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Abstract Background Major depression is a highly prevalent disorder causing severe personal distress, and high societal costs. Patients with depression often have comorbid insomnia disorder (ID) leading to even worse personal distress and worse treatment outcomes. Recent results from a non-randomised pilot study with internet-delivered Cognitive Behavioural Therapy (CBTi) for Insomnia (I-Sleep) added to regular depression care were promising regarding feasibility and initial effects on insomnia complaints and depression. However, no randomised controlled trial (RCT) has been performed yet to access the (cost-) effectiveness of I-Sleep for depression. Therefore, this protocol article presents the design of an RCT aimed to assess the (cost-) effectiveness of I-Sleep in addition to usual care for depression compared to usual care alone in depressed patients with a comorbid Insomnia Disorder (ID) treated at outpatient clinics for mood disorders. Methods /design This is a multi-centre RCT with measurements at baseline and at 3, 6, 9, and 12 months of follow-up. Patients with depression and an ID are randomised to either I-Sleep treatment followed by regular depression care or to regular depression care alone. Our aim is to recruit one hundred and seventy-five patients from multiple outpatient clinics for mood disorders. The primary outcome is the change in depressive symptoms over 12 months of follow-up measured with the Patient Health Questionnaire (PHQ-9). Secondary outcomes are recovery from depression (PHQ-9), insomnia severity (Insomnia Severity Index, ISI), daily functioning (Work and Social Adjustment Scale, WSAS), general quality of life (EuroQol 5-level version, EQ-5D-5L), and societal costs (Adapted versions of the iMTA Productivity Cost Questionnaire, iPCQ and iMTA Medical Cost Questionnaire, iMCQ). Discussion We hypothesize that the addition of I-Sleep to usual care will result in a significant improvement in depression treatment outcomes and quality of life as well as a decrease in healthcare and societal costs compared to usual care alone. This study is the first pragmatic RCT evaluating the effectiveness and cost-effectiveness of adding CBTi to usual care for depression. Trial registration Netherlands Trial Register (NL8955). Registered on October 6th2020. https://trialsearch.who.int/Trial2.aspx?TrialID=NL8955

Abstract Background Patient accessible electronic health records (PAEHR) hold the potential to increase patient empowerment, especially for patients with complex, long-term or chronic conditions. However, evidence of its benefits for patients who undergo mental health treatment is unclear and inconsistent, and several concerns towards use of PAEHR emerged among health professionals. This study aimed at exploring the impact of PAEHR among mental health professionals in terms of patient-provider relationship, changes in the way of writing in the electronic health records and reasons for denying access to information. Methods In-depth qualitative interviews with health professionals working in two mental health outpatient clinics at Helgelandssykehuset in Northern Norway, one of the first hospitals in Norway to implement the PAEHR in 2015. The interviews were conducted by phone or videoconferencing, audio recorded and transcribed verbatim. Data were analyzed by a multidisciplinary research team using the Framework Method. Results A total of 16 in-depth qualitative interviews were conducted in April and May 2020. The PAEHR implemented in Norway was seen as a tool to increase transparency and improve the patient-provider relationship. The PAEHR was seen to have negative consequences only in limited situations, such as for patients with severe mental conditions, for child protective services when parents access their children’s journal, or for patients with abusive partners. The functionality to deny access to the journal was used rarely. A more common practice for making information not immediately available was to delay the final approval of the notes. The documentation practices changed over the years, but it was not clear to what extent the changes were attributable to the introduction of the PAEHR. Health professionals write their notes keeping in mind that patients might read them, and they try to avoid unclear language, information about third parties, and hypotheses that might create confusion. Conclusions The concerns voiced by mental health professionals regarding the impact of the PAEHR on the patient-provider relationship and practices to deny access to information were not supported by the results of this study. Future research should explore changes in documentation practices by analysing the content of the electronic health records.

