Descriptions and Correlates of Medication Adherence, Attitudes, and Self-Efficacy in Outpatients With Schizophrenia Spectrum Disorders (SSDs)

A Hybrid Type 1 trial of a multi-component mHealth intervention to improve post-hospital transitions of care for patients with serious mental illness: Study protocol

BACKGROUND

The transition from acute (e.g., psychiatric hospitalization) to outpatient care is associated with increased risk for rehospitalization, treatment disengagement, and suicide among people with serious mental illness (SMI). Mobile interventions (i.e., mHealth) have the potential to increase monitoring and improve coping post-acute care for this population. This protocol paper describes a Hybrid Type 1 effectiveness-implementation study, in which a randomized controlled trial will be conducted to determine the effectiveness of a multi-component mHealth intervention (tFOCUS) for improving outcomes for adults with SMI transitioning from acute to outpatient care.

METHODS

Adults meeting criteria for schizophrenia-spectrum or major mood disorders (n = 180) will be recruited from a psychiatric hospital and randomized to treatment-as-usual (TAU) plus standard discharge planning and aftercare (CHECK-IN) or TAU plus tFOCUS. tFOCUS is a 12-week intervention, consisting of: (a) a patient-facing mHealth smartphone app with daily self-assessment prompts and targeted coping strategies; (b) a clinician-facing web dashboard; and, (c) mHealth aftercare advisors, who will conduct brief post-hospital clinical calls with patients (e.g., safety concerns, treatment engagement) and encourage app use. Follow-ups will be conducted at 6-, 12-, and 24-weeks post-discharge to assess primary and secondary outcomes, as well as target mechanisms. We also will assess barriers and facilitators to future implementation of tFOCUS via qualitative interviews of stakeholders and input from a Community Advisory Board throughout the project.

CONCLUSIONS

Information gathered during this project, in combination with successful study outcomes, will inform a potential tFOCUS intervention scale-up across a range of psychiatric hospitals and healthcare systems.

CLINICALTRIALS

govregistration: NCT05703412.

The Effect of Shared Decision-Making by Mental Health Nurses on Medication Adherence in Patients with Alcohol Use Disorders: Provider-Patient Communication Pathway Model

The involvement of patients with mental health issues in their own treatment decision-making has often been overlooked. This study aimed to investigate the impact of shared decision-making between mental health nurses and patients with alcohol use disorders (AUD) on medication adherence. The provider-patient communication pathway model was utilized to examine the ways in which therapeutic communication strategies employed by mental health nurses positively influence medication adherence. The study employed a percentile bootstrap method and pairwise comparison tests in structural equation modeling. The results revealed that shared decision-making between AUD patients and mental health nurses directly enhanced medication adherence, as well as indirectly influenced adherence through the mediating factors of therapeutic alliance and alcohol abstinence self-efficacy. These findings hold both theoretical and practical implications for involving patients with AUD in therapeutic decision-making within psychiatric and mental health nursing settings, as well as for improving medication adherence among this patient population.

Drug Attitude and Medication Adherence of Patients with Early Psychosis in South Korea: Mediating Effect of Medication Adherence Self-Efficacy

Purpose

This study examined the mediating effect of medication adherence self-efficacy (MASE) on the relationship between drug attitude (DA) and medication adherence (MA) in patients with early psychosis.

Patients and Methods

A total of 166 patients, aged 20 years or older, and who had received treatment within 5 years of their initial psychotic episode at a University Hospital outpatient center, participated in the study. Data were analyzed using descriptive statistics, t-tests, one-way analysis of variance, Pearson's correlation coefficients, and multiple linear regression. Additionally, a bootstrapping test was conducted to determine the statistical significance of the mediating effect. All study procedures adhered to Strengthening the reporting of observational studies in epidemiology (STROBE) guidelines.

Results

This study found a significant correlation between MA and DA (r=0.393, p<0.001), and between MA and MASE (r=0.697, p<0.001). MASE had a partial mediating effect on the association between DA and MA. The model that integrated both DA and MASE accounted for 53.4% of the variation in MA. Bootstrapping analysis indicated that MASE was a significant partial parameter (lower limit confidence interval [CI] 0.114; upper limit CI 0.356). Further, 64.5% of the study participants were either currently enrolled in college or had higher levels of education.

Conclusion

These findings could potentially lead to a more personalized approach to medication education and adherence, considering the unique DA and MASE of each patient. By identifying the mediating effect of MASE on the relationship between DA and MA, healthcare providers could tailor interventions to enhance the ability of patients with early psychosis to adhere to prescribed medication regimens.

