Pediatric-Collaborative Health Outcomes Information Registry (Peds-CHOIR): a learning health system to guide pediatric pain research and treatment

Exploring the associations between the presence, characteristics, and biopsychosocial covariates of pain and lifetime depression in adolescents: A cross-sectional ABCD study analysis

INTRODUCTION

Depression and pain co-occur, even during adolescence. However, there is limited knowledge on the association between pain and lifetime depression, and which biopsychosocial measures are associated with this co-occurrence.

METHODS

Cross-sectional analysis of the Adolescent Brain and Cognitive Development (ABCD) two-year follow-up. We explored associations between the presence and characteristics of past month pain (intensity, duration, activity limitations, and number of pain sites) and lifetime depression using logistic regression. We explored associations of brain structure, physical, behavioural, emotional, social, and cognitive measures with lifetime depression and past month pain compared to having had one or neither condition using multinomial logistic regression.

RESULTS

A total of 5211 adolescents (mean age = 12.0 years) who had: (1) no lifetime mental ill-health and no pain (n = 3327); (2) pain only (n = 1407); (3) lifetime depressive disorder but no pain (n = 272); and (4) lifetime depressive disorder and pain (n = 205) were included. Pain presence was associated with lifetime depression (OR[95%CI]: 1.76 [1.45, 2.13], p < 0.001). Pain-related activity limitations (1.13 [1.06, 1.21], p < 0.001) and the number of pain sites (1.06 [1.02, 1.09], p < 0.001) were associated with lifetime depression. Various behavioural, emotional, social, and cognitive, but not brain structure or physical measures, were associated with lifetime depression and past month pain.

LIMITATIONS

Longitudinal analyses should validate prognostic markers for predicting co-occurring depression and pain.

CONCLUSIONS

Results support an association between the presence and characteristics of pain and lifetime depression during adolescence and could indicate the need for more integrated recognition and clinical care of youth experiencing both depression and pain.

Innovations in acute and chronic pain biomarkers: enhancing diagnosis and personalized therapy

Pain affects millions worldwide, posing significant challenges in diagnosis and treatment. Despite advances in understanding pain mechanisms, there remains a critical need for validated biomarkers to enhance diagnosis, prognostication, and personalized therapy. This review synthesizes recent advancements in identifying and validating acute and chronic pain biomarkers, including imaging, molecular, sensory, and neurophysiological approaches. We emphasize the emergence of composite, multimodal strategies that integrate psychosocial factors to improve the precision and applicability of biomarkers in chronic pain management. Neuroimaging techniques like MRI and positron emission tomography provide insights into structural and functional abnormalities related to pain, while electrophysiological methods like electroencepholography and magnetoencepholography assess dysfunctional processing in the pain neuroaxis. Molecular biomarkers, including cytokines, proteomics, and metabolites, offer diagnostic and prognostic potential, though extensive validation is needed. Integrating these biomarkers with psychosocial factors into clinical practice can revolutionize pain management by enabling personalized treatment strategies, improving patient outcomes, and potentially reducing healthcare costs. Future directions include the development of composite biomarker signatures, advances in artificial intelligence, and biomarker signature integration into clinical decision support systems. Rigorous validation and standardization efforts are also necessary to ensure these biomarkers are clinically useful. Large-scale collaborative research will be vital to driving progress in this field and implementing these biomarkers in clinical practice. This comprehensive review highlights the potential of biomarkers to transform acute and chronic pain management, offering hope for improved diagnosis, treatment personalization, and patient outcomes.

The Relationship Between Fatigue, Pain Interference, Pain-Related Distress, and Avoidance in Pediatric Hypermobile Ehlers-Danlos Syndrome

BACKGROUND/OBJECTIVES

Fatigue is a known predictor of disability and reduced quality of life in youth with hypermobility and chronic pain in general. Given the added relationship between chronic fatigue and connective tissue disorders, including hypermobile Ehlers-Danlos Syndrome (hEDS), this study aims to investigate the comparative role of fatigue on important predictors of outcomes for youth with and without hEDS who have chronic pain.

METHODS

In this retrospective study, pediatric patients with chronic pain diagnosed with hEDS (n = 100) were compared to an age- and sex-matched group of youth with chronic pain without diagnosed hypermobility (n = 100). Participants completed measures of pain-related distress (PCS-C), avoidance (FOPQ-A), and pediatric PROMIS measures for fatigue, anxiety, and pain interference. Data were analyzed using chi-square tests, t-tests, and ANCOVAs in RStudio.

RESULTS

Fatigue scores were higher and clinically elevated fatigue was more prevalent in those with hEDS than in matched chronic pain peers. Fatigue was significantly positively related to pain interference, avoidance, and pain-related distress in youth with and without hEDS.

CONCLUSIONS

The current study supports the need for multidisciplinary treatment and rehabilitation for pediatric chronic pain and hypermobility and suggests that fatigue may be an important factor to consider when treating youth with hypermobility.

The validity and reliability of the Turkish version of the Fear of Pain Questionnaire for Children-Short Form (FOPQC-SF) in children and adolescents with juvenile idiopathic arthritis

OBJECTIVE

The aim of this study was to investigate the validity and reliability of the Turkish version of the Fear of Pain Questionnaire for Children-Short Form (FOPQC-SF) in children/adolescents with juvenile idiopathic arthritis (JIA).

METHODS

To evaluate validity of FOPQC-SF, 70 children/adolescents with JIA were included. Data were collected using Pediatric Quality Of Life Inventory 3.0. Module Arthritis (PedsQL), Childhood Health Assessment Questionnaire (CHAQ) and Juvenile Arthritis Disease Activity Score (JADAS).To determine the reliability of the FOPQC-SF, test-retest was performed at one-week intervals on participants who had not made any changes to their pharmacological treatment and had not received any additional treatment.

RESULTS

With factor restrictions, items of Turkish version of FOPQC-SF were found acceptable for a 2-factor structure (fear:4 items; avoidance:6 items)(RMSEA = 0.058, GFI = 0.890, X2 = 40.667 X2/df = 1.196). With no restrictions, items of Turkish version of FOPQC-SF were found to be excellent for a 3-factor structure (fear:3 items; avoidance:4 items; other:3 items) (RMSEA = 0.036, GFI = 0.909, X2 = 34.465, X2/df = 1.077).The Cronbach's alpha value of Turkish version of FOPQC-SF total was 0.865 (good). The intraclass correlation coefficient (ICC2,1) was 0.865 (very high). Fear and avoidance subscales and total score of Turkish version of FOPQC-SF had low to moderate correlation with CHAQ-disability index, CHAQ-pain, CHAQ-global evaluation, JADAS, PedsQL-child total, PedsQL-parent total (r:-0.283/-0.452)(p < 0.05). Other subscale of Turkish version of FOPQC-SF had low to moderate correlation with CHAQ-disability index, CHAQ-pain, PedsQL-parent total (r:0.286/0.318) (p < 0.05).

CONCLUSION

The Turkish version of FOPQC-SF was found to be clinically valid and reliable in children and adolescents with JIA.

Characterizing phenotypes and clinical and health utilization associations of young people with chronic pain: latent class analysis using the electronic Persistent Pain Outcomes Collaboration database

ABSTRACT

Using the Australiasian electronic Persistent Pain Outcomes Collaboration, a binational pain registry collecting standardized clinical data from paediatric ePPOC (PaedsePPOC) and adult pain services (AdultePPOC), we explored and characterized nationally representative chronic pain phenotypes and associations with clinical and sociodemographic factors, health care utilization, and medicine use of young people. Young people ≥15.0 and <25.0 years captured in PaedePPOC and AdultePPOC Australian data registry were included. Data from 68 adult and 12 paediatric pain services for a 5-year period January 2018 to December 2022 (first episode, including treatment information) were analysed. Unsupervised latent class analysis was applied to explore the existence of distinct pain phenotypes, with separate models for both services. A 3-phenotype model was selected from both paediatric and adult ePPOC data, with 693 and 3518 young people included, respectively (at least one valid indicator variable). Indicator variables for paediatric models were as follows: pain severity, functional disability (quasisurrogate "pain interference"), pain count, pain duration, pain-related worry (quasisurrogate "catastrophizing"), and emotional functioning; and, for adult models: pain severity, pain interference, pain catastrophizing, emotional functioning, and pain self-efficacy. From both services, 3 similar phenotypes emerged ("low," "moderate," "high"), characterized by an increasing symptom-severity gradient in multidimensional pain-related variables, showing meaningful differences across clinical and sociodemographic factors, health service utilization, and medicines use. Derived phenotypes point to the need for novel care models that differentially respond to the needs of distinct groups of young people, providing timely, targeted, age-appropriate care. To effectively scale such care, digital technologies can be leveraged to augment phenotype-informed clinical care.

