Skip to main content
Psychopharmacology Bulletin logoLink to Psychopharmacology Bulletin
. 2016 Mar 1;46(1):54–66.

A Prospective Surveillance of Pharmacovigilance of Psychotropic Medicines in a Developing Country

Jisha Myalil Lucca 1, Madhan Ramesh 1, Gurumurthy Parthasarathi 1, Dushad Ram 1
PMCID: PMC5044486  PMID: 27738373

Abstract

Aims/objectives

Psychotropic drugs are associated with significant short-term and long-term safety issues which may affect patients’ mental health, physical health and cost of care.

Experimental designs

This was a prospective study conducted in psychiatry department of a tertiary care hospital. Study included patients of any age and either sex who presented with psychiatric illness as diagnosed by ICD-10 and were receiving at least one psychotropic agent. The study involved both intensive and spontaneous reporting methods to identify ADRs. Causality, Severity, Preventability of reported ADR was assessed using standard scales.

Principle observation

Of 4321 patients reviewed, 1630 patients met study criteria, 990 ADRs were identified from 613 patients at an overall incidence rate of 37.6%. Antidepressants were the commonest group of agents implicated in ADRs (42%) followed by Antipsychotics (41%). Escitalopram (15.9%) and Olanzapine (12.1%) were the most commonly implicated medications. Most commonly involved system organ class was Gastrointestinal system (22.7%) followed by Central and peripheral nervous system (17.8%). Dry mouth (10.2%), weight gain (8.18%) and tremors (5.85%) were the commonly reported ADRs. Female gender (p = 0.002), Co-morbid conditions (p = 0.001) and drug- drug interactions (p = 0.000) were found as risk factors in developing ADRs in psychiatry patients.

Conclusion

Patients receiving psychotropic medicines need routine monitoring to ensure their safety and adherence.

Keywords: adverse drug reactions, psychotropic medications, intensive monitoring, spontaneous reporting, short and long term safety

Introduction

The introduction of first generation neuroleptic prompted large changes in the field of psychiatry, leading to a medical and pharmacological understanding of mental illness followed by the identification Extrapyramidal symptoms (EPS).1,2 The correlation between the development of extrapyramidal symptoms and the improvement of psychotic symptoms led to the idea that side-effects were unavoidable. In the early 1990s new classes of antidepressants [selective serotonin reuptake inhibitors (SNRIs)] and second generation antipsychotics (SGAs) were introduced into the market.3 With the advent of these new treatment options, entirely a new concerns regarding different patterns of adverse drug reactions and drug interactions have arised.4 The safety and efficacy of these newer class of drugs have been established through a large number of randomized clinical trials.5 However most of the clinical trials of psychotropics are conducted in “ideal” conditions, patients are selected according to stringent criteria and comorbid medical conditions are usually excluded. These trials are often short-term, lasting only for a few weeks or months.6 By contrast, the patients encounter in routine clinical practice is often having more complex presentations and comorbid medical illnesses, and they remain under care of a psychiatrist for longer periods of time.7 Also patients do not respond to initial drug therapy, may require several trials of different medications and combination of various drugs, which can increase the risk of adverse effects or drug interactions.811 In this context, ADRs that were not noticed in a trial become more apparent, and the burden of managing them falls on the practicing healthcare professionals.

Moreover, clinical development of most of the drugs happens in the developed countries, mainly in the west. Hence the efficacy and safety data available may not be applicable to Indian population due to the reasons like, difference in the prescribing practice, pharmaceutical preparation, and genetic variables.6 Studies on the adverse drug reaction of psychotropic medications are plentiful in number,1120 but are carried out for short period of time (1–6 months). There is paucity of information on long term safety of psychotropic’s medication, Also studies determining the predictors of ADRs to psychotropic agents and estimating the cost involved in the management of ADR are lacking. In the absence of much needed information on risk-benefit ratio on psychotropic agents, the process of therapeutic decision-making to maximize the clinical effectiveness, minimize the ADRs and provide a cost benefit treatment is difficult. Therefore, this study aims to asses both short-term and long-term safety and tolerability of psychotropic agents in general and to study the preventability and predictors of ADRs and also the cost incurred in the management of ADRs in local psychiatric population.

Materials and Methods

Study Settings and Population

This study was carried out in a tertiary care teaching hospital located in the South Indian state of Karnataka over a period of three year from April 1, 2012 to March 30, 2015. Patients of any age presented with psychiatric illness as diagnosed by ICD-10 who were either admitted to psychiatry ward or treated on outpatient basis and receiving at least single psychotropic agent were included in the study. Patients were excluded from the study if they appeared intoxicated with drugs or alcohol or deemed actively psychotic by the psychiatrist. Patients presenting for the first time (index visit) and receiving other than allopathic drugs were also excluded from the study.

Ethical Considerations

The study protocol was reviewed and approved by Institutional Human Ethical Committee of Jagadguru Sri Shivarathreeshwara College of Pharmacy, Mysore and also administrative approval was obtained from the JSS hospital authority prior to the commencement of study.

