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.

Maternal satisfaction with group care: a systematic review.

OBJECTIVE: This review examined the quantitative relationship between group care and overall maternal satisfaction compared with standard individual care. DATA SOURCES: We searched CINAHL, Clinical Trials, The Cochrane Library, PubMed, Scopus, and Web of Science databases from the beginning of 2003 through June 2023. STUDY ELIGIBILITY CRITERIA: We included studies that reported the association between overall maternal satisfaction and centering-based perinatal care where the control group was standard individual care. We included randomized and observational designs. METHODS: Screening and independent data extraction were carried out by 4 researchers. We extracted data on study characteristics, population, design, intervention characteristics, satisfaction measurement, and outcome. Quality assessment was performed using the Cochrane tools for Clinical Trials (RoB2) and observational studies (ROBINS-I). We summarized the study, intervention, and satisfaction measurement characteristics. We presented the effect estimates of each study descriptively using a forest plot without performing an overall meta-analysis. Meta-analysis could not be performed because of variations in study designs and methods used to measure satisfaction. We presented studies reporting mean values and odds ratios in 2 separate plots. The presentation of studies in forest plots was organized by type of study design. RESULTS: A total of 7685 women participated in the studies included in the review. We found that most studies (ie, 17/20) report higher satisfaction with group care than standard individual care. Some of the noted results are lower satisfaction with group care in both studies in Sweden and 1 of the 2 studies from Canada. Higher satisfaction was present in 14 of 15 studies reporting CenteringPregnancy, Group Antenatal Care (1 study), and Adapted CenteringPregnancy (1 study). Although indicative of higher maternal satisfaction, the results are often based on statistically insignificant effect estimates with wide confidence intervals derived from small sample sizes. CONCLUSION: The evidence confirms higher maternal satisfaction with group care than with standard care. This likely reflects group care methodology, which combines clinical assessment, facilitated health promotion discussion, and community-building opportunities. This evidence will be helpful for the implementation of group care globally.

Hospital-Level NICU Capacity, Utilization, and 30-Day Outcomes in Texas.

Importance: Risk-adjusted neonatal intensive care unit (NICU) utilization and outcomes vary markedly across regions and hospitals. The causes of this variation are poorly understood. Objective: To assess the association of hospital-level NICU bed capacity with utilization and outcomes in newborn cohorts with differing levels of health risk. Design, Setting, and Participants: This population-based retrospective cohort study included all Medicaid-insured live births in Texas from 2010 to 2014 using linked vital records and maternal and newborn claims data. Participants were Medicaid-insured singleton live births (LBs) with birth weights of at least 400 g and gestational ages between 22 and 44 weeks. Newborns were grouped into 3 cohorts: very low birth weight (VLBW; <1500 g), late preterm (LPT; 34-36 weeks' gestation), and nonpreterm newborns (NPT; ≥37 weeks' gestation). Data analysis was conducted from January 2022 to October 2023. Exposure: Hospital NICU capacity measured as reported NICU beds/100 LBs, adjusted (ie, allocated) for transfers. Main Outcomes and Measures: NICU admissions and special care days; inpatient mortality and 30-day postdischarge adverse events (ie, mortality, emergency department visit, admission, observation stay). Results: The overall cohort of 874 280 single LBs included 9938 VLBW (5054 [50.9%] female; mean [SD] birth weight, 1028.9 [289.6] g; mean [SD] gestational age, 27.6 [2.6] wk), 63 160 LPT (33 684 [53.3%] female; mean [SD] birth weight, 2664.0 [409.4] g; mean [SD] gestational age, 35.4 [0.8] wk), and 801 182 NPT (407 977 [50.9%] female; mean [SD] birth weight, 3318.7 [383.4] g; mean [SD] gestational age, 38.9 [1.0] wk) LBs. Median (IQR) NICU capacity was 0.84 (0.57-1.30) allocated beds/100 LB/year. For VLBW newborns, NICU capacity was not associated with the risk of NICU admission or number of special care days. For LPT newborns, birth in hospitals with the highest compared with the lowest category of capacity was associated with a 17% higher risk of NICU admission (adjusted risk ratio [aRR], 1.17; 95% CI, 1.01-1.33). For NPT newborns, risk of NICU admission was 55% higher (aRR, 1.55; 95% CI, 1.22-1.97) in the highest- vs the lowest-capacity hospitals. The number of special care days for LPT and NPT newborns was 21% (aRR, 1.21; 95% CI,1.08-1.36) and 37% (aRR, 1.37; 95% CI, 1.08-1.74) higher in the highest vs lowest capacity hospitals, respectively. Among LPT and NPT newborns, NICU capacity was associated with higher inpatient mortality and 30-day postdischarge adverse events. Conclusions and Relevance: In this cohort study of Medicaid-insured newborns in Texas, greater hospital NICU bed supply was associated with increased NICU utilization in newborns born LPT and NPT. Higher capacity was not associated with lower risk of adverse events. These findings raise important questions about how the NICU is used for newborns with lower risk.

