Abstract
Background
Off-label use of a drug not according to its regulatory labeling has become common in medicine, especially in the field of psychiatry. Mood stabilizers are intended to be used to attenuate mood fluctuations in bipolar disorder, but their use has spread to patients with schizophrenia, as it provides greater control of impulsivity and aggressiveness. Sodium valproate is one of the most frequently used mood stabilizers in psychiatry. This study determined the prevalence of off-label use of sodium valproate for schizophrenia and schizoaffective disorder in Abarbanel Psychiatric Hospital and the demographic and clinical characteristics associated with its use.
Methods
Retrospective study of patients hospitalized in 2011–2012 with a diagnosis of schizophrenia or schizoaffective disorder in one of three general psychiatric wards.
Results
Valproate use was significantly lower in the geriatric group (11.6% vs. 20.1%, chi square = 4.7, p = .03), in patients with schizophrenia (14.1% vs. schizoaffective disorder (35.2%), chi square = 29, p<.001) and in patients receiving both atypical and typical antipsychotics (23.3% vs. 16.4%, p = .04). In multivariate logistic regression analysis, diagnosis and the combination of atypical and typical antipsychotics predicted the use of sodium valproate. The number of other medications prescribed did not predict sodium valproate use.
Conclusions
Off-label use of sodium valproate in psychiatric patients with schizophrenia or schizoaffective disorder is extensive, especially in younger patients and those with schizoaffective disorder. More research is needed to determine whether it is being prescribed appropriately.
Introduction
Off-label use (OLU) – the use of a drug or a device for a purpose or in a manner outside its regulatory labeling – has become a common practice in many fields of medicine [1]. Radley et al. found that 21% of prescriptions given to patients in general office practices were for off-label indications [2]. Senior clinicians and regulators from a number of European countries and North America regard off-label prescribing as a necessary part of the art of medicine [3].
OLU is particularly common in psychiatry. The lack of clarity regarding the physiological basis for psychiatric disorders, the relative ineffectiveness (and sometimes troublesome side-effects) of various drugs and the symptoms shared by many of the disorders, have led physicians to use drugs approved for one disorder for one for which it is not approved [4]. Leslie et al. reported that more than half of psychiatrists surveyed routinely prescribed psychotropic medications off-label [5]. The phenomenon of off-label prescribing is so common that in some instances, psychiatrists are not aware that they are prescribing off-label [6].
Antipsychotics (typical and atypical) are still the cornerstone of schizophrenia treatment. Many individuals with schizophrenia require a combination of drugs, including different classes of drugs, such as antidepressants, anxiolytics, mood stabilizers and various other medications to treat the side-effects of the neuroleptic treatments. Polypharmacy is common. One-fifth to one-third of individuals with schizophrenia does not respond to antipsychotics [7].
Mood stabilizers are thus named because they attenuate the mood fluctuations of patients with bipolar disorder, but their usage has spread to other psychiatric conditions. Unlike the combination of atypical antipsychotics and mood stabilizers in bipolar disorder, the use of sodium valproate in patients with schizophrenia has limited empirical evidence [8], [9]. It therefore remains an off-label indication. Despite that, the use of mood stabilizers as augmentation therapy for schizophrenic patients has become widespread. The utilization rates of mood stabilizers in patients with schizophrenia range from 15% to almost 50% [1], [10]–[14].
Sodium valproate was originally developed as an anticonvulsant and was later approved for manic episodes associated with bipolar disorder [15], [16]. In the past decade, it became the most frequently prescribed mood stabilizer for patients with schizophrenia, with lithium lagging far behind [1], [10], [11], [14].
The goal of this study was to determine the prevalence of off-label sodium valproate prescription for schizophrenia and schizoaffective disorder in a major psychiatric hospital in Israel and to determine the demographic and clinical characteristics associated with its use.
Methods
This retrospective study was conducted at the Abarbanel Mental Health Center, the largest psychiatric facility in Israel, using a computerized database. This 300-bed academic hospital covers a population of approximately one million. It provides treatment for individuals with personality disorders, as well as neurotic, psychotic and organic conditions. In addition, the center offers out-patient services, psychiatric rehabilitation and long-term psychiatric day-care. Patients range in age from youth to the elderly.
