Related Experiment Video
Updated: Jun 19, 2026
06:55
Inverse Probability of Treatment Weighting (Propensity Score) using the Military Health System Data Repository and National Death Index
Published on: January 8, 2020
Population-based service planning for implementation of MBCT: linking epidemiologic data to practice
Scott B Patten1, Graham M Meadows
1Department of Community Health Sciences, University of Calgary, Calgary, Canada. patten@ucalgary.ca
Psychiatric Services (Washington, D.C.)
|November 3, 2009
Summary
Mindfulness-Based Cognitive Therapy (MBCT) is effective for preventing depression relapse. Planning for MBCT services requires considering population eligibility and treatment acceptance rates for successful implementation.
Area of Science:
- Mental Health Services Research
- Epidemiology
- Health Services Planning
Background:
- Mindfulness-Based Cognitive Therapy (MBCT) shows promise for preventing relapse in individuals with recurrent major depressive disorder.
- Effective service planning is crucial for integrating evidence-based therapies into public health systems.
Purpose of the Study:
- To explore population-based service planning for MBCT.
- To estimate the number of individuals eligible for MBCT and the resources required for its implementation.
Main Methods:
- Utilized Canadian Community Health Survey data on depression.
- Employed a simulation model to estimate MBCT candidate recurrence rates and required therapist populations.
- Calculated population sizes needed to support MBCT therapists based on group capacity.
Main Results:
- Approximately 4.2% of the population are potential candidates for MBCT.
- An estimated 13 new candidates per 10,000 individuals would emerge annually.
- A population of 200,000 could support two MBCT therapists if 20% accept the treatment.
Conclusions:
- A significant portion of the population is eligible for MBCT.
- Implementation may be challenging in smaller centers due to a smaller emergent patient pool.
- Treatment acceptability is a critical factor influencing MBCT service viability; epidemiologic data and simulation are valuable for planning.
Related Concept Videos
01:12Statistical Software for Data Analysis and Clinical Trials
Statistical software is pivotal in data analysis and clinical trials by providing tools to analyze data, draw conclusions, and make predictions. These software packages range from simple data management applications to complex analytical platforms, supporting various statistical tests, models, and simulation techniques. Their significance lies in their ability to handle vast amounts of data with precision and efficiency, enabling researchers to validate hypotheses, identify trends, and make...
01:26Introduction to Epidemiology
Epidemiology, known as the cornerstone of public health, involves studying the distribution and determinants of health-related events in defined populations and applying these insights to control health issues. This is essential for understanding how diseases spread, identifying populations at greater risk, and implementing measures to control or prevent outbreaks. Epidemiology addresses not only infectious diseases but also non-communicable conditions like cancer and cardiovascular disease,...
01:30Community Based Intervention
Community-based interventions in mental health represent a paradigm shift from institution-centered care to treatments embedded within the fabric of local communities. By prioritizing inclusion and leveraging existing societal structures, this approach fosters a supportive environment conducive to addressing mental health challenges while promoting individual dignity and agency.
Foundations of Community Mental Health Programs
Central to the success of community-based interventions is the...
Foundations of Community Mental Health Programs
Central to the success of community-based interventions is the...
01:15Methods of Documentation VI: Case Management Model
The case management model is a multidisciplinary approach that involves healthcare professionals from diverse disciplines, such as physicians, nurses, therapists, social workers, and pharmacists, working collaboratively to address the various needs of patients. Each healthcare professional brings unique expertise and perspectives, contributing to a more comprehensive understanding of the patient's condition and tailoring treatment plans accordingly.
For example, a patient with a chronic illness...
For example, a patient with a chronic illness...
01:23Investigation of Disease Outbreaks
Multistate foodborne outbreaks pose significant public health risks and require meticulous investigation to identify sources and implement control measures. The Centers for Disease Control and Prevention (CDC) utilizes a dynamic seven-step process for these investigations, integrating data from laboratories, interviews, and environmental assessments to protect public health.Outbreak Detection: The detection of multistate outbreaks typically begins with PulseNet, the CDC's national laboratory...
01:25Statistical Methods for Analyzing Epidemiological Data
Epidemiological data primarily involves information on specific populations' occurrence, distribution, and determinants of health and diseases. This data is crucial for understanding disease patterns and impacts, aiding public health decision-making and disease prevention strategies. The analysis of epidemiological data employs various statistical methods to interpret health-related data effectively. Here are some commonly used methods: