Psychometric evaluation of the Dutch version of the mental health recovery measure (MHRM)

Understanding the Role of Patient Portals in Fostering Interprofessional Collaboration Within Mental Health Care Settings: Mixed Methods Study

BACKGROUND

Patient portals are web-based systems through which patients can access their personal health information and communicate with their clinicians. The integration of patient portals into mental health care settings has been evolving over the past decade, as cumulated research to date has highlighted the potential role of portals in facilitating positive health outcomes. However, it is currently unknown whether portal use can foster interprofessional collaboration between clinicians and patients or whether the portal is a tool to support an already established collaborative relationship.

OBJECTIVE

This mixed methods study aimed to understand how the use of a patient portal within mental health settings can impact the level of interprofessional collaboration between clinicians and patients.

METHODS

This study was conducted in a large mental health care organization in Ontario, Canada. A convergent mixed methods design was used, where the primary data collection methods included questionnaires and semistructured interviews with patients who had experience using a portal for their mental health care. For the quantitative strand, participants completed the Health Care Communication Questionnaire and the Self-Empowerment subscale of the Mental Health Recovery Measure at 3 time points (baseline, 3 months of use, and 6 months of use) to measure changes in scores over time. For the qualitative strand, semistructured interviews were conducted at the 3-month time point to assess the elements of interprofessional collaboration associated with the portal.

RESULTS

For the quantitative strand, 113 participants completed the questionnaire. For the Health Care Communication Questionnaire scores, the raw means of the total scores at the 3 time points were as follows: baseline, 43.01 (SD 7.28); three months, 43.19 (SD 6.65); and 6 months, 42.74 (SD 6.84). In the univariate model with time as the only independent variable, the scores did not differ significantly across the 3 time points (P=.70). For the Mental Health Recovery Measure scores, the raw mean total scores at the 3 time points were as follows: baseline, 10.77 (SD 3.63); three months, 11.09 (SD 3.81); and 6 months, 11.10 (SD 3.33). In the univariate model with time as the only independent variable, the scores did not differ significantly across the 3 time points (P=.34). For the qualitative strand, 10 participants were interviewed and identified various elements of how interprofessional collaboration can be supplemented through the use of a patient portal, including improved team functioning, communication, and conflict resolution.

CONCLUSIONS

Although the quantitative data produced nonsignificant findings in interprofessional collaboration scores over time, the patients' narrative accounts described how the portal can support various interprofessional collaboration concepts, such as communication, leadership, and conflict resolution. This provides useful information for clinicians to support the interprofessional relationship when using a portal within a mental health setting.

INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID)

RR2-10.1136/bmjopen-2018-025508.

Patients With Autism Spectrum Disorder and Co-occurring Substance Use Disorder: A Clinical Intervention Study

Background:

The prevalence of substance use disorders (SUD) in individuals with autism spectrum disorders (ASD) appears to be higher than previously described. Attention has been drawn to developing new treatment approaches for this patient population, as they appear to do less well with traditional addiction treatment. There is very little research addressing treatment outcome. This study aims to introduce and evaluate a manualized group treatment intervention developed specifically for patients with ASD and co-occurring SUD.

Methods:

We developed a group treatment based on cognitive behavioural therapy (CBT) and evaluated outcome measures at the end of treatment and 3-month follow-up. Fifty-seven patients with ASD and co-occurring SUD were included of which 30 completed the group intervention, 27 of them also participated at 3-month follow-up.

Results:

The findings suggest that group treatment can work for patients with ASD and co-occurring SUD. Lower levels of alcohol use ( t = 3.61, P = .002, d = 0.75), craving ( t = 2.65, P = .013, d = 0.51), passive coping styles ( t = 2.32, P = .030, d = 0.48), depression ( t = 3.48, P = .002, d = 0.67), anxiety ( t = 3.02, P = .006, d = 0.58), and stress ( t = 2.62, P = .015, d = 0.51) symptoms were reported after completing the group intervention, with even stronger effects at 3 months follow-up.

Conclusions:

The present study shows promising results of a tailor-made group intervention in a heterogeneous patient population with ASD and co-occurring SUD with positive effects on both symptoms of ASD and SUD.

