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

Prognostic factors for pain and functional disability in children and adolescents with persisting pain: A systematic review and meta-analysis

BACKGROUND AND OBJECTIVE

The aim of this study was to investigate prognostic factors for pain and functional disability in children and/or adolescents with persisting pain.

DATABASES AND DATA TREATMENT

To be included, studies had to be published, peer-reviewed prospective cohort studies of children and/or adolescents with persisting pain at baseline, that reported at least one baseline prognostic factor and its relationship with pain or functional disability at least 1 month after baseline. Two reviewers independently assessed study eligibility, completed data extraction and undertook quality assessment. Meta-analyses were performed when a prognostic factor was reported in two or more studies.

RESULTS

Of 10,992 studies identified from electronic database searches, 18 were included, investigating 62 potential prognostic factors. In clinical settings, insufficient data were available for meta-analysis. Some positive associations with pain and/or disability were reported by single studies for older age, baseline pain intensity and baseline functional disability across multiple combinations of follow-up times and outcomes. In community settings, meta-analyses of two studies found that prognostic factors for the ongoing presence of pain at medium-term (1-year) follow-up were older age (OR 1.25; 95% CI = 1.05-1.47), weekly day tiredness (OR 1.69; 95% CI = 1.14-2.51), weekly abdominal pain (OR 1.44; 95% CI = 1.03-2.02) and waking during the night (OR 1.49; 95% CI = 1.05-2.13). No studies in community settings reported on prognostic factors for functional disability.

CONCLUSIONS

Prognostic factors having significant associations with future pain and disability were identified; however, as few were investigated in more than one comparable study, the results need to be interpreted with caution.

SIGNIFICANCE

Prognostic factors from across the biopsychosocial spectrum are important to consider in paediatric pain clinical practice. However, most prognostic factors that experts have previously agreed upon have not been assessed in prospective cohort studies to date. The findings may help with prioritising data to collect during clinical assessments of children presenting with pain, in the context of pain and functional disability outcomes.

Risk and Resilience in Pediatric Pain: The Roles of Parent and Adolescent Catastrophizing and Acceptance

OBJECTIVES

Both pediatric and parent pain catastrophizing and pain acceptance are key factors associated with pediatric pain outcomes; however, the interactive effects of these factors within the parent-child dyad have yet to be tested. The aims of this study were to examine: (1) the mediating role of child catastrophizing between parent catastrophizing and child outcomes (pain interference and mobility), (2) the mediating role of child acceptance between parent acceptance and child outcomes, and (3) whether child acceptance buffers the relation between parent catastrophizing and child catastrophizing, which in turn impacts child outcomes.

MATERIALS AND METHODS

Cross-sectional data from 324 youth with chronic pain ages 10 to 17 years (mean age=14.72, [SD=2.12]; 73.1% female; 59% Caucasian) and their parents were collected. Participants completed measures assessing pediatric Patient-Reported Outcome Measurement Information System (PROMIS) domains (mobility and pain interference), pain catastrophizing, pain acceptance, and child pain intensity. Mediation was conducted via 1000-draw bootstrap-adjusted analyses in Mplus.

RESULTS

Parent pain catastrophizing was indirectly associated with child pain interference via child catastrophizing but was not associated with mobility difficulties in the mediation model. Parent pain acceptance was indirectly associated with both child pain interference and mobility via child acceptance. We did not find evidence of child acceptance-buffering parent and child pain catastrophizing.

DISCUSSION

The findings of this study highlight the need for caregiver involvement in multidisciplinary treatments to mitigate risk and enhance resilience in youth with chronic pain.

A framework for analysing learning health systems: Are we removing the most impactful barriers?

INTRODUCTION

Learning health systems (LHS) are one of the major computing advances in health care. However, no prior research has systematically analysed barriers and facilitators for LHS. This paper presents an investigation into the barriers, benefits, and facilitating factors for LHS in order to create a basis for their successful implementation and adoption.

METHODS

First, the ITPOSMO-BBF framework was developed based on the established ITPOSMO (information, technology, processes, objectives, staffing, management, and other factors) framework, extending it for analysing barriers, benefits, and facilitators. Second, the new framework was applied to LHS.