Background: Major depression is a highly prevalent disorder causing severe personal distress, and high societal costs. Patients with depression often have comorbid insomnia disorder (ID) leading to even worse personal distress and worse treatment outcomes. Recent results from a non-randomised pilot study with internet-delivered Cognitive Behavioural Therapy (CBTi) for Insomnia (I-Sleep) added to regular depression care were promising regarding feasibility and initial effects on insomnia complaints and depression. However, no randomised controlled trial (RCT) has been performed yet to access the (cost-) effectiveness of I-Sleep for depression. Therefore, this protocol article presents the design of an RCT aimed to assess the (cost-) effectiveness of I-Sleep in addition to usual care for depression compared to usual care alone in depressed patients with a comorbid Insomnia Disorder (ID) treated at outpatient clinics for mood disorders. Methods /design: This is a multi-centre RCT with measurements at baseline and at 3, 6, 9, and 12 months of follow-up. Patients with depression and an ID are randomised to either I-Sleep treatment followed by regular depression care or to regular depression care alone. Our aim is to recruit one hundred and seventy-five patients from multiple outpatient clinics for mood disorders. The primary outcome is the change in depressive symptoms over 12 months of follow-up measured with the Patient Health Questionnaire (PHQ-9). Secondary outcomes are recovery from depression (PHQ-9), insomnia severity (Insomnia Severity Index, ISI), daily functioning (Work and Social Adjustment Scale, WSAS), general quality of life (EuroQol 5-level version, EQ-5D-5L), and societal costs (Adapted versions of the iMTA Productivity Cost Questionnaire, iPCQ and iMTA Medical Cost Questionnaire, iMCQ). Discussion: We hypothesize that the addition of I-Sleep to usual care will result in a significant improvement in depression treatment outcomes and quality of life as well as a decrease in healthcare and societal costs compared to usual care alone. This study is the first pragmatic RCT evaluating the effectiveness and cost-effectiveness of adding CBTi to usual care for depression. Trial registration: Netherlands Trial Register (NL8955). Registered on October 6th2020. https://trialsearch.who.int/Trial2.aspx?TrialID=NL8955 [ABSTRACT FROM AUTHOR]

Abstract Background E-mental healthcare is the convergence of digital technologies with mental health services. It has been developed to fill a gap in healthcare for people who need mental wellbeing support that may not otherwise receive psychological treatment. With an increasing number of e-mental healthcare and research, this study aimed to investigate the trends of an e-mental health research field that integrates interdisciplinary fields and to examine the information technologies is being used in mental healthcare. To achieve the research objectives, bibliometric analysis, information extraction, and network analysis were applied to analyze e-mental health research data. Methods E-mental health research data were obtained from 3663 bibliographic records from the Web of Science (WoS) and 3172 full-text articles from PubMed Central (PMC). The text mining techniques used for this study included bibliometric analysis, information extraction, and visualization. Results The e-mental health research topic trends primarily involved e-health care services and medical informatics research. The clusters of research comprised 16 clusters, which refer to mental sickness, e-health, diseases, information technology (IT), and self-management. The information extraction analysis revealed a triple relation with IT and biomedical domains. Betweenness centrality was used as a measure of network graph centrality, based on the shortest path to rank the important entities and triple relation; nodes with higher betweenness centrality had greater control over the network because more information passes through that node. The IT entity-relations of “mobile” had the highest score at 0.043466. The top pairs were related to depression, mobile health, and text message. Conclusions E-mental related publications were associated with various research fields, such as nursing, psychology, medical informatics, computer science, telecommunication, and healthcare innovation. We found that trends in e-mental health research are continually rising. These trends were related to the internet of things (IoT) and mobile applications (Apps), which were applied for mental healthcare services. Moreover, producing AI and machine learning for e-mental healthcare were being studied. This work supports the appropriate approaches and methods of e-mental health research that can help the researcher to identify important themes and choose the best fit with their own survey work.

Background: Patient accessible electronic health records (PAEHR) hold the potential to increase patient empowerment, especially for patients with complex, long-term or chronic conditions. However, evidence of its benefits for patients who undergo mental health treatment is unclear and inconsistent, and several concerns towards use of PAEHR emerged among health professionals. This study aimed at exploring the impact of PAEHR among mental health professionals in terms of patient-provider relationship, changes in the way of writing in the electronic health records and reasons for denying access to information. Methods: In-depth qualitative interviews with health professionals working in two mental health outpatient clinics at Helgelandssykehuset in Northern Norway, one of the first hospitals in Norway to implement the PAEHR in 2015. The interviews were conducted by phone or videoconferencing, audio recorded and transcribed verbatim. Data were analyzed by a multidisciplinary research team using the Framework Method. Results: A total of 16 in-depth qualitative interviews were conducted in April and May 2020. The PAEHR implemented in Norway was seen as a tool to increase transparency and improve the patient-provider relationship. The PAEHR was seen to have negative consequences only in limited situations, such as for patients with severe mental conditions, for child protective services when parents access their children's journal, or for patients with abusive partners. The functionality to deny access to the journal was used rarely. A more common practice for making information not immediately available was to delay the final approval of the notes. The documentation practices changed over the years, but it was not clear to what extent the changes were attributable to the introduction of the PAEHR. Health professionals write their notes keeping in mind that patients might read them, and they try to avoid unclear language, information about third parties, and hypotheses that might create confusion. Conclusions: The concerns voiced by mental health professionals regarding the impact of the PAEHR on the patient-provider relationship and practices to deny access to information were not supported by the results of this study. Future research should explore changes in documentation practices by analysing the content of the electronic health records. [ABSTRACT FROM AUTHOR]

