Coordinated Technology-Delivered Treatment to Prevent Rehospitalization in Schizophrenia: A Novel Model of Care

Predictors of Use and Drop Out From a Web-Based Cognitive Behavioral Therapy Program and Health Community for Depression and Anxiety in Primary Care Patients: Secondary Analysis of a Randomized Controlled Trial

BACKGROUND

A previously reported study examined the treatment of primary care patients with at least moderate severity depressive or anxiety symptoms via an evidence-based computerized cognitive behavioral therapy (CCBT) program (Beating the Blues) and an online health community (OHC) that included a moderated internet support group. The 2 treatment arms proved to be equally successful at 6-month follow-up.

OBJECTIVE

Although highly promising, e-mental health treatment programs have encountered high rates of noninitiation, poor adherence, and discontinuation. Identifying ways to counter these tendencies is critical for their success. To further explore these issues, this study identified the primary care patient characteristics that increased the chances patients would not initiate the use of an intervention, (ie, not try it even once), initiate use, and go on to discontinue or continue to use an intervention.

METHODS

The study had 3 arms: one received access to CCBT (n=301); another received CCBT plus OHC (n=302), which included a moderated internet support group; and the third received usual care (n=101). Participants in the 2 active intervention arms of the study were grouped together for analyses of CCBT use (n=603) because both arms had access to CCBT, and there were no differences in outcomes between the 2 arms. Analyses of OHC use were based on 302 participants who were randomized to that arm.

RESULTS

Several baseline patient characteristics were associated with failure to initiate the use of CCBT, including having worse physical health (measured by the Short Form Health Survey Physical Components Score, P=.01), more interference from pain (by the Patient-Reported Outcomes Measurement Information System Pain Interference score, P=.048), less formal education (P=.02), and being African American or another US minority group (P=.006). Characteristics associated with failure to initiate use of the OHC were better mental health (by the Short Form Health Survey Mental Components Score, P=.04), lower use of the internet (P=.005), and less formal education (P=.001). Those who initiated the use of the CCBT program but went on to complete less of the program had less formal education (P=.01) and lower severity of anxiety symptoms (P=.03).

CONCLUSIONS

This study found that several patient characteristics predicted whether a patient was likely to not initiate use or discontinue the use of CCBT or OHC. These findings have clear implications for actionable areas that can be targeted during initial and ongoing engagement activities designed to increase patient buy-in, as well as increase subsequent use and the resulting success of eHealth programs.

TRIAL REGISTRATION

ClinicalTrials.gov NCT01482806; https://clinicaltrials.gov/study/NCT01482806.

Relapse prevention through health technology program reduces hospitalization in schizophrenia

BACKGROUND

Psychiatric hospitalization is a major driver of cost in the treatment of schizophrenia. Here, we asked whether a technology-enhanced approach to relapse prevention could reduce days spent in a hospital after discharge.

METHODS

The Improving Care and Reducing Cost (ICRC) study was a quasi-experimental clinical trial in outpatients with schizophrenia conducted between 26 February 2013 and 17 April 2015 at 10 different sites in the USA in an outpatient setting. Patients were between 18 and 60 years old with a diagnosis of schizophrenia, schizoaffective disorder, or psychotic disorder not otherwise specified. Patients received usual care or a technology-enhanced relapse prevention program during a 6-month period after discharge. The health technology program included in-person, individualized relapse prevention planning with treatments delivered via smartphones and computers, as well as a web-based prescriber decision support program. The main outcome measure was days spent in a psychiatric hospital during 6 months after discharge.

RESULTS

The study included 462 patients, of which 438 had complete baseline data and were thus used for propensity matching and analysis. Control participants (N = 89; 37 females) were enrolled first and received usual care for relapse prevention followed by 349 participants (128 females) who received technology-enhanced relapse prevention. During 6-month follow-up, 43% of control and 24% of intervention participants were hospitalized (χ2 = 11.76, p<0.001). Days of hospitalization were reduced by 5 days (mean days: b = -4.58, 95% CI -9.03 to -0.13, p = 0.044) in the intervention condition compared to control.

CONCLUSIONS

These results suggest that technology-enhanced relapse prevention is an effective and feasible way to reduce rehospitalization days among patients with schizophrenia.