Reliability and validity of the Mental Health Self-management Questionnaire among Chinese patients with mood and anxiety disorders

BACKGROUND

Self-management plays an important role in promoting and restoring mental health for individuals with mental health issues. However, there is no valid and reliable Chinese tool assessing the self-management behaviors of people with mood and anxiety disorders. This study aimed to develop a Chinese version of the Mental Health Self-management Questionnaire (MHSQ-C) and to verify its psychometric properties.

METHODS

A total of 440 potential participants were recruited by convenience sampling from June to August 2020. Item analysis and analyses of internal consistency, test-retest reliability, content validity, construct validity and criterion validity were performed.

RESULTS

Data from 326 participants were used. Three factors obtained via principal component analysis and varimax rotation explained 53.68% of the total variance. The average content validity index was 0.99. The Cronbach's α coefficient (total: 0.874, clinical: 0.706, empowerment: 0.818, vitality: 0.830) and test-retest reliability (ICC: total: 0.783, 95% confidence interval (CI) [0.616, 0.882], clinical: 0.525, 95% CI [0.240, 0.725], empowerment: 0.786, 95% CI [0.622, 0.884], vitality: 0.748, 95% CI [0.564, 0.862]) were good. The MHSQ-C was well correlated with the Partners in Health scale and showed no floor or ceiling effect.

DISCUSSION

The MHSQ-C is a reliable and valid tool to evaluate the self-management strategies of patients with mood and anxiety disorders.

Evaluation of a collaborative care program for patients with treatment-resistant schizophrenia: Protocol for a multiple case-study. (Preprint)

Background

Approximately one-third of all patients with schizophrenia are treatment resistant. Worldwide, undertreatment with clozapine and other effective treatment options exist for people with treatment-resistant schizophrenia (TRS). In this respect, it appears that regular health care models do not optimally fit this patient group. The Collaborative Care (CC) model has proven to be effective for patients with severe mental illness, both in primary care and in specialized mental health care facilities. The key principles of the CC model are that both patients and informal caregivers are part of the treatment team, that a structured treatment plan is put in place with planned evaluations by the team, and that the treatment approach is multidisciplinary in nature and uses evidence-based interventions. We developed a tailored CC program for patients with TRS.

Objective

In this paper, we provide an overview of the research design for a potential study that seeks to gain insight into both the process of implementation and the preliminary effects of the CC program for patients with TRS. Moreover, we aim to gain insight into the experiences of professionals, patients, and informal caregivers with the program.

Methods

This study will be underpinned by a multiple case study design (N=20) that uses a mixed methods approach. These case studies will focus on an Early Psychosis Intervention Team and 2 Flexible Assertive Community treatment teams in the Netherlands. Data will be collected from patient records as well as through questionnaires, individual interviews, and focus groups. Patient recruitment commenced from October 2020.

Results

Recruitment of participants commenced from October 2020, with the aim of enrolling 20 patients over 2 years. Data collection will be completed by the end of 2023, and the results will be published once all data are available for reporting.

Conclusions

The research design, framed within the process of developing and testing innovative interventions, is discussed in line with the aims of the study. The limitations in clinical practice and specific consequences of this study are explained.

International Registered Report Identifier (IRRID)

DERR1-10.2196/35336

Identifying the minimal important difference in patient-reported outcome measures in the field of people with severe mental illness: a pre-post-analysis of the Illness Management and Recovery Programme

Purpose

Complementary interventions for persons with severe mental illness (SMI) focus on both personal recovery and illness self-management. This paper aimed to identify the patient-reported outcome measures (PROMs) associated with the most relevant and meaningful change in persons with SMI who attended the Illness Management and Recovery Programme (IMR).

Methods

The effect of the IMR was measured with PROMs concerning recovery, illness self-management, burden of symptoms and quality of life (QoL). From the QoL measures, an anchor was chosen based on the most statistically significant correlations with the PROMs. Then, we estimated the minimal important difference (MID) for all PROMs using an anchor-based method supported by distribution-based methods. The PROM with the highest outcome for effect score divided by MID (the effect/MID index) was considered to be a measure of the most relevant and meaningful change.

Results

All PROMs showed significant pre–post-effects. The QoL measure ‘General Health Perception (Rand-GHP)’ was identified as the anchor. Based on the anchor method, the Mental Health Recovery Measure (MHRM) showed the highest effect/MID index, which was supported by the distribution-based methods. Because of the modifying gender covariate, we stratified the MID calculations. In most MIDs, the MHRM showed the highest effect/MID indexes.

