Skip to main content
NIHPA Author Manuscripts logoLink to NIHPA Author Manuscripts
. Author manuscript; available in PMC: 2016 Apr 1.
Published in final edited form as: Am J Obstet Gynecol. 2014 Nov 13;212(4):491.e1–491.e8. doi: 10.1016/j.ajog.2014.11.014

Two practice models in one labor and delivery unit: Association with cesarean delivery rates

Malini NIJAGAL 1, Miriam KUPPERMANN 2,3, Sanae NAKAGAWA 2, Yvonne CHENG 4
PMCID: PMC4387106  NIHMSID: NIHMS648522  PMID: 25446697

Abstract

Objective

To examine the association between labor and delivery practice model and cesarean delivery rates at a community hospital.

Methods

This was a retrospective cohort study of 9,381 singleton live births at one community hospital, where women were provided labor and delivery care under one of two distinct practice models: a traditional “private” practice model and a midwife-physician “laborist” practice model. Cesarean rates were compared by practice model, adjusting for potential sociodemographic and clinical confounders. Statistical comparisons were performed using the chi square test and multivariable logistical regression.

Results

Compared with women managed under the midwife/laborist model, women in the private model were significantly more likely to have a cesarean delivery (31.6% vs 17.3%, p<0.001; adjusted odds ratio [aOR] 2.11, 95% confidence interval [CI] 1.73-2.58). Women with nulliparous, term, singleton, vertex (NTSV) gestations also were more likely to have a cesarean delivery if they were cared for in the private model (29.8% versus 15.9%, p<0.001; aOR 1.86, 95% CI 1.33-2.58) as were women who had a prior cesarean delivery (71.3% versus 41.4%, p<0.001; aOR 3.19, 95% CI 1.74-5.88).

Conclusion

In this community hospital setting, a midwife-physician laborist practice model was associated with lower cesarean rates than a private practice model.

INTRODUCTION

Approximately one in three pregnant women in the United States undergoes cesarean delivery each year.1 Numerous patient-specific factors, including maternal obesity and advanced age, may be contributing to the rapid increase in cesarean delivery rates over the past two decades.2,3 However, healthcare provider and system factors also likely play important roles. As cesarean is associated with increased maternal morbidity and mortality, identifying modifiable risk factors is critical to addressing growing concerns about the cesarean rate in this country.4,5

The significant variation in rates between hospitals across the U.S. supports the concept that institutional policies, hospital staffing structure and the “culture” around birth may impact cesarean rates.6,7,8 Little is known, however, about specific modifiable hospital-level factors that directly influence cesarean rates. We sought to investigate the extent to which model of care is one such factor, by examining the differences in cesarean rates between two different models of care in the same hospital. We hypothesized that a model involving in-house 24-hour provider coverage is associated with a lower cesarean rate than a traditional private practice model.

MATERIAL AND METHODS

We conducted a retrospective cohort study of singleton live births delivered at Marin General Hospital between January 1, 2005, and December 31, 2010. Approval for this study was obtained from the institutional review boards of Marin General Hospital (no number; 9/12/11) and the University of California, San Francisco (11-07-916). Marin General Hospital is a 235-bed community hospital that houses the only labor and delivery (L&D) unit in the county. During the study period, the L&D unit had two distinct models of care: a midwife-obstetrician laborist model (subsequently referred to as “midwife/laborist”), and a traditional private practice model (subsequently referred to as “private”). Women receiving care from private obstetrical providers with privileges at Marin General Hospital were managed under the private model, while women receiving prenatal care from the County of Marin Health and Human Services obstetrical care program were managed under the midwife/laborist model. All other women presenting for L&D care, including those with a non-Marin prenatal care provider, who had undergone an unsuccessful homebirth attempt, or who had no prenatal care, were managed under the midwife/laborist model. As the hospital's neonatal intensive care unit is level 2, the study cohorts only contain women less than 33 weeks who were considered unstable for transfer to a tertiary care center.

Under the midwife/laborist model, L&D care was provided by a 24-hour, in-hospital team of one certified nurse-midwife and one obstetrician. The care was midwife-led, with the extent of physician involvement determined by standard protocols reflective of the patient's obstetrical and medical risk factors. Under the private model, women received prenatal care from providers who were either solo-practitioners or part of a group practice. In this model, the private practitioner or one of his/her call partners were responsible for all aspects of L&D care, with no involvement from the midwife/laborist providers except in rare occasions when urgent physician involvement was needed in the context of obstetric or medical emergencies. During the study period, there were 20 private practitioners who provided in-hospital care to women under the private model: 18 obstetricians and two CNMs who worked in physician-owned practices. Under the midwife/laborist model, 20 CNMs and 25 obstetricians provided in-hospital care. All nurses were assigned to patients independent of provider practice type.

