Measuring Mental Health Recovery: An Application of Rasch Modeling to the Consumer Recovery Measure

BACKGROUND Many people are affected by mental health conditions, yet its prevalence in certain populations are not well documented. OBJECTIVE The aim of this study is to describe the attributes of people with mental health conditions in U.S and SG in terms of: perception of mental health recovery and its correlates such as strengths self-efficacy, resourcefulness and stigma experience. With the findings, not only could the knowledge base for mental health recovery in both countries be enhanced but interventions and policies relating to self-efficacy, resourcefulness and de-stigmatization for mental health recovery could be informed. METHODS A A cross-sectional, descriptive study with convenience sample of 200 community dwelling adults were selected, 100 pax from the United States (U.S) and 100 pax from Singapore (SG). Adults with serious mental illnesses without substance abuse impacting on their recovery were recruited. Participants completed self-administered questionaires measuring their mental health recovery, strengths self-efficacy, resourcefulness and stigma experience. RESULTS This study offered the unique opportunity to examine mental health recovery as well as its correlates such as strengths self-efficacy, resourcefulness and stigma experience from both the United States and Singapore. While the perception of mental health recovery and positive attributes like strengths self-efficacy and resourcefulness remained strong in participants with serious mental illnesses across both countries, people with serious mental illnesses in both countries still experienced negative perception like stigma. The findings would not only inform strategies to promote mental health recovery but also enhance the focus on correlates such as strengths self-efficacy and resourcefulness across both countries. CONCLUSIONS The findings would not only inform strategies to promote mental health recovery but also enhance the focus on correlates such as strengths self-efficacy and resourcefulness across both countries.

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Review: Growing spaces: an evaluation of the mental health recovery programme using mixed methods

Journal of Research in Nursing ◽

10.1177/1744987118767273 ◽

2018 ◽

Vol 23 (6) ◽

pp. 490-491 ◽

Cited By ~ 1

Author(s):

Steve Dilworth

Keyword(s):

Mental Health ◽

Mixed Methods ◽

Mental Health Recovery

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Individualized Intervention to Support Mental Health Recovery Through Implementation of Digital Tools into Clinical Care: Feasibility Study

Community Mental Health Journal ◽

10.1007/s10597-021-00798-6 ◽

2021 ◽

Author(s):

Elizabeth Carpenter-Song ◽

Stephanie C. Acquilano ◽

Valerie Noel ◽

Monirah Al-Abdulmunem ◽

John Torous ◽

...

Keyword(s):

Mental Health ◽

Feasibility Study ◽

Clinical Care ◽

Digital Tools ◽

Mental Health Recovery ◽

Individualized Intervention

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Recovery Star: validating user recovery

The Psychiatrist ◽

10.1192/pb.bp.111.034264 ◽

2012 ◽

Vol 36 (2) ◽

pp. 45-50 ◽

Cited By ~ 34

Author(s):

Geoff Dickens ◽

Judy Weleminsky ◽

Yetunde Onifade ◽

Philip Sugarman

Keyword(s):

Mental Health ◽

Mental Health Services ◽

Health Services ◽

Internal Consistency ◽

Mental Health Problems ◽

Service Providers ◽

Mental Health Recovery ◽

Addictive Behaviour ◽

Health Service Providers ◽

The Uk

Aims and methodMental Health Recovery Star is a multifaceted 10-item outcomes measure and key-working tool that has been widely adopted by service providers in the UK. We aimed to explore its factorial validity, internal consistency and responsiveness. Recovery Star readings were conducted twice with 203 working-age adults with moderate to severe mental health problems attending a range of mental health services, and a third time with 113 of these individuals.ResultsMental Health Recovery Star had high internal consistency and appeared to measure an underlying recovery-oriented construct. Results supported a valid two-factor structure which explained 48% of variance in Recovery Star ratings data. Two Recovery Star items (‘relationships’ and ‘addictive behaviour’) did not load onto either factor. There was good statistically significant item responsiveness, and no obvious item redundancy. Data for a small number of variables were not normally distributed and the implications of this are discussed.Clinical implicationsRecovery Star has been received enthusiastically by both mental health service providers and service users. This study provides further evidence for its adoption in recovery-focused mental health services and indicates that items relating to addictive behaviour, responsibilities and work could be further developed in future.

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A comparison of formal and informal help in the context of mental health recovery

International Journal of Social Psychiatry ◽

10.1177/00207640211004988 ◽

2021 ◽

pp. 002076402110049

Author(s):

François Lauzier-Jobin ◽

Janie Houle

Keyword(s):

Mental Health ◽

Social Support ◽

Critical Realism ◽

Bipolar Disorders ◽

Mental Health Recovery ◽

Helping Relationships ◽

Individual Interviews ◽

Time Limitations ◽

Method Approach ◽

Informal Help

Background: People in recovery from anxiety, depressive or bipolar disorders can receive both formal (from practitioners) and informal help (from family and friends). These two types of helping relationships have often been studied separately as either therapeutic relationships or social support. Yet, the mechanisms of these two forms of help have not been empirically compared in the context of mental health recovery. Aims: The purpose of this study is to compare the mechanisms of informal help and formal help in recovery by combining the perspectives of individuals in recovery, their informal helper and their practitioner. Method: Individual interviews were conducted with 15 triads ( N = 45 participants) comprising a person in recovery, their most significant informal helper and their most significant practitioner to compare the two forms of help through a mixed method approach. Based on the paradigm of critical realism, the research puts the emphasis on the triangulation of data sources and types. Results: The informal and formal helping relationships serve multiple functions some can be found in both, often in different ways (communication, presence and availability). Informal helpers tend to serve a broader array of functions than practitioners do. Regarding differences, formal help is characterised by scheduling, time limitations and professional competencies. Informal help is characterised by emotional closeness, companionship and reciprocity. Also, people in recovery are active when it comes to determining the role that their helpers play (agency). Conclusions: Social support from family members and friends, as well as help from professionals can contribute to recovery in different ways. Attesting to the agency of people in recovery, the two forms of help are not only perceived as complementary, they are deliberately kept so.

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