Skip to main content

Adverse drug reactions experienced by out-patients taking chlorpromazine or haloperidol at Zomba Mental Hospital, Malawi

Abstract

Objective

Drugs for managing mental disorders can cause adverse drug reactions (ADRs) that have negative impacts on patients yet, in Malawi, epidemiological data on the drug-related problems are limited. This study assessed the prevalence and severity of ADRs in out-patients at Zomba Mental Hospital.

Results

Twenty-six of forty patients (65.0%) were taking haloperidol and 14 (35.0%) chlorpromazine. The commonest diagnosis was schizophrenia (n = 23, 57.5%) followed by epileptic psychosis (n = 4, 10.0%) and general psychosis (n = 4, 10.0%) with one of psychotic depression and one psychosis secondary to general medical condition. Comorbidities were also found with epilepsy being the commonest (n = 4, 10.0%). All patients reported at least one ADR of varying severity (mild, moderate and severe). Polydipsia was the most prevalent (24, 60.0%) followed by weight gain (20, 50.0%), spasm (15, 37.5%) and xerostomia (15, 37.5%). Some ADRs were gender specific and these included impotence (6/27, 29.6%) for males and menstrual changes (3/14, 21.4%) for females. Severe ADRs were more common in the older aged group (> 35 years 8.3% vs 7.1%), in males (11.1% vs 0.0%) and on chlorpromazine (14.3% vs 3.8%). Patients taking chlorpromazine and haloperidol are at risk of experiencing a wide range of ADRs with varying degrees of severity.

Introduction

Mental disorders are one of the leading causes of ill-health and disability and almost one in four people are affected at some point in their life [1, 2]. In 2001, the World Health Organization (WHO) reported that 450 million people suffer from mental disorders which are becoming more serious in African countries due to limited healthcare services and an increase in population reaching the vulnerable ages [3]. Vulnerable age is the period from adolescence (10–14) when people experience many problems and practices that lead to mental disorders that have a high potential of developing into mental diseases. The predisposing factors include emotional disorders, mental health conditions, childhood behavioral disorders, eating disorders, psychosis, suicide and harm and risk-taking behavior [3]. In Malawi, studies have reported a high prevalence of probable common mental disorders ranging between 20 and 28% among primary health care patients [4, 5].

Antipsychotics are a class of medicines used to reduce psychotic symptoms. Although many antipsychotics are available and there has been an increase in their use, there has also been an increase in concerns about adverse drug reactions (ADRs), which have negative impacts on patient’s life, family lifestyle, economic losses [6, 7], therapy non-adherence and/or discontinuation [8]. Studies have been conducted worldwide to investigate early detection and management of ADRs [9,10,11,12,13,14,15,16,17,18]. In Malawi, there are limited epidemiological data on mental and drug-related health problems [19]. This study assessed the prevalence, severity and impact of ADRs on out-patients taking haloperidol or chlorpromazine at Zomba Mental Hospital.

Main text

Methods

Study design and setting

This was a cross sectional observational study conducted in the outpatient department at Zomba Mental Hospital in Malawi.

Data collection

The study targeted mentally stable adult out-patients more than 18 years old attending outpatient services, diagnosed with psychotic disorders and taking chlorpromazine or haloperidol for a single psychiatric episode. The qualified respondents were given the informed consent form to read, or have it read out to them. Only those that consented and signed or thumb-printed the consent forms were recruited. The study targeted all patients over a 4 weeks period. Clinicians and nurses at the hospital helped with identifying participants who met the enrolment criteria.

A structured questionnaire adapted from Katayi [20] was used. Patients were asked whether they wanted self-administration or to have it read out to them. Information regarding psychiatric diagnosis, other co-morbidities and medication history was obtained from patient health passports and medical files. Demographic information, patient clinical data, prescribed medicines and side effects were entered in Microsoft Excel (2013) for analysis using descriptive statistics according to drug, gender, age, and organ system. Severity of ADRs was analyzed according to Glasgow antipsychotic side effects scale (GASS). This is a 22-item self-reporting questionnaire for identification of ADRs caused by antipsychotics [21].

Results

Characteristics of the study participants

Forty-three psychotic participants qualified for the study and 40 participated (93.0% acceptance). The participants were taking at least one antipsychotic drug (chlorpromazine or haloperidol). 67.5% (n = 27) were males. Mean age was 31.4 years; range 18–57 years. 50.0% (20/40) of the participants reached at least secondary school level, while 5.0% (2/40) reached college level. Forty-five percent (18/40) of the participants never married, and 40.0% (16/40) were unemployed.