Patients with a diagnosis of schizophrenia (ICD codes F.20–F.20.9) or schizoaffective disorder (ICD code F.25) hospitalized from 2011 through 2012 in a general ward for men or women or in a geriatric ward were included in this study. If a patient had both diagnoses, the most recent one was used. Patients were excluded if they had a concomitant diagnosis of epilepsy or bipolar disorder, both labeled indications for sodium valproate.
Data extracted from the electronic medical record system included age, gender, hospital admission and discharge dates, diagnosis and treatment. If a patient was hospitalized more than once within the study period, data from the most recent hospitalization were used. Medications used by the patients were grouped into the following categories: typical (first generation) antipsychotics, atypical (second generation) antipsychotics, antidepressants, anxiolytics, mood stabilizers (other than sodium valproate) and sodium valproate.
Ethics statement
The study was approved by the Abarbanel Hospital Ethics Review Board. The Ethics Review Board granted approval to review the patient records and extract the necessary data. The Ethics Review Board waived the need to obtain individual informed consent because the data were analyzed anonymously.
Measures
The number of drug types prescribed for a patient (other than sodium valproate) was calculated as a count of the five categories included in the study (typical antipsychotics, atypical antipsychotics, antidepressants, anxiolytics and mood stabilizers), yielding a scale ranging from 0 to 5. Antipsychotic polypharmacy (APP) was defined as a combination of typical with atypical antipsychotics. For logistic regression, dichotomous variables were used to analyze the effect of gender, ward and diagnosis.
Statistical Analysis
All statistical analyses were performed using the SPSS statistical software, version 20.0. The χ2 test for independence was carried out to examine the dependency between the diagnosis and the ward to the use of sodium valproate.
Logistic regression was used to examine gender, diagnosis, ward and number of drug types and APP as potential predictors of the use of sodium valproate. Odds ratios with 95% confidence intervals were calculated for each independent variable.
Results
Among approximately 1,300 hospitalizations, 604 individuals matched the inclusion and exclusion criteria, 253 in the men's ward, 230 in the women's ward and 121 in the geriatric ward. The average age of the patients was 45.9 (SD 14.7) years. The age range in the men's ward was 18 to 65 years, in the women's ward, 19 to 64 years and in the geriatric ward, from 60 to 85 years. Patient characteristics are presented in Table 1. A total of 482 (79.8%) were diagnosed with schizophrenia.
Table 1. Patient demographics and medications by ward.
| Characteristics | Ward | Total N = 604 | ||
| Men N = 253 | Women N = 230 | Geriatric N = 121 | ||
| Mean age [SD], (range), years | 38.8 [10.3] (18–65) | 42.5 [11.0] (19–64) | 67.3 [6.2] (60–85) | 45.9 [14.7] |
| Gender, % (n) | ||||
| Male | 100.0% (253) | 0.0% (0) | 49.6% (60) | 51.8% (313) |
| Female | 0.0% (0) | 100.0% (230) | 50.4% (61) | 48.2% (291) |
| Diagnosis, % (n) | ||||
| Schizophrenia | 86.6% (219) | 72.2% (176) | 80.2% (87) | 79.8% (482) |
| 1. Schizophrenia | 68.0% (172) | 53.0% (122) | 66.1% (80) | 61.9% (374) |