Achieving RoutIne Screening for Emotional health (ARISE) in pediatric subspecialty clinics

OBJECTIVE

This study aims to describe the experience of implementing a psychosocial distress screening system for children with serious or chronic medical conditions.

METHODS

Achieving RoutIne Screening for Emotional health (ARISE) was developed to systematically evaluate psychosocial distress in children with serious medical or chronic medical illnesses, by integrating patient-reported outcome measures (PROM) into care delivery. ARISE was developed using a user-centered approach with extensive input from patients, families, and healthcare professionals to overcome barriers to routine PROM collection and integration into care as usual. It comprises a system to capture PROMs and then relay results to clinicians for changing care. We sought to implement ARISE at four subspecialty pediatric clinics caring for patients with cystic fibrosis, sickle cell disease, hemophilia, and neurological malignancy.

RESULTS

Problems with acceptability, appropriateness, and feasibility represented barriers to implementation which were overcome by modifying the intervention using stakeholder input during the planning phase, leading to broad program acceptance. ARISE was implemented in three of the four clinics, in which 79.8% of eligible children and their family completed PROMs.

CONCLUSION

The ARISE program demonstrated the feasibility and effectiveness of integrating psychosocial screenings into subspecialty pediatric clinics, thereby enhancing the identification and management of psychosocial issues in children with serious and chronic medical illnesses.

Diversity in Combating Complex, Chronic, and Costly Conditions Using a Learning Health System Approach: A Scoping Review

INTRODUCTION

The purpose of this scoping review was to investigate in the literature how a learning health system (LHS) can be implemented in cases of complex, costly, chronic (3C) conditions.

METHODS

A scoping review of literature published in English since 2007 was conducted using Medline, Cumulative Index to Nursing and Allied Health Literature, and Scopus. Two authors screened the resulting articles and two authors extracted study details on the structure, process, and outcome of each LHS. Eligibility criteria included studies of LHSs that focused on populations experiencing a complex chronic health condition. A narrative synthesis of data was conducted using deductive qualitative methods.

RESULTS

Application of the authors' search strategy resulted in 656 publications that were analyzed for this review. The authors included 17 studies that focused on 13 LHSs. The structure of the LHSs had many components, and many included data from either patient surveys or patient charts. The processes varied widely, from engaging patients in the process to exclusively analyzing the data. The outcomes were largely patient-reported, though several clinical outcomes were also used to benchmark the success of the LHS.

DISCUSSION

Our review shows that LHS definitions, structures, processes, and outcomes in 3C applications vary widely. Many have shown substantial potential to be implemented and improve care in 3C populations. To deliver on this goal, future work will need to focus on better specification, formalization, and definition of LHS approaches, as well as better design of their structures, processes, and outcomes to fit the needs of the intended population.

Utilizing a learning health system to capture real-world patient data: Application of the reliable change index to evaluate and improve the outcome of a pain rehabilitation program

BACKGROUND AND OBJECTIVES

The learning healthcare system (LHS) has been developed to integrate patients' clinical data into clinical decisions and improve treatment outcomes. Having little guidance on this integration process, we aim to explain (a) an applicable analytic tool for clinicians to evaluate the clinical outcomes at a group and an individual level and (b) our quality improvement (QI) project, analyzing the outcomes of a new outpatient pain rehabilitation program ("Back-in-Action": BIA) and applying the analysis results to modify our clinical practice.

METHODS

Through our LHS (CHOIR; https://choir.stanford.edu), we administered the Pain Catastrophizing Scale (PCS), Chronic Pain Acceptance Questionnaire (CPAQ), and Patient-Reported Outcomes Measures (PROMIS)® before and after BIA. After searching for appropriate analytic tools, we decided to use the Reliable Change Index (RCI) to determine if an observed change in the direction of better (improvement) or worse (deterioration) would be beyond or within the measurement error (no change).

RESULTS

Our RCI calculations revealed that at least a 9-point decrease in the PCS scores and 10-point increase in the CPAQ scores would indicate reliable improvement. RCIs for the PROMIS measures ranged from 5 to 8 T-score points (i.e., 0.5-0.8 SD). When evaluating change scores of the PCS, CPAQ, and PROMIS measures, we found that 94% of patients showed improvement in at least one domain after BIA and 6% showed no reliable improvement.

CONCLUSIONS

Our QI project revealed RCI as a useful tool to evaluate treatment outcomes at a group and an individual level, and RCI could be incorporated into the LHS to generate a progress report automatically for clinicians. We further explained how clinicians could use RCI results to modify a clinical practice, to improve the outcomes of a pain program, and to develop individualized care plans. Lastly, we suggested future research areas to improve the LHS application in pain practice.

Pubertal development and pain incidence and characteristics in children: a 1-year prospective cohort study of a national sample

ABSTRACT

Sex differences in pain become apparent during puberty. However, the influence of key pubertal characteristics and pubertal hormones on pain is largely unknown. We examined the prospective associations between self-reported and hormone-indicated pubertal characteristics and pain incidence and severity in 10- to 11-year-old pain-free youth in the Adolescent Brain Cognitive Development (ABCD) Study over 1 year. Puberty was measured at baseline and follow-up with self-report (Pubertal Development Scale [PDS]) and hormonal assessment (salivary dehydroepiandrosterone [DHEA], testosterone, and estradiol). Pain status (yes/no), intensity, and interference (0-10 numerical rating scale) in the past month were self-reported at follow-up. Pubertal maturity, progression, and asynchrony were examined in relation to pain onset and severity through confounder-adjusted generalized estimating equations modified Poisson and linear mixed regression models. Among 6631 pain-free youth at baseline, 1-year incident pain was 30.7%. In both sexes, higher PDS scores were associated with greater risk of pain onset (relative risk [RR] = 1.10 to 1.27, P s < 0.01). In boys, higher PDS item variance was associated with greater pain incidence (RR = 1.11, 95% CI, 1.03-1.20) and interference (beta = 0.40, 95% CI, 0.03-0.76); higher PDS overall and gonadal scores were associated with higher pain intensity ( P s < 0.05). Associations with hormones were seen in boys only, with each 10-fold higher testosterone levels associated with a 40% lower risk of pain incidence (95% CI, -55% to -22%) and 1.30-point lower (95% CI, -2.12 to -0.48) pain intensity, and higher DHEA levels were associated with lower pain intensity ( P = 0.020). Relationships between pubertal development and pain in peripubertal adolescents are sex specific and puberty measurement specific and warrant further investigation.

Implementation strategies and outcome measures for advancing learning health systems: a mixed methods systematic review

BACKGROUND

Learning health systems strive to continuously integrate data and evidence into practice to improve patient outcomes and ensure value-based healthcare. While the LHS concept is gaining traction, the operationalization of LHSs is underexplored.

OBJECTIVE

To identify and synthesize the existing evidence on the implementation and evaluation of advancing learning health systems across international health care settings.

METHODS

A mixed methods systematic review was conducted. Six databases (CINAHL, Embase, Medline, PAIS, Scopus and Nursing at Allied Health Database) were searched up to July 2022 for terms related to learning health systems, implementation, and evaluation measures. Any study design, health care setting and population were considered for inclusion. No limitations were placed on language or date of publication. Two reviewers independently screened the titles, abstracts, and full texts of identified articles. Data were extracted and synthesized using a convergent integrated approach. Studies were critically appraised using relevant JBI critical appraisal checklists.

RESULTS

Thirty-five studies were included in the review. Most studies were conducted in the United States (n = 21) and published between 2019 and 2022 (n = 24). Digital data capture was the most common LHS characteristic reported across studies, while patient engagement, aligned governance and a culture of rapid learning and improvement were reported least often. We identified 33 unique strategies for implementing LHSs including: change record systems, conduct local consensus discussions and audit & provide feedback. A triangulation of quantitative and qualitative data revealed three integrated findings related to the implementation of LHSs: (1) The digital infrastructure of LHSs optimizes health service delivery; (2) LHSs have a positive impact on patient care and health outcomes; and (3) LHSs can influence health care providers and the health system.

CONCLUSION

This paper provides a comprehensive overview of the implementation of LHSs in various healthcare settings. While this review identified key implementation strategies, potential outcome measures, and components of functioning LHSs, further research is needed to better understand the impact of LHSs on patient, provider and population outcomes, and health system costs. Health systems researchers should continue to apply the LHS concept in practice, with a stronger focus on evaluation.

