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Goodman DC, Stuchlik P, Ganduglia-Cazaban C, Tyson JE, Leyenaar J, Avritscher EBC, Rysavy M, Gautham KS, Lynch D, Stukel TA. Hospital-Level NICU Capacity, Utilization, and 30-Day Outcomes in Texas. JAMA Netw Open 2024; 7:e2355982. [PMID: 38353952 PMCID: PMC10867701 DOI: 10.1001/jamanetworkopen.2023.55982] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/28/2023] [Accepted: 12/20/2023] [Indexed: 02/16/2024] Open
Abstract
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.
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Affiliation(s)
- David C. Goodman
- The Dartmouth Institute for Health Policy and Clinical Practice, Department of Pediatrics, Geisel School of Medicine at Dartmouth, Hanover, New Hampshire
- The Children’s Hospital at Dartmouth, Lebanon, New Hampshire
| | - Patrick Stuchlik
- The Dartmouth Institute for Health Policy and Clinical Practice, Department of Pediatrics, Geisel School of Medicine at Dartmouth, Hanover, New Hampshire
| | - Cecilia Ganduglia-Cazaban
- Center for Health Care Data and Department of Management, Policy, and Community Health, School of Public Health, The University of Texas Health Science Center at Houston
| | - Jon E. Tyson
- Institute for Clinical Research and Learning Health Care, McGovern Medical School at The University of Texas Health Science Center at Houston
| | - JoAnna Leyenaar
- The Dartmouth Institute for Health Policy and Clinical Practice, Department of Pediatrics, Geisel School of Medicine at Dartmouth, Hanover, New Hampshire
- The Children’s Hospital at Dartmouth, Lebanon, New Hampshire
| | - Elenir B. C. Avritscher
- Institute for Clinical Research and Learning Health Care, McGovern Medical School at The University of Texas Health Science Center at Houston
| | - Mathew Rysavy
- Institute for Clinical Research and Learning Health Care, McGovern Medical School at The University of Texas Health Science Center at Houston
| | - Kanekal S. Gautham
- Division of Neonatology, Department of Pediatrics, Nemours Children’s Health, Orlando, Florida
| | | | - Therese A. Stukel
- ICES, Toronto, Ontario, Canada
- Institute of Health Policy, Management and Evaluation, University of Toronto, Ontario, Canada
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Pang EM, Liu J, Lu T, Joshi NS, Gould J, Lee HC. Evaluating Epidemiologic Trends and Variations in NICU Admissions in California, 2008 to 2018. Hosp Pediatr 2023; 13:976-983. [PMID: 37867440 PMCID: PMC10593864 DOI: 10.1542/hpeds.2023-007190] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/24/2023]
Abstract
OBJECTIVE Previous research suggests increasing numbers of and variation in NICU admissions. We explored whether these trends were reflected in California by examining NICU admissions and birth data in aggregate and among patient and hospital subpopulations more susceptible to variations in care. METHODS In this retrospective cohort study, we evaluated NICU utilization between 2008 and 2018 for all live births at hospitals that provide data to the California Perinatal Quality Care Collaborative. We compared hospital- and admission-level data across birth weight (BW), gestational age (GA), and illness acuity categories. Trends were analyzed by using linear regression models. RESULTS We identified 472 402 inborn NICU admissions and 3 960 441 live births across 144 hospitals. Yearly trends in NICU admissions remained stable among all births and higher acuity births (mean admission rates 11.9% and 4.1%, respectively). However, analysis of the higher acuity births revealed significant increases in NICU admission rates for neonates with higher BW and GA (BW ≥ 2500g: 1.8% in 2008, 2.1% in 2018; GA ≥ 37 weeks: 1.5% in 2010, 1.8% in 2018). Kaiser hospitals had a decreasing trend of NICU admissions compared to non-Kaiser hospitals (Kaiser: 13.9% in 2008, 10.1% in 2018; non-Kaiser: 11.3% in 2008, 12.3% in 2018). CONCLUSIONS Overall NICU admission rates in California were stable from 2008-2018. However, trends similar to national patterns emerged when stratified by infant GA, BW, and illness acuity as well as Kaiser or non-Kaiser hospitals, with increasing admission rates for infants born at higher BW and GA and within non-Kaiser hospitals.
