Severe Mental Illness Patients Research Articles

Difficult-to-Engage Patients with Severe Mental Illness in Rural Community Settings: Results of the Greek Hybrid Assertive Community Treatment Model of Mental Healthcare.

Background: Modified Assertive Community Treatment (ACT) in rural settings may be effective in the care of patients with severe mental illness (SMI) that are difficult to engage in community care. The objective of the present study was to explore the impact of the care by a hybrid ACT team on SMI patients' hospitalizations, length of hospital stay, symptomatology and functioning in a rural community treatment setting in Greece. Methods: The hybrid ACT team is an expansion of the services of the well-established generic Mobile Mental Health Unit in a rural area of Northwest Greece, and delivers home-based care for patients with SMI. This was a 3-year prospective, mirror image, pre-post observational study. Patients' symptomatology, functioning and general outcome were measured with the use of the Brief Psychiatric Rating Scale (BPRS), the Global Assessment of Functioning Scale (GAF), and the Health of the Nation Outcome Scale (HοNOS). Results: The mean age of the 23 enrolled patients was 52.4 years and the mean age of disease onset was 23.5 years, with a mean number of hospitalizations 10.74. Over the 16-month follow-up patients' hospitalizations, both voluntary and involuntary, had been significantly reduced by almost 80%. Length of hospital stay had been significantly reduced by 87%, whereas patients' functioning and symptomatology had been significantly improved, by 17% and 14.5%, respectively. Conclusions: The model of hybrid ACT in rural areas in Greece may be effective in the treatment of difficult-to-engage patients with SMI and may improve patients' outcomes.

Vulnerability to risky sexual behavior among patients with severe mental illness in Uganda

BackgroundThe relationship between severe mental illness and risky sexual behaviors, defined as acts associated with a higher risk level is notably significant in sub-Saharan Africa. In Uganda, mental disorders have been substantially correlated with unsafe sexual practices, contributing to the global burden of risky sexual behaviors. The consequential outcomes, such as sexually transmitted diseases, has resulted into a significant challenge in managing severe mental illness and potentially increased risky sexual behaviour. There is an urgent need to identify and understand factors specific to Uganda that amplify the vulnerability of severe mental illness patients to risky sexual behaviors. This study aimed to understand the vulnerability factors to risky sexual behaviour in severe mental illness in central and south-western Uganda, seeking to inform the development of tailored and effective intervention strategies to address this critical issue.MethodsThis was a qualitative descriptive study that was carried out at Butabika and Masaka hospitals in Uganda, involving a varied group of 32 individuals, comprising 12 persons with diagnosed Severe Mental Illness (Schizophrenia, Bipolar Affective Disorder, or Recurrent Major Depressive Disorder) and to risky sexual behaviors, 8 caregivers (who had patients with severe mental illness and to risky sexual behaviors) and 12 mental health specialists, (who had treated these participants). Purposive sampling was done by intentionally selecting participants based on specific attributes relevant to the research question and the objective of the study which was to explore the factors contributing vulnerability to risky sexual behaviour in severe mental illness in central and south-western Uganda. The interviews were conducted, centered on personal experiences and influences on risky sexual behaviors for the persons with severe mental illness, targeting insights into the nuanced interplay of severe mental illness and sexual behavior. For caregivers and mental health specialists, the interviews were conducted to gain a comprehensive understanding of the unique challenges, perspectives, and experiences they encounter in providing support and treatment respectively. The interviews were tape-recorded and transcribed verbatim. Framework analysis of transcribed interviews, using NVivo11 software that helped to systematically organize and code data within the predetermined and emergent thematic framework, we were able to identify patterns and themes to address the research question and objective.ResultsThe study findings underscored a pervasive pattern of engaging in risky sexual behavior among individuals coping with severe mental illness, a growing concern traditionally associated with sexually transmitted infections like HIV and AIDS, unwanted pregnancies, and sexual encounters with strangers. This problem was largely attributed to factors such as compromised judgment due to underlying morbidity, abnormally high libido, poverty, desperation, and inadequate social support. Additionally, sexual deprivation, often a result of stigma, discrimination, and prolonged periods of hospitalization, was found to contribute to irresponsible and risky sexual acts. Respondents also highlighted certain practices and structural weaknesses within hospital environments, such as stripping patients naked when going to seclusion rooms and inadequate patient monitoring.ConclusionsThe findings underscore the need for targeted interventions addressing both individual and structural factors to alleviate the risks associated with sexual behavior among individuals with severe mental illness.

