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Dive into the research topics where Eric S. Hall is active.

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Featured researches published by Eric S. Hall.


Pediatrics | 2014

A multicenter cohort study of treatments and hospital outcomes in neonatal abstinence syndrome.

Eric S. Hall; Scott L. Wexelblatt; Moira Crowley; Jennifer L. Grow; Lisa R. Jasin; Mark A. Klebanoff; Richard E. McClead; Jareen Meinzen-Derr; Vedagiri K. Mohan; Howard Stein; Michele C. Walsh

OBJECTIVES: To compare pharmacologic treatment strategies for neonatal abstinence syndrome (NAS) with respect to total duration of opioid treatment and length of inpatient hospital stay. METHODS: We conducted a cohort analysis of late preterm and term neonates who received inpatient pharmacologic treatment of NAS at one of 20 hospitals throughout 6 Ohio regions from January 2012 through July 2013. Physicians managed NAS using 1 of 6 regionally based strategies. RESULTS: Among 547 pharmacologically treated infants, we documented 417 infants managed using an established NAS weaning protocol and 130 patients managed without protocol-driven weaning. Regardless of the treatment opioid chosen, when we accounted for hospital variation, infants receiving protocol-based weans experienced a significantly shorter duration of opioid treatment (17.7 vs 32.1 days, P < .0001) and shorter hospital stay (22.7 vs 32.1 days, P = .004). Among infants receiving protocol-based weaning, there was no difference in the duration of opioid treatment or length of stay when we compared those treated with morphine with those treated with methadone. Additionally, infants treated with phenobarbital were treated with the drug for a longer duration among those following a morphine-based compared with methadone-based weaning protocol. (P ≤ .002). CONCLUSIONS: Use of a stringent protocol to treat NAS, regardless of the initial opioid chosen, reduces the duration of opioid exposure and length of hospital stay. Because the major driver of cost is length of hospitalization, the implications for a reduction in cost of care for NAS management could be substantial.


IEEE Engineering in Medicine and Biology Magazine | 2003

Enabling remote access to personal electronic medical records

Eric S. Hall; David K. Vawdrey; Charles D. Knutson; James K. Archibald

The Poket Doktor is a wireless personal healthcare system that can obtain accurate patient medical information in situations where it may not otherwise be available. The system is designed to provide a flexible, scalable method of storing and communicating critical electronic medical record information using personal handheld electronic devices. The first phase of development has succeeded in: designing the architecture for a wireless, power-efficient smart card to store and communicate medical information incorporating Bluetooth wireless technology with radiofrequency identification wakeup on the smart card to enable a fast wireless connection to a healthcare providers device; and selecting a platform and creating application software for a handheld computing device used by healthcare providers. The Poket Doktor system assists medical personnel in obtaining accurate patient medical information in situations where it may not otherwise be available. In this manner, Poket Doktor technology will improve the quality of care delivered in emergency situations.


Pediatrics | 2015

Implementation of a Neonatal Abstinence Syndrome Weaning Protocol: A Multicenter Cohort Study.

Eric S. Hall; Scott L. Wexelblatt; Moira Crowley; Jennifer L. Grow; Lisa R. Jasin; Mark A. Klebanoff; Richard E. McClead; Jareen Meinzen-Derr; Vedagiri K. Mohan; Howard Stein; Michele C. Walsh

OBJECTIVES: To evaluate the generalizability of stringent protocol-driven weaning in improving total duration of opioid treatment and length of inpatient hospital stay after treatment of neonatal abstinence syndrome (NAS). METHODS: We conducted a retrospective cohort analysis of 981 infants who completed pharmacologic treatment of NAS with methadone or morphine from January 2012 through August 2014. Before July 2013, 3 of 6 neonatology provider groups (representing Ohio’s 6 children’s hospitals) directed NAS nursery care by using group-specific treatment protocols containing explicit weaning guidelines. In July 2013, a standardized weaning protocol was adopted by all 6 groups. Statistical analysis was performed to identify effects of adoption of the multicenter weaning protocol on total duration of opioid treatment and length of hospital stay at the protocol-adopting sites and at the sites with preexisting protocol-driven weaning. RESULTS: After adoption of the multicenter protocol, infants treated by the 3 groups previously without stringent weaning guidelines experienced shorter duration of opioid treatment (23.0 vs 34.0 days, P < .001) and length of inpatient hospital stay (23.7 vs 31.6 days, P < .001). Protocol-adopting sites also experienced a lower rate of adjunctive drug therapy (5% vs 21%, P = .004). Outcomes were sustained by the 3 groups who initially had specific weaning guidelines after multicenter adoption (duration of treatment = 17.0 days and length of hospital stay = 23.3 days). CONCLUSIONS: Adoption of a stringent weaning protocol resulted in improved NAS outcomes, demonstrating generalizability of the protocol-driven weaning approach. Opportunity remains for additional protocol refinement.


