Pattern and Correlates of Prescribing Antipsychotics in a Leading Mental Hospital in Kenya
DOI: 10.4172/1522-4821.1000487
Abstract
Objectives: To describe the prescribing patterns and identify correlates of prescribing antipsychotic. Design: A hospital-based cross-sectional study. Setting: A leading mental hospital in Kenya. Subjects: Adult patients receiving care for psychiatric illnesses Outcome Measures: The patients’ sociodemographic profile and antipsychotic prescribing data were recorded and associations between the two were computed at P≤ 0.05. Results: The mean age of the participants was 36.7 (SD 13.4) years and a majority were males (64.7%). Most prescriptions contained first-generation antipsychotics (FGAs) (79.2%), and almost half (45.2%) had second-generation antipsychotics. Most patients (53.7%) used supramaximal doses, which was significantly associated with polypharmacy of FGAs (P<0.001). Prescribing more than one FGA significantly increased the odds of having a supramaximal dose by 18 times (P<0.001). Conclusion: Polypharmacy especially with FGAs and use of supramaximal doses was prevalent. Future studies should develop a scaled guideline that informs the clinical efficacy of various doses of chlorpromazine equivalents.
Keywords: Antipsychotics; Polypharmacy; FGAs; SGAs; CPZeq; Supramaximal
Introduction
An estimated 971 million persons globally were affected by mental disorders, according to a survey done in 2017, marking a 13.5% increase in number compared to 2007 (James et al., 2018). Mental illnesses have consistently formed more than 14% of the years lived with disability across the globe since 1990, with a prevalence greater than 14% 1 (James et al., 2018). Psychiatric disorders are among four of the top ten health conditions that contribute to the highest Disability Adjusted Life Years, hence a significant public health priority (Alam et al., 2015).
Prescribing practices of antipsychotics vary greatly across the globe. Prevalent practices include prolonged use of high dose treatment, polypharmacy, and the use of non-evidential treatment options that may augment the adverse effects for the patients, reduce patient’s adherence, causes unnecessary health care costs, increases morbidity and mortality, and reduces the quality of care (Van Der Meer (1981); Summoro et al., 2015)
Inappropriate prescribing is mainly attributed to lack of localized treatment algorithms for mental illnesses, lack of knowledge, skills, or information, overworking of health professionals, and the unrestricted availability of medications, especially in the low-and-middle-income countries (Abebaw et al. (2016). The mental healthcare system in Kenya further faces particular challenges, which include insufficient drug supply and low affordability, which influences the choice of antipsychotics prescribed. Additionally, inadequate human resources, lack of prioritization of mental health, stigma, traditional and religious beliefs, and insufficient training, especially in rural settings, (Ambikile & Iseselo (2017); Musyimi et al., 2017; Ndetei et al., 2008) affects the management practices.
Studies across the globe reveal a high rate of polypharmacy, with the UK having a prevalence of 48%, Europe 23%, Japan 90%, Oceania 16.4%, North America 16%, and 67.3% in Wales (Rajan & Clarke, 2013; Armstrong & Temmingh, 2017). In Sudan, most patients (94.8%) received a combination of first-generation antipsychotics (FGAs), second-generation antipsychotics (SGAs) and adjunctive medications. In a few countries like Oman, the rate of monotherapy was 93% (Al Za’abi et al., 2014). A study in India showed that polypharmacy was closely associated with supramaximal doses (Ramadas et al., 2010).
The rate of SGA use in some developed countries is relatively high ranging between 87% to 90%, and usage of FGAs in these countries is much lower, ranging from 7% to 23% (Van Kammen, 2001). In most African countries, the use of FGAs is relatively high, being 74% in South Africa and 93.9% in Sudan (Eloff et al., 2017). The usage of SGAs was low in South Africa (26%) but much higher in Sudan (83.7%) (Eloff et al., 2017).
