Clusters of Multiple Complex Chronic Conditions: A Latent Class Analysis of Children at End of Life

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.

How are children with medical complexity being identified in epidemiological studies? A systematic review

BACKGROUND

There are different definitions to identify/classify children with medical complexity (CMC). We aimed to investigate and describe the definitions used to classify CMC in epidemiological studies.

METHODS

PubMed, SciELO, LILACS, and EMBASE were searched from 2015 to 2020 (last updated September 15th, 2020) for original studies that presented the definition used to classify/identify CMC in the scientific research method. We applied the Preferred Reporting Items for Systematic Reviews and Meta-Analyses methodology. From the included studies, the following were identified: first author, year of publication, design, population, study period, the definition of CMC used, limitations, and strengths.

RESULTS

Nine hundred and sixty-seven records were identified in the searched databases, and 42 met the inclusion criteria. Of the 42 studies included, the four most frequent definitions used in the articles included in this review were classification of CMC into nine diagnostic categories based on the International Classification of Diseases, Ninth Revision (ICD-9) (35.7%, 15 articles); update of the previous classification for ICD-10 codes with the inclusion of other conditions in the definition (21.4%, nine articles); definition based on a medical complexity algorithm for classification (16.7%, seven articles); and a risk rating system (7.1%, three articles).

CONCLUSIONS

CMC definitions using diagnostic codes were more frequent. However, several limitations were found in its uses. Our research highlighted the need to improve health information systems to accurately characterize the CMC population and promote the provision of comprehensive care.

Complex, Co-occurring Needs Patterns and Evidence-Based Service Planning for Families Involved in Foster Care: A Map for Research and Practice

This study described the complexity of service need co-occurrence among foster care-involved families and identified prevalent patterns of needs to inform future evidence-based service planning research. We utilized state administrative child maltreatment records, and restricted data to cases where the child entered foster care in 2019 and the caseworker indicated the presence of at least one need from the Family Assessment of Needs and Strengths (FANS; n = 1631). We extracted all unique combinations of needs (i.e., needs profiles), and we used association rule mining to identify patterns within these profiles. A total of 780 unique needs profiles emerged among the 1631 cases, which we condensed into 78 patterns. Although the variability and complexity of needs profiles makes evidence-based service planning difficult, the present analysis mapped prevalent needs patterns to guide future research intended to assist caseworkers in this task. Identification of maltreatment determinants among families involved in foster care, and future research into the needs within different needs patterns that might undermine treatment effectiveness, may result in a better balance between parsimonious service plans and a full consideration of co-occurring service needs.

Social determinants of multimorbidity patterns: A systematic review

Social determinants of multimorbidity are poorly understood in clinical practice. This review aims to characterize the different multimorbidity patterns described in the literature while identifying the social and behavioral determinants that may affect their emergence and subsequent evolution. We searched PubMed, Embase, Scopus, Web of Science, Ovid MEDLINE, CINAHL Complete, PsycINFO and Google Scholar. In total, 97 studies were chosen from the 48,044 identified. Cardiometabolic, musculoskeletal, mental, and respiratory patterns were the most prevalent. Cardiometabolic multimorbidity profiles were common among men with low socioeconomic status, while musculoskeletal, mental and complex patterns were found to be more prevalent among women. Alcohol consumption and smoking increased the risk of multimorbidity, especially in men. While the association of multimorbidity with lower socioeconomic status is evident, patterns of mild multimorbidity, mental and respiratory related to middle and high socioeconomic status are also observed. The findings of the present review point to the need for further studies addressing the impact of multimorbidity and its social determinants in population groups where this problem remains invisible (e.g., women, children, adolescents and young adults, ethnic groups, disabled population, older people living alone and/or with few social relations), as well as further work with more heterogeneous samples (i.e., not only focusing on older people) and using more robust methodologies for better classification and subsequent understanding of multimorbidity patterns. Besides, more studies focusing on the social determinants of multimorbidity and its inequalities are urgently needed in low- and middle-income countries, where this problem is currently understudied.

Comparison between Rural and Urban Appalachian Children in Hospice Care

OBJECTIVE

The goal of this study was to compare rural and urban pediatric hospice patients in Appalachia.