Abstract Background The onset of mental disorders typically occurs between the ages of 12 and 25, and the burden of mental health problems is the most consequential for this group. Indicated prevention interventions to target individuals with subclinical symptoms to prevent the transition to clinical levels of disorders, even leading to suicide, have shown to be effective. However, the threshold to seek help appears to be high. Digital interventions could offer a solution, especially during the Covid-19 pandemic. This implementation study will investigate the digital indicated prevention intervention ENgage YOung people Early (ENYOY), the Dutch version of the original Moderated Online Social Therapy Platform (MOST+) from Australia. In addition, the relationship between stress biomarkers, symptoms and outcome measures of youth using the platform will be investigated in this study. Methods The MOST+ platform will be adapted, translated and developed for the situation in the Netherlands in collaboration with a Youth Panel. A prospective cohort of 125 young people (16–25 years) with beginning mental health complaints will be on the platform and followed for a year, of which 10 participants will have an additional smart watch and 10 participants will be asked to provide feedback about the platform. Data will be collected at baseline and after 3, 6 and 12 months. Outcome measures are Psychological Distress assessed with the Kessler Psychological Distress Scale (K10), Social and occupational functioning (measures by the SOFAS), positive mental health indicators measured by the Positive Health Instrument, stress biomarkers with a smart-watch, website journeys of visitors, and feedback of youth about the platform. It will be a mixed-method study design, containing qualitative and quantitative measures. Discussion This trial will specifically address young people with emerging mental health complaints, and offers a new approach for treatment in the Netherlands. Considering the waiting lists in (child and adolescent)-psychiatry and the increase in suicides among youth, early low-threshold and non-stigmatizing help to support young people with emerging psychiatric symptoms is of crucial importance. Moreover, this project aims to bridge the gap between child and adolescent and adult psychiatry. Trial registration Netherlands Trial Register ID NL8966 , retrospectively registered on the 19th of October 2020.

Background: E-mental healthcare is the convergence of digital technologies with mental health services. It has been developed to fill a gap in healthcare for people who need mental wellbeing support that may not otherwise receive psychological treatment. With an increasing number of e-mental healthcare and research, this study aimed to investigate the trends of an e-mental health research field that integrates interdisciplinary fields and to examine the information technologies is being used in mental healthcare. To achieve the research objectives, bibliometric analysis, information extraction, and network analysis were applied to analyze e-mental health research data. Methods: E-mental health research data were obtained from 3663 bibliographic records from the Web of Science (WoS) and 3172 full-text articles from PubMed Central (PMC). The text mining techniques used for this study included bibliometric analysis, information extraction, and visualization. Results: The e-mental health research topic trends primarily involved e-health care services and medical informatics research. The clusters of research comprised 16 clusters, which refer to mental sickness, e-health, diseases, information technology (IT), and self-management. The information extraction analysis revealed a triple relation with IT and biomedical domains. Betweenness centrality was used as a measure of network graph centrality, based on the shortest path to rank the important entities and triple relation; nodes with higher betweenness centrality had greater control over the network because more information passes through that node. The IT entity-relations of "mobile" had the highest score at 0.043466. The top pairs were related to depression, mobile health, and text message. Conclusions: E-mental related publications were associated with various research fields, such as nursing, psychology, medical informatics, computer science, telecommunication, and healthcare innovation. We found that trends in e-mental health research are continually rising. These trends were related to the internet of things (IoT) and mobile applications (Apps), which were applied for mental healthcare services. Moreover, producing AI and machine learning for e-mental healthcare were being studied. This work supports the appropriate approaches and methods of e-mental health research that can help the researcher to identify important themes and choose the best fit with their own survey work. [ABSTRACT FROM AUTHOR]