Technology-enabled collaborative care for youth with early psychosis: A protocol for a feasibility study to improve physical health behaviours

AIM

Individuals with psychotic disorders have poorer health outcomes and die earlier due to cardiovascular diseases when compared to healthy populations. Contributing factors include low levels of physical activity, poor nutrition and tobacco smoking. Currently, patients navigate a fragmented health-care system to seek physical and mental health services, often without access to evidence-based health promotion interventions, especially in non-academic settings or rural areas, increasing client barriers at the individual and provider level. To address these gaps, we wish to test the feasibility and impact of a Technology-Enabled Collaborative Care for Youth (TECC-Y) model to improve healthy behaviours among youth with early psychosis. The model addresses geographical barriers and maldistribution of physical and mental health care.

METHODS

A randomized controlled trial, including youth (ages of 16-29) with early psychosis (diagnosed in the past 5 years) residing in Ontario, Canada. Our primary outcome is client engagement. Secondary outcomes include smoking status, physical health and nutrition. Participants are randomly assigned to either a health coach supervised by a virtual care team, or a self-directed learning group (e-platform with psychoeducational materials). Assessments are conducted at baseline, 6, 12 and 24 weeks.

RESULTS

This paper presents the protocol of the study. Recruitment commenced in August 2018. This study was registered on 16 July 2018 on clinicaltrials.gov (Registry ID: NCT03610087).

CONCLUSIONS

TECC-Y will determine if a technology-based collaborative care model engages youth with early psychosis, and whether this will be associated with changes in smoking, physical health and nutrition.

First-episode psychosis: How long does it last? A review of evolution and trajectory

Study of first-episode psychosis (FEP), an episode of psychotic nature which manifests for the first time in an individual in the longitudinal continuum of his/her illness, has been study matter of research interest in recent years. A comprehensive review of the literature will help us understand the evolution and trajectory of this concept better. A literature review of available articles addressing the concept, phenomenology, evolution, identification, course, and outcome of FEP was done; the same was subsequently divided into broad topics for better clarity and analyzed. FEP constituted a clinical psychotic phenomenon with underlying significant heterogeneity in diagnosis, stability, course, and outcome. The study has attempted to view FEP both as horizontal spectrum across various diagnoses and longitudinally ranging from asymptomatic individual with unknown risk status to attenuated psychosis to multiple relapses/unremitting illness. Many risk and protective factors have been brought out with varying certainty ranging bio-psycho-social spectrum. Efforts have been made to calculate polygenic risk score based on genes involvement/sharing between various psychotic spectrum disorders; as well as biomarker panels to identify people at risk. FEP may prove to be an important concept to understand psychosis in general; without putting things into the diagnostic rubric. It may help understand multiple risk and protective factors for the course and outcome of psychotic illness and may clear the cloud to sharpen the evidence toward commonality and distinctiveness between various psychotic diagnoses in vogue for more comprehensive concept.

A web-based adapted physical activity program (e-APA) versus health education program (e-HE) in patients with schizophrenia and healthy volunteers: study protocol for a randomized controlled trial (PEPSY V@Si)

Patients with schizophrenia (SZ) have a high level of cardiovascular morbidity and some clinical symptoms of illness remain resistant to pharmacological approaches. A large number of studies support the effectiveness of physical activity (PA) in SZ. The aims of this trial is to assess the effects of a remote, web-based adapted PA program (e-APA) compared to a health education program (e-HE) on brain plasticity in SZ and healthy volunteers (HV) and on psychiatric, neurocognitive, circadian and physical variables. The study is an interventional, multicenter, randomized open-label trial. Forty-two SZ will be randomized to either the active group (e-APA, N = 21) or nonactive group (e-HE, N = 21), and 21 HV will be matched to SZ according to age, gender, and level of PA in both e-APA and e-HE groups. Interventions will consist of 32 sessions (2 × 60 min/week, for 16 weeks) via supervised home-based videoconferencing. Cerebral magnetic resonance imaging, psychiatric symptoms, neurocognitive and circadian rhythms assessments as well as physical tests and biological analyses will be assessed at baseline and 16 weeks after the intervention. To our knowledge, this is the first study aiming to evaluate the efficacy of APA delivered by supervised home-based videoconferencing in SZ. Moreover, using multimodal MRI, this study could clarify the pathophysiological mechanisms underlying the efficacy of APA. Finally, this innovative approach might also increase participation in long-term PA since PA-based programs are known to have low adherence and early dropout. Trial registration: ClinicalTrials.gov identifier: NCT03261817. Registered on 16 August 2017.