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.

The Relationship Between Regional Growth in Neonatal Intensive Care Capacity and Perinatal Risk.

BACKGROUND: The supply of US neonatal intensive care unit (NICU) beds and neonatologists is known to vary markedly across regions, but there have been no investigation of patterns of recent growth (1991-2017) in NICUs in relation to newborn need. OBJECTIVE: The objective of this study was to test the hypothesis that greater growth in NICU capacity occurred in neonatal intensive care regions with higher perinatal risk. RESEARCH DESIGN: A longitudinal ecological analysis with neonatal intensive care regions (n=246) as the units of analysis. Associations were tested using linear regression. SUBJECTS: All US live births ≥400 g in 1991 (n=4,103,528) and 2017 (n=3,849,644). MEASURES: Primary measures of risk were the proportions of low-birth weight and very low-birth weight newborns and mothers who were Black or had low educational attainment. RESULTS: Over 26 years, the numbers of NICU beds and neonatologists per live birth increased 42% and 200%, respectively, with marked variation in growth across regions (interquartile range: 0.3-4.1, beds; neonatologists, 0.4-1.0 per 1000 live births). A weak association of capacity with perinatal risk in 1991 was absent in 2017. There was no meaningful (ie, clinical or policy relevant) association between regional changes in capacity and regions with higher perinatal risk or lower capacity in 1991; higher increases in perinatal risk were not associated with higher capacity growth. CONCLUSION: The lack of association between newborn medical needs and the supply of NICU resources raises questions about the current effectiveness of newborn care at a population level.

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.

The association of regional perinatal risk factors and neonatal intensive care capacity for Military Health System-insured newborns.

OBJECTIVE: To characterize hospitals where military-insured newborns received care and test the association of regional perinatal risk with neonatal intensive care unit (NICU) capacity. STUDY DESIGN: We identified birth hospitals for live newborns October 2015-December 2018 (n = 296,568) and assigned newborns to health service areas (HSAs). Perinatal risk factors and the number of neonatal special care beds and neonatologists were calculated at HSA levels. Cross-sectional correlation analyses assessed perinatal risk factors and capacity across HSAs. RESULTS: 27.0% (n = 10) of military birth hospitals had special care beds (intermediate and intensive) compared with 44.3% of civilian hospitals (n = 1224; p < 0.05). The number of special care beds and neonatologists per newborn varied more than twofold across regions and were only weakly associated with the proportion of higher risk newborns (R2 < 0.05). CONCLUSIONS: The lack of meaningful association of regional perinatal risk with NICU capacity poses challenges for effective specialized care among military-associated newborns.

Regional Differences in Procedural Care of Hemorrhoid Management in Medicare Patients; Unwarranted Variation in Clinical Practice for a Medical-First Problem.

