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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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Lockyear C, Coe K, Greenberg RG, Clark RH, Aleem S. Trends in morbidities of late preterm infants in the neonatal intensive care unit. J Perinatol 2023; 43:1379-1384. [PMID: 37393396 DOI: 10.1038/s41372-023-01705-5] [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: 10/31/2022] [Revised: 05/20/2023] [Accepted: 06/15/2023] [Indexed: 07/03/2023]
Abstract
OBJECTIVE To characterize demographics and trends in length of stay (LOS), morbidities, and mortality in late preterm infants. STUDY DESIGN Cohort study of infants born between 34 0/7 and 36 6/7 weeks gestation between 1999 and 2018 without major congenital anomalies at Pediatrix Medical Group neonatal intensive care units (NICUs). RESULTS 307,967 infants from 410 NICUs met inclusion criteria. The median (25th-75th percentile) LOS was 11 (8-16) days in the entire period. Postmenstrual age (PMA) at discharge increased during the cohort for all gestational ages (p < 0.001). There was a decrease in invasive ventilation, receipt of phototherapy, and reflux medications observed (p < 0.001). CONCLUSION In this large cohort, given 20 years of time for medical advancement, there was no significant improvement in the LOS of late preterm infants. All infants had an increased PMA at discharge, despite multiple practice changes that were observed.
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Affiliation(s)
| | - Kristi Coe
- Duke School of Nursing, Duke University, Durham, NC, USA
| | - Rachel G Greenberg
- Department of Pediatrics, Duke University, Durham, NC, USA
- Duke Clinical Research Institute, Durham, NC, USA
| | - Reese H Clark
- Pediatrix Center for Research, Education, Quality, and Safety, Sunrise, FL, USA
| | - Samia Aleem
- Department of Pediatrics, Duke University, Durham, NC, USA.
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Della PR, Huang H, Roberts PA, Porter P, Adams E, Zhou H. Risk factors associated with 31-day unplanned hospital readmission in newborns: a systematic review. Eur J Pediatr 2023; 182:1469-1482. [PMID: 36705723 PMCID: PMC10167195 DOI: 10.1007/s00431-023-04819-2] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/02/2022] [Revised: 12/30/2022] [Accepted: 01/12/2023] [Indexed: 01/28/2023]
Abstract
UNLABELLED The purpose of this study is to synthesize evidence on risk factors associated with newborn 31-day unplanned hospital readmissions (UHRs). A systematic review was conducted searching CINAHL, EMBASE (Ovid), and MEDLINE from January 1st 2000 to 30th June 2021. Studies examining unplanned readmissions of newborns within 31 days of discharge following the initial hospitalization at the time of their birth were included. Characteristics of the included studies examined variables and statistically significant risk factors were extracted from the inclusion studies. Extracted risk factors could not be pooled statistically due to the heterogeneity of the included studies. Data were synthesized using content analysis and presented in narrative and tabular form. Twenty-eight studies met the eligibility criteria, and 17 significant risk factors were extracted from the included studies. The most frequently cited risk factors associated with newborn readmissions were gestational age, postnatal length of stay, neonatal comorbidity, and feeding methods. The most frequently cited maternal-related risk factors which contributed to newborn readmissions were parity, race/ethnicity, and complications in pregnancy and/or perinatal period. CONCLUSION This systematic review identified a complex and diverse range of risk factors associated with 31-day UHR in newborn. Six of the 17 extracted risk factors were consistently cited by studies. Four factors were maternal (primiparous, mother being Asian, vaginal delivery, maternal complications), and two factors were neonatal (male infant and neonatal comorbidities). Implementation of evidence-based clinical practice guidelines for inpatient care and individualized hospital-to-home transition plans, including transition checklists and discharge readiness assessments, are recommended to reduce newborn UHRs. WHAT IS KNOWN • Attempts have been made to identify risk factors associated with newborn UHRs; however, the results are inconsistent. WHAT IS NEW • Six consistently cited risk factors related to newborn 31-day UHRs. Four maternal factors (primiparous, mother being Asian, vaginal delivery, maternal complications) and 2 neonatal factors (male infant and neonatal comorbidities). • The importance of discharge readiness assessment, including newborn clinical fitness for discharge and parental readiness for discharge. Future research is warranted to establish standardised maternal and newborn-related variables which healthcare providers can utilize to identify newborns at greater risk of UHRs and enable comparison of research findings.
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Affiliation(s)
- Phillip R Della
- Curtin School of Nursing, Curtin University, GPO Box U 1987, Perth, Western Australia, 6845, Australia
| | - Haichao Huang
- School of Nursing, Tianjin University of Traditional Chinese Medicine, Tianjin, China
| | - Pamela A Roberts
- Curtin School of Nursing, Curtin University, GPO Box U 1987, Perth, Western Australia, 6845, Australia
| | - Paul Porter
- Curtin School of Nursing, Curtin University, GPO Box U 1987, Perth, Western Australia, 6845, Australia.,Joondalup Health Campus, Joondalup, Western Australia, Australia
| | - Elizabeth Adams
- Curtin School of Nursing, Curtin University, GPO Box U 1987, Perth, Western Australia, 6845, Australia.,European Federation of Nurses Associations, Clos du Parnasse, Brussels, 11A B-1050, Belgium
| | - Huaqiong Zhou
- Curtin School of Nursing, Curtin University, GPO Box U 1987, Perth, Western Australia, 6845, Australia. .,General Surgical Ward, Perth Children's Hospital, Nedlands, Western Australia, Australia.
