A clinical communication tool for the assessment of psychotropic medication side effects

Metformin for the Prevention of Antipsychotic-Induced Weight Gain: Guideline Development and Consensus Validation

BACKGROUND

Overweight and obesity are highly prevalent in people with severe mental illness (SMI). Antipsychotic-induced weight gain (AIWG) is one of the most commonly reported and distressing side effects of treatment and people living with SMI place a high value on the avoidance of this side effect. Metformin is the most effective pharmacological intervention studied for the prevention of AIWG yet clear guidelines are lacking and evidence has not translated into practice. The aim of this research was to develop a guideline for the use of metformin for the prevention of AIWG.

STUDY DESIGN

The appraisal of guidelines for research and evaluation II instrument (AGREE II) was followed for guideline development. Literature was reviewed to address key health questions. The certainty of evidence was evaluated using GRADE methodology and an evidence-to-decision framework informed the strength of the recommendations. A consensus meeting was held where the algorithm and strength of recommendations were agreed. An independent external review was conducted involving experts in the field, including patient and public partners.

STUDY RESULTS

Metformin is the only pharmacological agent that has demonstrated efficacy for preventing AIWG. Co-commencement with antipsychotic medicines can reduce the extent of weight gain by 4.03 kg (95% CI -5.78 kg to -2.28 kg) compared to controls. A guideline for the use of metformin for the prevention of AIWG was developed with specific recommendations for co-commencement of metformin at initiation with an antipsychotic or commencement if certain criteria are present. Core recommendations were graded as strong by consensus agreement.

CONCLUSIONS

This is the first published evidence-based guideline using the AGREE II framework and GRADE methods for the use of metformin to prevent AIWG incorporating recommendations for co-commencement. Implementation and evaluation of the guideline will be supported by a shared decision-making package and assessment of barriers and facilitators to implementation.

Side Effects of Psychotropic Medications Experienced by a Community Sample of People Living With Severe and Persistent Mental Illness

BACKGROUND

Psychotropic medications are a common treatment modality for people living with severe and persistent mental illness (SPMI). While effective in reducing relapse and hospitalisation, psychotropic medications cause numerous side effects, varying in nature and severity. Identification and management of side effects is crucial in the ongoing management of SPMI.

OBJECTIVE

To characterise the side effects of psychotropic medications, experienced by a sample of consumers living with SPMI, using a validated tool.

SETTING AND PARTICIPANTS

Consumers with SPMI living in the community were recruited from all 25 community pharmacies across four Australian regions, which were allocated to the intervention arm of the Bridging the Gap between Physical and Mental Illness (PharMIbridge) randomised controlled trial (RCT).

MAIN OUTCOME MEASURES

Responses to the My Medicines & Me Questionnaire (M3Q).

RESULTS

Consumers (n = 156) most frequently reported side effects in the categories of sleep-related side effects (80.8%, n = 126), mood-related side effects (75.6%, n = 118) and weight and appetite changes (60.3%, n = 107). Daytime somnolence was the most reported individual side effect (68.6%, n = 107). Mood-related side effects were ranked as the most bothersome, followed by sleep-related side effects and weight and appetite changes. More than one-quarter (29.5%, n = 46) of consumers reported choosing not to take their medications due to side effects. Consumers more frequently told family and friends about the side effects rather than healthcare professionals.

CONCLUSIONS

An overwhelming majority of consumers experienced at least one side effect attributed to their psychotropic medication, with many experiencing multiple. These findings highlight the critical need to regularly engage with consumers to discuss, identify and manage side effects to treatment burden, reduce risk of non-adherence and improve their treatment experience.

PATIENT OR PUBLIC CONTRIBUTION

The PharMIbridge RCT included a training programme and intervention service that was co-designed and co-delivered with people with lived experience of mental illness. The research team, expert advisory panel and mentors who supported the delivery and implementation of the training and intervention included participants who have lived experience of mental illness or caring for someone with mental illness.

TRIAL REGISTRATION

ANZCTR12620000577910.

Efficacy of empagliflozin as adjunctive therapy to citalopram in major depressive disorder: a randomized double-blind, placebo-controlled clinical trial

BACKGROUND

Major depressive disorder is one of the most common psychiatric disorders, which is associated with a high disease burden. Current treatments using antidepressants have limitations, so using medication with neuromodulating and anti-inflammatory properties alongside them could be helpful. In a clinical trial, we studied the effectiveness of empagliflozin, a blood sugar-lowering drug, as an adjunctive therapy to reduce the severity of depression symptoms.

