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Contents: Original Research

Time of Birth and the Risk of Severe Unexpected Complications in Term Singleton Neonates

Gould, Jeffrey B. MD; Abreo, Anisha M. MPH; Chang, Shen-Chih PhD; Main, Elliott K. MD

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doi: 10.1097/AOG.0000000000003922
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Providing optimal care regardless of the time or day of birth is an essential goal of perinatal medicine. However, providing optimal care at night and on weekends requires adequate and effective staffing, the availability of diagnostic and therapeutic services, and a team whose performance has not been diminished by fatigue or circadian challenges. Unfortunately, there are many examples of disparities in both maternal and neonatal outcomes by time and day of birth.1–11 For example, in a Swedish study, 12% of early neonatal deaths and in a California study, 9.6% of all neonatal deaths were associated with what was deemed to be decreased quality of care among nighttime births.1,2 In addition to neonatal compromise, clinically significant increases in severe maternal morbidity have also been reported in off-hour births.3 As such, the existence of outcome differentials based on time or day of birth at the institutional, network, or regional level may signal the need for quality improvement interventions. It is important to note that these differentials are not universal. There are several examples of well-staffed, “quaternary,” networks and institutions where there are no time of birth differentials.12–16 These findings support the notion that increased morbidity and mortality during off-hour births may signal clinically significant opportunities to improve perinatal outcomes.

In a recent population-based study that included both vaginal and cesarean births in California, Lyndon and associates found that after careful adjustment for potential differences in case mix, there was a 30% increase in severe maternal morbidity when birth occurred between 11 p.m. and 7 am.3 These findings raised concern that neonatal morbidity may also be increased in off-hour births. To investigate this, we assessed the relationship between severe unexpected neonatal morbidity and time of birth in a cohort of singleton term neonates without evidence of congenital anomalies or preadmission fetal compromise born in California from 2011–2013. We asked the specific questions of whether there was an increase in severe unexpected neonatal morbidity in these uncomplicated births on the afternoon and night shifts and also on weekends, and whether our findings would be seen across all nine perinatal regions.

METHODS

We conducted a population-based, cross-sectional analysis using data derived from a statewide California linked birth certificate-neonatal discharge and maternal discharge data set17 (with a successful linkage rate of 98.2%) produced by the California Maternal Quality Care Collaborative Data Center for the birth years 2011–2013. Births that occurred in military hospitals, birth centers, or at home were excluded because they do not report hospital discharge data. The analysis addressed potential differences in the rate of severe unexpected neonatal complications by nursing shift and day of birth in a cohort of term singleton neonates without preexisting conditions, growth restriction, birth defects, or other fetal conditions and not exposed to maternal drug use using the National Quality Forum 0716 specifications for severe unexpected neonatal morbidity.18 The “Unexpected Complications in Term Newborns” measure was developed by the California Maternal Quality Care Collaborative,19 and consisted of one or more of the following conditions: neonatal death; transfer to higher level of care; severe birth injuries; and severe neurologic, respiratory, or infectious complications. The International Classification of Diseases, Tenth Revision codes for this measure are presented at https://manual.jointcommission.org/releases/TJC2018B1/MIF0393.html. Conditions were identified using linked data from birth certificates and neonatal hospital discharge diagnosis records (disposition and diagnosis codes).

We conducted unadjusted and risk adjusted analyses to assess the relationship between the risk of severe unexpected neonatal morbidity and the time and day of birth. Unadjusted analyses were performed using a univariate logistic regression model with the binary outcome severe unexpected neonatal morbidity, yes or no. Adjusted analyses were modeled using a hierarchical random effects model where individual hospitals were considered random effects and potential confounders as fixed effects. Potential confounders included maternal age, race and ethnicity, body mass index, parity, education, insurance status, prenatal care, maternal eclampsia and preeclampsia, chronic hypertension, diabetes type 1 or 2, gestational diabetes, neonatal weight greater than 4 kg, and hospital volume. Method of delivery was not included in the risk-adjustment model, because it occurred after admission and was at the discretion of the obstetric health care professional. Although there is no standard definition for the three nursing shifts in California, the most common time frames were: daytime (7 am until 3 pm), evening (3 pm until 11 pm) and nighttime (11 pm until 7 am). For ease of presentation these time periods are noted as (7 am–3 pm), (3–11 pm) and (11 pm–7 am). To obtain a more granular view, time of birth was also analyzed and figuratively presented in 1-hour blocks.

We repeated the assessment by nursing shifts for each of Californians nine major perinatal regions to assess the variability in the risk of severe unexpected neonatal morbidity during off hour's births across California.

