Clinical validation of the self-reported Glasgow Antipsychotic Side-effect Scale using the clinician-rated UKU side-effect scale as gold standard reference

Structural validity of the 5-item World Health Organization Well-being Index (WHO-5) in patients with schizophrenia spectrum disorders

BACKGROUND

When monitoring the severity and impact of schizophrenia spectrum disorders, a measure of subjective well-being should ideally accompany measures of symptom severity and medication side effects. The self-reported 5-item World Health Organization Well-being Index (WHO-5) is a brief, generic, and widely used measure of subjective well-being. However, the structural validity of the WHO-5, namely, whether the individual item scores can be combined to produce a meaningful total score, has not been examined among patients with schizophrenia spectrum disorders.

METHOD

Utilizing data from 399 Danish patients with schizophrenia spectrum disorders attending the Psychiatric Services of the Central Denmark Region, we employed Rasch analysis to examine the structural validity (i.e., unidimensionality, overall fit to the Rasch model, and differential item functioning) of the WHO-5.

RESULTS

The WHO-5 was found to be unidimensional with no differential item functioning for age, sex, or inpatient/outpatient status. However, in the initial analysis, some misfit to the Rasch model, partially caused by the disordering of response categories, was evident. In adjusted analyses in which the item response categories 2 (Less than half of the time) and 3 (More than half of the time) were merged, overall fit to the model was improved.

CONCLUSIONS

When two item response categories were merged, the Danish version of the WHO-5 was found to be structurally valid for patients with schizophrenia spectrum disorders. This suggests that the WHO-5 holds promise as a measure of subjective well-being in this patient population.

Treatment of schizophrenia evaluated via the pharmacopsychometric triangle-An integrative approach with emphasis on well-being and functioning

Quantification of treatment response is crucial to optimize outcomes for patients with schizophrenia. In this study, we evaluated the relationship between quantitative measures of clinician-rated symptom severity and self-rated side effects, well-being, and functioning among inpatients with schizophrenia using the six-item version of the Positive and Negative Syndrome Scale (PANSS-6), the Glasgow Antipsychotic Side-effect Scale (GASS), the WHO-Five Well-being Index (WHO-5), and the Sheehan Disability Scale (SDS). All measurements were conducted as close to admission and discharge as possible. Well-being and functioning were found to be most strongly associated with the additive effect of symptoms and side effects, while changes in side effects, well-being, and functioning appeared to be relatively independent from changes in symptom severity. The use of both symptom and side effect measures should inform clinical decision-making in the treatment of schizophrenia, as it has the potential to optimize functioning and well-being.

Oral and long-acting injectable antipsychotic discontinuation and relationship to side effects in people with first episode psychosis: a longitudinal analysis of electronic health record data

Background

Discontinuation of treatment in people with first episode psychosis (FEP) is common, but the extent to which this is related to specific adverse effects of antipsychotic medications is unclear.

Objectives

To investigate whether antipsychotic discontinuation is associated with the prescription of particular antipsychotics and particular adverse effects.

Design

Retrospective cohort study.

Methods

We assembled de-identified electronic health record (EHR) data from 2309 adults with FEP who received care from the South London and Maudsley NHS Foundation Trust between 1st April 2008 and 31st March 2019. Associations between antipsychotic medications, clinician-recorded side effects and treatment discontinuation were investigated across a mean follow-up period of 34.2 months using Cox regression.

Results

The mean age of patients was 26.7 years and 1492 (64.6%) were male. Among first prescribed antipsychotic medications, discontinuation occurred earlier with haloperidol [hazard ratio (HR) = 2.78, 95% CI = 1.69-4.60] and quetiapine (HR = 1.43, 95% CI = 1.16-1.80) than with olanzapine. Discontinuation occurred sooner when there was evidence of extrapyramidal symptoms (HR = 1.33, 95% CI = 1.08-1.64) or sexual dysfunction (HR = 1.59, 95% CI = 1.03-2.46). Among antipsychotics prescribed at any point during treatment, lurasidone (HR = 1.40, 95% CI = 1.10-1.78) and aripiprazole (HR = 1.09, 95% CI = 1.01-1.19) were associated with earlier discontinuation than olanzapine. Conversely, clozapine (HR = 0.55, 95% CI = 0.41-0.73) and paliperidone 1-monthly (PP1M) long-acting injectable (HR = 0.80, 95% CI = 0.68-0.94) were associated with later discontinuation. Unexpectedly, for antipsychotics prescribed at any stage of treatment, sedation (HR = 0.89, 95% CI = 0.81-0.97), weight gain (HR = 0.73, 95% CI = 0.64-0.83), and multiple side effects (HR = 0.83, 95% CI = 0.76-0.90) were associated with later discontinuation.