Over half (57.5%, n = 23) were diagnosed with schizophrenia, while the rest included epileptic psychosis (10.0%, n = 4), general psychosis (10.0%, n = 4), bipolar affective disorder (7.5%, n = 3), schizoaffective disorder (5.0%, n = 2), cannabis-induced psychosis (5.0%, n = 2), psychotic depression (2.5%, n = 1) and psychosis secondary to general medical condition (2.5%, n = 1). Some patients presented with co-morbid physical illnesses including epilepsy (10.0%, 4/40), HIV/AIDs (7.5%, 3/40), and hypertension (5.0%, 2/40). Five percent (n = 2) presented with depression as a secondary diagnosis. Additional file 1: Table S1 outlines study participants details.

Reasons for prescribing the reported medicines

Two-thirds of participants (65%; n = 26) were taking haloperidol while 35% (n = 14) took chlorpromazine; 55% (n = 22) took only one antipsychotic drug but 45% (n = 18) had an adjunct treatment. Benzhexol was used in 4 patients (10%) to control extrapyramidal side-effects. Co-morbidities were managed by a wide range of medicines like carbamazepine (10.0%, n = 4), fluoxetine, sodium valproate, hydrochlorothiazide, amitriptyline (one each) and antiretroviral therapy (ART) (7.5%, n = 3).

Prevalence of ADRs

All participants reported at least one ADR. Polydipsia with polyuria was the most prevalent (60.0%, n = 24) followed by weight gain (50.0%, n = 20), sedation (47.7%, n = 19), arrhythmia (42.5%, n = 17), spasm (37.5%, n = 15), xerostomia (37.5%, n = 15), tremor (35.0%, n = 14), restlessness (32.5%, n = 13), daze (30.0%, n = 12), dizziness (30.0%, n = 12), bradykinesia (30.0%, n = 12), malaise (27.5%, n = 11), constipation (27.5%, n = 11), blurred vision (22.5%, n = 9), tardive dyskinesia (20.0%, n = 8), salivation (12.5%, n = 5), difficulty in urination (12.5%, n = 5), sore nipple (10.0%, n = 4), nipple discharge (7.5%, n = 3) and bed wetting (7.5%, n = 3) (Additional file 2: Table S2).

22.2% of men (6/27) experienced impotence and 30.8% (4/13) women experienced menstrual changes. 29.0% (9/31) of those who admitted to be sexually active had reduced orgasm during sexual intercourse.

Occurrence of ADRs based on gender and drug regimen

The ADRs were also analyzed on the basis of gender. Polydipsia had the highest occurrence in men (66.7%, n = 18), while sedation (53.8%, n = 7), weight gain (53.8%, n = 7) and arrhythmia (53.8%, n = 7) were the highest occurring ADRs in women (Fig. 1). Of the patients taking haloperidol, 61.5% (16/26) reported polydipsia, while patients taking chlorpromazine reported arrhythmia (57.1%, n = 8), polydipsia (57.1%, n = 8) and sedation (57.1, n = 8) (Fig. 2).

Fig. 1
figure 1

Prevalence of ADRs in male (men) and female (women) respondents

Fig. 2
figure 2

Prevalence of ADRs caused by chlorpromazine (CPZ) and haloperidol (Haldol)

Severity of the ADRs

Adverse drug reactions were analyzed for severity using GASS criteria. A severe reaction is one that needs intensive medical care or requires advanced treatment procedures, may cause permanent harm or lead to death directly or indirectly, and requires greater financial expenditure from the patients. 7.5% (3/40) of all respondents experienced severe ADRs; 2/14 to chlorpromazine and 1/26 to haloperidol (see Table 1).

Table 1 ADR severity according to age, gender and drug

Discussion

Typical (first generation) antipsychotic drugs (chlorpromazine and haloperidol) are still the first line prescribed antipsychotic medications at Zomba Mental Hospital and this study has shown that every patient experienced adverse drug reactions. This is similar to management of outpatients at Mathari hospital in Kenya [20], Butabika National Referral Mental Hospital in Uganda [22] and Amanuel Mental Specialized Hospital in central Ethiopia [23]. However, it was in contrast with a psychiatry hospital in Kashmir, India where atypical antipsychotic drugs were the first line antipsychotic medications [10]. In the USA, a survey in 2004–2005 found that three-quarters of patients took SGAs [24]. In our study, the three most common ADRs for both medications were polydipsia, weight gain and sedation. Significant number of patients had co-morbidities including HIV/AIDS, which require the psychiatrist’s careful evaluation of treatment options due to their side effects and drug interactions [25, 26].

