Jeff C Huffman1, Caitlin N Adams2, Christopher M Celano3. 1. Department of Psychiatry, Harvard Medical School, Boston, MA; Department of Psychiatry, Massachusetts General Hospital, Boston, MA. Electronic address: jhuffman@partners.org. 2. Department of Psychiatry, Harvard Medical School, Boston, MA; Department of Psychiatry, Massachusetts General Hospital, Boston, MA. 3. Department of Psychiatry, Harvard Medical School, Boston, MA.
Abstract
BACKGROUND: Psychiatric disorders, such as depression, are very common in cardiac patients and are independently linked to adverse cardiac outcomes, including mortality. Collaborative care and other integrated care models have been used successfully to manage psychiatric conditions in patients with heart disease, with beneficial effects on function and other outcomes. Novel programs using remote delivery of mental health interventions and promotion of psychological well-being may play an increasingly large role in supporting cardiovascular health. METHODS: We review prior studies of standard and expanded integrated care programs among patients with cardiac disease, examine contemporary intervention delivery methods (e.g., Internet or mobile phone) that could be adapted for these programs, and outline mental health-related interventions to promote healthy behaviors and overall recovery across all cardiac patients. RESULTS: Standard integrated care models for mental health disorders are effective at improving mood, anxiety, and function in patients with heart disease. Novel, "blended" collaborative care models may have even greater promise in improving cardiac outcomes, and interfacing with cardiac patients via mobile applications, text messages, and video visits may provide additional benefit. A variety of newer interventions using stress management, mindfulness, or positive psychology have shown promising effects on mental health, health behaviors, and overall cardiac outcomes. CONCLUSIONS: Further study of novel applications of collaborative care and related interventions is warranted given the potential of these programs to increase the reach and effect of mental health interventions in patients with heart disease.
BACKGROUND:Psychiatric disorders, such as depression, are very common in cardiac patients and are independently linked to adverse cardiac outcomes, including mortality. Collaborative care and other integrated care models have been used successfully to manage psychiatric conditions in patients with heart disease, with beneficial effects on function and other outcomes. Novel programs using remote delivery of mental health interventions and promotion of psychological well-being may play an increasingly large role in supporting cardiovascular health. METHODS: We review prior studies of standard and expanded integrated care programs among patients with cardiac disease, examine contemporary intervention delivery methods (e.g., Internet or mobile phone) that could be adapted for these programs, and outline mental health-related interventions to promote healthy behaviors and overall recovery across all cardiac patients. RESULTS: Standard integrated care models for mental health disorders are effective at improving mood, anxiety, and function in patients with heart disease. Novel, "blended" collaborative care models may have even greater promise in improving cardiac outcomes, and interfacing with cardiac patients via mobile applications, text messages, and video visits may provide additional benefit. A variety of newer interventions using stress management, mindfulness, or positive psychology have shown promising effects on mental health, health behaviors, and overall cardiac outcomes. CONCLUSIONS: Further study of novel applications of collaborative care and related interventions is warranted given the potential of these programs to increase the reach and effect of mental health interventions in patients with heart disease.
Authors: François Lespérance; Nancy Frasure-Smith; Diana Koszycki; Marc-André Laliberté; Louis T van Zyl; Brian Baker; John Robert Swenson; Kayhan Ghatavi; Beth L Abramson; Paul Dorian; Marie-Claude Guertin Journal: JAMA Date: 2007-01-24 Impact factor: 56.272
Authors: Wayne J Katon; Michael Von Korff; Elizabeth H B Lin; Greg Simon; Evette Ludman; Joan Russo; Paul Ciechanowski; Edward Walker; Terry Bush Journal: Arch Gen Psychiatry Date: 2004-10
Authors: Thomas Rutledge; Steven E Reis; Marian Olson; Jane Owens; Sheryl F Kelsey; Carl J Pepine; Sunil Mankad; William J Rogers; George Sopko; Carol E Cornell; Barry Sharaf; C Noel Bairey Merz Journal: Psychosom Med Date: 2006 Mar-Apr Impact factor: 4.312
Authors: Jeff C Huffman; Christopher M Celano; Scott R Beach; Shweta R Motiwala; James L Januzzi Journal: Cardiovasc Psychiatry Neurol Date: 2013-04-07
Authors: Simon Gilbody; Elizabeth Littlewood; Catherine Hewitt; Gwen Brierley; Puvan Tharmanathan; Ricardo Araya; Michael Barkham; Peter Bower; Cindy Cooper; Linda Gask; David Kessler; Helen Lester; Karina Lovell; Glenys Parry; David A Richards; Phil Andersen; Sally Brabyn; Sarah Knowles; Charles Shepherd; Debbie Tallon; David White Journal: BMJ Date: 2015-11-11
Authors: Courtney Benjamin Wolk; Chyke A Doubeni; Heather A Klusaritz; Andrea Bilger; Emily Paterson; David W Oslin Journal: Psychiatr Serv Date: 2019-06-12 Impact factor: 3.084
Authors: Bea Herbeck Belnap; Amy Anderson; Kaleab Z Abebe; Ravi Ramani; Matthew F Muldoon; Jordan F Karp; Bruce L Rollman Journal: Psychosom Med Date: 2019 Jul/Aug Impact factor: 4.312
Authors: Juliana Zambrano; Christopher M Celano; James L Januzzi; Christina N Massey; Wei-Jean Chung; Rachel A Millstein; Jeff C Huffman Journal: J Am Heart Assoc Date: 2020-11-07 Impact factor: 5.501
Authors: Heidi M Munger Clary; Rachel D Croxton; Beverly M Snively; Gretchen A Brenes; James Lovato; Fatemeh Sadeghifar; James Kimball; Cormac O'Donovan; Kelly Conner; Esther Kim; Jonathan Allan; Pamela Duncan Journal: Epilepsy Behav Date: 2020-11-24 Impact factor: 2.937
Authors: Alexandru Burlacu; Adrian Covic; Mircea Cinteza; Paula Madalina Lupu; Radu Deac; Grigore Tinica Journal: Cardiovasc Ther Date: 2020-01-04 Impact factor: 3.023