Data for this study, including maternal sociodemographic and clinical characteristics, and perinatal outcomes, were obtained from the hospital's perinatal data collection system (Perinatal Data Center by Site of Care Systems ©). Our primary outcomes included any cesarean delivery, cesarean among nulliparous women at term with singleton, vertex gestations (NTSV), and elective repeat cesarean. The secondary outcomes were operative vaginal delivery, delivery mode (cesarean or vaginal) among women with prior cesarean, 5-minute Apgar score <7, umbilical cord arterial pH <7.1, and umbilical cord base deficit <-12. The definitions of these outcomes are included in Table 1. Our primary exposure was practice model, which was based on the prenatal care provider on record and not the delivering provider of record. Intrapartum management of patients was according to the managing provider's interpretation of case presentation and clinical judgment.

Table 1.

Definitions of outcomes

Numerator Denominator
PRIMARY OUTCOMES
Overall cesarean rate Cesarean births Live births
NTSV cesarean rate Cesarean births Live births among nulliparous women with pregnancies that are vertex at time of presentation, singleton, and at least 37 0/7 weeks gestation
Elective repeat cesarean rate Cesarean births with primary indication = “prior cesarean”, “elective”, or “maternal request” Live births among women with prior cesarean
SECONDARY OUTCOMES
Overall repeat cesarean rate Cesarean births Live births among women with prior cesarean
VBAC rate Vaginal births Live births among women with prior cesarean
Forceps assisted vaginal delivery Forceps assisted vaginal births Live births
Vacuum assisted vaginal delivery Vacuum assisted vaginal births Live births
Five minute Apgar <7 Five minute Apgar <7 Live births
Cord artery pH <7.1 Cord artery pH <7.1 Live births
Umbilical cord base deficit <-12 Umbilical cord base deficit <-12 Live births
PRIMARY INDICATION FOR NTSV CESAREAN
Well defined
Maternal request Cesarean births with primary indication = “maternal request” or “elective” NTSV live births
Absolute obstetrical indications Cesarean births with primary indication = prior non-cesarean hysterotomy, placenta previa, active genital herpes, cord prolapse, uterine rupture. NTSV live births
Not well defined
Arrest disorder Cesarean births with primary indication = arrest disorder (Arrest of dilation, arrest of descent, failed induction of labor) NTSV live births
Fetal heart rate abnormality Cesarean births with primary indication= fetal heart tracing abnormality NTSV live births
No absolute obstetrical indication Cesarean births with primary indication = indication other than arrest disorder, fetal heart rate abnormality, or “absolute indication” NTSV live births

NTSV, Nulliparous term sing eton vertex; VBAC, vaginal birth after cesarean.

We used the chi-square test and multivariable logistic regression analysis to examine the association between model of care and delivery mode. The covariates included in the multivariable logistic regression model included maternal age, race/ethnicity, education, parity, and insurance status; maternal pre-gestational or gestational diabetes, maternal hypertensive disorder, and other maternal medical condition; adequacy of prenatal care visits (greater than 8 visits); use of epidural analgesia, induction of labor, and gestational age at delivery, as well as birth weight. Midwife/laborist group was designated as the reference comparison in the multivariable logistic regression analysis.

To further investigate the difference in NTSV cesarean rates between the midwife/laborist and private groups, we examined indications for operative delivery. In this analysis, we sought to distinguish between cesareans performed for indications that are “not well-defined” and therefore may be affected by model of care, and those performed for “well defined” indications that should not change based on provider setting. Indications that we considered well-defined were “maternal request” and “absolute obstetrical indication” (prior non-cesarean hysterotomy, placenta previa, active herpes, cord prolapse, uterine rupture). Indications that we considered to be “not well-defined” included arrest disorder, fetal heart rate abnormality, and indications other than “absolute obstetrical indication” (Table 1).

RESULTS

There were 9,381 singleton live births at Marin General Hospital during the study period, with 3,987 (42.5%) were managed under the midwife/laborist model and 5,394 (57.5%) under the private model. Compared to women in the midwife/laborist group, women in the private group were more likely to be white, age > 35, nulliparous, privately insured, and to have attended college (p<0.001 for all, Table 2). They also weighed more on average (median 77.7 kg versus 73.6 kg; p<0.001).

Table 2.

