Scott B Patten1, Graham M Meadows. 1. Department of Community Health Sciences, University of Calgary, Calgary, Canada. patten@ucalgary.ca
Abstract
OBJECTIVE: 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. METHODS: 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). RESULTS: 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. CONCLUSIONS: 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.
OBJECTIVE: 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. METHODS: 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). RESULTS: 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. CONCLUSIONS: 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.
Authors: Eric B Loucks; Rebecca S Crane; Menka A Sanghvi; Jesús Montero-Marin; Jeffrey Proulx; Judson A Brewer; Willem Kuyken Journal: Glob Adv Health Med Date: 2022-01-27
Authors: Jo Rycroft-Malone; Rob Anderson; Rebecca S Crane; Andy Gibson; Felix Gradinger; Heledd Owen Griffiths; Stewart Mercer; Willem Kuyken Journal: Implement Sci Date: 2014-05-24 Impact factor: 7.327