Topical Review: State of the Field of Child Self-Report of Acute Pain

Transforming acute pain management in children: A concept analysis to develop a new model of nurse, child and parent partnership

OBJECTIVES

To identify the core components of acute pain management in children, re-conceptualise the process and update the existing model to inform nursing research and clinical practice.

BACKGROUND

Acute pain in hospitalised children remains suboptimal, despite extensive nursing research and education. Improvements require a patient-centred approach and a conceptual model which includes the role of parents and partnership.

DESIGN

Using Rodgers' Evolutionary method, a concept analysis was conducted to define the core components for effective acute pain management in children.

METHODS

A scoping review of peer-reviewed literature from 1990 through 2020 was conducted using the terms "pain management," "pain control," "pain treatment," "multi modal," and "concept*". Abstracts from 85 articles were initially reviewed with 30 articles retained for analysis. Core concepts were identified, defined and synthesised. The PRISMA 2020 checklist was used.

RESULTS

A new model was developed from a synthesis of past work which incorporates the role of parents, the complexity of the process and definitions for shared decision-making. Trust, safety, collaborative communication and genuine partnership were identified as the core components for effective pain management in children, with the triadic relationship of nurses, patients and parents in genuine partnership foundational to the nursing process.

CONCLUSION

The new model for acute pain management in children transforms the nurse's role from gatekeeper to facilitator, shifting the process from nurse driven to patient-centred. The new collaborative model will promote shared decision-making for individualised pain assessments, interventions and evaluations.

RELEVANCE TO CLINICAL PRACTICE

Establishing the nurse, child, parent partnership as an essential foundation to pain management has the potential to expand pain assessments, optimise treatment selections, advancing clinical practice, patient outcomes and nursing science. No Patient or Public Contributions were included in this paper as this was a concept analysis pulling from past works.

Exploring Parental Responses to Pre-schoolers' "Everyday" Pain Experiences Through Electronic Diary and Ecological Momentary Assessment Methodologies

Objective: Parental influence during children's "everyday" pain events is under-explored, compared to clinical or experimental pains. We trialed two digital reporting methods for parents to record the real-world context surrounding their child's everyday pain events within the family home. Methods: Parents (N = 21) completed a structured e-diary for 14 days, reporting on one pain event experienced by their child (aged 2.5-6 years) each day, and describing child pain responses, parental supervision, parental estimates of pain severity and intensity, and parental catastrophizing, distress, and behavioral responses. During the same 2-week period, a subsample of parent-child pairs (N = 9) completed digital ecological momentary assessments (EMA), immediately after any chosen pain event. Children reported their current pain while parents estimated the child's pain and indicated their own distress. Results: "Everyday" pain events frequently featured minor injuries to the child's head, hands or knees, and child responses included crying and non-verbal comments (e.g., "Ouch!"). Pain events occurred less frequently when parents had been supervising their child, and supervising parents reported lower levels of worry and anxiety than non-supervising parents. Child sex was significantly associated with parental estimates of pain intensity, with parents of girls giving higher estimates than parents of boys. Child age was significantly associated with both the number of pain events and with parental estimates of pain intensity and child distress: the youngest children (2-3 years) experienced the fewest pain events but received higher pain and distress estimates from parents than older children. Hierarchal Linear Modeling revealed that parental estimates of pain severity were significant positive predictors of parental distress and catastrophizing in response to a specific pain event. Furthermore, higher levels of parental catastrophic thinking in response to a specific pain event resulted in increased distress, solicitousness, and coping-promoting behaviors in parents. The EMA data revealed that children reported significantly higher pain intensity than their parents. Conclusion: The electronic pain diary provided a key insight into the nature of "everyday" pain experiences around the family home. Digital daily reporting of how the family copes with "everyday" events represents a viable means to explore a child's everyday pains without disrupting their home environment.

Behavioral Strategies to Minimize Procedural Distress During In-Office Pediatric Tympanostomy Tube Placement Without Sedation or Restraint

The purpose of this study was to evaluate behavioral strategies to minimize procedural distress associated with in-office tympanostomy tube placement for children without general anesthesia, sedation, or papoose-board restraints. 120 6-month- to 4-year-olds and 102 5- to 12-year-olds were treated at 16 otolaryngology practices. Mean age of children was 4.7 years old (SD = 3.18 years), with more boys (58.1%) than girls (41.9%). The cohort included 14% Hispanic or Latinx, 84.2% White, 12.6% Black, 1.8% Asian and 4.1% ‘Other’ race and ethnicity classifications. The in-office tube placement procedure included local anesthesia via lidocaine/epinephrine iontophoresis and tube placement using an integrated and automated myringotomy and tube delivery system. Behavioral strategies were used to minimize procedural distress. Anxiolytics, sedation, or papoose board were not used. Pain was measured via the faces pain scale-revised (FPS-R) self-reported by the children ages 5 through 12 years. Independent coders supervised by a psychologist completed the face, legs, activity, cry, consolability (FLACC) behavior observational rating scale to quantify children’s distress. Mean FPS-R score for tube placement was 3.30, in the “mild’ pain range, and decreased to 1.69 at 5-min post-procedure. Mean tube placement FLACC score was 4.0 (out of a maximum score of 10) for children ages 6 months to 4 years and was 0.4 for children age 5–12 years. Mean FLACC score 3-min post-tube placement was 1.3 for children ages 6 months to 4 years and was 0.2 for children age 5–12 years. FLACC scores were inversely correlated with age, with older children displaying lower distress. The iontophoresis, tube delivery system and behavioral program were associated with generally low behavioral distress. These data suggest that pediatric tympanostomy and tube placement can be achieved in the outpatient setting without anxiolytics, sedatives, or mechanical restraints.

Automated Pain Assessment in Children using Electrodermal Activity and Video Data Fusion via Machine Learning

Pain assessment in children continues to challenge clinicians and researchers, as subjective experiences of pain require inference through observable behaviors, both involuntary and deliberate. The presented approach supplements the subjective self-report-based method by fusing electrodermal activity (EDA) recordings with video facial expressions to develop an objective pain assessment metric. Such an approach is specifically important for assessing pain in children who are not capable of providing accurate self-pain reports, requiring nonverbal pain assessment. We demonstrate the performance of our approach using data recorded from children in post-operative recovery following laparoscopic appendectomy. We examined separately and combined the usefulness of EDA and video facial expression data as predictors of childrens self-reports of pain following surgery through recovery. Findings indicate that EDA and facial expression data independently provide above chance sensitivities and specificities, but their fusion for classifying clinically significant pain vs. clinically nonsignificant pain achieved substantial improvement, yielding 90.91% accuracy, with 100% sensitivity and 81.82% specificity. The multimodal measures capitalize upon different features of the complex pain response. Thus, this paper presents both evidence for the utility of a weighted maximum likelihood algorithm as a novel feature selection method for EDA and video facial expression data and an accurate and objective automated classification algorithm capable of discriminating clinically significant pain from clinically nonsignificant pain in children.