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Azadeh-Fard N, Muchiri S, Pakdil F, Beazoglou H. Examining readmission rates of congestive heart failure patients in the United States between 2010 and 2017: Does length of stay matter? INTERNATIONAL JOURNAL OF HEALTHCARE MANAGEMENT 2022. [DOI: 10.1080/20479700.2022.2157074] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Affiliation(s)
- Nasibeh Azadeh-Fard
- Rochester Institute of Technology, Department of Industrial and Systems Engineering, Rochester, NY, USA
| | - Steve Muchiri
- Eastern Connecticut State University, Department of Economics, Willimantic, CT, USA
| | - Fatma Pakdil
- Eastern Connecticut State University, Department of Business Administration, Willimantic, CT, USA
| | - Hannah Beazoglou
- Eastern Connecticut State University, Department of Business Administration, Willimantic, CT, USA
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Amsalu R, Oltman SP, Baer RJ, Medvedev MM, Rogers EE, Jelliffe-Pawlowski L. Incidence, Risk Factors, and Reasons for 30-Day Hospital Readmission Among Healthy Late Preterm Infants. Hosp Pediatr 2022; 12:639-649. [PMID: 35694876 PMCID: PMC9997672 DOI: 10.1542/hpeds.2021-006215] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/28/2023]
Abstract
OBJECTIVE Late preterm infants have an increased risk of morbidity relative to term infants. We sought to determine the rate, temporal trend, risk factors, and reasons for 30-day readmission. METHODS This is a retrospective cohort study of infants born at 34 to 42 weeks' gestation in California between January 1, 2011, and December 31, 2017. Birth certificates maintained by California Vital Statistics were linked to discharge records maintained by the California Office of Statewide Health Planning and Development. Multivariable logistic regression was used to identify risk factors and derive a predictive model. RESULTS Late preterm infants represented 4.3% (n = 122 014) of the study cohort (n = 2 824 963), of which 5.9% (n = 7243) were readmitted within 30 days. Compared to term infants, late preterm infants had greater odds of readmission (odds ratio [OR]: 2.34 [95% confidence interval (CI): 2.28-2.40]). The temporal trend indicated increases in all-cause and jaundice-specific readmission infants (P < .001). The common diagnoses at readmission were jaundice (58.9%), infections (10.8%), and respiratory complications (3.5%). In the adjusted model, factors that were associated with greater odds of readmission included assisted vaginal birth, maternal age ≥34 years, diabetes, chorioamnionitis, and primiparity. The model had predictive ability of 60% (c-statistic 0.603 [95% CI: 0.596-0.610]) in late preterm infants who had <5 days length of stay at birth. CONCLUSION The findings contribute important information on what factors increase or decrease the risk of readmission. Longitudinal studies are needed to examine promising hospital predischarge and follow-up care practices.
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Affiliation(s)
| | - Scott P Oltman
- California Preterm Birth Initiative
- Departments of Epidemiology & Biostatistics
| | - Rebecca J Baer
- California Preterm Birth Initiative
- Department of Pediatrics, University of California San Diego, La Jolla, California
| | - Melissa M Medvedev
- Pediatrics, University of California San Francisco, San Francisco, California
- Maternal, Adolescent, Reproductive and Child Health Centre, London School of Hygiene & Tropical Medicine, London, United Kingdom
| | - Elizabeth E Rogers
- Pediatrics, University of California San Francisco, San Francisco, California
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Neonatal Intensive Care Utilization and Postdischarge Newborn Outcomes: A Population-based Study of Texas Medicaid Insured Infants. J Pediatr 2021; 236:62-69.e3. [PMID: 33940013 DOI: 10.1016/j.jpeds.2021.04.058] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/15/2020] [Revised: 04/22/2021] [Accepted: 04/26/2021] [Indexed: 11/21/2022]
Abstract
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.
