Behavioral Health and Chronic Pain

2018 ◽  
pp. 341-363
Author(s):  
Tony Iezzi ◽  
Melanie P. Duckworth ◽  
Gwendolyn Carlson ◽  
Dennis C. Turk
Keyword(s):  
Chronic Pain ◽  
Behavioral Health

A telephone-based intervention for chronic pain in older adults enrolled in a behavioral health care management program

2014 ◽  
Vol 22 (3) ◽  
pp. S103-S104
Author(s):  
Josh Haratz ◽  
Jacob Zimmerman ◽  
Shirley Leong ◽  
Amy Helstrom ◽  
Amy Benson ◽  
...  
Keyword(s):  
Older Adults ◽  
Health Care ◽  
Chronic Pain ◽  
Behavioral Health ◽  
Care Management ◽  
Health Care Management ◽  
Behavioral Health Care ◽  
Management Program ◽  
Care Management Program

Behavioral Assessment of the Spine Patient

2018 ◽  
Author(s):  
Brent Van Dorsten
Keyword(s):  
Chronic Pain ◽  
Coping Strategies ◽  
Behavioral Health ◽  
Surgical Intervention ◽  
Behavioral Assessment ◽  
Treatment Success ◽  
Interventional Treatment ◽  
Patient Goals ◽  
Health Assessments ◽  
Tremendous Impact

Behavioral health considerations are key to the evaluation of patients who are suffering from chronic pain or who are under consideration for surgical intervention. Psychosocial factors typically have a tremendous impact on the likelihood of treatment success. Concomitant mood disturbances often exist in the setting of chronic pain and may affect the outcomes of surgical and spinal procedures. Behavioral health assessments may identify factors that should be addressed prior to interventional treatment. Often physicians do not adequately address patients’ expectations. Behavioral health consultations may offer the opportunity to set appropriate patient goals and to assist in the development of coping strategies.

scholarly journals 2135

2017 ◽  
Vol 1 (S1) ◽  
pp. 69-69
Author(s):  
Kathryn E. Kanzler ◽  
Patricia Robinson ◽  
Mariana Munante ◽  
Donald McGeary ◽  
Jennifer Potter ◽  
...  
Keyword(s):  
Primary Care ◽  
Chronic Pain ◽  
Behavioral Health ◽  
Control Group ◽  
Health Provider ◽  
Care Clinic ◽  
Integrated Behavioral Health ◽  
Behavioral Health Provider ◽  
Chronic Pain Patients ◽  
Pain Patients

OBJECTIVES/SPECIFIC AIMS: This study seeks to test the feasibility and effectiveness of a brief acceptance and commitment therapy (ACT) treatment for chronic pain patients in a primary care clinic METHODS/STUDY POPULATION: Primary care patients aged 18 years and older with at least 1 pain condition for 12 weeks or more in duration will be recruited. Patients will be randomized into (a) ACT intervention or (b) control group. Participants in the ACT arm will attend 1 individual visit with an integrated behavioral health provider, followed by 3 weekly ACT classes and a booster class 2 months later. Control group will receive enhanced primary care that includes patient education handouts informed by cognitive behavioral science. Data analysis will include 1-way analysis of covariance (ANCOVA), multiple regression with bootstrapping. RESULTS/ANTICIPATED RESULTS: The overall hypothesis is that brief ACT treatment reduces physical disability, improves functioning, and reduces medication misuse in chronic pain patients when delivered by an integrated behavioral health provider in primary care. In addition, it is anticipated that improvements in patient functioning will be mediated by patient change in pain acceptance and patient engagement in value-consistent behaviors. DISCUSSION/SIGNIFICANCE OF IMPACT: This pilot study will establish preliminary data about the effectiveness of addressing chronic pain in a generalizable integrated primary care setting. Data will help support a larger trial in the future. Findings have potential to transform the way chronic pain is currently managed in primary care settings, with results that could decrease disability and improve functioning among patients suffering from chronic pain.

