Challenges to measuring variation in readmission rates of neonatal intensive care patients

Birth Weight and Gestational Age as Modifiers of Rehospitalization after Neonatal Intensive Care Unit Admission

OBJECTIVE

This study aimed to assess interaction effects between gestational age and birth weight on 30-day unplanned hospital readmission following discharge from the neonatal intensive care unit (NICU).

STUDY DESIGN

This is a retrospective study that uses the study site's Children's Hospitals Neonatal Database and electronic health records. Population included patients discharged from a NICU between January 2017 and March 2020. Variables encompassing demographics, gestational age, birth weight, medications, maternal data, and surgical procedures were controlled for. A statistical interaction between gestational age and birth weight was tested for statistical significance.

RESULTS

A total of 2,307 neonates were included, with 7.2% readmitted within 30 days of discharge. Statistical interaction between birth weight and gestational age was statistically significant, indicating that the odds of readmission among low birthweight premature patients increase with increasing gestational age, whereas decrease with increasing gestational age among their normal or high birth weight peers.

CONCLUSION

The effect of gestational age on odds of hospital readmission is dependent on birth weight.

KEY POINTS

· Population included patients discharged from a NICU between January 2017 and March 2020.. · A total of 2,307 neonates were included, with 7.2% readmitted within 30 days of discharge.. · The effect of gestational age on odds of hospital readmission is dependent on birth weight..

Early Readmission following NICU Discharges among a National Sample: Associated Factors and Spending

OBJECTIVE

Infants admitted to the neonatal intensive care unit (NICU) are at increased likelihood of hospital readmission when compared with non-NICU admitted infants, resulting in appreciable financial and emotional burdens. Early readmission, days to weeks, following NICU discharge, may be preventable. Population-based data identifying potentially modifiable factors and spending associated with early readmission are lacking.

STUDY DESIGN

We conducted a secondary data analysis of privately insured infants in the IBM MarketScan Research Database born from 2011 to 2017 in all 50 states and admitted to the NICU. We examined demographic and clinical characteristics of early readmission within 7 days and between 8 and 30 days following NICU discharge and the payments of NICU and readmission care. Data were analyzed using univariate and multivariable logistic regression.

RESULTS

Of the 86,741 NICU survivors analyzed, 3,131 infants (3.6%) were readmitted by 7 days and 2,128 infants (2.5%) between 8 and 30 days. Preterm infants had reduced odds of readmission by 7 days compared with term infants. Infants transferred to a step-down facility (vs. discharge home) and those with congenital anomalies had higher independent odds of readmission by 7 and 8 to 30 days. A higher percentage of NICU infants within the lowest quartile of initial NICU length of stay (LOS) were readmitted by 7 days compared with NICU infants in the middle and highest LOS quartiles (64 vs. 36%, p < 0.01). Median payments of readmissions at 7 and 8 to 30 days was $12,785 and 14,380, respectively.

CONCLUSION

Being term, being transferred to a step-down facility, and having a congenital anomaly were risk factors for early readmission. Shorter initial NICU LOS may be a contributing factor to readmission by 7 days, especially among term infants. These findings identify factors associated with readmission with the hope of preventing early readmission, minimizing spending, and optimizing ideal timing of NICU discharge.

KEY POINTS

· Preterm infants were less likely than term infants to be readmitted within 7 days after discharge.. · Transferred infants had higher odds of readmission versus those who were discharged home.. · Payments for an average single NICU day were $1,000 less than for an average day of readmission..

Early childhood antibiotic utilization for infants discharged from the neonatal intensive care unit

OBJECTIVE

To determine antibiotic utilization for NICU infants, as compared to non-NICU infants, in the first 3 years after birth hospital discharge.

STUDY DESIGN

Retrospective observational study using data from Medicaid Analytic Extract including 667 541 newborns discharged from 2007-2011. Associations between NICU admission and antibiotic prescription were assessed using regression models, adjusting for confounders, and stratified by gestational age and birth weight.

