Tarutani, Kikuyama, Ohta, Kanazawa, Okamura, and Yoneda: Association between Medication Adherence and Duration of Outpatient Treatment in Patients with Schizophrenia

Abstract

Objective

Medication adherence is important in the treatment of schizophrenia, and critical periods during treatment may be associated with relapse. However, the relationship between adherence and duration of outpatient treatment (DOT) remains unclear. The authors aimed to clarify the relationship between adherence and DOT at a psychiatric hospital in Japan.

Methods

For outpatients with schizophrenia who regularly visit Shin-Abuyama hospital, the authors conducted a single questionnaire survey (five questions covering gender, age, DOT, medication shortages, and residual medication) over one month period. Participants were divided into two groups whether DOT were from more than one year to within five years or not. Mantel-Haenszel analysis and logistic regression analysis were performed on the data regarding the medication adherence.

Results

Effective answers were received for 328 patients. The residual medication rate was significantly higher among those receiving outpatient treatment from more than one year to within five years than five years than those receiving outpatient treatment for more than five years or less than one year (p=0.016).

Conclusion

This survey suggests that there are critical periods during which patients are most prone to poor adherence. Because poor adherence increases the risk of relapse, specific measures must be taken to improve adherence during these periods.

INTRODUCTION

Schizophrenia is one of the most famous and serious diseases in psychiatric field. Despite of many efforts which human try to understand the principle with many ways, we haven't get all yet. Only we know that this disease is hard to cure and needs continuous treatment. We psychiatrists know that one of the aims of treatment for patients with schizophrenia is prevention of relapse or readmission.
Relapse in patients with schizophrenia is closely related to medication adherence,123 which itself has many influences.45 To date, numerous reports have considered different ways of checking medication adherence, including patient questioning, relative questioning, medication adherence rating, electronic monitoring using MEMS (Medication Event Monitoring System),678 pill counting, and injection counting.910
Several disparate factors are relevant to medication adherence. Antipsychotics are clearly effective in the treatment of schizophrenia,11 second-generation antipsychotics appear to benefit from superior adherence rates1213141516 and medication adherence is also dependent on the type and formulation of the medicine used.1718 Additionally, adherence may be poor because many patients with schizophrenia often begin treatment against their will,219 and may not have had the purpose of their treatment explained to them.20 Financial incentives, hope, and a recovery attitude are needed to maintain motivation during treatment.2122 Particularly during involuntary treatment, the law of effect suggests that a favorable outcome would strengthen the action that produced it.23 Thus, collaborative management in the sharing of therapeutic targets and understanding patient motivation is key, raising the significance of self-reporting.
As mentioned above, since the treatment of patients with schizophrenia often commences at involuntary admission, intensive outpatient care is needed to prevent a reduction in adherence.24 Tiihonen found that the mortality rate among patients with schizophrenia on antipsychotic medication was low in the 0–0.5 years period (HR 0.35). After that period, it worsened particularly in 0.5–2.0 years and was gradually better until 5.0 years. Further, it became lowest in 5.0–7.0 years (HR 0.73). In other words, risk of death became lower in bimodal both in 0–0.5 years and 5.0–7.0 years.25 Moreover, Robinson reported that the risk of relapse was 16.2% within 1 year, 37.5% in 1–2 years, 9.4% in 2–3 years, 11.6% in 3–4 years and 7.2% in 4–5 years.26 It showed the same trend as Tiihonen's report; risk of relapse also became in bimodal. It became higher after one year of onset and lower the closer to five years.
Therefore, they suggest that adherence is good within the first year of treatment, but worsens over the subsequent 1–5 years. This is an important hypothesis, which to the best of our knowledge has not yet been addressed in the literature. The present cross-sectional study was therefore performed to clarify whether the reduced adherence observed at 1–5 years after the initiation of the treatment is helpful in the clinical setting. On the basis of these factors, we conducted a single questionnaire survey to identify opinions of outpatients with schizophrenia at our hospital.

METHODS

To clarify the relationship between medication adherence and the duration of outpatient treatment (DOT) at our hospital, we conducted a cross-sectional study using a single questionnaire survey among outpatients with schizophrenia who regularly attended our hospital.
The relationship between medication adherence and DOT was set as a primary endpoint. A secondary endpoint was identification of the factors influencing adherence, as analyzed using a regression model.