Commentary: Pediatric Pain Measurement, Assessment, and Evaluation

PEDIATRIC PAIN MEASUREMENT, ASSESSMENT, AND EVALUATION

Renee C.B. Manworren, Jennifer Stinson Seminars in Pediatric Neurology Volume 23, Issue 3, August 2016, Pages 189-200 Assessment provides the foundation for diagnosis, selection of treatments, and evaluation of treatment effectiveness for pediatric patients with acute, recurrent, and chronic pain. Extensive research has resulted in the availability of a number of valid, reliable, and recommended tools for assessing children's pain. Yet, evidence suggests children's pain is still not optimally measured or treated. In this article, we provide an overview of pain evaluation for premature neonates to adolescents. The difference between pain assessment and measurement is highlighted; and the key steps to follow are identified. Information about self report and behavioral pain assessment tools appropriate for children are provided; and fac tors to be considered when choosing a specific 1 are outlined. Finally, we preview future approaches to personalized pain medicine in pediatrics that include harnessing the use of potential digital health technologies and genomics.

Implementation of child-centred outcome measures in routine paediatric healthcare practice: a systematic review

BACKGROUND

Person-centred outcome measures (PCOMs) are commonly used in routine adult healthcare to measure and improve outcomes, but less attention has been paid to PCOMs in children's services. The aim of this systematic review is to identify and synthesise existing evidence of the determinants, strategies, and mechanisms that influence the implementation of PCOMs into paediatric healthcare practice.

METHODS

The review was conducted and reported in accordance with PRISMA guidelines. Databased searched included CINAHL, Embase, Medline, and PsycInfo. Google scholar was also searched for grey literature on 25th March 2022. Studies were included if the setting was a children's healthcare service, investigating the implementation or use of an outcome measure or screening tool in healthcare practice, and reported outcomes relating to use of a measure. Data were tabulated and thematically analysed through deductive coding to the constructs of the adapted-Consolidated Framework for Implementation Research (CFIR). Results were presented as a narrative synthesis, and a logic model developed.

RESULTS

We retained 69 studies, conducted across primary (n = 14), secondary (n = 13), tertiary (n = 37), and community (n = 8) healthcare settings, including both child self-report (n = 46) and parent-proxy (n = 47) measures. The most frequently reported barriers to measure implementation included staff lack of knowledge about how the measure may improve care and outcomes; the complexity of using and implementing the measure; and a lack of resources to support implementation and its continued use including funding and staff. The most frequently reported facilitators of implementation and continued use include educating and training staff and families on: how to implement and use the measure; the advantages of using PCOMs over current practice; and the benefit their use has on patient care and outcomes. The resulting logic model presents the mechanisms through which strategies can reduce the barriers to implementation and support the use of PCOMs in practice.

CONCLUSIONS

These findings can be used to support the development of context-specific implementation plans through a combination of existing strategies. This will enable the implementation of PCOMs into routine paediatric healthcare practice to empower settings to better identify and improve child-centred outcomes.

TRIAL REGISTRATION

Prospero CRD 42022330013.

Feasibility and reliability of a quantitative sensory testing protocol in youth with acute musculoskeletal pain postsurgery or postinjury

ABSTRACT

Quantitative sensory testing (QST) is increasingly used in pediatric chronic pain; however, assessment in youth with acute musculoskeletal (MSK) pain is limited. This study evaluated the feasibility, reliability, and sources of variability of a brief QST protocol in 2 clinical samples of youth with acute MSK pain. Participants were 277 youth (M age = 14.5 years, SD = 2.0, range = 11-18 years, 59% female, 81% non-Hispanic) across 3 geographic study sites who completed a QST protocol assessing pressure and thermal pain sensitivity, temporal summation of pain, and conditioned pain modulation 8 weeks after MSK surgery (n = 100) or within 4 weeks after an acute MSK injury (n = 177). High feasibility was demonstrated by protocol completion rates ranging from 97.5% to 100% for each task, with 95.3% of youth completing all tasks. Reliability was high, with reliability coefficients of >0.97 for 7 out of 8 QST parameters and minimal influence of examiner or participating site effects. Younger youth had lower pressure and heat pain thresholds (11-12 vs 13-18 years, d = -0.80 to -0.56) and cold pain tolerance (d = -0.33). Hispanic youth had higher pressure and heat pain thresholds (d = 0.37-0.45) and pain ratings for cold pain tolerance (d = 0.54) compared with non-Hispanic youth. No significant differences were observed in QST values by sex or personal contextual factors at the time of assessment (momentary pain, menstrual period, use of pain medications). Overall findings demonstrate feasibility of a brief QST protocol with youth with diverse acute MSK pain and data provide initial support for the reliability of this QST protocol for multisite research studies.

Pragmatic Comparative Effectiveness Trials and Learning Health Systems in Pain Medicine: Opportunities and Challenges

Large randomized clinical trials or aggregates of clinical trials represent the highest levels of clinical evidence because they minimize different sources of confounding and bias. The current review provides an in-depth discussion of the challenges faced and methods we can use to overcome these obstacles to tailor novel designs of pragmatic effectiveness trials to pain medicine. The authors describe their experiences with an open-source learning health system to collect high-quality evidence and conduct pragmatic clinical trials within a busy academic pain center.

Stress Numerical Rating Scale-11: Validation in Pediatric Inpatient and Outpatient Pain Settings

Stress is a commonly reported issue in pediatric populations of chronic and acute pain. Both outpatient and inpatient settings impose time constraints, which decreases opportunities to measure and address patient stress. The aim of these studies was to evaluate the validity of the Stress Numeric Rating Scale-11 (SNRS-11) in both inpatient and outpatient settings. The SNRS-11 is a single item stress measure ranging from 0 to 10 with endpoint anchors: 0 = "No stress" and 10 = "Highest stress possible". Results showed discriminative validity in the inpatient sample and convergent and discriminant validity in both outpatient and inpatient samples. Additionally, approximately 40% to 50% of the sample reported moderate-severe stress on all post-operative days. The SNRS-11 shows promise as a quick, easy, and free stress measure to be used in both inpatient and outpatient settings.

Real-world data and evidence in pain research: a qualitative systematic review of methods in current practice

The use of routinely collected health data (real-world data, RWD) to generate real-world evidence (RWE) for research purposes is a growing field. Computerized search methods, large electronic databases, and the development of novel statistical methods allow for valid analysis of data outside its primary clinical purpose. Here, we systematically reviewed the methodology used for RWE studies in pain research. We searched 3 databases (PubMed, EMBASE, and Web of Science) for studies using retrospective data sources comparing multiple groups or treatments. The protocol was registered under the DOI:10.17605/OSF.IO/KGVRM. A total of 65 studies were included. Of those, only 4 compared pharmacological interventions, whereas 49 investigated differences in surgical procedures, with the remaining studying alternative or psychological interventions or epidemiological factors. Most 39 studies reported significant results in their primary comparison, and an additional 12 reported comparable effectiveness. Fifty-eight studies used propensity scores to account for group differences, 38 of them using 1:1 case:control matching. Only 17 of 65 studies provided sensitivity analyses to show robustness of their findings, and only 4 studies provided links to publicly accessible protocols. RWE is a relevant construct that can provide evidence complementary to randomized controlled trials (RCTs), especially in scenarios where RCTs are difficult to conduct. The high proportion of studies reporting significant differences between groups or comparable effectiveness could imply a relevant degree of publication bias. RWD provides a potentially important resource to expand high-quality evidence beyond clinical trials, but rigorous quality standards need to be set to maximize the validity of RWE studies.

Targeting Pain Science Education in Youth With Chronic Pain: What Are the Sticking Points for Youth and Their Parents?

OBJECTIVES

An important part of providing pain science education is to first assess baseline knowledge and beliefs about pain, thereby identifying misconceptions and establishing individually-tailored learning objectives. The Concept of Pain Inventory (COPI) was developed to support this need. This study aimed to characterize the concept of pain in care-seeking youth and their parents, to examine its clinical and demographic correlates, and to identify conceptual gaps.

MATERIALS AND METHODS

Following an initial interdisciplinary evaluation, a cohort of 127 youth aged 8 to 18 years, and their parents, completed a series of questionnaires.

RESULTS

Parents had slightly higher COPI scores than youth did, reflecting parents' greater alignment with contemporary pain science. The moderate positive association with older age among youth ( r =.32) suggests that COPI is sensitive to cognitive development and life experiences. Youth and parent COPI responses were weakly associated ( r =0.24), highlighting the importance of targeting the concept of pain in both groups. For both parents and youth, 'Learning about pain can help you feel less pain' was the least endorsed concept. This conceptual 'gap' is a key point of intervention that could potentially lead to greater engagement with multidisciplinary pain treatment.

DISCUSSION

The COPI appears useful for identifying conceptual gaps or 'sticking points'; this may be an important step to pre-emptively address misconceptions about pain through pain science education. Future research should determine the utility of COPI in assessing and treating youth seeking care for pain. The COPI may be a useful tool for tailoring pain science education to youth and their parents.

