Effective e-health design for those with, and without, mental health disorders: shallow navigation, concentrated contents, modest number of links, one screen area for links. (Preprint)

2018 ◽  
Author(s):  
Armando Rotondi ◽  
Jonathan Grady ◽  
Barbara H. Hanusa ◽  
Michael R. Spring ◽  
Kaleab Z. Abebe ◽  
...  
Keyword(s):  
Mental Illness ◽  
Severe Mental Illness ◽  
Success Rate ◽  
Fractional Factorial ◽  
Mental Illnesses ◽  
Schizophrenia Spectrum Disorders ◽  
Design Elements ◽  
Website Usability ◽  
Schizophrenia Spectrum ◽  
Health Applications

BACKGROUND E-health applications are an avenue to improve service responsiveness, convenience, and appeal, and tailor treatments to improve relevance, engagement, and use. It is critical to user engagement that the designs of e-health applications are intuitive to navigate. Limited research exists on designs that work for those with a severe mental illness, many of whom infrequently seek treatment, and tend to discontinuation medications and psychosocial treatments. OBJECTIVE The purpose of this study was to evaluate the influence of 12 design elements (e.g., website depth, reading level, use of navigational lists) on the usability of e-health application websites for those with, and without, mental health disorders (including severe mental illness). METHODS A 212-4 fractional factorial experimental design was used to specify the designs of 256 e-health websites, which systematically varied the 12 design elements. The final destination contents of all websites were identical, only the navigational pages varied. Three subgroups of participants comprising 226 individuals, were used to test these websites (those with schizophrenia-spectrum disorders, other mental illnesses, and no mental illness). Unique to this study was that the 12 design elements were manipulated systematically to allow assessment of combinations of design elements rather than only one element at a time. RESULTS The best and worst designs were identified for each of the three subgroups, and the sample overall. The depth of a website’s navigation, that is, the number of screens/pages users needed to navigate to find desired content, had the strongest influence on usability (ability to find information). The worst performing design for those with schizophrenia-spectrum disorders had an 8.6% success rate (ability to find information), the best had a 53.2% success rate. The navigational design made a 45% difference in usability. For the subgroup with other mental illnesses the design made a 52% difference, and for those with no mental illness a 50% difference in success rate. The websites with the highest usability all had several key similarities, as did the websites with the poorest usability. A unique finding is that the influences on usability of some design elements are variable. For these design elements, whether they had a positive or negative effect, and the size of its effect, could be influenced by the rest of the design environment, that is, the other elements in the design. This was not the case for navigational depth, a shallower hierarchy is better than a deeper hierarchy. CONCLUSIONS It is possible to identify evidence-based strategies for designing e-health applications that result in a high level of usability. Even for those with schizophrenia, or other severe mental illnesses, there are designs that are highly effective. The best designs have key similarities, but can also vary in some respects. Key words: schizophrenia, severe mental illness, e-health, design, website, usability, website design, website usability, fractional factorial design.

scholarly journals Key Variables for Effective eHealth Designs for Individuals With and Without Mental Health Disorders: 2^12-4 Fractional Factorial Experiment (Preprint)

2020 ◽  
Author(s):  
Armando J Rotondi ◽  
Jonathan Grady ◽  
Barbara H Hanusa ◽  
Gretchen L Haas ◽  
Michael R Spring ◽  
...  
Keyword(s):  
Mental Illness ◽  
Success Rate ◽  
Reading Level ◽  
Fractional Factorial ◽  
Mental Illnesses ◽  
Factorial Experiment ◽  
Classification And Regression Tree ◽  
Mixed Effect ◽  
Design Elements ◽  
Design Variables