Conclusion

Taking into account the low sample size and the gender covariate, we conclude that the MHRM was capable of showing the most relevant and meaningful change as a result of the IMR in persons with SMI.

A Systematic Review of the Characteristics and Efficacy of Recovery Training for Mental Health Staff: Implications for Supported Accommodation Services

Evidence suggests a link between recovery-oriented practise and service user outcomes in supported accommodation settings. Current clinical guidelines recommend recovery training for supported accommodation staff, however evidence relating to the effectiveness of this type of training is unclear. This review aimed to describe and compare the characteristics and efficacy of existing recovery training packages for mental health staff. The appropriateness and applicability of the interventions was considered in relation to UK supported accommodation services. Initial search processes returned 830 papers. After duplicate removal, inclusion and exclusion criteria were applied to 489 papers, leaving a final sample of seven papers. Data were reviewed using a narrative synthesis approach. The reviewed papers showed variation in the aims, frequency, and duration of the training interventions, although all included content consistent with the five-domains of the CHIME model. All interventions used direct, in-person teaching, and prioritised interactive, experiential learning, however a number were limited by the absence of feedback, the use of one-off, rather than repeated/follow-up sessions, and a reliance on classroom-based, rather than in-vivo, training. There was limited evidence to suggest a consistent effect of training on staff or service user outcomes, and there was no clear association between the delivery and design characteristics of the interventions and reported outcomes. In considering the development of recovery training for supported accommodation staff, little guidance can be taken from the reviewed literature. Any training package must be developed with consideration of the unique contextual and organisational characteristics of these services. The authors recommend viewing training as one component of a broader goal of service transformation.

Measuring personal recovery in people with a psychotic disorder based on CHIME: A comparison of three validated measures

Living well in spite of residual symptoms of mental illness is measured with the construct of personal recovery. The CHIME framework might be suitable to evaluate personal recovery measures and guide instrument choice. Three validated measures were evaluated in Dutch patients with a psychotic disorder (N = 52). We compared the Recovery Assessment Scale (RAS), the Mental Health Recovery Measure (MHRM), and the Netherlands Empowerment List (NEL). The measures were assessed on six criteria: content validity (based on CHIME), convergent validity with a social support measure, internal consistency, floor and ceiling effects, item interpretability, and ease of administration. The MHRM scored high on content validity with a balanced distribution of items covering the CHIME framework. The MHRM and the NEL showed moderate convergent validity with social support. In all three measures, internal consistency was moderate and floor and ceiling effects were absent. The NEL scores demonstrated a high degree of item interpretability. Ease of administration was moderate for all three measures. Finally, the CHIME framework demonstrated good utility as a framework in guiding instrument choice and evaluation of personal recovery measures. The MHRM showed the best overall result. However, differences between measures were minimal. Generalization of the results is limited by cultural and linguistic factors in the assessment for the subjective measures (i.e. content validity and item interpretability). The broad and multidimensional construct of personal recovery might lead to ambiguous interpretations. Scientific consensus on a well-defined personal recovery construct is needed.

Determinants of clinical, functional and personal recovery for people with schizophrenia and other severe mental illnesses: A cross-sectional analysis

OBJECTIVE

To analyze the relationships between insight, medication adherence, addiction, coping and social support-components of Illness Management and Recovery (IMR)-as determinants of clinical, functional and personal recovery in patients with schizophrenia and other severe mental illnesses. Our rationale lay in the interrelations between these concepts suggested in a conceptual framework of IMR.

METHODS

The cross-sectional design used baseline data of outpatient participants in a randomized clinical trial on IMR (N = 187). We used structural equation modeling (SEM) to describe pathways between degrees of insight, medication adherence, addiction, coping and social support, and degree of clinical, functional and personal recovery. We also explored whether clinical recovery mediated functional and personal recovery.

RESULTS

Our final model showed that coping was associated with clinical, functional and personal recovery. Direct associations between coping and functional and personal recovery were stronger than indirect associations via clinical recovery. Although SEM also showed a significant but weak direct pathway between social support and functional recovery, there were no significant pathways either between social support and clinical or personal recovery, or between insight, medication adherence, addiction and any type of recovery.

CONCLUSIONS

Coping may be a determinant of all three types of recovery, and social support a determinant of functional recovery. Clinical recovery appears not to be a prerequisite for functional or personal recovery. While our results also suggest the relevance of improving coping skills and of enhancing social support, they only partially support the conceptual framework of IMR.