Sociodemographic and clinical characteristics of women delivered by the hospitalist group versus the private practice group

Hospitalist (n=3987) Private practice (n=5394) P-value
Sociodemographic characteristics
Age >35 years 499 (12.5%) 2452 (45.5%) <.001
Race/ethnicity <.001
    White 502 (12.6%) 4241 (78.6%)
    Black/African American 102 (2.6%) 109 (2.0%)
    Latino 3138 (78.7%) 520 (9.6%)
    Asian/Pacific Islander 96 (2.4%) 316 (5.9%)
    Other* 149 (3.7%) 208 (3.9%)
High school graduate or less 3260 (83.2%) 811 (15.3%)
Private insurance 360 (9.0%) 5044 (93.5%) <.001
Clinical characteristics
Median maternal weight at admission (kg (interquartile range)) 73.6 (66.4, 82.7) 77.7 (70.5, 86.4) <.001
Nulliparous 1617 (40.6%) 2403 (44.5%) <.001
Prior cesarean delivery 486 (12.2%) 901 (16.7%) <.001
Maternal medical problems
    Gestational diabetes/diabetes mellitus 369 (9.3%) 172 (3.2%) <.001
    Hypertensive disorders 133 (3.3%) 200 (3.7%) .34
    Other medical problems 163 (4.1%) 498 (9.2%) <.001
Obstetric interventions
Epidural binary 1180 (29.6%) 3217 (59.6%) <.001
Induction of labor 445 (11.2%) 754 (14.0%) <.001
    Medically indicated (maternal, fetal condition or rupture of membrane) 413 (10.4%) 543 (10.1%) 0.64
    Elective 13 (0.3%) 168 (3.1%) <.001
Infant characteristics
    Birth weight >/= 4000 grams 384 (9.6%) 650 (12.1%)
    Gestational age at delivery (weeks) <.001
        24 - 33+6 30 (0.8%) 18 (0.3%)
        34 - 36+7 197 (4.9%) 224 (4.2%)
        37 - 38+9 895 (22.5%) 1117 (20.8%)
        39+ 2858 (71.8%) 4023 (74.7%)
*

Includes Native American and multiethnic.

Includes hepatitis, human immunodeficiency virus, cardiac disease, thyroid problems, and asthma.

In addition, compared to women cared for under the midwife/laborist model, women managed under the private model were more likely to have had a prior cesarean delivery, to undergo induction of labor in the current pregnancy, and to use an epidural during labor (p<0.001 for all). They were also less likely to carry a diagnosis of pre-existing or gestational diabetes mellitus (3.2% versus 9.3%, p<0.001), but more likely to have a medical condition other than hypertension or diabetes (9.2% versus 4.1%, p<0.001). Finally, the proportion of women who delivered in each gestational age range differed by group (Table 2).

The overall rate of cesarean delivery differed dramatically between the two groups. While 31.6% of women managed under the private model had a cesarean, only 17.3% women in the midwife/laborist group underwent this delivery mode (p<0.001). Even after controlling for covariates, the adjusted odds of cesarean delivery among women in the private group was twice that of women in the midwife/laborist group (adjusted odds ratio (aOR) 2.11, 95% confidence interval (CI) 1.73-2.58; Table 3). Among the NTSV subset, women managed under the private model were also nearly twice as likely as those in the midwife/laborist group to have a cesarean (29.8% versus 15.9%, p<0.001; aOR 1.86, CI 1.33-2.58). And, among women with a prior cesarean delivery, those in the private group were substantially more likely than those in the midwife/laborist group to have an elective scheduled repeat cesarean (71.3% versus 41.4%, p<0.001; aOR 3.19, CI 1.74-5.88). Of note, although over the six-year study period, both groups had changes in the specific clinicians that were providing care and their number of years in practice, the annual rate of cesarean remained constant in each group.

Table 3.