Conclusion

Earlier treatment discontinuation associated with sexual or extrapyramidal side effects could be related to their rapid onset and poor tolerability. Later treatment discontinuation associated with clozapine and PP1M could be related to the relative efficacy of these treatments. These findings merit consideration when selecting antipsychotic therapy for people with FEP.

Barriers to the management of sexual dysfunction among people with psychosis: analysis of qualitative data from the REMEDY trial

BACKGROUND

More than half of people who use antipsychotic medication for psychosis report having sexual dysfunction. The REMEDY trial aimed to find out if switching antipsychotic medication provides an effective way to reduce sexual dysfunction among people with psychosis. We set out to recruit 216 participants over a two-year period, but recruitment was stopped after an extended 12-month pilot phase, during which we recruited only 10 participants. As part of a nested process evaluation, we conducted qualitative interviews with front-line clinicians to examine barriers to recruitment to the trial.

METHODS

We developed a semi-structured interview schedule to explore staff views on factors that influenced whether they referred potential participants to the study. We interviewed a purposive sample of 51 staff from four National Health Service (NHS) Trusts in England, ensuring a range of different backgrounds, seniority, and levels of involvement in the trial. Audio recordings of interviews were transcribed for verbatim, and data were analysed using an inductive approach to thematic analysis.

RESULTS

Nine interconnected themes were generated. Six themes concerned barriers to recruitment; including; prioritising patients' mental stability, mutual discomfort and embarrassment about discussing a "taboo" subject, and concerns about unintended consequences of asking people with psychosis about their sexual functioning. Three themes, including the quality of treatment relationships and strategies for opening dialogue suggested ways to improve recognition of these "hidden" side effects.

CONCLUSION

The identification and management of sexual dysfunction among people with psychosis are not priorities for mental health services in England at this time. Many staff working in front-line services feel unprepared and uncomfortable asking people with psychosis about these problems. While greater use of screening tools may improve the identification of sexual dysfunction among people with psychosis, the evaluation and implementation of interventions to manage them will continue to be challenging unless NHS leaders and senior clinicians demonstrate greater commitment to changing current clinical practice.

TRIAL REGISTRATION

Current Controlled Trials ISRCTN12307891.

Language-agnostic pharmacovigilant text mining to elicit side effects from clinical notes and hospital medication records

We sought to craft a drug safety signalling pipeline associating latent information in clinical free text with exposures to single drugs and drug pairs. Data arose from 12 secondary and tertiary public hospitals in two Danish regions, comprising approximately half the Danish population. Notes were operationalised with a fastText embedding, based on which we trained 10,720 neural-network models (one for each distinct single-drug/drug-pair exposure) predicting the risk of exposure given an embedding vector. We included 2,905,251 admissions between May 2008 and June 2016, with 13,740,564 distinct drug prescriptions; the median number of prescriptions was 5 (IQR: 3-9) and in 1,184,340 (41%) admissions patients used ≥5 drugs concomitantly. 10,788,259 clinical notes were included, with 179,441,739 tokens retained after pruning. Of 345 single-drug signals reviewed, 28 (8.1%) represented possibly undescribed relationships; 186 (54%) signals were clinically meaningful. 16 (14%) of the 115 drug-pair signals were possible interactions and 2 (1.7%) were known. In conclusion, we built a language-agnostic pipeline for mining associations between free-text information and medication exposure without manual curation, predicting not the likely outcome of a range of exposures, but the likely exposures for outcomes of interest. Our approach may help overcome limitations of text mining methods relying on curated data in English and can help leverage non-English free text for pharmacovigilance.

Validation of the Glasgow Antipsychotic Side-Effect Scale (GASS) in an Italian Sample of Patients with Stable Schizophrenia and Bipolar Spectrum Disorders

Antipsychotics are a class of psychotropic drugs that improve psychotic symptoms and reduce relapse risk. However, they may cause side effects (SE) that impact patients’ quality of life and psychosocial functioning. Therefore, there is a need for practical tools to identify them and possibly intervene. The objective of the present study was to translate into Italian the Glasgow Antipsychotic Side Effect Scale (GASS), which is suggested as the questionnaire of choice to collect SE reported by patients treated with antipsychotics. We administered the GASS and the Udvalg for Kliniske Undersøgelser (UKU) SE scale—which is considered the gold standard—to 100 stable patients with schizophrenia and bipolar spectrum disorders. We measured the structural validity, internal consistency, concurrent criterion validity, construct validity, and clinical feasibility. GASS was characterized by modest structural validity and good internal consistency. The binary correlations concerning the presence of specific symptoms investigated with the GASS and the UKU were strong or relatively strong for only half of them. The GASS total scale score was inversely related to patients’ quality of life and psychosocial functioning. The GASS is useful to briefly assess the burden of antipsychotic SE (~5 min) but is not optimal in identifying them.