RESULTS

596 999 infants (89.4%) received ≥1 antibiotic, with a median of 4 prescriptions per 3 person-years (IQR 2-8). Prescribed antibiotics and associated indication were similar between groups. Compared to non-NICU infants (N = 586 227), NICU infants (N = 81 314) received more antibiotic prescriptions (adjusted incidence rate ratio 1.08, 95% confidence interval [CI] (1.08,1.08)). Similar results were observed in all NICU subgroups.

CONCLUSIONS

Antibiotic utilization in early childhood was higher among infants discharged from NICUs compared to non-NICU infants.

A comparison of approaches to identify live births using the medicaid analytic extract

Medicaid claims are an important, but underutilized source of data for neonatal health services research in the United States. However, identifying live births in Medicaid claims data is challenging due to variation in coding practices by state and year. Methods of identifying live births in Medicaid claims data have not been validated, and it is not known which methods are most appropriate for different research questions. The objective of this study is to describe and validate five approaches to identifying births using Medicaid Analytic eXtract (MAX) from 45 states (2006-2014). We calculated total number of MAX births by state-year using five definitions: (1) any claim within 30 days of birth date listed in personal summary (PS) file, (2) any claim within 7 days of PS birth date, (3) live birth ICD-9 in inpatient or other therapies file, (4) live birth ICD-9 code in inpatient file, (5) live birth ICD-9 in inpatient file with matching PS birth date. We then compared the number of MAX births by state and year to expected counts using outside data sources. Definition 1 identified the most births (14,189,870) and was closest to total expected count (98.3%). Each definition produced over- and underestimates compared to expected counts for given state-years. Findings suggest that the broadest definition of live births (Definition 1) was closest to expected counts, but that the most appropriate definition depends on research question and state-years of interest.

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

OBJECTIVE

To test the hypothesis that newborn infants cared for in hospitals with greater utilization of neonatal intensive care experienced fewer postdischarge adverse events.

STUDY DESIGN

We developed 3 retrospective population-based cohorts of Texas Medicaid insured singletons born in 2010-2014 (very low birth weight [VLBW n = 11 139], late preterm [n = 57 509], and non-preterm [n = 664 447]) who received care in higher volume hospitals with level III/IV neonatal intensive care units (NICUs). Measures of NICU care were hospital-level risk adjusted NICU admission rates, special care days (days of nonroutine care) per infant, and the percent of intensive (highest billable care code) special care days. The units of analysis were hospitals (n = 80) and the primary outcome was an adverse event, (defined as admission, emergency department visit, or death) within 30 days postdischarge.

RESULTS

Higher use of NICU care at a hospital level was not associated with lower postdischarge 30-day adverse event. Infants cared for in hospitals with above vs below median special care day rates experienced slightly higher postdischarge adverse event per 100 infants (VLBW: 14.01 [95% CI 12.74-15.27] vs 11.84 [10.52-13.16], P < .05; late preterm: 7.33 [6.68-7.97] vs 6.28 [5.87-6.69], P < .01; non-preterm: 4.47 [4.17-4.76] vs 3.97 [3.75-4.18], P < .01). Weak positive associations (Pearson correlations of 0.31-0.37, P < .01) were observed for adverse event with special care days; in no instance was a negative association observed between NICU utilization and adverse event.

CONCLUSION

Higher utilization of NICU care was not associated with lower rates of short-term events suggesting that there may be opportunities to safely decrease admission rates and length of NICU stays.

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

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

Readmissions among NICU graduates: Who, when and why?

Readmission amongst previous neonatal intensive care unit (NICU) graduates, especially for preterm infants, is common and remains a significant risk for these infants beyond the neonatal period. This review explores risk factors for readmissions, common reasons for requiring rehospitalization and explores opportunities for improving the transition from discharge to home with the ultimate goal of reducing readmissions for these high risk infants.

Parent Preferences Regarding Home Oxygen Use for Infants with Bronchopulmonary Dysplasia

OBJECTIVES

To determine parent preferences for discharge with home oxygen in infants with bronchopulmonary dysplasia.