| 2. Paranoid | 3.6% (9) | 0.0% (0) | 0.0% (0) | 1.5% (9) |
| 3. Hebephrenic | 4.0% (10) | 10.4% (24) | 3.3% (4) | 6.3% (38) |
| 4. Catatonic | 0.4% (1) | 0.9% (2) | 0.0% (0) | 0.5% (3) |
| 5. Undifferentiated | 1.6% (4) | 0.4% (1) | 0.8% (1) | 1.0% (6) |
| 6. Residual | 4.7% (12) | 0.9% (2) | 8.3% (10) | 4.0% (24) |
| 7. Simple | 0.4% (1) | 0.0% (0) | 0.0% (0) | 0.2% (1) |
| 8. Unspecified | 4.0% (10) | 6.5% (15) | 1.7% (2) | 4.5% (27) |
| Schizoaffective disorder | 13.4% (34) | 27.8% (64) | 19.8% (24) | 20.2% (122) |
| 1. Schizoaffective disorders | 12.3% (31) | 21.7% (50) | 17.4% (21) | 16.9% (102) |
| 2. Depressive type | 0.0% (0) | 3.9% (9) | 0.0% (0) | 1.5% (9) |
| 3. Mixed type | 0.4% (1) | 1.7% (4) | 0.8% (1) | 1.0% (6) |
| 4. Unspecified | 0.8% (2) | 0.4% (1) | 1.7% (2) | 0.8% (5) |
| Drug/Drug types a , % (n) | ||||
| Sodium valproate | 20.9% (53) | 19.1% (44) | 11.6% (14) | 18.4% (111) |
| Typical antipsychotics b | 61.2% (155) | 77.8% (179) | 27.3% (33) | 60.8% (367) |
| Number | ||||
| 1 | 55.7% (141) | 64.8% (149) | 24.8% (30) | 53.0% (320) |
| 2 | 5.1% (13) | 12.6% (29) | 2.5% (3) | 7.5% (45) |
| 3 | 0.4% (1) | 0.4% (1) | 0.0% (0) | 0.3% (2) |
| Atypical antipsychotics c | 55.7% (141) | 65.6% (151) | 85.9% (104) | 65.6% (396) |
| Number | ||||
| 1 | 47.0% (119) | 54.3% (125) | 76.0% (92) | 55.6% (336) |
| 2 | 8.7% (22) | 11.3% (26) | 9.1% (11) | 9.8% (59) |
| 3 | 0.0% (0) | 0.0% (0) | 0.8% (1) | 0.2% (1) |
| Antidepressants d | 9.5% (24) | 3.9% (9) | 0.8% (1) | 5.6% (34) |
| Number | ||||
| 1 | 9.1% (23) | 3.5% (8) | 0.8% (1) | 5.3% (32) |
| 2 | 0.4% (1) | 0.4% (1) | 0.0% (0) | 0.3% (2) |
| Anxiolytics e | 58.9% (149) | 42.1% (97) | 23.4% (27) | 45.2% (273) |
| Number | ||||
| 1 | 57.3% (145) | 40.4% (93) | 20.7% (25) | 43.5% (263) |
| 2 | 1.6% (4) | 1.7% (4) | 1.7% (2) | 1.7% (10) |
| Mood stabilizers f | 8.7% (22) | 8.3% (79) | 9.9% (12) | 8.3% (53) |
| Number | ||||
| 1 | 8.3% (21) | 7.4% (17) | 9.9% (12) | 8.3% (50) |
| 2 | 0.4% (1) | 0.9% (2) | 0.0% (0) | 0.5% (3) |
| Sleeping pills g | 66.8% (169) | 34.8% (80) | 79.3% (96) | 57.1% (345) |
Totals might exceed 100% because some patients received more than one drug type.
chlorpromazine, flupentixol, fluphenazine, haloperidol, levomepromazine, penfluridol, perhphenazine, zuclopenthixol.
amisulpride, aripriprazole, asenapine, clotiapine, clozapine, olanzapine, paliperidone, palperidone, quetiepine, risperidone, sertindole, ziprasidone.
escitalopram, paroxetine, reboxetine, trazadone.
buspirone, clonazepam, diazepam, lorazepam, oxazepam.
carbamazepine, lamotrigine, lithium.
brotizolam, nitrazepam, zopiclone.
The most commonly prescribed medications were antipsychotics; over 97% of patients received at least one. Geriatric patients tended to receive atypical rather than typical antipsychotics (85.9% vs. 27.3% of patients), while use of typical antipsychotics was slightly more frequent in the general wards (69.2% typical vs. 60.4% atypical; Table 1).
The antipsychotics prescribed and frequencies are shown in Table 2. Of the atypical antipsychotics, clotiapine and olanzapine were most popular. There were differences in choice of typical antipsychotics on the men's and women's wards. Zuclopenthixol was most common on the men's ward and haloperidol in the women's ward. Although typical antipsychotics were infrequently used on the geriatrics ward, zuclopenthixol and haloperidol were favored.
