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Pediatric Complex Chronic Conditions: Does the Classification System Work for Infants?
- Source :
-
The American journal of hospice & palliative care [Am J Hosp Palliat Care] 2019 Oct; Vol. 36 (10), pp. 858-863. Date of Electronic Publication: 2019 Apr 03. - Publication Year :
- 2019
-
Abstract
- Background: One widely accepted approach to identify children with life-limiting health problems is the complex chronic conditions (CCCs) classification system. Although considered the "gold standard" for classifying children with serious illness, little is known about its performance, especially among infants.<br />Objective/hypothesis: This research examined the prevalence of CCCs and the infant characteristics related to a CCC classification.<br />Methods: Multivariate regression analysis was conducted with 2012 Kids' Inpatient Database, Healthcare Cost and Utilization Project data files, using a national sample of infant decedents less than 1 year.<br />Results: Our findings showed that 40% of the infants were classified with a CCC. African Americans were negatively associated with a CCC classification (adjusted odds ratio [aOR] = 0.63; 95% confidence interval [CI] = 0.543-0.731). When infants had other insurance coverage, they were less likely (aOR = 0.63; 95% CI = 0.537-0.748) to have a CCC classification. Infants who resided in nonurban areas (aOR = 1.21; 95% CI =1.034-1.415) and had comorbidities (aOR = 38.19; 95% CI = 33.12-44.04) had greater odds of having a CCC classification.<br />Conclusions: The findings suggested that the infants are not commonly classified with a CCC and highlighted the significant variation in race with African American infants exhibiting different CCC classifications than Caucasian infants. Given the importance of reducing disparities in palliative care, critical attention to using CCC classifications in research is warranted.
- Subjects :
- Comorbidity
Female
Health Resources statistics & numerical data
Humans
Infant
Infant, Newborn
Male
Patient Acceptance of Health Care statistics & numerical data
Regression Analysis
Residence Characteristics
Retrospective Studies
Socioeconomic Factors
United States
Health Expenditures statistics & numerical data
Health Services statistics & numerical data
Multiple Chronic Conditions classification
Multiple Chronic Conditions epidemiology
Subjects
Details
- Language :
- English
- ISSN :
- 1938-2715
- Volume :
- 36
- Issue :
- 10
- Database :
- MEDLINE
- Journal :
- The American journal of hospice & palliative care
- Publication Type :
- Academic Journal
- Accession number :
- 30943756
- Full Text :
- https://doi.org/10.1177/1049909119838985