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Affiliation(s)
- Emily M. Pang
- Stanford University School of Medicine, Stanford, California
| | - Jessica Liu
- Division of Neonatology, Department of Pediatrics
- California Perinatal Quality Care Collaborative (CPQCC)
| | - Tianyao Lu
- Division of Neonatology, Department of Pediatrics
- California Perinatal Quality Care Collaborative (CPQCC)
| | - Neha S. Joshi
- Division of Pediatric Hospital Medicine, Department of Pediatrics, Stanford University, Stanford, California
| | - Jeffrey Gould
- Division of Neonatology, Department of Pediatrics
- California Perinatal Quality Care Collaborative (CPQCC)
| | - Henry C. Lee
- California Perinatal Quality Care Collaborative (CPQCC)
- Division of Neonatology, Department of Pediatrics, University of California San Diego, San Diego, California
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Goodman DC, Romano CJ, Hall C, Bukowinski AT, Mu TS, Gumbs GR, Conlin AMS, Vereen RJ, Leyenaar JK. The association of regional perinatal risk factors and neonatal intensive care capacity for Military Health System-insured newborns. J Perinatol 2023; 43:787-795. [PMID: 36792685 DOI: 10.1038/s41372-023-01633-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/26/2022] [Revised: 02/03/2023] [Accepted: 02/07/2023] [Indexed: 02/17/2023]
Abstract
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.
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Affiliation(s)
| | - Celeste J Romano
- Leidos, Inc., San Diego, CA, USA
- Deployment Health Research Department, Naval Health Research Center, San Diego, CA, USA
| | - Clinton Hall
- Leidos, Inc., San Diego, CA, USA
- Deployment Health Research Department, Naval Health Research Center, San Diego, CA, USA
| | - Anna T Bukowinski
- Leidos, Inc., San Diego, CA, USA
- Deployment Health Research Department, Naval Health Research Center, San Diego, CA, USA
| | - Thornton S Mu
- Uniformed Services University of the Health Services, Bethesda, MD, USA
- Brooke Army Medical Center, San Antonio, TX, USA
| | - Gia R Gumbs
- Leidos, Inc., San Diego, CA, USA
- Deployment Health Research Department, Naval Health Research Center, San Diego, CA, USA
| | - Ava Marie S Conlin
- Deployment Health Research Department, Naval Health Research Center, San Diego, CA, USA
| | | | - JoAnna K Leyenaar
- Geisel School of Medicine at Dartmouth, Hanover, NH, USA
- Children's Hospital at Dartmouth, Lebanon, NH, USA
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Eid M, Bastien A, Shaw R, Goodman DC, Ivatury SJ. Regional Differences in Procedural Care of Hemorrhoid Management in Medicare Patients; Unwarranted Variation in Clinical Practice for a Medical-First Problem. J Surg Res 2023; 283:626-631. [PMID: 36446250 DOI: 10.1016/j.jss.2022.10.082] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/11/2022] [Revised: 08/07/2022] [Accepted: 10/08/2022] [Indexed: 11/27/2022]
Abstract
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.
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Affiliation(s)
- Mark Eid
- Department of Surgery, Dartmouth-Hitchcock Medical Center, Lebanon, New Hampshire; VA Outcomes Group, VA Quality Scholars Program, VA Medical Center, White River Junction, Vermont; Geisel School of Medicine, Hanover, New Hampshire
| | | | - Robert Shaw
- Department of Surgery, Dartmouth-Hitchcock Medical Center, Lebanon, New Hampshire
| | - David C Goodman
- Geisel School of Medicine, Hanover, New Hampshire; The Dartmouth Institute for Health Policy and Clinical Practice, Lebanon, New Hampshire
| | - S Joga Ivatury
- Department of Surgery, Dartmouth-Hitchcock Medical Center, Lebanon, New Hampshire; Geisel School of Medicine, Hanover, New Hampshire; University of Texas at Austin, Dell School of Medicine, Austin, Texas.
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Kim Y, Ganduglia-Cazaban C, Chan W, Lee M, Goodman DC. Trends in neonatal intensive care unit admissions by race/ethnicity in the United States, 2008-2018. Sci Rep 2021; 11:23795. [PMID: 34893675 PMCID: PMC8664880 DOI: 10.1038/s41598-021-03183-1] [Citation(s) in RCA: 30] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2021] [Accepted: 11/22/2021] [Indexed: 11/21/2022] Open
Abstract
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.
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Affiliation(s)
- Youngran Kim
- Department of Neurology, McGovern Medical School, The University of Texas Health Science Center, 6431 Fannin St, Houston, TX, 77030, USA.
| | - Cecilia Ganduglia-Cazaban
- Division of Management, Policy and Community Health, School of Public Health, The University of Texas Health Science Center, Houston, TX, USA
| | - Wenyaw Chan
- Department of Biostatistics and Data Science, School of Public Health, The University of Texas Health Science Center, Houston, TX, USA
| | - MinJae Lee
- Division of Biostatistics, Department of Population and Data Sciences, The University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - David C Goodman
- The Dartmouth Institute for Health Policy and Clinical Practice, Hanover, NH, USA.,Department of Pediatrics, Geisel School of Medicine at Dartmouth, Hanover, NH, USA
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