E-IMR: e-health added to face-to-face delivery of Illness Management & Recovery programme for people with severe mental illness, an exploratory clustered randomized controlled trial

BACKGROUND

E-mental health holds promise for people with severe mental illness, but has a limited evidence base. This study explored the effect of e-health added to face-to-face delivery of the Illness Management and Recovery Programme (e-IMR).

METHOD

In this multi-centre exploratory cluster randomized controlled trial, seven clusters (n = 60; 41 in intervention group and 19 in control group) were randomly assigned to e-IMR + IMR or IMR only. Outcomes of illness management, self-management, recovery, symptoms, quality of life, and general health were measured at baseline (T₀), halfway (T₁), and at twelve months (T₂). The data were analysed using mixed model for repeated measurements in four models: in 1) we included fixed main effects for time trend and group, in 2) we controlled for confounding effects, in 3) we controlled for interaction effects, and in 4) we performed sub-group analyses within the intervention group.

RESULTS

Notwithstanding low activity on e-IMR, significant effects were present in model 1 analyses for self-management (p = .01) and recovery (p = .02) at T₁, and for general health perception (p = .02) at T₂, all in favour of the intervention group. In model 2, the confounding covariate gender explained the effects at T₁ and T₂, except for self-management. In model 3, the interacting covariate non-completer explained the effects for self-management (p = .03) at T₁. In model 4, the sub-group analyses of e-IMR-users versus non-users showed no differences in effect.

CONCLUSION

Because of confounding and interaction modifications, effectiveness of e-IMR cannot be concluded. Low use of e-health precludes definite conclusions on its potential efficacy. Low use of e-IMR calls for a thorough process evaluation of the intervention.

TRIAL REGISTRATION

The Dutch Trial Register ( NTR4772 ).

The impact of affective symptoms on personal recovery of patients with severe mental illness

BACKGROUND

Clinical recovery is often defined as remission of symptoms. Personal recovery is described as growing beyond the catastrophic effects of mental illness, sometimes despite ongoing symptoms.

AIMS

To examine the relationship between the severity of clinical symptom domains and personal recovery in patients with severe mental illness (SMI).

METHODS

Symptom severity and personal recovery of 105 outpatients with SMI at Mentrum, part of Arkin Institute for Mental Health in Amsterdam, the Netherlands, were assessed using the Brief Psychiatric Rating Scale-Expanded Version (BPRS-E) and the Mental Health Recovery Measure (MHRM). Correlation and regression analyses were used to investigate the associations.

RESULTS

The multiple regression analysis showed that only affective symptoms significantly predicted personal recovery, whereas neither positive nor negative symptom severity added to the explained variance in the model.

CONCLUSION

The association between affective symptoms and personal recovery in patients with SMI implies that treatment of affective symptoms may advance personal recovery, and/or support of personal recovery may improve mood, whereas focussing on treatment of psychotic symptoms might not be the key to personal recovery. More research is needed to elucidate causal interrelations.

Engaging patients and family members in the evaluation of a mental health patient portal: protocol for a mixed-methods study

INTRODUCTION

Twenty per cent of Canadians will experience a mental illness in any year. Mental health patient portals have been developed to support these individuals in taking more control over their own mental health and care. This may be done through electronic access to their health records and other supportive functions like completion of online self-assessments. To date, there has been limited research into the value that these portals may provide within mental health contexts. This study will identify what value mental health patient portals may offer to patients and their family members.

METHODS AND ANALYSIS

This study will use a mixed-methods design. Patients will complete a survey consisting of validated instruments at the time of enrolment in the portal, and at 3 and 6 months of portal use. Patient and family member focus groups will be conducted. Portal usage data will be collected to identify if there are differences in outcomes based on usage. The study will be done at Canada's largest mental health and addiction teaching hospital, and will be conducted using a patient and family-oriented research approach, engaging these important representatives in all stages of the research process. The primary data analysis for the survey portion of the study will be done using linear mixed-effect models, assessing the differences between patients with different portal usage levels. A thematic analysis will be conducted of the focus group transcripts.

