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Screening for Behavioral Risks: A Precision Healthcare Driven Approach for Chronic Pain Evaluation in Pediatric
Vibha Anand1, Andrew S Zeft2, Steven J Spalding3
1IBM T.J. Watson Research Center, Cambridge, MA, USA.
Insights
An informatics tool (PROBE) automated screening for pediatric pain risks. Poorer self-efficacy, coping, and sleep issues significantly increased chronic pain odds in children.
Area of Science:
- Pediatric Rheumatology
- Clinical Informatics
- Pain Management
Background:
- Automated screening tools can improve identification of risk factors for chronic pain in pediatric populations.
- Previous work introduced PROBE (Program for Risk Observation and Behavioral Evaluation) for behavioral risk screening.
- Pediatric specialty care settings present unique challenges for comprehensive patient assessment.
Purpose of the Study:
- To evaluate the effectiveness of the PROBE informatics tool in a pediatric rheumatology outpatient practice.
- To assess patient self-report of pain, chronic disease activity, and associated behavioral risks.
- To identify specific behavioral factors correlating with chronic pain reporting in pediatric patients.
Main Methods:
- The PROBE tool was deployed for a one-year pilot study in a busy pediatric rheumatology clinic.
- 109 patients seeking routine care were assessed for pain, disease activity, and behavioral risks.
- Statistical analysis was performed to determine the odds of reporting chronic pain based on self-reported factors.
Main Results:
- Patients reporting poorer self-efficacy had 8 times higher odds of reporting chronic pain.
- Patients reporting poorer coping skills had 5 times higher odds of reporting chronic pain.
- Night-time awakenings were also significantly associated with increased odds of reporting chronic pain.
Conclusions:
- Automated screening via tools like PROBE can identify previously unknown patient risks in specialty care waiting rooms.
- Identifying behavioral risks such as low self-efficacy and poor coping is crucial for managing pediatric chronic pain.
- This approach can guide precision healthcare resource allocation, including interventions like cognitive behavioral therapy.
Abstract:
We previously described an informatics tool (PROBE) to automate screening for behavioral risks for pain in children and adolescents. PROBE was deployed for a one year pilot study in our pediatric specialty care practice. Here we describe evaluation of this tool to assess self-report of pain, chronic disease activity and behavioral risks in 109 patients who sought routine care in the busy outpatient pediatric rheumatology practice of our large healthcare system. Results show that patients who self-report poorer self-efficacy and coping skills and night-time awakenings have significantly higher odds (8 and 5 times higher respectively) of reporting chronic pain even after accounting for their chronic disease activity. Our results show that automating screening in specialty care waiting rooms can not only inform the clinicians of patient's unknown risks but may even help drive the judicious use of precision healthcare resources such as cognitive behavioral therapy.
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