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In: Competition in Health Care, S. 216-236
In: Scottish journal of political economy: the journal of the Scottish Economic Society, Band 38, Heft 1, S. 96-105
ISSN: 1467-9485
This research was funded by the National Health and Medical Research Council of Australia (Project Grant 632662). Dr Norman was supported by a NHMRC Early Career Research Fellowship (1069732). Professor King was supported by the Australian Government through Cancer Australia. ; Peer reviewed ; Publisher PDF
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In: Saxon , D , Ashley , K , Bishop-Edwards , L , Connell , J , Harrison , P , Ohlsen , S , Hardy , G E , Kellett , S , Mukuria , C , Mank , T , Bower , P , Bradburn , M , Brazier , J , Elliott , R , Gabriel , L , King , M , Pilling , S , Shaw , S , Waller , G & Barkham , M 2017 , ' A pragmatic randomised controlled trial assessing the non-inferiority of counselling for depression versus cognitive-behaviour therapy for patients in primary care meeting a diagnosis of moderate or severe depression (PRaCTICED) : Study protocol for a randomised controlled trial ' Trials , vol 18 , no. 1 , 93 . DOI:10.1186/s13063-017-1834-6
Background: NICE guidelines state cognitive behavioural therapy (CBT) is a front-line psychological treatment for people presenting with depression in primary care. Counselling for Depression (CfD), a form of Person-Centred Experiential therapy, is also offered within Improving Access to Psychological Therapies (IAPT) services for moderate depression but its effectiveness for severe depression has not been investigated. A full-scale randomised controlled trial to determine the efficacy and cost-effectiveness of CfD is required. Methods: PRaCTICED is a two-arm, parallel group, non-inferiority randomised controlled trial comparing CfD against CBT. It is embedded within the local IAPT service using a stepped care service delivery model where CBT and CfD are routinely offered at step 3. Trial inclusion criteria comprise patients aged 18 years or over, wishing to work on their depression, judged to require a step 3 intervention, and meeting an ICD-10 diagnosis of moderate or severe depression. Patients are randomised using a centralised, web-based system to CfD or CBT with each treatment being delivered up to a maximum 20 sessions. Both interventions are manualised with treatment fidelity tested via supervision and random sampling of sessions using adherence/competency scales. The primary outcome measure is the Patient Health Questionnaire-9 collected at baseline, 6 and 12 months. Secondary outcome measures tap depression, generic psychological distress, anxiety, functioning and quality of life. Cost-effectiveness is determined by a patient service receipt questionnaire. Exit interviews are conducted with patients by research assessors blind to treatment allocation. The trial requires 500 patients (250 per arm) to test the non-inferiority hypothesis of -2 PHQ-9 points at the one-sided, 2.5% significance level with 90% power, assuming no underlying difference and a standard deviation of 6.9. The primary analysis will be undertaken on all patients randomised (intent to treat) alongside per-protocol and complier-average causal effect analyses as recommended by the extension to the CONSORT statement for non-inferiority trials. Discussion: This large-scale trial utilises routinely collected outcome data as well as specific trial data to provide evidence of the comparative efficacy and cost-effectiveness of Counselling for Depression compared with Cognitive Behaviour Therapy as delivered within the UK government's Improving Access to Psychological Therapies initiative. Trial registration: Controlled Trials ISRCTN Registry, ISRCTN06461651. Registered on 14 September 2014.
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BACKGROUND: The UK Government's implementation in 2008 of the Improving Access to Psychological Therapies (IAPT) initiative in England has hugely increased the availability of cognitive behavioural therapy (CBT) for the treatment of depression and anxiety in primary care. Counselling for depression-a form of person-centred experiential therapy (PCET)-has since been included as an IAPT-approved therapy, but there is no evidence of its efficacy from randomised controlled trials (RCTs), as required for recommendations by the National Institute for Health and Care Excellence. Therefore, we aimed to examine whether PCET is cost effective and non-inferior to CBT in the treatment of moderate and severe depression within the IAPT service. METHODS: This pragmatic, randomised, non-inferiority trial was done in the Sheffield IAPT service in England and recruited participants aged 18 years or older with moderate or severe depression on the Clinical Interview Schedule-Revised. We excluded participants presenting with an organic condition, a previous diagnosis of personality disorder, bipolar disorder, or schizophrenia, drug or alcohol dependency, an elevated clinical risk of suicide, or a long-term physical condition. Eligible participants were randomly assigned (1:1), independently of the research team, and stratified by site with permuted block sizes of two, four, or six, to receive either PCET or CBT by use of a remote, web-based system that revealed therapy after patient details were entered. Those assessing outcomes were masked to treatment allocation. Participants were seen by appropriately trained PCET counsellors and CBT therapists in accordance with the IAPT service delivery model. Depression severity and symptomatology measured by the Patient Health Questionnaire-9 (PHQ-9) at 6 months post-randomisation was the primary outcome, with the PHQ-9 score at 12 months post-randomisation being a key secondary outcome. These outcomes were analysed in the modified intention-to-treat population, which comprised all randomly assigned patients with complete data, and the per-protocol population, which comprised all participants who did not switch from their randomised treatment and received between four and 20 sessions. Safety was analysed in all randomly assigned patients. The non-inferiority margin was set a priori at 2 PHQ-9 points. Patient safety was monitored throughout the course of therapy, adhering to service risk procedures for monitoring serious adverse events. This trial is registered at the ISRCTN Registry, ISRCTN06461651, and is complete. FINDINGS: From Nov 11, 2014, to Aug 3, 2018, 