ETHICS AND DISSEMINATION

Approval from the study site's Research Ethics Board has been obtained. The dissemination of findings of this study will be done through presentations at conferences, as well as a formal peer-reviewed journal article. Additionally, the research team will work with a group of patients and family members to identify opportunities to complete knowledge translation and dissemination activities in non-traditional venues.

How effective is the comprehensive approach to rehabilitation (CARe) methodology? A cluster randomized controlled trial

BACKGROUND

The CARe methodology aims to improve the quality of life of people with severe mental illness by supporting them in realizing their goals, handling their vulnerability and improving the quality of their social environment. This study aims to investigate the effectiveness of the CARe methodology for people with severe mental illness on their quality of life, personal recovery, participation, hope, empowerment, self-efficacy beliefs and unmet needs.

METHODS

A cluster Randomized Controlled Trial (RCT) was conducted in 14 teams of three organizations for sheltered and supported housing in the Netherlands. Teams in the intervention group received training in the CARe methodology. Teams in the control group continued working according to care as usual. Questionnaires were filled out at baseline, after 10 months and after 20 months. A total of 263 clients participated in the study.

RESULTS

Quality of life increased in both groups, however, no differences between the intervention and control group were found. Recovery and social functioning did not change over time. Regarding the secondary outcomes, the number of unmet needs decreased in both groups. All intervention teams received the complete training program. The model fidelity at T1 was 53.4% for the intervention group and 33.4% for the control group. At T2 this was 50.6% for the intervention group and 37.2% for the control group.

CONCLUSION

All clients improved in quality of life. However we did not find significant differences between the clients of the both conditions on any outcome measure. Possible explanations of these results are: the difficulty to implement rehabilitation-supporting practice, the content of the methodology and the difficulty to improve the lives of a group of people with longstanding and severe impairments in a relatively short period. More research is needed on how to improve effects of rehabilitation trainings in practice and on outcome level.

TRIAL REGISTRATION

ISRCTN77355880 , retrospectively registered (05/07/2013).

Identifying profiles of service users in housing services and exploring their quality of life and care needs

BACKGROUND

Housing services aim to support people with mental illness in their daily life and recovery. As the level of recovery differs between service users, the quality of life and care needs also might vary. However, the type and amount of care and support that service users receive do not always match their recovery. In order to improve the quality of care, this study aims to explore whether subgroups of service users exist based on three dimensions of recovery and to examine and compare the quality of life and care needs of the persons in these subgroups.

METHODS

Latent class analysis was performed with data from 263 service users of housing services in the Netherlands. Classes were based on three variables: personal recovery (Mental Health Recovery Measure), social recovery (Social Functioning Scale), and clinical recovery (Brief Symptom Inventory). Subsequently, the quality of life (MANSA) and care needs (CANSAS) of the different classes were analysed by the use of descriptive and inferential statistics.

RESULTS

Three classes could be distinguished. Class 1 (45%) comprised of people who score the highest of the three classes in terms of personal and social recovery and who experience the least number of symptoms. People in class 2 (44%) and class 3 (11%) score significantly lower on personal and social recovery, and they experience significantly more symptoms compared to class 1. The distinction between class 2 and 3 can be made on the significantly higher number of symptoms in class 3. All three classes differ significantly on quality of life and unmet needs.

CONCLUSIONS

The quality of life of service users of housing services needs improvement, as even persons in the best-recovered subgroup have a lower quality of life than the average population. Workers of housing services need to be aware of the recovery of a client and what his or her individual needs and goals are. Furthermore, better care (allocation) concerning mental and physical health and rehabilitation is needed. Care should be provided on all dimensions of recovery at the same time, therefore mental health care organisations should work together and integrate their services.

TRIAL REGISTRATION

ISRCTN registry ISRCTN77355880 retrospectively registered 05/07/2013.

Illness Management & Recovery (IMR) in the Netherlands; a naturalistic pilot study to explore the feasibility of a randomized controlled trial

BACKGROUND

Illness Management & Recovery (IMR) is a curriculum-based program for people with severe and persistent mental illness. To date, four randomized controlled trials (RCTs) have been published on it. As these produced mixed results, we conducted a pilot study to test the feasibility of conducting a new RCT in a Dutch psychiatric institute. Because our primary objective was to evaluate support for implementing IMR on a broader scale, we examined participant recruitment, client outcomes, and clients' and clinicians' satisfaction. Secondary objectives were to evaluate fidelity, trainers' training and supervision, and to explore program duration, dropout, and client characteristics related to dropout. For reporting, we used the checklist for pilot studies adopted from the CONSORT Statement.