Effects of Adherence to Pharmacological Treatment on the Recovery of Patients with Schizophrenia

The aim of this study was to evaluate the effects of adherence to antipsychotic treatment on the recovery of patients with schizophrenia in northern Chile. One hundred and fifty-one patients diagnosed with schizophrenia completed the Drug Attitude Inventory (DAI-10), Positive and Negative Syndrome Scale for Schizophrenia (PANSS), Recovery Assessment Scale (RAS-24), sociodemographic information, and clinical and treatment characteristics of patients with schizophrenia. Multivariate analysis with multiple linear regression was then performed to identify variables that were potentially associated with the recovery assessment (variable criterion). A significant association was found between adherence to antipsychotic medication and the Willing to Ask for Help dimension of Recovery (β = 0.239, p = 0.005). Association of clinical and socio-demographic variables with recovery were identified: negative symptoms with Personal Confidence and Hope (β = -0.341, p = 0.001) and Goal and Success Orientation (β = -0.266, p = 0.014); cognitive symptoms with Willing to Ask for Help (β = -0.305, p = 0.018) and no domination by symptoms (β = -0.351, p = 0.005); marital status with reliance on others (β = -0.181, p = 0.045); age with Personal Confidence and Hope (β = -0.217, p = 0.021), Goal and Success Orientation (β = -0.296, p = 0.003), and no domination by symptoms (β = 0.214, p = 0.025). Adherence has a positive relationship with personal recovery in this sample of Chilean patients with schizophrenia.

Medication Adherence in a Cross-Diagnostic Sample of Patients From the Affective-to-Psychotic Spectrum: Results From the PsyCourse Study

INTRODUCTION

According to the World Health Organization, medication adherence is defined as the extent to which a person's behavior corresponds with an agreed recommendation from a healthcare provider. Approximately 50% of patients do not take their medication as prescribed, and non-adherence can contribute to the progress of a disease. For patients suffering from mental diseases non-adherence plays an important role. Various factors have been proposed as contributing to non-adherence, however the literature remains heterogeneous dependent on the analyzed patient subgroups. This study comprehensively evaluates the association of sociodemographic, clinical, personality and quality of life related factors with medication adherence by analyzing data from the PsyCourse study. The PsyCourse study is a large and cross-diagnostic cohort of psychiatric patients from the affective-to-psychotic spectrum.

METHODS

The study sample comprised 1,062 patients from the PsyCourse study with various psychiatric diagnoses (mean [SD] age, 42.82 [12.98] years; 47.4% female). Data were analyzed to identify specific factors associated with medication adherence, and adherence was measured by a self-rating questionnaire. Odds ratios (OR) were estimated by a logistic regression for binary outcomes. Missing data were imputed using multiple imputation.

RESULTS

The following factors showed the strongest association with medication adherence: never having used illicit drugs (OR, 0.71), number of prescribed antipsychotics (OR, 1.40), the personality trait conscientiousness (OR, 1.26), and the environmental domain of quality of life (OR, 1.09).

CONCLUSION

In a large and cross-diagnostic sample, we could show that a higher level of conscientiousness, a higher number of antipsychotic medication, a better quality of life within the environmental domain, and the absence of substance abuse contribute to a better medication adherence independent of the underlying disorder.

Psychological factors involved in psychopharmacological medication adherence in mental health patients: A systematic review

BACKGROUND

Psychopharmacological medication adherence is essential for psychiatric patients' treatment and well-being.

OBJECTIVE

This review aimed to identify psychological factors related to health control that have been linked to psychopharmacological medication adherence in psychiatric patients.

METHODS

A literature search was performed through the databases Medline, PubMed, PsycINFO, and Google Scholar to identify relevant studies published before October 15th, 2019. Articles published in peer-reviewed journals that analyzed the psychological factors of health belief and health control involved in psychopharmacological medication adherence in a psychiatric population were included.

RESULTS

The search identified 124 potentially relevant papers, 29 of which met the eligibility criteria. The final sample was 222 adolescents, most with a diagnosis of attention deficit/hyperactivity disorder (ADHD), and 6139 adults diagnosed especially with schizophrenia spectrum disorder, bipolar disorder, or depressive disorder. Results suggested that medication adherence is associated with health beliefs and psychological variables, such as self-efficacy and locus of control. Family support was also positively related to medication adherence.

CONCLUSION

Psychopharmacological medication adherence requires a consideration of multicausality, which depends on sociodemographic, clinical, and psychological factors.

PRACTICE IMPLICATIONS

These findings should be considered in the development and implementation of psychological interventions focused on self-control and family support.

Assessment of adherence to oral antipsychotic medications: What has changed over the past decade?

INTRODUCTION

In a previous review, spanning 3 decades, we found that self-report and other non-objective measures were the primary means of assessing adherence to oral antipsychotic medications for individuals with schizophrenia. Moreover, consensus regarding the definition of adherence was completely lacking. Here, we examined the next decade of studies to determine what may have changed.

METHOD

We searched the peer reviewed literature published between January 1, 2007 and December 31, 2017 using Google scholar, Science Direct, CINAHL, PsychINFO, PsychARTICLES and Medline. Search terms were medication adherence or medication compliance or medication acceptance or medication follow-through or medication concordance or medication persistence AND schizophrenia. We included articles that assessed adherence behavior.

RESULTS

The search yielded 663 articles, 363 of these were eliminated. Included studies represent over 560,000 individuals. Definitions of adherence remain variable with cutoffs from 67% to 95%. Subjective measures of adherence remain the most commonly used. However, the use of objective measures has significantly increased, as has the use of electronic claims data. However, the absolute number of studies using objective measures remains low and very few approaches identify the amount of medication actually taken.

CONCLUSIONS

Some movement toward more standardization and the use of more objective measures of adherence has been made over the past decade. However, objective measures continue to be underutilized and definitions remain variable. Assessing adherence in less than optimal ways calls into question the results of studies purporting to identify reasons for problem adherence and to elucidate the relationships among adherence and other variables.