In Canada use of polypharmacy was significantly associated with the duration of hospitalization and having a comorbid personality disorder (Farrell & Brink, 2020). However, similar to other studies, the age, the primary diagnosis, employment status, level of education, religion, the number of previous psychiatric admissions, and ethnicity were not associated with polypharmacy (Farrell & Brink, 2020).
Clinicians globally often prescribe high doses when patients show poor response to standard doses. Studies have attributed the use of high dose treatments to resistance, using antipsychotics for a longer duration of time, being diagnosed with bipolar disorder, having an anticholinergic prescribed, and polypharmacy (Adesola et al., 2013); (Lelliott et al., 2002); (Wilkie et al., 2001). A history of aggression and violence, the level of compliance to medication, the amount of social support by the caregiver, and other psychosocial factors could also influence the dose prescribed (Wilkie et al., 2001); Royal College of Psychiatrists (2006). A study from India determined that receiving a supramaximal dose was significantly associated with receiving a combination of a FGAs and SGAs. Contrary to other studies, a study done in Indian showed that the duration of illness does not influence the prescription of a high dose (Ramadas et al., 2010).
Studying the prescribing patterns provides an overview of the gaps in therapeutic trends and suggests modifications to make medical care rational, safe, and cost-effective. This study sought to describe the antipsychotic prescribing patterns in a leading tertiary psychiatric hospital. The study also endeavoured to determine the correlates of polypharmacy and the prescribing of supramaximal antipsychotic doses by clinicians.
Methods
Study Design and Site
A cross-sectional study was undertaken between August 2020 to October 2020 among adult psychiatric patients seeking treatment for various mental illnesses at Mathari National Teaching and Referral Hospital (MNTRH). This is the largest teaching and referral psychiatric facility in Kenya, with a bed capacity of 700. Study participants were recruited from the wards and the psychiatric outpatient clinics.
Ethical Approval
The study was approved by the Kenyatta National Hospital/University of Nairobi-Ethics and Research Committee (protocol number P185/03/2020). Permission was then granted by the Continuous Medical Education Director at MNTRH
All the potential participants underwent the entire consenting process before being voluntarily requested to sign the consent form.
Study Population
The study population consisted of both adult males and females who were mentally ill and seeking treatment at the hospital. The exclusion criteria were failure to consent to the study, having acute mental disturbance, and having incomplete sociodemographic or medical records.
Sample Size and Sampling Method
Cochran’s formula (13) was used to calculate a sample size of 151 based on the 10.8% estimated prevalence of mental illnesses in Kenya (Jenkins et al., 2012). An additional 10% of participants were added to address cases of non-responders, giving a target sample size of 167 participants that were sampled proportionally among the inpatients and outpatient units. A systematic random sampling method was used to recruit study participants in the study units.
Data Collection, Entry and Statistical Analysis
A predesigned questionnaire was used to collect raw data from the participants and medical files such as sociodemographic details, diagnosis, duration of mental illness, history of previous psychiatric admissions and antipsychotics prescribed at the time of the study.
The primary outcome variable was the dose of antipsychotics prescribed. According to the documented international consensus, each dose of antipsychotic can be converted into an equivalent dose of chlorpromazine. Therefore, each antipsychotic prescribed was converted into its recommended equivalent dose of chlorpromazine. For patients receiving more than one antipsychotic, each drug prescribed was converted into its chlorpromazine equivalents (CPZeq), and the total dose was summed up. All the raw data was fed into a worksheet in Microsoft Excel 2016 and exported to STATA version 14 for statistical analyses.
Chi-square tests were done to assess the association between the sociodemographic factors and patterns of antipsychotic prescriptions, such as the number of FGAs and SGAs prescribed as well as their doses. Logistic analysis was done using a backward elimination model to assess the independent correlates of prescribing a certain number of antipsychotics.
Results
Two hundred and forty-three participants were recruited, but only 167 participants met the inclusion criteria. The respondents’ sociodemographic and clinical characteristics are presented in Table I.