INTRODUCTION: Hemorrhoid disease is very common problem in the Medicare population. Prior work has shown significant variation in county-level practices of hemorrhoidectomy; however, regional variation of rubber band ligation (RBL) has yet to be assessed. This is important as many different practitioners from different specialties can perform this procedure repeatedly in an office-based setting. We aim to evaluate the variation of RBL and hemorrhoidectomy over a 7-y period. METHODS: Using Medicare part B claims data, we identified all beneficiaries >65 y seen for hemorrhoid disease between 2006 and 2013. Current Procedural Terminology (CPT) codes were used to identify all events for hemorrhoidectomy (46083, 46250, 46255, 46257, 46260, and 46261) or RBL (46221) by hospital referral region (HRR). We determined HRR-level rates of hemorrhoidectomy and RBL per 1000 beneficiaries adjusted for age, sex, and race. We calculated annual coefficients of variation (SD × 100/mean) for hemorrhoidectomy and RBL. RESULTS: 1.2 to 1.3 million fee-for-service Medicare beneficiaries were seen annually for evaluation of hemorrhoid disease. Mean-adjusted annual rates for hemorrhoidectomy by HRRs varied from 4.34 to 63.03 per 1000 beneficiaries. Mean-adjusted rates of RBL by HRRs varied from 7.06 to 163 per 1000 beneficiaries. Annual procedural coefficients of variation over the study period were 41-48 (high) for hemorrhoidectomy and 69-74 (very high) for RBL. CONCLUSIONS: While continued high variation exists for hemorrhoidectomy, there is very high variation for RBL between HRRs in treating hemorrhoid disease among Medicare beneficiaries. There are substantial Medicare expenditures in this high-volume population that are likely unwarranted.

Texas Hospitals' Perspectives About NICU Performance Measures: A Mixed-Methods Study.

BACKGROUND AND OBJECTIVES: This study was conducted to assess Texas hospital leaders' perspectives about neonatal intensive care (NICU) performance measures. METHODS: We conducted an explanatory mixed-methods study. First, we sent a survey and a copy of the Dartmouth Atlas of Neonatal Intensive Care to clinical and administrative leaders of 150 NICUs in Texas. We asked respondents to review the chapter that reported Texas-specific results and respond to a variety of open and closed-ended questions about the overall usefulness of the report. Second, we conducted semistructured qualitative interviews with a subset of survey respondents to better understand their perspectives. RESULTS: The survey had a 50% hospital response rate. Respondents generally found the report to be interesting and useful, and 87.7% of all respondents reported being in favor of receiving future reports with their own hospital's data benchmarked against anonymous peers. All of the specific measures in the Atlas were found to be of interest and valuable, with NICU admissions and special care days rating among the most interesting and useful. In the semistructured interviews, respondents expressed that a report with performance data would serve as a mechanism to drive change by identifying opportunities for improvement. CONCLUSION: Texas hospital NICU leaders are interested in routinely receiving more information about their own NICU's performance anonymously benchmarked against their peers. This would facilitate a greater understanding of a unit's functionality, as well as accelerate clinically appropriate quality improvement initiatives, which together have the potential to deliver better newborn care at lower costs for all Texans.

Accuracy and Completeness of Intermediate-Level Nursery Descriptions on Hospital Websites.