Data Collection Procedure

This prospective study adopted both spontaneous reporting and active surveillance pharmacovigilance methodology simultaneously.

Spontaneous Reporting

Adverse drug reaction reports were accepted from all the healthcare professionals of psychiatric department irrespective of their status and types of services offered. A pre designed suitable “ADR notification form” was made available at both outpatient and inpatient unit of the psychiatric department. This was prepared based on a format similar to the national pharmacovigilance program of India (PVPI). This notification form contained only the basic and essential information. Psychiatrists, nurses and other health care professionals were asked to fill in the notification form, when they encountered suspected ADRs. Apart from notification form, other modes of reporting such as telephonic reporting, direct access, referral of patients and personal meeting were adopted to ease the reporting of “suspected” ADRs. The reporter was not required to prove cause and effect prior to the reporting of “suspected” adverse drug reaction. Once the suspected ADR was reported, patients’ medical records were reviewed and also patients and or healthcare professionals were interviewed as needed to collect all the necessary and relevant data pertaining to the “suspected” ADR.

Intensive Monitoring

All the patients admitted to the psychiatric ward were intensively monitored on daily basis from the day of admission to till the day of discharge. While, the out patients were randomly reviewed on their visits to the outpatient department (OPD) to detect any new symptoms that might be associated with the use of medicine. Any adverse event noted by the study pharmacist was brought to the notice of the concerned psychiatrist and the adverse outcome was labeled as adverse drug reaction only after discussing with the consultant. In case of any difference of opinion with respect to the suspected reaction, treating psychiatrist’s opinion was considered as final. All the information required for the assessment of identified ADRs was gathered using various patient information sources and standard drug information resources. All the collected data such as patients’ details, medication details, event details and other relevant data were documented in a suitably designed data collection forms. All the patients were followed regularly during their onsite visits for identification and documentation of both short-term and long-term ADRs. The follow up process consisted of patents interview and chart review.

Statistical Analysis

Predictors of each of short-term and long-term ADRs were determined at a p value < 0.05 by investigating the effect of age, gender, co morbid medical condition, type of patients, allergic condition, medication adherence, total number of drugs prescribed and pDDI. Multivariate regression analysis was used to evaluate the influence of theses predictors on development of ADRs. Also the predictors of ADRs inpatient and outpatient were determined at a p value < 0.05 by multivariate regression analysis. All the statistical analysis were performed by using Statistical Package for Social Sciences (SPSS) V21.0 software.

Result

Total 1630 patients met the study criteria and were included in the study. Of which 43.3% (n = 708) were inpatients and 56.6% (n = 922) were outpatients. A total of 1199 patients were followed at least once during the study period. Among the 1011 ADRs that were either detected or reported from 630 patients, only 990 ADRs from 613 patients were considered for further analysis, 21 ADRs from 17 patients were excluded owing to the lack of information. The overall incidence of ADR was found to be 37.6% and the average number of ADRs in a patient was 1.6 (range 1 to 8). The incidence of ADR was high in outpatients [n = 397 (43%)], female gender [n = 353 (43.4%)], patients receiving 3–4 drugs [n = 220 (43.1%)], presence of co morbid medical condition [n = 152 (48.4%)] and in patients with behavioral and emotional disorders with onset usually occurring in childhood and adolescence (F90–F99) [n = 3 (75%)]. The incidence of ADR based on patient characteristics is presented in Table 1. A total of 688 (69.4%) ADRs were detected by active surveillance, while 302 (30.5%) ADRs were spontaneously reported by the psychiatrist, postgraduate medical students and the nursing staff of the psychiatric department. One half of the patients experienced one ADR while 24.6% and 15.8% patients developed two ADRs and three or more ADRs respectively.

Table 1. Incidence of ADRs Based on Patient Characteristics.

CHARACTERISTICS NUMBER OF PATIENTS (N = 1630) NUMBER OF PATIENTS WITH ADR (N = 613) INCIDENCE NUMBER OF ADRs (N = 990) PERCENTAGE OF ADRs
Category
 Inpatients 708 216 30.5 353 35.6
 Out patients 922 397 43.1 637 64.3
Gender
 Male 818 260 31.7 416 42
 Female 812 353 43.4 574 57.9
Age (years)
Pediatrics 90 29 32.2 51 5.1
Adults
 19–29 443 177 39.9 291 29.4
 30–39 486 177 36.4 285 28.9
 40–49 338 129 38.1 216 21.8
 50–59 154 55 35.7 83 8.4
Geriatrics 119 46 38.7 64 6.4
Number of Medications
 1–2 618 234 37.8 347 35.1
 3–4 511 220 43.1 349 35.3
 ≥ 5 501 159 31.7 294 29.7
Co-Morbid conditions
 Absent 1316 461 35.1 763 77.1
 Present 314 152 48.4 227 22.9
Allergy
 Absent 1620 609 37.5 986 99.5
 Present 10 4 40 4 0.4
Medication Adherence
 Adherent 1178 443 37.6 718 72.5
 Non adherent 452 170 37.6 272 27.4
Diseases condition (ICD 10 chapter 5 categories)*
 F01–F09 44 27 61.3 29 2.9
 F10–F19 187 30 16 43 4.3
 F20–F29 227 102 44.9 169 17.1
 F30–F39 834 306 36.6 517 52.2
 F40–F49 244 104 42.6 165 16.7
 F50–F59 51 22 43.1 35 3.5
 F60–F69 18 9 50 16 1.6
 F70–F79 19 9 47.3 12 1.2
 F80–F89 2 1 50 1 0.1
 F90–F99 4 3 75 3 0.3
*