Table 2. Types of antipsychotics by ward.
| Drug/generic | Ward | ||||
| Men N = 253 | Women N = 230 | Geriatric N = 121 | Total N = 604 | ||
| Typical antipsychotics | Chlorpromazine | 0.4% (1) | 1.7% (4) | 0.0% (0) | 0.8% (0) |
| Flupentixol | 0.0% (0) | 0.0% (0) | 0.8% (1) | 0.2% (1) | |
| Fluphenazine | 13.8% (35) | 17.4% (40) | 11.6% (14) | 14.7% (89) | |
| Haloperidol | 17.0% (43) | 38.7% (89) | 5.8% (7) | 23.0% (139) | |
| Levomepromazine | 1.2% (3) | 0.9% (2) | 0.0% (0) | 0.8% (5) | |
| Penfluridol | 0.0% (0) | 1.3% (3) | 0.8% (1) | 0.7% (4) | |
| Perhphenazine | 6.3% (16) | 13.5% (31) | 3.3% (4) | 8.4% (51) | |
| Zuclopenthixol | 28.5% (72) | 17.8% (41) | 7.4% (9) | 20.2% (122) | |
| Atypical antipsychotics | Amisulpride | 6.7% (17) | 2.6% (6) | 10.7% (13) | 6.0% (36) |
| Aripiprazole | 2.0% (5) | 0.9% (2) | 6.6% (8) | 2.5% (15) | |
| Asenapine | 0.8% (2) | 0.9% (2) | 0.8% (1) | 0.8% (5) | |
| Clotiapine | 16.6% (42) | 23.9% (55) | 6.6% (8) | 17.4% (105) | |
| Clozapine | 4.7% (12) | 1.3% (3) | 4.1% (5) | 3.3% (20) | |
| Olanzapine | 9.1% (23) | 29.6% (68) | 9.9% (12) | 17.1% (103) | |
| Paliperidone | 0.0% (0) | 0.4% (1) | 0.8% (1) | 0.3% (2) | |
| Palperidone | 3.6% (9) | 0.4% (1) | 19.8% (24) | 5.6% (34) | |
| Quetiepine | 7.9% (20) | 8.3% (19) | 5.8% (7) | 7.6% (46) | |
| Risperidone | 11.1% (28) | 7.8% (18) | 29.8% (36) | 13.6% (82) | |
| Sertindole | 0.4% (1) | 0.0% (0) | 0.0% (0) | 0.2% (1) | |
| Ziprasidone | 1.6% (4) | 0.9% (2) | 1.7% (2) | 1.3% (8) | |
On average, patients received 2.4 types of drugs (median 2) other than valproate. Patients in the general male and female wards received significantly more types of drugs (2.5±0.9 vs. 2.3±0.8, respectively; p = 0.017) than the geriatric patients (1.4±0.6; p<0.001). There was no difference between men and women in the number of drug types received. Whereas 31.6% of patients (N = 191) were prescribed only typical antipsychotic medications, 36.4% (N = 220) were prescribed only atypical antipsychotic medications and 29.1% received both typical and atypical antipsychotic medications (APP). Of those patients with APP, zuclopenthixol (36.9%, N = 65), haloperidol (34.1%, N = 60) and fluphenazine (21.6%, N = 38) were the most commonly prescribed typical antipsychotics. Of those receiving APP, the most common atypical antipsychotics prescribed were clotiapine (40.9%, N = 72), quetiepine (13.6%, N = 24) and amisulpride (8.0%, N = 14). At least one mood stabilizer, including sodium valproate was prescribed for 157 (26%) of the individuals included in the study.
Overall, 111 patients (18.4%) received sodium valproate. Frequencies and percentages of sodium valproate use by ward and diagnosis are shown in Table 1. There were no gender differences within the men's and women's wards between patients who received sodium valproate and those who did not (χ2 (1) = 0.618, p>0.05). Sodium valproate use was significantly more common in patients in the general wards (20.1%) than among the geriatric patients (11.6%; p<0.05) and in patients with schizoaffective disorder (35.2%) vs. schizophrenia (14.1%; p<0.001) (Table 3).