Subjects

Outpatients with schizophrenia at our hospital who attended regular outpatient appointments were invited to participate in this questionnaire-based survey. The study was conducted for four weeks between January 10 and February 6, 2012, which is the shortest interval typically used by us for outpatient review. Schizophrenia was diagnosed based on code F20 of the International Classification of Diseases, Tenth Revision (ICD-10).27 The questionnaire was based on that of the National Federation of Mental Health and Welfare Party in Japan.28 We set five questions covering gender, age, DOT at our hospital, medication shortages, and residual medication.
Consecutive patients were recruited after they had seen their doctor, in order to reduce the effect of reporting bias. They were provided with a verbal explanation together with a written brief regarding the design of the study. Consent to participate was then obtained verbally from the patients. The enrolled participants were asked to complete the questionnaire anonymously; the questionnaires were collected immediately upon completion, and consent was assumed at that point. The institutional review board of Shin-Abuyama Hospital, Osaka Institute of Clinical Psychiatry approved the use of this survey. Questionnaires were kept securely and processed so that patient identification was not possible.

Questionnaire variables

Responses to questions about gender and age were required for effective answers because age may be related to the DOT and gender is a known prognostic factor in schizophrenia.
We set a question with four choices: less than one year (<1 year); one year or more to fewer than five years (1–5 years); five years or more to fewer than 10 years (5–10 years); and 10 years or more (≥10 years). A multiple-choice question was chosen to stratify the answers and to encourage more accurate reporting by participants.
The terms "medication shortage" and "residual medication" are sometimes used to describe situations in which patients were taking too many or too few medications, respectively. However, since these situations can be affected by many factors in patients with schizophrenia, we defined them as "medication shortage"/"residual medication" from any cause, according to the self-reporting dichotomous response of "yes or no" on the questionnaire.

Analysis of the critical period for adherence

To analyze the relationship between the DOT and medication shortages or residuals, we formed two categorical data groups based on the DOT: a "core period" group (1–5 years), and an "other" group (<1 year or ≥5 years). Our rationale was that the critical period for medication adherence in patients with schizophrenia occurs between one and five years from diagnosis.26 However, because of changes in where patients received treatment, the precise time of onset was not always known and could have resulted in reporting bias. Therefore, we used the DOT at our hospital as a surrogate marker of duration from onset to provide an objective indicator of adherence.

Statistical analysis

Frequencies and proportions were provided for all categorical data. The mean and standard deviation (SD) or the median and range were provided for quantitative data. We applied the Pearson χ2 test to determine the relationship between outpatient treatment duration and the rate of medication shortage or residual medication. Gender was analyzed as a stratification factor by Mantel-Haenszel analysis, which provided odds ratio (OR) for the categorical data, with 95% confidence intervals (CI). When analyzing the outpatient treatment duration and the medication shortages or residuals, we considered all responses to be effective answers.
In the analysis using a logistic regression model to identify predictors affecting poor adherence, medication shortage or residual medication were adopted as dependent variables, and gender, age, and DOT as independent variables. The patients were stratified into the following age groups: <30 years, 30–39 years, 40–49 years, 50–59 years, and ≥60 years. Since only three of the patients were younger than 20 years, their data were pooled together with those from the <30-years age group.
p-values<0.05 were accepted as indicating significance, and all were two-tailed. All statistical analyses were performed using IBM SPSS Statistics version 19 for Mac (Chicago, IL, USA).

RESULTS

In total, 377 patients with schizophrenia visited our hospital for treatment within the research period, of which 330 agreed to participate. However, effective answers were only received for 328 patients, providing a response rate of 87%. Of these, 65% (246/377) have continued to visit our hospital since onset. In addition, adding patients who visited our hospital more than five years (i.e., they had already experienced more than five years from onset), 76% (286/377) of them met classification criteria.
Table 1 summarizes the data for gender, age, DOT, and the medication shortages or residuals in the final sample. The numbers of males and females were comparable but the age of females tended to be significantly higher (Mann Whitney test, p<0.001). There were 321, 319 and 319 effective answers to the questions about outpatient treatment duration, medication shortages, and residual medication, respectively. As demonstrated, 7% (24/321) had medication shortages, 41% (132/319) had residual medication, and 44% (140/319) had both medication shortages and residuals.
Table 2 shows the results of the χ2 test between the DOT at our hospital and medication shortages (318 effective answers). The core period group (1–5 years) comprised 91 patients, of which 84 had no drug shortages and seven did. The other group (<1 year or ≥5 years) was comprised of 227 patients, of which 210 had no drug shortages and 17 did. There were no significant differences between the results (χ2=0.004, df=1, p=0.951). And it shows the χ2 test between the DOT and residual medication (316 effective answers). The core period group comprised 91 patients, of which 47 had residual drugs and 44 did not. The other group contained 225 patients, of which 83 had residual drugs, and 142 did not. There was a significant difference between the groups (χ2=5.829, df=1, p=0.016) that remained after stratification by gender (OR 1.83, 95% CI 1.12–2.99, p=0.016) (Figure 1).
And Table 2 shows the results of the χ2 test between the DOT and the medication shortages and residuals (316 effective answers). The core period group comprised 91 patients, of which 48 patients had medication shortages or residuals, but 43 did not; the corresponding values for the other group were 225 (total), 90 (yes), and 135 (no). The ratio of medication shortages and residuals was significantly higher in the core period group (χ2=4.280, df=1, p=0.039). Significance remained after stratification by gender (OR 1.67, 95% CI 1.02–2.73, p=0.040) (Figure 2).
The results of the logistic regression analysis to identify predictors affecting poor adherence are presented in Table 3. Although none of the independent variables exhibited statistical significance, there tended to be an increased risk of poor adherence among those with a DOT of 1–5 years (OR 1.602, 95% CI=0.961–2.670, p=0.071).