METHODS

A number of outpatients with moderate to severe depression (Hamilton Depression Rating Scale (HDRS) > = 17) who were not under related medication or had not taken medication for at least the last two months, had an age range of 18-60 years and had written informed consent to enter the study (N = 90) were randomly divided into two groups receiving placebo or empagliflozin (10 mg daily) combined with citalopram (40 mg daily) based on permuted block randomization method in an 8-week randomized, double-blind, placebo-controlled clinical trial. They were evaluated using the HDRS in weeks 0, 4, and 8.

RESULTS

HDRS scores were equal to 28.42(± 3.83), 20.20(± 3.82), and 13.42(± 3.42) in the placebo group during weeks 0,4, and 8, respectively. These scores were 27.36(± 3.77), 13.76(± 1.40), and 7.00(± 1.13), respectively, for the group treated with empagliflozin. Compared to the control group, patients treated with empagliflozin using repeated-measures ANOVA showed greater improvement in reducing the severity of depression symptoms over time (p value = 0.0001).

CONCLUSIONS

Considering the promising findings in this clinical trial, further study of empagliflozin as adjunctive therapy in MDD with larger sample sizes and longer follow-ups is recommended.

Refining a taxonomy of goals planned between mental health consumers and community pharmacists

BACKGROUND

People living with severe and persistent mental illnesses are more likely to experience co-morbid health conditions. Health-related behavior change can be promoted by the use of goal planning within community pharmacy settings.

OBJECTIVES

To trial and refine a recently developed taxonomy to categorize goals co-designed between community pharmacists and people living with severe and persistent mental illnesses. This study also compared the data to the previously published taxonomy data to determine if the taxonomy could be applied across a range of mental health conditions.

METHODS

The published goal taxonomy was refined using data from a cluster randomized controlled trial (PharMIbridge). Community pharmacists provided an individualized support service using goal planning with people living with severe and persistent mental illnesses. Goals were categorized using the existing taxonomy and inconsistencies were used to modify and refine the taxonomy. Additionally, participant characteristics and categorization of goals were compared with results from the previous study.

RESULTS

512 goals were reported by 158 consumer participants and categorized into five domains that included a diverse range of health behaviors (e.g., relationships, diet). Minor refinements to the taxonomy were made by replacing, adding or removing categories/descriptors.

CONCLUSIONS

Significant overlap between the goals of participants and the existing taxonomy was found, supporting the application of the taxonomy across different mental health conditions.

How important are informed consent, informed choice, and patient-doctor relationships, when prescribing antipsychotic medication?

BACKGROUND

Antipsychotic medications (APs) are used for people with psychosis diagnoses and, increasingly for other problems and groups.

AIMS

This study examines how APs are prescribed, from the perspective of recipients.

METHODS

757 people, from 30 countries, responded to questions about their experiences with APs, in an online survey.

RESULTS

Most (70%) were told nothing about adverse effects. Fewer than 2% recalled being told about the risks of diabetes, suicidality, sexual dysfunction, or reduced life span. None recalled being told about reduced brain volume or withdrawal effects. Only 28% recalled being offered other treatments; with only 14% offered talking therapies. 46% were not told how long to take the APs; and, of those who were told something, 48% were told to take them forever. Most respondents (76%) were not told how APs work. Only 19% were satisfied with the prescribing process, and only 25% reported a good, or very good, relationship with the prescriber. Information, satisfaction with the process, and the prescriber relationship were all positively related to three self-reported outcomes: reduction of problems the drugs were prescribed for, general helpfulness, and quality of life.

CONCLUSIONS

Steps need to be taken to ensure people prescribed antipsychotics are fully informed, especially about adverse effects and alternatives.

The efficacy of meditation-based mind-body interventions for mental disorders: A meta-review of 17 meta-analyses of randomized controlled trials

There is increasing interest in the potential efficacy of meditation-based mind-body interventions (MBIs) within mental health care. We conducted a systematic metareview of the published randomized control trial (RCT) evidence. MEDLINE/PubMed, PsycARTICLES and EMBASE were searched from inception to 06/2020 examining MBIs (mindfulness, qigong, tai chi, yoga) as add-on or monotherapy versus no treatment, minimal treatment and passive and active control conditions in people with a mental disorder. The quality of the methods of the included meta-analyses using A Measurement Tool to Assess Systematic Reviews (AMSTAR) and the methodological quality of the RCTs using AMSTAR-Plus. Sixteen (94%) of 17 meta-analyses had good overall methodological quality. The content validity of the included RCTs was considered good in 9 (53%) meta-analyses. In meta-analyses with good methodological quality (AMSTAR 8≤) and content validity (AMSTAR+ 4≤), large effect sizes (0.80 or higher) were observed for mindfulness in schizophrenia and in ADHD, a moderate (0.50 ≤ 0.80) effect size for mindfulness in PTSD and a small (0.20 < 0.50) effect size for yoga in schizophrenia No serious adverse events were reported (n RCTs = 43, n in the MBI arms = 1774), while the attrition rates were comparable with the rates in passive and active control conditions. Our meta-review demonstrates that mindfulness and to a lesser extent yoga may serve as an efficacious supplement to pharmacotherapy, and psychotherapy and can be complementary in healthy lifestyle interventions for people with mental disorders. Meta-analytic evidence of high methodological quality and content validity of included trials is currently lacking for qigong and tai chi.