Organic, including symptomatic, mental disorders (F01–F09), Mental and behavioral disorders due to psychoactive substance use (F10–F19), Schizophrenia, schizotypal and delusional disorders (F20–F29) Mood [affective] disorders (F30–F39), Neurotic, stress-related and somatoform disorders (F40–F49), Behavioural syndromes associated with physiological disturbances and physical factors (F50–F59), Disorders of adult personality and behavior (F60–F69), Mental retardation (F70–F79), Disorders of psychological development (F80–F89), Behavioral and emotional disorders with onset usually occurring in childhood and adolescence (F90–F99).

Of the total 990 ADRs, long-term and short-term ADRs accounted for 14.7% (n = 146) and 85.25% (n = 844) respectively, weight gain (15%), menstrual irregularity (8.2%), tardive dyskinesia (5.4%) were the commonly observed long-term ADRs while dry mouth (11.9%) weight gain (6.8%), tremors (6.7%) and increased sweating (6.3%) were the commonly observed short-term ADRs. The long-term and short-term ADRs are presented in the Table 2. Anatomical class of medication frequently implicated in ADRs was drugs acting on the nervous system (N) [n = 952 (96.2%)]. Psycholeptics (N05) [n = 454 (45.8%)] and psychoanaleptics (N06) [n = 418 (42.2%)] were the therapeutic classes of drugs commonly implicated in ADRs. Anatomical and therapeutic class of medications implicated in ADRs is presented in the Table 3.

Table 2. Long-term and Short-term ADRs.

Long-term ADRs (n = 146) Short-term ADRs (n = 844)
Weight increased [0408] (22), Menstrual disorders [0657] (12), Dyskinesia Tardive [1065] (8), Amenorrhea [0636] (6), Lactation non puerperal [0652] (5), Psychosis [0193] (5), Acne [0001] (5), Libido decreased [0184] (4), Hyperkinesias [0114] (4), Manic reactions [0184] (4), Alopecia [0002] (4), Gastritis [0291] (4), Urinary incontinence [0156] (4), Edema peripheral [0401] (4), Myalgia [0073] (3), Amnesia [0164] (3), Extrapyramidal disorders [0106] (3), Abdominal pain [0268] (3), Diabetes [0371] (2), Saliva increased [0222] (2), Gum hyperplasia [0296] (2), Hyper lipidaemia [1338] (2), Hypoaesthesia [0117] (2), Depression [0172] (2), Anemia [0544] (2), Fatigue [0729] (2), Impotence [0182] (2), Hyper triglyceredemia [1338] (1), Vaginal discomfort [1505] (1), Dyskinesia [1102] (1), Dystonia [0068] (1), Speech disorders [0150] (1), Tremors [0154] (1), Dreaming abnormal [1243] (1), Dyspepsia [0279] (1), Sweating increased [0043] (2), Fixed eruption [1249] (1), Arthralgia [0063] (1), Osteoporosis [0076] (1), Polyuria [0613] (1), Pancytopenia [0566] (1), Ejaculation premature [1230] (1), Hypotension [0212] (1), Hypertension [0210] (1), Bradycardia [0208] (1), Hypothyroidism [0417] (1), Taste loss [0266] (1), Epistasis [0515] (1) Mouth dry [0218] (101), Weight increased [0408] (59), Tremors [0154] (57), Sweating increased [0043] (54), Hypotension postural [0213] (48), Constipation [0204] (44), Dizziness [0101] (30), Somnolence [0197] (27), Fatigue [0729] (26), Dystonia [0068] (18), Speech disorders [0150] (18), Thrombophlebitis [0466] (18), Gastritis [0291] (17), Appetite increased [0168] (16), Saliva increased [0222] (14), Headache [0109] (14), Anorexia [0165] (11), Taste loss [0266] (11), Yawning [0201] (10), Vomiting [0228] (10), Insomnia [0183] (10), Polyuria [0613] (10), Lactation non puerperal [0652] (10), Amenorrhea [0636] (9), Psychosis [0193] (9), Dreaming abnormal [1243] (9), Abdominal pain [0268] (9), Menstrual disorders [0657] (8), Myalgia [0073] (7), Dyspepsia [0279] (7), Hyperkinesias [0114] (7), Libido decreased [0184] (7), Delirium [0099] (6), Weight decreased [0407] (6), Hypertension [0210] (6), Hypotension [0212] (5), Tinnitus [0264] (5), Falls [1444] (5), Polydypsia [1606] (4), Acne [0001] (4), Alopecia [0002] (4), Hypoaesthesias [0117] (4), Nausea [0308] (4), Diarrhea [0205] (3), Depression [0172] (3), Hallucinations [0179] (3), Prurities [0024] (3), Impotence [0182] (3), Ejaculation premature [1230] (3), Tachycardia [0224] (3), Thrombocytopenia [0594] (2), Rash [0027] (2), Stomatitis ulcerative [0328] (2), Agitation [0163] (2), Amnesia [0164] (2), Ataxia [0088] (2), Hyponatremia [0392] (2), Manic reactions [0186] (2), Halitosis [1810] (2), Facial edema [0602] (2), Fever [0725] (2), Vision blurred [0257] (2), Urine flow decreased [1780] (2), Extra pyramidal disorders [0106] (2), Flatulence [0285] (1), Tooth ache [1376] (1), Oculogyric crisis [0132] (1), Paraethesia [0137] (1), Stupor [0151] (1), Incontinence [0156] (1), Anxiety [0166] (1), Nervousness [0188] (1), Concentration impaired [1127] (1), Hyper amonimea [1113] (1), Rash maculopapular [0030] (1), Skin discoloration [0036] (1), Edema peripheral [0401] (1), Pain [0730] (1), Urinary incontinence [0156] (1), Arthralgia [0063] (1), Palpitations [0221] (1), Diplopia [0241] (1), Gingival bleeding [0930] (1), Epistaxis [0515] (1)