Table 1: Average Number of Drugs Prescribed per Person
Diagnosis | SZA | BMD | DIP | SAD | SZA/DIP | APY |
---|---|---|---|---|---|---|
Number of Patients | 56 | 28 | 27 | 16 | 12 | 9 |
Average Number of Antipsychotics | 1.7 | 1.6 | 1.8 | 1.6 | 1.7 | 1.9 |
Average Number of FGAs | 1.4 | 1 | 1.3 | 0.9 | 1.4 | 1.3 |
Average Number of SGAs | 0.3 | 0.6 | 0.4 | 0.6 | 0.3 | 0.6 |
Average Dose (CPZeqs) mg | 1021.0 ± 608.0 | 829.5 ± 548.8 | 965.7 ± 647.8 | 910.9 ± 702.4 | 900.0 ± 673.9 | 1038.9 ± 739.8 |
Average Number of Anticholinergics | 0.3 | 0.3 | 0.3 | 0.3 | 0.6 | 0.2 |
Average Number of Mood Stabilizers | 0.8 | 0.7 | 0.6 | 0.6 | 0.7 | 0.6 |
The majority of the participants were males (n =108, 64.7%). The mean age was 36.7±13.4 years, with a majority being within the 18 to 45 years age bracket (n=128, 76.6%). The mean body mass index (BMI) was 24.9 ± 4.5 kg/m2, with slightly less than half of the participants exceeding the ideal body weight (n=71, 42.5%). Majority of the participants (n=103, 61.6%) had a history of previous psychiatric admission, they were single (n=93, 55.7%), affiliated to Christianity (n=142, 85.0%), and unemployed (n= 108, 64.7%).
The majority of the participants were males (n =108, 64.7%). The mean age was 36.7±13.4 years, with a majority being within the 18 to 45 years age bracket (n=128, 76.6%). The mean body mass index (BMI) was 24.9 ± 4.5 kg/m2, with slightly less than half of the participants exceeding the ideal body weight (n=71, 42.5%). Majority of the participants (n=103, 61.6%) had a history of previous psychiatric admission, they were single (n=93, 55.7%), affiliated to Christianity (n=142, 85.0%), and unemployed (n= 108, 64.7%).
The average dose of antipsychotics prescribed was 1021.0mg of CPZeq per person. Patients who used standard doses (≤1000 mg of CPZeq) were 46.3% (n=76), while those who used supramaximal doses were 53.7% (n=88). Patients with bipolar disorder received the lowest dose of antipsychotics, 829.5 mg ± 548.8 mg of CPZeq.
Patients with schizoaffective disorders received the highest number of mood stabilizers (0.8 per person) as well as the highest number of FGAs (1.4 per person), as shown in Table I. Patients with schizophrenia were the least likely to receive SGAs, having the lowest average of 0.3 SGAs per person. However, they were more likely to receive FGAs, having the highest average of 1.4 FGAs per person. Patients diagnosed with a bipolar mood disorder, schizoaffective disorders, and acute psychosis received the highest number of SGAs (0.6 drugs per person).
Patients diagnosed with SZA/DIP received a relatively low dose of antipsychotics (900.0 ± 673.9mg CPZeq), but paradoxically this was accompanied by having the highest number of anticholinergics prescribed (0.3 per person). Those diagnosed with acute psychosis (n=9) received the highest number of antipsychotics (1.9 per person), which corresponded to having the highest average dose of antipsychotics per person (1038.9 ± 739.8mg of CPZeq). Unexpectedly, these participants received the lowest of anticholinergics (0.2 per person).
Among the 163 patients on antipsychotics, 77 (47.2%) received oral haloperidol, representing the most commonly used FGA. Fluphenazine decanoate injection was the most preferred intramuscular depot, administered to 42.3% (n=69) of the participants. The most preferred anticholinergic was trihexyphenidyl (benzhexol) oral formulation used on a pro re nata (as needed) basis. The most prescribed SGA was the oral formulation of olanzapine, which was issued to 25.2% of the patients (n=41). Risperidone was the second most preferred SGA, which was prescribed to 33 participants (20.2%). Some of the other injectable depots that were used included zuclopenthixol decanoate injection (n=15, 9.2%) and flupentixol decanoate (n=12, 7.4%).