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Khasawneh W, Alyousef R, Akawi Z, Al-Dhoon A, Odat A. Maternal and Perinatal Determinants of Late Hospital Discharge Among Late Preterm Infants; A 5-Year Cross-Sectional Analysis. Front Pediatr 2021; 9:685016. [PMID: 34222151 PMCID: PMC8242188 DOI: 10.3389/fped.2021.685016] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/24/2021] [Accepted: 05/19/2021] [Indexed: 11/13/2022] Open
Abstract
Background: Although late preterm infants (LPIs) account for the majority of preterm births, they are mistakenly labelled and treated as "near term." Whether longer initial hospital stay improves their outcomes and lowers readmission is controversial. The aim of this study is to identify maternal and perinatal factors associated with longer hospital stay and to assess the rate of readmission. Methods: The medical records of LPIs delivered at an academic center in Jordan over a 5-year period were reviewed. They were divided according to their initial hospital stay into: Early discharge group (ED, ≤ 3 days) and late discharge group (LD, > 3 days). Maternal and perinatal factors associated with > 3-day hospital stay were reported. The rate of readmission was compared between both groups. Results: 2236 LPIs were included in the analysis representing 13% of total births and 81% of premature births. LD group constituted 54%. A thousand two hundred forty three (56%) required admission to NICU. Factors associated with longer hospital stay included maternal prolonged rupture of membranes (AOR 1.9, 95% C.I 1.5, 2.4, p 0.000), C-section delivery (AOR 2.4, 95% C.I 1.9, 3, p 0.001), <35-week gestation (AOR 3.8, 95% C.I 2.6, 5, p 0.000), small-for-gestational age (AOR 1.9, 95% C.I 1.1, 3.8, p 0.03), birthweight <2,500 g (AOR 1.3, 95% C.I 1.1, 1.6, p 0.02), NICU admission (AOR 6.3, 95% C.I 3.4, 11.5, p 0.000), RDS (AOR 2.3, 95% C.I 1.5, 3.6, p 0.005), surfactant therapy (AOR 5, 95% C.I 1.9, 13.5, p 0.001), use of CPAP (AOR 1.7, 95% C.I 1.2, 2.2, p 0.001), jaundice (AOR 11.2, 95% C.I 7.7, 16.2, p 0.000), and sepsis (AOR 10.3, 95% C.I 4.8, 22, p 0.000). Readmission rate was 19% among the LD group and 13% among the ED group. Conclusion: LPIs are at high risk for developing prematurity-related morbidities and the duration of their initial hospital stay can be anticipated based on certain predisposing maternal and perinatal factors. Late discharge of LPIs does not lower the rate of readmission.
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Affiliation(s)
- Wasim Khasawneh
- Department of Pediatrics and Neonatology, Faculty of Medicine, Jordan University of Science and Technology, Irbid, Jordan
| | - Rahaf Alyousef
- Department of Pediatrics and Neonatology, Faculty of Medicine, Jordan University of Science and Technology, Irbid, Jordan
| | - Zuhour Akawi
- Department of Pediatrics and Neonatology, Faculty of Medicine, Jordan University of Science and Technology, Irbid, Jordan
| | - Areen Al-Dhoon
- Department of Pediatrics and Neonatology, Faculty of Medicine, Jordan University of Science and Technology, Irbid, Jordan
| | - Ahlam Odat
- Department of Pediatrics and Neonatology, Faculty of Medicine, Jordan University of Science and Technology, Irbid, Jordan
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Isayama T, O'Reilly D, Beyene J, Shah PS, Lee SK, McDonald SD. Hospital Care Cost and Resource Use of Early Discharge of Healthy Late Preterm and Term Singletons: A Population-based Cohort Study and Cost Analysis. J Pediatr 2020; 226:96-105.e7. [PMID: 32610167 DOI: 10.1016/j.jpeds.2020.06.060] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/23/2020] [Revised: 05/12/2020] [Accepted: 06/19/2020] [Indexed: 12/22/2022]
Abstract
OBJECTIVE To assess the hospital care cost and resource use associated with discharge timings after late preterm and term births. STUDY DESIGN This population-based cohort study and cost analysis included all healthy singleton late preterm (35-36 weeks gestational age) and term infants (37-41 weeks gestational age) born vaginally in hospitals in Ontario, Canada, from 2003 to 2012. Early, late, and very late discharge (<48, 48-71, and 72-95 hours after birth, respectively) were compared using generalized linear models. The primary outcome was the total hospital care cost (hospitalizations and emergency department visits) per infant within 28 days of birth. RESULTS Among 860 693 singletons (3.7% late preterm), early discharge increased significantly over 10 years for term infants (from 69% to 82%; P < .001), but not late preterm infants (from 32% to 35%; P = .75). The mean total cost within 28 days after birth was not significantly different for late preterm infants between early discharge and late discharge after adjustment. However, for term infants, the adjusted cost was higher with early discharge than late discharge (aMCD $311 [95% CI, $211-$412] per infant; $366 [95% CI, $355-$377] per mother-infant dyad). The neonatal readmission rates were higher after early than late discharge for late preterm and term infants. CONCLUSIONS Early discharge was not associated with cost savings for vaginally born healthy singleton late preterm infants, and instead was associated with a cost increase for term infants. Early discharge was associated with higher neonatal readmission rates. Individualized approach balancing the risk and benefit is appropriate to determine the discharge timings.
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Affiliation(s)
- Tetsuya Isayama
- Department of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, Ontario, Canada; Department of Newborn and Developmental Pediatrics, Sunnybrook Health Science Centre, Toronto, Ontario, Canada; Division of Neonatology, National Center for Child Health and Development, Tokyo, Japan.