BACKGROUND eHealth applications not only offer the potential to increase service convenience and responsiveness but also expand the ability to tailor services to improve relevance, engagement, and use. To achieve these goals, it is critical that the designs are intuitive. Limited research exists on designs that work for those with a severe mental illness (SMI), many of whom have difficulty traveling for treatments, reject or infrequently seek treatment, and tend to discontinue treatments for significant periods. OBJECTIVE This study aims to evaluate the influence of 12 design variables (eg, navigational depth, reading level, and use of navigational lists) on the usability of eHealth application websites for those with and without SMI. METHODS A 2<sup>12-4</sup> fractional factorial experiment was used to specify the designs of 256 eHealth websites. This approach systematically varied the 12 design variables. The final destination contents of all websites were identical, and only the designs of the navigational pages varied. The 12 design elements were manipulated systematically to allow the assessment of combinations of design elements rather than only one element at a time. Of the 256 websites, participants (n=222) sought the same information on 8 randomly selected websites. Mixed effect regressions, which accounted for the dependency of the 8 observations within participants, were used to test for main effects and interactions on the ability and time to find information. Classification and regression tree analyses were used to identify effects among the 12 variables on participants’ abilities to locate information, for the sample overall and each of the 3 diagnostic groups of participants (schizophrenia spectrum disorder [SSD], other mental illnesses, and no mental illness). RESULTS The best and worst designs were identified for each of these 4 groups. The depth of a website’s navigation, that is, the number of screens users needed to navigate to find the desired content, had the greatest influence on usability (ability to find information) and efficiency (time to find information). The worst performing designs for those with SSD had a 9% success rate, and the best had a 51% success rate: the navigational designs made a 42% difference in usability. For the group with other mental illnesses, the design made a 50% difference, and for those with no mental illness, a 55% difference was observed. The designs with the highest usability had several key design similarities, as did those with the poorest usability. CONCLUSIONS It is possible to identify evidence-based strategies for designing eHealth applications that result in significantly better performance. These improvements in design benefit all users. For those with SSD or other SMIs, there are designs that are highly effective. Both the best and worst designs have key similarities but vary in some characteristics. CLINICALTRIAL

scholarly journals Metabolic phenotyping reveals a potential link between elevated faecal amino acids, diet and symptom severity in individuals with severe mental illness

2021 ◽  
Author(s):  
Jack Jansma ◽  
Rogier van Essen ◽  
Bartholomeus C.M. Haarman ◽  
Anastasia Chrysovalantou Chatziioannou ◽  
Jenny Borkent ◽  
...  
Keyword(s):  
Amino Acids ◽  
Mental Illness ◽  
Severe Mental Illness ◽  
Symptom Severity ◽  
Psychiatric Symptoms ◽  
Mental Illnesses ◽  
Therapeutic Interventions ◽  
Schizophrenia Spectrum Disorders ◽  
Potential Link ◽  
The Brain

The brain-gut axis is increasingly recognized as an important contributing factor in the onset and progression of severe mental illnesses such as schizophrenia spectrum disorders and bipolar disorder. This study investigates associations between levels of faecal metabolites identified using 1H-NMR, clinical parameters, and dietary components of forty-two individuals diagnosed in a transdiagnostic approach to have severe mental illness. Faecal levels of the amino acids; alanine, leucine, and valine showed a significant positive correlation with psychiatric symptom severity as well as with dairy intake. Overall, this study proposes a diet-induced link between the brain-gut axis and the severity of psychiatric symptoms, which could be valuable in the design of novel dietary or therapeutic interventions to improve psychiatric symptoms.

scholarly journals COVID-19-Related Mortality Risk in People With Severe Mental Illness: A Systematic and Critical Review

2022 ◽  
Vol 12 ◽  
Author(s):  
Marc De Hert ◽  
Victor Mazereel ◽  
Marc Stroobants ◽  
Livia De Picker ◽  
Kristof Van Assche ◽  
...  
Keyword(s):  
Mental Illness ◽  
Severe Mental Illness ◽  
Mortality Risk ◽  
Schizophrenia Spectrum Disorders ◽  
Targeted Interventions ◽  
Risk Of Death ◽  
Schizophrenia Spectrum ◽  
Increased Risk ◽  
Spectrum Disorders ◽  
Related Mortality