RESULTS

We found that LHS shares similar barriers and facilitators with electronic health records (EHR); in particular, most facilitator effort in implementing EHR and LHS goes towards barriers categorised as human factors, even though they were seen to carry fewer benefits. Barriers whose resolution would bring significant benefits in safety, quality, and health outcomes remain.LHS envisage constant generation of new clinical knowledge and practice based on the central role of collections of EHR. Once LHS are constructed and operational, they trigger new data streams into the EHR. So LHS and EHR have a symbiotic relationship. The implementation and adoption of EHRs have proved and continues to prove challenging, and there are many lessons for LHS arising from these challenges.

CONCLUSIONS

Successful adoption of LHS should take account of the framework proposed in this paper, especially with respect to its focus on removing barriers that have the most impact.

A framework for value-creating learning health systems

BACKGROUND

Interest in value-based healthcare, generally defined as providing better care at lower cost, has grown worldwide, and learning health systems (LHSs) have been proposed as a key strategy for improving value in healthcare. LHSs are emerging around the world and aim to leverage advancements in science, technology and practice to improve health system performance at lower cost. However, there remains much uncertainty around the implementation of LHSs and the distinctive features of these systems. This paper presents a conceptual framework that has been developed in Canada to support the implementation of value-creating LHSs.

METHODS

The framework was developed by an interdisciplinary team at the Institut national d'excellence en santé et en services sociaux (INESSS). It was informed by a scoping review of the scientific and grey literature on LHSs, regular team discussions over a 14-month period, and consultations with Canadian and international experts.

RESULTS

The framework describes four elements that characterise LHSs, namely (1) core values, (2) pillars and accelerators, (3) processes and (4) outcomes. LHSs embody certain core values, including an emphasis on participatory leadership, inclusiveness, scientific rigour and person-centredness. In addition, values such as equity and solidarity should also guide LHSs and are particularly relevant in countries like Canada. LHS pillars are the infrastructure and resources supporting the LHS, whereas accelerators are those specific structures that enable more rapid learning and improvement. For LHSs to create value, such infrastructures must not only exist within the ecosystem but also be connected and aligned with the LHSs' strategic goals. These pillars support the execution, routinisation and acceleration of learning cycles, which are the fundamental processes of LHSs. The main outcome sought by executing learning cycles is the creation of value, which we define as the striking of a more optimal balance of impacts on patient and provider experience, population health and health system costs.

CONCLUSIONS

Our framework illustrates how the distinctive structures, processes and outcomes of LHSs tie together with the aim of optimising health system performance and delivering greater value in health systems.

Evaluating the psychometric properties of the Widespread Pain Index and the Symptom Severity scale in youth with painful conditions

Background

Assessing features of centralized pain may prove to be clinically meaningful in pediatric populations. However, we are currently limited by the lack of validated pediatric measures.

Aim

We examined the psychometric properties of the Widespread Pain Index (WPI) and Symptom Severity (SS) scale, to assess features of centralized pain, in youth with painful conditions from three clinical samples: (1) musculoskeletal surgery, (2) headache, and (3) chronic pain.

Methods

Participants were 240 youth aged 10-18 years (Mage=14.8, SD=1.9) who completed the WPI and SS scale. Subsets of participants also completed additional measures of pain region, pain intensity, quality of life, pain interference and physical function.

Results

Increased features of centralized pain by age were seen for the WPI (r=0.27, p<0.01) and SS scale (r=0.29, p<0.01). Expected differences in sex were seen for the WPI (sex:t₁₃₂=-3.62, p<0.01), but not the SS scale (sex:t₂₂₃=-1.73, p=0.09). Reliability for the SS scale was adequate (α=.70). Construct validity was demonstrated through relationships between the WPI and pain regions (r=.57, p<0.01), and between the SS scale and quality of life (r=-.59, p<0.01) and pain interference (r=.56, p<0.01). Criterion validity was demonstrated by differences on the WPI between the surgery sample and the headache and chronic pain samples (F_2,237=17.55, p<0.001). Comprehension of the SS scale items was problematic for some youth.

Conclusions

The WPI showed adequate psychometric properties in youth; however the SS scale may need to be modified. Our findings support the need to develop psychometrically sound instruments for comprehensive assessment of pain in pediatric samples.

Implementation Challenges Using a Novel Method for Collecting Patient-Reported Outcomes After Injury

BACKGROUND

Monitoring longitudinal patient-reported outcomes after injury is important for comprehensive trauma care. Current methodologies are resource-intensive and struggle to engage patients.