Background: The onset of mental disorders typically occurs between the ages of 12 and 25, and the burden of mental health problems is the most consequential for this group. Indicated prevention interventions to target individuals with subclinical symptoms to prevent the transition to clinical levels of disorders, even leading to suicide, have shown to be effective. However, the threshold to seek help appears to be high. Digital interventions could offer a solution, especially during the Covid-19 pandemic. This implementation study will investigate the digital indicated prevention intervention ENgage YOung people Early (ENYOY), the Dutch version of the original Moderated Online Social Therapy Platform (MOST+) from Australia. In addition, the relationship between stress biomarkers, symptoms and outcome measures of youth using the platform will be investigated in this study. Methods: The MOST+ platform will be adapted, translated and developed for the situation in the Netherlands in collaboration with a Youth Panel. A prospective cohort of 125 young people (16–25 years) with beginning mental health complaints will be on the platform and followed for a year, of which 10 participants will have an additional smart watch and 10 participants will be asked to provide feedback about the platform. Data will be collected at baseline and after 3, 6 and 12 months. Outcome measures are Psychological Distress assessed with the Kessler Psychological Distress Scale (K10), Social and occupational functioning (measures by the SOFAS), positive mental health indicators measured by the Positive Health Instrument, stress biomarkers with a smart-watch, website journeys of visitors, and feedback of youth about the platform. It will be a mixed-method study design, containing qualitative and quantitative measures. Discussion: This trial will specifically address young people with emerging mental health complaints, and offers a new approach for treatment in the Netherlands. Considering the waiting lists in (child and adolescent)-psychiatry and the increase in suicides among youth, early low-threshold and non-stigmatizing help to support young people with emerging psychiatric symptoms is of crucial importance. Moreover, this project aims to bridge the gap between child and adolescent and adult psychiatry. Trial registration: Netherlands Trial Register ID NL8966, retrospectively registered on the 19th of October 2020. [ABSTRACT FROM AUTHOR]

Abstract Background Unhealthy lifestyle behaviours contribute to alarming cardiometabolic risk in patients with serious mental illness (SMI). Evidence-based practical lifestyle tools supporting patients and staff in improving patient lifestyle are lacking. Methods This multi-site randomized controlled pragmatic trial determined the effectiveness of a twelve-month multimodal lifestyle approach, including a web-based tool to improve patients’ cardiometabolic health, versus care-as-usual. Using the web tool, nurses (trained in motivational interviewing) assisted patients in assessing their lifestyle behaviours, creating a risk profile and constructing lifestyle goals, which were discussed during fortnightly regular care visits. Twenty-seven community-care and sheltered-living teams were randomized into intervention (N = 17) or control (N = 10) groups, including 244 patients (140 intervention/104 control, 49.2% male, 46.1 ± 10.8 years) with increased waist circumference (WC), BMI or fasting glucose. The primary outcomes concerned differences in WC after six and twelve months intervention, while BMI and metabolic syndrome Z-score were secondary outcome measures. Results General multilevel linear mixed models adjusted for antipsychotic medication showed that differences in WC change between intervention and control were − 0.15 cm (95%CI: − 2.49; 2.19) after six and − 1.03 cm (95%CI: − 3.42; 1.35) after twelve months intervention; however, the differences were not statistically significant. No intervention effects were found for secondary outcome measures. The intervention increased patients’ readiness to change dietary behaviour. Conclusion A multimodal web-based intervention facilitating nurses to address lifestyle changes in SMI patients did not improve patient cardiometabolic health. Web-tool use was lower than expected and nurses need more lifestyle coaching knowledge and skills. The type of intervention and delivery mode need optimization to realize effective lifestyle care for SMI patients. Trial registration Dutch Trial Registry, www.trialregister.nl, NTR3765, 21 December 2012.

Abstract Background Since anxiety and depressive disorders often recur, self-management competencies are crucial for improving the long-term course of anxiety and depressive disorders. However, few relapse prevention programmes are available that focus on improving self-management. E-health combined with personal contact with a mental health professional in general practice might be a promising approach for relapse prevention. In this protocol, the GET READY (Guided E-healTh for RElapse prevention in Anxiety and Depression) study will be described in which a relapse prevention programme is developed, implemented and evaluated. The aim of the study is to determine patients’ usage of the programme and the associated course of their symptoms, to examine barriers and facilitators of implementation, and to assess patients’ satisfaction with the programme. Methods Participants are discharged from mental healthcare services, and are in complete or partial remission. They receive access to an E-health platform, combined with regular contact with a mental health professional in general practices. Online questionnaires will be completed at baseline and after 3, 6 and 9 months. Also, semi-structured qualitative individual interviews and focus group interviews will be conducted with patients and mental health professionals. Discussion This mixed-methods observational cohort study will provide insights into the use of a relapse prevention programme in relation to the occurrence of symptoms, as well as in its implementation and evaluation. Using the results of this study, the relapse prevention programme can be adapted in accordance with the needs of patients and mental health professionals. If this programme is shown to be acceptable, a randomized controlled trial may be conducted to test its efficacy. Trial registration Retrospectively registered in the Netherlands Trial Register (NTR7574; 25 October 2018).