DISCUSSION

We used a cross-sectional, questionnaire-based survey to determine if there was an association between the DOT at our hospital and residual medication among outpatients with schizophrenia. In this survey, since 65% of all patients with schizophrenia who visited our hospital within research period visited from onset and 76% of them met classification criteria. Therefore, it might be suggested that "DOT from onset" and "DOT at our hospital" were considered to be similar in this survey. There was evidence of an association between outpatients with schizophrenia visiting our hospital during the core period (1–5 years) and not taking medications, as indicated by the rate of residual medications during this time.
Approximately 40% of patients with schizophrenia are reported to have poor adherence,29 which is comparable to our data. Additionally, studies have reported that medication adherence and relapse are correlated, particularly during critical periods30 between one and five years after the onset of schizophrenia.26 Many studies have reported a relationship between relapse after clinical response to medication after the first episode of schizophrenia or schizoaffective disorder, but few have considered the relationship between adherence and DOT at a single institute. This may be partially due to different medical models operating throughout the world, such as the universalistic, social insurance, and market-oriented models.
Our results revealed a significantly high rate of residual medication in the core period group, which corresponded to the critical period previously reported, suggesting that poor adherence in this period has some relationship with relapse of schizophrenia, regardless of gender. This stresses the importance of treatment early in the course of the disease. Moreover, the critical period may be particularly important because it often represents a period when the patient starts to accept life with schizophrenia and moves from involuntary treatment to self-actualization. While the regression analysis yielded no statistical significance, the data show that there tended to be an increased risk of poor adherence with a DOT of 1–5 years. A larger sample size would improve the statistical power of this data. The data support the hypothesis that medication adherence among schizophrenic patients is reduced after a DOT of 1–5 years.
Although at least 21 days are normally required for habituation of behavior,31 more time may be needed to habituate following a significant event or task. Habit is defined as a learned behavioral response that has become associated with a particular situation, especially one that is frequently repeated.32 Assuming that clinical deterioration in schizophrenia is not fixed, it may be that it takes 1–5 years for patients to habituate to medication that was initiated on an involuntary basis.
Over 82% of patients with schizophrenia regularly visit hospital at 4-week intervals for outpatient treatment,28 and many with unstable conditions visit every 2–4 weeks. The response rate of 87% to this survey may reflect outpatients with unstable illness. It is essential that we objectively evaluate the DOT significantly related to adherence. Although the duration of untreated psychosis is a useful predictor of outcome,333435 evaluator and reporting biases remain important issues. In addition, it can be very difficult to identify the precise time of onset of symptomatic relapse, which is an important social predictor. Differences in evaluating the time of onset of subjective and objective symptoms can be caused by differences in the therapeutic relationship, available support systems, cultural backgrounds and protective factors.36
It is important to offer appropriate biological pharmacotherapy. The choice of antipsychotic is recognized to be a central problem in non-adherence and subsequent relapse. We can no longer ignore the fact that second-generation antipsychotics have superior adherence, and that long-acting depot injections offer alternative definitive treatment.1737 Equally, we must remember that these do not solve the fundamental issues with non-adherence.
Psychotherapy is also important for patients with schizophrenia. Indeed, psychoeducation,38 social-skill training,3940 cognitive remediation therapy,41 and cognitive behavioral group therapy4243 have all proven effective. The distribution and efficacy of these structured programs in Japan is hard to qualify. Despite the presence of 24980 clinical psychologists in Japan in 2013,44 the Japanese government does not provide a recognized national qualification and does not allow or fund acute-care psychotherapy. In contrast, there are about 18549 chartered psychologists in the UK in 2013 and 106500 practicing psychologists in the US in 2012.4546 Therefore, staff assignment may be very different from that in the UK and the US.
Social assistance is available for patients in Japan during specific treatment periods. However, this does not specify continual visitation to a specific mental health institution. Thus, when treatment difficulties occur or patients become frustrated, they can readily change where they receive treatment. Coupled with the fact that medical institutions do not share a common reporting format, it can be difficult to share patient information concerning disease onset.
Hospitalization and follow-up are ongoing issues with research into relapse rates. Many reports have stated that relapse of schizophrenia requires hospitalization.47 However, when patients are free to decide on which institution to attend, there can be a loss in follow-up because it becomes impractical to find the details of other admissions. In countries with a social insurance model, the medical system encourages freedom of choice and personal responsibility. However, in October 2011, private mental health institutions in Japan were chosen 18 times more often than public mental health institutions.48 Furthermore, economic costs are sometimes more pressing than the provision of mental healthcare services in many non-specialist medical institutions that offer a greater range of services. Under such situations, it is hard to say whether patient choice should be prioritized. Nevertheless, efforts are needed to integrated medical data in chronic diseases with each medical institution responsible for facilitating outpatient treatment continuation. National guidelines and budgets are urgently needed to resolve these issues.
As a cross-sectional survey, we were only able to discern the correlation between the DOT and medication adherence; it was not possible to determine a causal association.
In addition, in countries in which the social insurance model is adopted, under which patients can change hospital at will, it is difficult to obtain accurate onset data. Therefore, DOT was adopted in the present study as an objective indicator. Although the DOT of the present cases is not an accurate representation, we believe that our data partially indicate the practical DOT. Since we surveyed the patients only using a questionnaire, this represents one of the study limitations.
Furthermore, we did not use a formal letter of consent or obtain background data for the participants. Therefore, we did not compare basic participant information such as premorbid adjustment, age of onset, mode of onset, gender, duration of psychosis, schizophrenia subtype, primary negative symptoms, and extrapyramidal signs (e.g., tardive dyskinesia).49 However, there may have been less reporting bias and increased survey recovery rates as a result. Finally, we only included patients that visited one medical institution in this survey, with 13% of available patients not participating. Thus, important factors related to treatment continuation may have been missed. Considering this selection bias, the generalizability of the survey is limited. A future study should obtain more detailed stratification factors and perform analysis with logistic regression. Although there are various factors associated with poor prognosis, a common one may be related to continued visits to the same mental health institution. A multi-center study may therefore be warranted.
Medication adherence among outpatients with schizophrenia may be related to the DOT at a mental health institution, especially in countries that employ a social insurance model of healthcare. To encourage patients with schizophrenia to continue outpatient treatment over critical periods, it is vital to employ evidence-based management. Our survey suggests that we need to take specific measures to ensure patients have reduced risks of non-adherence during critical periods.