A synergistic effect between family intervention and rTMS improves cognitive and negative symptoms in schizophrenia: A randomized controlled trial

OBJECTIVE

The present study explored an efficient new therapy that combined repetitive transcranial magnetic stimulation (rTMS) and family intervention in addition to risperidone to improve schizophrenia.

METHODS

A randomized controlled trial (January 2016-September 2017) involving 200 patients, of which 188 patients completed the 12-week study, and 50 controls were conducted in the research. The patients were randomly assigned to 12 weeks of treatment with risperidone alone (risperidone group), rTMS and risperidone (rTMS group), family intervention and risperidone (family intervention group), rTMS and risperidone plus family intervention (combined group). MATRICS Consensus Cognitive Battery (MCCB) and the Positive and Negative Symptoms Scale (PANSS) were used to evaluate treatment efficacy. Repeated measures analysis of variance (RMANOVA) were performed to evaluate different treatment efficacy between four groups after 12 weeks of treatment.

RESULTS

(1) There were no significant differences in sex, age, education, cognitive function, or PANSS scores between the four groups at baseline (p's > 0.05). (2) There was a significant decrease in the PANSS scores and an increase in the MCCB scores after 12 weeks of treatment in all groups (time effect p's < 0.001). (3) The improvements in positive symptoms and negative symptoms were more obvious in the combined group than in other groups (p's < 0.05). (4) The combined group showed the superior effect in cognition function after 12 weeks. (5) And, interestingly, a remarkable synergistic effect between rTMS and family intervention therapy was observed.

CONCLUSION

There was a synergistic effect between rTMS and the family intervention as an effective combined therapy in improving schizophrenia. This study is registered with Chictr.org, number ChiCTR1900024422 (http://www.chictr.org.cn/edit.aspx?pid=34285&htm=4).

Use of Smartphones, Computers and Social Media Among People with SMI: Opportunity for Intervention

Mobile technology provides a unique opportunity to expand access to evidence-based interventions. The objective of this study was to provide an update regarding use of technology in people with serious mental illness (SMI). In 2017, 403 people in treatment for SMI were surveyed. Technology use was common: 65.8% used a smartphone, 53.6% used the Internet on a computer or tablet in the past 6 months, and over two thirds (67.9%) used social media. Rates of technology and Facebook use were similar to rates among low-income Americans. Approximately three quarters were willing to use a device to access interventions for stress, health and mental health. Younger adults were more likely to use most forms of technology and social media compared to older adults, but willingness to try technology-delivered interventions did not vary by age. This survey supports the rationale for ongoing development and testing of digital interventions for people with SMI.

Pilot study of a mobile smoking cessation intervention for low-income smokers with serious mental illness

Introduction

People with serious mental illness (SMI) have high rates of smoking and need better access to cessation treatment. Mobile behavioral interventions for cessation have been effective for the general population, but are not usable by many with SMI due to cognitive impairments or severe symptoms. We developed a tailored mobile cessation treatment intervention with features to reduce cognitive load.

Method

We enrolled 20 smokers with SMI and showed them how to use the program on a device of their choice. They were assessed at 8 weeks for intervention use, usability, satisfaction, smoking characteristics, and biologically verified abstinence.

Results

Participants accessed an average of 23.6 intervention sessions (SD = 17.05; range 1–48; median = 17.5) for an average total of 231.64 minutes (SD = 227.13; range 4.89–955.21; median = 158.18). For 87% of the sessions, average satisfaction scores were 3 or greater on a scale of 1–4. Regarding smoking, 25% of participants had reduced their smoking and 10% had biologically verified abstinence from smoking at 8 weeks.

Conclusion

Home and community use of this mobile cessation intervention was feasible among smokers with SMI. Further research is needed to evaluate such scalable approaches to increase access to behavioral treatment for this group.