Table 3. Frequency and percentage of sodium valproate use by ward and diagnosis.
| Diagnosis | Ward | ||
| Men & Women % (N) | Geriatric % (N) | Totala % (N) | |
| Schizophrenia | 16.1% (62) N = 385 | 6.2% (6) N = 97 | 14.1% (68) N = 482 |
| Schizoaffective | 35.7% (35) N = 98 | 33.3% (8) N = 24 | 35.2% (43) N = 122 |
| Total b | 20.1% (97) N = 483 | 11.6% (14) N = 121 | 18.4% (111) N = 604 |
Significant dependency between ward and sodium valproate use: χ2 = 4.674, p = 0.031.
Significant dependency between diagnosis and sodium valproate use: χ2 (1df) = 29.0, p<0.001.
Sodium valproate use was similar among patients who received antipsychotics, antidepressants and anxiolytics, ranging between 14% and 22.2% (Table 4). It was also more commonly prescribed for patients receiving APP. Sodium valproate was combined with another mood stabilizer in seven patients.
Table 4. Frequency and percentage of sodium valproate use by number and type of drugs.
| Drug types | Prescribed sodium valproate % (N) |
| Typical antipsychotics N = 367 | 19.1% (70) |
| Number | |
| 1 (N = 320) | 18.8% (60) |
| 2 (N = 45) | 22.2% (10) |
| 3 (N = 2) | 0.0% (0) |
| Atypical antipsychotics N = 396 | 19.7% (78) |
| Number | |
| 1 (N = 336) | 19.0% (64) |
| 2 (N = 59) | 23.7% (14) |
| 3 (N = 1) | 0.0% (0) |
| Antidepressants N = 34 | 17.6% (6) |
| Number | |
| 1 (N = 32) | 18.8% (6) |
| 2 (N = 2) | 0.0% (0) |
| Anxiolytics N = 273 | 21.6% (59) |
| Number | |
| 1 (N = 263) | 22.1% (58) |
| 2 (N = 10) | 10.0% (1) |
| Mood stabilizers a N = 53 | 13.2% (7) |
| Number | |
| 1 (N = 50) | 14.0% (7) |
| 2 (N = 3) | 0.0% (0) |
| Sleeping Pills N = 345 | 17.4% (60) |
Other than sodium valproate.
In the logistic regressions, the odds ratios (OR) describing the relative risk of using sodium valproate with gender, diagnosis and ward were all greater than one (Tables 5 and 6). Diagnosis was associated with the highest risk estimate. Patients with a diagnosis of schizoaffective disorder were 3.7 times more likely to receive sodium valproate than those diagnosed with schizophrenia. Gender was not a significant predictor of sodium valproate use. The difference between the general and geriatric wards was not significant. The number of drug groups was not significant in predicting the use of sodium valproate (OR 1.14, 95% CI: 0.95–1.38; P = 0.151) (Table 5). However, in the logistic regression (Table 6) including gender, diagnosis, ward and APP, the use of APP was significant (OR = 1.63; 95% CI: 1.03–2.61; P = .04).
Table 5. Logistic regression predicting the use of sodium valproate by gender, ward, diagnosis and number of drugs.
| Variable | OR | 95% CI | P-value |
| Gender | 1.26 | (0.82–1.95) | 0.298 |
| Diagnosis | 3.55 | (2.22–5.65) | 0.000 |
| Ward | 1.81 | (0.97–3.39) | 0.062 |
| Number of drugs | 1.14 | (0.95–1.38) | 0.151 |
Table 6. Logistic regression predicting the use of sodium valproate by gender, diagnosis, ward and number of antipsychotics.