PLOS ONE | 2015

Air pollution and stillbirth risk: exposure to airborne particulate matter during pregnancy is associated with fetal death.

Emily DeFranco; Eric S. Hall; Monir Hossain; Aimin Chen; Erin N. Haynes; David E. Jones; Sheng Ren; Long Lu; Louis J. Muglia

Objective To test the hypothesis that exposure to fine particulate air pollution (PM2.5) is associated with stillbirth. Study Design Geo-spatial population-based cohort study using Ohio birth records (2006-2010) and local measures of PM2.5, recorded by the EPA (2005-2010) via 57 monitoring stations across Ohio. Geographic coordinates of the mother’s residence for each birth were linked to the nearest PM2.5 monitoring station and monthly exposure averages calculated. The association between stillbirth and increased PM2.5 levels was estimated, with adjustment for maternal age, race, education level, quantity of prenatal care, smoking, and season of conception. Results There were 349,188 live births and 1,848 stillbirths of non-anomalous singletons (20-42 weeks) with residence ≤10 km of a monitor station in Ohio during the study period. The mean PM2.5 level in Ohio was 13.3 μg/m3 [±1.8 SD, IQR(Q1: 12.1, Q3: 14.4, IQR: 2.3)], higher than the current EPA standard of 12 μg/m3. High average PM2.5 exposure through pregnancy was not associated with a significant increase in stillbirth risk, adjOR 1.21(95% CI 0.96,1.53), nor was it increased with high exposure in the 1st or 2nd trimester. However, exposure to high levels of PM2.5 in the third trimester of pregnancy was associated with 42% increased stillbirth risk, adjOR 1.42(1.06,1.91). Conclusions Exposure to high levels of fine particulate air pollution in the third trimester of pregnancy is associated with increased stillbirth risk. Although the risk increase associated with high PM2.5 levels is modest, the potential impact on overall stillbirth rates could be robust as all pregnant women are potentially at risk.


Journal of the American Medical Informatics Association | 2014

Phenotyping for patient safety: algorithm development for electronic health record based automated adverse event and medical error detection in neonatal intensive care

Qi Li; Kristin Melton; Todd Lingren; Eric S. Kirkendall; Eric S. Hall; Haijun Zhai; Yizhao Ni; Megan Kaiser; Laura Stoutenborough; Imre Solti

Background Although electronic health records (EHRs) have the potential to provide a foundation for quality and safety algorithms, few studies have measured their impact on automated adverse event (AE) and medical error (ME) detection within the neonatal intensive care unit (NICU) environment. Objective This paper presents two phenotyping AE and ME detection algorithms (ie, IV infiltrations, narcotic medication oversedation and dosing errors) and describes manual annotation of airway management and medication/fluid AEs from NICU EHRs. Methods From 753 NICU patient EHRs from 2011, we developed two automatic AE/ME detection algorithms, and manually annotated 11 classes of AEs in 3263 clinical notes. Performance of the automatic AE/ME detection algorithms was compared to trigger tool and voluntary incident reporting results. AEs in clinical notes were double annotated and consensus achieved under neonatologist supervision. Sensitivity, positive predictive value (PPV), and specificity are reported. Results Twelve severe IV infiltrates were detected. The algorithm identified one more infiltrate than the trigger tool and eight more than incident reporting. One narcotic oversedation was detected demonstrating 100% agreement with the trigger tool. Additionally, 17 narcotic medication MEs were detected, an increase of 16 cases over voluntary incident reporting. Conclusions Automated AE/ME detection algorithms provide higher sensitivity and PPV than currently used trigger tools or voluntary incident-reporting systems, including identification of potential dosing and frequency errors that current methods are unequipped to detect.


