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Journal of Research in Medical Sciences، جلد ۱۸، شماره ۹، صفحات ۷۸۲-۰
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عنوان انگلیسی Cost prediction of antipsychotic medication of psychiatric disorder using artificial neural network model
چکیده انگلیسی مقاله Normal 0 false false false EN-US X-NONE AR-SA MicrosoftInternetExplorer4 Background: Antipsychotic monotherapy or polypharmacy (concurrent use of two or more antipsychotics) are used for treating patients with psychiatric disorders (PDs). Usually, antipsychotic monotherapy has a lower cost than polypharmacy. This study aimed to predict the cost of antipsychotic medications (AM) of psychiatric patients in Iran. Materials and Methods: For this purpose, 790 patients with PDs who were discharged between June and September 2010 were selected from Razi Psychiatric Hospital, Tehran, Iran. For cost prediction of AM of PD, neural network (NN) and multiple linear regression (MLR) models were used. Analysis of data was performed with R 2.15.1 software. Results: Mean ± standard deviation (SD) of the duration of hospitalization (days) in patients who were on monotherapy and polypharmacy was 31.19 ± 15.55 and 36.69 ± 15.93, respectively ( P < 0.001). Mean and median costs of medication for monotherapy ( n = 507) were $8.25 and $6.23 and for polypharmacy ( n =192) were $13.30 and $9.48, respectively ( P = 0.001). The important variables for cost prediction of AM were duration of hospitalization, type of treatment, and type of psychiatric ward in the MLR model, and duration of hospitalization, type of diagnosed disorder, type of treatment, age, Chlorpromazine dosage, and duration of disorder in the NN model. Conclusion: Our findings showed that the artificial NN (ANN) model can be used as a flexible model for cost prediction of AM.
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نویسندگان مقاله دکتر آرش میراب زاده | arash mirabzadeh
department of psychiatric, social determinants of health research center, university of social welfare and rehabilitation sciences uswrs , tehran, iran

سازمان اصلی تایید شده: دانشگاه علوم بهزیستی و توانبخشی (University of social welfare and rehabilitation sciences)

عنایت الله بخشی | enayatollah bakhshi
department of biostatistics, university of social welfare and rehabilitation sciences uswrs , tehran, iran

سازمان اصلی تایید شده: دانشگاه علوم بهزیستی و توانبخشی (University of social welfare and rehabilitation sciences)

محمد رضا خدایی | mohamad reza khodae
department of psychiatric, university of social welfare and rehabilitation sciences uswrs , tehran, iran

سازمان اصلی تایید شده: دانشگاه علوم بهزیستی و توانبخشی (University of social welfare and rehabilitation sciences)

محمد رضا کوشش | mohamad reza kooshesh
master of sciences of psychology, pediatric neurorehabilitation research center, university of social welfare and rehabilitation sciences uswrs , tehran, iran

سازمان اصلی تایید شده: دانشگاه علوم بهزیستی و توانبخشی (University of social welfare and rehabilitation sciences)

بی بی ریاحی مهابادی | bibi riahi mahabadi
master of sciences of psychology, family clinic, shahid beheshti university of medical sciences and health services, tehran, iran

سازمان اصلی تایید شده: دانشگاه علوم پزشکی شهید بهشتی (Shahid beheshti university of medical sciences)

حسین میراب زاده | hossein mirabzadeh
master of industrial psychology, tehran, iran


اکبر بیگلریان | akbar biglarian
department of biostatistics, university of social welfare and rehabilitation sciences uswrs , tehran, iran

سازمان اصلی تایید شده: دانشگاه علوم بهزیستی و توانبخشی (University of social welfare and rehabilitation sciences)

نشانی اینترنتی http://jrms.mui.ac.ir/index.php/jrms/article/view/9473
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زبان مقاله منتشر شده en
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نوع مقاله منتشر شده Original Articles
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