METHODS

Using a retrospective, nonexperimental design, we sought to compare characteristics of Appalachian rural and urban children younger than 21 years enrolled in the Medicaid hospice benefit. Descriptive statistics were calculated on the demographic, hospice, and clinical characteristics of children from Appalachia. Comparisons were calculated using Pearson χ² for proportions and the Student t test for means.

RESULTS

Less than half of the 1788 Appalachian children admitted to hospice care resided in rural areas (40%). Compared with children in urban areas of Appalachia, rural children were significantly younger (8 years vs 9.5 years) and more often had a complex chronic condition (56.0% vs 35.1%) and comorbidities (38.5% vs 17.0%) with technology dependence (32.6% vs 17.0%). Children in rural Appalachian were commonly from communities in the southern region of Appalachia (27.9% vs <10.0%), with median household incomes <$50,000/year (96.7% vs 22.4%). Significant differences were present in clinical care between rural and urban Appalachian children. Rural children had longer lengths of stay in hospice care (38 days vs 11 days) and were less likely to use the emergency department during hospice admission (19.0% vs 43.0%). These children more often visited their primary care provider (49.9% vs 31.3%) and sought care for symptoms from nonhospice providers (18.1% vs 10.0%) while admitted to hospice.

CONCLUSIONS

Our results suggest that children admitted to hospice care in rural versus urban Appalachia have distinct characteristics. Rural children are admitted to hospice care with significant medical complexities and reside in areas of poverty. Hospice care for rural children suggests a continuity of care with longer hospice stays and fewer transitions to the emergency department; however, the potential for care fragmentation is present, with frequent visits to primary care and nonhospice providers for symptom management. Understanding the unique characteristics of children in Appalachia may be essential for advancing knowledge and care for these children at the end of life. Future research examining geographic variation in hospice care in Appalachia is warranted.

A Comparison of Young Adults With and Without Cancer in Concurrent Hospice Care: Implications for Transitioning to Adult Health Care

Purpose: Concurrent hospice care provides important end-of-life care for youth under 21 years. Those nearing 21 years must decide whether to shift to adult hospice or leave hospice for life-prolonging care. This decision may be challenging for young adults with cancer, given the intensity of oncology care. Yet, little is known about their needs. We compared young adults with and without cancer in concurrent hospice care. Methods: Retrospective comparative design used data from 2011 to 2013 U.S. Medicaid data files. Decedents were included if they were 20 years of age, enrolled in Medicaid hospice care, and used nonhospice medical services on the same day as hospice care based on their Medicaid claims activity dates. Results: Among 226 decedents, 21% had cancer; more than half were female (60.6%), Caucasian (53.5%), non-Hispanic (77.4%), urban dwelling (58%), and had mental/behavioral disorder (53%). Young adults with cancer were more often non-Caucasian (68.7% vs. 40.4%), technology dependent (47.9% vs. 24.2%), had comorbidities (83.3% vs. 30.3%), and lived in rural (58.3% vs. 37.6%), southern (41.7% vs. 20.8%) areas versus peers without cancer. Those with cancer had significantly fewer live discharges from hospice (5.7 vs. 17.3) and sought treatment for symptoms more often from nonhospice providers (35.4% vs. 14.0%). Conclusions: Young adults in concurrent hospice experience medical complexity, even at end-of-life. Understanding care accessed at 20 years helps providers guide young adults and families considering options in adult-focused care. Clinical and demographic differences among those with and without cancer in concurrent care highlight needs for research exploring racial and geographic equity.

Effectiveness of Pediatric Concurrent Hospice Care to Improve Continuity of Care

BACKGROUND

The 2010 Patient Protection and Affordable Care Act (ACA) mandated landmark hospice care legislation for children at end of life. Little is known about the impact of pediatric concurrent hospice care.

OBJECTIVE

The purpose of this study was to examine the effect of pediatric concurrent vs standard hospice care on end-of-life care continuity among Medicaid beneficiaries.

