The TrueBlue model of collaborative care using practice nurses as case managers for depression alongside diabetes or heart disease: a randomised trial

Morgan, Mark; Coates, Michael; Dunbar, James; Reddy, Prasuna; Schlicht, Kate; Fuller, Jeffrey

doi:10.1136/bmjopen-2012-002171

Cited by 85 publications

(145 citation statements)

References 34 publications

Supporting

Mentioning

142

Contrasting

Order By: Relevance

“…The majority of collaborative care trials have been carried out in a health-care setting and they tend to be targeted at depression and anxiety disorders 32,[41][42][43][44][45][46][47][48] (Table 2). Accordingly, most outcomes were condition-specific measures.…”

Section: Summary Of the Results Of The Reviewmentioning

confidence: 99%

Collaborative case management to aid return to work after long-term sickness absence: a pilot randomised controlled trial

et al. 2018

View full text Add to dashboard Cite

BackgroundDespite high levels of employment among working-age adults in the UK, there is still a significant minority who are off work with ill health at any one time (so-called ‘sickness absence’). Long-term sickness absence results in significant costs to the individual, to the employer and to wider society.ObjectiveThe overall objective of the intervention was to improve employee well-being with a view to aiding return to work. To meet this aim, a collaborative case management intervention was adapted to the needs of UK employees who were entering or experiencing long-term sickness absence.DesignA pilot randomised controlled trial, using permuted block randomisation. Recruitment of patients with long-term conditions in settings such as primary care was achieved by screening of routine records, followed by mass mailing of invitations to participants. However, the proportion of patients responding to such invitations can be low, raising concerns about external validity. Recruitment in the Case Management to Enhance Occupational Support (CAMEOS) study used this method to test whether or not it would transfer to a population with long-term sickness absence in the context of occupational health (OH).ParticipantsEmployed people on long-term sickness absence (between 4 weeks and 12 months). The pilot was run with two different collaborators: a large organisation that provided OH services for a number of clients and a non-profit community-based organisation.InterventionCollaborative case management was delivered by specially trained case managers from the host organisations. Sessions were delivered by telephone and supported use of a self-help handbook. The comparator was usual care as provided by participants’ general practitioner (GP) or OH provider. This varied for participants according to the services available to them. Neither participants nor the research team were blind to randomisation.Main outcome measuresRecruitment rates, intervention delivery and acceptability to participants were the main outcomes. Well-being, as measured by the Clinical Outcomes in Routine Evaluation Outcome Measure (CORE-OM), and return-to-work rates were also recorded.ResultsIn total, over 1000 potentially eligible participants were identified across the sites and invited to participate. However, responses were received from just 61 of those invited (5.5%), of whom 16 (1.5%) were randomised to the trial (seven to treatment, nine to control). Detailed information on recruitment methods, intervention delivery, engagement and acceptability is presented. No harms were reported in either group.ConclusionsThis pilot study faced a number of barriers, particularly in terms of recruitment of employers to host the research. Our ability to respond to these challenges faced several barriers related to the OH context and the study set up. The intervention seemed feasible and acceptable when delivered, although caution is required because of the small number of randomised participants. However, employees’ lack of engagement in the research might imply that they did not see the intervention as valuable.Future workDeveloping effective and acceptable ways of reducing sickness absence remains a high priority. We discuss possible ways of overcoming these challenges in the future, including incentives for employers, alternative study designs and further modifications to recruitment methods.Trial registrationCurrent Controlled Trials ISRCTN33560198.FundingThis project was funded by the NIHR Public Health Research programme and will be published in full inPublic Health Research; Vol. 6, No. 2. See the NIHR Journals Library website for further project information.

show abstract

Section: Summary Of the Results Of The Reviewmentioning

confidence: 99%

Collaborative case management to aid return to work after long-term sickness absence: a pilot randomised controlled trial

et al. 2018

View full text Add to dashboard Cite

show abstract

“…Key international examples of measurement-based care include the Improving Access to Psychological Therapies (IAPT) program within the UK National Health Service 43,44 , the Dutch Depression Initiative primary mental health collaborative care model 45 , and the Australian TrueBlue model 46 . Notably, after initial pilot testing and successful evaluation, the IAPT was expanded in the UK for at least 1.5 million adults to access care each year by 2020/21 47 , and the Depression Initiative primary mental health collaborative care model was included in the Netherlands into the list of national essential benefits as part of the Health Insurance Act 45 .…”