Conceptualizing learning health systems: A mapping review

Introduction

Health systems worldwide face the challenge of increasing population health with high-quality care and reducing health care expenditure growth. In pursuit for a solution, regional cross-sectoral partnerships aim to reorganize and integrate services across public health, health care and social care. Although the complexity of regional partnerships demands an incremental strategy, it is yet not known how learning works within these partnerships. To understand learning in regional cross-sectoral partnerships for health, this study aims to map the concept Learning Health System (LHS).

Methods

This mapping review used a qualitative text analysis approach. A literature search was conducted in Embase and was limited to English-language papers published in the period 2015-2020. Title-abstract screening was performed using established exclusion criteria. During full-text screening, we combined deductive and inductive coding. The concept LHS was disentangled into aims, design elements, and process of learning. Data extraction and analysis were performed in MAX QDA 2020.

Results

In total, 155 articles were included. All articles used the LHS definition of the Institute of Medicine. The interpretation of the concept LHS varied widely. The description of LHS contained 25 highly connected aims. In addition, we identified nine design elements. Most elements were described similarly, only the interpretation of stakeholders, data infrastructure and data varied. Furthermore, we identified three types of learning: learning as 1) interaction between clinical practice and research; 2) a circular process of converting routine care data to knowledge, knowledge to performance; and performance to data; and 3) recurrent interaction between stakeholders to identify opportunities for change, to reveal underlying values, and to evaluate processes. Typology 3 was underrepresented, and the three types of learning rarely occurred simultaneously.

Conclusion

To understand learning within regional cross-sectoral partnerships for health, we suggest to specify LHS-aim(s), operationalize design elements, and choose deliberately appropriate learning type(s).

Selection and reporting of outcome measures used in long-term follow-up studies of children and adolescents with chronic pain: A scoping review

The aim of this review was to determine the range of outcomes reported in long-term follow-up studies of children and adolescents with chronic pain. Using a scoping review methodology, a systematic search for studies reporting outcomes in children and adolescents with chronic pain over a ≥12 month period was undertaken. Studies were eligible for inclusion if they included children and adolescents (≤18 years old on study enrolment) with chronic pain, and outcomes were followed up for ≥12 months. Overall, 42 studies investigating more than 24,132 children were included in the review. Studies assessed a total of 187 unique outcome measures within the broader measures of pain (38 studies; 90%), function (33 studies; 79%) and other (21 studies; 50%). Unidimensional assessments of the severity or presence of pain and global assessments of function were the most commonly reported outcome measures. The number of study follow-up points ranged from 1 to 5, with mode duration of follow-up 12 months post intervention (25 studies; 60%; range 1-13 years). Overall, we identified a wide range of reported outcome measures in studies of children with chronic pain. Beyond assessments of pain intensity and global function, there is little consistency, and reporting of developmental outcome measures is poor. Further long-term outcome research in this population is needed.

CHOIRBM: An R package for exploratory data analysis and interactive visualization of pain patient body map data

Body maps are commonly used to capture the location of a patient's pain and thus reflect the extent of pain throughout the body. With increasing electronic capture body map information, there is an emerging need for clinic- and research-ready tools capable of visualizing this data on individual and mass scales. Here we propose CHOIRBM, an extensible and modular R package and companion web application built on the grammar of graphics system. CHOIRBM provides functions that simplify the process of analyzing and plotting patient body map data integrated from the CHOIR Body Map (CBM) at both individual patient and large-dataset levels. CHOIRBM is built on the popular R graphics package, ggplot2, which facilitates further development and addition of functionality by the open-source development community as future requirements arise. The CHOIRBM package is distributed under the terms of the MIT license and is available on CRAN. The development version of the package with the latest functions may be installed from GitHub. Example analysis using CHOIRBM demonstrates the functionality of the modular R package and highlights both the clinical and research utility of efficiently producing CBM visualizations.

Agile development of a digital exposure treatment for youth with chronic musculoskeletal pain: protocol of a user-centred design approach and examination of feasibility and preliminary efficacy

INTRODUCTION

Chronic pain affects a significant number of children and impacts multiple domains including social, emotional and behavioural functioning, and negatively impacts family functioning. Roughly 5% of youth with chronic pain experience moderate to severe pain-related disability, with pain-related fear and avoidance of activities being identified as substantial barriers to treatment engagement. Evidence supports targeted psychological and physical interventions to address these barriers (eg, graded-exposure treatment), but accessibility to intervention is undermined by a shortage of services outside of urban areas, high treatment-related costs, and long provider waitlists; highlighting the need to develop digitally delivered behavioural intervention, using agile and iterative study designs that support rapid development and timely dissemination.

METHODS AND ANALYSIS

This study seeks to develop an effective and scalable intervention for youth with chronic pain and their caregivers. This paper presents a user-centred protocol for the development and refinement of a digital exposure treatment for youth and caregivers, as well as the study design to examine feasibility and preliminary efficacy of the treatment using single-case experimental design (SCED). Assessments include daily diaries, completed from baseline and daily throughout the intervention (~6 weeks), and at 3-month follow-up, as well as self-report measures completed at baseline, end of intervention and 3-month follow-up. Primary outcomes include treatment satisfaction, treatment expectancy, adherence to daily dairies and functional disability. Secondary outcomes are pain-related fear and avoidance of activities, pain catastrophising and pain acceptance. We will present descriptive and model-based inference analyses, based on SCED reporting guidelines. We will calculate effect sizes for each individual on each outcome. We will examine mean treatment expectancy, credibility and satisfaction scores, and patient drop-out percentage.

ETHICS AND DISSEMINATION

This study is approved by the Institutional Review Board at Stanford University (protocol #53323). Findings will be actively disseminated through peer-reviewed journals, conference presentations and social media.

TRIAL REGISTRATION NUMBER

NCT05079984.

The SHOnet learning health system: Infrastructure for continuous learning in pediatric rehabilitation

Introduction

To describe the development and implementation of learning health system (LHS) infrastructure for a pediatric specialty care health system to support LHS research in pediatric rehabilitation settings.

Methods

An existing pediatric common data model (eg, PEDSnet) of standardized medical terminologies for research was expanded and leveraged for this stud, and applied to SHOnet, a clinical research data resource consisting of deidentified data extracted from the electronic health record (EHR) from the Shriners Hospitals for Children speacialty pediatric health care system. We mapped EHR data for laboratory, procedures, drugs, and conditions to standardized vocabularies including ICD-10, CPT, RxNorm, and LOINC to the common data model using an established extraction-transformation-loading process. Rigorous quality checks were conducted to ensure a high degree of data conformance, completeness, and plausibility. SHOnet data elements from all sources are de-identified and the server is managed by the SHC Information Systems Department. SHOnet data are refreshed monthly and data elements are continually expanded based on new research endeavors.

Interventions

Not applicable.

Results

The Shriners Health Outcomes Network (SHOnet) includes data for over 10 000 distinct observational data elements based on over two million patient encounters between 2011 and present.

Conclusion

The systematic process to develop SHOnet is replicable and flexible for other pediatric rehabilitation research settings interested in building out their LHS capabilities. Challenges and facilitators may arise for building such LHS infrastructure for rehabilitation in areas of (a) data capture, curation, query, and governance, (b) generating knowledge from data, and (c) dissemination and implementation of new institutional knowledge. Further research studies are needed to evaluate these data resources for scalable system-learning endeavors.SHOnet is an exemplar of an LHS for rehabilitation and specialty care settings. The success of an LHS is dependent on engagement of multiple stakeholders, shared governance, effective knowledge translation, and deep commitment to long-term strategies for engaging clinicians, administration, and families in leveraging knowledge to improve clinical outcomes.

Comparison of pain and psychosocial correlates among Hispanic and Non-Hispanic White youth with chronic pain

Introduction:

Despite well-documented pain disparities among adults from non-White and Hispanic groups, less is known about pain disparities in non-White and Hispanic pediatric populations.

Objectives:

We compare pain and related psychosocial factors at the individual (pain intensity, pain interference, pain catastrophizing, co-occurring symptoms), social (peer relations), and systemic (health insurance) levels among Hispanic and Non-Hispanic White (NHW) youth with chronic pain.

Methods:

Eight hundred thirty-seven (71.4% female) Hispanic (n = 268, 32%) and NHW (n = 569, 68%) youth ages 8 to 17 years (M = 14.00; SD = 2.54) completed a survey at their initial visit to a pain clinic. Independent sample t tests investigated mean differences in psychosocial factors at the individual and social levels. Chi-squared tests investigated differences at the systemic level. Bivariate correlations for each group were compared using Fisher r-to-z transformations.

Results:.