METHODS

Using national Medicaid data, we conducted a quasi-experimental designed study to estimate the effect of concurrent vs standard hospice care to improve end-of-life care continuity for children. Care continuity (i.e., hospice length of stay, hospice disenrollment, emergency room transition, and inpatient transition) was measured via claims data. Exposures were concurrent hospice vs standard hospice care. Using instrumental variable analysis, the effectiveness of exposures on care continuity was compared.

RESULTS

Concurrent hospice care affected care continuity. It resulted in longer lengths of stays in hospice (β = 2.76, P < .001) and reduced hospice live discharges (β = -2.80, P < .05), compared to standard hospice care. Concurrent care was not effective at reducing emergency room (β = 2.09, P < .001) or inpatient care (β = .007, P < .05) transitions during hospice enrollment.

CONCLUSION

Our study provides critical insight into the quality of care delivered for children at end of life. These findings have policy implications.

End-of-Life Healthcare Service Needs Among Children With Neurological Conditions: A Latent Class Analysis

ABSTRACT

BACKGROUND: At the end of life, children with neurological conditions have complex healthcare needs that can be met by providing care of their life-limiting conditions concurrently with hospice care (ie, concurrent care). Given the limited literature on concurrent care for children with neurologic conditions, this investigation aimed to identify patterns of nonhospice, healthcare service needs and to assess characteristics of children within each group. METHODS: A nationally representative sample children with neurological conditions enrolled in concurrent hospice care was used. Latent class analysis and descriptive statistics were calculated to identify patterns of healthcare needs and characteristics of children within the groups. A subgroup analysis of infants was conducted. RESULTS: Among the 1601 children, the most common types of services were inpatient hospitals, durable medical equipment, and home health. Two classes of service needs were identified: moderate intensity (58%) and high intensity (42%). Children in the moderate-intensity group were predominantly between 1 and 5 years old, male, White, and non-Hispanic. The most common neurological condition was central nervous system degeneration. They also had significant comorbidities, mental/behavioral health conditions, and technology dependence. They commonly resided in urban areas in the South. Children in the high-intensity group had a wide range of neurological conditions and high acuity. The subgroup analysis of infants indicated a different neurological profile. CONCLUSIONS: Two distinct classes of nonhospice, healthcare service needs emerged among children with neurological conditions at the end of life. The groups had unique demographic profiles.

Identifying Patterns of Pediatric Mental and Behavioral Health at End of Life: A National Study

Children, who enroll in hospice, have complex mental and behavioral health (MHBH) problems. There is limited literature on patterns of these problems among children at their end of life. Using the national database of 6195 children enrolled in hospice between January 1, 2011, and December 31, 2013, and latent class analysis, this study identified 4 distinctive classes of children. Neurodevelopment and anxiety class (26.5% of the sample) had 41.3% of children of 15 years or older, who had an average of 1.4 MHBH comorbidities and took 17 medications; 29.1% had physical health comorbidities, and 23% were dependent on technology. In the Behavior and Neurodevelopment class (20%), 53.1% of the children were between ages 6 and 14 years, who had an average of 2 MHBH comorbidities and took 17 medications. In the Physiology class (43.4%), 65.5% of children were younger than 5 years, had 1 MHBH comorbidity, and took 19 medications. In the Mood, Behaviors, and Anxiety class (10.2%), more than 90% of children were older than 6 years, had 4 MHBH comorbidities, and took 30 medications. In the latter 3 classes, approximately half of the children either had physical health comorbidities or were technology dependent. These findings highlight the importance of end-of-life care that accounts for the likely presence of complicated patterns of MHBH conditions.

Patterns of Health Care Services During Pediatric Concurrent Hospice Care: A National Study

BACKGROUND

Children at end of life have unique and complex care needs. Although there is increasing evidence about pediatric concurrent hospice care, the health care services received while in hospice have not received sufficient attention.

OBJECTIVES

To examine the health care services, unique clusters of health care services, and characteristics of the children in the clusters.

METHODS

Multiple data sources were used including national Medicaid claims data. Children under 21years in pediatric concurrent hospice care were included. Using Medicaid categories assigned to claims, health care services were distributed across 20 categories. Latent class analysis was used to identify clusters of health care services. Demographic profiles of the clusters were created.