| | - Daria O'Reilly
- Department of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, Ontario, Canada; Programs for Assessment of Technology in Health (PATH) Research Institute, St. Joseph's Healthcare Hamilton, Hamilton, Ontario, Canada
| | - Joseph Beyene
- Department of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, Ontario, Canada
| | - Prakesh S Shah
- Maternal-Infant Care Research Centre, Department of Pediatrics, Mount Sinai Hospital, Toronto, Ontario, Canada; Department of Pediatrics, University of Toronto, Toronto, Ontario, Canada
| | - Shoo K Lee
- Maternal-Infant Care Research Centre, Department of Pediatrics, Mount Sinai Hospital, Toronto, Ontario, Canada; Department of Pediatrics, University of Toronto, Toronto, Ontario, Canada; Institute for Clinical Evaluative Sciences, Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada
| | - Sarah D McDonald
- Department of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, Ontario, Canada; Department of Obstetrics and Gynecology, McMaster University, Hamilton, Ontario, Canada; Department of Radiology, McMaster University, Hamilton, Ontario, Canada
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Cheng KC, Wang CJ, Chang YC, Hung TW, Lai CJ, Kuo CW, Huang HP. Mulberry fruits extracts induce apoptosis and autophagy of liver cancer cell and prevent hepatocarcinogenesis in vivo. J Food Drug Anal 2020; 28:84-93. [DOI: 10.1016/j.jfda.2019.06.002] [Citation(s) in RCA: 22] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2019] [Revised: 05/15/2019] [Accepted: 06/04/2019] [Indexed: 12/13/2022] Open
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Goodman DC, Ganduglia-Cazaban C, Franzini L, Stukel TA, Wasserman JR, Murphy MA, Kim Y, Mowitz ME, Tyson JE, Doherty JR, Little GA. Neonatal Intensive Care Variation in Medicaid-Insured Newborns: A Population-Based Study. J Pediatr 2019; 209:44-51.e2. [PMID: 30955790 DOI: 10.1016/j.jpeds.2019.02.014] [Citation(s) in RCA: 25] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/05/2018] [Revised: 12/19/2018] [Accepted: 02/12/2019] [Indexed: 01/01/2023]
Abstract
OBJECTIVE To assess the contribution of maternal and newborn characteristics to variation in neonatal intensive care use across regions and hospitals. STUDY DESIGN This was a retrospective population-based live birth cohort of newborn infants insured by Texas Medicaid in 2010-2014 with 2 subcohorts: very low birth weight (VLBW) singletons and late preterm singletons. Crude and risk-adjusted neonatal intensive care unit (NICU) admission rates, intensive and intermediate special care days, and imaging procedures were calculated across Neonatal Intensive Care Regions (n = 21) and hospitals (n = 100). Total Medicaid payments were calculated. RESULTS Overall, 11.5% of live born, 91.7% of VLBW, and 37.6% of infants born late preterm were admitted to a NICU, receiving an average of 2 days, 58 days, and 5 days of special care with payments per newborn inpatient episode of $5231, $128 075, and $10 837, respectively. There was little variation across regions and hospitals in VLBW NICU admissions but marked variation for NICU admissions in late preterm newborn infants and for special care days and imaging rates in all cohorts. The variation decreased slightly after health risk adjustment. There was moderate substitution of intermediate for intensive care days across hospitals (Pearson r VLBW -0.63 P < .001; late preterm newborn -0.53 P < .001). CONCLUSIONS Across all risk groups, the variation in NICU use was poorly explained by differences in newborn illness levels and is likely to indicate varying practice styles. Although the "right" rates are uncertain, it is unlikely that all of these use patterns represent effective and efficient care.
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Affiliation(s)
- David C Goodman
- The Dartmouth Institute for Health Policy and Clinical Practice, Geisel School of Medicine at Dartmouth, Lebanon, NH; Department of Pediatrics, Geisel School of Medicine at Dartmouth, Lebanon, NH.
| | - Cecilia Ganduglia-Cazaban
- Department of Management, Policy & Community Health, University of Texas School of Public Health, Houston, TX
| | - Luisa Franzini
- Department of Health Services Administration, University of Maryland School of Public Health, College Park, MD
| | - Therese A Stukel
- Institute for Clinical Evaluative Sciences, Toronto, Ontario, Canada; Institute of Health Policy, Management and Evaluation, University of Toronto, Toronto, Ontario, Canada
| | - Jared R Wasserman
- The Dartmouth Institute for Health Policy and Clinical Practice, Geisel School of Medicine at Dartmouth, Lebanon, NH
| | - Megan A Murphy
- The Dartmouth Institute for Health Policy and Clinical Practice, Geisel School of Medicine at Dartmouth, Lebanon, NH
| | - Youngran Kim
- Department of Management, Policy & Community Health, University of Texas School of Public Health, Houston, TX
| | | | - Jon E Tyson
- Department of Pediatrics, University of Texas Health Science Center at Houston, Houston, TX
| | - Julie R Doherty
- The Dartmouth Institute for Health Policy and Clinical Practice, Geisel School of Medicine at Dartmouth, Lebanon, NH
| | - George A Little
- Department of Obstetrics and Gynecology, Dartmouth-Hitchcock Medical Center, Lebanon, NH
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Zhou H, Roberts PA, Dhaliwal SS, Della PR. Risk factors associated with paediatric unplanned hospital readmissions: a systematic review. BMJ Open 2019; 9:e020554. [PMID: 30696664 PMCID: PMC6352831 DOI: 10.1136/bmjopen-2017-020554] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/10/2017] [Revised: 09/21/2018] [Accepted: 10/23/2018] [Indexed: 01/19/2023] Open
Abstract
OBJECTIVE To synthesise evidence on risk factors associated with paediatric unplanned hospital readmissions (UHRs). DESIGN Systematic review. DATA SOURCE CINAHL, EMBASE (Ovid) and MEDLINE from 2000 to 2017. ELIGIBILITY CRITERIA Studies published in English with full-text access and focused on paediatric All-cause, Surgical procedure and General medical condition related UHRs were included. DATA EXTRACTION AND SYNTHESIS Characteristics of the included studies, examined variables and the statistically significant risk factors were extracted. Two reviewers independently assessed study quality based on six domains of potential bias. Pooling of extracted risk factors was not permitted due to heterogeneity of the included studies. Data were synthesised using content analysis and presented in narrative form. RESULTS Thirty-six significant risk factors were extracted from the 44 included studies and presented under three health condition groupings. For All-cause UHRs, ethnicity, comorbidity and type of health insurance were the most frequently cited factors. For Surgical procedure related UHRs, specific surgical procedures, comorbidity, length of stay (LOS), age, the American Society of Anaesthesiologists class, postoperative complications, duration of procedure, type of health insurance and illness severity were cited more frequently. The four most cited risk factors associated with General medical condition related UHRs were comorbidity, age, health service usage prior to the index admission and LOS. CONCLUSIONS This systematic review acknowledges the complexity of readmission risk prediction in paediatric populations. This review identified four risk factors across all three health condition groupings, namely comorbidity; public health insurance; longer LOS and patients<12 months or between 13-18 years. The identification of risk factors, however, depended on the variables examined by each of the included studies. Consideration should be taken into account when generalising reported risk factors to other institutions. This review highlights the need to develop a standardised set of measures to capture key hospital discharge variables that predict unplanned readmission among paediatric patients.