Millon behavioral health inventory norms for male and female chronic pain patients

Pain ◽  
1987 ◽  
Vol 30 ◽  
pp. S94 ◽  
Author(s):  
E. Labba ◽  
M. Goldberg ◽  
D. Fishbain ◽  
R. Steele-Rosomoff ◽  
H. Rosomoff
Keyword(s):  
Chronic Pain ◽  
Behavioral Health ◽  
Male And Female ◽  
Chronic Pain Patients ◽  
Pain Patients ◽  
Millon Behavioral Health Inventory

scholarly journals Millon Behavioral Health Inventory Scores of Patients With Chronic Pain Associated with Myofascial Pain Syndrome

Pain Medicine ◽  
2001 ◽  
Vol 2 (4) ◽  
pp. 328-335 ◽  
Author(s):  
David A. Fishbain ◽  
Deborah Turner ◽  
Hubert L. Rosomoff ◽  
Renee Steele Rosomoff
Keyword(s):  
Chronic Pain ◽  
Behavioral Health ◽  
Myofascial Pain ◽  
Pain Syndrome ◽  
Myofascial Pain Syndrome ◽  
Millon Behavioral Health Inventory

Comparison of compensation and non-compensation chronic pain patients on the millon behavioral health inventory (MBHI)

Pain ◽  
1987 ◽  
Vol 30 ◽  
pp. S324
Author(s):  
M. Goldberg ◽  
E. Labbe ◽  
D. Fishbain ◽  
R. Steele-Rosomoff ◽  
H. Rosomoff
Keyword(s):  
Chronic Pain ◽  
Behavioral Health ◽  
Chronic Pain Patients ◽  
Pain Patients ◽  
Millon Behavioral Health Inventory

scholarly journals Understanding User Experience: Exploring Participants’ Messages With a Web-Based Behavioral Health Intervention for Adolescents With Chronic Pain (Preprint)

2018 ◽  
Author(s):  
Annie T Chen ◽  
Aarti Swaminathan ◽  
William R Kearns ◽  
Nicole M Alberts ◽  
Emily F Law ◽  
...  
Keyword(s):  
Chronic Pain ◽  
Cluster Analysis ◽  
Behavioral Health ◽  
Topic Modeling ◽  
Health Intervention ◽  
Interaction Patterns ◽  
Analysis Method ◽  
Common Component ◽  
Internet Interventions ◽  
Behavioral Health Intervention

BACKGROUND Delivery of behavioral health interventions on the internet offers many benefits, including accessibility, cost-effectiveness, convenience, and anonymity. In recent years, an increased number of internet interventions have been developed, targeting a range of conditions and behaviors, including depression, pain, anxiety, sleep disturbance, and eating disorders. Human support (coaching) is a common component of internet interventions that is intended to boost engagement; however, little is known about how participants interact with coaches and how this may relate to their experience with the intervention. By examining the data that participants produce during an intervention, we can characterize their interaction patterns and refine treatments to address different needs. OBJECTIVE In this study, we employed text mining and visual analytics techniques to analyze messages exchanged between coaches and participants in an internet-delivered pain management intervention for adolescents with chronic pain and their parents. METHODS We explored the main themes in coaches’ and participants’ messages using an automated textual analysis method, topic modeling. We then clustered participants’ messages to identify subgroups of participants with similar engagement patterns. RESULTS First, we performed topic modeling on coaches’ messages. The themes in coaches’ messages fell into 3 categories: Treatment Content, Administrative and Technical, and Rapport Building. Next, we employed topic modeling to identify topics from participants’ message histories. Similar to the coaches’ topics, these were subsumed under 3 high-level categories: Health Management and Treatment Content, Questions and Concerns, and Activities and Interests. Finally, the cluster analysis identified 4 clusters, each with a distinguishing characteristic: Assignment-Focused, Short Message Histories, Pain-Focused, and Activity-Focused. The name of each cluster exemplifies the main engagement patterns of that cluster. CONCLUSIONS In this secondary data analysis, we demonstrated how automated text analysis techniques could be used to identify messages of interest, such as questions and concerns from users. In addition, we demonstrated how cluster analysis could be used to identify subgroups of individuals who share communication and engagement patterns, and in turn facilitate personalization of interventions for different subgroups of patients. This work makes 2 key methodological contributions. First, this study is innovative in its use of topic modeling to provide a rich characterization of the textual content produced by coaches and participants in an internet-delivered behavioral health intervention. Second, to our knowledge, this is the first example of the use of a visual analysis method to cluster participants and identify similar patterns of behavior based on intervention message content.

Reducing Utilization: An ED-Based Behavioral Health Chronic Pain Intervention

2007 ◽  
Author(s):  
Jonathan C. Woodhouse ◽  
Mary Peterson ◽  
Clark D. Campbell ◽  
Kathleen Gathercoal
Keyword(s):  
Chronic Pain ◽  
Behavioral Health ◽  
Pain Intervention
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