Operative delivery rates by the model of care stratified by patient subgroup

Hospitalist Private Practice aOR (95% CI) * P-value
All ages n=3987 n=5394
Cesarean delivery among all women 689 (17.3%) 1704 (31.6%) 2.11 (1.73-2.58) <.001
Cesarean delivery among women with NTSV 236 (15.9%) 627 (29.8%) 1.86 (1.33-2.58) <.001
ERCD (among all women with prior cesarean) 201 (41.4%) 642 (71.3%) 3.19 (1.74-5.88) <.001
VBAC (among all women with prior cesarean) 187 (38.5%) 162 (18.0%) 0.42 (0.22-0.80) .008
Forceps assisted delivery among all women 49 (1.2%) 89 (1.6%) 0.72 (0.36-1.41) .34
Vacuum assisted delivery among all women 146 (3.7%) 267 (4.9%) 0.68 (0.45-1.01) .05
Maternal age <35 (n=3488) (n=2941)
Cesarean delivery among all women 562 (16.1%) 814 (27.7) 1.99 (1.57-2.51) <0.001
Cesarean delivery among NTSV 196 (14.3%) 349 (25.1%) 2.43 (1.64-3.61) <0.001
ERCD (among all women with prior cesarean) 159 (39.9%) 271 (72.1%) 3.34 (1.63-6.84) .001
VBAC (among all women with prior cesarean) 158 (39.7%) 64 (17.0%) 0.43 (0.21 – 0.9) .03
Forceps assisted delivery among all women 44 (1.3%) 49 (1.7%) 0.58 (0.26-1.29) .18
Vacuum assisted delivery among all women 120 (3.4%) 158 (5.4%) 0.76 (0.47-1.23) .27
Maternal age ≥35 n=499 n=2452
Cesarean delivery among all women 127(25.5%) 889 (36.3%) 2.61 (1.78-3.82) <0.001
Cesarean delivery among NTSV 40 (36.4%) 278 (38.8%) 1.07 (0.60-1.90) .82
ERCD (among all women with prior cesarean) 42 (47.7%) 371 (70.7%) 2.99 (0.93-9.69) .07
VBAC (among all women with prior cesarean) 29 (33.0%) 98 (18.7%) 0.26 (0.07 – 0.95) .04
Forceps assisted delivery among all women 5 (1.0%) 40 (1.6%) 1.62 (0.40-6.55) .50
Vacuum assisted delivery among all women 26 (5.2%) 109 (4.4%) 0.54 (0.27-1.09) .09

NTSV, Nulliparous term singleton vertex; ERCD, elective repeat cesarean delivery; VBAC, vaginal birth after cesarean; aOR, adjusted odds ratio; CI, confidence interval.

*

aOR (95% CI) for private practice model compared to hospitalist practice model. Adjusted for maternal age, race/ethnicity, education, parity, adequacy of prenatal care visit (greater than 8 visits), insurance status, gestational age, birth weight, epidural, induction, maternal pre-gestational or gestational diabetes, maternal hypertensive disorder, and other maternal medical condition.

Given the known higher incidence of cesarean among women of advanced maternal age and the significant difference in age between women in the two groups (mean 33.5 vs. 27.1 years), we performed an age-matched analysis of primary outcomes using a threshold of 35 years (Table 3). Among women aged less than 35 years at time of delivery, we observed that compared to those in the midwife/laborist group, those in the private group had two-fold higher odds of cesarean (aOR 1.99, 95% CI =1.57-2.51), which was more pronounced among the younger NTSV population (aOR 2.43, 95% CI 1.64-3.61). And younger women with a prior cesarean who were managed in the private model were also more likely to undergo elective scheduled repeat cesarean delivery (72.1% versus 39.9%, p=0.001; aOR 3.34, CI 1.63-6.84). Among women aged 35 and older, those managed under the private model also were more likely to have a cesarean (36.3% vs. 25.5%; aOR 2.61, CI 1.78-3.82), but no statistically significant difference in rates or odds of NTSV or scheduled repeat cesareans emerged.

Because NTSV deliveries are considered an ideal target for lowering the overall incidence of cesarean,1 we further explored the difference in NTSV cesareans between the two practice models by examining indications for cesarean delivery (Table 4). 29.8% of NTSV deliveries in the private model were by cesarean, versus 15.9% in the midwife/laborist model. In both groups, very few women were delivered by cesarean for “well defined indications,” and a significant difference across group did not emerge (0.1% versus 0.5%, p=0.15). For indications that are less well-defined and require providers’ clinical judgment (including arrest disorder and fetal heart tracing abnormality), women in the private group were again found to be at higher odds of cesarean compared to those in the midwife/laborist group (28.1% versus 15.6%, aOR 1.69 CI 1.21-2.37).

Table 4.