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Affiliation(s)
- Huaqiong Zhou
- General Surgical Ward, Princess Margret Hospital for Children, Perth, Western Australia, Australia
- School of Nursing, Midwifery and Paramedicine, Curtin University, Perth, Western Australia, Australia
| | - Pam A Roberts
- School of Nursing, Midwifery and Paramedicine, Curtin University, Perth, Western Australia, Australia
| | | | - Phillip R Della
- School of Nursing, Midwifery and Paramedicine, Curtin University, Perth, Western Australia, Australia
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Chung EK, Gable EK, Golden WC, Hudson JA, Hackman NM, Andrews JP, Jackson DS, Beavers JB, Mirchandani DR, Kellams A, Krevitsky ME, Monroe K, Madlon-Kay DJ, Stratbucker W, Campbell D, Collins J, Rauch D. Current Scope of Practice for Newborn Care in Non-Intensive Hospital Settings. Hosp Pediatr 2017; 7:471-482. [PMID: 28694290 DOI: 10.1542/hpeds.2016-0206] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/03/2023]
Affiliation(s)
- Esther K Chung
- Department of Pediatrics, Sidney Kimmel Medical College of Thomas Jefferson University, Philadelphia, Pennsylvania and Nemours/Alfred I. duPont Hospital for Children, Wilmington, Delaware;
| | - E Kaye Gable
- Department of Pediatrics, University of North Carolina School of Medicine, Chapel Hill, North Carolina and Cone Health, Greensboro, North Carolina
| | - W Christopher Golden
- Department of Pediatrics, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - Jennifer A Hudson
- Department of Pediatrics, Greenville Health System, Greenville, South Carolina
| | - Nicole M Hackman
- Department of Pediatrics, Pennsylvania State University College of Medicine, Hershey, Pennsylvania
| | - Jennifer P Andrews
- Department of Pediatrics, University of Arkansas for Medical Sciences, Little Rock, Arkansas
| | - DeeAnne S Jackson
- Department of Pediatrics, University of Alabama at Birmingham, Birmingham, Alabama
| | - Jessica B Beavers
- Department of Pediatrics, University of Arkansas for Medical Sciences, Little Rock, Arkansas
| | - Dipti R Mirchandani
- Department of Pediatrics, Hofstra Northwell School of Medicine at Hofstra University, Hempstead, New York and Cohen Children's Medical Center of New York, New Hyde Park, New York
| | - Ann Kellams
- Department of Pediatrics, University of Virginia School of Medicine, Charlottesville, Virginia
| | - Meredith E Krevitsky
- Department of Pediatrics, Hofstra Northwell School of Medicine at Hofstra University, Hempstead, New York and Cohen Children's Medical Center of New York, New Hyde Park, New York
| | - Kimberly Monroe
- Department of Pediatrics and Communicable Diseases, C.S. Mott Children's Hospital and University of Michigan, Ann Arbor, Michigan
| | - Diane J Madlon-Kay
- Department of Family Medicine and Community Health, University of Minnesota Medical School, Minneapolis, Minnesota
| | - William Stratbucker
- Department of Pediatrics, Michigan State University and Helen DeVos Children's Hospital, Grand Rapids, Michigan
| | - Deborah Campbell
- Department of Pediatrics, Albert Einstein College of Medicine, New York, New York and Children's Hospital at Montefiore, Bronx, New York
| | - Jolene Collins
- Department of Pediatrics, University of Southern California Keck School of Medicine and Children's Hospital Los Angeles, Los Angeles, California; and
| | - Daniel Rauch
- Department of Pediatrics, Icahn School of Medicine at Mount Sinai, Elmhurst, New York
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13
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Harron K, Gilbert R, Cromwell D, Oddie S, van der Meulen J. Newborn Length of Stay and Risk of Readmission. Paediatr Perinat Epidemiol 2017; 31:221-232. [PMID: 28418622 PMCID: PMC5518288 DOI: 10.1111/ppe.12359] [Citation(s) in RCA: 40] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
BACKGROUND Evidence on the association between newborn length of hospital stay (LOS) and risk of readmission is conflicting. We compared methods for modelling this relationship, by gestational age, using population-level hospital data on births in England between 2005-14. METHODS The association between LOS and unplanned readmission within 30 days of postnatal discharge was explored using four approaches: (i) modelling hospital-level LOS and readmission rates; (ii) comparing trends over time in LOS and readmission; (iii) modelling individual LOS and adjusted risk of readmission; and (iv) instrumental variable analyses (hospital-level mean LOS and number of births on the same day). RESULTS Of 4 667 827 babies, 5.2% were readmitted within 30 days. Aggregated data showed hospitals with longer mean LOS were not associated with lower readmission rates for vaginal (adjusted risk ratio (aRR) 0.87, 95% confidence interval (CI) 0.66, 1.13), or caesarean (aRR 0.89, 95% CI 0.72, 1.12) births. LOS fell by an average 2.0% per year for vaginal births and 3.4% for caesarean births, while readmission rates increased by 4.4 and 5.1% per year respectively. Approaches (iii) and (iv) indicated that longer LOS was associated with a reduced risk of readmission, but only for late preterm, vaginal births (34-36 completed weeks' gestation). CONCLUSIONS Longer newborn LOS may benefit late preterm babies, possibly due to increased medical or psychosocial support for those at greater risk of potentially preventable readmissions after birth. Research based on observational data to evaluate relationships between LOS and readmission should use methods to reduce the impact of unmeasured confounding.