Abstract Background Web-based mental health applications may be beneficial, but adoption is often low leaving optimal implementation and payment models unclear. This study examined which users were interested in extended access to a web-based application beyond an initial 3-month trial period and evaluated if an additional 3 months of access was beneficial. Methods This study was a concealed extension of a multi-center, pragmatic randomized controlled trial that assessed the benefit of 3 months of access to the Big White Wall (BWW), an anonymous web-based moderated, multi-component mental health application offering self-directed activities and peer support. Trial participants were 16 years of age or older, recruited from hospital-affiliated mental health programs. Participants who received access to the intervention in the main trial and completed 3-month outcome assessments were offered participation. We compared those who were and were not interested in an extension of the intervention, and re-randomized consenting participants 1:1 to receive extended access or not over the subsequent 3 months. Use of the intervention was monitored in the extension group and outcomes were measured at 3 months after re-randomization in both groups. The primary outcome was mental health recovery as assessed by total score on the Recovery Assessment Scale (RAS-r), as in the main trial. Linear mixed models were used to examine the time by group interaction to assess for differences in responses over the 3-month extension study. Results Of 233 main trial participants who responded, 119 (51.1%) indicated an interest in receiving extended BWW access. Those who were interested had significantly higher baseline anxiety symptoms compared to those who were not interested. Of the 119, 112 were re-randomized (55 to extended access, 57 to discontinuation). Only 21 of the 55 extended access participants (38.2%) used the intervention during the extension period. Change in RAS-r scores over time was not significantly different between groups (time by group, F(1,77) = 1.02; P = .31). Conclusions Only half of eligible participants were interested in extended access to the intervention with decreasing use over time, and no evidence of added benefit. These findings have implications for implementation and payment models for this type of web-based mental health intervention. Trial registration Clinicaltrials.gov NCT02896894. Registered retrospectively on September 12, 2016.

Background: Unhealthy lifestyle behaviours contribute to alarming cardiometabolic risk in patients with serious mental illness (SMI). Evidence-based practical lifestyle tools supporting patients and staff in improving patient lifestyle are lacking. Methods: This multi-site randomized controlled pragmatic trial determined the effectiveness of a twelve-month multimodal lifestyle approach, including a web-based tool to improve patients' cardiometabolic health, versus care-as-usual. Using the web tool, nurses (trained in motivational interviewing) assisted patients in assessing their lifestyle behaviours, creating a risk profile and constructing lifestyle goals, which were discussed during fortnightly regular care visits. Twenty-seven community-care and sheltered-living teams were randomized into intervention (N = 17) or control (N = 10) groups, including 244 patients (140 intervention/104 control, 49.2% male, 46.1 ± 10.8 years) with increased waist circumference (WC), BMI or fasting glucose. The primary outcomes concerned differences in WC after six and twelve months intervention, while BMI and metabolic syndrome Z-score were secondary outcome measures. Results: General multilevel linear mixed models adjusted for antipsychotic medication showed that differences in WC change between intervention and control were − 0.15 cm (95%CI: − 2.49; 2.19) after six and − 1.03 cm (95%CI: − 3.42; 1.35) after twelve months intervention; however, the differences were not statistically significant. No intervention effects were found for secondary outcome measures. The intervention increased patients' readiness to change dietary behaviour. Conclusion: A multimodal web-based intervention facilitating nurses to address lifestyle changes in SMI patients did not improve patient cardiometabolic health. Web-tool use was lower than expected and nurses need more lifestyle coaching knowledge and skills. The type of intervention and delivery mode need optimization to realize effective lifestyle care for SMI patients. Trial registration: Dutch Trial Registry, www.trialregister.nl, NTR3765, 21 December 2012. [ABSTRACT FROM AUTHOR]