Table 3. Anatomical and Therapeutic Class of Medication Implicated in ADRs.

ANATOMICAL CLASS [CODE] (NUMBER OF ADRs) THERAPEUTICAL CLASS [CODE] Number of ADRs (%)
Nervous system [N] [n = 952 (96.2)] Psycholeptics [N05] 454 (45.8)
Psychoanaleptics [N06] 418 (42.2)
Antiepileptics [N03] 68 (6.8)
Analgesics [N02] 1 (0.1)
Anti-parkinson drugs [N04] 1 (0.1)
Other nervous system drugs [N07] 1 (0.1)
Anti infectives for systemic use [J] [n = 13 (1.3)] Antimycobacterials [J04] 6 (0.6)
Antibacterials for systemic use [J01] 6 (0.6)
Antivirals for systemic use [J05] 1 (0.1)
Dermatologicals [D] [n = 12 (1.2)] Corticosteroids, dermatological preparation [D07] 11 (1.1)
Anti-Acne preparations [D10] 1 (0.1)
Cardiovascular system [C] [n = 6 (0.6)] Calcium channel blockers [C08] 2 (0.2)
Agents acting on the rennin angiotensin system [C09] 2 (0.2)
Lipid modifying agents [C10] 2 (0.2)
Alimentary tract and metabolism [A] [n = 4 (0.4)] Antiemetics and antinauseants [A04] 2 (0.2)
Stomatological preparations [A01] 1 (0.1)
Drugs for functional gastrointestinal disorders [A03] 1 (0.1)
Genitourinary system and sex hormones [G] [n = 1 (0.1)] Urologicals [G04] 1 (0.1)
Antiparasitic products, insecticides and repellents [P] [n = 1 (0.1)] Antiprotozoals [P01] 1 (0.1)
Blood and blood forming organs [B] [n = 1 (0.1)] Anti anemic preparations [B03] 1 (0.1)

One half of the ADRs were ‘probable’ in their casual relationship, as assessed by WHO probability Scale. 76.7% adverse reactions were predictable, and preventable reactions accounted for 18.8%. One half (n = 495) of the ADRs belonged to ‘Level 1’ in their severity category (Table 4).

Table 4. Predictability, Preventability, Severity and Seriousness of Reported ADRs.

ASSESSMENT Category NUMBER OF ADRs (%)
Predictability Predictable 760 (76.7)
Not predictable 230 (23.2)
Preventability Not preventable 804 (81.2)
Probably preventable 169 (17.1)
Definitely preventable 17 (1.7)
Severity Level 1 495 (50)
Level 2 263 (26.5)
Level 3 179 (18.1)
Level 4a 20 (2.0)
Level 4b 30 (3.0)
Level 5 2 (0.2)
Level 6 1 (0.1)
Seriousness Serious 53 (5.3)
Non Serious 937 (94.6)

Multivariate regression analysis identified female gender, presence of comorbid medical conditions and presence of drug-drug interaction as the predictors of both short-term and long-term ADRs. Predictors of short-term and long-term ADRs and their clinical significance are given in Table 5.