Male predominance for some ADRs like polydipsia (excessive thirst) and/or polyuria have been reported (Figs. 1, 2). Munoli and Patil [27], Afkat et al. [9] and Katayi [19] also reported a male predominance for those ADRs. However, Munoli and Patil [27] and Katayi [20] reported sedation as the most observed ADR mainly contributed by chlorpromazine. Polydipsia was found for both chlorpromazine and haloperidol and may result in life threatening hyponatremia [28,29,30,31]. Adjunct therapy with the use of drugs like tolvaptan has been shown to improve hyponatremia but is expensive in Africa [30, 32].

Weight gain and sedation were second and third most commonly experienced ADRs respectively (Figs. 1, 2). Sedation caused mainly by chlorpromazine was also the most common male ADR reported in Guntur, Andhra Pradesh [33], but in the current study, sedation was also the most common ADR experienced among the female population (Figs. 1, 2). Sedation induced by antipsychotics has been shown to improve with adjunct medication like modafinil [34], which not only helps patients feel alert, but also prevents sedation-induced weight gain [35]. Other antipsychotic drugs like aripiprazole lack obesity-promoting pharmacology [35].

Sexual dysfunction effects (impotence, reduced orgasm, premature ejaculation) of antipsychotics, although experienced by few participants, posed a negative impact on patients’ social behavior and quality of life. Park et al. [36] reviewed evidence from a large prospective study of sexual dysfunctions that showed that similar ADRs were experienced by 71.1% of men and women taking typical antipsychotics. Antipsychotic-induced sexual dysfunction improved with the use of adjunct drugs like sildenafil, bromocriptine, amantadine and cabergoline [37, 38].

Adverse drug reactions that posed a negative impact on patient’s social life included sedation, reduced orgasm, impotence and premature ejaculation (Additional file 2: Table S2). Affected participants complained that the sedative effects made them passive at their work. Some participants reported to have divorced or left their marriage partners due to sexual dissatisfaction. Although polydipsia and weight gain were amongst three major ADRs commonly experienced by patient participants, they were tolerable and manageable. Other studies have also found that the ADRs have a negative impact on patients physical appearance and social life [10, 12, 25].

Roughly the same proportion of respondents reported severe ADRs (7.5%; 3/40) as in the USA (9%). More severe cases in this study appeared to be in patients taking chlorpromazine as opposed to haloperidol in a USA study [16].

Both FGAs and SGAs are in use in different parts of the world, chosen according to treatment outcomes and adverse effects. Both groups have significant ADRs though they are different. While the FGAs’ adverse effects are strongly associated with dry mouth, sedation, extrapyramidal symptoms, and tardive dyskinesia, some of which are irreversible, SGAs were developed to overcome the difficulty of dealing with those adverse effects. However, they also have their own side effects such as dyslipidaemia, weight gain, metabolic syndrome and diabetes mellitus. In both cases, the adverse effects are capable of influencing non-adherence to treatment regimen and poor treatment outcome. Other studies have shown no significant results in comparisons between FGAs and SGAs effectiveness and adverse effects profiles of drugs from the two groups but individual patients may respond quite differently to any two drugs. As such, clinical decision making depends on thorough clinical evaluation of data and individual characteristics [24].

Further studies are needed in Malawi to find if there might be a need to switch to the SGAs or remain with the FGAs. Murphy and McMahon [39] reported that treatment outcomes vary with racial group and ethnicity due to genetic polymorphism that leads to pharmacokinetic and pharmacodynamic variations as well as genotype–phenotype variations. Further studies are needed on a variety of local races and ethnic groups on the presently used FGAs [39]. This is crucial in antipsychotic treatment regimens as ADRs have long-term effects on adherence and achievement of successful treatment [10, 40].

Conclusion

Patients taking chlorpromazine or haloperidol may be experiencing different ADRs. A high prevalence of ADRs due to treatment with chlorpromazine or haloperidol has imposed a significant burden on the patients. These may have negative impact on the patient’s sustenance of the treatment regimen. Therefore efforts should be made to prevent or mitigate the common ADRs of weight-gain, sedation and sexual disturbances. Routine use of second generation antipsychotics should be considered.

