Direct Admission Program Implementation: A Qualitative Analysis of Variation Across Health Systems.

OBJECTIVES: Direct admission (DA) to the hospital has the potential to improve family satisfaction and timeliness of care by bypassing the emergency department. Using the RE-AIM implementation framework, we sought to characterize variation across health systems in the reach, effectiveness, adoption, and implementation of a DA program from the perspectives of parents and multidisciplinary clinicians. METHODS: As part of a stepped-wedge cluster randomized trial to compare the effectiveness of DA to admission through the emergency department, we evaluated DA rates across 69 clinics and 3 health systems and conducted semi-structured interviews with parents and clinicians. We used thematic analysis to identify themes related to the reach, effectiveness, adoption, and implementation of the DA program and applied axial coding to characterize thematic differences across sites. RESULTS: Of 2599 hospitalizations, 171 (6.6%) occurred via DA, with DA rates varying 10-fold across health systems from 0.9% to 9.3%. Through the analysis of 137 interviews, including 84 with clinicians and 53 with parents, we identified similarities across health systems in themes related to perceived program effectiveness and patient and family engagement. Thematic differences across sites in the domains of program implementation and clinician adoption included variation in transfer center efficiency, trust between referring and accepting clinicians, and the culture of change within the health system. CONCLUSIONS: The DA program was adopted variably, highlighting unique challenges and opportunities for implementation in different hospital systems. These findings can inform future quality improvement efforts to improve transitions to the hospital.

Rural-urban disparities in health care delivery for children with medical complexity and moderating effects of payer, disability, and community poverty.

PURPOSE: Children with medical complexity (CMC) may be at increased risk of rural-urban disparities in health care delivery given their multifaceted health care needs, but these disparities are poorly understood. This study evaluated rural-urban disparities in health care delivery to CMC and determined whether Medicaid coverage, co-occurring disability, and community poverty modified the effects of rurality on care delivery. METHODS: This retrospective cohort study of 2012-2017 all-payer claims data from Colorado, Massachusetts, and New Hampshire included CMC <18 years. Health care delivery measures (ambulatory clinic visits, emergency department visits, acute care hospitalizations, total hospital days, and receipt of post-acute care) were compared for rural- versus urban-residing CMC in multivariable regression models, following established methods to evaluate effect modification. FINDINGS: Of 112,475 CMC, 7307 (6.5%) were rural residing and 105,168 (93.5%) were urban residing. A total of 68.9% had Medicaid coverage, 33.9% had a disability, and 39.7% lived in communities with >20% child poverty. In adjusted analyses, rural-residing CMC received significantly fewer ambulatory visits (risk ratio [RR] = 0.95, 95% confidence interval [CI]: 0.94-0.96), more emergency visits (RR = 1.12, 95% CI: 1.08-1.16), and fewer hospitalization days (RR = 0.90, 95% CI = 0.85-0.96). The estimated modification effects of rural residence by Medicaid coverage, disability, and community poverty were each statistically significant. Differences in the odds of having a hospitalization and receiving post-acute care did not persist after incorporating sociodemographic and clinical characteristics and interaction effects. CONCLUSIONS: Rural- and urban-residing CMC differed in their receipt of health care, and Medicaid coverage, co-occurring disabilities, and community poverty modified several of these effects. These modifying effects should be considered in clinical and policy initiatives to ensure that such initiatives do not widen rural-urban disparities.

Pediatric Hospitalizations at Rural and Urban Teaching and Nonteaching Hospitals in the US, 2009-2019.