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Affiliation(s)
- Katie Harron
- Department of Health Services Research and PolicyLondon School of Hygiene and Tropical MedicineLondonUK
| | - Ruth Gilbert
- UCL Great Ormond Street Institute of Child HealthLondonUK
| | - David Cromwell
- Department of Health Services Research and PolicyLondon School of Hygiene and Tropical MedicineLondonUK
| | - Sam Oddie
- Bradford NeonatologyBradford Royal InfirmaryBradfordUK
| | - Jan van der Meulen
- Department of Health Services Research and PolicyLondon School of Hygiene and Tropical MedicineLondonUK
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14
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Effect of prophylactic CPAP in very low birth weight infants in South America. J Perinatol 2016; 36:629-34. [PMID: 27054844 DOI: 10.1038/jp.2016.56] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/07/2015] [Revised: 01/29/2016] [Accepted: 02/08/2016] [Indexed: 11/09/2022]
Abstract
OBJECTIVE The objective of this study was to examine the effect of prophylactic continuous positive airway pressure (CPAP) on infants born in 25 South American neonatal intensive care units affiliated with the Neocosur Neonatal Network using novel multivariate matching methods. STUDY DESIGN A prospective cohort was constructed of infants with a birth weight 500 to 1500 g born between 2005 and 2011 who clinically were eligible for prophylactic CPAP. Patients who received prophylactic CPAP were matched to those who did not on 23 clinical and sociodemographic variables (N=1268). Outcomes were analyzed using the McNemar's test. RESULTS Infants not receiving prophylactic CPAP had higher mortality rates (odds ratio (OR)=1.69, 95% confidence interval (CI) 1.17, 2.46), need for any mechanical ventilation (OR=1.68, 95% CI 1.33, 2.14) and death or bronchopulmonary dysplasia (BPD) (OR=1.47, 95% CI 1.09, 1.98). The benefit of prophylactic CPAP varied by birth weight and gender. CONCLUSIONS The implementation of this process was associated with a significant improvement in survival and survival free of BPD.
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15
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Kair LR, Colaizy TT. Breastfeeding Continuation Among Late Preterm Infants: Barriers, Facilitators, and Any Association With NICU Admission? Hosp Pediatr 2016; 6:261-8. [PMID: 27048247 DOI: 10.1542/hpeds.2015-0172] [Citation(s) in RCA: 24] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
Abstract
BACKGROUND AND OBJECTIVES Late preterm birth (at 34-36 6/7 weeks' gestation) is a risk factor for early breastfeeding cessation. The objective of this study was to determine barriers to and facilitators of breastfeeding continuation among late preterm infants (LPI) and to compare the barriers faced by LPI admitted to the well nursery versus the NICU. METHODS The SAS Complex Survey was used to perform multivariable logistic regression analysis by using data from the Centers for Disease Control and Prevention's Pregnancy Risk Assessment Monitoring System. Data from 3 states (Illinois, Maine, and Vermont) for the years 2004 to 2008 were used. RESULTS A total of 2530 mothers of LPI were surveyed. Odds of breastfeeding initiation were similar among LPI admitted to the NICU versus the well nursery (adjusted odds ratio, 1.24 [95% confidence interval, 0.88-1.73]; P = .209). Odds of breastfeeding for ≥ 10 weeks were no different between LPI admitted to the NICU versus those admitted to the well-nursery (adjusted odds ratio, 1.02 [95% confidence interval, 0.73-1.43]; P = .904). Factors associated with increased odds of breastfeeding for ≥ 10 weeks among LPI were higher maternal education, mother being married, and normal maternal BMI. Regardless of NICU admission, the top reasons cited by mothers of LPI for early breastfeeding discontinuation were perceived inadequate milk supply and nursing difficulties. CONCLUSIONS Among LPIs, NICU admission was not associated with early breastfeeding cessation. Mothers of LPIs with lower odds of sustaining breastfeeding for at least 10 weeks were single mothers, those with a high school education only, and those who were obese. Breastfeeding support should be enhanced for LPIs and should address perceived maternal milk supply concerns and nursing difficulties.