Acknowledgments

There are no funding sources for this study. And the authors declare no conflict of interest. We thank the nursing staff in outpatient department (Tamayo Danjo, Miki Kohri, Junko Umeno, Kinue Inoue, Yukie Shoji, Shizuko Nakatani, Naoko Kadota, and Yuriko Matsui) of Shin-Abuyama hospital for their efforts in collecting the questionnaires.

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Figure 1

The rate of residual medication. Pearson's χ2 test to determine the association with the period of outpatient treatment to "our" hospital and the ratio of the rest of prescribed drugs. And we analyzed gender as stratification factor in Mantel-Haenszel analysis. OR 1.83, 95% CI 1.12–2.99. *p=0.016.

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Figure 2

The rate of medication shortaages or residuals. Pearson's χ2 test to determine the association with the period of outpatient treatment to "our" hospital and the ratio of the rest of prescribed drugs. And we analyzed gender as stratification factor in Mantel-Haenszel analysis. OR 1.67, 95% CI 1.02–2.73. *p=0.040.

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Table 1

Basic participant response (N=328)

pi-13-413-i001

The response rate was 87% (328/377) or outpatients that regularly visited Shin-Abuyama Hospital. Effective answers were those questionnaires completed with data for sex and age

Table 2

Comparing the duration of outpatient treatment and medication shortages or residual medications

pi-13-413-i002
Table 3

Logistic regression analysis to identify predictors of poor medication adherence

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*p<0.1. DOT: duration of outpatient treatment, SE: standard error, CI: confidence interval