Paula Gardiner1, Anna Sophia Lestoquoy2, Katherine Gergen-Barnett2, Brian Penti2, Laura F White3, Robert Saper2, Lisa Fredman4, Sarah Stillman2, N Lily Negash2, Pamela Adelstein5, Ivy Brackup6, Christine Farrell-Riley5, Karim Kabbara2, Lance Laird7, Suzanne Mitchell2, Timothy Bickmore8, Ameneh Shamekhi8, Jane M Liebschutz9. 1. Department of Family Medicine, Boston University School of Medicine, Boston Medical Center, Boston, MA, United States. Electronic address: paula.gardiner@bmc.org. 2. Department of Family Medicine, Boston University School of Medicine, Boston Medical Center, Boston, MA, United States. 3. Department of Biostatistics, Boston University School of Public Health, Boston, MA, United States. 4. Department of Epidemiology, Boston University School of Public Health, Boston, MA, United States. 5. Codman Square Health Center, Dorchester, MA, United States. 6. DotHouse Health Center, Dorchester, MA, United States. 7. Division of Graduate Medical Sciences, Boston University School of Medicine, Boston, MA, United States. 8. College of Computer & Information Science, Northeastern University, Boston, MA, United States. 9. Clinical Addictions Research and Education Unit, Section of General Internal Medicine, Boston Medical Center, Boston University School of Medicine and Public Health, Boston, MA, United States.
Abstract
BACKGROUND: Given the public health crisis of opioid overprescribing for pain, there is a need for evidence-based non pharmacological treatment options that effectively reduce pain and depression. We aim to examine the effectiveness of the Integrative Medical Group Visits (IMGV) model in reducing chronic pain and depressive symptoms, as well as increasing pain self-management. METHODS: This paper details the study design and implementation of an ongoing randomized controlled trial of the IMGV model as compared to primary care visits. The research aims to determine if the IMGV model is effective in achieving: a) a reduction in self-reported pain and depressive symptoms and 2) an improvement in the self-management of pain, through increasing pain self-efficacy and reducing use of self-reported pain medication. We intend to recruit 154 participants to be randomized in our intervention, the IMGV model (n=77) and to usual care (n=77). CONCLUSIONS: Usual care of chronic pain through pharmacological treatment has mixed evidence of efficacy and may not improve quality of life or functional status. We aim to conduct a randomized controlled trial to evaluate the effectiveness of the IMGV model as compared to usual care in reducing self-reported pain and depressive symptoms as well as increasing pain management skills.
RCT Entities:
BACKGROUND: Given the public health crisis of opioid overprescribing for pain, there is a need for evidence-based non pharmacological treatment options that effectively reduce pain and depression. We aim to examine the effectiveness of the Integrative Medical Group Visits (IMGV) model in reducing chronic pain and depressive symptoms, as well as increasing pain self-management. METHODS: This paper details the study design and implementation of an ongoing randomized controlled trial of the IMGV model as compared to primary care visits. The research aims to determine if the IMGV model is effective in achieving: a) a reduction in self-reported pain and depressive symptoms and 2) an improvement in the self-management of pain, through increasing pain self-efficacy and reducing use of self-reported pain medication. We intend to recruit 154 participants to be randomized in our intervention, the IMGV model (n=77) and to usual care (n=77). CONCLUSIONS: Usual care of chronic pain through pharmacological treatment has mixed evidence of efficacy and may not improve quality of life or functional status. We aim to conduct a randomized controlled trial to evaluate the effectiveness of the IMGV model as compared to usual care in reducing self-reported pain and depressive symptoms as well as increasing pain management skills.
Authors: Diana Rinker; Paula Gardiner; Lisa McGonigal; Ariel Villa; Lara C Kovell; Pallavi Rohela; Andrew Cauley; Barbara Olendzki Journal: JMIR Form Res Date: 2022-05-16
Authors: Paula Gardiner; Man Luo; Salvatore D'Amico; Katherine Gergen-Barnett; Laura F White; Robert Saper; Suzanne Mitchell; Jane M Liebschutz Journal: PLoS One Date: 2019-12-18 Impact factor: 3.240