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Affiliation(s)
- Laura R Kair
- Department of Pediatrics, University of Iowa Stead Family, Carver College of Medicine, Iowa City, Iowa, 52242, USA.
| | - Tarah T Colaizy
- Department of Pediatrics, University of Iowa Stead Family, Carver College of Medicine, Iowa City, Iowa, 52242, USA
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16
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Shin JS, Kim YB, Lee YH, Shim GH, Chey MJ. Comparisons of Clinical Characteristics Affecting Readmission between Late Preterm Infants and Moderate Preterm Infants or Full-Term Infants. NEONATAL MEDICINE 2016. [DOI: 10.5385/nm.2016.23.4.211] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022] Open
Affiliation(s)
- Jae Seok Shin
- Department of Pediatrics, Inje University Sanggye Paik Hospital, Seoul, Korea
| | - Yu Bin Kim
- Department of Pediatrics, Inje University Sanggye Paik Hospital, Seoul, Korea
| | - Yong Hee Lee
- Department of Pediatrics, Inje University Sanggye Paik Hospital, Seoul, Korea
| | - Gyu Hong Shim
- Department of Pediatrics, Inje University Sanggye Paik Hospital, Seoul, Korea
| | - Myoung Jae Chey
- Department of Pediatrics, Inje University Sanggye Paik Hospital, Seoul, Korea
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17
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Patrick SW, Burke JF, Biel TJ, Auger KA, Goyal NK, Cooper WO. Risk of Hospital Readmission Among Infants With Neonatal Abstinence Syndrome. Hosp Pediatr 2015; 5:513-9. [PMID: 26427919 PMCID: PMC5110214 DOI: 10.1542/hpeds.2015-0024] [Citation(s) in RCA: 62] [Impact Index Per Article: 6.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
Abstract
OBJECTIVE Neonatal abstinence syndrome (NAS) is a postnatal drug withdrawal syndrome that may last for months. Our objective was to determine if infants with NAS are at increased risk for hospital readmission compared with uncomplicated term and late preterm newborns. METHODS In this longitudinal retrospective cohort study, administrative data were used for all births from 2006 to 2009 in the New York State Inpatient Database. We identified infants with NAS, born late preterm or uncomplicated term, as independent groups using diagnostic codes and determined readmission rates. We fit a multivariable logistic regression model with 30-day readmission after discharge as the outcome and infant characteristics, clinical morbidities, insurance type, and length of birth hospitalization as predictors. RESULTS From 2006 to 2009 in New York State, 700 613 infants were classified as uncomplicated term, 51 748 were born late preterm, and 1643 infants were diagnosed with NAS. After adjusting for confounders, infants with NAS (odds ratio [OR] 2.49, 95% confidence interval [CI] 1.75-3.55) were more likely than uncomplicated term infants to be readmitted within 30 days of birth hospitalizations. The risk of readmission was similar to late preterm infants (OR 2.26, 95% CI 2.09-2.45). Length of birth hospitalization in days was inversely related to odds of being readmitted within 30 days of birth hospitalization (OR 0.94 95% CI 0.92-0.96). CONCLUSIONS When compared with uncomplicated term infants, infants diagnosed with NAS were more than twice as likely to be readmitted to the hospital. Future research and state-level policies should investigate means to mitigate risk of hospital readmission for infants with NAS.
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Affiliation(s)
- Stephen W Patrick
- Departments of Pediatrics, and Mildred Stahlman Division of Neonatology, Vanderbilt University, Nashville, Tennessee; Vanderbilt Center for Health Services Research, Nashville, Tennessee; Health Policy, and
| | | | - Terry J Biel
- School of Medicine, University of Michigan, Ann Arbor, Michigan; and
| | - Katherine A Auger
- Department of Pediatrics, University of Cincinnati, Cincinnati, Ohio
| | - Neera K Goyal
- Department of Pediatrics, University of Cincinnati, Cincinnati, Ohio
| | - William O Cooper
- Departments of Pediatrics, and Vanderbilt Center for Health Services Research, Nashville, Tennessee; Health Policy, and
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18
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Lorch SA, Passarella M, Zeigler A. Challenges to measuring variation in readmission rates of neonatal intensive care patients. Acad Pediatr 2014; 14:S47-53. [PMID: 25169458 DOI: 10.1016/j.acap.2014.06.010] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/03/2014] [Revised: 06/13/2014] [Accepted: 06/18/2014] [Indexed: 11/24/2022]
Abstract
OBJECTIVE To examine the viability of a hospital readmission quality metric for infants requiring neonatal intensive care. METHODS Two cohorts were constructed. First, a cohort was constructed from infants born in California from 1995 to 2009 at 23 to 34 weeks' gestation, using birth certificates linked to maternal and infant inpatient records (N = 343,625). Second, the Medicaid Analytic eXtract (MAX) identified Medicaid-enrolled infants admitted to the neonatal intensive care unit (NICU) during their birth hospitalization in 18 states during 2006 to 2008 (N = 254,722). Hospital and state-level unadjusted readmission rates and rates adjusted for gestational age, birth weight, insurance status, gender, and common complications of preterm birth were calculated. RESULTS Within California, there were wide variations in hospital-level readmission rates that were not completely explained through risk adjustment. Similar unadjusted variation was seen between states using MAX data, but risk adjustment and calculation of hospital-level rates were not possible because of missing gestational age, birth weight, and birth hospital data. CONCLUSIONS The California cohort shows significant variation in hospital-level readmission rates after risk adjustment, supporting the premise that readmission rates of prematurely born infants may reflect care quality. However, state data do not include term and early term infants requiring neonatal intensive care. MAX allows for multistate comparisons of all infants requiring NICU care. However, there were extensive missing data in the few states with sufficient information on managed care patients to calculate state-level measures. Constructing a valid readmission measure for NICU care across diverse states and regions requires improved data collection, including potential linkage between MAX data and vital statistics records.