METHODS

This program evaluation included a process-evaluation and an outcome evaluation with a One Group Pre-Posttest Design (N = 81). Interviews and internal reports were used to monitor participant numbers, program duration, dropout, and completers' characteristics. Clients' and clinicians' satisfaction and provision of trainers' training and supervision were assessed through interviews. Fidelity was assessed on the IMR Fidelity Scale; client outcomes were assessed on the IMR scale (client and clinician versions) and the Recovery Markers Questionnaire (RMQ).

RESULTS

Eighty-one participants were recruited of 167 people who were assessed for eligibility. Completers and clinicians were satisfied, and scores for completers improved significantly on the IMR scale (clinician version) (d = 0.84) and RMQ (d = 0.52), and not significantly on the IMR scale client version (d = 0.41). Mean fidelity was good, but three groups had only moderate fidelity. Our feasibility criterion for trainers' education and supervision was partly attained. Dropout from treatment was 51 %; female participants and people who scored higher on both IMR-scales at baseline had a significantly lower chance of dropping out. The duration of IMR varied (M = 12.7 months, SD = 2.87).

CONCLUSIONS

Results suggested that feasibility of conducting an RCT on IMR was good. Special attention is required to fidelity, IMR duration, trainers' education and supervision, and dropout, especially of men. One study limitation was our inability to conduct follow-up measurements of non-completers.

The Mental Health Recovery Measure Can Be Used to Assess Aspects of Both Customer-Based and Service-Based Recovery in the Context of Severe Mental Illness

Within clinical psychiatry, recovery from severe mental illness (SMI) has classically been defined according to symptoms and function (service-based recovery). However, service-users have argued that recovery should be defined as the process of overcoming mental illness, regaining self-control and establishing a meaningful life (customer-based recovery). Here, we aimed to compare customer-based and service-based recovery and clarify their differential relationship with other constructs, namely needs and quality of life. The study was conducted in 101 patients suffering from SMI, recruited from a rural community mental health setting in Portugal. Customer-based recovery and function-related service-based recovery were assessed, respectively, using a shortened version of the Mental Health Recovery Measure (MHRM-20) and the Global Assessment of Functioning score. The Camberwell Assessment of Need scale was used to objectively assess needs, while subjective quality of life was measured with the TL-30s scale. Using multiple linear regression models, we found that the Global Assessment of Functioning score was incrementally predictive of the MHRM-20 score, when added to a model including only clinical and demographic factors, and that this model was further incremented by the score for quality of life. However, in an alternate model using the Global Assessment of Functioning score as the dependent variable, while the MHRM-20 score contributed significantly to the model when added to clinical and demographic factors, the model was not incremented by the score for quality of life. These results suggest that, while a more global concept of recovery from SMI may be assessed using measures for service-based and customer-based recovery, the latter, namely the MHRM-20, also provides information about subjective well-being. Pending confirmation of these findings in other populations, this instrument could thus be useful for comprehensive assessment of recovery and subjective well-being in patients suffering from SMI.

Effectiveness of illness management and recovery (IMR) in the Netherlands: a randomised clinical trial

BACKGROUND

Illness Management and Recovery (IMR) is intended to provide a structured psychosocial programme that helps to manage the disabling effects of severe mental illnesses such as schizophrenia and bipolar disorders. It is curriculum based and aims to improve different aspects of illness management and recovery through interventions such as goal-setting, psycho-education, coping and social skills training. Its overall aim is to improve illness outcomes and support subjective and objective recovery. To date there have been four RCTs on IMR; as these yielded mixed results, further research is needed. Our hypotheses aim to test the interrelatedness assumed in Mueser's Conceptual Framework for IMR for the many aspects of illness management, illness management outcomes and recovery.

METHODS/DESIGN

This randomised multi-centre, single-blinded clinical trial is intended to compare IMR with treatment as usual for 200 outpatient clients with a severe and persistent mental illness (SMI). We will investigate whether IMR leads to better illness management, fewer symptoms and fewer relapses, and also to better subjective and objective recovery. The primary outcome measure is the score on the client version of the Illness Management and Recovery Scale. Secondary outcome measures are the clinician version of the Illness Management and Recovery scale, measures of illness management, coping, symptoms, the number of relapses, and measures of recovery. Measurement will take place before randomisation, and 12 and 18 months after randomisation.

