A case study on variations in network structure and cross-sector alignment in two local systems serving pregnant and parenting women in recovery.

OBJECTIVE: To describe network structure and alignment across organizations in healthcare, public health, and social services sectors that serve pregnant and parenting women with substance use disorder (SUD) in an urban and a rural community. DATA SOURCES AND STUDY SETTINGS: Two community networks, one urban and one rural with each including a residential substance use treatment program, in Kentucky during 2021. STUDY DESIGN: Social network analysis measured system collaboration and cross-sector alignment between healthcare, public health, and social services organizations, applying the Framework for Aligning Sectors. To understand the alignment and structure of each network, we measured network density overall and between sectors, network centralization, and each organization's degree centrality and effective size. DATA COLLECTION/EXTRACTION METHODS: Computer-assisted telephone interviews were conducted to document alignment around shared purpose, data, financing, and governance. PRINCIPAL FINDINGS: On average, overall and cross-sector network densities in both communities were similar. However, alignment was highest for data sharing and financing in the urban community and for shared purpose and governance in the rural community. Cross-sector partnerships involving healthcare organizations were more prevalent in the rural county (44% vs. 38% for healthcare/public health, 44% vs. 29% for healthcare/social services), but more prevalent for those involving public health/social services organizations in the urban county (42% vs. 24%). A single healthcare organization had the highest degree centrality (Mdn [IQR] = 26 [26-9.5]) and effective size (Mdn [IQR] = 15.9 [20.6-8.7]) within the rural county. Social services organizations held more central positions in the urban county (degree centrality Mdn [IQR] = 13 [14.8-9.5]; effective size Mdn [IQR] = 10.4 [11.4-7.9]). CONCLUSIONS: Cross-sector alignment may strengthen local capacity for comprehensive SUD care for pregnant and parenting women. Healthcare organizations are key players in cross-sector partnerships in the rural community, where one healthcare facility holds the central brokerage role. In contrast, public health agencies are key to cross-sector collaboration with social services in the urban community.

Variation in classification of live birth with newborn period death versus fetal death at the local level may impact reported infant mortality rate.

BACKGROUND: To better understand factors that may impact infant mortality rates (IMR), we evaluated the consistency across birth hospitals in the classification of a birth event as either a fetal death or an early neonatal (infant) death using natality data from North Carolina for the years 1995-2000. METHODS: A database consisting of fetal deaths and infant deaths occurring within the first 24 hours after birth was constructed. Bivariate, followed by multivariable regression, analyses were used to control for relevant maternal and infant factors. Based upon hospital variances, adjustments were made to evaluate the impact of the classification on statewide infant mortality rate. RESULTS: After controlling for multiple maternal and infant factors, birth hospital remained a factor related to the classification of early neonatal versus fetal death. Reporting of early neonatal deaths versus fetal deaths consistent with the lowest or highest hospital strata would have resulted in an adjusted IMR varying from 7.5 to 10.64 compared with the actual rate of 8.95. CONCLUSIONS: Valid comparisons of IMR among geographic regions within and between countries require consistent classification of perinatal deaths. This study demonstrates that local variation in categorization of death events as fetal death versus neonatal death within the first 24 hours after delivery may impact a state-level IMR in a meaningful magnitude. The potential impact of this issue on IMRs should be examined in other state and national populations.

Epidural hemorrhage complicating extracorporeal life support in a neonate with respiratory failure.

Whereas bleeding represents the most common complication of a patient on extracorporeal life support, intracranial hemorrhage represents the most common bleeding complication. We report the first known case in the English literature of an epidural hemorrhage complicating extracorporeal life support in a neonate with respiratory failure. Ultrasound findings closely mimic those of a posterior fossa hemorrhage. We speculate that the coagulopathy associated with the use of ECLS may have contributed to the formation of the epidural hemorrhage.