Cesarean delivery rates by indication among nulliparous women with term, singleton, vertex gestations by model of care

Hospitalist n=1485 Private Practice n=2104 aOR(95% CI)* P-value
Any cesarean delivery 236 (15.9%) 627 (29.8%) 1.86 (1.33-2.58) <.001
Cesarean with well-defined indication 4 (0.3%) 36 (1.7%) 8.99 (1.88-42.89) .006
    Absolute objective indication 2 (0.1%) 11 (0.5%) 5.5 (0.5-57.38) .15
    On maternal request 2 (0.1%) 25 (1.2%) 11.5 (1.4-94.38) .02
Cesarean without well-defined indication 232 (15.6%) 591 (28.1%) 1.69 (1.21-2.37) 0.002
*

aOR (95% CI) for private practice model compared to hospitalist practice model. Adjusted for maternal age, race/ethnicity, education, adequacy of prenatal care visit (greater than 8 visits), insurance status, gestational age, birth weight, epidural, induction, maternal pre-gestational or gestational diabetes, maternal hypertensive disorder, and other maternal medical condition.

Prior non-cesarean hysterotomy, placenta previa, active herpes, cord prolapse, uterine rupture.

Includes arrest disorder, fetal heart rate abnormality, and indications other than “absolute obstetrical indication.”

We also examined neonatal outcome associated with mode of delivery and model of care. We observed that neonates born under the private model were less likely to have a 5-minute Apgar score <7 (0.7%) compared to those in the midwife/laborist group [1.8%, aOR 0.22 (95% CI 0.10-0.48)]. When stratified by delivery mode, neonates delivered by intrapartum cesarean were not at lower risk of 5-minute Apgar <7 by practice model, but those delivered vaginally were less likely to have low Apgar score when cared for by the private group (Table 5). The incidence rate and the adjusted odds of umbilical cord arterial pH <7.1 and umbilical cord base deficit <-12 were not different between the midwife/laborist and private practice groups (Table 5).

Table 5.

Neonatal outcomes by model of care

Hospitalist Private practice P-value aOR (95% CI)*
5-minute Apgar <7 (all) 1.8% 0.7% <0.001 0.22 (0.10-0.48)
5-minute Apgar <7 (vaginal delivery) 1.9% 0.9% <0.001 0.18 (0.08-0.41)
5-minute Apgar <7 (cesarean delivery) 1.3 % 0.9 % 0.41 0.54 (0.12-2.37)
Umbilical cord arterial pH <7.1 3.9% 2.7% 0.85 1.06 (0.60-1.86)
Umbilical cord base deficit <-12 1.1% 0.9% 0.81 0.88 (0.32-2.46)
*

aOR (95% CI) for private practice model compared to hospitalist practice model. Adjusted for maternal age, race/ethnicity, education, adequacy of prenatal care visit (greater than 8 visits), insurance status, gestational age, birth weight, epidural, induction, maternal pre-gestational or gestational diabetes, maternal hypertensive disorder, and other maternal medical condition.

DISCUSSION

In this study, we observed a consistent pattern of higher use of cesarean delivery among women cared for under the private model compared to women cared for under a midwife/laborist model. While prior studies have documented variation in cesarean rates between U.S. hospitals,6,9,10 it is difficult to isolate the effect of model of care from other contributory hospital-level factors such as the type of hospital,11,12 the availability of anesthesia and NICU services,11 the option to undergo trial of labor after cesarean,13,14 and, possibly, hospital staff attitudes around cesarean.5,15 By examining cesarean rates among two different models of care within the same L&D unit, we were able to control for these hospital-level factors. Our findings suggest that in the community care setting, a hospital's model of L&D care may play an important role in the institution's cesarean delivery rate. Whether this association can be generalized to other hospital settings, such as academic-affiliated hospitals or hospitals under managed care organization, awaits further elucidation.

Several differences between the two models of care in our study could have lead to the difference in cesarean rates we observed. First, in the midwife/laborist model, the clinicians making decisions regarding labor management were in the hospital at all times, without outside responsibilities or commitments. In contrast, clinicians under the private model were usually in their outpatient offices or on-call from home, coming to the hospital on an “as-needed” basis for imminent delivery or situations that warranted a clinicians’ presence. As such, the private clinicians may have been more likely to encounter competing demands, and balancing needs and clinical outcomes of women in the inpatient and outpatient settings may have influenced their decision making.5,7,8 To explore this possibility, we examined the timing of intrapartum cesareans; a statistically significant relationship between time of day cesareans were performed and L&D coverage type did not emerge. However, the most likely phenomenon is one that would not reveal such a relationship: clinicians called in from their offices by a concerned L&D nurse may be more likely to proceed with cesarean than to watch closely and allow labor to progress, leading to an overall higher cesarean rate. In one large non-academic hospital, the primary cesarean rates of 10 of 17 physicians significantly decreased once their call duty was changed from out-of-hospital (private) to in-hospital (as in the midwife/laborist model).16 The authors suggest that more direct patient contact, immediacy of case management, and avoidance of external professional or personal duty pressures may have played a role in the observed decrease in cesareans.

