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1.
Asian J Psychiatr ; 75: 103200, 2022 Sep.
Article in English | MEDLINE | ID: mdl-35850062

ABSTRACT

AIMS: Schizophrenia is a major mental disorder with a wide range of psychiatric symptoms. This study explored the structure of psychiatric symptoms of schizophrenia using network analysis in a large representative Asian sample based on a survey of clinical features and treatment used in schizophrenia patients across 15 countries/territories in Asia. METHODS: Data on the demographic characteristics and psychiatric symptoms in schizophrenia patients were extracted from the dataset of the fourth Research on Asia Psychotropic Prescription for Antipsychotics (REAP-AP) project. The presence of the following psychiatric symptoms including delusions, hallucinations, disorganized speech, grossly disorganized or catatonic behavior, negative symptoms, social/occupational dysfunction, verbal aggression, physical aggression, and affective symptoms were analyzed. RESULTS: A total of 3681 patients were included. The network analysis revealed that verbal aggression, hallucinations, and social/occupational dysfunction were the most central symptoms, while the connections between social/occupational dysfunction and verbal aggression, and between hallucinations and disorganized speech were the two strongest edges. There were significant gender differences in the network structure based on the network structure invariance test (M=0.74, P = 0.03) and invariant edge strength test. The positive correlation between verbal aggression and hallucinations was significantly stronger in the female network than that in the male network (P = 0.03), while a negative correlation between affective symptoms and negative symptoms was found in the female, but not the male network (P < 0.01). CONCLUSION: Central symptoms including verbal aggression, hallucinations, and socio-occupational dysfunction should be addressed in developing targeted treatment strategy for schizophrenia patients.


Subject(s)
Antipsychotic Agents , Schizophrenia , Antipsychotic Agents/therapeutic use , Female , Hallucinations/drug therapy , Humans , Male , Prescriptions , Psychotropic Drugs/therapeutic use , Schizophrenia/drug therapy
2.
Asian J Psychiatr ; 45: 74-80, 2019 Oct.
Article in English | MEDLINE | ID: mdl-31520884

ABSTRACT

OBJECTIVE: Regular surveys are important to monitor the use of psychotropic medications in clinical practice. This study examined the psychotropic prescription patterns in adult Asian schizophrenia patients based on the data of the Research on Asian Psychotropic Prescription (REAP) 2016 survey. METHODS: This cross-sectional survey across 15 Asian countries/territories collected socio-demographic and clinical data with standardized procedures between March and May 2016. The socio-demographic and clinical characteristics of the patients were recorded with a standardized questionnaire. RESULTS: Altogether 3,537 adult patients with schizophrenia were consecutively screened and enrolled in the survey. The mean age was 38.66 ±â€¯11.55 years and 59.7% of the sample were male. The mean dose of antipsychotics in chlorpromazine equivalents (CPZeq) was 424 ±â€¯376 mg/day; 31.3% and 80.8% received first- and second- generation antipsychotics, respectively and 42.6% had antipsychotic polypharmacy, 11.7% had antidepressants, 13.7% had mood stabilizers, 27.8% had benzodiazepines, and 45.6% had anticholinergics. CONCLUSIONS: Psychotropic prescription patterns in Asian adult patients with schizophrenia varied across countries. Regular surveys on psychotropic medications for schizophrenia are important to monitor pharmacotherapy practice in Asia.


Subject(s)
Antipsychotic Agents/therapeutic use , Practice Patterns, Physicians'/statistics & numerical data , Schizophrenia/drug therapy , Adult , Antidepressive Agents/therapeutic use , Asia , Benzodiazepines/therapeutic use , Cholinergic Antagonists/therapeutic use , Cross-Sectional Studies , Drug Prescriptions/statistics & numerical data , Female , Health Surveys , Humans , Male
3.
Psychiatry Clin Neurosci ; 72(8): 572-579, 2018 Aug.
Article in English | MEDLINE | ID: mdl-29761577

ABSTRACT

AIM: The aim of the present study was to survey the prevalence of antipsychotic polypharmacy and combined medication use across 15 Asian countries and areas in 2016. METHODS: By using the results from the fourth survey of Research on Asian Prescription Patterns on antipsychotics, the rates of polypharmacy and combined medication use in each country were analyzed. Daily medications prescribed for the treatment of inpatients or outpatients with schizophrenia, including antipsychotics, mood stabilizers, anxiolytics, hypnotics, and antiparkinson agents, were collected. Fifteen countries from Asia participated in this study. RESULTS: A total of 3744 patients' prescription forms were examined. The prescription patterns differed across these Asian countries, with the highest rate of polypharmacy noted in Vietnam (59.1%) and the lowest in Myanmar (22.0%). Furthermore, the combined use of other medications, expressed as highest and lowest rate, respectively, was as follows: mood stabilizers, China (35.0%) and Bangladesh (1.0%); antidepressants, South Korea (36.6%) and Bangladesh (0%); anxiolytics, Pakistan (55.7%) and Myanmar (8.5%); hypnotics, Japan (61.1%) and, equally, Myanmar (0%) and Sri Lanka (0%); and antiparkinson agents, Bangladesh (87.9%) and Vietnam (10.9%). The average psychotropic drug loading of all patients was 2.01 ± 1.64, with the highest and lowest loadings noted in Japan (4.13 ± 3.13) and Indonesia (1.16 ± 0.68), respectively. CONCLUSION: Differences in psychiatrist training as well as the civil culture and health insurance system of each country may have contributed to the differences in these rates. The concept of drug loading can be applied to other medical fields.


Subject(s)
Drug Prescriptions/statistics & numerical data , Polypharmacy , Practice Patterns, Physicians'/statistics & numerical data , Psychotropic Drugs/therapeutic use , Schizophrenia/drug therapy , Adult , Asia , Female , Health Services Research , Humans , Male , Middle Aged , Young Adult
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