DISCUSSION

Overall, our study has the following strengths: 1.) our use of an RCT design in a country where the earlier RCTs on IMR were not conducted; 2.) the fact that participants will consist not only of people with a diagnosis of schizophrenia, but also of those with various types of SMI; 3.) our inclusion of 200 participants; and 4.) the fact that we will explore the working mechanisms described in Mueser's Conceptual Framework for IMR. Finally, 5.) because the RCT will be conducted in everyday clinical practice, we believe that the generalisability of our results will be good.

TRIAL REGISTRATION

The Netherlands National Trial Register (identifier: NTR 5033 ). Date registered: 13 January 2015.

Development of an e-supported illness management and recovery programme for consumers with severe mental illness using intervention mapping, and design of an early cluster randomized controlled trial

Background

E-mental health is a promising medium to keep mental health affordable and accessible. For consumers with severe mental illness the evidence of the effectiveness of e-health is limited. A number of difficulties and barriers have to be addressed concerning e-health for consumers with severe mental illness. One possible solution might be to blend e-health with face-to-face delivery of a recovery-oriented treatment, like the Illness Management & Recovery (IMR) programme. This paper describes the development of an e-health application for the IMR programme and the design of an early clustered randomized controlled trial.

Method/Design

We developed the e-IMR intervention according to the six-step protocol of Intervention Mapping. Consumers joined the development group to address important and relevant issues for the target group. Decisions during the six-step development process were based on qualitative evaluations of the Illness Management & Recovery programme, structured interviews, discussion in the development group, and literature reviews on qualitative papers concerning consumers with severe mental illness, theoretical models, behavioural change techniques, and telemedicine for consumers with severe mental illness. The aim of the e-IMR intervention is to help consumers with severe mental illness to involve others, manage achieving goals, and prevent relapse. The e-IMR intervention consists of face-to-face delivery of the Illness Management & Recovery programme and an e-health application containing peer-testimonials on videos, follow up on goals and coping strategies, monitoring symptoms, solving problems, and communication opportunities.

We designed an early cluster randomized controlled trial that will evaluate the e-IMR intervention. In the control condition the Illness Management & Recovery programme is provided. The main effect-study parameters are: illness management, recovery, psychiatric symptoms severity, self-management, quality of life, and general health. The process of the IMR program will be evaluated on fidelity and feasibility in semi-structured interviews with participants and trainers.

Discussion

Intervention Mapping provided a systematic procedure for the development of this e-health intervention for consumers with severe mental illness and the preparation of an early randomized controlled trial.

Trial Registration

The trial is registered in the Dutch Trial Register: NTR4772 .

Effectiveness of the Comprehensive Approach to Rehabilitation (CARe) methodology: design of a cluster randomized controlled trial

BACKGROUND

There is an increasing amount of evidence for the effectiveness of rehabilitation interventions for people with severe mental illness (SMI). In the Netherlands, a rehabilitation methodology that is well known and often applied is the Comprehensive Approach to Rehabilitation (CARe) methodology. The overall goal of the CARe methodology is to improve the client's quality of life by supporting the client in realizing his/her goals and wishes, handling his/her vulnerability and improving the quality of his/her social environment. The methodology is strongly influenced by the concept of 'personal recovery' and the 'strengths case management model'. No controlled effect studies have been conducted hitherto regarding the CARe methodology.

METHODS/DESIGN

This study is a two-armed cluster randomized controlled trial (RCT) that will be executed in teams from three organizations for sheltered and supported housing, which provide services to people with long-term severe mental illness. Teams in the intervention group will receive the multiple-day CARe methodology training from a specialized institute and start working according the CARe Methodology guideline. Teams in the control group will continue working in their usual way. Standardized questionnaires will be completed at baseline (T0), and 10 (T1) and 20 months (T2) post baseline. Primary outcomes are recovery, social functioning and quality of life. The model fidelity of the CARe methodology will be assessed at T1 and T2.

DISCUSSION

This study is the first controlled effect study on the CARe methodology and one of the few RCTs on a broad rehabilitation method or strength-based approach. This study is relevant because mental health care organizations have become increasingly interested in recovery and rehabilitation-oriented care.

TRIAL REGISTRATION

The trial registration number is ISRCTN77355880 .