General practitioners’ experiences of providing somatic care for patients with severe mental illness: a qualitative study

BackgroundPatients dealing with severe mental illnesses (SMI) often face suboptimal clinical outcomes and higher mortality rates due to a range of factors, including undetected physical health conditions. The provision of care for individuals with SMI is frequently disjointed, as they engage with diverse healthcare providers. Despite this fragmentation, primary care, particularly general practitioners (GPs), assumes a pivotal role in the care of SMI patients. Our study aimed to delve into the first-hand experiences of GPs in delivering somatic care to SMI patients, concentrating on the challenges they encounter and the strategies they employ to navigate these difficulties.MethodsWe conducted in-depth interviews with fifteen GPs, utilizing a semi-structured interview guide, supplemented by ethnographic observations during clinical consultations in general practice. Through inductive coding, interview transcripts and observational field notes were systematically analysed using interpretative phenomenological analysis (IPA). The findings were then deliberated upon within the author group.ResultsGPs revealed that managing the chronic somatic care of SMI patients posed significant challenges. These challenges encompassed the multifaceted needs of patients, their behavior tied to symptoms, a lack of care continuity, and overarching time constraints. To tackle these challenges, the GPs had devised various strategies. However, all participants underscored the critical importance of having adequate time to properly prepare for, conduct, and follow up on consultations.ConclusionThe GPs’ interactions with SMI patients brought numerous challenges, although treating these patients were concurrently acknowledged as vital and fulfilling. The findings suggest that increased allocated time in general practice consultations for patients with SMI is important to support the somatic treatment requirements of this patient group.

Clinical Outcome in Persons with Severe Mental Disorders Attending a Mental Health Day Center during the COVID-19 Pandemic.

Studies assessing the psychological impact of the COVID-19 pandemic on populations highlight the emergence of mental health difficulties, especially if a mental health disorder is already present. Patients with severe mental illnesses (SMIs) may be even more vulnerable to the psychosocial effects of the pandemic. However, little is known regarding the possible impact of the pandemic on SMI patients supported by community-based mental health day centers. A two-year prospective study comprising 29 individuals with SMI was conducted by the Skitali Mental Health Day Center in Ioannina, Northwest Greece. The described group of examined patients consisted mainly of psychotic patients (65.5%). Patients were assessed using the Health of Nations Outcome Scale and the Global Assessment of Functioning scale, and scores prior to and after the onset of the pandemic were compared. The results indicated that participants did not present any significant decline in their overall clinical status during the COVID-19 pandemic and the national lockdown measures. This finding is relevant because previous research has shown that the pandemic may negatively impact adherence to treatment and service attendance and that the symptomatology of patients with SMIs may further deteriorate. It is suggested that the operation of mental health day centers during collective stressful events should be preserved, but further research is needed to evaluate their role in maintaining continuity of care during such events.

AĞIR RUH HASTALIĞI OLAN HASTALARDA COVİD-19 AŞILAMA ORANLARI

The pandemic is thought to affect patients with severe mental illness (SMI). There are no data on COVID-19 vaccination in patients with SMI in Turkey. The aim of our study is to determine the vaccination rates and demographic and clinical characteristics that may be associated with vaccination in SMI patients followed in a community mental health center (TRSM). Data including demographic and clinical characteristics of 307 patients followed in TRSM were obtained. The mean age of the patients was 44.17±11.23. There were 199 (64.8%) men, 205 (66.8%) single, 247 (80.5%) unemployed, 288 (95%) living with their families. 242 (78.8%) were diagnosed with schizophrenia spectrum disorder and 65 (21.2%) were diagnosed with bipolar disorder. 78 (28.9%) of them had a suicide attempt in the past. 118 (38.4%) had chronic co-morbidities. Fifty (16.3%) of the patients had past Covid-19 infection. 257 (83.7%) 1 dose, 246 (80.1%) 2 doses, 173 (56.4%) 3 doses, 61 (19.9%) 4 doses and 9 (2.9%) 5 doses 150 (48.9%) patients were vaccinated. fully vaccinated, 50 (16.3%) unvaccinated and 107 (34.9%) partially vaccinated. In the current study, vaccination rates against covid 19 were lower in SMI patients than in the general population. There was no difference between full or partial/unvaccinated groups in terms of demographic or clinical characteristics except marital status in SMI patients. Organizational changes are needed to increase vaccination rates in SMI patients.