Off-hours use of a smartphone intervention to extend support for individuals with schizophrenia spectrum disorders recently discharged from a psychiatric hospital

INTRODUCTION

Technology-delivered healthcare interventions may enhance dissemination of evidence-based treatments in low-resource areas. These interventions may be accessed 'on-demand,' including after hours. Patients with schizophrenia do engage with technological aids but when/how they would utilize these tools is not known.

METHODS

We conducted a large, prospective, ten-site, longitudinal study of four technology-assisted interventions for patients with schizophrenia spectrum disorders within 60 days of psychiatric hospital discharge, a high risk period. One tool employed was a smartphone intervention called 'FOCUS,' which could be used by patients as needed, providing help in five content areas: medications, mood, social, sleep and voices. Each login was date- and time-stamped as occurring during normal clinic hours, or 'off-hours,' and the pattern of use described.

RESULTS

347 of 368 patients utilized FOCUS during the 6-month study. There were a total of 75,447 FOCUS logins; 35,739 (47.4%) were self-initiated and 38,139 (50.6%) were off-hours. 18,450 of the logins during off-hours were self-initiated (24.5%). No differences in average usage per month were found based on race/ethnicity. A subset of 'high utilizers' (n = 152, 43.8%) self-initiated use of all five FOCUS modules both on- and off-hours. They tended to be women, >35 years old, and had a high school diploma or greater.

CONCLUSION

Most patients with schizophrenia spectrum disorders recently discharged from the hospital utilized a smartphone intervention targeted to address troublesome residual symptoms. One quarter of the total smartphone utilization was self-initiated off-hours, indicating the potential utility of this tool to extend support for patients during periods of elevated risk.

Mobile App-Based Intervention for Adolescents With First-Episode Psychosis: Study Protocol for a Pilot Randomized Controlled Trial

Introduction: Previous studies have shown an improvement in the access to treatment for patients with first-episode psychosis (FEP), specifically young patients, through mobile app-based interventions. The aim of this study is to test the effectiveness of a mobile app-based intervention to improve community functioning in adolescents with FEP. Mobile app-based interventions could increase quality of life and disease awareness, which improve adherence to treatment and reduce the frequency of relapses and rehospitalizations in adolescents with FEP. Methods: This article describes a mobile app treatment and the pilot trial protocol for patients with FEP. We will perform a single-blind randomized clinical trial (RCT) including patients with FEP aged 14-19 years recruited from Gregorio Marañón Hospital, Madrid, Spain. Patients will be randomly assigned to an intervention group, which will receive treatment as usual plus five modules of a psychological intervention through the mobile app (psychoeducation, recognition of symptoms and prevention of relapses, problem solving, mindfulness, and contact wall), or to a control group (standard care). The effectiveness of the intervention will be assessed by means of an extensive battery of clinical tests at baseline and at 3 months of follow-up. The primary outcome is reduction in psychotic and depressive symptoms; secondary outcomes comprise adherence, awareness, use of drugs, and quality of life. Data will be analyzed on an intention-to-treat (ITT) basis. Mixed model repeated-measures analysis will be used to explore the following effect: group × time interaction between the control group and the intervention group for clinical and functional variables during the follow-up period. Discussion: This is an innovative study for the assessment of a psychological intervention through a mobile app for patients with FEP during the critical period. This pilot RCT is intended to be a precursor to larger studies, which in turn could facilitate dissemination of mobile app therapy for patients with FEP. Ethics and Dissemination: The local ethics committee approved the study protocol. All participants must sign the informed consent, to participate. After finalizing the study, the results will be published. Trial registration: NCT03161249. NCT clinicaltrials.gov. Date of registration in primary registry 02 May 2017. clinicaltrials.gov.

Use of information and communication technologies among individuals with and without serious mental illness

Growing interest surrounds the use ofinformation and communication technologies (ICTs) for mental-health-related purposes, yet little is known about rates of ICT use among the psychiatric population and those with severe mental illness. This study examines ICT accessibility among the psychiatric population, focusing on serious and non-serious mental illness (SMI and non-SMI). Patients (N = 427) from all service branches of the Psychiatry Department at Emek Medical Centerwere recruited orally or through advertisement. Responders completed a self-report survey regarding accessibility and use of ICTs (i.e., computer, internet, Facebook, mobile phone, smartphone). Results revealed that 59.3% of respondents used computers, 77.3% used the internet, 92.7% owned a mobile phone, 67.9% owned a smartphone, and 63% used Facebook. Over half of participants who used ICTs reported doing so at least once per day. SMI and non-SMI respondents differed significantly in their use and access to a computer, the internet, Facebook, and smartphones. Results suggest that mental illness is not a barrier to using and accessing technology; however, when differentiating between SMI and non-SMI, illness severity is a barrier to potential ICT utilization. These results may encourage policy makers to design ICTs that suit the needs of individuals with SMI.