Shared decision making for psychiatric medication management: a summary of its uptake, barriers and facilitators

The model of shared decision making with mental health patients and clinicians (doctors and pharmacists) harnesses the benefits of patients becoming partners in their own recovery through improved communication and greater self-advocacy. Shared decision making in mental health services is an emerging model of care which has not been well investigated, however it is seen as the way forward to achieving improved health outcomes for non-pharmacological and pharmacological therapy. Successful implementation of this model requires supporting the process through provision of information and training, use of decision aids, coaching in communication skills and inclusion of family and carers in the decision making process. This summary examines the application of the shared decision making model for psychiatric medication management, including barriers and facilitators.

Bridging the gap between physical and mental illness in community pharmacy (PharMIbridge): protocol for an Australian cluster randomised controlled trial

INTRODUCTION

There is a significant life expectancy gap attributable to physical comorbidities for people living with severe and persistent mental illness (SPMI) compared with the general population. Medications are a major treatment for SPMI management and physical illnesses, hence pharmacists are well positioned to support mental healthcare and comorbidities. The randomised controlled trial (RCT) aim is to evaluate effectiveness of an individualised, pharmacist led, support service for people experiencing SPMI focusing on medication adherence and physical comorbidity management, compared with standard care (a medication-management service; MedsCheck). METHODS AND ANALYSIS: PharMIbridge is a cluster RCT, whereby community pharmacies in four Australian regions will be randomised (1:1 ratio), to either Intervention Group (IG) or Comparator Group (CG). All IG and CG pharmacy staff will receive Blended-Mental Health First Aid training. Additionally, IG pharmacists will receive further training on medication adherence, goal setting, motivational interviewing, managing physical health concerns and complex issues relating to psychotropic medication. CG pharmacists will not receive additional training, and will provide standard care (MedsCheck). The primary outcome will be change in participants medication adherence for psychotropic medication over 6-months. Using mixed-effects logistic regression model and a cluster size of 48 pharmacies, a total of 190 participants will need to be recruited to each arm to find a statistically significant difference in medication adherence. Secondary outcomes will be changes in factors associated with cardiometabolic risk and quality of life, emphasising physical and psychological well-being; medication-related problems; adherence to other prescribed medication; pharmacists knowledge, confidence and ability to support people experiencing SPMI; and effects on healthcare utilisation. A within RCT-based economic evaluation comparing the intervention with standard care will be undertaken.

ETHICS AND DISSEMINATION

The protocol and pharmacist training programme received Griffith University Human Research Ethics Committee approval (HREC/2019/473 and HREC/2019/493 respectively). Results will be published in peer-reviewed journals and available at the Sixth Community Pharmacy Agreement website (http://6cpa.com.au/about-6cpa/).

TRIAL REGISTRATION NUMBER

ANZCTR12620000577910.

A Comprehensive Evaluation of Studies on the Adverse Effects of Medications in Australian Aged care Facilities: A Scoping Review

Aim: this scoping review was designed to identify studies that assess adverse drug reactions (ADRs) for older people in Australian aged care facilities. This review critically evaluates each published study to identify the risk of, or actual, adverse drug events in older people. Inclusion criteria: this review considered any clinical studies that examined the adverse effects of medications in older people who were living in aged care facilities. This review considered qualitative studies, analytical studies, randomized controlled trials (RCTs), descriptive cross-sectional studies, and analytic observational studies that explored the use of medications and their adverse effects on older people in clinical settings (including aged care facilities). Methods: an initial search of the PubMed (United State National Library of Medicine), OvidSP, EBSCOHost, ScienceDirect, Wiley Online, SAGE, and SCOPUS databases, with full text was performed, followed by an analysis of the article's title and abstract. Additionally, MeSH (Medical Subject Headings) was used to describe the article. The initial round of the database search was based on inclusion criteria from studies that assessed tools or protocols aiming to identify the adverse effects of medications on the elderly population suffering chronic conditions or multiple co-morbidities. Two reviewers screened the retrieved papers for inclusion. The data presented in this review are in tabular forms and accompanied by a narrative summary which aligns with the review's objectives. Results: seven studies were identified, and the extracted data from these studies were grouped according their characteristics and the auditing results of each study. Conclusion: it would be beneficial to design a comprehensive or broadly adverse drug reaction assessment tool derived from Australian data that has been used on the elderly in an Australian healthcare setting.