Importance: National analyses suggest that approximately 1 in 5 US hospitals closed their pediatric units between 2008 and 2018. The extent to which pediatric hospitalizations at general hospitals in rural and urban communities decreased during this period is not well understood. Objective: To describe changes in the number and proportion of pediatric hospitalizations and costs at urban teaching, urban nonteaching, and rural hospitals vs freestanding children's hospitals from 2009 to 2019; to estimate the number and proportion of hospitals providing inpatient pediatric care; and to characterize changes in clinical complexity. Design, Setting, and Participants: This study is a retrospective cross-sectional analysis of the 2009, 2012, 2016, and 2019 Kids' Inpatient Database, a nationally representative data set of US pediatric hospitalizations among children younger than 18 years. Data were analyzed from February to June 2023. Exposures: Pediatric hospitalizations were grouped as birth or nonbirth hospitalizations. Hospitals were categorized as freestanding children's hospitals or as rural, urban nonteaching, or urban teaching general hospitals. Main Outcomes and Measures: The primary outcomes were annual number and proportion of birth and nonbirth hospitalizations and health care costs, changes in the proportion of hospitalizations with complex diagnoses, and estimated number and proportion of hospitals providing pediatric care and associated hospital volumes. Regression analyses were used to compare health care utilization in 2019 vs that in 2009. Results: The data included 23.2 million (95% CI, 22.7-23.6 million) weighted hospitalizations. From 2009 to 2019, estimated national annual pediatric hospitalizations decreased from 6 425 858 to 5 297 882, as birth hospitalizations decreased by 10.6% (95% CI, 6.1%-15.1%) and nonbirth hospitalizations decreased by 28.9% (95% CI, 21.3%-36.5%). Concurrently, hospitalizations with complex chronic disease diagnoses increased by 45.5% (95% CI, 34.6%-56.4%), and hospitalizations with mental health diagnoses increased by 78.0% (95% CI, 61.6%-94.4%). During this period, the most substantial decreases were in nonbirth hospitalizations at rural hospitals (4-fold decrease from 229 263 to 62 729) and urban nonteaching hospitals (6-fold decrease from 581 320 to 92 118). In 2019, birth hospitalizations occurred at 2666 hospitals. Nonbirth pediatric hospitalizations occurred at 3507 hospitals, including 1256 rural hospitals and 843 urban nonteaching hospitals where the median nonbirth hospitalization volumes were fewer than 25 per year. Conclusions and Relevance: Between 2009 and 2019, the largest decreases in pediatric hospitalizations occurred at rural and urban nonteaching hospitals. Clinical and policy initiatives to support hospitals with low pediatric volumes may be needed to maintain hospital access and pediatric readiness, particularly in rural communities.

Epidemiology of pediatric hospitalizations at general hospitals and freestanding children's hospitals in the United States: 2019 update.

BACKGROUND: General hospitals (GH) provide inpatient care for the majority of hospitalized children in the United States, yet the majority of hospital pediatrics research is conducted at freestanding children's hospitals. OBJECTIVE: Updating a prior 2012 analysis, this study used 2019 data to describe characteristics of pediatric hospitalizations at general and freestanding hospitals in the United States and identify the most common and costly reasons for hospitalization in these settings. DESIGNS, SETTING, AND PARTICIPANTS: This study examined hospitalizations in children <18 years using the Healthcare Cost and Utilization Project's 2019 Kids' Inpatient Database, stratifying neonatal and nonneonatal hospital stays. INTERVENTION: Not applicable. MAIN OUTCOME AND MEASURES: Sociodemographic and clinical differences between hospitalizations at general and freestanding children's hospitals were examined, applying survey weights to generate national estimates. RESULTS: There were an estimated 5,263,218 pediatric hospitalizations in 2019, including 3,757,601 neonatal and 1,505,617 nonneonatal hospital stays. Overall, 88.6% (n = 4,661,288) of hospitalizations occurred at GH, including 97.6% of neonatal hospitalizations and 65.9% of nonneonatal hospitalizations. 11.4% (n = 601,930) of hospitalizations occurred at freestanding children's hospitals, including 2.4% (n = 88,313) of neonatal hospitalizations and 34.1% (n = 513,616) of nonneonatal hospitalizations. In total, 98.9% of complicated birth hospitalizations and 66.0% of neonatal nonbirth hospitalizations occurred at GH. Among nonneonatal stays, 85.2% of mental health hospitalizations, 63.5% of medical hospitalizations, and 61.3% of surgical hospitalizations occurred at GH.

Specialties Providing Ambulatory Care and Associated Health Care Utilization and Quality for Children With Medical Complexity.

OBJECTIVE: Although children with medical complexity (CMC) have substantial health care needs, the extent to which they receive ambulatory care from primary care versus specialist clinicians is unknown. We aimed to determine the predominant specialty providing ambulatory care to CMC (primary care or specialty discipline), the extent to which specialists deliver well-child care, and associations between having a specialty predominant provider and health care utilization and quality. METHODS: In a retrospective cohort analysis of 2012-17 all-payer claims data from Colorado, New Hampshire, and Massachusetts, we identified the predominant specialty providing ambulatory care for CMC <18 years. Propensity score weighting was used to create a balanced sample of CMC and assess differences in outcomes, including adequate well-child care, continuity of care, emergency visits, and hospitalizations, between CMC with a primary care versus specialty predominant provider. RESULTS: Among 67,218 CMC, 75.3% (n = 50,584) received the plurality of care from a primary care discipline. Body system involvement, age > 2 years, urban residence, and cooccurring disabilities were associated with predominantly receiving care from specialists. After propensity score weighting, there were no significant differences between CMC with a primary care or specialist "predominant specialty seen" (PSS) in ambulatory visit counts, adequate well-child care, hospitalizations, or overall continuity of care. Specialists were the sole providers of well-child care and vaccines for 49.9% and 53.1% of CMC with a specialist PSS. CONCLUSIONS: Most CMC received the plurality of care from primary care disciplines, and there were no substantial differences in overall utilization or quality based on the PSS.