Adjusted odds ratios (ORs) with 95% CIs were estimated using the GLIMMIX Procedure (SAS 9.4). To address the potential of multiple comparisons, we used the Benjamini-Hochberg false discovery rate procedure to adjust for P-values. We used an adjusted P<.05 as the threshold to select significant results.

The Stanford University institutional review board approved the study.

RESULTS

After exclusions (Fig. 1) the final study cohort included 1,048,957 neonates, of whom 2.0% (20,618) experienced severe unexpected neonatal morbidity. Although there were statistically significant differences in demographic and clinical factors across patients in the three shifts there was no consistent pattern to the differences (Table 1). The rate of severe unexpected neonatal morbidity was lower among births delivered during the day shift (1.8%) and higher on the evening and night shift (2.1% and 2.1%). Births were most frequent during the day shift and decreased on the evening and night shifts. Fewer births occurred on the weekend (Table 2).

Fig. 1.
Fig. 1.:
Study cohort flowchart.Gould. Time of Birth and Neonatal Complications. Obstet Gynecol 2020.
Table 1.
Table 1.:
Hospital Characteristics and Maternal and Neonatal Demographic and Morbidity Characteristics by Nursing Shift
Table 1-A.
Table 1-A.:
Hospital Characteristics and Maternal and Neonatal Demographic and Morbidity Characteristics by Nursing Shift
Table 2.
Table 2.:
Risk of Severe Unexpected Neonatal Complications by Nursing Shift and Day of Birth

Compared with births during the day shift, both the unadjusted and adjusted odds of severe unexpected neonatal morbidity were increased in the neonates of women with uncomplicated births who delivered during the evening and night shifts (Table 2). Compared with births during the day shift, the odds of adjusted severe unexpected neonatal morbidity were increased for births during the evening (adjusted OR 1.10, 95% CI 1.06–1.13) and night shifts (adjusted OR 1.15, 95% CI 1.11–1.19). In our day-of-the-week unadjusted analysis, the odds of severe unexpected neonatal morbidity were significantly increased on both Saturday and Sunday. However, after risk adjustment a significant increased risk of severe unexpected neonatal morbidity was seen only on Sunday (adjusted OR 1.08, 95% CI 1.02–1.14).

Figure 2 shows the hourly course of the adjusted and unadjusted ORs for severe unexpected neonatal morbidity across the three shifts. The above analyses demonstrated that across California as a whole the risk of severe unexpected neonatal morbidity was increased in the evening and night shifts and on Sundays. To examine whether this held true for all of California, we repeated the analysis for each of California's nine major perinatal regions. Only four of the regions had an increase in the odds of severe unexpected neonatal morbidity, two during both the evening and night shifts and two only during the night shift (Table 3). Our analysis also revealed that the increased severe unexpected neonatal morbidity on Sunday was seen only in region E (adjusted OR 1.17, 95% CI 1.06–1.29, Table 3).

Fig. 2.
Fig. 2.:
Odds ratios for severe unexpected newborn complications by hour of birth. Unadjusted odds ratios (A) and adjusted odds ratios (B).Gould. Time of Birth and Neonatal Complications. Obstet Gynecol 2020
Table 3.
Table 3.:
Risk of Severe Unexpected Newborn Complications (Severe Unexpected Neonatal Morbidity) by Nursing Shift and Day of Birth, Stratified by Perinatal Region

DISCUSSION

In our analysis of severe unexpected morbidity in uncomplicated term singleton neonates born in Californian between 2011–2013, we found that after adjusting for temporal differences in case mix, the odds of severe unexpected neonatal morbidity was increased during the evening and night shifts. There was also an 8% increase in the odds of severe unexpected neonatal morbidity for births on Sunday. Note that the results of the unadjusted and adjusted analyses have important but different utility. The unadjusted ORs are of practical significance because they reflect the observed increase, decrease, or no change in the number of women within a specific risk category who will require delivery care. The adjusted ORs are potentially of etiologic significance because they reflect an estimate of the independent association of a risk factor with increasing, decreasing, or having no change in the odds of the outcome under consideration. Although association does not assure causality, adjusted ORs identify areas of risk that are worthy of further consideration for intervention.