Table 5. Predictors of Short-term and Long-term ADRs.

SHORT-TERM ADRs LONG-TERM ADRs
CHARACTERISTICS ODDS RATIO (CI*) P VALUEa ODDS RATIO (CI*) P VALUE
Age (years)
 ≤ 18 1 (Reference)
 19–29 1.627 (0.950–2.786) 0.076 0.751 (0.313–1.801) 0.521
 30–39 1.277 (0.744–2.190) 0.375 0.927 (0.394–2.181) 0.862
 40–49 1.019 (0.583–1.780) 0.948 1.446 (0.616–3.394) 0.397
 50–59 1.292 (0.698–2.392) 0.414 0.506 (0.169–1.515) 0.224
 ≥ 60 1.198 (0.628–2.283) 0.584 0.817 (0.286–2.332) 0.706
Sex
 Male 1 (Reference)
 Female 1.42 (1.13–1.8) 0.002 1.49 (1.01–2.19) 0.046
Category
 Inpatients 0.464 (0.330–0.651) 0.000 0.735 (0.424–1.274) 0.273
 Out patients 1 (Reference)
Co morbidity
 Absent 1 (Reference)
 Present 1.592 (1.208–2.098) 0.001 1.688 (1.088–2.618) 0.019
Number of drugs
 1–2 1 (Reference)
 3 to 4 1.191 (0.892–1.589) 0.236 1.352 (0.837–2.182) 0.218
 ≥ 5 1.135 (0.746–1.725) 0.555 1.050 (0.521–2.117) 0.891
Medication adherence
 Absent 1 (Reference)
 Present 1.019 (0.795–1.304) 0.884 1.204 (0.783–1.853) 0.398
Allergy
 Absent 1 (Reference)
 Present 1.565 (0.403–6.080) 0.517 0.000 (0.000) 0.999
Drug-drug Interaction
 Absent 1 (Reference)
 Present 2.565 (2.032–3.239) 0.000 1.610 (1.086–2.387) 0.018
*

CI, 95% confidence interval.

a

P value < 0.05 is considered as significant.

Of the total ADRs, 24% of the ADRs incurred cost in the management of ADRs. Total cost incurred in the management of 238 ADRs was Rs. 114731.00/- Average cost incurred per ADR was Rs. 482.06 INR (range: Rs. 10–Rs. 7846/-). Of the total direct cost incurred in the management of ADRs, bed charge accounted for Rs. 75460.00 followed by medication cost (Rs. 24791.00). The total direct cost incurred in the management of ADRs is presented in Table 6.

Table 6. Direct Cost Involved in the Management of ADRs.

TYPE OF DIRECT COST NUMBER OF ADR (%) (n = 238)a COST IN RS. (% COST)
Medicine Cost 226 (94.95) 24791.00 (21.6)
Lab Investigation 21 (8.82) 11050.00 (9.6)
Hospital Bed Charge 53 (22.2) 75460.00 (65.7)
Other chargesb 41 (17.2) 3430.00 (2.9)
Total cost 114731.00
a

≥ 2 parameters may be involved in the management of an ADR.

b

Administration charges, nursing charges, medical devices.

Discussion

The incidence of ADR was found to be 37.6%, which is consistent with the literature that report the incidence of ADRs in the varying range of 3.6%–91%.1521 Average number of ADR/patient was 1.6 (range:1–8). Highest number of ADRs identified in single patient was eight and was observed in different points of time of her 45 days hospital stay. Incidence of ADRs in the outpatients (43.1%) was higher than the inpatients (30.5%). This result perhaps may be due to reasons that most of the patients were discharged within 2 weeks of their hospital admission, while majority of the psychotropic agents are expected to show their action after 2 weeks. Moreover, long-term side effects could not be detected within such short duration of hospital stay. ADRs in the inpatient settings were predominantly severe (EPS, thrombophlebitis) and required interventions, while in outpatients setting ADRs were observed to be mild and self-limiting (dry mouth, sedation). Central nervous system (CNS) and vascular disorders were the most commonly affected system organ class in inpatients; whereas in outpatients, it was gastrointestinal system disorders followed by metabolic and nutritional disorders.

It is well-reported that ADRs are more common in females.2224 This study showed no discrepancy to the results of the previously published studies. The explanation for a higher risk in females may be multi-causal including gender-related differences in pharmacokinetics, pharmacodynamics, pharmacogenetics, immunological and hormonal factors as well as diversity in the use of medications (contraceptives) by women compared with men. The study didn’t observe any diversity in severity and type of ADRs in different age groups. One of the reasons could be that psychiatrists possibly consider the special requirements of elderly and pediatric patients and monitor them more intensively, prescribe lower dosages or avoid high-risk drugs and dangerous combinations thus reduces the risks of ADRs in these patients.