STUDY DESIGN

This was a prospective study of parents of infants born at <32 weeks' gestation with established bronchopulmonary dysplasia and approaching neonatal intensive care unit (NICU) discharge. Parents were presented a hypothetical scenario of an infant who failed weaning to room air and 2 options: discharge with home oxygen or try longer to wean oxygen. The initial scenario risks reflected a 1.5-week difference in NICU length of stay and no differences in other outcomes. Length of stay and readmission outcomes were increased or decreased until the parent switched preference. Three months after discharge, parents were asked to reconsider their preference. Differences were analyzed by χ² or Kruskal-Wallis tests.

RESULTS

Of 125 parents, 50% preferred home oxygen. For parents preferring home oxygen, the most important reason was comfort at home (79%). Forty percent switched preference when the length of stay difference decreased by 1 week; 35% switched when readmission increased by 5%. For parents preferring to stay in NICU, the most important reason was fear of taking care of the child at home (73%). Thirty-two percent switched preference when the length of stay difference increased by 1 week; 31% switched when readmission decreased by 5%. One hundred ten parents completed the 3-month follow-up; 80 were discharged with home oxygen. Seventy-eight percent would prefer home oxygen (97% who initially preferred home oxygen and 60% who initially preferred to stay in the NICU).

CONCLUSIONS

Parents weigh differences in NICU length of stay and readmission risk similarly. After discharge, most prefer earlier discharge with home oxygen. Earlier education to increase comfort with home technology may facilitate NICU discharge planning.

Developing routinely recorded clinical data from electronic patient records as a national resource to improve neonatal health care: the Medicines for Neonates research programme

Background

Clinical data offer the potential to advance patient care. Neonatal specialised care is a high-cost NHS service received by approximately 80,000 newborn infants each year.

Objectives

(1) To develop the use of routinely recorded operational clinical data from electronic patient records (EPRs), secure national coverage, evaluate and improve the quality of clinical data, and develop their use as a national resource to improve neonatal health care and outcomes. To test the hypotheses that (2) clinical and research data are of comparable quality, (3) routine NHS clinical assessment at the age of 2 years reliably identifies children with neurodevelopmental impairment and (4) trial-based economic evaluations of neonatal interventions can be reliably conducted using clinical data. (5) To test methods to link NHS data sets and (6) to evaluate parent views of personal data in research.

Design

Six inter-related workstreams; quarterly extractions of predefined data from neonatal EPRs; and approvals from the National Research Ethics Service, Health Research Authority Confidentiality Advisory Group, Caldicott Guardians and lead neonatal clinicians of participating NHS trusts.

Setting

NHS neonatal units.

Participants

Neonatal clinical teams; parents of babies admitted to NHS neonatal units.

Interventions

In workstream 3, we employed the Bayley-III scales to evaluate neurodevelopmental status and the Quantitative Checklist of Autism in Toddlers (Q-CHAT) to evaluate social communication skills. In workstream 6, we recruited parents with previous experience of a child in neonatal care to assist in the design of a questionnaire directed at the parents of infants admitted to neonatal units.

Data sources

Data were extracted from the EPR of admissions to NHS neonatal units.

Main outcome measures

We created a National Neonatal Research Database (NNRD) containing a defined extract from real-time, point-of-care, clinician-entered EPRs from all NHS neonatal units in England, Wales and Scotland (n = 200), established a UK Neonatal Collaborative of all NHS trusts providing neonatal specialised care, and created a new NHS information standard: the Neonatal Data Set (ISB 1595) (see http://webarchive.nationalarchives.gov.uk/±/http://www.isb.nhs.uk/documents/isb-1595/amd-32–2012/index_html; accessed 25 June 2018).

Results

We found low discordance between clinical (NNRD) and research data for most important infant and maternal characteristics, and higher prevalence of clinical outcomes. Compared with research assessments, NHS clinical assessment at the age of 2 years has lower sensitivity but higher specificity for identifying children with neurodevelopmental impairment. Completeness and quality are higher for clinical than for administrative NHS data; linkage is feasible and substantially enhances data quality and scope. The majority of hospital resource inputs for economic evaluations of neonatal interventions can be extracted reliably from the NNRD. In general, there is strong parent support for sharing routine clinical data for research purposes.