Oxytocin as a transdiagnostic biomarker of well-being in severe mental illness during the Covid-19 pandemic

Individuals with severe mental illness (SMI) have been found to suffer a greater decline in psychological well-being compared to the general population in times of stress. The present study aimed to examine clinical and endocrine resilience factors of psychological well-being in SMI patients during the Covid-19 pandemic. Methods: After Covid-19 crisis outburst in Israel 112 participants, 69 outpatients, and 43 inpatients and day treatment patients were recruited. Outpatients signed an online informed consent and filled in questionnaires regarding their level of mental health symptoms (OQ-45), fear of Covid-19 (FCV), and psychological well-being (PWB). Inpatients answered the same questionnaires and in addition, went through a positive social interaction paradigm while providing three saliva samples to measure their s-IgA and oxytocin (OT) levels. Results: A strong negative correlation was found in the whole sample between reported mental health symptoms, fear of Covid-19, and well-being. Hierarchical regression did not find additional contribution of the fear of the pandemic in predicting well-being beyond the impact of symptomatology. For inpatients (N = 39) only, hierarchical regression found that oxytocin, but not s-IgA could explain 5% of the variance of well-being (R2 = 0.05) in individuals with SMI regardless of their mental health symptoms (R2 = 0.46) and their marital status (R2 = 0.21). Conclusions: OT is suggested as a possible independent biological resilience factor of well-being in times of major stress among SMI patients. It is still unknown whether OT is a mediator that contributes to well-being or a biological marker that indicates the degree of beneficial social interactions.

Analysis of factors associated with family disease burden and correlation with social support among family caregivers of patients with severe mental illnesses.

Caregivers are responsible for the home care of family members with severe mental illnesses (SMIs) and their lives are often subject to changes that can create stress and burden. The purpose of this study was to explore the current state of family disease burden and its correlation with social support among family caregivers of SMIs patients. Using a random sampling method, a total of 1,108 family caregivers of SMIs patients in community health service centers were selected. A general information questionnaire of family caregivers and patients, the Family Disease Burden Scale, and the Social Support Rating Scale were used. The score of the Family Disease Burden Scale of 1108 family caregivers was 16.57 ± 10.65. Family disease burden was negatively correlated with social support (p < .05). The main influencing factors of family disease burden were average annual family income, duration of illness, distance to medical care, risk of unpredictable behavior, social support, caregiver-patient relationship, gender, and comorbid chronic conditions (p < .05). Family caregivers of SMIs patients have a relatively low level of caregiver-perceived social support. Interventions to enhance perceived social support could help maintain the health of family caregivers and improve the quality of family care.

How to quit cannabis when you have a mental illness: study from the perspective of patients who have successfully quit.

Research regarding quitting cannabis use often excludes patients with severe mental illness (SMI). We investigated facilitating and impeding factors in SMI patients and their advice to others, using semi-structured interviews with 12 SMI-patients, who were daily cannabis users for ≥12 months and had fully stopped using for ≥6 months. Seeking distraction, social contacts in personal environment, avoiding temptation and support from professionals were facilitating factors in stopping. Impeding factors were withdrawal symptoms, user environment, experiencing stress and user's routine. Advice to other patients included to just do it, seek support from others, quit 'cold turkey' and acknowledge that cannabis use is a problem. Advice to mental health professionals is to discuss cannabis use from the start of treatment. It is important to inform patients that cannabis use has negative consequences and limits the effects of treatment. Do not judge cannabis use or force the patient to stop.