Health behavior models for informing digital technology interventions for individuals with mental illness

OBJECTIVE

Theoretical models offer valuable insights for designing effective and sustainable behavioral health interventions, yet the application of theory for informing digital technology interventions for people with mental illness has received limited attention. We offer a perspective on the importance of applying behavior theories and models to developing digital technology interventions for addressing mental and physical health concerns among people with mental illness.

METHOD

In this commentary, we summarize prominent theories of human behavior, highlight key theoretical constructs, and identify opportunities to inform digital health interventions for people with mental illness. We consider limitations with existing theories and models, and examine recent theoretical advances that can specifically guide development of digital technology interventions.

RESULTS

Established behavioral frameworks including health belief model, theory of planned behavior, transtheoretical model, and social cognitive theory consist of important and overlapping constructs that can inform digital health interventions for people with mental illness. As digital technologies continue to evolve and enable longitudinal data collection, real-time behavior monitoring, and adaptive features tailored to users' changing needs over time, there are new opportunities to broaden our understanding of health behaviors and mechanisms of behavior change. Recent advances include dynamic models of behavior, persuasive system design, the behavioral intervention technology model, and behavioral models for just-in-time adaptive interventions.

CONCLUSION AND IMPLICATIONS FOR PRACTICE

Behavior theories offer advantages for guiding use of digital technologies. Future researchers must explore how theoretical models can effectively advance efforts to develop, evaluate, and disseminate digital health interventions targeting individuals with mental illness. (PsycINFO Database Record

Optimizing psychosocial interventions in first-episode psychosis: current perspectives and future directions

Psychotic-spectrum disorders such as schizophrenia, schizoaffective disorder, and bipolar disorder with psychotic features are devastating illnesses accompanied by high levels of morbidity and mortality. Growing evidence suggests that outcomes for individuals with psychotic-spectrum disorders can be meaningfully improved by increasing the quality of mental health care provided to these individuals and reducing the delay between the first onset of psychotic symptoms and the receipt of adequate psychiatric care. More specifically, multicomponent treatment packages that 1) simultaneously target multiple symptomatic and functional needs and 2) are provided as soon as possible following the initial onset of psychotic symptoms appear to have disproportionately positive effects on the course of psychotic-spectrum disorders. Yet, despite the benefit of multicomponent care for first-episode psychosis, clinical and functional outcomes among individuals with first-episode psychosis participating in such services are still suboptimal. Thus, the goal of this review is to highlight putative strategies to improve care for individuals with first-episode psychosis with specific attention to optimizing psychosocial interventions. To address this goal, we highlight four burgeoning areas of research with regard to optimization of psychosocial interventions for first-episode psychosis: 1) reducing the delay in receipt of evidence-based psychosocial treatments; 2) synergistic pairing of psychosocial interventions; 3) personalized delivery of psychosocial interventions; and 4) technological enhancement of psychosocial interventions. Future research on these topics has the potential to optimize the treatment response to evidence-based psychosocial interventions and to enhance the improved (but still suboptimal) treatment outcomes commonly experienced by individuals with first-episode psychosis.

Epigenetic Mechanisms of Integrative Medicine

Since time immemorial humans have utilized natural products and therapies for their healing properties. Even now, in the age of genomics and on the cusp of regenerative medicine, the use of complementary and alternative medicine (CAM) approaches represents a popular branch of health care. Furthermore, there is a trend towards a unified medical philosophy referred to as Integrative Medicine (IM) that represents the convergence of CAM and conventional medicine. The IM model not only considers the holistic perspective of the physiological components of the individual, but also includes psychological and mind-body aspects. Justification for and validation of such a whole-systems approach is in part dependent upon identification of the functional pathways governing healing, and new data is revealing relationships between therapies and biochemical effects that have long defied explanation. We review this data and propose a unifying theme: IM's ability to affect healing is due at least in part to epigenetic mechanisms. This hypothesis is based on a mounting body of evidence that demonstrates a correlation between the physical and mental effects of IM and modulation of gene expression and epigenetic state. Emphasis on mapping, deciphering, and optimizing these effects will facilitate therapeutic delivery and create further benefits.

