Abstract:

Aim: Consultation-liaison psychiatry (CLP) data of Kahta district of Adiyaman has not been investigated before. In this study, we aimed to examine the psychiatry consultations for inpatients and outpatients from the departments other than the emergency department. Material and Method: Through the patient registration system, consultation requests between 01.06.2019-01.06.2020 were examined retrospectively. Sociodemographic data such as age, gender, the name of the department requesting consultation, diagnosis of the main hospitalization in these departments, and the psychiatric diagnosis were obtained. Results: The total number of patients was 407. The mean age of females was 50.50±22.96 (years), the mean age of males was 55.10±24.23 (years). There were 158 consultations (38.8%) of internal diseases, 59 (14.5%) of cardiology, and 33 (8.1%) of anesthesiology and reanimation. The main diagnoses in the department where they were hospitalized were as follows: General condition disorder (11.3%), general medical examinations (8.8%), and chest problems (8.1%). The most common causes of the consultation were anxiety (26.0%), agitation (20.9%), and insomnia (13.5). Psychiatric diagnoses were as follows: Anxiety disorder (31.2%), depressive seizure (19.7%), delirium (18.4%), and panic disorder (10.6%). There was a significant difference in terms of causes of consultation (p=0.018) and psychiatric diagnoses (p<0.001) by gender. Two hundred seventy (66.3%, 137 females, 133 males) of the consulted patients had used psychotropic drugs at least once in the past. The psychotropic medication was prescribed to 342 (84%, 173 females, 169 males) patients after the evaluation of consultation. The consultation requests were the lowest in the spring of 2020. Conclusion: This study is the first study in which the psychiatric consultation request characteristics of Kahta district are examined. It is aimed to guide the planning to be made in the psychiatry department and to compare it with other regions and provinces. It is also important in that it shows that COVID-19 affects CLP data.

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