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Population-based service planning for implementation of MBCT: linking epidemiologic data to practice.

Scott B Patten, Graham Meadows

Psychiatric Services November 2009 DOI: 10.1176/ps.2009.60.11.1540 (opens in new tab)

Study at a glance

AI-extracted from the abstract
Characteristics Simulation modeling study Peer reviewed
Population Canadian population represented in the Canadian Community Health Survey, specifically individuals with three or more major depressive episodes
Topics Meditation
Key points Approximately 4.2% of the population are candidates for MBCT, with about 13 new candidates annually per 10,000 people. Under 20% acceptability, a population of 200,000 could support two therapists. The authors suggest that the rate of emergence of candidates may yield a patient pool too small to sustain implementation in small population centers, and that treatment acceptability is a key variable.

Abstract

The study explored population-based service planning for mindfulness-based cognitive therapy (MBCT). Evidence suggests the usefulness of MBCT in relapse prevention for individuals reporting three or more major depressive episodes. Depression data were from the Canadian Community Health Survey. A simulation model estimated recurrence rates and population sizes to sustain MBCT therapists (each conducting two ten-person groups per year). Approximately 4.2% of the population are candidates for MBCT, and about 13 candidates would arise annually per 10,000 population. If MBCT was acceptable to 20%, for example, a population of 200,000 could support two therapists. A large proportion of the population is eligible for MBCT introduction; however, after introduction, the rate of emergence of candidates would yield a smaller patient pool, which may limit implementation in small population centers. Treatment acceptability is a key variable. These analyses highlight the potential value of epidemiologic data and simulation modeling in planning.

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