mHealth for Schizophrenia: Patient Engagement With a Mobile Phone Intervention Following Hospital Discharge

BACKGROUND

mHealth interventions that use mobile phones as instruments for illness management are gaining popularity. Research examining mobile phone‒based mHealth programs for people with psychosis has shown that these approaches are feasible, acceptable, and clinically promising. However, most mHealth initiatives involving people with schizophrenia have spanned periods ranging from a few days to several weeks and have typically involved participants who were clinically stable.

OBJECTIVE

Our aim was to evaluate the viability of extended mHealth interventions for people with schizophrenia-spectrum disorders following hospital discharge. Specifically, we set out to examine the following: (1) Can individuals be engaged with a mobile phone intervention program during this high-risk period?, (2) Are age, gender, racial background, or hospitalization history associated with their engagement or persistence in using a mobile phone intervention over time?, and (3) Does engagement differ by characteristics of the mHealth intervention itself (ie, pre-programmed vs on-demand functions)?

METHODS

We examined mHealth intervention use and demographic and clinical predictors of engagement in 342 individuals with schizophrenia-spectrum disorders who were given the FOCUS mobile phone intervention as part of a technology-assisted relapse prevention program during the 6-month high-risk period following hospitalization.

RESULTS

On average, participants engaged with FOCUS for 82% of the weeks they had the mobile phone. People who used FOCUS more often continued using it over longer periods: 44% used the intervention over 5-6 months, on average 4.3 days a week. Gender, race, age, and number of past psychiatric hospitalizations were associated with engagement. Females used FOCUS on average 0.4 more days a week than males. White participants engaged on average 0.7 days more a week than African-Americans and responded to prompts on 0.7 days more a week than Hispanic participants. Younger participants (age 18-29) had 0.4 fewer days of on-demand use a week than individuals who were 30-45 years old and 0.5 fewer days a week than older participants (age 46-60). Participants with fewer past hospitalizations (1-6) engaged on average 0.2 more days a week than those with seven or more. mHealth program functions were associated with engagement. Participants responded to prompts more often than they self-initiated on-demand tools, but both FOCUS functions were used regularly. Both types of intervention use declined over time (on-demand use had a steeper decline). Although mHealth use declined, the majority of individuals used both on-demand and system-prompted functions regularly throughout their participation. Therefore, neither function is extraneous.

CONCLUSIONS

The findings demonstrated that individuals with schizophrenia-spectrum disorders can actively engage with a clinically supported mobile phone intervention for up to 6 months following hospital discharge. mHealth may be useful in reaching a clinical population that is typically difficult to engage during high-risk periods.

Development and usability testing of a web-based smoking cessation treatment for smokers with schizophrenia

INTRODUCTION

Over half of people with schizophrenia and other psychotic disorders smoke tobacco. Web-based approaches to cessation have been effective for the general population, but are not usable by many with schizophrenia disorders due to cognitive impairments and low computer experience. We developed a prototype smoking cessation treatment website for this group of smokers with features to reduce cognitive load. Here we report results from initial office-based usability testing and home-based field testing.

METHOD

Five people were observed using the prototype website in the office with think-aloud cognitive interviewing. The website was modified based on these data. Six people then used the website on a home laptop after a single training session, with further coaching if needed.

RESULTS

Office-based testing showed that the website was usable, but required minor modifications. Further editing provided labels that were more explicit and concrete, limited the conceptual content on each page, and modified features of the support group forum. Home-based field-testing identified further functionality issues that were rapidly modified. Over half of users needed more than a single session of training to use the computer and website. Eighty three then used it independently and were very satisfied with the web-based program. Among the five smokers who field tested the prototype, 60% cut down and 20% had quit smoking after three weeks of home use.

CONCLUSION

The prototype website was usable and satisfactory. With training and support, home use of this cessation website appears to be feasible and promising for cessation among smokers with schizophrenia. Further research is needed to evaluate web-based cessation treatment in people with psychotic disorders.