Clinical validation of the Aarhus Side effect Assessment Questionnaire(ASAQ)

BACKGROUND

Psychotropic medications are essential in the treatment of mental illness. Unfortunately, these medications are associated with side effects that may reduce adherence to treatment and quality of life. Therefore, systematic screening for side effects is fundamental to optimize treatment with psychotropic medications. Self-report of side effects is a practical alternative to time-consuming clinical assessments. We developed the Aarhus Side effect Assessment Questionnaire (ASAQ) in an attempt to strike the balance between extensive coverage of side effects and reasonable application time.

AIM

The aim of the study was to validate the ASAQ using the clinician-rated Udvalg for Kliniske Undersøgelser (UKU) Side Effect Scale as gold standard reference.

METHODS

A total of 122 inpatients and outpatients-mainly with psychotic (39%) and affective disorders (43%)-receiving treatment with psychotropic medication completed the ASAQ and the World Health Organization-Five Well-Being Index (WHO-5) and were subsequently rated on the UKU by trained raters.

RESULTS

Using the UKU as the gold standard reference, the ASAQ demonstrated sensitivity values >75% for 77% of its 30 items (ranging from 37% for cutaneous disturbances to 98% for increased sweating) and specificity values >75% for 47% of its 30 items (ranging from 28% for reduced sleep to 98% for micturition disturbances). While 17% of the participants considered discontinuing their medication, 24% had recently refrained from taking their medication as prescribed. A negative correlation was found between the ASAQ and the WHO-5 and total scores (Pearson's correlation coefficient = -0.44).

CONCLUSIONS

The self-reported ASAQ seems to be a sensitive tool for detecting side effects of psychotropic medications.

Clinical validation of ratings on the six-item Positive and Negative Syndrome Scale obtained via the Simplified Negative and Positive Symptoms Interview

BACKGROUND

The six-item version of the Positive and Negative Syndrome Scale (PANSS-6) has shown promise as a brief measure of the severity of core symptoms of schizophrenia. However, since all prior analyses of the PANSS-6 were based on data extracted from studies using the full 30-item PANSS (PANSS-30), it remains unknown whether it is possible to obtain valid information for the PANSS-6 ratings via a brief interview, such as the Simplified Negative and Positive Symptoms Interview (SNAPSI).

AIMS

We aimed to validate the PANSS-6 ratings obtained via the SNAPSI using the PANSS-6 scores extracted from the PANSS-30 ratings obtained via the comprehensive Structured Clinical Interview for PANSS (SCI-PANSS) as the gold-standard reference.

METHODS

The PANSS-6 ratings based on the SNAPSI and the PANSS-30 ratings based on the SCI-PANSS were conducted by independent raters with established inter-rater reliability.

RESULTS

Seventy-seven inpatients with schizophrenia (M_age = 35.1 ± 11.7 years; males = 57%; paranoid schizophrenia = 75%) participated in the study. The intraclass correlation coefficient (ICC) of the PANSS-6 total scores obtained using the SNAPSI and the PANSS-30-derived PANSS-6 total scores via the SCI-PANSS was 0.77 (p < 0.001). The ICC for the PANSS-6 total score and the PANSS-30-derived PANSS-8 (Andreasen's remission criteria) was 0.75 (p < 0.001). Spearman's rank correlation coefficient for changes in PANSS-6 total scores via the SNAPSI and changes in PANSS-30-derived PANSS-6 total scores was 0.70 (p < 0.001).

CONCLUSIONS

Using the SNAPSI to rate the PANSS-6 enables a focused and brief assessment of the severity of core symptoms of schizophrenia, which facilitates measurement-based care and clinical decision making in the treatment of schizophrenia.

Reducing risks associated with medicines and lifestyle in a residential care population with intellectual disabilities: evaluation of a pharmacy review initiative in England

OBJECTIVES

A collaborative service initiative involving community pharmacists and a specialist mental health pharmacist was developed to provide pharmacist reviews for care home residents with intellectual disabilities (IDs). This study aimed to characterise the medicines and lifestyle risk outcomes of the service and determine how these align with national priority issues in ID.