Importance: Birth at hospitals with an appropriate level of neonatal intensive care units is associated with better neonatal outcomes. The primary sources for information about hospital neonatal unit levels for prospective parents, referring physicians, and the public are hospital websites, but the accuracy of neonatal unit capacity is unclear. Objective: To determine if hospital websites accurately report the capabilities of intermediate (ie, level II) units, which are intended for care of newborns with low to moderate illness levels or the stabilization of newborns prior to transfer. Design, Setting, and Participants: This cross-sectional study compared descriptions of level II unit capabilities on hospital web pages in 10 large states with their respective state-level designation. Analyzed units were located in the 10 states with the highest number of live births in 2019 (excluding states with no level II regulations) and had active websites as of May 2021. Main Outcomes and Measures: Hospital websites were assessed for whether there was any mention of the unit, the description of the unit was provided, the unit was identified as a level III or both levels II and III, the terms "neonatal intensive care unit" or "NICU" were used without indicating limits in care available or newborn acuity, or the unit was claimed to provide the most advanced level of care. Results: A total 28 states had no regulation of nursery unit levels; in the 10 large, regulated states, web descriptions of level II units were incomplete for 39.2% of hospitals (95% CI, 33.3%-45.3%) and inaccurate for 24.6% (95% CI, 19.6%-30.2%). Within incomplete descriptions, 2.6% (95% CI, 1.1%-5.3%) of hospitals did not mention an advanced care unit and 22.0% (95% CI, 17.2%-27.5%) identified a level II unit without providing further description. Within inaccurate descriptions, 25.4% (95% CI, 20.3%-31.0%) of hospitals described the unit as a "neonatal intensive care unit" or "NICU" without any qualification and 9.3% (95% CI, 6.3%-13.5%) claimed that the unit provided the most advanced neonatal care or care to the sickest newborns; 3.0% of hospitals (95% CI, 1.3%-6.0%) stated that their unit was level III and 1.5% (95% CI, 0.4%-3.8%) as level II and III. Across states there was substantial variation in rates of incompleteness and inaccuracy. Conclusions and Relevance: Incomplete and inaccurate hospital web descriptions of intermediate newborn care units are common. These deficits can mislead parents, clinicians, and the public about the appropriateness of a hospital for sick newborns, which raises important ethical questions.

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.

Unwarranted geographic variation in paediatric health care in the United States and Norway.

AIM: We present the four US and Norwegian paediatric and neonatal health atlases and discuss the concept and causes of unwarranted geographic variation in paediatric health care. METHODS: The four atlases analyse data from both publicly owned health registers, registers of insurance claims and quality registers. Healthcare utilisation is counted per recipient in predefined hospital service areas, adjusted for relevant confounders and presented as extremal ratios between the highest and lowest rate. RESULTS: The atlases describe geographic variation in rates for primary health care, hospital admissions, outpatient visits, treatment procedures and diagnostic testing. A difference in extremal ratios from 2 to 4 between health service areas are common, and for some procedures extremal ratios is even higher. CONCLUSION: Variation in healthcare utilisation of the magnitude described in these four atlases cannot be explained by differences in population morbidity or patient preferences and are therefore characterised as unwarranted variation. Individual provider preferences or supply of resources such as hospital beds may explain the observed variation.

Trends in neonatal intensive care unit admissions by race/ethnicity in the United States, 2008-2018.

To examine temporal trends of NICU admissions in the U.S. by race/ethnicity, we conducted a retrospective cohort analysis using natality files provided by the National Center for Health Statistics at the U.S. Centers for Disease Control and Prevention. A total of 38,011,843 births in 2008-2018 were included. Crude and risk-adjusted NICU admission rates, overall and stratified by birth weight group, were compared between white, black, and Hispanic infants. Crude NICU admission rates increased from 6.62% (95% CI 6.59-6.65) to 9.07% (95% CI 9.04-9.10) between 2008 and 2018. The largest percentage increase was observed among Hispanic infants (51.4%) compared to white (29.1%) and black (32.4%) infants. Overall risk-adjusted rates differed little by race/ethnicity, but birth weight-stratified analysis revealed that racial/ethnic differences diminished in the very low birth weight (< 1500 g) and moderately low birth weight (1500-2499 g) groups. Overall NICU admission rates increased by 37% from 2008 to 2018, and the increasing trends were observed among all racial and ethnic groups. Diminished racial/ethnic differences in NICU admission rates in very low birth weight infants may reflect improved access to timely appropriate NICU care among high-risk infants through increasing health care coverage coupled with growing NICU supply.

Neonatal Intensive Care Utilization and Postdischarge Newborn Outcomes: A Population-based Study of Texas Medicaid Insured Infants.

