Research Review: Integrated healthcare for children and young people in secondary/tertiary care - a systematic review

Mental health clinical pathways for children and young people with long-term health conditions: A systematic review

RATIONALE

Clinical pathways (CPWs) are structured care plans that set out essential steps in the care of patients with a specific clinical problem. Amidst calls for the prioritisation of integrated mental and physical health care for young people, multidisciplinary CPWs have been proposed as a step towards closer integration. There is very limited evidence around CPWs for young people with mental and physical health needs, necessitating a review of the literature.

AIMS AND OBJECTIVES

The aim of this review is to understand how clinical pathways have been used to deliver mental health support to children and young people with long-term physical health conditions and their effectiveness across a range of outcomes.

METHODS

The databases MEDLINE, CENTRAL, PsycINFO and CINAHL were searched from inception to 6 September 2023. Keywords linked to children and young people, mental health, long-term physical health conditions and CPWs were used. Studies using either quantitative or qualitative research designs were included. All studies must have evaluated a CPW to provide mental health support to children and young people (up to 25 years old) with long-term health physical conditions. Both mental and physical health outcomes were considered. Pathways were grouped by integration 'model' as described in the wider literature.

RESULTS

The initial search returned 4082 studies after deduplication. A total of eight studies detailing six distinct care pathways (232 participants [170 children and young people; 50 caregivers; 12 healthcare professionals]) met eligibility criteria and were included in the analysis. Four pathways were conducted within an 'integrated model'; two were a combination of 'integrated' and 'colocated'; and none within a 'co-ordinated model'. Only pathways within an integrated model reported quantitative health outcomes, with improvements across a range of mental health measures. One negative physical health outcome was reported from an integrated diabetes pathway, but this should be interpreted with caution.

CONCLUSION

This review identified a range of CPW designs but most fell under an integrated model. The results suggest that calls for integrated mental health pathways in this population may be appropriate; however, conclusions are limited by a paucity of evidence.

Prevalence of Complementary Medicine Use in Children and Adolescents: A Systematic Review

INTRODUCTION

The objective of this systematic review was to determine the global prevalence of complementary medicine (CM) use among children and adolescents.

METHOD

Seven databases and the reference lists of included studies were searched for pertinent observational studies. Studies were limited to those published in English from July 1, 2013. Included studies were appraised using the JBI checklist for prevalence studies.

RESULTS

Twenty studies were eligible for inclusion (385,527 participants). Most studies were assessed as having low risk of bias. Meta-analyses revealed a 23.0% (95% confidence interval, 0.226-0.234; 17 studies) short-term (≤ 12 month) prevalence and a 77.7% (95% confidence interval, 0.760-0.794; six studies) lifetime prevalence of CM use in children and adolescents. Differences in CM use were evident across countries and regions.

DISCUSSION

The findings of this review indicate that the use of CM in children and adolescents is high and widespread and may be increasing.

Care complexity, perceptions of complexity and preferences for interprofessional collaboration: an analysis of relationships and social networks in paediatrics

BACKGROUND

In the context of increasingly intricate healthcare systems, professionals are compelled to collaborate within dynamically changing interprofessional teams. Moreover, they must adapt these collaborative processes to effectively and efficiently manage the evolving complexity of care needs. It remains unclear how professionals determine care complexity and relate this complexity to their preferences for interprofessional collaboration (IPC). This study investigated the relationships between care complexity, professionals' perceived complexity and IPC preferences, and examined the variation in individual and team characteristics of IPC-practices across different levels of complexity in paediatric care.

METHODS

In an online questionnaire, 123 healthcare professionals working at an academic tertiary children's hospital scored their perceptions of complexity and preferences for IPC. They also selected family and various professions as members of the interprofessional (IP-) team based on thirteen patient cases. We employed conjoint analysis to systematically model the complexity of case descriptions across the five domains of the International Classification of Functioning, Disability and Health (ICF). Additionally, we applied social network analysis to identify important professions, crucial connectors and influential professions in the IP-team, and to describe the cohesiveness of IP-teams.

RESULTS

Modelled case complexity, professionals' perceived complexity and IPC preferences were positively associated. We found large inter-individual variations in the degree of these associations. Social network analysis revealed that the importance and influence of professions was more equally distributed when case complexity increased. Depending on the context and complexity of the case, different professions (e.g. medical doctors, social professionals, extramural professionals) were considered to be more crucial connectors within the IP-team. Furthermore, team cohesion was positively associated with modelled and perceived care complexity.

CONCLUSIONS

In conclusion, our study contributes to the existing knowledge by integrating task-specific insights and broadening the use of conjoint and social network analysis in the context of IPC. The findings substantiate the contingency theory that relates characteristics of IPC to care complexity, offering quantified insights into how IP-teams adapt to situational needs. This understanding of relationships and variations within IPC holds crucial implications for designing targeted interventions in both clinical and health profession education contexts. Consequently, it contributes to advancements in healthcare systems.