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Cost-Effectiveness Of Collaborative Care For Depression In Uk Primary Care: Economic Evaluation Of A Randomised Controlled Trial (Cadet)

PLOS ONE(2014)

Cited 36|Views5
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Abstract
Background: Collaborative care is an effective treatment for the management of depression but evidence on its cost-effectiveness in the UK is lacking.Aims: To assess the cost-effectiveness of collaborative care in a UK primary care setting.Methods: An economic evaluation alongside a multi-centre cluster randomised controlled trial comparing collaborative care with usual primary care for adults with depression (n = 581). Costs, quality-adjusted life-years (QALYs), and incremental cost-effectiveness ratios (ICER) were calculated over a 12-month follow-up, from the perspective of the UK National Health Service and Personal Social Services (i.e. Third Party Payer). Sensitivity analyses are reported, and uncertainty is presented using the cost-effectiveness acceptability curve (CEAC) and the cost-effectiveness plane.Results: The collaborative care intervention had a mean cost of 272.50 pound per participant. Health and social care service use, excluding collaborative care, indicated a similar profile of resource use between collaborative care and usual care participants. Collaborative care offered a mean incremental gain of 0.02 (95% CI: -0.02, 0.06) quality-adjusted life-years over 12 months, at a mean incremental cost of 270.72 pound (95% CI: -202.98, 886.04), and resulted in an estimated mean cost per QALY of 14,248 pound. Where costs associated with informal care are considered in sensitivity analyses collaborative care is expected to be less costly and more effective, thereby dominating treatment as usual.Conclusion: Collaborative care offers health gains at a relatively low cost, and is cost-effective compared with usual care against a decision-maker willingness to pay threshold of 20,000 per QALY gained. Results here support the commissioning of collaborative care in a UK primary care setting.
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Key words
quality adjusted life years,economics,depression,primary health care,quality of life,cost benefit analysis
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