Background: Increasing clinical evidence suggests that people with severe mental illness (SMI), including schizophrenia spectrum disorders, bipolar disorder (BD), and major depressive disorder (MDD), are at higher risk of dying from COVID-19. Several systematic reviews examining the association between psychiatric disorders and COVID-19-related mortality have recently been published. Although these reviews have been conducted thoroughly, certain methodological limitations may hinder the accuracy of their research findings.Methods: A systematic literature search, using the PubMed, Embase, Web of Science, and Scopus databases (from inception to July 23, 2021), was conducted for observational studies assessing the risk of death associated with COVID-19 infection in adult patients with pre-existing schizophrenia spectrum disorders, BD, or MDD. Methodological quality of the included studies was assessed using the Newcastle-Ottawa Scale (NOS).Results: Of 1,446 records screened, 13 articles investigating the rates of death in patients with pre-existing SMI were included in this systematic review. Quality assessment scores of the included studies ranged from moderate to high. Most results seem to indicate that patients with SMI, particularly patients with schizophrenia spectrum disorders, are at significantly higher risk of COVID-19-related mortality, as compared to patients without SMI. However, the extent of the variation in COVID-19-related mortality rates between studies including people with schizophrenia spectrum disorders was large because of a low level of precision of the estimated mortality outcome(s) in certain studies. Most studies on MDD and BD did not include specific information on the mood state or disease severity of patients. Due to a lack of data, it remains unknown to what extent patients with BD are at increased risk of COVID-19-related mortality. A variety of factors are likely to contribute to the increased mortality risk of COVID-19 in these patients. These include male sex, older age, somatic comorbidities (particularly cardiovascular diseases), as well as disease-specific characteristics.Conclusion: Methodological limitations hamper the accuracy of COVID-19-related mortality estimates for the main categories of SMIs. Nevertheless, evidence suggests that SMI is associated with excess COVID-19 mortality. Policy makers therefore must consider these vulnerable individuals as a high-risk group that should be given particular attention. This means that targeted interventions to maximize vaccination uptake among these patients are required to address the higher burden of COVID-19 infection in this already disadvantaged group.

scholarly journals Design and pilot evaluation of an evidence-based worksheet and clinician guide to facilitate nutrition counselling for patients with severe mental illness

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Laura LaChance ◽  
Monique Aucoin ◽  
Kieran Cooley
Keyword(s):  
Mental Health ◽  
Mental Illness ◽  
Clinical Practice ◽  
Lived Experience ◽  
Premature Mortality ◽  
Mental Illnesses ◽  
Psychiatric Training ◽  
Schizophrenia Spectrum Disorders ◽  
Nutritional Counselling ◽  
Schizophrenia Spectrum

Abstract Background Schizophrenia spectrum disorders (SSD) are severe, persistent mental illnesses resulting in considerable disability and premature mortality. Emerging evidence suggests that diet may be a modifiable risk factor in mental illness; however, use of nutritional counselling as a component of psychiatric clinical practice is limited. The objective of this project is the design and evaluate a worksheet and clinician guide for use in facilitating nutritional counseling in the context of existing mental health care. Methods The worksheet and clinician guide were developed based on the results of a recent scoping review on the relationship between diet and mental health symptoms among individuals with SSD. A feedback process involved a focus group with psychiatrists and interviews with individuals with lived experience with psychosis. Participants were asked a series of structured and open-ended questions. Interviews were transcribed and data units were allocated to categories from an existing framework. The comments were used to guide modifications to the worksheet and clinician guide. A brief interview with all participants was completed to gather feedback on the final version. Results Five psychiatrist participants and six participants with lived experience completed interviews. Participants provided positive comments related to the worksheet design, complexity and inclusion of interactive components. A novel theme emerged relating to the lack of nutritional counselling in psychiatric training and clinical practice. Many constructive comments were provided which resulted in meaningful revisions and improvements to the worksheet and clinician guide design and content. All participants were satisfied with the final versions. Conclusions A worksheet and clinician guide designed to facilitate nutritional counselling with individuals with SSD was found to be acceptable to all participants following a process of feedback and revision. Further research and dissemination efforts aimed at increasing the use of nutritional counselling in psychiatric practice are warranted.

Sleep and cognition in schizophrenia spectrum disorders: A systematic review protocol.

2020 ◽  
Author(s):  
Sean Carruthers ◽  
Gemma Brunetti ◽  
Susan Rossell
Keyword(s):  
Systematic Review ◽  
Mental Illnesses ◽  
Schizophrenia Spectrum Disorders ◽  
Systematic Review Protocol ◽  
Schizophrenia Spectrum Disorder ◽  
Schizophrenia Spectrum ◽  
Review Protocol ◽  
Spectrum Disorders ◽  
Sleep And Cognition ◽  
The Relationship

Schizophrenia spectrum disorders are chronic and debilitating mental illnesses characterised by both cognitive impairments and sleep deficits. In this systematic review protocol, we outline an approach to examine the available literature investigating the relationship between sleep and cognition in individuals with schizophrenia spectrum disorder.