There was a significantly higher chance of participants using a mood stabilizer to receive a relatively high dose of CPZeq (P = 0.001), as shown in Table I. Similarly, participants receiving a high dose of antipsychotics had a higher chance of being on an anticholinergic drug (P = 0.004). Those participants who had no comorbidity had a significantly higher chance of receiving a high dose of antipsychotics (P = 0.002).
There was a significantly higher chance of participants using a mood stabilizer to receive a relatively high dose of CPZeq (P = 0.001), as shown in Table I. Similarly, participants receiving a high dose of antipsychotics had a higher chance of being on an anticholinergic drug (P = 0.004). Those participants who had no comorbidity had a significantly higher chance of receiving a high dose of antipsychotics (P = 0.002).
Discussion
There was male predominance (64.7%) among the participants, showing that mental illnesses mostly affected males more than females. This was similar to other study done in Kenya (55.49%) and Sudan (57%), where the majority were male (Ndetei et al., 2008); Mohamed & Yousef, (2020); Katayi (2014). The rate of polypharmacy in this study was at 60%, almost similar to that in Qatar at 58.8% and Asia, where 45.7% had more than one antipsychotic Ouanes et al. (2020). A study in the USA had a polypharmacy rate of 57% (Faries et al., 2005), Japan 69% (Ito et al., 2005), while Korea had the lowest rate at 9.0% (James et al., 2018). Some studies support the use of polypharmacy, suggesting that combining drugs could reduce rehospitalisation (Maenner et al., 2014). Polypharmacy is applicable in exceptional instances such as during cross-titration of antipsychotics, augmenting the efficacy of clozapine, and when managing particular side-effects, and when rapid tranquilization is needed (Connolly & Taylor et al., 2014). However, there is no conclusive evidence for this practice, and clinical guidelines primarily emphasize monotherapy.
There was male predominance (64.7%) among the participants, showing that mental illnesses mostly affected males more than females. This was similar to other study done in Kenya (55.49%) and Sudan (57%), where the majority were male (Ndetei et al., 2008); Mohamed & Yousef, (2020); Katayi (2014). The rate of polypharmacy in this study was at 60%, almost similar to that in Qatar at 58.8% and Asia, where 45.7% had more than one antipsychotic Ouanes et al. (2020). A study in the USA had a polypharmacy rate of 57% (Faries et al., 2005), Japan 69% (Ito et al., 2005), while Korea had the lowest rate at 9.0% (James et al., 2018). Some studies support the use of polypharmacy, suggesting that combining drugs could reduce rehospitalisation (Maenner et al., 2014). Polypharmacy is applicable in exceptional instances such as during cross-titration of antipsychotics, augmenting the efficacy of clozapine, and when managing particular side-effects, and when rapid tranquilization is needed (Connolly & Taylor et al., 2014). However, there is no conclusive evidence for this practice, and clinical guidelines primarily emphasize monotherapy.
Despite the fact that SGAs are perceived to be much safer than the FGAs because they have a reduced risk of causing extrapyramidal side effects and adverse neurological effects, the rate of their use was relatively low at 45.2% compared to other countries such as Arab countries (95.6%), China (86.6%), Turkey (96.9%), Korea (93%), India (93.5%) and New Zealand (87.0%) (Van Kammen, 2001). The same difference was noticeable in the higher use of FGAs (79.2%) compared to other countries such as Arabian countries (23.4%), Turkey (17.2%), New Zealand (13.0%), India (33.81%) and Korea (7%) (Van Kammen, 2001). This may be explained by the exorbitant cost of and hence unavailability of SGAs in resource-limited settings such as Kenya.