Limitations

We were only able to include data from all English neonatal units from 2012 onwards and conduct only limited cross validation of NNRD data directly against data in paper case notes. We were unable to conduct qualitative analyses of parent perspectives. We were also only able to assess the utility of trial-based economic evaluations of neonatal interventions using a single trial. We suggest that results should be validated against other trials.

Conclusions

We show that it is possible to obtain research-standard data from neonatal EPRs, and achieve complete population coverage, but we highlight the importance of implementing systematic examination of NHS data quality and completeness and testing methods to improve these measures. Currently available EPR data do not enable ascertainment of neurodevelopmental outcomes reliably in very preterm infants. Measures to maintain high quality and completeness of clinical and administrative data are important health service goals. As parent support for sharing clinical data for research is underpinned by strong altruistic motivation, improving wider public understanding of benefits may enhance informed decision-making.

Future work

We aim to implement a new paradigm for newborn health care in which continuous incremental improvement is achieved efficiently and cost-effectively by close integration of evidence generation with clinical care through the use of high-quality EPR data. In future work, we aim to automate completeness and quality checks and make recording processes more ‘user friendly’ and constructed in ways that minimise the likelihood of missing or erroneous entries. The development of criteria that provide assurance that data conform to prespecified completeness and quality criteria would be an important development. The benefits of EPR data might be extended by testing their use in large pragmatic clinical trials. It would also be of value to develop methods to quality assure EPR data including involving parents, and link the NNRD to other health, social care and educational data sets to facilitate the acquisition of lifelong outcomes across multiple domains.

Study registration

This study is registered as PROSPERO CRD42015017439 (workstream 1) and PROSPERO CRD42012002168 (workstream 3).

Funding

The National Institute for Health Research Programme Grants for Applied Research programme (£1,641,471). Unrestricted donations were supplied by Abbott Laboratories (Maidenhead, UK: £35,000), Nutricia Research Foundation (Schiphol, the Netherlands: £15,000), GE Healthcare (Amersham, UK: £1000). A grant to support the use of routinely collected, standardised, electronic clinical data for audit, management and multidisciplinary feedback in neonatal medicine was received from the Department of Health and Social Care (£135,494).

Health-care spending and utilization for children discharged from a neonatal intensive care unit

OBJECTIVES

To describe health-care spending and utilization for infants discharged from the neonatal intensive care unit (NICU).

STUDY DESIGN

Retrospective cohort analysis of 4973 NICU graduates in the Truven MarketScan Medicaid database, with follow-up to the third birthday. Health-care spending and utilization after NICU discharge were assessed. Using logistic regression, we assessed clinical characteristics associated with hospitalization and emergency department (ED) visits.

RESULTS

Most (69.5%) post-NICU spending occurred within the first year [$33,276 per member per year]. Inpatient care accounted for most (71.6%) of the 3-year spending. The percentages of infants with a 1-year readmission or ED visit were 36.8% and 63.7%, respectively. Medical technology was associated with the highest likelihoods of hospital [aOR 17.8 (95%CI 12.2-26.0)] and ED use [aOR 2.3 (95%CI 1.8-3.0)].

CONCLUSIONS

Hospital care accounts for the majority of spending for NICU graduates. Infants with medical technology have the highest risk of hospital and ED use.

National Quality Measures in Perinatal Medicine

There are numerous measures of perinatal quality endorsed by national agencies such as the National Quality Forum (NQF). The sheer number of metrics may lead to confusion about what these measures truly assess, and how to interpret variation in these measures across hospitals, health care systems, and geographic regions. This review presents a conceptual model for the numerous validated measures, an overview of the types of measures endorsed for perinatal quality by NQF in 2016, and potential measures absent from endorsement by these national bodies.

A systematic review of administrative and clinical databases of infants admitted to neonatal units

OBJECTIVES

High quality information, increasingly captured in clinical databases, is a useful resource for evaluating and improving newborn care. We conducted a systematic review to identify neonatal databases, and define their characteristics.

METHODS

We followed a preregistered protocol using MesH terms to search MEDLINE, EMBASE, CINAHL, Web of Science and OVID Maternity and Infant Care Databases for articles identifying patient level databases covering more than one neonatal unit. Full-text articles were reviewed and information extracted on geographical coverage, criteria for inclusion, data source, and maternal and infant characteristics.