Maternal and Child Health Journal | 2012

Spatial Analysis of Preterm Birth Demonstrates Opportunities for Targeted Intervention

Andrew P. South; David E. Jones; Eric S. Hall; Shuyon Huo; Jareen Meinzen-Derr; Lin Liu; James M. Greenberg

To develop a specific, targeted intervention strategy for reducing preterm birth through use of geographic analysis. We utilized Hamilton County, Ohio vital records and Census data from 2003 to 2006. Spatial scanning statistics allowed determination of the prevalence of preterm birth for any geographical point. Attributable risk calculations demonstrated heterogeneity of risk factors within areas of high or low preterm birth prevalence. Three geographically separate areas with high preterm birth proportions (>16%) had differing primary risk factors for preterm birth, including short interpregnancy interval, previous preterm birth, and low prepregnancy weight, despite similarities in demographics and physical location. Primary risk factors also differed when comparing areas with high and low preterm birth proportions, with diabetes and smoking having primary associations in the lower risk areas. Each local region of high preterm birth proportion as well as those with average or low proportion displayed distinct hierarchies of attributable risk. The heterogeneous distribution of preterm birth proportion within an urban county is complex and requires location specific analysis to develop targeted interventions.


Health | 2003

A self-adapting healthcare information infrastructure using mobile computing devices

David K. Vawdrey; Eric S. Hall; Charles D. Knutson; J.K. Archibald

Despite recent improvements in the gathering and sharing of patient medical information among healthcare providers, there remains a gap in the electronic medical record infrastructure. Patient data is not available in some situations, either because the infrastructure is inaccessible (as in a natural disaster) or because there is no way to link the patient to the infrastructure (e.g., the patient cannot supply necessary identification information). We describe the Poket Doktor System, an architecture that allows an individual to carry personal electronic medical information on a wireless handheld device such as a smart card, cell phone, or PDA. Medical workers can obtain this information wirelessly using handheld devices, desktop computers, network access points, etc. In this way, patients play an active role in the medical information infrastructure, resulting in a better healthcare delivery system.


American Journal of Obstetrics and Gynecology | 2016

Racial disparity in previable birth

Emily DeFranco; Eric S. Hall; Louis J. Muglia

BACKGROUND Extremely preterm birth of a live newborn before the limit of viability is rare but contributes uniformly to the infant mortality rate because essentially all cases result in neonatal death. OBJECTIVE The objective of the study was to quantify racial differences in previable birth and their contribution to infant mortality and to estimate the relative influence of factors associated with live birth occurring before the threshold of viability. STUDY DESIGN This was a population-based retrospective cohort of all live births in Ohio over a 7 year period, 2006-2012. Demographic, pregnancy, and delivery characteristics of previable live births at 16 0/7 to 22 6/7 weeks of gestation were compared with a referent group of live births at 37 0/7 to 42 6/7 weeks. Rates of birth at each week of gestation were compared between black and white mothers, and relative risk ratios were calculated. Logistic regression estimated the relative risk of factors associated with previable birth, with adjustment for concomitant risk factors. RESULTS Of 1,034,552 live births in Ohio during the study period, 2607 (0.25% of all live births) occurred during the previable period of 16-22 weeks. There is a significant racial disparity in the rate and relative risk of previable birth, with a 3- to 6-fold relative risk increase in black mothers at each week of previable gestational age. The incidence of previable birth for white mothers was 1.8 per 1000 and for black mothers, 6.9 per 1000. Factors most strongly associated with previable birth, presented as adjusted relative risk ratio (95% confidence interval [CI]), were maternal characteristics of black race adjusted relative risk 2.9 (95% CI, 2.6-3.2), age ≥ 35 years 1.3 (95% CI, 1.1-1.6), and unmarried 2.1 (95% CI, 1.8-2.3); fetal characteristics including congenital anomaly, 5.4 (95% CI, 3.4-8.1) and genetic disorder, 5.1 (95% CI, 2.5-10.1); and pregnancy characteristics including prior preterm birth 4.4 (95% CI, 3.7-5.2) and multifetal gestation, twin, 16.9 (95% CI, 14.4-19.8) or triplet, 65.4 (95% CI, 32.9-130.2). The majority, 80%, of previable births (16-22 weeks) were spontaneous in nature, compared with 73% in early preterm births (23-33 weeks), 72% in late preterm births (34-36 weeks), and 65% of term births (37-42 weeks) (P < .001). Previable births constituted approximately 28% of total infant mortalities in white newborns and 45% of infant mortalities in black infants in Ohio during the study period. CONCLUSION There is a significant racial disparity in previable preterm births, with black mothers incurring a 3- to 6-fold increased relative risk compared with white mothers, most of which are spontaneous in nature. This may explain much of the racial disparity in infant mortality because all live-born previable preterm births result in death. Focused efforts on the prevention of spontaneous previable preterm birth may help to reduce the racial disparity in infant mortality.


