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Delivering stepped care: an analysis of implementation in routine practice

DOI: 10.1186/1748-5908-7-3

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Abstract:

We recorded service design features of four National Health Service sites implementing stepped care (e.g., the types of treatments available and their links with other treatments), together with the actual treatments received by individual patients and their transitions between different treatment steps. We computed the proportions of patients accessing, receiving, and transiting between the various steps and mapped these proportions visually to illustrate patient movement.We collected throughput data on 7,698 patients referred. Patient pathways were highly complex and very variable within and between sites. The ratio of low (e.g., self-help) to high-intensity (e.g., cognitive behaviour therapy) treatments delivered varied between sites from 22:1, through 2.1:1, 1.4:1 to 0.5:1. The numbers of patients allocated directly to high-intensity treatment varied from 3% to 45%. Rates of stepping up from low-intensity treatment to high-intensity treatment were less than 10%.When services attempt to implement the recommendation for stepped care in the National Institute for Health and Clinical Excellence guidelines, there were significant differences in implementation and consequent high levels of variation in patient pathways. Evaluations driven by the principles of implementation science (such as targeted planning, defined implementation strategies, and clear activity specification around service organisation) are required to improve evidence on the most effective, efficient, and acceptable stepped care systems.Evidence-based medicine (EBM) is the 'conscientious, explicit, and judicious use of current best evidence in making decisions about the care of individual patients' [1]. Production of clinical guidelines is a conventional method of operationalising EBM and ensuring that clinical and cost-effective 'health technologies' are used in routine service settings. However determining the clinical and cost-effectiveness of health technologies does not provide a blueprint for

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