RESULTS

We identified 82 databases from 2037 publications. Of the country-specific databases there were 39 regional and 39 national. Sixty databases restricted entries to neonatal unit admissions by birth characteristic or insurance cover; 22 had no restrictions. Data were captured specifically for 53 databases; 21 administrative sources; 8 clinical sources. Two clinical databases hold the largest range of data on patient characteristics, USA's Pediatrix BabySteps Clinical Data Warehouse and UK's National Neonatal Research Database.

CONCLUSIONS

A number of neonatal databases exist that have potential to contribute to evaluating neonatal care. The majority is created by entering data specifically for the database, duplicating information likely already captured in other administrative and clinical patient records. This repetitive data entry represents an unnecessary burden in an environment where electronic patient records are increasingly used. Standardisation of data items is necessary to facilitate linkage within and between countries.

Hospital Admission and Emergency Department Utilization in an Infant Medicaid Population

BACKGROUND AND OBJECTIVE

In the first year of life, the rate of rehospitalization for infants has been shown to be between 4.4% and 9.5%. Reducing avoidable health care utilization is a population health priority. The goal of this study was to identify maternal and infant factors associated with rehospitalization and emergency department (ED) utilization in a cohort of newborn Medicaid recipients.

METHODS

A longitudinal database was created by linking mother-infant dyads giving birth at a regional perinatal referral center with Delaware state Medicaid data. Multivariable logistic regression and negative binomial regression were used to examine inpatient hospitalization and ED utilization within 6 months after birth.

RESULTS

The study cohort included 4112 infants; 452 (11.0%) were rehospitalized, and 1680 (41%) used the ED within 6 months of birth. Variables independently associated with inpatient rehospitalization included NICU admission (odds ratio [OR]: 1.7 [95% confidence interval (CI): 1.3-2.3]), maternal bipolar diagnosis (OR: 1.5 [95% CI: 1.1-2.2]), count of maternal prenatal hospital admissions (OR: 1.3 [95% CI: 1.1-1.5]), and count of maternal ED visits (OR: 1.08 [95% CI: 1.04-1.1]). Black race (incident rate ratio [IRR]: 1.2 [95% CI: 1.1-1.3]), fall birth (IRR: 1.2 [95% CI: 1.01-1.3]), count of maternal ED visits (IRR: 1.1 [95% CI: 1.09-1.12]), number of maternal medications (IRR: 1.02 [95% CI: 1.01-1.03]), and maternal age (IRR: 0.97 [95% CI: 0.96-0.98]) were associated with ED utilization.

CONCLUSIONS

In this newborn Medicaid population, multiple maternal factors (including age, race, and mental health diagnoses) were associated with health care utilization in the 6 months after initial hospital discharge. Our data provide potential risk factors for targeted intervention and suggest that maternal factors should be considered in identifying a population at risk for rehospitalization and ED utilization.

Challenges, successes and opportunities for reducing readmissions in a referral-based children's hospital NICU

AIM

To evaluate readmission data in a level IV neonatal intensive care unit (NICU) to identify patient characteristics and process failures which serve as drivers for readmission.

METHODS

Our center is a primary referral center in Central and Southeast Ohio, providing us a unique opportunity to evaluate readmissions. We studied our current discharge process, caregiver perception of discharge readiness, parental comfort and the pre-discharge and post-discharge characteristics of infants.

RESULTS

Our readmission rate during the 4 year period has remained stable at 9.8%. 74% of the caregivers rated that their perception of their baby's medical readiness for discharge was good to excellent. Duration of hospitalization and public insurance coverage (Medicaid) were significant risk factors for readmission (p = 0.00). In our setting, the majority of the patients are readmitted through the emergency department and nearly half of all readmissions were for 3 or fewer days. Patients discharged from our Comprehensive Center for BPD had similar readmission rate despite characteristics which should increase their readmission rate.

CONCLUSIONS

Readmission rate is a poor indicator of the quality of care provided in the NICU. In addition to patient factors such as longer length of stay and Medicaid, our data suggests that preventing readmission depends on having systems in place to help families cope with transition of care after discharge.