scholarly journals T194. SUBJECTIVE ANOMALIES OF IMAGINATION AGGREGATE IN SCHIZOPHRENIA-SPECTRUM DISORDERS AND ARE ASSOCIATED WITH DISORDERS OF BASIC SELF

2020 ◽  
Vol 46 (Supplement_1) ◽  
pp. S305-S305
Author(s):  
Andreas Rosén Rasmussen ◽  
Josef Parnas
Keyword(s):  
Mental Illness ◽  
Cross Sectional Study ◽  
Multivariate Linear Regression Analysis ◽  
Healthy Controls ◽  
Schizophrenia Spectrum Disorders ◽  
Sectional Study ◽  
Cross Sectional ◽  
Schizophrenia Spectrum ◽  
Spectrum Disorders ◽  
Schizotypal Disorder

Abstract Background Imagination is the formation of ideas or images of something known not to be present to the senses. Clinical psychopathology has few notions addressing this domain apart from obsession and rumination. Some classic psychopathological notions such as Jaspers’ concept of pseudohallucination or the pseudo-obsession are relevant to this area. In a recent research project, informed by contemporary philosophy of mind and phenomenology, we have developed novel concepts targeting subjective disturbances of imagination and fantasy life with a focus on the schizophrenia-spectrum. Patients describe a spatialization of images, i.e., stable imagery with an articulated spatial structure being liable to inspection ‘from afar in the mind’ and often undergoing an autonomous development independently of the will of the patient (‘like watching a movie in the head’). Other notions address tacit, non-psychotic erosions of the demarcation of fantasy life from perception and memory. A broad range of ideations (such as ‘daydreams’, ‘fears’, anticipations, intrusions, paranoid or suicidal ideation) may involve such structural disturbances of experience. Here, we present data from the first, cross-sectional study investigating the distribution of anomalies of imagination in different diagnostic groups and healthy controls as well as their association with positive symptoms, negative symptoms and disorders of basic selfhood. Methods The sample (N=81) included in- and outpatients with schizophrenia or another non-affective psychosis (N=32), outpatients with schizotypal disorder (N=15) or other mental illness (N=16) and healthy controls (N=18). The sample was 70% female with mean age 29.9 (SD 6.8; range 18–42) years. Anomalies of imagination were assessed with the Examination of anomalous fantasy and imagination (EAFI), which is an instrument recently developed in our group for a semi-structured interview exploring these experiences. The EAFI has shown very good reliability with average Kappa of 0.84. Disorders of basic self were assessed with the Examination of anomalous self experience (EASE) and positive, negative and general symptoms with the Positive and Negative Syndrome Scale (PANSS). Results Anomalies of imagination aggregated significantly (p &lt; 0.000, Kruskall-Wallis test) in the schizophrenia-spectrum disorders compared to other mental illness with no significant difference between schizophrenia and schizotypal disorder. The group of healthy controls very rarely reported these anomalies and scored significantly lower (p &lt; 0.000) than all diagnostic groups. In multivariate linear regression analysis (R2 = 0.66), EAFI score was significantly associated with EASE score (β = 0.62, p &lt; 0.000), PANSS positive (β = 0.34, p = 0.01) and PANSS negative (β = 0.29, p = 0.02), but not PANSS general score (β = -0.29, p = 0.07). More than 79% of the schizophrenia-spectrum patients retrospectively reported the onset of these experiences to adolescence or earlier. Discussion The results of this cross-sectional study support that the subjective anomalies of imagination, targeted with the EAFI, are associated with the schizophrenia-spectrum. The association with disorders of basic self, which has been shown to have trait-like characteristics and to predict transition to schizophrenia-spectrum disorders, may reflect that the anomalies of imagination share a common experiential core-structure with self disorders. We suggest that the anomalies of imagination belong to an early onset level of psychopathology in the schizophrenia-spectrum and may have a relevance for differential diagnosis and early detection.

scholarly journals How do ethnicity and deprivation impact on life expectancy at birth in people with serious mental illness? Observational study in the UK

2020 ◽  
pp. 1-9
Author(s):  
Jayati Das-Munshi ◽  
Chin-Kuo Chang ◽  
Alex Dregan ◽  
Stephani L. Hatch ◽  
Craig Morgan ◽  
...  
Keyword(s):  
General Population ◽  
Life Expectancy ◽  
Bipolar Disorders ◽  
Mental Illnesses ◽  
Schizophrenia Spectrum Disorders ◽  
Life Expectancy At Birth ◽  
Schizophrenia Spectrum ◽  
Spectrum Disorders ◽  
The Impact ◽  
Deprived Areas

