ArticlePediatrics2026
Patterns of Children With Complex Chronic Conditions: A Latent Class Analysis.
Article in Pediatrics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
1 citing paper in PubMed.
- Hospital-to-home transitions for children with medical complexity.CMAJ : Canadian Medical Association journal = journal de l'Association medicale canadienne · 2026Article
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Authors and funding
12 authors.
Funding
Abstract
objectivesThe objective of this study was to distinguish empirical classes among children with complex chronic conditions (CCCs) and to assess whether such classes can predict future health care use.
methodsWe analyzed claims data from children aged 1 to 18 years with a CCC who were continuously enrolled in a 10-state Medicaid database from 2017 to 2019. We performed a latent class analysis using demographic factors, clinical characteristics, and health care use patterns in 2017 and assessed the ability of the classes to differentiate health care spending and use in 2018 to 2019 using negative binomial and logistic regression.
resultsWe included 185 672 children with a CCC (52% male; median [IQR] age: 11 [5, 15] years). Eight indicator variables led to a 3-class solution (entropy = 0.83): Class 1 (9.1% of the cohort) was characterized by high neuro-disability, high technology dependence, and high multimorbidity; Class 2 (14.8%) had high neuro-disability and low technology dependence; and Class 3 (76.0%) had low neuro-disability and low technology dependence. Compared with children in Class 3, total spending in 2017 to 2018 was increased among both Class 1 and Class 2 (total spending rate ratio [RR] 6.9 [95% CI: 6.7-7.0] and RR 2.5 [95% CI: 2.5-2.6], respectively). The largest categories of subsequent spending were for inpatient care and outpatient specialist services among individuals in Class 1 and for outpatient drugs, outpatient specialists, and mental health for those in Class 2.
conclusionsChildren with CCCs can be categorized into meaningful classes based on readily available data with different patterns of future health care use and costs.
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