Development of the PREMIUM computerized adaptive testing for measuring the access and care coordination for patients with severe mental illness

Severe mental illness (SMI) patients often have complex health needs, which makes it difficult to access and coordinate their care. This study aimed to develop a computerized adaptive testing (CAT) tool, PREMIUM CAT-ACC, to measure SMI patients' experience with access and care coordination. This multicenter and cross-sectional study included 496 adult in- and out-patients with SMI (i.e., schizophrenia, bipolar disorder, or major depressive disorder). Psychometric analysis of the 13-item bank showed adequate properties, with preliminary evidence of external validity and no substantial differential item functioning for sex, age, care setting, and diagnosis, making it suitable for CAT administration. A post-hoc CAT simulation demonstrated that the tool was efficient and accurate, with an average of seven items, compared to the full item bank administration. Its use by clinicians can contribute to optimizing patient care pathways and transitioning towards more person-centered healthcare.

Clinical characteristics and outcomes of people with severe mental disorders hospitalized due to COVID-19: A nationwide population-based study

ObjetiveHospitalized COVID-19 patients with severe mental illness (SMI) have worse outcomes than counterparts without SMI. Barriers in access to acute care medical procedures among SMI patients may partially explain this phenomenon. Here, we examined differences in critical care admission and in-hospital mortality between hospitalized COVID-19 patients with and without SMI. MethodsThis population-based study used Spain's nationwide electronic health records. Based on International Classification Diseases, Tenth Revision, ICD-10-CM codes, we identified all patients aged ≥15 years hospitalized due to COVID-19 between July 1st-December 31st, 2020, and compared patients with and without SMI in terms of (i) critical care admission and (ii) in-hospital mortality – overall and stratified by age. We used logistic regression models including sex, age, and comorbidity burden as measured by Charlson Comorbidity Index Score as covariates. ResultsOf 118,691 hospital admissions due to COVID-19 of people aged ≥15 years, 1512 (1.3%) included a diagnosis of SMI. Compared to non-SMI patients, SMI patients had higher in-hospital mortality (OR,95%CI: 1.63,1.42–1.88) and were less frequently admitted to critical care (OR,95%CI: 0.70,0.58–0.85). Admission to critical care in SMI patients was lower than for non-SMI counterparts only among individuals aged ≥60 years. The magnitude of the difference in in-hospital mortality between SMI and non-SMI patients decreased as age increased. ConclusionsIndividuals with SMI had reduced critical care admission and increased in-hospital mortality compared non-SMI counterparts, suggesting that differences in delivery of acute care medical procedures may partially explain higher risk of negative outcomes among COVID-19 patients with SMI.

A Rose by Any Other Name: Gender-Affirming Care and Severe Mental Illness

The transgender population has higher rates of psychiatric disorders and stigma within medical settings. Literature suggests that gender-affirming care is the standard when working with such patients. There are limited studies regarding treating these patients with severe mental illness (SMI). This article explores how to treat SMI that impacts patients' reality to the point where their assigned sex cannot be acknowledged. The case presented is that of a transgender woman, where clarification of her natal sex was crucial to treatment. The patient denied her natal sex, endorsing a history of miscarriage. Studies on treatment of transgender SMI patients are limited. Gender-affirming treatment is the standard of care for these patients. Training how to ask pertinent questions and communicate effectively is necessary to prevent misdiagnosis, unnecessary treatment, and agitation. [ Psychiatr Ann. 2023;53(5):221–223.]

Examining Place-Based Neighborhood Factors in a Multisite Peer-Led Healthy Lifestyle Effectiveness Trial for People with Serious Mental Illness.

People with severe mental illness (SMI) experience significantly higher obesity-related comorbidities and premature mortality rates than healthy populations. The physical and social characteristics of neighborhoods where people with SMI reside can play an important role in promoting or hindering healthy eating and physical activity. However, this is seldom considered when designing and testing health behavior interventions for these populations. This study used baseline data from an obesity control trial for low-income, minority people with SMI to demonstrate the utility of assessing neighborhood- and city-level place-based factors within the context of lifestyle interventions. GIS was used to create a zip-code-level social and built environment geodatabase in New York City and Philadelphia, where the trial occurred. Chi-square and t-tests were used to assess differences in the spatial distribution of health-related built and social environment characteristics between and within cities and diet and physical activity outcomes. All types of neighborhood characteristics showed significant environmental differences between and within cities. Several neighborhood characteristics were associated with participants' baseline healthy eating and physical activity behaviors, emphasizing that place-based factors may moderate lifestyle interventions for SMI patients. Future behavioral interventions targeting place-dependent behaviors should be powered and designed to assess potential moderation by place-based factors.

