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Utilization of the Behavior Change Wheel framework to develop a model to improve cardiometabolic screening for people with severe mental illness

BACKGROUND: Individuals with severe mental illness (e.g., schizophrenia, bipolar disorder) die 10–25 years earlier than the general population, primarily from premature cardiovascular disease (CVD). Contributing factors are complex, but include systemic-related factors of poorly integrated primary c...

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Autores principales: Mangurian, Christina, Niu, Grace C., Schillinger, Dean, Newcomer, John W., Dilley, James, Handley, Margaret A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5686815/
https://www.ncbi.nlm.nih.gov/pubmed/29137666
http://dx.doi.org/10.1186/s13012-017-0663-z
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author Mangurian, Christina
Niu, Grace C.
Schillinger, Dean
Newcomer, John W.
Dilley, James
Handley, Margaret A.
author_facet Mangurian, Christina
Niu, Grace C.
Schillinger, Dean
Newcomer, John W.
Dilley, James
Handley, Margaret A.
author_sort Mangurian, Christina
collection PubMed
description BACKGROUND: Individuals with severe mental illness (e.g., schizophrenia, bipolar disorder) die 10–25 years earlier than the general population, primarily from premature cardiovascular disease (CVD). Contributing factors are complex, but include systemic-related factors of poorly integrated primary care and mental health services. Although evidence-based models exist for integrating mental health care into primary care settings, the evidence base for integrating medical care into specialty mental health settings is limited. Such models are referred to as “reverse” integration. In this paper, we describe the application of an implementation science framework in designing a model to improve CVD outcomes for individuals with severe mental illness (SMI) who receive services in a community mental health setting. METHODS: Using principles from the theory of planned behavior, focus groups were conducted to understand stakeholder perspectives of barriers to CVD risk factor screening and treatment identify potential target behaviors. We then applied results to the overarching Behavior Change Wheel framework, a systematic and theory-driven approach that incorporates the COM-B model (capability, opportunity, motivation, and behavior), to build an intervention to improve CVD risk factor screening and treatment for people with SMI. RESULTS: Following a stepped approach from the Behavior Change Wheel framework, a model to deliver primary preventive care for people that use community mental health settings as their de facto health home was developed. The CRANIUM (cardiometabolic risk assessment and treatment through a novel integration model for underserved populations with mental illness) model focuses on engaging community psychiatrists to expand their scope of practice to become responsible for CVD risk, with significant clinical decision support. CONCLUSION: The CRANIUM model was designed by integrating behavioral change theory and implementation theory. CRANIUM is feasible to implement, is highly acceptable to, and targets provider behavior change, and is replicable and efficient for helping to integrate primary preventive care services in community mental health settings. CRANIUM can be scaled up to increase CVD preventive care delivery and ultimately improve health outcomes among people with SMI served within a public mental health care system.
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spelling pubmed-56868152017-11-21 Utilization of the Behavior Change Wheel framework to develop a model to improve cardiometabolic screening for people with severe mental illness Mangurian, Christina Niu, Grace C. Schillinger, Dean Newcomer, John W. Dilley, James Handley, Margaret A. Implement Sci Methodology BACKGROUND: Individuals with severe mental illness (e.g., schizophrenia, bipolar disorder) die 10–25 years earlier than the general population, primarily from premature cardiovascular disease (CVD). Contributing factors are complex, but include systemic-related factors of poorly integrated primary care and mental health services. Although evidence-based models exist for integrating mental health care into primary care settings, the evidence base for integrating medical care into specialty mental health settings is limited. Such models are referred to as “reverse” integration. In this paper, we describe the application of an implementation science framework in designing a model to improve CVD outcomes for individuals with severe mental illness (SMI) who receive services in a community mental health setting. METHODS: Using principles from the theory of planned behavior, focus groups were conducted to understand stakeholder perspectives of barriers to CVD risk factor screening and treatment identify potential target behaviors. We then applied results to the overarching Behavior Change Wheel framework, a systematic and theory-driven approach that incorporates the COM-B model (capability, opportunity, motivation, and behavior), to build an intervention to improve CVD risk factor screening and treatment for people with SMI. RESULTS: Following a stepped approach from the Behavior Change Wheel framework, a model to deliver primary preventive care for people that use community mental health settings as their de facto health home was developed. The CRANIUM (cardiometabolic risk assessment and treatment through a novel integration model for underserved populations with mental illness) model focuses on engaging community psychiatrists to expand their scope of practice to become responsible for CVD risk, with significant clinical decision support. CONCLUSION: The CRANIUM model was designed by integrating behavioral change theory and implementation theory. CRANIUM is feasible to implement, is highly acceptable to, and targets provider behavior change, and is replicable and efficient for helping to integrate primary preventive care services in community mental health settings. CRANIUM can be scaled up to increase CVD preventive care delivery and ultimately improve health outcomes among people with SMI served within a public mental health care system. BioMed Central 2017-11-14 /pmc/articles/PMC5686815/ /pubmed/29137666 http://dx.doi.org/10.1186/s13012-017-0663-z Text en © The Author(s). 2017 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Methodology
Mangurian, Christina
Niu, Grace C.
Schillinger, Dean
Newcomer, John W.
Dilley, James
Handley, Margaret A.
Utilization of the Behavior Change Wheel framework to develop a model to improve cardiometabolic screening for people with severe mental illness
title Utilization of the Behavior Change Wheel framework to develop a model to improve cardiometabolic screening for people with severe mental illness
title_full Utilization of the Behavior Change Wheel framework to develop a model to improve cardiometabolic screening for people with severe mental illness
title_fullStr Utilization of the Behavior Change Wheel framework to develop a model to improve cardiometabolic screening for people with severe mental illness
title_full_unstemmed Utilization of the Behavior Change Wheel framework to develop a model to improve cardiometabolic screening for people with severe mental illness
title_short Utilization of the Behavior Change Wheel framework to develop a model to improve cardiometabolic screening for people with severe mental illness
title_sort utilization of the behavior change wheel framework to develop a model to improve cardiometabolic screening for people with severe mental illness
topic Methodology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5686815/
https://www.ncbi.nlm.nih.gov/pubmed/29137666
http://dx.doi.org/10.1186/s13012-017-0663-z
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