The Therapeutic Alliance: The Key to Effective Patient Outcome? A Descriptive Review of the Evidence in Community Mental Health Case Management

2003 ◽  
Vol 37 (2) ◽  
pp. 169-183 ◽  
Author(s):  
Irene M. Howgego ◽  
Peter Yellowlees ◽  
Cathy Owen ◽  
Lenore Meldrum ◽  
Frances Dark

Objective: The aim of this review was to examine the level of evidence supporting the assumed link between a positive therapeutic alliance among patients and case managers and effective outcome for patients with a mental illness who are managed in community mental health services. Method: MedLine, PsychINFO and Social Sciences Index search of articles from 1986 to 2001 returned 84 articles and two texts. Inclusion criteria were the use of validated measures and relevance to psychiatry and community case management. Results: A definite correlation exists in the psychotherapy literature between the therapeutic relationship and improved outcomes, with its potential as a prognostic indicator acknowledged. Attempts to apply the concept to patients outside the field of psychotherapy have been slow, although expansion of the concept to other forms of change-inducing therapy was a current trend. Issues of definition, quantification and measurement of the relationship caused rigorous debate in the literature. Case management research demonstrating the importance of the therapeutic relationship and ‘goodness-of-fit’ between patients and case managers was sparse with no published Australian studies. Conclusions: The level of evidence supporting the link between the therapeutic alliance of patients with mental illness and improved outcomes although sparse is encouraging. It indicates the potential of the alliance as a predictor of outcome for patients engaged in case management services in community mental health. Research to determine the role and effectiveness of the alliance in the patient/case manager dyad is needed to define this potential. Effectiveness of clinical practice in the case management field could be enhanced if research findings confirmed the genesis and value of the alliance in case management. Focus on relationship strategies as a clinical tool gives the clinician and service provider a potential vehicle for promoting partnerships with the seriously mentally ill person in managing their illness and optimizing their strengths in the community.

2020 ◽  
Author(s):  
Simon Byrne ◽  
Beth Kotze ◽  
Fabio Ramos ◽  
Achim Casties ◽  
Jean Starling ◽  
...  

BACKGROUND Symptoms of mental illness are often triggered by stress, and individuals with mental illness are sensitive to these effects. The development of mobile health (mHealth) devices allows continuous recording of biometrics associated with activity, sleep, and arousal. Deviations in these measures could indicate a stressed state requiring early intervention. This paper describes a protocol for integrating an mHealth device into a community mental health team to enhance management of severe mental illness in young adults. OBJECTIVE The aim of this study is to examine (1) whether an mHealth device integrated into a community mental health team can improve outcomes for young adults with severe mental illness and (2) whether the device detects periods of mental health versus deterioration. METHODS This study examines whether physiological information from an mHealth device prevents mental deterioration when shared with the participant and clinical team versus with the participant alone. A randomized controlled trial (RCT) will allocate 126 young adults from community mental health services for 6 months to standard case management combined with an integrated mHealth device (ie, physiological information is viewed by both participant and case manager: unWIRED intervention) or an unintegrated mHealth device (ie, participant alone self-monitors: control). Participants will wear the Empatica Embrace2 device, which continuously records electrodermal activity and actigraphy (ie, rest and activity). The study also examines whether the Embrace2 can detect periods of mental health versus deterioration. A variety of measurements will be taken, including physiological data from the Embrace2; participant and case manager self-report regarding symptoms, functioning, and quality of life; chart reviews; and ecological momentary assessments of stress in real time. Changes in each participant’s Clinical Global Impression Scale scores will be assessed by blinded raters as the primary outcome. In addition, participants and case managers will provide qualitative data regarding their experience with the integrated mHealth device, which will be thematically analyzed. RESULTS The study has received ethical approval from the Western Sydney Local Health District Human Research Ethics Committee. It is due to start in October 2020 and conclude in October 2022. CONCLUSIONS The RCT will provide insight as to whether an integrated mHealth device enables case managers and participants to pre-emptively manage early warning signs and prevent relapse. We anticipate that unWIRED will enhance early intervention by improving detection of stress and allowing case managers and patients to better engage and respond to symptoms. CLINICALTRIAL Australian New Zealand Clinical Trials Registry (ANZCTR) ACTRN12620000642987; https://www.anzctr.org.au/ACTRN12620000642987.aspx INTERNATIONAL REGISTERED REPORT PRR1-10.2196/19510


10.2196/19510 ◽  
2020 ◽  
Vol 9 (11) ◽  
pp. e19510
Author(s):  
Simon Byrne ◽  
Beth Kotze ◽  
Fabio Ramos ◽  
Achim Casties ◽  
Jean Starling ◽  
...  

Background Symptoms of mental illness are often triggered by stress, and individuals with mental illness are sensitive to these effects. The development of mobile health (mHealth) devices allows continuous recording of biometrics associated with activity, sleep, and arousal. Deviations in these measures could indicate a stressed state requiring early intervention. This paper describes a protocol for integrating an mHealth device into a community mental health team to enhance management of severe mental illness in young adults. Objective The aim of this study is to examine (1) whether an mHealth device integrated into a community mental health team can improve outcomes for young adults with severe mental illness and (2) whether the device detects periods of mental health versus deterioration. Methods This study examines whether physiological information from an mHealth device prevents mental deterioration when shared with the participant and clinical team versus with the participant alone. A randomized controlled trial (RCT) will allocate 126 young adults from community mental health services for 6 months to standard case management combined with an integrated mHealth device (ie, physiological information is viewed by both participant and case manager: unWIRED intervention) or an unintegrated mHealth device (ie, participant alone self-monitors: control). Participants will wear the Empatica Embrace2 device, which continuously records electrodermal activity and actigraphy (ie, rest and activity). The study also examines whether the Embrace2 can detect periods of mental health versus deterioration. A variety of measurements will be taken, including physiological data from the Embrace2; participant and case manager self-report regarding symptoms, functioning, and quality of life; chart reviews; and ecological momentary assessments of stress in real time. Changes in each participant’s Clinical Global Impression Scale scores will be assessed by blinded raters as the primary outcome. In addition, participants and case managers will provide qualitative data regarding their experience with the integrated mHealth device, which will be thematically analyzed. Results The study has received ethical approval from the Western Sydney Local Health District Human Research Ethics Committee. It is due to start in October 2020 and conclude in October 2022. Conclusions The RCT will provide insight as to whether an integrated mHealth device enables case managers and participants to pre-emptively manage early warning signs and prevent relapse. We anticipate that unWIRED will enhance early intervention by improving detection of stress and allowing case managers and patients to better engage and respond to symptoms. Trial Registration Australian New Zealand Clinical Trials Registry (ANZCTR) ACTRN12620000642987; https://www.anzctr.org.au/ACTRN12620000642987.aspx International Registered Report Identifier (IRRID) PRR1-10.2196/19510


2012 ◽  
Vol 28 (4) ◽  
pp. 255-261 ◽  
Author(s):  
Sabine Loos ◽  
Reinhold Kilian ◽  
Thomas Becker ◽  
Birgit Janssen ◽  
Harald Freyberger ◽  
...  

Objective: There are presently no instruments available in German language to assess the therapeutic relationship in psychiatric care. This study validates the German version of the Scale to Assess the Therapeutic Relationship in Community Mental Health Care (D-STAR). Method: 460 persons with severe mental illness and 154 clinicians who had participated in a multicenter RCT testing a discharge planning intervention completed the D-STAR. Psychometric properties were established via item analysis, analyses of missing values, internal consistency, and confirmatory factor analysis. Furthermore, convergent validity was scrutinized via calculating correlations of the D-STAR scales with two measures of treatment satisfaction. Results: As in the original English version, fit indices of a 3-factor model of the therapeutic relationship were only moderate. However, the feasibility and internal consistency of the D-STAR was good, and correlations with other measures suggested reasonable convergent validity. Conclusions: The psychometric properties of the D-STAR are acceptable. Its use can be recommended in German-speaking countries to assess the therapeutic relationship in both routine care and research.


2007 ◽  
Vol 43 (6) ◽  
pp. 565-581 ◽  
Author(s):  
Peter J. Kelly ◽  
Frank P. Deane ◽  
Robert King ◽  
Nikolaos Kazantzis ◽  
Trevor P. Crowe

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