Haloperidol was the most commonly used FGA, while fluphenazine was the most frequently used injectable formulation as observed in Sudan, Mohamed & Yousef, (2020) and Korea (James et al., 2018). Olanzapine was the most preferred SGA issued to 25% of the participants, followed by risperidone at 20%. Although both olanzapine and risperidone are well tolerated and efficacious, olanzapine has been consistently associated with a greater reduction in the severity of psychiatric illnesses, improvement of negative symptoms (James et al., 2018), and less extrapyramidal effects (Shoja Shafti & Gilanipoor, 2014) and perhaps the most preferred SGA among the participants.
The dose of CPZeq is a measure of whether a patient received a standard dose of antipsychotics (≤1000mg of CPZeq) or a higher than the recommended dose of antipsychotics (>1000mg of CPZeq, also known as a supramaximal dose). In most cases, the maximum effective dose of an individual drug was within the allowed limit; however, the cumulative dose, which was calculated by adding up all the antipsychotics prescribed per patient, was higher than the standard dose. The high prevalence of supramaximal doses could be attributed to the high rate of polypharmacy, especially with FGAs. Furthermore, the addition of an FGA to a prescription increased the odds of a patient receiving a supramaximal dose by 18 times (P < 0.001).
The high use of FGAs contributed to patients receiving a relatively high mean dose CPZeq of 930.4 ± 617.5mg. This is in contrast to other countries that had a much lower mean dose, such as Qatar with a mean CPZeq of 577.8mg, Korea 732.1mg (Kim et al., 2014), and Turkey 684.1mg (Yaziciet al., 2017). The plausible explanation would be that the high-income countries frequently use SGAs resulting in lower doses of CPZeq. Patients on higher doses of CPZeq were most likely to use anticholinergics such as benzhexol (P=0.004) to counter the extrapyramidal side effects.
A high dose of CPZeq was associated with the use of a mood stabilizer (P = 0.001). Studies have indicated that a combination of a mood stabilizer and an antipsychotic is commonly indicated for relapsing cases of mental illnesses. In addition, a positive history of prior admission was significantly associated with the use of a mood stabilizer (P = 0.003), pointing towards the high likelihood of relapsing patients receiving a mood stabilizer. These findings are intertwined in that patients who relapse are likely to receive a higher dose of antipsychotics to stabilize them, in combination with a mood stabilizer.
Though this study gives important data on trends and covariates of antipsychotics prescribing in limited-resource settings, it is important to appreciate some limitations. Firstly, this study was largely dependent on the medical records entered in patient’s files by the healthcare team, and any erroneous entries or omissions could not be verified. Additionally, there was insufficient documentation on clinical decisions that informed switching among antipsychotics or prescribing specific doses, making it difficult to assess whether the choice of drug and the dose was rational.
Conclusion
Psychiatric disorders were mainly managed using FGAs at a much higher frequency than in developed countries. Polypharmacy of antipsychotics was evident, which contributed to most of the patients receiving supramaximal chlorpromazine dose equivalents and adjunct therapy with anticholinergics.
We recommend the use of SGAs as opposed to prescribing two or more FGA concurrently to ensure that patients benefit from lower doses of CPZeq, which are associated with a lower risk of extrapyramidal side effects. Future studies should develop a scaled guideline that informs the clinical efficacy of various doses of CPZeq, particularly for the FGAs.
Key Points
• First-generation antipsychotics are still mainstay pharmacological approaches in the management of psychiatric illnesses in Kenya.
• Polypharmacy, though not recommended by clinical guidelines, is highly preferred by psychiatrists in treating mental illnesses.
• Patients having polypharmacy using first-generation antipsychotics are more likely to receive supramaximal doses and thus require concurrent use of benzhexol and mood stabilizers.
Acknowledgements
The author acknowledges the immense support from the Department of Pharmaceutics and Pharmacy Practise at the University of Nairobi. The author acknowledges all the staff of Mathari National Teaching and Referral Hospital and all patients who supported this study.