MATERIALS AND METHODS

Patients ≥18 y old admitted to the trauma service were prospectively enrolled. The following inclusion criteria were used: emergency operation, ICU length of stay ≥2 midnights, or hospital length of stay ≥4 d. Validated and customized questionnaires were administered using a novel internet-based survey platform. Three-month follow-up surveys were administered. Contextual field notes regarding barriers to enrollment/completion of surveys and challenges faced by participants were recorded.

RESULTS

Forty-seven patients were eligible; 26 of 47 (55%) enrolled and 19 of 26 (73%) completed initial surveys. The final sample included 14 (74%) men and 5 (26%) women. Primary barriers to enrollment included technological constraints and declined participation. Contextual field notes revealed three major issues: competing hospital tasks, problems with technology, and poor engagement. The average survey completion time was 43 ± 27 min-21% found this too long. Seventy-four percent reported the system "easy to use" and 95% reported they would "very likely" or "definitely" respond to future surveys. However, 10 of 26 (38%) patients completed 3-mo follow-up.

CONCLUSIONS

Despite a well-rated internet-based survey platform, study participation remained challenging. Lack of email access and technological issues decreased enrollment and the busy hospitalization posed barriers to completion. Despite a thoughtful operational design and implementation plan, the trauma population presented a challenging group to engage. Next steps will focus on optimizing engagement, broadening access to survey reminders, and enhancing integration into clinical workflows.

Catastrophizing, pain, and functional outcomes for children with chronic pain: a meta-analytic review

Pediatric chronic pain is associated with numerous negative outcomes including increased physical disability, increased rates of depression and anxiety, and decreased quality of life (QOL). Pain catastrophizing-broadly conceptualized as including rumination, magnification, and helplessness cognitions surrounding one's pain-has been linked with poor functional outcomes in children with chronic pain. Pain catastrophizing in pediatric chronic pain is often considered a key factor on which to focus treatment efforts. However, absent a systematic review that integrates the relevant literature, this call for routine assessment and targeted treatment may be premature. This study aimed to: (1) meta-analytically quantify the relationship between catastrophizing and pain and functional/psychosocial outcomes (functional disability/physical functioning, anxiety, depression, and QOL) in children with chronic pain, and (2) examine potential moderators of these relationships. Using a random-effects model, a total of 111 effect sizes from 38 studies were analyzed. Effect sizes ranged from medium to large, with anxiety, depression, and QOL demonstrating a strong association with catastrophizing. Pain intensity and physical disability had a moderate association with catastrophizing. These relationships were robust, minimizing potential publication bias. None of the examined moderators were significant. The strong relationships found between catastrophizing and anxiety, depression, and QOL suggest that successfully intervening on catastrophizing could have far reaching implications in improving pain outcomes in pediatric chronic pain.

A narrative review of data collection and analysis guidelines for comparative effectiveness research in chronic pain using patient-reported outcomes and electronic health records

Chronic pain is a widespread and complex set of conditions that are often difficult and expensive to treat. Comparative effectiveness research (CER) is an evolving research method that is useful in determining which treatments are most effective for medical conditions such as chronic pain. An underutilized mechanism for conducting CER in pain medicine involves combining patient-reported outcomes (PROs) with electronic health records (EHRs). Patient-reported pain and mental and physical health outcomes are increasingly collected during clinic visits, and these data can be linked to EHR data that are relevant to the treatment of a patient's pain, such as diagnoses, medications ordered, and medical comorbidities. When aggregated, this information forms a data repository that can be used for high-quality CER. This review provides a blueprint for conducting CER using PROs combined with EHRs. As an example, the University of Pittsburgh's patient outcomes repository for treatment is described. This system includes PROs collected via the Collaborative Health Outcomes Information Registry software and cross-linked data from the University of Pittsburgh Medical Center EHR. The requirements, best practice guidelines, statistical considerations, and caveats for performing CER with this type of data repository are also discussed.

The Heimdall Framework for Supporting Characterisation of Learning Health Systems

BACKGROUND

Learning Health Systems (LHS) can focus population medicine and Evidence Based Practice; smart technology delivering the next generation of improved healthcare described as Precision Medicine, and yet researchers in the LHS domain presently lack the ability to recognise their relevant works as falling within this domain.