Hispanic youth reported higher levels of pain intensity (t[811] = −2.75, P = 0.006). Groups did not differ in reports of other individual or social factors. Non-Hispanic White youth were more likely to have private insurance (OR, 5.66). All examined variables were significantly correlated among NHW youth. Correlations were weaker or nonsignificant among Hispanic youth. Fisher r-to-z transformations revealed these group differences to be significant.

Conclusion:

Hispanic youth report higher pain levels than NHW counterparts and lower likelihood of having private insurance. Pain and psychosocial factors correlate differently among the 2 groups highlighting a need to better understand the chronic pain experiences of diverse youth because models derived primarily from NHW populations may not generalize across ethnic and racial groups.

Signature for Pain Recovery IN Teens (SPRINT): protocol for a multisite prospective signature study in chronic musculoskeletal pain

INTRODUCTION

Current treatments for chronic musculoskeletal (MSK) pain are suboptimal. Discovery of robust prognostic markers separating patients who recover from patients with persistent pain and disability is critical for developing patient-specific treatment strategies and conceiving novel approaches that benefit all patients. Given that chronic pain is a biopsychosocial process, this study aims to discover and validate a robust prognostic signature that measures across multiple dimensions in the same adolescent patient cohort with a computational analysis pipeline. This will facilitate risk stratification in adolescent patients with chronic MSK pain and more resourceful allocation of patients to costly and potentially burdensome multidisciplinary pain treatment approaches.

METHODS AND ANALYSIS

Here we describe a multi-institutional effort to collect, curate and analyse a high dimensional data set including epidemiological, psychometric, quantitative sensory, brain imaging and biological information collected over the course of 12 months. The aim of this effort is to derive a multivariate model with strong prognostic power regarding the clinical course of adolescent MSK pain and function.

ETHICS AND DISSEMINATION

The study complies with the National Institutes of Health policy on the use of a single internal review board (sIRB) for multisite research, with Cincinnati Children's Hospital Medical Center Review Board as the reviewing IRB. Stanford's IRB is a relying IRB within the sIRB. As foreign institutions, the University of Toronto and The Hospital for Sick Children (SickKids) are overseen by their respective ethics boards. All participants provide signed informed consent. We are committed to open-access publication, so that patients, clinicians and scientists have access to the study data and the signature(s) derived. After findings are published, we will upload a limited data set for sharing with other investigators on applicable repositories.

TRIAL REGISTRATION NUMBER

NCT04285112.

Assessing a child or adolescent with low back pain is different to assessing an adult with low back pain

In contrast to an assessment of an adult presenting with low back pain (LBP), clinicians should utilise different approaches when assessing children and adolescents presenting with LBP. Children are not 'little adults'. There are some unique pathologies that only occur in this age group: (i) serious pathologies include infection, fracture, child abuse and malignancy; (ii) growth-related pathologies include scoliosis, Scheuermann's disease, pars fracture and spondylolysis; and (iii) rheumatological conditions include juvenile idiopathic arthritis and ankylosing spondylitis. With changes in each child occurring physically, emotionally and socially, a clinician's knowledge of typical developmental milestones is essential to identify regression or delayed development. When listening to a child discuss their pain experience, a flexible structure should be implemented that gives the capacity to actively listen to a child's narrative (and that of their guardian) and to conduct an effective physical examination. This viewpoint also summarises the relationship between potential clinical diagnoses and key elements of a physical examination. Deciding on the type and timing of paediatric-specific physical examination tests requires unique child-centred considerations. Paediatric-specific outcome measures should be used but implemented pragmatically, with consideration regarding the time, complexity and pathology suspected. Systematic and rigorous approaches to both treatment planning and re-assessment are then proposed for the assessment of children and adolescents presenting with LBP.

The Science of Learning Health Systems: Scoping Review of Empirical Research

BACKGROUND

The development and adoption of a learning health system (LHS) has been proposed as a means to address key challenges facing current and future health care systems. The first review of the LHS literature was conducted 5 years ago, identifying only a small number of published papers that had empirically examined the implementation or testing of an LHS. It is timely to look more closely at the published empirical research and to ask the question, Where are we now? 5 years on from that early LHS review.

OBJECTIVE

This study performed a scoping review of empirical research within the LHS domain. Taking an "implementation science" lens, the review aims to map out the empirical research that has been conducted to date, identify limitations, and identify future directions for the field.

METHODS

Two academic databases (PubMed and Scopus) were searched using the terms "learning health* system*" for papers published between January 1, 2016, to January 31, 2021, that had an explicit empirical focus on LHSs. Study information was extracted relevant to the review objective, including each study's publication details; primary concern or focus; context; design; data type; implementation framework, model, or theory used; and implementation determinants or outcomes examined.

RESULTS

A total of 76 studies were included in this review. Over two-thirds of the studies were concerned with implementing a particular program, system, or platform (53/76, 69.7%) designed to contribute to achieving an LHS. Most of these studies focused on a particular clinical context or patient population (37/53, 69.8%), with far fewer studies focusing on whole hospital systems (4/53, 7.5%) or on other broad health care systems encompassing multiple facilities (12/53, 22.6%). Over two-thirds of the program-specific studies utilized quantitative methods (37/53, 69.8%), with a smaller number utilizing qualitative methods (10/53, 18.9%) or mixed-methods designs (6/53, 11.3%). The remaining 23 studies were classified into 1 of 3 key areas: ethics, policies, and governance (10/76, 13.2%); stakeholder perspectives of LHSs (5/76, 6.6%); or LHS-specific research strategies and tools (8/76, 10.5%). Overall, relatively few studies were identified that incorporated an implementation science framework.

CONCLUSIONS

Although there has been considerable growth in empirical applications of LHSs within the past 5 years, paralleling the recent emergence of LHS-specific research strategies and tools, there are few high-quality studies. Comprehensive reporting of implementation and evaluation efforts is an important step to moving the LHS field forward. In particular, the routine use of implementation determinant and outcome frameworks will improve the assessment and reporting of barriers, enablers, and implementation outcomes in this field and will enable comparison and identification of trends across studies.

Technology to Assess and Treat Pain in Pediatric Rheumatology

Advancements in eHealth offer unique opportunities for assisting in and augmenting aspects of evidence-based pain evaluation and management with children and adolescents. In this article, we present an overview of some of the opportunities and challenges in pain eHealth for pediatric rheumatologists to consider while caring for children and adolescents seen in their practice.

Incorporating patient-centered quality-of-life measures for outcome assessment after Chiari malformation type I decompression in a pediatric population: a pilot study

OBJECTIVE

Optimal management of pediatric Chiari malformation type I (CM-I) is much debated, chiefly due to the lack of validated tools for outcome assessment, with very few tools incorporating patient-centered measures of health-related quality of life (HRQOL). Although posterior fossa decompression (PFD) benefits a subset of patients, prediction of its impact across patients is challenging. The primary aim of this study was to investigate the role of patient-centered HRQOL measures in the assessment and prediction of outcomes after PFD.

METHODS

The authors collected HRQOL data from a cohort of 20 pediatric CM-I patients before and after PFD. The surveys included assessments of selected Patient-Reported Outcomes Measurement Information System (PROMIS) health domains and were used to generate the PROMIS preference (PROPr) score, which is a measure of HRQOL. PROMIS is a reliable standardized measure of HRQOL domains such as pain, fatigue, depression, and physical function, which are all relevant to CM-I. The authors then compared the PROPr scores with Chicago Chiari Outcome Scale (CCOS) scores derived from time-matched clinical documentation. Finally, the authors used the PROPr scores as an outcome measure to predict postsurgical HRQOL improvement at 1 year on the basis of patient demographic characteristics, comorbidities, and radiological and physical findings. The Wilcoxon signed-rank test, Mann-Whitney U-test, and Kendall's correlation were used for statistical analysis.

RESULTS

Aggregate analysis revealed improvement of pain severity after PFD (p = 0.007) in anatomical patterns characteristic of CM-I. Most PROMIS domain scores trended toward improvement after surgery, with anxiety and pain interference reaching statistical significance (p < 0.002 and p < 0.03, respectively). PROPr scores also significantly improved after PFD (p < 0.008). Of the baseline patient characteristics, preexisting scoliosis was the most accurate negative predictor of HRQOL improvement after PFD (median -0.095 vs 0.106, p < 0.001). A correlation with modest magnitude (Kendall's tau range 0.19-0.47) was detected between the patient-centered measures and CCOS score.

CONCLUSIONS

The authors observed moderate improvement of HRQOL, when measured using a modified panel of PROMIS question banks, in this pilot cohort of pediatric CM-I patients after PFD. Further investigations are necessary to validate this tool for children with CM-I and to determine whether these scores correlate with clinical and radiographic findings.