American Journal of Public Health | 2014

Association of Maternal and Community Factors With Enrollment in Home Visiting Among At-Risk, First-Time Mothers

Neera K. Goyal; Eric S. Hall; David E. Jones; Jareen Meinzen-Derr; Jodie A. Short; Robert T. Ammerman; Judith B. Van Ginkel

OBJECTIVES We identified individual and contextual factors associated with referral and enrollment in home visiting among at-risk, first-time mothers. METHODS We retrospectively studied referral and enrollment in a regional home visiting program from 2007 to 2009 in Hamilton County, Ohio. Using linked vital statistics and census tract data, we obtained individual and community measures on first-time mothers meeting eligibility criteria for home visiting (low income, unmarried, or age < 18 years). Generalized linear modeling was performed to determine factors associated with relative risk (RR) of (1) referral to home visiting among eligible mothers and (2) enrollment after referral. RESULTS Of 8187 first-time mothers eligible for home visiting, 2775 were referred and 1543 were enrolled. Among referred women, high school completion (RR = 1.10) and any college (RR = 1.17) compared with no high school completion were associated with increased enrollment, and enrollment was less likely for those living in communities with higher socioeconomic deprivation (RR = 0.71; P < .05). CONCLUSIONS Barriers to enrollment in home visiting persisted at multiple ecological levels. Ongoing evaluation of enrollment in at-risk populations is critical as home visiting programs are implemented and expanded.


The Journal of Pediatrics | 2015

Cohort Analysis of a Pharmacokinetic-Modeled Methadone Weaning Optimization for Neonatal Abstinence Syndrome

Eric S. Hall; Jareen Meinzen-Derr; Scott L. Wexelblatt

OBJECTIVE To evaluate neonatal abstinence syndrome (NAS) treatment outcomes achieved using an optimized methadone weaning protocol developed using pharmacokinetic (PK) modeling compared with standard methadone weaning. STUDY DESIGN This pre-post cohort study evaluated 360 infants who completed pharmacologic treatment for NAS with methadone as inpatients at 1 of 6 nurseries in southwest Ohio between January 2012 and March 2015. Infants were initially treated with a standard methadone weaning protocol (n = 267). Beginning in July 2014, infants were treated with a revised methadone weaning protocol developed using PK modeling (n = 93). Linear mixed models were used to calculate adjusted mean primary outcomes, including total duration of methadone treatment, total administered methadone dosage, and length of inpatient hospital stay, which were compared between weaning protocols. The use of adjunctive therapy for NAS treatment was examined as a secondary outcome. RESULTS Infants who received NAS treatment with the revised protocol experienced a shorter duration of methadone treatment (13.1 vs 16.4 days; P < .001) and shorter duration of inpatient treatment (18.3 vs 21.7 days; P < .001) compared with infants receiving standard methadone weaning. No difference was observed in total methadone dosage administered (0.52 vs 0.52 mg/kg; P = .97) or in the use of adjunctive therapy (22.6% vs 25.5%; P = .68) between groups. CONCLUSION Refinement of a standard methadone weaning protocol using PK modeling was associated with reduced duration of opioid weaning and shortened length of stay for pharmacologic treatment of NAS.

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Emily DeFranco

Cincinnati Children's Hospital Medical Center

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Jareen Meinzen-Derr

Cincinnati Children's Hospital Medical Center

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Neera K. Goyal

Society of Hospital Medicine

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James M. Greenberg

Cincinnati Children's Hospital Medical Center

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Scott L. Wexelblatt

Cincinnati Children's Hospital Medical Center

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David E. Jones

Cincinnati Children's Hospital Medical Center

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Judith B. Van Ginkel

Cincinnati Children's Hospital Medical Center

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Robert T. Ammerman

Cincinnati Children's Hospital Medical Center

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Alonzo T. Folger

Cincinnati Children's Hospital Medical Center

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Eric S. Kirkendall

Cincinnati Children's Hospital Medical Center

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