Majority of the ADRs were reported by active surveillance. However, the rate of spontaneous reporting was higher (30.5%) in this study when compared to other Indian studies (1.8–12.5%).2527 The reason for increased reporting rate in our study might be perhaps due to the existence of well established ADR monitoring and reporting system in the study site. Health care professionals (HCPs), especially psychiatrists, reported the majority of the ADRs. psychologists, medical interns, nurses and student nurses also reported ADRs in hospitalized patients. Surprisingly, consumers also have reported very few ADRs. It was observed that spontaneous reporting by the HCPs was majorly to those ADRs that were moderate to severe and rare reaction.

Drugs acting on nervous system was the most common (96%) anatomical class of medication implicated in ADRs and this observation is comparable with other studies.28,29 ADRs due to psychotropic medications (94%) were far more common than non psychotropic medications (6%). This finding was similar to the results of Luppa et al.13 study, while it contradicts with the findings of study conducted by Michele et al.12 wherein non psychiatric medications were responsible for 53% of ADRs, which is much higher than the finding of our study. Among the non psychotropic drugs anti-infective for the systemic use was commonly implicated in causing ADRs, This finding differ from the finding of the other studies12,13 wherein, cardiovascular drugs reported to be most commonly implicated non psychiatric drugs. This disparity could be due to differences in the disease prevalence and prescribing pattern of medications in the study settings.

The nature of both long-term and short-term ADRs observed in our study were in consistent with the finding of the other studies.3032 Majority of the long term ADRs belonged to the system organ class metabolic and nutritional disorders. Weight gain was the most commonly observed long term ADR and olanzapine was the most risky agents.

The preventability of reported ADRs accounted for 18.7%. The drug class frequently associated with preventable ADRs was antipsychotics. These findings contradict with other published studies12,13 wherein lithium was reported to be commonly associated with preventable ADRs. In 65.5% of cases drug-drug interactions was determined to be the source of preventable ADRs, only few patients had the history of allergy or documented previous ADR to the suspected drug. Also ADRs were preventable as result of preventive measures were not prescribed or administer for the patients. The ADRs were also preventable due to the reason that in few cases, dose and route of the suspected drug is inappropriate due to patient age and body weight.

The average direct cost incurred per ADR was 482.06 INR (8.3 US$) which is low compared to other Indian studies, that reported the cost involved in the management of ADRs between US$ 15 and US$ 115.3237 The probable reasons may be that, these studies were carried out in inpatient setting, while in our study majority of patients were from outpatient setting. The cost difference could also be due to the difference in the study settings. The cost of treatment generally varies from hospital to hospital depending on the level of sophistication and type of hospital. Usually the charity trusts hospitals charge lower fees than private corporate hospitals. Thus, results of the present study might reflect the economic burden of ADRs in similar types of hospitals across the country. The parameters that were considered for the direct cost involved in the management of ADRs include cost of medicines, bed charges, laboratory investigations and others charges like nursing fee and registration charges. As our study site is a non government funded charitable hospital consultation is free of cost therefore we are not considered the consultation charges. It was found that hospital bed charges were the major contributor of total expenses (INR 75460). However, in Thiyagu38 et al. study higher charges in managing the adverse reactions were accounted for laboratory investigations. This disparity probably due to reason that major portion of the reported ADRs in Thiyagu et al study were hepatocellular damage. A total of 223 patients incurred some cost in managing their ADRs. This study observed that there was a wide variation in the cost incurred in the management of ADRs that rages between Rs 10 to Rs.7846/-. It was observed that as the severity of ADRs increased, the cost incurred in the management of ADRs also increased.

Presence of co morbid condition and drug-drug interaction and female gender were identified as risk factor for long-term and short-term ADRs in psychiatry. Adequately powered, prospective randomized controlled studies are needed to assess long term safety concerns. Until such studies have been carried out, clinicians are urged to exercise caution in using these drugs and rely on the traditional means of carefully assessing and monitoring patients.

Conclusion

The study finding suggested that one-third of patients with mental disorders developed ADRs. Also, ADRs cause a significant health and economic burden to patients with mental illness. As considerable number of ADRs were preventable, it is important to develop and implement strategies to overcome such adverse consequence in future. Intense monitoring of patients especially those received multiple medications for early detection and prevention of potential DDIs may result in improved therapeutic outcomes and decreased unnecessary healthcare expenditure.

Footnotes

Authors’ Contributions

Authors one and two contributed significantly towards the conception, design, analysis and interpretation of data and also drafting the article or revising it critically for important intellectual content. Author three and four contributed in interpretation of data, drafting the article, revising it critically for important intellectual content and final approval of the version to be published.