Background: Web-based mental health applications may be beneficial, but adoption is often low leaving optimal implementation and payment models unclear. This study examined which users were interested in extended access to a web-based application beyond an initial 3-month trial period and evaluated if an additional 3 months of access was beneficial. Methods: This study was a concealed extension of a multi-center, pragmatic randomized controlled trial that assessed the benefit of 3 months of access to the Big White Wall (BWW), an anonymous web-based moderated, multi-component mental health application offering self-directed activities and peer support. Trial participants were 16 years of age or older, recruited from hospital-affiliated mental health programs. Participants who received access to the intervention in the main trial and completed 3-month outcome assessments were offered participation. We compared those who were and were not interested in an extension of the intervention, and re-randomized consenting participants 1:1 to receive extended access or not over the subsequent 3 months. Use of the intervention was monitored in the extension group and outcomes were measured at 3 months after re-randomization in both groups. The primary outcome was mental health recovery as assessed by total score on the Recovery Assessment Scale (RAS-r), as in the main trial. Linear mixed models were used to examine the time by group interaction to assess for differences in responses over the 3-month extension study. Results: Of 233 main trial participants who responded, 119 (51.1%) indicated an interest in receiving extended BWW access. Those who were interested had significantly higher baseline anxiety symptoms compared to those who were not interested. Of the 119, 112 were re-randomized (55 to extended access, 57 to discontinuation). Only 21 of the 55 extended access participants (38.2%) used the intervention during the extension period. Change in RAS-r scores over time was not significantly different between groups (time by group, F(1,77) = 1.02; P =.31). Conclusions: Only half of eligible participants were interested in extended access to the intervention with decreasing use over time, and no evidence of added benefit. These findings have implications for implementation and payment models for this type of web-based mental health intervention. Trial registration: Clinicaltrials.govNCT02896894. Registered retrospectively on September 12, 2016. [ABSTRACT FROM AUTHOR]

Background: The cardiometabolic health of persons with a severe mental illness (SMI) is alarming with obesity rates of 45-55% and diabetes type 2 rates of 10-15%. Unhealthy lifestyle behaviours play a large role in this. Despite the multidisciplinary guideline for SMI patients recommending to monitor and address patients' lifestyle, most mental health care professionals have limited lifestyle-related knowledge and skills, and (lifestyle) treatment protocols are lacking. Evidence-based practical lifestyle tools may support both patients and staff in improving patients' lifestyle. This paper describes the Lifestyle Interventions for severe mentally ill Outpatients in the Netherlands (LION) trial, to investigate whether a multidimensional lifestyle intervention using a web tool can be effective in improving cardiometabolic health in SMI patients. Methods/Design: The LION study is a 12-month pragmatic single-blind multi-site cluster randomised controlled trial. 21 Flexible Assertive Community Treatment (ACT) teams and eight sheltered living teams of five mental health organizations in the Netherlands are invited to participate. Per team, nurses are trained in motivational interviewing and use of the multidimensional web tool, covering lifestyle behaviour awareness, lifestyle knowledge, motivation and goal setting. Nurses coach patients to change their lifestyle using the web tool, motivational interviewing and stages-of-change techniques during biweekly sessions in a) assessing current lifestyle behaviour using the traffic light method (healthy behaviours colour green, unhealthy behaviours colour red), b) creating a lifestyle plan with maximum three attainable lifestyle goals and c) discussing the lifestyle plan regularly. The study population is SMI patients and statistical inference is on patient level using multilevel analyses. Primary outcome is waist circumference and other cardiometabolic risk factors after six and twelve months intervention, which are measured as part of routine outcome monitoring using standard protocols. Secondary outcomes include depressive and negative symptoms, cost-effectiveness, and barriers and facilitators in intervention implementation. Discussion: Adequate health care should target both mental health and lifestyle behaviours in SMI patients. This trial contributes by studying a 12-month multidimensional lifestyle intervention as a potential evidence based (nursing) tool for targeting multiple lifestyle behaviours in SMI patients. [ABSTRACT FROM AUTHOR]

Background: Electronic Patient Health Records (ePHRs) contain information created, accessed, monitored and maintained by patients. This paper describes how an ePHR called myhealthlocker™ was used by people with severe mental illness to monitor and input their own health-related outcomes, and whether they derived any benefit from it. Method: Individuals using local secondary mental health services were provided with access to myhealthlocker, an ePHR which allowed them to monitor their health and input information from Patient Reported Outcome Measures (PROMs) across to their clinical record. Participants were given support to use myhealthlocker through drop-in sessions facilitated by an Occupational Therapist. Usage of the site was monitored over time. Surveys and interviews were used to investigate what participants thought about the intervention. Results: 32 of 58 participants used the ePHR (where usage was defined by logging in at least twice and completing a PROM). Almost all participants who used the site had been referred from community rather than inpatient services. Of those who used the site, 26 out of 32 used it primarily or exclusively through supported drop-in sessions. Almost half of those participants who used the site had used it outside the drop-in sessions. Those who used the site found it useful (n = 32), and most said they would continue to use it (n = 27). There were no apparent differences in usage across gender, diagnosis, and length of service use history. Suggestions for improvement included a social networking component, and finding ways to engage clinicians. In particular, users valued the ability to monitor health outcomes over time. Conclusions: People with severe mental illness were able to use an ePHR and derive benefit from monitoring and inputting PROMs. Those who use the site are more likely to have been referred from community mental health services, and then supported to access the ePHR. [ABSTRACT FROM AUTHOR]