RESULTS

The 6,243 children in the study generated approximately 500,0000 non-hospice, health care service claims while enrolled in hospice care. We identified 3 unique classes of health care services use: low (61.1%), moderate (18.1%), and high (20.8%) intensity. The children in the 3 classes exhibited unique demographic profiles.

CONCLUSIONS

Health care services cluster together in unique fashion with distinct patterns among children in concurrent hospice care. The findings suggest that concurrent hospice care is not a 1-size-fit all solution for children. Concurrent hospice care may be customized and require attention to care coordination to ensure high-quality care.

Triiodothyronine Potentiates BMP9-Induced Osteogenesis in Mesenchymal Stem Cells Through the Activation of AMPK/p38 Signaling

Thyroid hormone (TH), triiodothyronine (T3), and thyroxine (T4), which are released from the thyroid, control many cellular processes in various cell types. It is worth noting that TH plays a complex role in skeletal metabolic balance, and few studies have investigated whether TH exerts any effects on osteogenesis in bone mesenchymal stem cells (MSCs). We explored the effects of T3 on bone morphogenetic protein 9 (BMP9)-induced osteogenesis, which process is considered the most important in the osteogenic differentiation of C3H10T1/2 cells. In vitro osteogenesis was analyzed by alkaline phosphatase (ALP) activity and staining, bone mineralisation, and osteocalcin and osteopontin expression. Fetal limb explant cultures and ectopic MSC implantation further confirmed the role of T3. Finally, we examined the effect of AMPK/p38 signaling on the osteoblastic differentiation. T3 synergizes with BMP9 to enhance osteogenic marker expression induced by BMP9. Furthermore, T3 promotes BMP9-induced bone formation by fetal limb explant cultures and ectopic MSC implantation. Co-treatment with BMP9 and T3 can promote AMPK and p38 phosphorylation, and pretreatment with the AMPK inhibitor compound C and siRNA can abolish phosphorylation of p38 and BMP9+T3-induced ALP activity. Our results suggest that BMP9 and T3 promote osteogenic differentiation at least partially via the activation of the AMPK/p38 signaling pathway.

Pediatric Concurrent Hospice Care: A Scoping Review and Directions for Future Nursing Research

In 2010, forgoing curative therapies were removed as a hospice eligibility criterion for children through section 2302 of the Patient Protection and Affordable Care Act called Concurrent Care for Children. Given that concurrent care is a federally mandated option for children and their families, no review of the science has been conducted. The purpose of this study was to systematically collect the evidence on concurrent hospice care, critically appraise the evidence, and identify areas for future nursing research. Of the 186 articles identified for review, 14 met the inclusion and exclusion criteria. Studies in this review described concurrent hospice care from a variety of perspectives: policy, legal, and ethics. However, only 1 article evaluated the impact of concurrent hospice care on outcomes, whereas several studies explained clinical and state-level implementation. There is a need for further studies that move beyond conceptualization and generate baseline and outcomes data. Understanding the effectiveness of concurrent hospice care might provide important information for future nursing research. The approaches used to disseminate and implement concurrent hospice care at state, provider, and family levels should be explored.

Epidemiology of Children With Multiple Complex Chronic Conditions in a Mixed Urban-Rural US Community

OBJECTIVES

Children with multiple complex chronic conditions (MCCs) represent a small fraction of our communities but a disproportionate amount of health care cost and mortality. Because the temporal trends of children with MCCs within a geographically well-defined US pediatric population has not been previously assessed, health care planning and policy for this vulnerable population is limited.

METHODS

In this population-based, repeated cross-sectional study, we identified and enrolled all eligible children residing in Olmsted County, Minnesota, through the Rochester Epidemiology Project, a medical record linkage system of Olmsted County residents. The pediatric complex chronic conditions classification system version 2 was used to identify children with MCCs. Five-year period prevalence and incidence rates were calculated during the study period (1999-2014) and characterized by age, sex, ethnicity, and socioeconomic status (SES) by using the housing-based index of socioeconomic status, a validated individual housing-based SES index. Age-, sex-, and ethnicity-adjusted prevalence and incidence rates were calculated, adjusting to the 2010 US total pediatric population.