Evaluators of temporal changes in the risk of mortality or morbidity have often approached their task as a search for the validity of this phenomenon.12,14,20,21 However, we believe that the evaluation of temporal differences in risk-adjusted levels of adverse outcomes represents an important quality improvement strategy that asks the question, “Will our patients receive the same quality of care regardless of day of week or time of day.” Although there are many examples in which women who deliver in the evening, at night, and on weekends are at increased risk of complications both in themselves and in their offspring, there are also studies where the risk of perinatal complications did not vary by time of day or day of week. We feel that, rather than invalidating the concept of temporal differentials, these examples, often performed in large quaternary centers such as the members of the Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD) Maternal-Fetal Medicine Units Network,12 members of the NICHD Neonatal Research Network,13 as well as individual hospitals,14,15 demonstrate that it is possible to achieve a continuous level of care, not only during off hours but also during the months when care is being delivered by newly arrived and less-experienced house staff.13 Although temporal metrics may unmask an important opportunity to improve care, the quality-improvement literature suggests that the root causes and their specific interventions will vary across institutions. Each institution must consider the adequacy of their evening, night, and weekend staffing with respect to adequacy of number, experience, and their ability to perform well when capacity is strained by high volume or decreased staff.22–27 Fatigue has also been shown to spawn errors in diagnostic and therapeutic judgment and action.28–32 Therefore, one must consider the possibility of fatigue owing to too-long work shifts or too few staff, especially during periods of high volume. Finally, it is important to consider the availability and quality of key diagnostic, therapeutic and support services during the evening, night, and weekend. Although we believe that consideration of the time of birth should be included in every perinatal morbidity and mortality case review, tools designed to facilitate an institution's systematic assessment and a database recording of potential opportunities for quality improvement are needed.

An important limitation of our study is that temporal evaluations at the regional or very large network level have to be interpreted cautiously. Although risk-adjusted ORs derived from a region or large network may reveal a statistically worrisome signal, the signal may have been generated by only certain hospitals within the region. Indeed, within a region or network most quality metrics, severe unexpected neonatal morbidity included33 vary greatly, there being superior, average, and challenged performers at all levels. Although our all-California analysis found a significant increase in risk-adjusted severe unexpected neonatal morbidity during off hours, when we stratified by perinatal region, the risk of increased severe unexpected neonatal morbidity during evening and night nursing shifts was seen in only four of the nine regions. However, further analysis is also required to explore the likely possibility that even in the regions without night and weekend differences there may also be some challenged hospitals. We are also in the process of assessing the possible differences between the four regions that have the increase in severe unexpected neonatal morbidity and the five that do not. These could include differences in maternal sociodemographic status, patterns of staffing, the use of 24 hour in house hospitalists, as well as the availability of support services such as anesthesia during evenings, nights, and weekends.

Our analysis was based on a 2011–2013 birth cohort. Given California's high level of attention to and rapid changes in perinatal quality,34 the need to use more contemporary data represents a second potential limitation of our study. The analysis of temporal differences at the individual hospital level based on more contemporary data is now underway.

A third limitation is our inability to completely rule out that the observed temporal disadvantages were the result of as-yet unidentified patient risk factors, or that our risk adjustment has been incomplete. For example, we did not include labor method (spontaneous, induced, or no labor) because of concerns of the accuracy of these definitions in the administrative data sets. We also felt that other included risk factors such as parity, hypertension and diabetes would comprise most of the potential confounding. Of note, a sensitivity analysis found that a significant elevated risk-adjusted rate of severe unexpected neonatal morbidity was seen only in the combined analysis of the 629,516 neonates who were delivered in the four regions that had an increased rate of severe unexpected neonatal morbidity during the night or evening shifts and not in the combined analysis of the 419,441 neonates who were delivered in the five regions where the rate of severe unexpected neonatal morbidity was not elevated (data available on request); this suggests that our risk selection and adjustment was at least reasonable.

A fourth limitation of this study is that the temporal differences (or lack of differences) for any outcome may reflect only those decisions and operations that are essential to that outcome.2–4 Our choice of severe unexpected neonatal morbidity in a term singleton vertex birth without detected fetal compromise was chosen, in part, to assess the ability of a perinatal team to recognize and act on the unexpected. The extent to which this reflects a team's ability to effectively care for a known high-risk delivery would require an additional temporal analysis of outcomes in high-risk deliveries. Indeed, the finding that there were time-of-day effects on the lowest risk patients raises concern that there might be similar or even greater effects on higher risk women and neonates when delivery occurs at night or on weekends.

In summary, we propose that assessing temporal differences in adverse outcomes represents an important quality improvement strategy. Reports that fail to identify temporal differences provide an important demonstration that it is possible to maintain one's quality of care regardless of time of day or day of week. This is not the case everywhere in California. Our study demonstrates that in California being born in the evening or at night is associated with an increased risk of severe unexpected neonatal morbidity in term singleton neonates without pre-existing fetal conditions.

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