OBJECTIVE: To test the hypothesis that newborn infants cared for in hospitals with greater utilization of neonatal intensive care experienced fewer postdischarge adverse events. STUDY DESIGN: We developed 3 retrospective population-based cohorts of Texas Medicaid insured singletons born in 2010-2014 (very low birth weight [VLBW n = 11 139], late preterm [n = 57 509], and non-preterm [n = 664 447]) who received care in higher volume hospitals with level III/IV neonatal intensive care units (NICUs). Measures of NICU care were hospital-level risk adjusted NICU admission rates, special care days (days of nonroutine care) per infant, and the percent of intensive (highest billable care code) special care days. The units of analysis were hospitals (n = 80) and the primary outcome was an adverse event, (defined as admission, emergency department visit, or death) within 30 days postdischarge. RESULTS: Higher use of NICU care at a hospital level was not associated with lower postdischarge 30-day adverse event. Infants cared for in hospitals with above vs below median special care day rates experienced slightly higher postdischarge adverse event per 100 infants (VLBW: 14.01 [95% CI 12.74-15.27] vs 11.84 [10.52-13.16], P < .05; late preterm: 7.33 [6.68-7.97] vs 6.28 [5.87-6.69], P < .01; non-preterm: 4.47 [4.17-4.76] vs 3.97 [3.75-4.18], P < .01). Weak positive associations (Pearson correlations of 0.31-0.37, P < .01) were observed for adverse event with special care days; in no instance was a negative association observed between NICU utilization and adverse event. CONCLUSION: Higher utilization of NICU care was not associated with lower rates of short-term events suggesting that there may be opportunities to safely decrease admission rates and length of NICU stays.

Infant Mortality Associated With Prenatal Opioid Exposure.

Importance: Knowledge of health outcomes among opioid-exposed infants is limited, particularly for those not diagnosed with neonatal opioid withdrawal syndrome (NOWS). Objectives: To describe infant mortality among opioid-exposed infants and identify how mortality risk differs in opioid-exposed infants with and without a diagnosis of NOWS compared with infants without opioid exposure. Design, Setting, and Participants: A retrospective cohort study of maternal-infant dyads was conducted, linking health care claims with vital records for births from January 1, 2010, to December 31, 2014, with follow-up of infants until age 1 year (through 2015). Maternal-infant dyads were included if the infant was born in Texas at 22 to 43 weeks' gestational age to a woman aged 15 to 44 years insured by Texas Medicaid. Data analysis was performed from May 2019 to October 2020. Exposure: The primary exposure was prenatal opioid exposure, with infants stratified by the presence or absence of a diagnosis of NOWS during the birth hospitalization. Main Outcomes and Measures: Risk of infant mortality (death at age <365 days) was examined using Kaplan-Meier and log-rank tests. A series of logistic regression models was estimated to determine associations between prenatal opioid exposure and mortality, adjusting for maternal and neonatal characteristics and clustering infants at the maternal level to account for statistical dependence owing to multiple births during the study period. Results: Among 1 129 032 maternal-infant dyads, 7207 had prenatal opioid exposure, including 4238 diagnosed with NOWS (mean [SD] birth weight, 2851 [624] g) and 2969 not diagnosed with NOWS (mean [SD] birth weight, 2971 [639] g). Infant mortality was 20 per 1000 live births for opioid-exposed infants not diagnosed with NOWS, 11 per 1000 live births for infants with NOWS, and 6 per 1000 live births in the reference group (P < .001). After adjusting for maternal and neonatal characteristics, mortality in infants with a NOWS diagnosis was not significantly different from the reference population (odds ratio, 0.82; 95% CI, 0.58-1.14). In contrast, the odds of mortality in opioid-exposed infants not diagnosed with NOWS was 72% greater than the reference population (odds ratio, 1.72; 95% CI, 1.25-2.37). Conclusions and Relevance: In this study, opioid-exposed infants appeared to be at increased risk of mortality, and the treatments and supports provided to those diagnosed with NOWS may be protective. Interventions to support opioid-exposed maternal-infant dyads are warranted, regardless of the perceived severity of neonatal opioid withdrawal.