Detecting individuals with severe mental illness using artificial intelligence applied to magnetic resonance imaging.

Identifying individuals at risk for severe mental illness (SMI) is crucial for prevention and early intervention strategies. While MRI shows potential for case identification even before illness onset, no practical model for mental health risk monitoring has been developed. This study aims to develop an initial version of an efficient and practical model for mental health screening among at-risk populations. A deep learning model known as Multiple Instance Learning (MIL) was adopted to train and test a SMI detection model with clinical MRI scans of 14,915 patients with SMI (age 32.98±12.01 years, 9102 women) and 4538 healthy controls (age 40.60±10.95 years, 2424 women) in the primary dataset. Validation analysis was conducted in an independent dataset with 290 patients (age 28.08±10.95 years, 169 women) and 310 healthy participants (age 33.55±11.09 years, 165 women). Another three machine learning models of ResNet, DenseNet and EfficientNet were used for comparison. We also recruited 148 individuals receiving high-stress medical school education to characterize the potential real-world utility of the MIL model in detecting risk of mental illness. Similar performance of successful differentiation of individuals with SMI and healthy controls was observed for the MIL model (AUC: 0.82) and other models (ResNet, DenseNet, EfficientNet, 0.83, 0.81, and 0.80 respectively). MIL had better generalization in the validation test than other models (AUC: 0.82 vs 0.59, 0.66 and 0.59), and less drop-off in performance from 3.0T to 1.5T scanners. The MIL model did better in predicting clinician ratings of distress than self-ratings with questionnaires (84% vs 22%) in the medical student sample. Brain regions that contributed to SMI identification were mainly neocortical, including right precuneus, bilateral temporal regions, left precentral/postcentral gyrus, bilateral medial prefrontal cortex and right cerebellum. Our digital model based on brief clinical MRI protocols identified individual SMI patients with good accuracy and high sensitivity, suggesting that with incremental improvements the approach may offer potentially useful aid for early identification and intervention to prevent illness onset in vulnerable at-risk populations. This study was supported by the National Natural Science Foundation of China, National Key Technologies R&D Program of China, and Sichuan Science and Technology Program.

Prevalence of parents and children living with parental severe mental illness: A scoping review

The care of patients with severe mental illness (SMI) is often narrowed down to the treatment of biological symptoms of the disease, whilst other psychosocial factors supporting mental health are often neglected. One of these factors influencing disease progression, compliance, self-concept, and motivation for treatment is parenthood. The first step to turning attention to this issue is to be aware of the prevalence of children living with a parent with SMI and the prevalence of parenting among SMI patients. This review aims to assess the current state of knowledge regarding methodological approaches, the prevalence rates of parenthood, the number of children living with a parent with SMI, and the sociodemographic characteristics of these families.A total of 1,156 records were retrieved from EBSCO Discovery in December 2021, and fifteen published studies addressed the review questions. The studies took various approaches to measure prevalence ̶ an epidemiological approach, a census approach, a design in which data from national registries were analysed, or cross-sectional studies in a clinical population. Nine studies investigated the prevalence of parenthood among patients with SMI, and six studies quantified the number of children living with a parent with mental illness. 1/3 of mental health service clients were parents, and 1 to 2 children out of 10 have a parent with mental illness.Parents with SMI face lower education, lower employment, lower income, higher rates of comorbid substance abuse, and higher rates of single parenthood. The aim of the review is not to give a definitive answer to the question of prevalence as much as to point out that there is not a marginal number of children living with a parent with a psychiatric disorder.

