Neuropsychiatric symptoms in the psychiatric counseling of patients admitted with COVID-19 infection

BACKGROUND

Covid-19 patients suffer from psychiatric disorders too. The present study was designed to investigate the rate of psychiatric consultation requests in a general hospital. Reasons for consultation requests, types of psychiatric diagnoses, and factors in consultation requests were also investigated.

METHODS

This cross-sectional study included all patients admitted with Covid-19 and referred to psychiatric consultation service in a major Covid-19 center in Tehran, Iran (2020). After acceing patients' electronic files, records of patients' demographic information, positive psychiatric symptoms, past psychiatric history and DSM5 diagnoses were made. Statistical analyses were done in SPSS 26 using descriptive statistics and chi-square and Fisher's exact test (p<0.05).

RESULTS

Out of 1791 Covid-19 hospitalized patients, 132 patients (7.3%) had been referred to psychiatric consultation service. The most common reason for requests were restlessness and aggression (23.5%). Meanwhile, 92.4% of the patients were diagnosed to suffer from at least one psychiatric disorder including insomnia (64%), delirium (30.3%), anxiety due to hypoxia (15.3%) and generalized anxiety disorder (10.6%).

CONCLUSION

Although studies report a high prevalence of psychiatric disorders in Covid-19 patients, requests for psychiatric consultations and consideration of psychiatric disorders are still remarkably low. The most common disorders appeared to be insomnia, delirium and anxiety.

Prevalence of Psychiatric Diagnoses and Psychiatric Consultation Service Utilization on Inpatient Medical Units

OBJECTIVE

This practice improvement project sought to determine the prevalence of psychiatric diagnoses among patients admitted to a community hospital's inpatient medical units and which diagnoses were serviced by the hospital's psychiatric consultation service.

METHOD

Electronic medical record data on adult patients of five medical units admitted with a psychiatric condition between October 1, 2019, and December 31, 2019, were used. Psychiatric ICD-10 (International Classification of Diseases, 10th Revision) codes and diagnosis names extracted were categorized into seven major diagnostic groups. A total of 687 adult patients with 82 psychiatric ICD-10 codes were analyzed using descriptive statistics.

RESULTS

Substance-related and addictive disorders were the most prevalent psychiatric diagnoses. Ninety-six percent (n = 658) of patients residing on medical floors with psychiatric disorders were hospitalized for a principal medical problem. Seventy-three cases received psychiatric consultations during their stay. Sixty percent (n = 44) of those cases had psychiatric disorders from two or more diagnostic categories.

CONCLUSIONS

Multidisciplinary, team-based health care delivery models that include a psychiatric nurse can provide an effective approach to treat patients in community hospitals with multiple psychiatric and medical comorbidities. Hospitals could take a significant role in providing substance use disorder treatment and equipping medical nurses with training to competently care for patients with psychiatric disorders on medical units. Further research into the prevalence and impact of patients with co-occurring and multiple psychiatric diagnoses in community hospitals is needed to implement effective health care delivery models and provide appropriate treatment options in the community.