Positive and Negative Effects of Antipsychotic Medication: An International Online Survey of 832 Recipients

Background:

Antipsychotic medication is currently the treatment of choice for psychosis, but few studies directly survey the first-hand experience of recipients.

Objective:

To ascertain the experiences and opinions of an international sample of users of antipsychotic drugs, regarding positive and negative effects.

Methods:

An online direct-to-consumer questionnaire was completed by 832 users of antipsychotics, from 30 countries – predominantly USA, UK and Australia. This is the largest such sample to date.

Results:

Over half (56%) thought, the drugs reduced the problems they were prescribed for, but 27% thought they made them worse. Slightly less people found the drugs generally ‘helpful’ (41%) than found them ‘unhelpful’ (43%). While 35% reported that their ‘quality of life’ was ‘improved’, 54% reported that it was made ‘worse’. The average number of adverse effects reported was 11, with an average of five at the ‘severe’ level. Fourteen effects were reported by 57% or more participants, most commonly: ‘Drowsiness, feeling tired, sedation’ (92%), ‘Loss of motivation’ (86%), ‘Slowed thoughts’ (86%), and ‘Emotional numbing’ (85%). Suicidality was reported to be a side effect by 58%. Older people reported particularly poor outcomes and high levels of adverse effects. Duration of treatment was unrelated to positive outcomes but significantly related to negative outcomes. Most respondents (70%) had tried to stop taking the drugs. The most common reasons people wanted to stop were the side effects (64%) and worries about long-term physical health (52%). Most (70%) did not recall being told anything at all about side effects.

Conclusion:

Clinical implications are discussed, with a particular focus on the principles of informed consent, and involving patients in decision making about their own lives.

Less Medication Use in Inpatients With Severe Mental Illness Receiving a Multidisciplinary Lifestyle Enhancing Treatment. The MULTI Study III

Besides having an unhealthy lifestyle contributing to premature mortality, inpatients with severe mental illness (SMI) use high dosages of medication. Previous research has shown improved health after lifestyle improvements in SMI. In addition, we aimed to retrospectively study whether a multidisciplinary lifestyle enhancing treatment (MULTI) was associated with changes in medication use after 18 months, as compared with patients that continued treatment as usual (TAU) and explored mediation by a change in physical activity. We conducted an observational study within a cohort of inpatients with SMI, who received MULTI (N = 65) or continued TAU (N = 49). Data on their somatic and psychotropic medications were collected, converted into defined daily dose (DDD), and analyzed using linear multilevel regression, correcting for baseline value and differences between groups in age, diagnosis, and illness severity. Compared with TAU, the DDD for psychotropic medication significantly decreased with MULTI (B = -0.55, P = 0.02). Changes in total activity did not mediate this association, suggesting that multiple components of MULTI contributed. Corrected between-group analyses for subgroups of medication were not possible due to lack of power and skewed distributions. Within-group data showed a decreased proportion of users as well as median DDD in both groups for almost all medications. In addition to previously reported health improvements after 18 months of MULTI, we observed a significant decrease in dose of psychotropic medication in MULTI compared to TAU. This first study evaluating a wide range of medications indicates a possible effect of lifestyle improvements on medication use in inpatients with SMI. Findings need to be confirmed in future controlled studies, however.

What side effects are problematic for patients prescribed antipsychotic medication? The Maudsley Side Effects (MSE) measure for antipsychotic medication

BACKGROUND

Capturing service users' perspectives can highlight additional and different concerns to those of clinicians, but there are no up to date, self-report psychometrically sound measures of side effects of antipsychotic medications. Aim To develop a psychometrically sound measure to identify antipsychotic side effects important to service users, the Maudsley Side Effects (MSE) measure.

METHOD

An initial item bank was subjected to a Delphi exercise (n = 9) with psychiatrists and pharmacists, followed by service user focus groups and expert panels (n = 15) to determine item relevance and language. Feasibility and comprehensive psychometric properties were established in two samples (N43 and N50). We investigated whether we could predict the three most important side effects for individuals from their frequency, severity and life impact.

RESULTS

MSE is a 53-item measure with good reliability and validity. Poorer mental and physical health, but not psychotic symptoms, was related to side-effect burden. Seventy-nine percent of items were chosen as one of the three most important effects. Severity, impact and distress only predicted 'putting on weight' which was more distressing, more severe and had more life impact in those for whom it was most important.

CONCLUSIONS

MSE is a self-report questionnaire that identifies reliably the side-effect burden as experienced by patients. Identifying key side effects important to patients can act as a starting point for joint decision making on the type and the dose of medication.