A second difference between the groups was practice structure. In the midwife/laborist model, a larger group of providers shared the responsibility for each patient, whereas in the private model, individual providers or small groups of providers (up to of six physicians) had a panel of patients that they ultimately cared for from early pregnancy through the intrapartum and postpartum periods. It has been suggested that group practices are associated with lower cesarean rates than solo provider practices.17,18 Indeed, in this study, there was a higher odds of cesarean among patients managed by providers in solo private practice compared to those managed by providers in group private practice (aOR =1.43, p<0.001). One hypothesis for this observation is that larger group practices are more likely to have operational elements that are associated with lower cesarean rate, such as lower frequency of night calls, the ability to obtain second opinions, the implementation of systematic protocols, and having quality assurance programs.8,19,20

Finally, a difference in provider type existed between the two models of care: women in the midwife/laborist group were managed by a midwife-obstetrician team, while women in the private model were primarily managed by obstetricians. Several studies have suggested lower rates of intervention, including operative delivery, with midwifery compared to physician management;21,22 however, a Cochrane review found no significant difference in cesarean rates comparing midwife led care to “other models” of care, which included obstetrician led care.23 This finding would suggest that the lower cesarean rates in the midwife/laborist group in our study cannot be solely attributed to the involvement of midwives. Nevertheless, as midwives were a central part of the care model, their involvement must be considered as a factors potentially contributing to the significantly lower cesarean rate in this group.

While some diagnoses, such as placenta previa or cord prolapse, clearly require cesarean delivery, others are based on a provider's judgment that neonatal outcome may be improved by cesarean delivery.1 We therefore examined neonatal outcomes in addition to mode of delivery in this study. While we note that neonates delivered to women in the midwife/laborist group were more likely to have a 5-minte Apgar <7, particularly those delivered vaginally, there were no differences in other measures of risk of birth asphyxia, such as low umbilical artery pH (<7.1) and base excess <-12. Some studies have shown that neonates born to women who had public insurance had higher rates of low 5 minute Apgar scores compared to privately insured patients, independent of delivery mode.24,25 In this study, we could not definitively attribute differences in Apgar scores between midwife/laborist and private groups to differences in underlying maternal socioeconomic status, to variation in intrapartum care, or to other factors. Nonetheless, it is important to stress safe prevention of cesarean delivery to optimize both maternal and neonatal outcomes.26

Several limitations of our study deserve comment. First, there were clear sociodemographic differences between the patients managed under the two different models of care. When compared to the midwife/laborist group, the private group patients were substantially more likely to have commercial insurance and to have attended college. They were also predominantly (77%) white, while the midwife/laborist group was predominantly (80.1%) Latina. Though the baseline difference in cesarean rates among white women versus Latinas in the U.S. appears to be small, both private insurance and higher education are associated with higher incidence of cesarean.11,27 In addition, our study is limited by the absence of information on patient preferences and the role they may play in the differing cesarean delivery rates between the groups.

Another limitation of our study is that we do not have information regarding pre-pregnancy body mass index (BMI), which is known to increase the risk of cesarean. Interestingly, population-based data from the Center for Disease Control and Prevention (CDC) shows a higher prevalence of obesity (BMI greater than 30 kg/m2) among adult Latinas compared to white women in the U.S. (33.1% versus 25.2%).28 If obesity was similarly more prevalent among the Latinas in our study population, we would expect the odds of cesarean to be higher in the predominantly Latina midwife/laborist group compared to the predominantly white private group. However, our study observed the opposite effect estimates.

Finally, we did not have access to information about short- or long-term maternal complications, so cannot compare these outcomes. However, given the extensive literature demonstrating that cesarean delivery is associated with higher rates of complications such as postoperative infection, venous thromboembolism, and higher risk in subsequent pregnancy, we believe that the same would hold true for the women in our study.

In summary, our study examines mode of delivery within one hospital, comparing a private practice model, the predominant obstetric care model in the U.S., to a laborist model that incorporated midwifery care. Previous studies have demonstrated that perinatal outcomes may be influenced by non-medical factors such as date and time of delivery, type of clinician call schedule, and attitudes towards cesarean.13,15,29 Our findings suggest that specific models of L&D care may directly or indirectly play a role in the prevalence of cesarean delivery. In recent years, both hospitalist and midwifery models of care have gained attention as potential solutions to pressing issues in obstetrical care including obstetrician burnout, safety concerns with prolonged work-hours, productivity implications of clinicians leaving their offices to attend to laboring patients and the overall cost of delivering care.30,31 Based on our findings, the implementation of obstetrician-midwife laborist programs may also have a positive impact on reducing the rate of cesarean deliveries in the United States.