Risk factors for mortality due to natural causes and suicide among people with severe mental illness in western China

Excess mortality in people with severe mental illness (SMI) has been extensively reported. However, little is known about mortality due to natural causes and suicide and their risk factors among people with SMI in western China. The study was conducted to determine the risk factors of natural death and suicide among people with SMI in western China. A totoal of 20,195 SMI patients in western China derived from severe mental illness information system in Sichuan province (January 1, 2006, through July 31, 2018) were included in the cohort study. Mortality rates per 10,000 person-years of natural causes and suicide for patients were calculated with different characteristics. Fine-Gray competing risk model was used to identify risk factors of natural death and suicide. The mortality was 132.8 per 10,000 person-years for natural death and 13.6 per 10,000 person-years for suicide. Males, older age, divorced/widowed, poverty and no anti-psychotic treatment were significantly associated with natural death. Higher education and suicide attempt were strong risk factors of suicide. Risk factors were not shared across natural death and suicide among people with SMI in western China. Risk management and interventions for people with SMI should be tailored for specific causes of death.

Physical health disparities and severe mental illness: A longitudinal comparative cohort study using hospital data in Northern Ireland.

People with severe mental illness (SMI) die prematurely, mostly due to preventable causes. To examine multimorbidity and mortality in people living with SMI using linked administrative datasets. Analysis of linked electronically captured routine hospital administrative data from Northern Ireland (2010-2021). We derived sex-specific age-standardised rates for seven chronic life-limiting physical conditions (chronic kidney disease, malignant neoplasms, diabetes mellitus, chronic obstructive pulmonary disease, chronic heart failure, myocardial infarction, and stroke) and used logistic regression to examine the relationship between SMI, socio-demographic indicators, and comorbid conditions; survival models quantified the relationship between all-cause mortality and SMI. Analysis was based on 929,412 hospital patients aged 20years and above, of whom 10,965 (1.3%) recorded a diagnosis of SMI. Higher likelihoods of an SMI diagnosis were associated with living in socially deprived circumstances, urbanicity. SMI patients were more likely to have more comorbid physical conditions than non-SMI patients, and younger at referral to hospital for each condition, than non-SMI patients. Finally, in fully adjusted models, SMI patients had a twofold excess all-cause mortality. Multiple morbidities associated with SMI can drive excess mortality. While SMI patients are younger at referral to treatment for these life-limiting conditions, their relatively premature death suggests that these conditions are also quite advanced. There is a need for a more aggressive approach to improving the physical health of this population.

Serum cytokine variations among inpatients with major depression, bipolar disorder, and schizophrenia versus healthy controls: a prospective ‘true-to-life’ study

There is increasing evidence of the association between chronic low-grade inflammation and severe mental illness (SMI). The objective of our study was to assess serum cytokine levels (SCLs) at admission and discharge in a true-to-life-setting population of inpatients with major depression (MD), bipolar disorder (BD), and schizophrenia (Sz), as well as of healthy controls. We considered MD, BD, and Sz to be SMIs. We evaluated 206 inpatients [MD, N = 92; BD, N = 26; mania (Ma), N = 44; Sz, N = 44). Generalized estimating equations were used to analyze variations in SCL [interferon gamma (IFN-γ), tumor necrosis factor alpha (TNF-α), interleukin (IL)-2, IL-4, IL-6, IL-10, and IL-17] at hospital admission and discharge. Results of 100 healthy controls were compared with those of SMI patients at both time points. We evaluated patients' improvement during in-hospital treatment in terms of general psychiatric symptoms, global clinical impression, functionality, and manic and depressive symptoms with validated scales. In all, 68.9% of patients completed the study. Overall, SMI inpatients had higher SCL when compared with controls regardless of diagnosis. There was a significant decrease in Brief Psychiatric Rating Scale (BPRS) and Clinical Global Impression-Severity Scale (CGI-S) scores, and an increase in Global Assessment of Functioning (GAF) scores for all disorders evaluated (p < 0.001), as well as a significant decrease in HDRS-17 scores among MD inpatients (p < 0.001) and in YMRS scores among Ma inpatients (p < 0.001). IL-2 and IL-6 levels decreased significantly between admission and discharge only among MD inpatients (p = 0.002 and p = 0.03, respectively). We found no further statistically significant changes in SCL among the remaining disorders (BD, Ma, and Sz). There was no significant decrease in IFN-γ (p = 0.64), TNF-α (p = 0.87), IL-4 (p = 0.21), IL-10 (p = 0.88), and IL-17 (p = 0.71) levels in any of the evaluated diagnoses. MD inpatients had a decrease in IL-2 and IL-6 levels during hospitalization, which was accompanied by clinical improvement. No associations were found for the remaining SMIs (BD, Ma, and Sz).

