Literature DB >> 33531016

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

Getinet Ayano1,2, Sileshi Demelash3, Zegeye Yohannes4, Kibrom Haile4, Mikiyas Tulu4, Dawit Assefa4, Abel Tesfaye4,5, Kelemua Haile4, Melat Solomon4, Asrat Chaka4, Light Tsegay6.   

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.

Entities:  

Keywords:  Bipolar disorder; Depressive disorder; Misdiagnosis; Schizoaffective disorder; Schizophrenia; Severe psychiatric disorder

Year:  2021        PMID: 33531016     DOI: 10.1186/s12991-021-00333-7

Source DB:  PubMed          Journal:  Ann Gen Psychiatry        ISSN: 1744-859X            Impact factor:   3.455


  38 in total

1.  Cross-national epidemiology of major depression and bipolar disorder.

Authors:  M M Weissman; R C Bland; G J Canino; C Faravelli; S Greenwald; H G Hwu; P R Joyce; E G Karam; C K Lee; J Lellouch; J P Lépine; S C Newman; M Rubio-Stipec; J E Wells; P J Wickramaratne; H Wittchen; E K Yeh
Journal:  JAMA       Date:  1996 Jul 24-31       Impact factor: 56.272

Review 2.  Bipolar disorder prevalence: a systematic review and meta-analysis of the literature.

Authors:  Adauto S Clemente; Breno S Diniz; Rodrigo Nicolato; Flavio P Kapczinski; Jair C Soares; Josélia O Firmo; Érico Castro-Costa
Journal:  Braz J Psychiatry       Date:  2015-05-01       Impact factor: 2.697

3.  Global mortality, disability, and the contribution of risk factors: Global Burden of Disease Study.

Authors:  C J Murray; A D Lopez
Journal:  Lancet       Date:  1997-05-17       Impact factor: 79.321

4.  Depressive symptoms in schizophrenia.

Authors:  S Zisook; L A McAdams; J Kuck; M J Harris; A Bailey; T L Patterson; L L Judd; D V Jeste
Journal:  Am J Psychiatry       Date:  1999-11       Impact factor: 18.112

5.  Prevalence, demographic and clinical features of comorbid depressive symptoms in drug naïve patients with schizophrenia presenting with first episode psychosis.

Authors:  Jing Dai; Xiangdong Du; Guangzhong Yin; Yingyang Zhang; Haishen Xia; Xiaosi Li; Rylan Cassidy; Qingchun Tong; Dachun Chen; Antonio Lucio Teixeira; Yingjun Zheng; Yuping Ning; Jair C Soares; Man-Xi He; Xiang Yang Zhang
Journal:  Schizophr Res       Date:  2017-06-23       Impact factor: 4.939

Review 6.  Prevalence and description of psychotic features in bipolar mania.

Authors:  E Dunayevich; P E Keck
Journal:  Curr Psychiatry Rep       Date:  2000-08       Impact factor: 5.285

Review 7.  Challenges in the treatment of major depressive disorder with psychotic features.

Authors:  Anthony J Rothschild
Journal:  Schizophr Bull       Date:  2013-04-18       Impact factor: 9.306

Review 8.  Global variation in the prevalence and incidence of major depressive disorder: a systematic review of the epidemiological literature.

Authors:  A J Ferrari; A J Somerville; A J Baxter; R Norman; S B Patten; T Vos; H A Whiteford
Journal:  Psychol Med       Date:  2012-07-25       Impact factor: 7.723

Review 9.  A systematic review of the prevalence of schizophrenia.

Authors:  Sukanta Saha; David Chant; Joy Welham; John McGrath
Journal:  PLoS Med       Date:  2005-05-31       Impact factor: 11.069

10.  The prevalence of schizophrenia and other psychotic disorders among homeless people: a systematic review and meta-analysis.

Authors:  Getinet Ayano; Getachew Tesfaw; Shegaye Shumet
Journal:  BMC Psychiatry       Date:  2019-11-27       Impact factor: 3.630

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  3 in total

Review 1.  War Psychiatry: Identifying and Managing the Neuropsychiatric Consequences of Armed Conflicts.

Authors:  Nityanand Jain; Sakshi Prasad; Zsófia Csenge Czárth; Swarali Yatin Chodnekar; Srinithi Mohan; Elena Savchenko; Deepkanwar Singh Panag; Andrei Tanasov; Marta Maria Betka; Emilia Platos; Dorota Świątek; Aleksandra Małgorzata Krygowska; Sofia Rozani; Mahek Srivastava; Kyriacos Evangelou; Kitija Lucija Gristina; Alina Bordeniuc; Amir Reza Akbari; Shivani Jain; Andrejs Kostiks; Aigars Reinis
Journal:  J Prim Care Community Health       Date:  2022 Jan-Dec

2.  Mapping the serum proteome to neurological diseases using whole genome sequencing.

Authors:  Grace Png; Andrei Barysenka; Linda Repetto; Pau Navarro; Xia Shen; Maik Pietzner; Eleanor Wheeler; Nicholas J Wareham; Claudia Langenberg; Emmanouil Tsafantakis; Maria Karaleftheri; George Dedoussis; Anders Mälarstig; James F Wilson; Arthur Gilly; Eleftheria Zeggini
Journal:  Nat Commun       Date:  2021-12-02       Impact factor: 14.919

3.  A Machine Learning Approach for Detecting Digital Behavioral Patterns of Depression Using Nonintrusive Smartphone Data (Complementary Path to Patient Health Questionnaire-9 Assessment): Prospective Observational Study.

Authors:  Soumya Choudhary; Nikita Thomas; Janine Ellenberger; Girish Srinivasan; Roy Cohen
Journal:  JMIR Form Res       Date:  2022-05-16
  3 in total

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