Section: Current State Of Measuring Mental Health Care Qualitymentioning

confidence: 99%

Measuring and improving the quality of mental health care: a global perspective

et al. 2018

View full text Add to dashboard Cite

Mental disorders are common worldwide, yet the quality of care for these disorders has not increased to the same extent as that for physical conditions. In this paper, we present a framework for promoting quality measurement as a tool for improving quality of mental health care. We identify key barriers to this effort, including lack of standardized information technology-based data sources, limited scientific evidence for mental health quality measures, lack of provider training and support, and cultural barriers to integrating mental health care within general health environments. We describe several innovations that are underway worldwide which can mitigate these barriers. Based on these experiences, we offer several recommendations for improving quality of mental health care. Health care payers and providers will need a portfolio of validated measures of patient-centered outcomes across a spectrum of conditions. Common data elements will have to be developed and embedded within existing electronic health records and other information technology tools. Mental health outcomes will need to be assessed more routinely, and measurement-based care should become part of the overall culture of the mental health care system. Health care systems will need a valid way to stratify quality measures, in order to address potential gaps among subpopulations and identify groups in most need of quality improvement. Much more attention should be devoted to workforce training in and capacity for quality improvement. The field of mental health quality improvement is a team sport, requiring coordination across different providers, involvement of consumer advocates, and leveraging of resources and incentives from health care payers and systems.

show abstract

“…The identification and proactive management of depression in general primary care in Australia has been shown to improve outcomes (reduced depression and improved treatment intensification sustained over 12 months, with a reduction in 10-year cardiovascular disease risk) in people with diabetes and heart disease 14. A freely available, culturally valid depression screening tool for use across Australia is required to achieve the same benefit in Indigenous peoples attending primary care.…”

Section: Introductionmentioning

confidence: 99%

Getting it Right: study protocol to determine the diagnostic accuracy of a culturally-specific measure to screen for depression in Aboriginal and/or Torres Strait Islander people

et al. 2016

View full text Add to dashboard Cite

IntroductionA freely available, culturally valid depression screening tool is required for use by primary care services across Australia to screen for depression in Aboriginal and/or Torres Strait Islander populations. This is the protocol for a study aiming to determine the validity, sensitivity and specificity of the culturally adapted 9-item Patient Health Questionnaire (aPHQ-9).Methods and analysisCross-sectional validation study. A total of 500 people who self-identify as Aboriginal and/or Torres Strait Islander, are ≥18 years of age, attending 1 of 10 primary healthcare services or service events across Australia and able to communicate sufficiently to answer study questions will be recruited. All participants will complete the aPHQ-9 and the criterion standard MINI International Neuropsychiatric Interview (MINI) 6.0.0. The primary outcome is the criterion validity of the aPHQ-9. Process outcomes related to acceptability and feasibility of the aPHQ-9 will be analysed only if the measure is found to be valid.Ethics and disseminationLead ethical approval was obtained jointly from the University of Sydney Human Research Ethics Committee (project 2014/361) and the Aboriginal Health and Medical Research Council of New South Wales (project 1044/14). Results will be disseminated via the usual scientific forums, including peer-reviewed publications and presentations at international conferences following presentation to, discussion with and approval by participating primary healthcare service staff and community.Trial registration numberACTRN12614000705684.

show abstract

The TrueBlue model of collaborative care using practice nurses as case managers for depression alongside diabetes or heart disease: a randomised trial

Cited by 85 publications

References 34 publications

Collaborative case management to aid return to work after long-term sickness absence: a pilot randomised controlled trial

Collaborative case management to aid return to work after long-term sickness absence: a pilot randomised controlled trial

Measuring and improving the quality of mental health care: a global perspective

Getting it Right: study protocol to determine the diagnostic accuracy of a culturally-specific measure to screen for depression in Aboriginal and/or Torres Strait Islander people

Contact Info

Product

Resources

About