CONDENSATION.

In one hospital with two practice models for labor and delivery (midwife/laborist and private practice), the cesarean delivery rate across model type differed substantially.

Acknowledgments

FUNDING: This study was supported in part by the National Center for Advancing Translational Sciences, National Institutes of Health, through a grant from the SF Bay Collaborative Research Network, and the National Institute of Child Health and Human Development (K12 HD001262). Its contents are solely the responsibility of the authors and do not necessarily represent the official views of the NIH.

Footnotes

Publisher's Disclaimer: This is a PDF file of an unedited manuscript that has been accepted for publication. As a service to our customers we are providing this early version of the manuscript. The manuscript will undergo copyediting, typesetting, and review of the resulting proof before it is published in its final citable form. Please note that during the production process errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain.

DISCLOSURE: The authors report no conflicts of interest.

This research was presented as a poster at the 61st Annual Clinical Meeting of the American Congress of Obstetricians and Gynecologists, New Orleans, LA, May 4-8, 2013

REFERENCES

  • 1.Spong CY, Berghella V, Wenstrom KD, Mercer BM, Saade GR. Preventing the first cesarean delivery: Summary of a joint Eunice Kennedy Shriver National institute of Child Health and Human Development, Society for Maternal-Fetal Medicine, and American College of Obstetricians and Gynecologists workshop. Obstet Gynecol. 2012;120(5):1181–1193. doi: 10.1097/aog.0b013e3182704880. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 2.MacDorman MF, Menacker F, Declercq E. Cesarean birth in the United States: Epidemiology, trends, and outcomes. Clin Perinatol. 2008;35(2):293–307, v. doi: 10.1016/j.clp.2008.03.007. [DOI] [PubMed] [Google Scholar]
  • 3.Kominiarek MA, Vanveldhuisen P, Hibbard J, et al. The maternal body mass index: A strong association with delivery route. Am J Obstet Gynecol. 2010;203(3):264.e1–264.e7. doi: 10.1016/j.ajog.2010.06.024. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4.Clark EA, Silver RM. Long-term maternal morbidity associated with repeat cesarean delivery. Am J Obstet Gynecol. 2011;205(6 Suppl):S2–10. doi: 10.1016/j.ajog.2011.09.028. [DOI] [PubMed] [Google Scholar]
  • 5.Main EK, Morton CH, Melsop K, Hopkins D, Giuliani G, Gould JB. Creating a public agenda for maternity safety and quality in cesarean delivery. Obstet Gynecol. 2012;120(5):1194–1198. doi: 10.1097/aog.0b013e31826fc13d. [DOI] [PubMed] [Google Scholar]
  • 6.Kozhimannil KB, Law MR, Virnig BA. Cesarean delivery rates vary tenfold among US hospitals; reducing variation may address quality and cost issues. Health Aff (Millwood) 2013;32(3):527–535. doi: 10.1377/hlthaff.2012.1030. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7.Bailit J. Impact of non-clinical factors on primary cesarean deliveries. Semin Perinatol. 2012;36(5):395–398. doi: 10.1053/j.semperi.2012.04.026. [DOI] [PubMed] [Google Scholar]
  • 8.Poma PA. Effect of departmental policies on cesarean delivery rates: A community hospital experience. Obstet Gynecol. 1998;91(6):1013–1018. doi: 10.1016/s0029-7844(98)00077-5. [DOI] [PubMed] [Google Scholar]
  • 9.Boyle A, Reddy UM. Epidemiology of cesarean delivery: The scope of the problem. Semin Perinatol. 2012;36(5):308–314. doi: 10.1053/j.semperi.2012.04.012. [DOI] [PubMed] [Google Scholar]
  • 10.Caceres IA, Arcaya M, Declercq E, et al. Hospital differences in cesarean deliveries in massachusetts (US) 2004-2006: The case against case-mix artifact. PLoS One. 2013;8(3):e57817. doi: 10.1371/journal.pone.0057817. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11.Coonrod DV, Drachman D, Hobson P, Manriquez M. Nulliparous term singleton vertex cesarean delivery rates: Institutional and individual level predictors. Am J Obstet Gynecol. 2008;198(6):694, e1–11. doi: 10.1016/j.ajog.2008.03.026. discussion 694.e11. [DOI] [PubMed] [Google Scholar]