Limitation of the study

The study targeted a small number of patients within a short period of time; hence the results cannot be generalized. However, this can act as a signal that may help in the design of a more inclusive study that can target larger populations.

Availability of data and materials

The datasets used and/or analyzed during the current study are available from the corresponding author on reasonable request.

Abbreviations

ADR:

adverse drug reaction

ART:

anti-retroviral therapy

BPAD:

bipolar affective disorder

GASS:

Glasgow antipsychotic side effects scale

HIV:

human immunodeficiency virus

References

  1. Merikangas KR, Nakamura EF, Kessler RC. Epidemiology of mental disorders in children and adolescents. Dialogues Clin Neurosci. 2009;11(1):7–20.

    PubMed  PubMed Central  Google Scholar 

  2. World Health Organization. World health report 2013. Geneva: WHO; 2013.

    Book  Google Scholar 

  3. World Health Organisation. Adolescent mental health. 2018. https://www.who.int/news-room/fact-sheets/detail/adolescent-mental-health. Accessed 10 May 2019.

  4. Udedi M, et al. Health service utilization by patients with common mental disorder identified by the Self-reporting Questionnaire in a primary care setting in Zomba, Malawi: a descriptive study. Int J Soc Psychiatry. 2013;60(5):454–61.

    Article  Google Scholar 

  5. Kauye F, Jenkins R, Rahman A. Training primary health care workers in mental health and its impact on diagnoses of common mental disorders in primary care of a developing country, Malawi: a cluster-randomized controlled trial. Psychol Med. 2014;44(03):657–66.

    Article  CAS  Google Scholar 

  6. Sultana J, Cutroneo P, Trifirò G. Clinical and economic burden of adverse drug reactions. J Pharmacol Pharmacother. 2013;4(l1):S73–7. https://doi.org/10.4103/0976-500X.120957.

    Article  PubMed  PubMed Central  Google Scholar 

  7. Rolfes L, van Hunsel F, Taxis K, van Puijenbroek E. The impact of experiencing adverse drug reactions on the patient’s quality of life: a retrospective cross-sectional study in the Netherlands. Drug Saf. 2016;39:769–76. https://doi.org/10.1007/s40264-016-0422-0.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  8. Kurmi P, Paul PK, Dutta SK, Das S. To study the pattern of adverse drug reaction of antipsychotic drugs in a tertiary care hospital of Assam. Int J PharmTech Res. 2015;8:101–5.

    Google Scholar 

  9. Afkat A, Arshad H, Samina F, Shagufta P, Vineeta S, Zubair A. Prevalence and severity of adverse drug reactions (ADRs) in patients subjected to different anti-psychotic drugs in an out-patient Department of a Psychiatry Hospital in Kashmir; a prospective observational study. Int J Pharmacol Clin Sci. 2016;5(1):12–6.

    Google Scholar 

  10. Piparva KG, Buch JG, Chandrani KV. Analysis of adverse drug reactions of atypical antipsychotic drugs in psychiatry OPD. Indian J Psychol Med. 2011;33(2):153–7. https://doi.org/10.4103/0253-7176.92067.

    Article  PubMed  PubMed Central  Google Scholar 

  11. Kate NS, Pawar SS, Parkar SR, Sawant NS. Adverse drug reactions due to antipsychotics and sedative-hypnotics in the elderly. J Geriatr Ment Health. 2015;2:16–29.

    Article  Google Scholar 

  12. Chawla S, Kumar S. Adverse drug reactions and their impact on quality of life in patients on antipsychotic therapy at a tertiary care center in Delhi. Indian J Psychol Med. 2017;39(3):293–8. https://doi.org/10.4103/0253-7176.207332.

    Article  PubMed  PubMed Central  Google Scholar 

  13. Gummadi T, Harave VS, Aiyar LN, RajaLekshmi SG, Kunnavil R. Adverse drug reaction monitoring in a tertiary care psychiatry setting: a comparative study between inpatients and outpatients. Indian J Psychol Med. 2017;39(3):306–11. https://doi.org/10.4103/0253-7176.207328.

    Article  PubMed  PubMed Central  Google Scholar 

  14. Viswanathan MT, Sisupalan A, Karunakaran V. Pattern of adverse reactions of antipsychotics in a tertiary care hospital. Int J Basic Clin Pharmacol. 2016;5:991–8.