Choosing wisely for the other 80%: What we need to know about the more mature newborn and NICU care.

Although neonatal intensive unit (NICU) care is envisioned as the care of very immature infants, more than 95% of births and 80% of NICU admissions are of more mature newborns-infants born at 34 or more weeks' gestation. In spite of the size of this population there are important gaps in the understanding of their needs and optimal management as reflected by remarkably large unexplained variation in their care. The goal of this article is to describe what is known about the more mature, higher birth weight newborn population's use of NICU care and highlight important gaps in knowledge and obstacles to research. Research priorities are identified: including (1) the need for birth population based rather than NICU based studies, and (2) population specific data elements. Summary: More mature newborns-infants of 34 or more weeks' gestation-account for most NICU admissions. There are large gaps in the understanding of their needs and optimal management as reflected by large unexplained variation in their care. We enumerate these gaps in current knowledge and suggest research priorities to address them.

Epidemiology of Surgical Procedures, Anesthesia, and Imaging Studies by Gestational Age during the First Year of Life in Medicaid-Insured Infants.

OBJECTIVES: To evaluate the rate of surgical procedures, anesthetic use, and imaging studies by prematurity status for the first year of life we analyzed data for Texas Medicaid-insured newborns. STUDY DESIGN: We developed a retrospective population-based live birth cohort of newborn infants insured by Texas Medicaid in 2010-2014 with 4 subcohorts: extremely premature, very premature, moderate/late premature, and term. RESULTS: In 1 102 958 infants, surgical procedures per 100 infants were 135.9 for extremely premature, 35.4 for very premature, 15.5 for moderate/late premature, and 6.5 for term. Anesthetic use was 62.0 for extremely premature, 20.8 for very premature, 11.1 for moderate/late premature, and 5.6 for the term subcohort. The most common procedures in the extremely premature were neurosurgery, intubations, and procedures that facilitated caloric intake (gastrostomy tubes and fundoplications). The annual rates for the first year of life for chest radiograph ranged from 15.0 per year for the extremely premature cohort to 0.6 for term infants and for magnetic resonance imaging (MRI) from 0.3 to 0.01. MRI was the most common imaging study with anesthesia support in all maturity levels. MRIs were done in extremely premature without anesthesia in over 90% and in term infants in 57.2%. CONCLUSIONS: Surgical procedures, anesthetic use, and imaging studies in infants are common and more frequent with higher a degree of prematurity while the use of anesthesia is lower in more premature newborns. These findings can provide direction for outcome studies of surgery and anesthesia exposure.

Small-Area Variation in the Care of Low-Risk Neonates in Massachusetts and Texas.

BACKGROUND: The success of neonatal intensive care in improving outcomes for critically ill neonates led to rapid growth of NICU use in the United States, despite a relatively stable birth cohort. Less is known about NICU use among late-preterm and term infants, although recent studies have observed wide variation in their care patterns. In this study, we measure special care days (SCDs) (intermediate or intensive), length of stay, and readmission rates among low-risk neonates across regions within 2 states. METHODS: In this retrospective cohort study, we analyzed data from Massachusetts (all payer claims) and Texas (BlueCross BlueShield) from 2009 to 2012. A low-risk cohort was defined by identifying newborns with diagnostic codes indicating a gestational age ≥35 weeks and birth weight ≥1500 g and excluding infants with diagnoses and procedures generally necessitating nonroutine care. Outcomes were measured across neonatal intensive care regions by diagnosis and payer type. RESULTS: We identified 255 311 low-risk newborns. SCD use varied nearly sixfold across neonatal intensive care regions. Use was highest among commercially insured Texas infants (8.42 per 100), followed by Medicaid-insured Massachusetts infants (6.67 per 100) and commercially insured Massachusetts infants (5.15 per 100). Coefficients of variation indicated high variation within each payer-specific cohort and moderate to high variation across each condition. No consistent relationship between regional SCD use and 30-day readmissions was identified. CONCLUSIONS: Use of NICU services varied widely across regions in this cohort of low-risk infants. Further investigation is needed to delineate outcomes associated with patterns of care received by this population.