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Affiliation(s)
- Scott A Lorch
- Department of Pediatrics, The Children's Hospital of Philadelphia and Perelman School of Medicine at The University of Pennsylvania, Philadelphia, Pa; Center for Outcomes Research, The Children's Hospital of Philadelphia, Philadelphia, Pa; Leonard Davis Institute of Health Economics, University of Pennsylvania, Philadelphia, Pa.
| | - Molly Passarella
- Center for Outcomes Research, The Children's Hospital of Philadelphia, Philadelphia, Pa
| | - Ashley Zeigler
- Center for Outcomes Research, The Children's Hospital of Philadelphia, Philadelphia, Pa
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19
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Moyer LB, Goyal NK, Meinzen-Derr J, Ward LP, Rust CL, Wexelblatt SL, Greenberg JM. Factors associated with readmission in late-preterm infants: a matched case-control study. Hosp Pediatr 2014; 4:298-304. [PMID: 25318112 DOI: 10.1542/hpeds.2013-0120] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/04/2023]
Abstract
OBJECTIVE The goal of this study was to evaluate risk factors for readmission among late-preterm (34-36 weeks' gestation) infants in clinical practice. METHODS This was a retrospective, matched case-control study of late-preterm infants receiving care across 8 regional hospitals in 2009 in the United States. Those readmitted within 28 days of birth were matched to non-readmitted infants at a ratio of 1:3 according to birth hospital, birth month, and gestational age. Step-wise modeling with likelihood ratio tests were used to develop a multivariable logistic regression model. A subgroup analysis of hyperbilirubinemia readmissions was also performed. RESULTS Of 1861 late-preterm infants delivered during the study period, 67 (3.6%) were readmitted within 28 days of birth. These were matched to 201 control infants, for a final sample of 268 infants. In multivariable regression, each additional day in length of stay was associated with a significantly reduced odds ratio (OR) for readmission (0.57, P = .004); however, for those infants delivered vaginally, there was no significant association between length of stay and readmission (adjusted OR: 1.08, P = .16). A stronger inverse relationship was observed in subgroup analysis for hyperbilirubinemia readmissions, with the adjusted OR associated with increased length of stay 0.40 (P = .002) for infants born by cesarean delivery but 1.14 (P = .27) for those delivered vaginally. CONCLUSIONS Infants born via cesarean delivery with longer length of hospital stay have a decreased risk for readmission. As hospitals implement protocols to standardize length of stay, mode of delivery may be a useful factor to identify late-preterm infants at higher risk for readmission.
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Affiliation(s)
| | - Neera K Goyal
- Divisions of Neonatology and Perinatal Institute Hospital Medicine, Cincinnati Children's Research Foundation and Department of Pediatrics
| | - Jareen Meinzen-Derr
- Division of Biostatistics and Epidemiology, Cincinnati Children's Hospital Medical Center, University of Cincinnati College of Medicine, Cincinnati, Ohio; and
| | - Laura P Ward
- Divisions of Neonatology and Perinatal Institute
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20
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Baiocchi M, Cheng J, Small DS. Instrumental variable methods for causal inference. Stat Med 2014; 33:2297-340. [PMID: 24599889 PMCID: PMC4201653 DOI: 10.1002/sim.6128] [Citation(s) in RCA: 363] [Impact Index Per Article: 36.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/20/2013] [Revised: 01/24/2014] [Accepted: 02/10/2014] [Indexed: 01/03/2023]
Abstract
A goal of many health studies is to determine the causal effect of a treatment or intervention on health outcomes. Often, it is not ethically or practically possible to conduct a perfectly randomized experiment, and instead, an observational study must be used. A major challenge to the validity of observational studies is the possibility of unmeasured confounding (i.e., unmeasured ways in which the treatment and control groups differ before treatment administration, which also affect the outcome). Instrumental variables analysis is a method for controlling for unmeasured confounding. This type of analysis requires the measurement of a valid instrumental variable, which is a variable that (i) is independent of the unmeasured confounding; (ii) affects the treatment; and (iii) affects the outcome only indirectly through its effect on the treatment. This tutorial discusses the types of causal effects that can be estimated by instrumental variables analysis; the assumptions needed for instrumental variables analysis to provide valid estimates of causal effects and sensitivity analysis for those assumptions; methods of estimation of causal effects using instrumental variables; and sources of instrumental variables in health studies.
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Affiliation(s)
- Michael Baiocchi
- Department of Statistics, Stanford University, Stanford, CA, U.S.A
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