addition to inflammation, disturbances in metabolic pathways have been observed in individuals with different psychiatric disorders. A suggested key player in the interaction between inflammation and metabolism is the Nod-like receptor 3 (NLRP3) inflammasome, and NLRP3 is known to react to a number of specific metabolites. However, little is known about the interplay between these immunometabolites and the NLRP3 inflammasome in mental health disorders.AimTo assess the interplay between immunometabolites and inflammasome function in a transdiagnostic cohort of individuals with severe mental disorders.MethodsMass spectrometry-based analysis of selected immunometabolites, previously known to affect inflammasome function, were performed in plasma from low-functioning individuals with severe mental disorders (n = 39) and sex and aged-matched healthy controls (n = 39) using a transdiagnostic approach. Mann Whitney U test was used to test differences in immunometabolites between psychiatric patients and controls. To assess the relationship between inflammasome parameters, disease severity, and the immunometabolites, Spearman's rank-order correlation test was used. Conditional logistic regression was used to control for potential confounding variables. Principal component analysis was performed to explore immunometabolic patterns.ResultsAmong the selected immunometabolites (n = 9), serine, glutamine, and lactic acid were significantly higher in the patient group compared to the controls. After adjusting for confounders, the differences remained significant for all three immunometabolites. No significant correlations were found between immunometabolites and disease severity.ConclusionPrevious research on metabolic changes in mental disorders has not been conclusive. This study shows that severely ill patients have common metabolic perturbations. The changes in serine, glutamine, and lactic acid could constitute a direct contribution to the low-grade inflammation observed in severe psychiatric disorders.

Dataset Information

Misdiagnosis, detection rate, and associated factors of severe psychiatric disorders in specialized psychiatry centers in Ethiopia.

Background

Method

Result

Conclusion

Publications

Misdiagnosis, detection rate, and associated factors of severe psychiatric disorders in specialized psychiatry centers in Ethiopia.

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