| Variable | OR | 95% CI | P-value |
| Gender | 1.45 | (0.92–2.27) | 0.108 |
| Diagnosis | 3.65 | (2.28–5.84) | 0.000 |
| Ward | 1.81 | (0.97–3.37) | 0.061 |
| APP | 1.63 | (1.03–2.61) | 0.039 |
Discussion
This study assessed the extent of off-label use of sodium valproate and APP in several wards in a major psychiatric facility in Israel. The rates of mood stabilizers and sodium valproate use were very similar to those reported in Asia (24% for mood stabilizers and 16.7% for sodium valproate), but lower than those reported in the US, where approximately half of schizophrenic patients received mood stabilizers and about a third received sodium valproate [1], [9], [10], [14]. In the New York State hospital system, in 1996, approximately half of all patients diagnosed with bipolar or schizoaffective disorder and 28% of all patients diagnosed with schizophrenia, were prescribed valproate. For patients with schizophrenia, that number increased to 35% by 2001 [10], [11]. In a cross-sectional survey of in-patients 18 to 65 years of age from the United Kingdom, 28.5% were receiving an off-label mood stabilizer [17]. Of those patients, 28.2% had a diagnosis of schizophrenia and 17% had a diagnosis of schizoaffective disorder. Thus, off-label use of mood stabilizers was very common in this population of inpatients with severe mental illness. These differences from the current study, where 14% and 35% of patients with schizophrenia and schizoaffective disorder, respectively received sodium valproate, might be due to differences in patient population and case-mix. Alternatively, it might reflect variations in the organizational or cultural approaches of the treating physicians to the management of schizophrenia and to the legitimacy of off-label use in general or of sodium valproate in particular. Of particular importance, in the United States, off-label use is not regulated, leaving decisions in the hands of the treating physician. In Israel, however, physicians must obtain permission to use a drug outside its label indication. Although the procedure for hospitalized patients does not require individual authorization for each patient, but rather grants comprehensive approval for all patients who require the medication for the requested indication, the very existence of such a process might increase physicians' awareness of its off-label status and deter use.
Unsurprisingly, use of sodium valproate was considerably more prevalent in patients with schizoaffective disorder. Schizoaffective disorder presents as an intermediate form of psychotic disorder between schizophrenia and bipolar disorder, although unipolar versions of schizoaffective disorder have been described [18], [19]. Therefore, treatment for patients with this disorder revolves around a combination of antipsychotics, for the psychotic symptoms and either anti-depressants or mood stabilizers for the affective symptoms [20], [21]. Affective symptoms are not dominant in patients with schizophrenia and mood stabilizers are generally used only for controlling impulsivity or violence or as augmentation for patients who are unresponsive to the usual treatment. Sodium valproate is used for individuals with schizophrenia with violent episodes, because it is reported to decrease aggression [22]. It is used in treatment of resistant schizophrenia because there is a great need for adjuncts to antipsychotic drugs [9]. Several studies have reported some evidence of efficacy [22]–[26]. It is understood that GABA-ergic drugs such as valproate have a potential role in the treatment of schizophrenia, as they down-regulate dopamine [27]. Mesolimbic dopamine hyperactivity is considered one of the main reasons for the development of positive symptoms in schizophrenia. It should be noted that despite the lack of hard evidence of effectiveness for either indication, mood stabilizers are recommended for schizoaffective disorder, but not for schizophrenia. However, it can be difficult to differentiate the two disorders. Even the distinction between schizophrenia and bipolar disorder has been challenged based on findings of a partially shared genetic susceptibility pattern. In addition, psychotic symptoms are prevalent in mania and affective symptoms are common in patients with schizophrenia [28].
In this study, the use of sodium valproate was almost twice as common in patients in the general wards as among the geriatric patients. This is similar to other reports, where patients treated with mood stabilizers and/or sodium valproate were on average younger [1], [14]. It is possible that younger patients have more positive symptoms and an increased likelihood of aggressive or impulsive behavior, requiring the addition of mood stabilizers to their treatment. Alternatively, the relation between age and ward may not be direct. It is possible that the difference is not related to the age of the individual patients per se, but rather to different management of psychiatric disorders in geriatric wards. Given the physiological (and pathological) changes associated with aging, it is logical to avoid, if possible, polypharmacy and drugs with a narrow therapeutic range in this age group. Moreover, studies have found an increase in adverse events (falls, infection, gastrointestinal disorders) among patients treated with sodium valproate [29].