RESULTS

Five-year prevalence and incidence rates of children with MCCs in Olmsted County increased from 1200 to 1938 per 100 000 persons and from 256 to 335 per 100 000 person-years, respectively, during the study period. MCCs tend to be slightly more prevalent among children with a lower SES and with a racial minority background.

CONCLUSIONS

Both 5-year prevalence and incidence rates of children with MCCs have significantly increased over time, and health disparities are present among these children. The clinical and financial outcomes of children with MCCs need to be assessed for formulating suitable health care planning given limited resources.

Children Enrolled in Hospice Care Under Commercial Insurance: A Comparison of Different Age Groups

Background:

Although most children at end of life have commercial insurance, little is known about their demographic and clinical characteristics, what care they are receiving, and how much it costs.

Objectives:

To describe commercially insured children who enrolled in hospice care during their last year of life and to examine differences across age-groups.

Methods:

A retrospective cohort study was conducted using 2005 to 2014 data from the MarketScan Commercial Claims and Encounters database from Truven Health Analytics. Variables were created for demographics, health, utilization, and spending. Analyses included χ2 and analysis of variance tests of differences.

Results:

Among the 17 062 children who utilized hospice, 49% had a preferred provider organization (PPO). Hospice length of stay averaged less than 5 days. Over 80% of children visited their primary care physician. Eight percent had hospital readmissions, and 38% had emergency department (ED) visits. Average expenditures were US$3686 per month or US$44 232 annually. The most common condition for children less than 1 year was cardiovascular (21.96%). Neuromuscular conditions were the most frequent (7.89%) in children aged 1 to 5 years, while malignancies (10.53% and 11.32%, respectively) were prevalent in ages 6 to 14 and 15 to 17. Children less than 1 year had the highest frequency of hospital readmissions (16.25%) with the lowest ED visits (28.67%) while incurring the highest expenses (US$11 211/month).

Conclusions:

The findings suggest that commercially insured children, who enroll in hospice, have flexible coverage with a PPO. Hospital readmissions and ED visits were relatively low for a population who was seriously ill. There were significant age-group differences.

Emerging Methodologies in Pediatric Palliative Care Research: Six Case Studies

Given the broad focus of pediatric palliative care (PPC) on the physical, emotional, and spiritual needs of children with potentially life-limiting illnesses and their families, PPC research requires creative methodological approaches. This manuscript, written by experienced PPC researchers, describes issues encountered in our own areas of research and the novel methods we have identified to target them. Specifically, we discuss potential approaches to: assessing symptoms among nonverbal children, evaluating medical interventions, identifying and treating problems related to polypharmacy, addressing missing data in longitudinal studies, evaluating longer-term efficacy of PPC interventions, and monitoring for inequities in PPC service delivery.

Quality of paediatric hospice care for children with and without multiple complex chronic conditions

BACKGROUND

Hospice care for children with multiple complex chronic conditions (MCCC) is complicated given their unique health at the end of life (EOL). Little is known about the quality of the hospice care MCCC children receive and how that might differ from children without MCCC.

OBJECTIVE

To compare the quality of hospice care (i.e., structures, processes, outcomes) between children with and without MCCC.

METHODS

This retrospective, comparative study used data from the National Home and Hospice Care Survey, which included a nationally representative sample of paediatric hospice patients. The Pearson chi-square and Wald tests for comparisons were used.

RESULTS

MCCC children enrolled in hospice care for over 2 months with multiple visits by hospice staff. They had low symptom burden with minimal discontinuity of care at EOL. Children without MCCC had short length of stays in hospice with few visits by nurses and other clinicians. These children had high symptom burden and significant disenrollment from hospice care to receive more aggressive treatment.

CONCLUSIONS

The findings revealed significant differences in paediatric hospice care between MCCC and non-MCCC children, which provides critical insight into the quality of hospice care.

Pediatric Primary Care Involvement in End-of-Life Care for Children

OBJECTIVES

To examine the relationship between pediatric primary care involvement and hospice and home health care use at end of life.