Clinical Utility of CAT Administered PROMIS Measures to Track Change for Pediatric Chronic Pain

Patient Reported Outcomes (PROs) are utilized in clinical registries and trials, necessitating development of benchmarks to enhance interpretability. This study aimed to 1) examine if PROMIS measures administered via computer adaptive testing (CAT) were responsive to change, and 2) highlight one method of assessing clinically significant change for youth seen in a tertiary pain clinic. Clinically significant change was achieved if patients had significantly reliable pre-to-post-changes greater than Reliable Change Index (RCI) value and reported decreased symptoms by at least one severity level (e.g., moderate to mild). Participants were 328 youth (8-17 years old) seen in a tertiary pediatric pain management clinic. Small to moderate effect sizes were noted across PROMIS measures (except Peer Relations). Reliable magnitudes of change were estimated for this sample as approximately 6 point reduction for Pain Interference and Mobility, 9 for Fatigue, and 11 for Anxiety and Depression. Depending on the measure, 10 to 24% were categorized as improved, 3 to 6% as deteriorated, and 68 to 81% were either not clinically elevated at baseline or remained unchanged at 3 months. Overall, PROMIS CAT measures demonstrated responsiveness to change over time. Estimation of clinically significant change offers preliminary yet rigorous benchmarks for evaluating treatment response and sets the stage for understanding treatment effects. PERSPECTIVE: This study assesses responsiveness of CAT administered PROMIS measures and highlights one methodological approach of presenting clinical significance for assessing treatment outcomes in pediatric chronic pain. These benchmarks will allow clinicians and researchers to evaluate treatment response utilizing PROs while allowing for a deeper understanding of treatment effects.

How can we discover the most valuable types of big data and artificial intelligence-based solutions? A methodology for the efficient development of the underlying analytics that improve care

BACKGROUND

Much has been invested in big data and artificial intelligence-based solutions for healthcare. However, few applications have been implemented in clinical practice. Early economic evaluations can help to improve decision-making by developers of analytics underlying these solutions aiming to increase the likelihood of successful implementation, but recommendations about their use are lacking. The aim of this study was to develop and apply a framework that positions best practice methods for economic evaluations alongside development of analytics, thereby enabling developers to identify barriers to success and to select analytics worth further investments.

METHODS

The framework was developed using literature, recommendations for economic evaluations and by applying the framework to use cases (chronic lymphocytic leukaemia (CLL), intensive care, diabetes). First, the feasibility of developing clinically relevant analytics was assessed and critical barriers to successful development and implementation identified. Economic evaluations were then used to determine critical thresholds and guide investment decisions.

RESULTS

When using the framework to assist decision-making of developers of analytics, continuing development was not always feasible or worthwhile. Developing analytics for progressive CLL and diabetes was clinically relevant but not feasible with the data available. Alternatively, developing analytics for newly diagnosed CLL patients was feasible but continuing development was not considered worthwhile because the high drug costs made it economically unattractive for potential users. Alternatively, in the intensive care unit, analytics reduced mortality and per-patient costs when used to identify infections (- 0.5%, - €886) and to improve patient-ventilator interaction (- 3%, - €264). Both analytics have the potential to save money but the potential benefits of analytics that identify infections strongly depend on infection rate; a higher rate implies greater cost-savings.

CONCLUSIONS

We present a framework that stimulates efficiency of development of analytics for big data and artificial intelligence-based solutions by selecting those applications of analytics for which development is feasible and worthwhile. For these applications, results from early economic evaluations can be used to guide investment decisions and identify critical requirements.

Core outcome set for pediatric chronic pain clinical trials: results from a Delphi poll and consensus meeting

Appropriate outcome measures and high-quality intervention trials are critical to advancing care for children with chronic pain. Our aim was to update a core outcome set for pediatric chronic pain interventions. The first phase involved collecting providers', patients', and parents' perspectives about treatment of pediatric chronic pain to understand clinically meaningful outcomes to be routinely measured. The second phase was to reach consensus of mandatory and optional outcome domains following the OMERACT framework. A modified Delphi study with 2 rounds was conducted including 3 stakeholder groups: children with chronic pain (n = 93), their parents (n = 90), and health care providers who treat youth with chronic pain (n = 52). Quantitative and qualitative data from round 1 of the Delphi study were summarized to identify important outcomes, which were condensed to a list of 10 outcome domains. Round 2 surveys were analyzed to determine the importance of the 10 domains and their relative ranking in each stakeholder group. A virtual consensus conference was held with the steering committee to reach consensus on a set of recommended outcome domains for pediatric chronic pain clinical trials. It was determined, by unanimous vote, that pain severity, pain interference with daily living, overall well-being, and adverse events, including death, would be considered mandatory domains to be assessed in all trials of any type of intervention. Emotional functioning, physical functioning, and sleep were important but optional domains. Last, the research agenda identifies several important emerging areas, including biomarkers. Future work includes selecting appropriate validated measures to assess each outcome domain.

Evaluating Telehealth Implementation in the Context of Pediatric Chronic Pain Treatment during COVID-19

Telehealth has emerged as a promising healthcare delivery modality due to its ability to ameliorate traditional access-level barriers to treatment. In response to the onset of the novel coronavirus (COVID-19) pandemic, multidisciplinary pain clinics either rapidly built telehealth infrastructure from the ground up or ramped up existing services. As the use of telehealth increases, it is critical to develop data collection frameworks that guide implementation. This applied review provides a theoretically-based approach to capitalize on existing data sources and collect novel data to inform virtually delivered care in the context of pediatric pain care. Reviewed multisource data are (1) healthcare administrative data; (2) electronic chart review; (3) clinical health registries; and (4) stakeholder feedback. Preliminary telehealth data from an interdisciplinary pediatric chronic pain management clinic (PPMC) serving youth ages 8–17 years are presented to illustrate how relevant implementation outcomes can be extracted from multisource data. Multiple implementation outcomes were assessed, including telehealth adoption rates, patient clinical symptoms, and mixed-method patient-report telehealth satisfaction. This manuscript provides an applied roadmap to leverage existing data sources and incorporate stakeholder feedback to guide the implementation of telehealth in pediatric chronic pain settings through and beyond COVID-19. Strengths and limitations of the modeled data collection approach are discussed within the broader context of implementation science.

Learning networks in pediatric heart failure and transplantation

BACKGROUND

Learning networks have emerged in medicine as a novel organizational structure that contains elements of quality improvement, education, and research with the goal of effecting rapid improvements in clinical care. In this article, the concept of a learning network is defined and highlighted in the field of pediatric heart failure and transplantation.

METHODS

Learning networks are defined, with particular attention paid to the recent creation of the Advanced Cardiac Therapies Improving Outcomes Network (ACTION) for children with heart failure and those being supported with ventricular assist devices (VAD).

RESULTS

The mission, goals, and organizational structure of ACTION are described, and recent initiatives promoted by ACTION are highlighted, such as stroke reduction initiatives, practice harmonization protocols, and use of ACTION data to support the recent US Food and Drug Administration approval of newer VAD for pediatric patients.

CONCLUSIONS

The learning network, exemplified by ACTION, is distinguished from traditional clinical research collaboratives by contributions in research, quality improvement, patient-reported outcomes, and education, and serves as an effective vehicle to drive clinical improvement in the care of children with advanced heart failure.

A Narrative Review on Perioperative Pain Management Strategies in Enhanced Recovery Pathways-The Past, Present and Future

Effective pain management is a key component in the continuum of perioperative care to ensure optimal outcomes for surgical patients. The overutilization of opioids in the past few decades for postoperative pain control has been a major contributor to the current opioid epidemic. Multimodal analgesia (MMA) and enhanced recovery after surgery (ERAS) pathways have been repeatedly shown to significantly improve postoperative outcomes such as pain, function and satisfaction. The current review aims to examine the history of perioperative MMA strategies in ERAS and provide an update with recent evidence. Furthermore, this review details recent advancements in personalized pain medicine. We speculate that the next important step for improving perioperative pain management could be through incorporating these personalized metrics, such as clinical pharmacogenomic testing and patient-reported outcome measurements, into ERAS program.

Best practices for virtual care to support youth with chronic pain and their families: a rapid systematic review to inform health care and policy during COVID-19 and beyond

Supplemental Digital Content is Available in the Text.

Evidence-informed guidance to better leverage, implement, and select virtual care platforms for pediatric chronic pain, and identified knowledge gaps are in need of additional research.