Background: Insomnia is a significant risk factor for depression onset, can result in more disabling depressive illness, and is a common residual symptom following treatment cessation that can increase the risk of relapse. Internet-based cognitive behavioural therapy for insomnia has demonstrated efficacy and acceptability to men who are less likely than women to seek help in standard care. We aim to evaluate whether internet delivered cognitive behavioural therapy for insomnia as an adjunct to a standard depression therapeutic plan can lead to improved mood outcomes. Methods/Design: Male participants aged 50 years or more, meeting Diagnostic and Statistical Manual of Mental Disorders criteria for current Major Depressive Episode and/or Dysthymia and self-reported insomnia symptoms, will be screened to participate in a single-centre double-blind randomised controlled trial with two parallel groups involving adjunctive internet-delivered cognitive behavioural therapy for insomnia and an internet-based control program. The trial will consist of a nine-week insomnia intervention period with a six-month follow-up period. During the insomnia intervention period participants will have their depression management coordinated by a psychiatrist using standard guideline-based depression treatments. The study will be conducted in urban New South Wales, Australia, where 80 participants from primary and secondary care and direct from the local community will be recruited. The primary outcome is change in the severity of depressive symptoms from baseline to week 12. Discussion: This study will provide evidence on whether a widely accessible, evidence-based, internet-delivered cognitive behavioural therapy for insomnia intervention can lead to greater improvements than standard treatment for depression alone, in a group who traditionally do not readily access psychotherapy. The study is designed to establish effect size, feasibility and processes associated with implementing e-health solutions alongside standard clinical care, to warrant undertaking a larger more definitive clinical trial. [ABSTRACT FROM AUTHOR]

Background: Disordered eating behavior and body dissatisfaction affect a large proportion of the Dutch population and account for severe psychological, physical and social morbidity. Yet, the threshold for seeking professional care is still high. In the Netherlands, only 7.5% of patients with bulimia nervosa and 33% of patients with anorexia nervosa are treated within the mental health care system. Easily accessible and low-threshold interventions, therefore, are needed urgently. The internet has great potential to offer such interventions. The aim of this study is to determine whether a web-based treatment program for patients with eating disorders can improve eating disorder psychopathology among female patients with bulimia nervosa, binge eating disorder and eating disorders not otherwise specified. Methods/design: This randomized controlled trial will compare the outcomes of an experimental treatment group to a waiting list control group. In the web-based treatment program, participants will communicate personally and asynchronously with their therapists exclusively via the internet. The first part of the program will focus on analyzing eating attitudes and behaviors. In the second part of the program participants will learn how to change their attitudes and behaviors. Participants assigned to the waiting list control group will receive no-reply email messages once every two weeks during the waiting period of 15 weeks, after which they can start the program. The primary outcome measure is an improvement in eating disorder psychopathology as determined by the Eating Disorder Examination Questionnaire. Secondary outcomes include improvements in body image, physical and mental health, body weight, self-esteem, quality of life, and social contacts. In addition, the participants' motivation for treatment and their acceptability of the program and the therapeutic alliance will be measured. The study will follow the recommendations in the CONSORT statement relating to designing and reporting on RCTs. Discussion: This study protocol presents the design of a RCT for evaluating the effectiveness of a webbased treatment program using intensive therapeutic support for female patients with bulimia nervosa, binge eating disorder and eating disorders not otherwise specified. [ABSTRACT FROM AUTHOR]

