Demographic and Clinical Differences Between Applied Definitions of Medical Complexity

Healthcare service use for children with chronic complex diseases: A longitudinal six-year follow-up study

PURPOSE

The objective was analysed the patterns use of healthcare services of this population and the influence of their clinical and sociodemographic characteristics.

DESIGN AND METHODS

A six-year longitudinal follow-up study was performed to evaluate the annual healthcare resources use and clinical data among children with complex chronic diseases in Spain between 2015 and 2021. The sample trends in healthcare usage and the associated factors were analysed using ANCOVA and multivariable linear regression models.

RESULTS

Patients had high attendance during the follow-up period, with >15 episodes year. This trend decreased over time, especially in children with oncological diseases compared with other diseases (F (16.75; 825.4) = 32.457; p < 0.001). A multivariable model showed that children with a greater number of comorbidities (β = 0.17), shorter survival time (β = -0.23), who had contact with the palliative care unit (β = 0.16), and whose mothers had a higher professional occupation (β = 0.14), had a greater use of the healthcare system.

CONCLUSIONS

Children with a higher number of comorbidities and the use of medical devices made a greater frequentation of health services, showing a trend of decreasing use over time. Socioeconomic factors such as mothers' occupational status determine healthcare frequentation. These results suggest the existence of persistent gaps in care coordination sustained over time.

PRACTICAL IMPLICATIONS

Systematized and coordinated models of care for this population should consider the presence of inequalities in health care use.

A gap in the data: Defining, identifying, and tracking children with medical complexity in the child welfare system

BACKGROUND

Among nearly 400,000 children in US foster care, an estimated 10 % are medically complex. Yet, population-level data about children with medical complexity (CMC) served by the child welfare system, both for prevention and foster care services, are largely unavailable.

OBJECTIVE

To understand how US child welfare agencies define, identify, and track CMC.

PARTICIPANTS AND SETTING

Child welfare agencies across the US.

METHODS

Agencies were recruited to complete a survey as part of a larger study exploring how CMC are served by the child welfare system. Survey responses related to defining, identifying, and tracking CMC were included in analysis. Descriptive statistical analysis was conducted with Stata. Qualitative content and thematic analysis were applied to free text responses.

RESULTS

Surveys were completed by agencies from 28 states and 2 major cities. Nearly half of the agencies did not have a clear definition to identify CMC; those that did have a definition often lacked standardization. The majority of agencies could not easily identify CMC or access CMC-related data within data systems. Agencies described lack of a clear definition as a barrier to collecting population level data.

CONCLUSIONS

Many US child welfare agencies lack a clear definition to identify and track CMC, impacting the ability to tailor care and service delivery to meet their unique needs. To address this, a clear definition for CMC should be developed and consistently applied within child welfare data systems. Once CMC are identifiable, future research can collect population-level data and provide recommendations for best practices and policies.

Comparing two definitions of pediatric complexity among children cared for in general and pediatric emergency departments in a statewide sample

Objective

The number of children cared for in emergency departments (EDs) with medical complexity continues to rise. We sought to identify the concordance between 2 commonly used criteria of medical complexity among children presenting to a statewide sample of EDs.

Methods

We conducted a retrospective cross-sectional study of children presenting to a statewide sample of Illinois EDs between 2016 and 2021. We classified patients as having medical complexity when using 2 definitions (≥1 pediatric Complex Chronic Condition [CCC] or complex chronic disease using the Pediatric Medical Complexity Algorithm [PMCA]) and compared their overlap and clinical outcomes.

Results

Of 6,550,296 pediatric ED encounters, CCC criteria and PMCA criteria were met in 217,609 (3.3%) and 175,708 (2.7%) encounters, respectively. Among patients with complexity, 100,015 (34.1%) met both criteria, with moderate agreement (κ = 0.49). Children with complexity by CCC had similar rates of presentation to a pediatric hospital (16.3% vs 14.8%), admission (28.5% vs 33.7%), ICU stay (10.0% vs 10.1%), and in-hospital mortality (0.5% vs 0.5%) compared to children with complexity by PMCA. The most common visit diagnoses for children with CCCs were related to sickle cell disease with crisis (3.9%), abdominal pain (3.6%), and non-specific chest pain (2.7%). The most common diagnoses by PMCA were related to depressive disorders (4.9%), sickle cell disease with crisis (4.8%), and seizures (3.2%).

Conclusions and Relevance

The CCC and PMCA criteria of multisystem complexity identified different populations, with moderate agreement. Careful selection of operational definitions is required for proper application and interpretation in clinical and health services research.

Variable Identification of Children With Medical Complexity in United States PICUs

OBJECTIVES

Children with medical complexity are at increased risk for critical illness and adverse outcomes. However, there is currently no consensus definition of medical complexity in pediatric critical care research.

DESIGN

Retrospective, cross-sectional cohort study.

SETTING

One hundred thirty-one U.S. PICUs participating in the Virtual Pediatric Systems Database.

SUBJECTS

Children less than 21 years old admitted from 2017 to 2019. Multisystem complexity was identified on the basis of two common definitions of medical complexity, Pediatric Complex Chronic Conditions (CCC), greater than or equal to 2 qualifying diagnoses, and Pediatric Medical Complexity Algorithm (PMCA), complex chronic disease.

INTERVENTIONS

None.

MEASUREMENTS AND MAIN RESULTS

Of 291,583 index PICU admissions, 226,430 (77.7%) met at least one definition of multisystem complexity, including 168,332 patients identified by CCC and 201,537 by PMCA. Of these, 143,439 (63.3%) were identified by both definitions. Cohen kappa was 0.39, indicating only fair agreement between definitions. Children identified by CCC were younger and were less frequently scheduled admissions and discharged home from the ICU than PMCA. The most common reason for admission was respiratory in both groups, although this represented a larger proportion of CCC patients. ICU and hospital length of stay were longer for patients identified by CCC. No difference in median severity of illness scoring was identified between definitions, but CCC patients had higher inhospital mortality. Readmission to the ICU in the subsequent year was seen in approximately one-fifth of patients in either group.

CONCLUSIONS

Commonly used definitions of medical complexity identified distinct populations of children with multisystem complexity in the PICU with only fair agreement.