9898 patients were referred to step three treatments in the Sheffield IAPT service for common mental health problems, of whom 761 (7·7%) were referred to the trial. Of these, we recruited and randomly assigned 510 participants to receive either PCET (n=254) or CBT (n=256). In the PCET group, 138 (54%) participants were female and 116 (46%) were male, and 225 (89%) were White, 16 (6%) were non-White, and 13 (5%) had missing ethnicity data. In the CBT group, 155 (61%) participants were female and 101 (39%) were male, and 226 (88%) were White, 17 (7%) were non-White, and 13 (5%) had missing ethnicity data. The 6-month modified intention-to-treat analysis comprised 401 (79%) of the enrolled participants (201 in the PCET group; 200 in the CBT group) and the 12-month modified intention-to-treat analysis comprised 319 participants (167 in the PCET group; 152 in the CBT group). The 6-month per-protocol analysis comprised 298 participants (154 in the PCET group; 144 in the CBT group). At 6 months post-randomisation, PCET was non-inferior to CBT in the intention-to-treat population (mean PHQ-9 score 12·74 [SD 6·54] in the PCET group and 13·25 [6·35] in the CBT group; adjusted mean difference -0·35 [95% CI -1·53 to 0·84]) and in the per-protocol population (12·73 [SD 6·57] in the PCET group and 12·71 [6·33] in the CBT group; 0·27 [95% CI -1·08 to 1·62]). At 12 months post-randomisation, there was a significant adjusted between-group difference in mean PHQ-9 score in favour of CBT (1·73 [95% CI 0·26-3·19]), with a 95% CI exceeding the 2-point non-inferiority margin. There were two deaths, one death by suicide in the PCET group and one due to chronic obstructive pulmonary disease in the CBT group. Both were assessed by the responsible clinician to be unrelated to the trial. In terms of using emergency departments for depression-related events, four people (three in the PCET group; one in the CBT group) made more than a single use and six people (three in the PCET group; three in the CBT group) made a single use. One patient in the PCET group had inpatient treatment for a depression-related event. INTERPRETATION: This trial is the first to examine the two most frequently administered psychological therapies in the IAPT service. The finding of non-inferiority of PCET to CBT at 6 months supports the results from large, routine, non-randomised datasets from the IAPT programme. Given the high demand for psychological therapies and the need for patient choice, our findings suggest the need for continued investment in the training and delivery of PCET for improving short-term outcomes, but suggest that PCET might be inferior to CBT at 12 months. FUNDING: British Association for Counselling and Psychotherapy Research Foundation.
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The conditions in which we are born, grow, live, work and age are key drivers of health and inequalities in life chances. To maximise health and wellbeing across the whole population, we need well-coordinated action across government sectors, in areas including economic, education, welfare, labour market and housing policy. Current research struggles to offer effective decision support on the cross-sector strategic alignment of policies, and to generate evidence that gives budget holders the confidence to change the way major investment decisions are made. This open letter introduces a new research initiative in this space. The SIPHER ( Systems Science in Public Health and Health Economics Research) Consortium brings together a multi-disciplinary group of scientists from across six universities, three government partners at local, regional and national level, and ten practice partner organisations. The Consortium's vision is a shift from health policy to healthy public policy, where the wellbeing impacts of policies are a core consideration across government sectors. Researchers and policy makers will jointly tackle fundamental questions about: a) the complex causal relationships between upstream policies and wellbeing, economic and equality outcomes; b) the multi-sectoral appraisal of costs and benefits of alternative investment options; c) public values and preferences for different outcomes, and how necessary trade-offs can be negotiated; and d) creating the conditions for intelligence-led adaptive policy design that maximises progress against economic, social and health goals. Whilst our methods will be adaptable across policy topics and jurisdictions, we will initially focus on four policy areas: Inclusive Economic Growth, Adverse Childhood Experiences, Mental Wellbeing and Housing.
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The conditions in which we are born, grow, live, work and age are key drivers of health and inequalities in life chances. To maximise health and wellbeing across the whole population, we need well-coordinated action across government sectors, in areas including economic, education, welfare, labour market and housing policy. Current research struggles to offer effective decision support on the cross-sector strategic alignment of policies, and to generate evidence that gives budget holders the confidence to change the way major investment decisions are made. This open letter introduces a new research initiative in this space. The SIPHER (Systems Science in Public Health and Health Economics Research) Consortium brings together a multi-disciplinary group of scientists from across six universities, three government partners at local, regional and national level, and ten practice partner organisations. The Consortium's vision is a shift from health policy to healthy public policy, where the wellbeing impacts of policies are a core consideration across government sectors. Researchers and policy makers will jointly tackle fundamental questions about: a) the complex causal relationships between upstream policies and wellbeing, economic and equality outcomes; b) the multi-sectoral appraisal of costs and benefits of alternative investment options; c) public values and preferences for different outcomes, and how necessary trade-offs can be negotiated; and d) creating the conditions for intelligence-led adaptive policy design that maximises progress against economic, social and health goals. Whilst our methods will be adaptable across policy topics and jurisdictions, we will initially focus on four policy areas: Inclusive Economic Growth, Adverse Childhood Experiences, Mental Wellbeing and Housing.
BASE