DESIGN

Descriptive statistical analysis of routinely collected service delivery data.

SETTING

Residential care homes in the Wirral, England for people with ID.

PARTICIPANTS

160 residents.

INTERVENTIONS

Pharmacist review of residents' medicines and lifestyle risk factors between November 2019 and May 2020.

PRIMARY AND SECONDARY OUTCOME MEASURES

Numbers of medicines prescribed, the nature of pharmacists' interventions/recommendations and general practitioner (GP)/psychiatrist acceptance.

RESULTS

The 160 residents were prescribed 1207 medicines, 74% were prescribed ≥5 medicines and 507 interventions/recommendations were made, averaging 3.3 per resident. The highest proportion (30.4%) were lifestyle risk related, while changing and stopping medicines accounted for 17.9% and 12.8%, respectively. Of the recommendations discussed with GPs/psychiatrists, 86% were accepted. Medicines with anticholinergic properties were prescribed for 115 (72%) residents, of whom 43 (37%) had a high anticholinergic burden score. Pharmacists recommended anticholinergic discontinuation or dose reduction for 28 (24%) residents. The pharmacists made interventions/recommendations about constipation management for 10% of residents and about respiratory medicines for 17 (81%) of the 21 residents with respiratory diagnoses.

CONCLUSIONS

The findings indicate considerable polypharmacy among the residents and a high level of pharmacists' interventions/recommendations about medicines and lifestyle risk, most of which were accepted by GPs/psychiatrists. This included anticholinergic burden reduction and improving respiratory disease and constipation management, which are national priority issues. Wider adoption of collaborative pharmacist review models could have similar benefits for residential populations with ID and potentially reduce pressure on other health services.

Validity of the Aktibipo Self-rating Questionnaire for the Digital Self-assessment of Mood and Relapse Detection in Patients With Bipolar Disorder: Instrument Validation Study

BACKGROUND

Self-reported mood is a valuable clinical data source regarding disease state and course in patients with mood disorders. However, validated, quick, and scalable digital self-report measures that can also detect relapse are still not available for clinical care.

OBJECTIVE

In this study, we aim to validate the newly developed ASERT (Aktibipo Self-rating) questionnaire-a 10-item, mobile app-based, self-report mood questionnaire consisting of 4 depression, 4 mania, and 2 nonspecific symptom items, each with 5 possible answers. The validation data set is a subset of the ongoing observational longitudinal AKTIBIPO400 study for the long-term monitoring of mood and activity (via actigraphy) in patients with bipolar disorder (BD). Patients with confirmed BD are included and monitored with weekly ASERT questionnaires and monthly clinical scales (Montgomery-Åsberg Depression Rating Scale [MADRS] and Young Mania Rating Scale [YMRS]).

METHODS

The content validity of the ASERT questionnaire was assessed using principal component analysis, and the Cronbach α was used to assess the internal consistency of each factor. The convergent validity of the depressive or manic items of the ASERT questionnaire with the MADRS and YMRS, respectively, was assessed using a linear mixed-effects model and linear correlation analyses. In addition, we investigated the capability of the ASERT questionnaire to distinguish relapse (YMRS≥15 and MADRS≥15) from a nonrelapse (interepisode) state (YMRS<15 and MADRS<15) using a logistic mixed-effects model.

RESULTS

A total of 99 patients with BD were included in this study (follow-up: mean 754 days, SD 266) and completed an average of 78.1% (SD 18.3%) of the requested ASERT assessments (completion time for the 10 ASERT questions: median 24.0 seconds) across all patients in this study. The ASERT depression items were highly associated with MADRS total scores (P<.001; bootstrap). Similarly, ASERT mania items were highly associated with YMRS total scores (P<.001; bootstrap). Furthermore, the logistic mixed-effects regression model for scale-based relapse detection showed high detection accuracy in a repeated holdout validation for both depression (accuracy=85%; sensitivity=69.9%; specificity=88.4%; area under the receiver operating characteristic curve=0.880) and mania (accuracy=87.5%; sensitivity=64.9%; specificity=89.9%; area under the receiver operating characteristic curve=0.844).

CONCLUSIONS

The ASERT questionnaire is a quick and acceptable mood monitoring tool that is administered via a smartphone app. The questionnaire has a good capability to detect the worsening of clinical symptoms in a long-term monitoring scenario.