    Article  Google Scholar 

  15. Aburamadan HA, Sridhar SB, Tadross TM. Intensive monitoring of adverse drug reactions to antipsychotic medications in the inpatient psychiatry department of a secondary care hospital of UAE. Int J Pharm Invest. 2018;8:151–6.

    Article  Google Scholar 

  16. Hale G, Kane-Gill M, Groetzinger SL, Smithburger PL. An evaluation of adverse drug reactions associated with antipsychotic use for the treatment of delirium in the intensive care unit. J Pharm Pract. 2016;29(4):355–60. https://doi.org/10.1177/0897190014566313.

    Article  PubMed  Google Scholar 

  17. Sørup FKH, et al. Adverse drug events with antipsychotics—a sex difference. Clin Ther. 2017;39(8):e56.

    Article  Google Scholar 

  18. Zhang JP, Gallego JA, Robinson DG, Malhotra AK, Kane JM, Correll CU. Efficacy and safety of individual second-generation vs. first-generation antipsychotics in first-episode psychosis: a systematic review and meta-analysis. Int J Neuropsychopharmacol. 2013;16(6):1205–18. https://doi.org/10.1017/S1461145712001277.

    Article  CAS  PubMed  Google Scholar 

  19. Udedi M. Improving access to mental health services in Malawi. Ministry of Health Policy Brief. 2016. https://www.afidep.org/download/research-briefs/policy-briefs/Improving-access-to-mental-health-services-in-Malawi.pdf. Accessed 12 Aug 2018.

  20. Katayi EO. Impact of side effects of antipsychotics on attitude and adherence to treatment among adult psychiatric outpatients at Mathari Hospital in Kenya. Masters Thesis. School of Pharmacy, University of Nairobi; 2014.

  21. Waddell L, Taylor M. A new self-rating scale for detecting atypical or second-generation antipsychotic side effects. J Psychopharmacol. 2008;22(3):238–43.

    Article  CAS  Google Scholar 

  22. Abou-Setta AM, Mousavi SS, Spooner C, Schouten JR, Pasichnyk D, Armijo-Olivo S, Beaith A, Seida JC, Dursun S, Newton AS, Hartling L. AHRQ Publication No. 12-EHC054-EF. 2012. https://www.ncbi.nlm.nih.gov/books/NBK107254/pdf/Bookshelf_NBK107254.pdf. Accessed 10 May 2019.

  23. Wubeshet YS, Mohammed OS, Desse TA. Prevalence and management practice of first generation antipsychotics induced side effects among schizophrenic patients at Amanuel Mental Specialized Hospital, central Ethiopia: cross-sectional study. BMC Psychiatry. 2019;19(1):32. https://doi.org/10.1186/s12888-018-1999-x.

    Article  PubMed  PubMed Central  Google Scholar 

  24. Lubinga SJ, Mutamba BB, Nganizi A, Babigumira JB. A cost-effectiveness analysis of antipsychotics for treatment of schizophrenia in Uganda. Appl Health Econ Health Policy. 2015;13(5):493–506. https://doi.org/10.1007/s40258-015-0176-3.

    Article  PubMed  Google Scholar 

  25. Thompson A, Silverman B, Dzeng L, Treisman G. Psychotropic medications and HIV. Clin Infect Dis. 2006;42(9):1305–10. https://doi.org/10.1086/501454.

    Article  CAS  PubMed  Google Scholar 

  26. Muñoz-Calero P, Sánchez FG, Criado NR, Aragón RM, Fourcade JFC, Herrero SB, Sánchez BS. Use of antipsychotics and antidepressants in patients with HIV. Eur Psychiatry. 2016;33:S150–1.

    Article  Google Scholar 

  27. Munoli S, Patil SB. Adverse drug reaction monitoring of antipsychotic drugs and mood stabilizers in a teaching hospital. Int J Pharmacol Clin Sci. 2017;5(4):118–21.

    Google Scholar 

  28. Florida EG, Florida YG, Florida MS. Management of hyponatremia: focus on psychiatric patients. 2013. https://www.uspharmacist.com/article/management-of-hyponatremia. Accessed 19th Apr 2018

  29. Meulendijks D, Mannesse CK, Jansen PAF, Marum RJ, Egberts TCG. Antipsychotic-induced hyponatraemia. Drug Saf. 2010;33(2):101–14.