The RAS-24: Development and validation of an adherence-to-medication scale for severe mental illness patients

Several studies have found that most patients with severe mental illness (SMI) and comorbid (physical) conditions are partially or wholly nonadherent to their medication regimens. Nonadherence to treatment is a serious concern, affecting the successful management of patients with SMIs. Psychiatric disorders tend to worsen and persist in nonadherent patients, worsening their overall health. The study described herein aimed to develop and validate a scale (the Ralat Adherence Scale) to measure nonadherence behaviors in a culturally sensitive way. Guided by a previous study that explored the primary reasons for nonadherence in Puerto Rican patients, we developed a pool of 147 items linked to the concept of adherence. Nine experts reviewed the meaning, content, clarity, and relevance of the individual items, and a content validity ratio was calculated for each one. Forty items remained in the scale's first version. This version was administered to 160 patients (21-60 years old). All the participants had a diagnosis of bipolar disorder, major depressive disorder, or schizoaffective disorder. The STROBE checklist was used as the reporting guideline. The scale had very good internal consistency (Cronbach's alpha = 0.812). After a factor analysis, the scale was reduced to 24 items; the new scale had a Cronbach's alpha of 0.900. This adherence scale is a self-administered instrument with very good psychometric properties; it has yielded important information about nonadherence behaviors. The scale can help health professionals and researchers to assess patient adherence or nonadherence to a medication regimen.

Inflammation and cognition in severe mental illness: patterns of covariation and subgroups

A potential relationship between dysregulation of immune/inflammatory pathways and cognitive impairment has been suggested in severe mental illnesses (SMI), such as schizophrenia (SZ) and bipolar (BD) spectrum disorders. However, multivariate relationships between peripheral inflammatory/immune-related markers and cognitive domains are unclear, and many studies do not account for inter-individual variance in both cognitive functioning and inflammatory/immune status. This study aimed to investigate covariance patterns between inflammatory/immune-related markers and cognitive domains and further elucidate heterogeneity in a large SMI and healthy control (HC) cohort (SZ = 343, BD = 289, HC = 770). We applied canonical correlation analysis (CCA) to identify modes of maximum covariation between a comprehensive selection of cognitive domains and inflammatory/immune markers. We found that poor verbal learning and psychomotor processing speed was associated with higher levels of interleukin-18 system cytokines and beta defensin 2, reflecting enhanced activation of innate immunity, a pattern augmented in SMI compared to HC. Applying hierarchical clustering on covariance patterns identified by the CCA revealed a high cognition—low immune dysregulation subgroup with predominantly HC (24% SZ, 45% BD, 74% HC) and a low cognition—high immune dysregulation subgroup predominantly consisting of SMI patients (76% SZ, 55% BD, 26% HC). These subgroups differed in IQ, years of education, age, CRP, BMI (all groups), level of functioning, symptoms and defined daily dose (DDD) of antipsychotics (SMI cohort). Our findings suggest a link between cognitive impairment and innate immune dysregulation in a subset of individuals with severe mental illness.

Social factors affecting relapse of severe mental illness: A qualitative analysis of healthcare team's perceptions

Objective: Relapse is a challenge for patients with severe mental illness (SMI). The purpose of present study was to explain the health care team’s perception of social factors affecting SMI relapse.&#x0D; Methods: In this qualitative content analysis study, semi-structured interviews have been conducted with 23 members of healthcare team. Content analysis was used to categorize the data.&#x0D; Results: The social factors affecting the relapse of SMI could be classified in three categories of community-related factors, cultural factors, and family-related factors. The first category included low socioeconomic status, lack of community support for SMI patients, and insufficient awareness of community about SMI. The second category included false beliefs and misconceptions, and negative attitudes towards SMI. The third category also included dysfunctional family and non-supportive family.&#x0D; Conclusion: In order to deal with cultural misconceptions that lead to the relapse of SMI, it is necessary to implement culture-based interventions to correctly confront negative attitudes and stigmatized beliefs and fight against cultural taboos that govern the phenomenon of SMI relapse in Iran. It seems that the implementation of family-centered interventions for the family of patients with SMI can reduce the burden of family-related factors in disease relapse.