References

  • 1.Thomas A. Ban. Fifty years chlorpromazine: a historical perspective. Neuropsychiatr Dis Treat. 2007;3(4):495–500. [PMC free article] [PubMed] [Google Scholar]
  • 2.Simpson GM, Angus JWS. A rating scale for extrapyramidal side effects. Acta Psychiatr Scand. 1970;212:11–19. doi: 10.1111/j.1600-0447.1970.tb02066.x. [DOI] [PubMed] [Google Scholar]
  • 3.Shen WW. A history of antipsychotic drug development. Compr Psychiatry. 1999;40(6):407–414. doi: 10.1016/s0010-440x(99)90082-2. [DOI] [PubMed] [Google Scholar]
  • 4.Moore N, Bégaud B. Improving pharmacovigilance in Europe. BMJ. 2010;340:1694. doi: 10.1136/bmj.c1694. [DOI] [PubMed] [Google Scholar]
  • 5.Tarun J, Anil B, Veerma R, Manish P, Pranay W, Anantha N. Drug interactions and adverse drug reactions in hospitalized psychiatric patients. German J Psychiatry. 2011;14:26–34. [Google Scholar]
  • 6.Ravi P, Rajkumar, George M. Pharmacovigilance for psychiatrists: An introduction. Indian J Psychiatry. 2014;56(2):176–181. doi: 10.4103/0019-5545.130502. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7.March JS, Silva SG, Compton S, Shapiro M, Califf R, Krishnan R. The case for practical clinical trials in psychiatry. Am J Psychiatry. 2005;162:836–846. doi: 10.1176/appi.ajp.162.5.836. [DOI] [PubMed] [Google Scholar]
  • 8.Pantelis C, Lambert TJ. Managing patients with “treatment-resistant” schizophrenia. Med J Aust. 2003;178:62–66. doi: 10.5694/j.1326-5377.2003.tb05310.x. [DOI] [PubMed] [Google Scholar]
  • 9.Fleck MP, Horvath E. Pharmacologic management of difficult-to-treat depression in clinical practice. Psychiatr Serv. 2005;56:1005–1011. doi: 10.1176/appi.ps.56.8.1005. [DOI] [PubMed] [Google Scholar]
  • 10.Rittmannsberger H, Meise U, Schauflinger K, Horvath E, Donat H, Hinterhuber H. Polypharmacy in psychiatric treatment: Patterns of psychotropic drug use in Austrian psychiatric clinics. Eur Psychiatry. 1999;14:33–40. doi: 10.1016/s0924-9338(99)80713-5. [DOI] [PubMed] [Google Scholar]
  • 11.Sachdev Yadav. Status of adverse drug reaction monitoring and pharmacovigilance in selected countries. Indian J Pharmacol. 2008;40:S4–S9. [PMC free article] [PubMed] [Google Scholar]
  • 12.Michele T, Andela AG, Bethany D, Shahidha S. Adverse drug reactions in hospitalized psychiatric patients. Ann Pharmacother. 2010;44:819–825. doi: 10.1345/aph.1M746. [DOI] [PubMed] [Google Scholar]
  • 13.Luppa A, Nelson AL, Elliott E, Roger WS. Adverse drug reaction a retrospective review of hospitalized patients at a state psychiatric hospital. Hosp Pharm. 2013;48(11):931–935. doi: 10.1310/hpj4811-931. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14.Kuruvilla A, Kuruvilla K. Incidence of adverse reaction to commonly prescribed psychopharmacological agents during early phase of therapy. Indian J Psychiatry. 1995;37(3):113–118. [PMC free article] [PubMed] [Google Scholar]
  • 15.Wolf B, Grohmann R, Schmidt LG, Ruther E. Psychiatric admissions due to adverse drug reactions. Compr Psychiatry. 1989;30(6):534–545. doi: 10.1016/0010-440x(89)90084-9. [DOI] [PubMed] [Google Scholar]
  • 16.Schmidt LG, Grohmann R, Helmchen H, Langscheid-Schmidt K, Muller-Oerlinghausen B, Poser W et al. Adverse drug reactions. An epidemiological study at psychiatric hospitals. Acta Psychiatr Scand. 1984;70:77–89. doi: 10.1111/j.1600-0447.1984.tb01185.x. [DOI] [PubMed] [Google Scholar]
  • 17.Benjamine CG, Jeffry MR, Robet G, David WB. What do we know about medication errors in inpatient psychiatry joint commission. J Qual & safety. 2003;29(8):391–400. doi: 10.1016/s1549-3741(03)29047-x. [DOI] [PubMed] [Google Scholar]
  • 18.Shah LP, Ayyar KS, Agrawal BR, Pradhavan PV, Bagadia VN, Gupta KC. Drug survilance programme in psychiatry adverse drug reactions. Indian J Psychiatry. 1983;25(3):229–234. [PMC free article] [PubMed] [Google Scholar]
  • 19.Nikicia MS, Selma A, Darko K, Viola M, Sasa Z, Kresimir B et al. Adverse drug reactions to psychopharmacy. Psychitria Danubina. 2010;22(3):441–445. [Google Scholar]
  • 20.Grohmann R, Hippius H, Helmchen H, Rüther E, Schmidt LG. The AMUP study for drug surveillance in psychiatry; a summary of inpatient data. Pharmacopsychiatry. 2004;37:S16–S26. doi: 10.1055/s-2004-815507. [DOI] [PubMed] [Google Scholar]