The COVID-19 pandemic has acutely challenged health systems and catalyzed the need for widescale virtual care and digital solutions across all areas of health, including pediatric chronic pain. The objective of this rapid systematic review was to identify recommendations, guidelines, and/or best practices for using virtual care to support youth with chronic pain and their families (CRD42020184498). MEDLINE, CINAHL, Embase, APA PsychINFO, and Web of Science were searched the week of May 25, 2020, for English language peer-reviewed articles published since 2010 that (1) discussed children and adolescents aged <18 years reporting any type of chronic pain (ie, pain lasting >3 months); (2) focused on any type of virtual care (eg, telephone, telehealth, telemedicine, mHealth, eHealth, online, or digital); and (3) reported on guidelines, best practices, considerations, or recommendations for virtual care. Abstract and full text screening and data extraction were performed in duplicate. Meta-ethnography was used to synthesize concepts across articles. Of 4161 unique records screened, 16 were included addressing diverse virtual care and pediatric chronic pain conditions. Four key themes were identified: (1) opportunities to better leverage virtual care, (2) direct effective implementation of virtual care, (3) selection of virtual care platforms, and (4) gaps in need of further consideration when using virtual care to support youth with chronic pain and their families. No existing guidelines for virtual care for pediatric chronic pain were identified; however, best practices for virtual care were identified and should be used by health professionals, decision makers, and policymakers in implementing virtual care.

Implementation of the Uniformed Services University Pain Registry Biobank: A Military and Veteran Population Focused Biobank and Registry

OBJECTIVE

The objective of this overview is to discuss the development, implementation, data content, and structure of the Uniformed Services University Pain Registry Biobank. Additionally, procedures and policies for accessing samples for pain-related research purposes are detailed.

DESIGN

Cross-sectional overview.

SETTING

Multiple military treatment facilities.

SUBJECTS

Adult beneficiaries seeking care within the Military Health System.

METHODS

Participants complete a baseline battery of biopsychosocial survey measures, including PROMIS® measures, provide biologic samples (e.g. blood and saliva), and relevant health history, including medications and surgical history, is extracted from medical records. During the course of the next year, enrolled participants complete surveys and provide biologic samples at 3-months, 6-months, and 12-months. Thereafter, participants are contacted once annually to complete self-reported assessments and provide biologic samples.

RESULTS

In the first year alone 86 subjects have participated in the Uniformed Services University Pain Registry Biobank and provided 390 observations (e.g. biological samples and biopsychosocial patient-reported outcomes). The Uniformed Services University Pain Registry Biobank's integration of biological samples, patient-reported outcomes, and health record data over a longitudinal period across a diverse sample recruited from multiple military facilities addresses many of the limitations faced by other pain-related registries or biorepositories.

CONCLUSIONS

The Uniformed Services University Pain Registry Biobank will serve as a platform for conducting research closely aligned with the Federal Pain Research Strategy. The inclusion of active duty service members, beneficiaries, and civilians living with and without acute or chronic pain provides a unique data repository for all investigators interested in advancing pain science.

A maturity grid assessment tool for learning networks

BACKGROUND

The vision of learning healthcare systems (LHSs) is attractive as a more effective model for health care services, but achieving the vision is complex. There is limited literature describing the processes needed to construct such multicomponent systems or to assess development.

METHODS

We used the concept of a capability maturity matrix to describe the maturation of necessary infrastructure and processes to create learning networks (LNs), multisite collaborative LHSs that use an actor-oriented network organizational architecture. We developed a network maturity grid (NMG) assessment tool by incorporating information from literature review, content theory from existing networks, and expert opinion to establish domains and components. We refined the maturity grid in response to feedback from network leadership teams. We followed NMG scores over time for nine LNs and plotted scores for each domain component with respect to SD for one participating network. We sought subjective feedback on the experience of applying the NMG to individual networks.

RESULTS

LN leaders evaluated the scope, depth, and applicability of the NMG to their networks. Qualitative feedback from network leaders indicated that changes in NMG scores over time aligned with leaders' reports about growth in specific domains; changes in scores were consistent with network efforts to improve in various areas. Scores over time showed differences in maturation in the individual domains of each network. Scoring patterns, and SD for domain component scores, indicated consistency among LN leaders in some but not all aspects of network maturity. A case example from a participating network highlighted the value of the NMG in prompting strategic discussions about network development and demonstrated that the process of using the tool was itself valuable.

CONCLUSIONS

The capability maturity grid proposed here provides a framework to help those interested in creating Learning Health Networks plan and develop them over time.

Learning health systems using data to drive healthcare improvement and impact: a systematic review

Background

The transition to electronic health records offers the potential for big data to drive the next frontier in healthcare improvement. Yet there are multiple barriers to harnessing the power of data. The Learning Health System (LHS) has emerged as a model to overcome these barriers, yet there remains limited evidence of impact on delivery or outcomes of healthcare.

Objective

To gather evidence on the effects of LHS data hubs or aligned models that use data to deliver healthcare improvement and impact. Any reported impact on the process, delivery or outcomes of healthcare was captured.

Methods

Systematic review from CINAHL, EMBASE, MEDLINE, Medline in-process and Web of Science PubMed databases, using learning health system, data hub, data-driven, ehealth, informatics, collaborations, partnerships, and translation terms. English-language, peer-reviewed literature published between January 2014 and Sept 2019 was captured, supplemented by a grey literature search. Eligibility criteria included studies of LHS data hubs that reported research translation leading to health impact.

Results

Overall, 1076 titles were identified, with 43 eligible studies, across 23 LHS environments. Most LHS environments were in the United States (n = 18) with others in Canada, UK, Sweden and Australia/NZ. Five (21.7%) produced medium-high level of evidence, which were peer-reviewed publications.

Conclusions

LHS environments are producing impact across multiple continents and settings.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12913-021-06215-8.

Clinical Correlates of Opioid Prescription Among Pediatric Patients With Chronic Pain

INTRODUCTION

Up to 17%-20% of pediatric patients with chronic pain are prescribed opioid pharmacotherapy and face an increased risk of opioid misuse in adulthood. Little is known about the way clinical presentation may influence which children with chronic pain are prescribed opioids. This study examines the associations between child's and caregiver's report of child's pain, physical function, and socioemotional indices with opioid prescriptions in pediatric patients initiating treatment for chronic pain.

METHODS

Participants were 1,155 pediatric patients (71.26% female, n=823) aged 8-17 years and 1 of their caregivers (89% mothers) who presented for evaluation at a tertiary care pediatric pain clinic. Data were collected from 2015 to 2019 and analyzed in 2020.

RESULTS

Binary logistic regression analyses investigated the relative contribution of child's demographic, pain, and Patient-Reported Outcome Measurement Information System measures to opioid prescription status; separate models were conducted for child's and caregiver's report. Across child and caregiver models, findings were that child's age (older), pain duration (longer; child's report only), and increased physical limitations (mobility challenges and pain interference; caregiver's report only) were the most salient clinical correlates of positive opioid status. Contrary to the existing literature on adults with chronic pain, socioemotional indices (anxiety, depression, peer functioning) were nonsignificant.

CONCLUSIONS

A greater understanding of how clinical presentation may relate to prescribed opioid pharmacotherapy informs the field's conceptualization of the sequelae of opioid use and misuse in the context of pediatric chronic pain.

Stanford Pragmatiec Effectiveness Comparison (SPEC) protocol: Comparing long-term effectiveness of high-frequency and burst spinal cord stimulation in real-world application

OBJECTIVES

High-frequency and burst stimulation are newer waveforms that have demonstrated promise compared to traditional tonic spinal cord stimulation (SCS), but more studies are needed to compare their effectiveness. We report the study methods for an ongoing, single center, pragmatic randomized clinical trial to compare the effectiveness of high-frequency and burst SCS in patients with chronic back and/or leg pain.

MATERIALS AND METHODS

Participants who are candidates for spinal cord stimulation are enrolled and screened. Participants will be randomly assigned using point-of-care randomization to receive either high-frequency or burst SCS. Data collection will be through Stanford Pain Management Center's learning healthcare system: CHOIR. CHOIR surveys include National Institutes of Health Patient Reported Outcomes Measurement Information System item banks, a body map, questions about pain intensity, pain catastrophizing scale, and questions about patients' pain experience and healthcare utilization. Participants will complete online surveys at baseline and then 1, 3, 6, 12, 18, 24 and 36 months after their device implant. All participants will use our routine process of trial and implant. Reported adverse events are monitored throughout the study. Our primary outcome is change from baseline in pain intensity at 12 months.

RESULTS

We hypothesize that high-frequency SCS is more effective than burst SCS in improving pain, physical function and pain interference in participants with chronic low back and/or leg pain.

CONCLUSIONS

The pragmatic nature of our proposed trial enables us to recruit a larger participant cohort faster and to follow up these participants longer than currently published clinical trials.