Previous studies have shown a relationship between indicators for disease severity or patient violence and the use of mood stabilizers. Sim et al. [14] reported a correlation with aggression and antipsychotic polytherapy and Pickar et al. [1] reported a correlation with a history of violence and higher Positive and Negative Syndrome Scale general psychopathology scores. This study did not find a correlation with the number of non-valproate drug types. The use of multiple types of drugs may not be a good stand-in for disease severity (i.e. used for augmentation), but rather reflects the different clinical symptoms a patient manifests. However, use of APP, the combined use of typical and atypical antipsychotics, was associated with valproate use. We found a prevalence rate of APP of 36.4%. This is higher than the prevalence reported in North America (16%), Oceania (16.4%), and Europe (23%), but comparable to that of Asia (32%) [30].
The use of APP is generally discouraged and guidelines suggest it should only be used as a last resort after clozapine (the standard of care for treatment of refractory psychotic illness) [31]–[36]. This is because, in addition to the lack of evidence base, the implications and consequences (side effects, dosage, interactions, etc.) are unknown. In this context, it is also worth noting that clozapine was infrequently prescribed (3.3%, N = 20). We suggest that use of APP is an indicator of refractory psychotic illness and therefore associated with valproate use. Alternatively, its use may reflect a predisposition by the prescribing doctor to use non-evidence-based treatments.
An interesting, although unrelated finding was the significant difference in the use of typical and atypical antipsychotics between general and geriatric patients. Atypical antipsychotics are more effective in treating negative symptoms, which are more commonly found in elderly patients with schizophrenia [37]. Typical and atypical antipsychotics also have vastly different safety profiles. The most significant side-effects of typical neuroleptics are neurological, while atypical neuroleptics are known to cause metabolic changes, including obesity, hyperlipidemia and diabetes. Because geriatric patients require lower doses of the atypical antipsychotics, the side-effects occur less frequently. For the elderly, the most frequently reported adverse side-effects were extrapyramidal symptoms. In most cases, the atypical antipsychotics had fewer extrapyramidal symptoms than did typical antipsychotics [38].
The preponderance of off-label use of sodium valproate for schizophrenia and schizoaffective disorder can have significant clinical and economic effects. Currently, there is no robust evidence regarding the effectiveness of sodium valproate in the standard treatment of these disorders [29]. Therefore, it is possible that, for some of those patients, adding it to their treatment regimen does not confer benefits, but rather exposes them to potential harm. While there is evidence that adding sodium valproate can benefit the most severe and unmanageable patients, it is unclear whether this reason alone can account for the rate of use found in this study.
Adding sodium valproate increases the costs for medications for schizophrenia, but to date there is no evidence that it reduces other expenditures, such as those related to hospitalizations [39]. Furthermore, in healthcare settings such as in Israel, where healthcare providers (Health Maintenance Organizations) are in part budgeted according to the expected utilization of medical technologies, off-label use adds a new, unplanned, and therefore unbudgeted population of users. While sodium valproate is an inexpensive drug, the prevalence of schizophrenia means that its addition can have a considerable impact on a provider's budget. This may also be true of APP. In addition to the paucity of clinical evidence supporting both practices, there is considerable concern and uncertainty regarding possible increases in side effects, higher than necessary (or approved) total dosage, drug-drug interactions, increased mortality and cost involved [30].
Limitations
This study has several limitations. First, data was collected from three wards in one hospital, and therefore the findings might not be generalizable, especially to schizophrenic patients in the community. Secondly, the data available in the database system used is more administrative than clinical, which limits the ability to truly appreciate and refine the correlation between patients' clinical status and sodium valproate use. This includes a lack of medical history in order to understand the number of changes in medications before utilizing off-label options. In addition, diagnoses were based on the diagnosis entered by the treating physician in the patient record system according to ICD diagnostic criteria and not on diagnostic interviews. However, such broad determinations may be more useful for health policy and management purposes.
Conclusions
Our data indicate that further study is necessary to determine the clinical considerations behind the use of sodium valproate in patients with psychotic disorders in Israel. Given the limited efficacy evidence available, more research is necessary to determine whether it is being prescribed appropriately for patients with schizoaffective disorder and for those with treatment-resistant schizophrenia.
Funding Statement
The authors have no support or funding to report.
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