    Article  CAS  Google Scholar 

  30. Katzung BG. Basic & clinical pharmacology. New York: McGraw-Hill Medical; 2012.

    Google Scholar 

  31. Busti AJ. The mechanism for Risperidone (Risperdal) induced hyponatremia in some patients being treated for schizophrenia. 2015. https://www.ebmconsult.com/articles/atypical-antipsychotic-risperidone-risperdal-hyponatremia-schizophrenia. Accessed 19th Apr 2018.

  32. Siegel AJ. Hyponatremia in psychiatric patients: update on evaluation and management. Harvard Rev Psychiatry. 2008;16(1):13–24.

    Article  Google Scholar 

  33. Silpa KS, Aparna S, Pradeep P, Krishna NM. Drug safety evaluation of anti-psychotics in schizophrenia: a prospective observational study in a tertiary care hospital. World J Pharm Res. 2015;4:1472–81.

    Google Scholar 

  34. Saavedra-Velez C, Yusim A, Anbarasan D, Lindenmayer JP. Modafinil as an adjunctive treatment of sedation, negative symptoms, and cognition in schizophrenia: a critical review. J Clin Psychiatry. 2009;70(1):104–12.

    Article  CAS  Google Scholar 

  35. Reynolds GP, Kirk SL. Metabolic side effects of antipsychotic drug treatment—pharmacological mechanisms. Pharmacol Ther. 2010;125(1):169–79.

    Article  CAS  Google Scholar 

  36. Park YW, Kim Y, Lee JH. Antipsychotic-induced sexual dysfunction and its management. World J Men’s Health. 2012;30(3):153.

    Article  Google Scholar 

  37. Schmidt HM, Hagen M, Kriston L, Soares-Weiser K, Maayan N, Berner MM. Management of sexual dysfunction due to antipsychotic drug therapy. Cochrane Database Syst Rev. 2012;14(11):CD003546.

    Google Scholar 

  38. Costa AMN, Lima MS, de Mari J. A systematic review on clinical management of antipsychotic-induced sexual dysfunction in schizophrenia. Sao Paulo Med J. 2006;124(5):291–7.

    Article  Google Scholar 

  39. Murphy E, MacMahon FJ. Pharmacogenetics of antidepressants, mood stabilizers and antipsychotics in diverse human populations. Discov Med. 2013;16(87):113–22.

    PubMed  PubMed Central  Google Scholar 

  40. Gründer G, Heinze M, Cordes J, Mühlbauer B, Juckel G, Schulz C, et al. Effects of first-generation antipsychotics versus second-generation antipsychotics on quality of life in schizophrenia: a double-blind, randomized study. Lancet Psychiatry. 2016;3(8):P717–29. https://doi.org/10.1016/S2215-0366(16)00085-7.

    Article  Google Scholar 

Download references

Acknowledgements

We thank the management of the Zomba Mental Hospital for allowing us to conduct the study. We also thank Dr. David Scott for helping with the editing of the manuscript.

Funding

This study was supported by the College of Medicine undergraduate research fund and authors contributions.

Author information

Authors and Affiliations

Authors

Contributions

IC, EK and SP designed the study. MD and VM collected data. CM supervised data collection. CM designed data collection tools. IC, MD and VM analyzed data. IC wrote first draft. All authors revised the drafts. EK and SP supervised overall project. All authors read and approved the final manuscript.

Corresponding author

Correspondence to Ibrahim Chikowe.

Ethics declarations

Ethics approval and consent to participate

The study ethical approval was granted by the College of Medicine Research and Ethics Committee (COMREC) (Reference Number: SP.2017/PHARM4/15). Permission was also sought from the Zomba Mental Hospital management before the study. Written informed consents were obtained from the eligible patients and number codes (serial numbers) were used in identifying each patient participant, to respect patient’s privacy and confidentiality.

Consent for publication

Not applicable.

Competing interests

The authors declare that they have no competing interests.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Additional files

Additional file 1: Table S1.

Demographic and health information about respondents.

Additional file 2: Table S2.

ADRs from specified population and others.

Rights and permissions

Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Chikowe, I., Domingo, M., Mwakaswaya, V. et al. Adverse drug reactions experienced by out-patients taking chlorpromazine or haloperidol at Zomba Mental Hospital, Malawi. BMC Res Notes 12, 376 (2019). https://doi.org/10.1186/s13104-019-4398-6

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1186/s13104-019-4398-6

Keywords