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      Towards a conceptual framework of the working alliance in a blended low-intensity cognitive behavioural therapy intervention for depression in primary mental health care: a qualitative study

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          Abstract

          Objectives

          To examine and adapt a conceptual framework of the working alliance (WA) in the context of a low-intensity blended (psychological well-being practitioner (PWP) plus computerised program) cognitive behavioural therapy intervention (b-CBT) for depression.

          Design

          Patient involvement was enlisted to collaboratively shape the design of the project from the onset, before data collection. In-depth semi-structured interviews were carried out with participants who experienced b-CBT as part of the E-compared trial. A thematic analysis was conducted using a constant comparative method informed by grounded theory.

          Setting

          Recruitment was carried out in four psychological primary care services across the UK.

          Participants

          Nineteen trial participants with major depressive disorder who completed at least one computerised program and face-to-face session with a PWP in the b-CBT arm were recruited to the study.

          Results

          Qualitative interviews that were guided by WA theory and patient involvement, revealed four themes: (1) a healthcare provider (PWP and computerised program) with good interpersonal competencies for building a working relationship with the client (‘bond’); (2) collaborative efforts between the client and the provider to appropriately identify what the client hopes to achieve through therapy (‘goals’); (3) the selection of acceptable therapeutic activities that address client goals and the availability of responsive support (‘task’) and (4) the promotion of active engagement and autonomous problem solving (‘usability heuristics’). Participants described how the PWP and computerised program uniquely and collectively contributed to different WA needs.

          Conclusions

          This study is the first to offer a preliminary conceptual framework of WA in b-CBT for depression, and how such demands can be addressed through blended PWP-computerised program delivery. These findings can be used to promote WA in technological design and clinical practice, thereby promoting engagement to b-CBT interventions and effective deployment of practitioner and program resources.

          Trial registration number

          ISRCTN12388725.

          Related collections

          Most cited references18

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          Digital Mental Health and COVID-19: Using Technology Today to Accelerate the Curve on Access and Quality Tomorrow

          As interest in and use of telehealth during the COVID-19 global pandemic increase, the potential of digital health to increase access and quality of mental health is becoming clear. Although the world today must “flatten the curve” of spread of the virus, we argue that now is the time to “accelerate and bend the curve” on digital health. Increased investments in digital health today will yield unprecedented access to high-quality mental health care. Focusing on personal experiences and projects from our diverse authorship team, we share selected examples of digital health innovations while acknowledging that no single piece can discuss all the impressive global efforts past and present. Exploring the success of telehealth during the present crisis and how technologies like apps can soon play a larger role, we discuss the need for workforce training, high-quality evidence, and digital equity among other factors critical for bending the curve further.
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            Digital technology for treating and preventing mental disorders in low-income and middle-income countries: a narrative review of the literature

            Few individuals living with mental disorders around the globe have access to mental health care, yet most have access to a mobile phone. Digital technology holds promise for improving access to, and quality of, mental health care. We reviewed evidence on the use of mobile, online, and other remote technologies for treatment and prevention of mental disorders in low-income and middle-income countries. Of the 49 studies identified, most were preliminary evaluations of feasibility and acceptability. The findings were promising, showing the potential effectiveness of online, text-messaging, and telephone support interventions. We summarised the evaluations as: technology for supporting clinical care and educating health workers, mobile tools for facilitating diagnosis and detection of mental disorders, technologies for promoting treatment adherence and supporting recovery, online self-help programmes for individuals with mental disorders, and programmes for substance misuse prevention and treatment. Continued research is needed to rigorously evaluate effectiveness, assess costs, and carefully consider potential risks of digital technology interventions for mental disorders, while determining how emerging technologies might support the scale-up of mental health treatment and prevention efforts across low-resource settings.
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              The impact of digital technology on psychological treatments and their dissemination

              The psychological treatment of mental health problems is beginning to undergo a sea-change driven by the widespread availability of digital technology. In this paper we provide an overview of the developments to date and those in the pipeline. We describe the various uses of digital interventions and consider their likely impact on clinical practice, clinical services and the global dissemination of psychological treatments. We note the importance of online clinics, blended treatment, digital assessment and digital training.
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                Author and article information

                Journal
                BMJ Open
                BMJ Open
                bmjopen
                bmjopen
                BMJ Open
                BMJ Publishing Group (BMA House, Tavistock Square, London, WC1H 9JR )
                2044-6055
                2020
                23 September 2020
                : 10
                : 9
                : e036299
                Affiliations
                [1 ] departmentFaculty of Epidemiology and Population Health , London School of Hygiene and Tropical Medicine , London, UK
                [2 ] departmentSchool of Psychology , University of Sussex , Brighton, UK
                [3 ] departmentHealth Service and Population Research Department , King’s College London , London, UK
                [4 ] departmentDepartment of Psychiatry , Oxford University , Oxford, UK
                [5 ] departmentHealth Services Research and Policy , London School of Hygiene and Tropical Medicine , London, UK
                Author notes
                [Correspondence to ] Asmae Doukani; asmae.doukani@ 123456lshtm.ac.uk
                Author information
                http://orcid.org/0000-0001-8629-2953
                http://orcid.org/0000-0001-5677-1662
                http://orcid.org/0000-0002-2013-6963
                Article
                bmjopen-2019-036299
                10.1136/bmjopen-2019-036299
                7513595
                32967872
                1760bf0b-1f79-488f-9a72-217277d58c19
                © Author(s) (or their employer(s)) 2020. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.

                This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See:  http://creativecommons.org/licenses/by-nc/4.0/.

                History
                : 17 December 2019
                : 18 July 2020
                : 07 August 2020
                Funding
                Funded by: Wellcome Trust;
                Award ID: 104908/Z/14/Z
                Categories
                Mental Health
                1506
                1712
                Original research
                Custom metadata
                unlocked

                Medicine
                telemedicine,mental health,depression & mood disorders
                Medicine
                telemedicine, mental health, depression & mood disorders

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