Abstract Background Across international contexts, people with serious mental illnesses (SMI) experience marked reductions in life expectancy at birth. The intersection of ethnicity and social deprivation on life expectancy in SMI is unclear. The aim of this study was to assess the impact of ethnicity and area-level deprivation on life expectancy at birth in SMI, defined as schizophrenia-spectrum disorders, bipolar disorders and depression, using data from London, UK. Methods Abridged life tables to calculate life expectancy at birth, in a cohort with clinician-ascribed ICD-10 schizophrenia-spectrum disorders, bipolar disorders or depression, managed in secondary mental healthcare. Life expectancy in the study population with SMI was compared with life expectancy in the general population and with those residing in the most deprived areas in England. Results Irrespective of ethnicity, people with SMI experienced marked reductions in life expectancy at birth compared with the general population; from 14.5 years loss in men with schizophrenia-spectrum and bipolar disorders, to 13.2 years in women. Similar reductions were noted for people with depression. Across all diagnoses, life expectancy at birth in people with SMI was lower than the general population residing in the most deprived areas in England. Conclusions Irrespective of ethnicity, reductions in life expectancy at birth among people with SMI are worse than the general population residing in the most deprived areas in England. This trend in people with SMI is similar to groups who experience extreme social exclusion and marginalisation. Evidence-based interventions to tackle this mortality gap need to take this into account.

scholarly journals A Qualitative Study Exploring the Lived Experience of Unemployment Among People with Severe Mental Illness

2020 ◽  
Vol 42 (5) ◽  
pp. 435-444
Author(s):  
Reema Samuel ◽  
Abirame S. ◽  
K. S. Jacob
Keyword(s):  
Mental Illness ◽  
Severe Mental Illness ◽  
Lived Experience ◽  
Health Care Professionals ◽  
Bipolar Affective Disorder ◽  
Community Support ◽  
Role Expectations ◽  
Mental Illnesses ◽  
Economic Productivity ◽  
Barriers To Employment

Background: Severe mental illnesses lead to deterioration in the life skills of the patient, resulting in socio-occupational dysfunction and low rates of employment. The purpose of this study was to explore attitudes, knowledge, and barriers to employment as experienced by patients and their caregivers in India. Method: Patients with schizophrenia or bipolar affective disorder, aged between 18 and 60 and undergoing inpatient treatment and their caregivers, were approached for written informed consent and recruited for focus group discussions. A total of eight focus groups were conducted until saturation of themes was seen to have been achieved. The data were transcribed, coded, synthesized, and organized into major findings and implications for practice. Results: Role expectations based on gender were seen to influence the decision to work. The possible recurrence of illness due to excess stress and unsupportive working environments was cited as the most common problem that could arise related to employment. Stigma and faulty attributions related to the illness were the most cited barriers to employment. Most participants felt that psychosocial rehabilitation and family and community support were essential for facilitating work. Most participants did not consider mental illness as a disability and were unaware of government schemes for the mentally ill. Conclusion: Considering gender-based role expectations, avenues for self/family employment and improving the awareness of benefits for mental illness both among consumers and health care professionals are essential to enhance economic productivity in people with severe mental illness.

scholarly journals An Overview of Cognitive Remediation Therapy for People with Severe Mental Illness

2013 ◽  
Vol 2013 ◽  
pp. 1-6 ◽  
Author(s):  
Cherrie Galletly ◽  
Ashlee Rigby
Keyword(s):  
Mental Illness ◽  
Cognitive Function ◽  
Mental Disorders ◽  
Severe Mental Illness ◽  
Cognitive Deficits ◽  
Cognitive Remediation ◽  
Mental Illnesses ◽  
Cognitive Remediation Therapy ◽  
Severe Mental Disorders ◽  
Varying Length

Cognitive remediation refers to nonpharmacological methods of improving cognitive function in people with severe mental disorders. Cognitive remediation therapy (CRT) can be delivered via computerised programs, of varying length and complexity, or can be undertaken one-on-one by a trained clinician. There has been a considerable interest in cognitive remediation, driven by recognition that cognitive deficits are a major determinant of outcome in people with severe, chronic mental illnesses. CRT has been shown to be effective, especially if combined with vocational rehabilitation.

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