Hospitalists' Perceptions of Pediatric Mental Health Boarding: Quality of Care and Moral Distress.

BACKGROUND: Acute care hospitals increasingly provide care for youth experiencing mental health crises while they await transfer for psychiatric hospitalization. To inform quality improvement efforts, we aimed to characterize hospitalists' perceptions of health care quality during pediatric mental health boarding and their experiences of moral distress in caring for this population. METHODS: In March 2021, we conducted a web-based survey of hospitalists who participate in the Pediatric Research in Inpatient Settings (PRIS) network. Closed- and open-ended questions queried the quality of care provided to youth during boarding and clinician experience of moral distress in caring for these youth. We iteratively coded qualitative data for emergent themes. Moral distress was measured using 11 items from the Measure of Moral Distress for Health Care Professionals (MMD-HP), which categorizes sources of moral distress into system-, team-, and patient-level factors. RESULTS: Eighty-eight of 111 PRIS site leaders (79%) and 76 of 383 other PRIS members (20%) responded, representing 12 community hospitals, 38 freestanding children's hospitals, and 35 children's hospitals in adult centers. Emergent themes related to health care quality included the following: access to psychiatric services; safety; standardized workflows; clinician training; compassion/patient engagement; and collaboration and disposition planning. Hospitals often lacked desired resources, resulting in poor perceived therapeutic value of care, limited patient engagement, and provider moral distress. Four of the 5 highest MMD-HP item scores were related to system-level factors. CONCLUSION: Hospitalists identified several foci for quality improvement and described significant moral distress in caring for youth experiencing boarding, particularly related to health system factors.

Prevalence of Children With Medical Complexity and Associations With Health Care Utilization and In-Hospital Mortality.

Importance: Children with medical complexity (CMC) have substantial health care needs and frequently experience poor health care quality. Understanding the population prevalence and associated health care needs can inform clinical and public health initiatives. Objective: To estimate the prevalence of CMC using open-source pediatric algorithms, evaluate performance of these algorithms in predicting health care utilization and in-hospital mortality, and identify associations between medical complexity as defined by these algorithms and clinical outcomes. Design, Setting, and Participants: This retrospective cohort study used all-payer claims data from Colorado, Massachusetts, and New Hampshire from 2012 through 2017. Children and adolescents younger than 18 years residing in these states were included if they had 12 months or longer of enrollment in a participating health care plan. Analyses were conducted from March 12, 2021, to January 7, 2022. Exposures: The pediatric Complex Chronic Condition Classification System, Pediatric Medical Complexity Algorithm, and Children With Disabilities Algorithm were applied to 3 years of data to identify children with complex and disabling conditions, first in their original form and then using more conservative criteria that required multiple health care claims or involvement of 3 or more body systems. Main Outcomes and Measures: Primary outcomes, examined over 2 years, included in-hospital mortality and a composite measure of health care services, including specialized therapies, specialized medical equipment, and inpatient care. Outcomes were modeled using logistic regression. Model performance was evaluated using C statistics, sensitivity, and specificity. Results: Of 1 936 957 children, 48.4% were female, 87.8% resided in urban core areas, and 45.1% had government-sponsored insurance as their only primary payer. Depending on the algorithm and coding criteria applied, 0.67% to 11.44% were identified as CMC. All 3 algorithms had adequate discriminative ability, sensitivity, and specificity to predict in-hospital mortality and composite health care services (C statistic = 0.76 [95% CI, 0.73-0.80] to 0.81 [95% CI, 0.78-0.84] for mortality and 0.77 [95% CI, 0.76-0.77] to 0.80 [95% CI, 0.79-0.80] for composite health care services). Across algorithms, CMC had significantly greater odds of mortality (adjusted odds ratio [aOR], 9.97; 95% CI, 7.70-12.89; to aOR, 69.35; 95% CI, 52.52-91.57) and composite health care services (aOR, 4.59; 95% CI, 4.44-4.73; to aOR, 18.87; 95% CI, 17.87-19.93) than children not identified as CMC. Conclusions and Relevance: In this study, open-source algorithms identified different cohorts of CMC in terms of prevalence and magnitude of risk, but all predicted increased health care utilization and in-hospital mortality. These results can inform research, programs, and policies for CMC.