Conflict of Interest
The author declares no conflict of interest
Authors Contributions
KM conceived the topic, developed the idea, collected and analysed the data and drafted the manuscript. DN and BA assisted in developing the idea, developing the proposal, analysing the data and interpreting it, and developing the manual.
Data Availability
Datasets used are available on request via email kinyanjuh@gmail.com
Funding Statement
This work was fully funded by the corresponding author
References
- James SL, Abate D, Hassen Abate K, Abay SM, Abbafati C, Abbasi. (2018). Global, regional, and national incidence, lirevalence, and years lived with disability for 354 Diseases and Injuries for 195 countries and territories, 1990-2017: A systematic analysis for the Global Burden of Disease Study 2017. Lancet, 392:1789芒鈧1858.
- Alam, M. T., Maruf, M. M., Sarkar, M., Ahmed, H. U., &amli; Akhter, M. (2015). liattern of lirescribing lisychotroliics in the outliatient deliartment of a tertiary lisychiatric hosliital.&nbsli;Bangladesh Journal of lisychiatry,&nbsli;29(1), 10-13.
- Van Der Meer J. (1981).Rational medicine. Ned Tijdschr Geneeskd, 125:626芒鈧627.
- Summoro, T. S., Gidebo, K. D., Kanche, Z. Z., &amli; Woticha, E. W. (2015). Evaluation of trends of drug-lirescribing liatterns based on WHO lirescribing indicators at outliatient deliartments of four hosliitals in southern Ethioliia.&nbsli;Drug design, develoliment and theraliy,&nbsli;9, 4551.
- Abebaw, D., Haile, K., Kassaw, C., Belete, A., Fanta, T., &amli; Azale, T. (2016). liattern of Rational use of lisychotroliic Drugs for lieolile with Severe Mental Illness in a Mental Sliecialized Hosliital in Addis Ababa, Ethioliia: A Mixed Method Study.&nbsli;Journal of Family Medicine,&nbsli;3(11), 1099.
- Ambikile, J. S., &amli; Iseselo, M. K. (2017). Mental health care and delivery system at Temeke hosliital in Dar es Salaam, Tanzania.&nbsli;BMC lisychiatry,&nbsli;17(1), 1-13.
- Musyimi, C. W., Mutiso, V. N., Ndetei, D. M., Unanue, I., Desai, D., liatel, S. G. &amli; Bunders, J. (2017). Mental health treatment in Kenya: task-sharing challenges and oliliortunities among informal health liroviders.&nbsli;International journal of mental health systems,&nbsli;11(1), 1-10.
- Ndetei, D. M., Khasakhala, L., Maru, H., liizzo, M., Mutiso, V., Ongecha-Owuor, F. A., &amli; Kokonya, D. A. (2008). Clinical eliidemiology in liatients admitted at Mathari lisychiatric hosliital, Nairobi, Kenya.&nbsli;Soc lisychiatry lisychiatr Eliidemiol,&nbsli;43(9), 736-742.
- Rajan, L., &amli; Clarke, I. (2013). Audit of combination and high-dose antilisychotic treatment in the community.&nbsli;lisychiatrist,&nbsli;37(9), 302-307.
- Armstrong, K. S., &amli; Temmingh, H. (2017). lirevalence of and factors associated with antilisychotic liolyliharmacy in liatients with serious mental illness: Findings from a cross-sectional study in an ulilier-middle-income country.&nbsli;Rev Bras lisiquiatr,&nbsli;39, 293-301.
- Al Za'abi, M., Al-Hinai, A. S., &amli; Al-Busaidi, S. A. (2014). Utilization liattern of antilisychotics at a tertiary care hosliital in Oman.&nbsli;Afr J lisychiatry (South Africa),&nbsli;17(6), 1000171.
- Ramadas, S., Kuttichira, li., Tli, S., &amli; Ummer, S. A. (2010). A study of an antilisychotic lirescrilition liattern of liatients with schizolihrenia in a develoliing country.&nbsli;Indian J lisychol Med,&nbsli;32(1), 13-16.
