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Development and Validation of a Practical Tool for Assessing Acute Pain in the Pediatric Population With Down
Roberto Latina1, Rosaria Gambino2, Domenica Matranga1
1Department of Health Promotion, Mother and Child Care, Internal Medicine and Medical Specialties (PROMISE), Università degli Studi di Palermo, Palermo, ITA.
Insights
A new tool, ANDREAS, accurately assesses acute pain in children with Down syndrome (DS) by combining behavioral observations and self-reports. This addresses challenges in pain recognition for this population.
Area of Science:
- Pediatrics
- Genetics
- Pain Management
Background:
- Down syndrome (DS) is a common chromosomal anomaly impacting newborns globally.
- Pediatric patients with DS experience complex, often underrecognized pain due to atypical responses.
- Conventional pain assessment tools are insufficient for children with DS, necessitating tailored approaches.
Purpose of the Study:
- To develop and validate the ANDREAS tool, a novel mixed-methods instrument for assessing acute pain in children with DS.
- To integrate behavioral observations with self-report measures for more accurate pain assessment.
- To address the critical need for multidimensional pain assessment tools for this vulnerable population.
Main Methods:
- A mixed-methods approach adapted a pain scale using behavioral observations and self-reports.
- Pain behaviors identified via literature review and focus groups (researchers, parents, healthcare professionals).
- Validation included exploratory factor analysis and internal consistency testing (Cronbach's alpha) on data from a standardized venipuncture protocol.
Main Results:
- The ANDREAS tool is expected to capture the presence and severity of acute pain in pediatric patients with DS.
- Key behavioral indicators, like freezing, were operationalized and rated on a 0-4 scale.
- Integration of behavioral and self-report data is anticipated to improve pain detection sensitivity and specificity.
Conclusions:
- The ANDREAS instrument offers a reliable, valid, and clinically meaningful method for acute pain assessment in children with DS.
- This novel, multidimensional approach combining behavioral and self-report data may enhance pain evaluation accuracy.
- Further validation and exploration in diverse clinical settings are planned to support effective pain management strategies.
Abstract:
Background Down syndrome (DS) is one of the most common chromosomal anomalies, affecting a substantial number of newborns globally. Pediatric patients with DS face a range of health challenges, including complex and often underrecognized pain experiences. These children may exhibit atypical responses to pain, such as reduced verbal expression, behavioral changes (e.g., freezing), or lower pain thresholds, that can render conventional pain assessment strategies insufficient. Consequently, there is a critical need for multidimensional tools specifically tailored to the characteristics of this vulnerable population. This study aims to develop and validate a novel mixed-methods instrument - the ANDREAS tool - designed to accurately assess acute pain in children with DS by integrating behavioral observations with self-report measures, where feasible. Methods A mixed-methods approach will be employed to adapt a pain assessment scale suitable for children with DS, combining behavioral observations with self-reported measures when possible. Pain-related behaviors will be identified through an extensive literature review and focus group discussions involving researchers, parents, and healthcare professionals. Additional methodological components will include defined randomization procedures for participant selection, clear inclusion and exclusion criteria, a standardized venipuncture protocol to induce pain, and a tailored training program for assessors to ensure methodological rigor. The resulting instrument, ANDREAS, will undergo validation using exploratory factor analysis and internal consistency testing (Cronbach's alpha). Results The study is expected to yield a validated tool capable of capturing both the presence and severity of acute pain in pediatric patients with DS. Key behavioral indicators, such as freezing, defined as the absence of movement for at least five seconds during a painful stimulus, will be operationalized and assessed using a structured 0-4 rating scale. The integration of behavioral and self-report data is anticipated to enhance the sensitivity and specificity of pain detection in this population. Conclusions The ANDREAS instrument is expected to provide a reliable, valid, and clinically meaningful method for assessing acute pain in children with DS. By combining behavioral observations with self-report, it introduces a novel, multidimensional approach that may improve the accuracy of pain evaluation and inform more effective clinical management strategies. Future research will focus on further validating the instrument's psychometric properties and exploring its use across diverse clinical settings.