OBJECTIVE

To review LHS literature and develop a framework describing the domain that can be used as a tool to analyse the literature and support researchers to identify health informatics investigations as falling with the domain of LHS.

METHOD

A scoping review is used to identify literature on which analysis was performed. This resolved the ontology and framework. The ontology was applied to quantify the distribution of classifications of LHS solutions. The framework was used to analyse and characterise the various works within the body of LHS literature.

RESULTS

The ontology and framework developed was shown to be easily applicable to the literature, consistently describing and representing the goals, intentions and solutions of each LHS investigation in the literature. More proposed or potential solutions are described in the literature than implemented LHS. This suggests immaturity in the domain and points to the existence of barriers preventing LHS realisation.

CONCLUSION

The lack of an ontology and framework may have been one of the causes for the failure to describe research works as falling within the LHS domain. Using our ontology and framework, LHS research works could be easily classified, demonstrating the comprehensiveness of our approach in contrast to earlier efforts.

Architectural frameworks: defining the structures for implementing learning health systems

Background

The vision of transforming health systems into learning health systems (LHSs) that rapidly and continuously transform knowledge into improved health outcomes at lower cost is generating increased interest in government agencies, health organizations, and health research communities. While existing initiatives demonstrate that different approaches can succeed in making the LHS vision a reality, they are too varied in their goals, focus, and scale to be reproduced without undue effort. Indeed, the structures necessary to effectively design and implement LHSs on a larger scale are lacking. In this paper, we propose the use of architectural frameworks to develop LHSs that adhere to a recognized vision while being adapted to their specific organizational context. Architectural frameworks are high-level descriptions of an organization as a system; they capture the structure of its main components at varied levels, the interrelationships among these components, and the principles that guide their evolution. Because these frameworks support the analysis of LHSs and allow their outcomes to be simulated, they act as pre-implementation decision-support tools that identify potential barriers and enablers of system development. They thus increase the chances of successful LHS deployment.

Discussion

We present an architectural framework for LHSs that incorporates five dimensions—goals, scientific, social, technical, and ethical—commonly found in the LHS literature. The proposed architectural framework is comprised of six decision layers that model these dimensions. The performance layer models goals, the scientific layer models the scientific dimension, the organizational layer models the social dimension, the data layer and information technology layer model the technical dimension, and the ethics and security layer models the ethical dimension. We describe the types of decisions that must be made within each layer and identify methods to support decision-making.

Conclusion

In this paper, we outline a high-level architectural framework grounded in conceptual and empirical LHS literature. Applying this architectural framework can guide the development and implementation of new LHSs and the evolution of existing ones, as it allows for clear and critical understanding of the types of decisions that underlie LHS operations. Further research is required to assess and refine its generalizability and methods.

The Effect of Pain Catastrophizing on Outcomes: A Developmental Perspective Across Children, Adolescents, and Young Adults With Chronic Pain

Pain catastrophizing is one of the most powerful predictors of poor outcomes in youth and adults with pain; however, little is known about differential effects of pain catastrophizing on outcomes as a function of age. The current study examined the predictive value of pain catastrophizing on pain interference and pain intensity across children, adolescents, and 2 age groups of young adults with chronic pain. Cross-sectional data are presented from the adult and pediatric Collaborative Health Outcomes Information Registry (CHOIR), including measures of pain catastrophizing, pain intensity, pain interference, and emotional distress from 1,028 individuals with chronic pain. Results revealed that age moderated the relation between pain catastrophizing and pain interference, with the strength of these effects declining with age. The effect of pain catastrophizing on pain interference was strongest in adolescents and relatively weak in all 3 other groups. Emotional distress was the strongest predictor of pain interference for children, whereas pain intensity was the strongest predictor for both adult groups. Pain catastrophizing was found to predict pain intensity and, although age was a significant moderator, statistical findings were weak. Developmental considerations and clinical implications regarding the utility of the construct of pain catastrophizing across age groups are discussed.

PERSPECTIVE

This article explores differences in pain catastrophizing as predictors of pain interference and pain intensity across cohorts of children, adolescents, and 2 age groups of young adults. This work may stimulate further research on chronic pain from a developmental perceptive and inform developmentally tailored treatment interventions that target catastrophizing, emotional distress, and pain intensity.