  • 21.Kingshuk L, Harsha MS, Amith P, Gyaneshwar S. Adverse drug reaction monitoring of antipsychotics, antidepressants and mood stabilizers in the psychiatric Outpatient unit of a teaching hospital - a retrospective study. Int J Pharm and Bio Sciences. 2012;3:470–478. [Google Scholar]
  • 22.Carlini AE, Nappo AS. The pharmacovigilance of psychoactive agents in Brazil. Rev Bras Psiquiat. 2003;25(4):200–205. doi: 10.1590/s1516-44462003000400004. [DOI] [PubMed] [Google Scholar]
  • 23.Mary VS. Gender differences in the prescribing of antipsychotic drugs. Am J Psychiatry. 2004;161:1324–1333. doi: 10.1176/appi.ajp.161.8.1324. [DOI] [PubMed] [Google Scholar]
  • 24.Rodenburg EM, Stricker BH, Visser LE. Sex-related differences in hospital admissions attributed to adverse drug reactions in the Netherlands. Br J Clin Pharmacol. 2011;71(1):95–104. doi: 10.1111/j.1365-2125.2010.03811.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 25.Kiran LJ, Shivashankaramurthy KG, Bhooma S, Dinakar K. Adverse drug reaction reporting among clinicians in a teaching hospital in South Karnataka. Sch J App Med Sci. 2014;2(1D):399–403. [Google Scholar]
  • 26.Sriram S, Ghasemi A, Ramasamy R, Manjula Devi, Balasubramanian M, Ravi T et al. Prevalence of adverse drug reactions at a private tertiary care hospital in south India. Res Med Sci. 2011;16(1):16–25. [PMC free article] [PubMed] [Google Scholar]
  • 27.Arulmani R, Rajendran SD, Suresh B. Adverse drug reaction monitoring in a secondary care hospital in South India. Br J Clin Pharmacol. 2008;65(2):210–216. doi: 10.1111/j.1365-2125.2007.02993.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 28.Sengupta G, Bhowmick S, Hazra A, Datta A, Rahaman M. Adverse drug reaction monitoring in psychiatry out-patient department of an Indian teaching hospital. Indian J Pharmacol. 2011;43:36–39. doi: 10.4103/0253-7613.75664. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 29.Mario IO, Héctor AP, Eduardo F, Arturo M et al. Pharmacovigilance of psychoactive medications in a Mexican psychiatric hospital. Proc West Pharmacol Soc. 2010;53:44–45. [PubMed] [Google Scholar]
  • 30.Kiran G, Piparva J, Buch G, Kalpesh V. Chandrani. Analysis of adverse drug reactions of atypical antipsychotic drugs in psychiatry OPD. Indian J Psychol Med. 2011;33(2):153–157. doi: 10.4103/0253-7176.92067. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 31.Cassano P, Fava M. Tolerability issues during long-term treatment with antidepressants. Ann Clin Psychiatry. 2004;16(1):15–25. doi: 10.1080/10401230490281618. [DOI] [PubMed] [Google Scholar]
  • 32.Carl Sherman. Long term side effects surface with SSRI. Clin Psy News. 1998;26(5):1–4. [Google Scholar]
  • 33.Jonson JA, Bootman JL. Drug related morbidity and mortality a cost of illness model. Arch Intern Med. 1995;155:1949–1956. [PubMed] [Google Scholar]
  • 34.Asawari R, Arundhati D, Chintan P, Palak P, Atmaram P. Incidence, severity and financial burden associated with adverse drug reactions in medicine inpatients. Asian J Pharm ClIn Res. 2011;4:103–111. [Google Scholar]
  • 35.Smita P, Punit D, Promila P. Evaluation of cost of treatment of drug-related events in a tertiary care public sector hospital in Northern India: a prospective study. Br J Clin Pharmacol. 2009;67(3):363–369. doi: 10.1111/j.1365-2125.2008.03346.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 36.Ramesh M, Jayesh P, Parthasarathy G. Adverse drug reactions in a South Indian hospital—their severity and cost involved. Pharmacoepidem DR. 2003;12:687–692. doi: 10.1002/pds.871. [DOI] [PubMed] [Google Scholar]
  • 37.Sonal M, Sekhar C, Adheena M, Nishana AH. Study on drug related hospital admissions in a tertiary care hospital in South India. Soudhi pharm J. 2011;19(4):273–278. doi: 10.1016/j.jsps.2011.04.004. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 38.Thiyagu R, Surulivelrajan M, Vasudeva G, Asha K. Cost of adverse drug reaction in a south Indian tertiary care teaching hospital. Journal of clinical pharmacology. 2012;52:559–565. doi: 10.1177/0091270011398867. [DOI] [PubMed] [Google Scholar]

Articles from Psychopharmacology Bulletin are provided here courtesy of MedWorks Media Inc.

RESOURCES