Rapid identification and clinical indices of fear-avoidance in youth with chronic pain

Pain-related fear and avoidance are increasingly demonstrated to play an important role in adult and childhood chronic pain. The Fear of Pain Questionnaire for Children (FOPQC) is a 24-item measure of pain-related fear-avoidance in youth that has demonstrated good indices of reliability and validity, treatment responsiveness, and associations with brain circuitry alterations. This study describes the development and psychometric examination of the FOPQC-SF, a short form of the original measure. We selected 10 items for the short form that best represented the content and 2-factor (fear and avoidance) structure of the original measure from a cohort of 613 youth (Mage = 14.7 years) with chronic pain. Next, confirmatory factor analyses from a second sample of 526 youth (Mage = 14.7 years) with chronic pain who completed the FOPQC-SF supported the original 2-factor model but indicated that one item should be moved to the avoidance subscale. The FOPQC-SF demonstrates strong internal consistency and moderate-to-strong construct and criterion validity. The 3-month test-retest reliability estimates (N = 94) were strong, and there was preliminary evidence of responsivity to change. To aid integration into intervention trials and clinical practice, we provide clinical reference points and a criterion to assess reliable change. The short form could be used for rapid identification of pain-related fear and avoidance in youth during clinic evaluations, and is optimized for clinical registries.

Modeling Complex Orthopedic Trauma in Rodents: Bone, Muscle and Nerve Injury and Healing

Orthopedic injury can occur from a variety of causes including motor vehicle collision, battlefield injuries or even falls from standing. Persistent limb pain is common after orthopedic injury or surgery and presents a unique challenge, as the initiating event may result in polytrauma to bone, muscle, and peripheral nerves. It is imperative that we understand the tissue-specific and multicellular response to this unique type of injury in order to best develop targeted treatments that improve healing and regeneration. In this Mini Review we will first discuss current rodent models of orthopedic trauma/complex orthotrauma. In the second section, we will focus on bone-specific outcomes including imaging modalities, biomechanical testing and immunostaining for markers of bone healing/turnover. In the third section, we will discuss muscle-related pathology including outcome measures of fibrosis, muscle regeneration and tensile strength measurements. In the fourth section, we will discuss nervous system-related pathology including outcome measures of pain-like responses, both reflexive and non-reflexive. In all sections we will consider parallels between preclinical outcome measures and the functional and mechanistic findings of the human condition.

Development and validation of the Collaborative Health Outcomes Information Registry body map

Supplemental Digital Content is Available in the Text.

Introduction:

Critical for the diagnosis and treatment of chronic pain is the anatomical distribution of pain. Several body maps allow patients to indicate pain areas on paper; however, each has its limitations.

Objectives:

To provide a comprehensive body map that can be universally applied across pain conditions, we developed the electronic Collaborative Health Outcomes Information Registry (CHOIR) self-report body map by performing an environmental scan and assessing existing body maps.

Methods:

After initial validation using a Delphi technique, we compared (1) pain location questionnaire responses of 530 participants with chronic pain with (2) their pain endorsements on the CHOIR body map (CBM) graphic. A subset of participants (n = 278) repeated the survey 1 week later to assess test–retest reliability. Finally, we interviewed a patient cohort from a tertiary pain management clinic (n = 28) to identify reasons for endorsement discordances.

Results:

The intraclass correlation coefficient between the total number of body areas endorsed on the survey and those from the body map was 0.86 and improved to 0.93 at follow-up. The intraclass correlation coefficient of the 2 body map graphics separated by 1 week was 0.93. Further examination demonstrated high consistency between the questionnaire and CBM graphic (<10% discordance) in most body areas except for the back and shoulders (≈15–19% discordance). Participants attributed inconsistencies to misinterpretation of body regions and laterality, the latter of which was addressed by modifying the instructions.

Conclusions:

Our data suggest that the CBM is a valid and reliable instrument for assessing the distribution of pain.

What is the future of patient-reported outcomes in sickle-cell disease?

INTRODUCTION

Sickle cell disease (SCD) is a complex, chronic disease caused by abnormal polymerization of hemoglobin, which leads to severe pain episodes, fatigue, and end-organ damage. Patient reported outcomes (PROs) have emerged as a critical tool for measuring SCD disease severity and response to treatment.

AREAS COVERED

Authors review the key issues involved when deciding to use a PRO in a clinical trial. We describe the most highly recommended generic and disease-specific PRO tools in SCD and discuss the challenges of incorporating them in clinical practice.

EXPERT OPINION

PRO measures are essential to incorporate into SCD clinical trials either as primary or secondary outcomes. The use of PRO measures in SCD facilitates a patient-centered approach, which is likely to lead to improved outcomes. Significant challenges remain in adapting PRO tools to routine clinical use and in developing countries.

Baseline Characteristics of a Dyadic Cohort of Mothers With Chronic Pain and Their Children

OBJECTIVES

A growing body of research has demonstrated a robust link between parental chronic pain and child pain and psychological function. Although the association between parent and child pain is strong, there are limited data to understand environmental and behavioral processes that account for the association and how this develops over time. This longitudinal cohort study was designed to understand the potential mechanisms that confer risk or resilience for chronic pain among child offspring of mothers with chronic pain.

METHODS

The current paper presents baseline data on the cohort to describe the pain and psychosocial characteristics of mothers with chronic pain and their 8- to 12-year-old children. A total of 400 mothers with chronic pain and their children were enrolled into the longitudinal study and completed measures of pain, physical, and psychosocial functioning.

RESULTS

Mothers reported a range of pain and pain-related disability and were grouped into 4 pain grades (PGs) representing different pain and disability levels. Mothers in these groups differed on rates of widespread pain and opioid use. Maternal PGs also differed by physical function, fatigue, sleep disturbance, and psychological function. Most children in this sample reported pain and psychosocial symptoms in the nonclinical range, and child variables did not differ by maternal PG. Maternal disability and function were concurrently associated with child psychosocial function.

DISCUSSION

While maternal PGs map broadly onto several dimensions of maternal functioning, they were not significantly related to child pain or function. Results may help identify potential protective factors in the intergenerational transmission of risk for chronic pain.

The three numbers you need to know about healthcare: the 60-30-10 Challenge

BACKGROUND

Healthcare represents a paradox. While change is everywhere, performance has flatlined: 60% of care on average is in line with evidence- or consensus-based guidelines, 30% is some form of waste or of low value, and 10% is harm. The 60-30-10 Challenge has persisted for three decades.

MAIN BODY

Current top-down or chain-logic strategies to address this problem, based essentially on linear models of change and relying on policies, hierarchies, and standardisation, have proven insufficient. Instead, we need to marry ideas drawn from complexity science and continuous improvement with proposals for creating a deep learning health system. This dynamic learning model has the potential to assemble relevant information including patients' histories, and clinical, patient, laboratory, and cost data for improved decision-making in real time, or close to real time. If we get it right, the learning health system will contribute to care being more evidence-based and less wasteful and harmful. It will need a purpose-designed digital backbone and infrastructure, apply artificial intelligence to support diagnosis and treatment options, harness genomic and other new data types, and create informed discussions of options between patients, families, and clinicians. While there will be many variants of the model, learning health systems will need to spread, and be encouraged to do so, principally through diffusion of innovation models and local adaptations.

CONCLUSION

Deep learning systems can enable us to better exploit expanding health datasets including traditional and newer forms of big and smaller-scale data, e.g. genomics and cost information, and incorporate patient preferences into decision-making. As we envisage it, a deep learning system will support healthcare's desire to continually improve, and make gains on the 60-30-10 dimensions. All modern health systems are awash with data, but it is only recently that we have been able to bring this together, operationalised, and turned into useful information by which to make more intelligent, timely decisions than in the past.

Topical Review: Enhancing Understanding of the Clinical Meaningfulness of Outcomes to Assess Treatment Benefit from Psychological Therapies for Children with Chronic Pain

OBJECTIVE

Despite the availability of measures for assessing physical, psychological, and health impact in children with chronic pain, there are not established guidelines for interpretation of children's pain outcomes following psychological treatment. The purpose of this topical review is to discuss clinical significance as a neglected area of consideration in pediatric chronic pain assessment and to make recommendations on how the field can move toward benchmarking on core outcome domains.

METHOD

We review definitions of clinical significance and examples of several methodologies that have been used in other populations or are emerging in pediatric chronic pain including anchor-based methods, distribution-based methods, or multimethod approaches.

RESULTS

Few measures across pediatric chronic pain outcome domains have established clinical significance of scores to interpret meaningful change following treatment limiting the interpretability of findings from clinical trials. In the context of clinical practice, several efforts to examine clinical significance to improve the translation of evidence-based measurement into standard clinical decision-making exist.

CONCLUSIONS

Recommendations are provided to encourage additional validation efforts of outcome measures in pediatric chronic pain and to encourage authors to report clinical significance in clinical trials of psychological interventions for pediatric chronic pain.