METHODS

California Medicaid data were used to estimate the relationship between pediatric primary care involvement and use of hospice and home health care using generalized estimating equations.

RESULTS

Of the 2037 children who died between 2007 and 2010, 11% used hospice and 23% used home health. Among all children, primary care was not related to hospice use and was associated with home health use, usual source of care (OR = 1.83, P < .05), comprehensive care (OR = 1.60, P < .05), and continuous care (low: OR = 1.49, P < .05; moderate: OR = 2.57, P < .05; high: OR = 2.12, P < .05). Primary care for children aged 15 to 20 years was related to hospice use, usual source of care (OR = 4.06, P < .05) and continuous care (low: OR = 4.92, P < .05; moderate OR = 4.09, P < .05; high OR = 3.92, P < .05). Primary care for children under 5 years was associated with home health use, usual source of care (OR = 2.59, P < .05), comprehensive care (OR = 2.49, P < .05), and continuous care (low: OR = 2.22, P < .05; moderate: OR = 3.64, P < .05; high: OR = 3.62, P < .05). For children aged 6 to 14 years, this association was seen with continuous care (moderate: OR = 2.38, P < .05; high: OR = 2.13, P < .05). Home health for children aged 15 to 20 years was related to continuous care (moderate: OR = 2.32, P < .05).

CONCLUSION

Primary care involvement affected hospice use among older age-groups and home health use among younger age-groups. These findings underscore the need for clinical knowledge about end-of-life care for children of all ages among primary care providers.

Variations in Care Quality Outcomes of Dying People: Latent Class Analysis of an Adult National Register Population

CONTEXT

Symptom relief is a key goal of palliative care. There is a need to consider complexities in symptom relief patterns for groups of people to understand and evaluate symptom relief as an indicator of quality of care at end of life.

OBJECTIVES

The aims of this study were to distinguish classes of patients who have different symptom relief patterns during the last week of life and to identify predictors of these classes in an adult register population.

METHODS

In a cross-sectional retrospective design, data were used from 87,026 decedents with expected deaths registered in the Swedish Register of Palliative Care in 2011 and 2012. Study variables were structured into patient characteristics, and processes and outcomes of quality of care. A latent class analysis was used to identify symptom relief patterns. Multivariate multinomial regression analyses were used to identify predictors of class membership.

RESULTS

Five latent classes were generated: "relieved pain," "relieved pain and rattles," "relieved pain and anxiety," "partly relieved shortness of breath, rattles and anxiety," and "partly relieved pain, anxiety and confusion." Important predictors of class membership were age, sex, cause of death, and having someone present at death, individual prescriptions as needed (PRN) and expert consultations.

CONCLUSION

Interindividual variability and complexity in symptom relief patterns may inform quality of care and its evaluation for dying people across care settings.

Multiple Complex Chronic Conditions and Pediatric Hospice Utilization among California Medicaid Beneficiaries, 2007-2010

BACKGROUND

Over 42,000 children die each year in the United States, including many with multiple complex chronic conditions (MCCCs), but little is known about whether the presence of MCCCs influences families to utilize pediatric hospice care.

OBJECTIVE

The study objective was to examine the relationship between MCCCs and pediatric hospice utilization among Medicaid beneficiaries.

METHODS

A retrospective, longitudinal cohort design was conducted with 2007-2010 California Medicaid data to examine the relationship between MCCCs (i.e., two or more MCCCs) and pediatric hospice utilization (i.e., hospice enrollment, hospice length of stay). Multivariate logistic regression with year fixed effects examined the effect of MCCCs on hospice enrollment, and negative binomial model with year fixed effects explored the relationship between MCCCs and hospice length of stay.

RESULTS

More than 10% of children enrolled in hospice care with an average length of stay of approximately three days. In the study sample, 48.6% of the children had MCCCs. MCCCs were not significantly related to hospice enrollment. However, children with MCCCs (incidence rate ratios = 4.25, p < 0.01) were associated with an increase in the number of days in hospice care.

CONCLUSIONS

This study demonstrated that children with MCCCs have limited hospice care utilization at end of life. Future research is needed to explore barriers to hospice care for children with MCCCs.