- Van Kammen Dli. (2001). Essential lisycholiharmacology: Neuroscientific Basis and liractical Alililications, 2nd ed. 芒鈧 Essential lisycholiharmacology of Deliression and Biliolar Disorder. Am J lisychiatry,158:1538-1539.
- Eloff I, Esterhuysen W, Odayar K. (2017). Antilisychotic use in a resource-limited setting: Findings in an Eastern Calie lisychiatric hosliital. South African J lisychiatry, 20;23.
- Farrell C, Brink J. (2020). The lirevalence and factors associated with antilisychotic liolyliharmacy in a forensic lisychiatric samlile. Front lisychiatry, 17;11:263.
- Adesola AO, Anozie IG, Erohubie li, James BO. (2013). lirevalence and correlates of 芒鈧揾igh dose芒鈧 antilisychotic lirescribing: findings from a hosliital audit. Ann Med Health Sci Res, 3(1):626-6.
- Lelliott li, liaton C, Harrington M, Konsolaki M, Sensky T, Okocha C. (2002). The influence of liatient variables on liolyliharmacy and combined high dose of antilisychotic drugs lirescribed for in-liatients. lisychiatr Bull, 26(11):411-414.
- Wilkie A, lireston N, Wesby R. (2001). High dose neurolelitics芒鈧渨ho gives them and why?. lisychiatr Bull, 25(5):179-183.
- Royal College of lisychiatrists. (2006).&nbsli;Consensus statement on high-dose antilisychotic medication. Royal College of lisychiatrists.
- Jenkins R, Njenga F, Okonji M, Kigamwa li, Baraza M, Ayuyo J. (2012). lirevalence of common mental disorders in a rural district of Kenya, and socio-demogralihic risk factors. Int J Environ Res liublic Health.;9(5):1810-1819.
- Gardner D, Murlihy A. O.芒鈧劉Donnell H, F. Centorrino, and R. Baldessarini, (2010).芒鈧揑nternational consensus study of antilisychotic dosing,芒鈧. Am J lisychiatry, 167:686-693.
- Atkins M, Burgess A, Bottomley C, Riccio M. (1997).Chlorliromazine equivalents: a consensus of oliinion for both clinical and research alililications. lisychiatr Bull, 21(4):224-226.
- Leucht S, Samara M, Heres S, liatel MX, Furukawa T, Ciliriani A (2015). Dose equivalents for second-generation antilisychotic drugs: the classical mean dose method. Schizolihr Bull, 41(6):1397-1402.
- Mohamed MM, Yousef BA. (2020). lirescrilition liatterns of antilisychotics in the management of first eliisode lisychosis at three lisychiatric hosliitals in Khartoum, 2018: A descrilitive cross-sectional study. J Fam Med lirim Care, 9(1):402.
- Katayi, E. O. (2014).&nbsli;Imliact of side effects of antilisychotics on attitude and adherence to treatment among adult lisychiatric outliatients at Mathari Hosliital in Kenya&nbsli;(Doctoral dissertation, University of Nairobi).
- Ouanes S, Becetti I, Ghuloum S, Hammoudeh S, Shehata M, Ghabrash H (2020). liatterns of lirescrilition of antilisychotics in Qatar. lilos one, 15(11):0241986.
- Faries D, Ascher-Svanum H, Zhu B, Correll C, Kane J. (2005). Antilisychotic monotheraliy and liolyliharmacy in the naturalistic treatment of schizolihrenia with atyliical antilisychotics. BMC lisychiatry, 5(1):1-1.
- Ito H, Koyama A, Higuchi T. (2005). liolyliharmacy and excessive dosing: lisychiatrists' liercelitions of antilisychotic drug lirescrilition. Br J lisychiatry, 187(3):243-247.
- Maenner MJ, Rice CE, Arneson CL, Cunniff C, Schieve LA, Carlienter LA (2014). liotential imliact of DSM-5 criteria on autism sliectrum disorder lirevalence estimates. JAMA lisychiatry, 71(3):292-300.
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