Background Digital technologies are increasingly directed at improved monitoring, management and treatment of mental health. However, their potential contribution to social networks and self- management support for people diagnosed with a serious mental illness has rarely been considered. This review and meta-synthesis aimed to examine the processes of engagement and perceived relevance and appropriateness of telehealth interventions for people with a diagnosis of schizophrenia. The review addresses three key questions. How is the use of digital communications technologies framed in the professional psychiatric literature? How might the recognised benefits of telehealth translate to people with a diagnosis of schizophrenia? What is the user perspective concerning Internet information and communication technologies? Methods A critical interpretive synthesis (CIS) of published findings from quantitative and qualitative studies of telehealth interventions for people with a diagnosis of schizophrenia. Results Most studies were of an exploratory nature. The professional discourse about the use of different technologies was overlain by concerns with surveillance and control, focusing on the Internet as a potential site of risk and danger. The critical synthesis of findings showed that the key focus of the available studies was on the delivery of existing traditional approaches (e.g. improving medications adherence, provision of medical information about the condition, symptom monitoring and cognitive behavioural therapy). Even though it was clear that the Internet has considerable potential in terms of accessing and utilising lay support, the potential of communication technologies in mobilising of resources for personal self-management or peer support was a relatively absent or hidden a focus of the available studies. Conclusions Based on an interpretive synthesis of available studies, people with a diagnosis of schizophrenia or psychosis use the Internet primarily for the purposes of disclosure and information gathering. Empowerment, regulation and surveillance emerged as the key dimensions of engagement (or not) with telehealth interventions. The findings suggest that telehealth interventions are disproportionately used by particular patient groups (e.g.women, people who are employed). Further research needs to ascertain the mechanisms by which telehealth interventions may be potentially beneficial or harmful for engagement and management to people with a diagnosis of schizophrenia. [ABSTRACT FROM AUTHOR]

Background Postnatal depression (PND) is the most common disorder of the puerperium with serious consequences for both mother and child if left untreated. While there are effective treatments, there are many barriers for new mothers needing to access them. Prevention strategies may offer a more acceptable means of addressing the problem. Internet interventions can help overcome some barriers to reducing the impact of PND. However, to date there are no published studies that investigate the efficacy of internet interventions for the prevention of PND. Methods/design The proposed study is a two-arm double blind randomised controlled trial. 175 participants will be recruited in the immediate postnatal period at an Australian community hospital. Women who meet inclusion criteria (internet access, email address, telephone number, over 18, live birth, fluent English) will complete the Edinburgh Postnatal Depression Scale (EPDS). Those with a score above 9 will undertake the Structured Clinical Interview for DSM Disorders (SCID). Those with a clinical diagnosis of depression, or a lifetime diagnosis of bipolar disorder or psychosis on the SCID will be excluded. Following completion of the baseline battery women will be randomised using a computer-generated algorithm to either the intervention or control condition. The intervention will consist of 5 modules of automated, interactive cognitive behaviour training (CB training), completed weekly with email reminders. The control will replicate the level of contact participants experience with the intervention, but the content will be of a general health nature. Participants will complete questionnaires immediately post-intervention (6 weeks) and 3-, 6- and 12 months follow-up. There will also be a second SCID delivered via telephone at 6 months. We hypothesise that relative to the control group, the intervention group will show a greater reduction in postnatal distress on the EPDS (primary outcome measure). We also hypothesise that the intervention group will demonstrate lower levels of anxiety and stress and higher levels of parenting confidence than the control group following intervention and/or follow-up. Discussion The proposed study addresses a number of limitations of earlier trials. [ABSTRACT FROM AUTHOR]

Background: Since anxiety and depressive disorders often recur, self-management competencies are crucial for improving the long-term course of anxiety and depressive disorders. However, few relapse prevention programmes are available that focus on improving self-management. E-health combined with personal contact with a mental health professional in general practice might be a promising approach for relapse prevention. In this protocol, the GET READY (Guided E-healTh for RElapse prevention in Anxiety and Depression) study will be described in which a relapse prevention programme is developed, implemented and evaluated. The aim of the study is to determine patients' usage of the programme and the associated course of their symptoms, to examine barriers and facilitators of implementation, and to assess patients' satisfaction with the programme. Methods: Participants are discharged from mental healthcare services, and are in complete or partial remission. They receive access to an E-health platform, combined with regular contact with a mental health professional in general practices. Online questionnaires will be completed at baseline and after 3, 6 and 9 months. Also, semi-structured qualitative individual interviews and focus group interviews will be conducted with patients and mental health professionals. Discussion: This mixed-methods observational cohort study will provide insights into the use of a relapse prevention programme in relation to the occurrence of symptoms, as well as in its implementation and evaluation. Using the results of this study, the relapse prevention programme can be adapted in accordance with the needs of patients and mental health professionals. If this programme is shown to be acceptable, a randomized controlled trial may be conducted to test its efficacy. Trial registration: Retrospectively registered in the Netherlands Trial Register (NTR7574; 25 October 2018). [ABSTRACT FROM AUTHOR]