Geographical variation in palliative cancer care in a tax-based healthcare system: drug reimbursement in Denmark.

BACKGROUND: In Denmark, a tax-based universal healthcare setting, drug reimbursement for terminal illness (DRTI) should be equally accessible for all terminally ill patients. Examining DRTI status by regions provides new knowledge on inequality in palliative care provision and associated factors. This study aims to investigate geographical variation in DRTI among terminally ill cancer patients. METHODS: We linked socioeconomic and medical data from 135 819 Danish cancer decedents in the period 2007-15 to regional healthcare characteristics. We analyzed associations between region of residence and DRTI. Prevalence ratios (PR) for DRTI were estimated using generalized linear models adjusted for patient factors (age, gender, comorbidity and socioeconomic profile) and multilevel models adjusted for both patient factors and regional healthcare capacity (patients per general practitioner, numbers of hospital and hospice beds). RESULTS: DRTI allocation differed substantially across Danish regions. Healthcare capacity was associated with DRTI with a higher probability of DRTI among patients living in regions with high compared with low hospice bed supply (PR 1.13, 95% CI 1.10-1.17). Also, the fully adjusted PR of DRTI was 0.94 (95% CI 0.91-0.96) when comparing high with low number of hospital beds. When controlled for both patient and regional healthcare characteristics, the PR for DRTI was 1.17 (95% CI 1.14-1.21) for patients living in the Central Denmark Region compared with the Capital Region. CONCLUSION: DRTI status varied across regions in Denmark. The variation was associated with the distribution of healthcare resources. These findings highlight difficulties in ensuring equal access to palliative care even in a universal healthcare system.

Health system factors and caesarean sections in Kosovo: a cross-sectional study.

OBJECTIVE: To investigate the association of caesarean section rates with the health system characteristics in the public hospitals of Kosovo. DESIGN: Cross-sectional survey. SETTING: Five largest public hospitals in Kosovo. PARTICIPANTS: 859 women with low-risk deliveries who delivered from April to May 2015 in five public hospitals in Kosovo. OUTCOME MEASURES: The prespecified outcomes were the crude and adjusted OR of births delivered with caesarean section by health system characteristics such as delivery by the physician who provided antenatal care, health insurance status and other. Additional prespecified outcomes were caesarean section rates and crude ORs for delivery with caesarean in each public hospital. RESULTS: Women with personal monthly income had increased odds for caesarean (OR 1.55, 95% CI 1.06 to 2.27), as did women with private health insurance coverage (OR 3.44, 95% CI 1.20 to 9.85). Women instructed by a midwife on preparation for delivery had decreasing odds (OR 0.32, 95% CI 0.19 to 0.51) while women having preference for a caesarean had increasing odds for delivery with caesarean (OR 3.84, 95% CI 1.96 to 7.51). The odds for caesarean increased also in the case of delivery by a physician who provided antenatal care (OR 2.06, 95% CI 1.16 to 3.67) and delivery during office hours (OR 2.36, 95% CI 1.37 to 4.05), while delivery at the University Clinical Centre of Kosovo decreased the odds for caesarean (OR 0.46, 95% CI 0.24 to 0.90). CONCLUSIONS: We found that several health system characteristics are associated with the increase of caesarean sections in a low-risk population of delivering women in public hospitals of Kosovo. These findings should be explored further and addressed via policy measures that would tackle provision of unnecessary caesareans. The study findings could assist Kosovo to develop corrective policies in addressing overuse of caesareans and may provide useful information for other middle-income countries.