  • 12.Zhang J, Troendle J, Reddy UM, et al. Contemporary cesarean delivery practice in the United States. Am J Obstet Gynecol. 2010;203(4):326.e1–326.e10. doi: 10.1016/j.ajog.2010.06.058. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13.Roberts RG, Deutchman M, King VJ, Fryer GE, Miyoshi TJ. Changing policies on vaginal birth after cesarean: Impact on access. Birth. 2007;34(4):316–322. doi: 10.1111/j.1523-536X.2007.00190.x. [DOI] [PubMed] [Google Scholar]
  • 14.Barger MK, Dunn JT, Bearman S, DeLain M, Gates E. A survey of access to trial of labor in California hospitals in 2012. BMC Pregnancy Childbirth. 2013;13:83–2393-13-83. doi: 10.1186/1471-2393-13-83. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15.Reime B, Klein MC, Kelly A, et al. Do maternity care provider groups have different attitudes towards birth? BJOG. 2004;111(12):1388–1393. doi: 10.1111/j.1471-0528.2004.00338.x. [DOI] [PubMed] [Google Scholar]
  • 16.Klasko SK, Cummings RV, Balducci J, DeFulvio JD, Reed JF., 3rd The impact of mandated in-hospital coverage on primary cesarean delivery rates in a large nonuniversity teaching hospital. Am J Obstet Gynecol. 1995;172(2 Pt 1):637–642. doi: 10.1016/0002-9378(95)90585-5. [DOI] [PubMed] [Google Scholar]
  • 17.Poma PA. Effects of obstetrician characteristics on cesarean delivery rates. A community hospital experience. Am J Obstet Gynecol. 1999;180(6 Pt 1):1364–1372. doi: 10.1016/s0002-9378(99)70021-9. [DOI] [PubMed] [Google Scholar]
  • 18.Berkowitz GS, Fiarman GS, Mojica MA, Bauman J, de Regt RH. Effect of physician characteristics on the cesarean birth rate. Am J Obstet Gynecol. 1989;161(1):146–149. doi: 10.1016/0002-9378(89)90252-4. [DOI] [PubMed] [Google Scholar]
  • 19.Carpenter MW, Soule D, Yates WT, Meeker CI. Practice environment is associated with obstetric decision making regarding abnormal labor. Obstet Gynecol. 1987;70(4):657–662. [PubMed] [Google Scholar]
  • 20.Lagrew DC, Jr, Morgan MA. Decreasing the cesarean section rate in a private hospital: Success without mandated clinical changes. Am J Obstet Gynecol. 1996;174(1 Pt 1):184–191. doi: 10.1016/s0002-9378(96)70392-7. [DOI] [PubMed] [Google Scholar]
  • 21.Jackson DJ, Lang JM, Swartz WH, et al. Outcomes, safety, and resource utilization in a collaborative care birth center program compared with traditional physician-based perinatal care. Am J Public Health. 2003;93(6):999–1006. doi: 10.2105/ajph.93.6.999. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 22.Harvey S, Jarrell J, Brant R, Stainton C, Rach D. A randomized, controlled trial of nurse-midwifery care. Birth. 1996;23(3):128–135. doi: 10.1111/j.1523-536x.1996.tb00473.x. [DOI] [PubMed] [Google Scholar]
  • 23.Hatem M, Sandall J, Devane D, Soltani H, Gates S. Midwife-led versus other models of care for childbearing women. Cochrane Database Syst Rev. 2008;(4):CD004667. doi: 10.1002/14651858.CD004667.pub2. doi(4):CD004667. [DOI] [PubMed] [Google Scholar]
  • 24.Einarsdottir K, Stock S, Haggar F, Hammond G, Langridge AT, Preen DB, et al. Neonatal complications in public and private patients: A retrospective cohort study BMJ Open. 2013;3(5) doi: 10.1136/bmjopen-2013-002786. 10.1136/bmjopen-2013-002786. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 25.Lipkind HS, Duzyj C, Rosenberg TJ, Funai EF, Chavkin W, Chiasson MA. Disparities in cesarean delivery rates and associated adverse neonatal outcomes in New York City hospitals. Obstet Gynecol. 2009;113(6):1239–1247. doi: 10.1097/AOG.0b013e3181a4c3e5. [DOI] [PubMed] [Google Scholar]
  • 26.American College of Obstetricians and Gynecologists, & Society for Maternal-Fetal Medicine Obstetric care consensus no. 1: Safe prevention of the primary cesarean delivery. Obstet Gynecol. 2014;123(3):693–711. doi: 10.1097/01.AOG.0000444441.04111.1d. [DOI] [PubMed] [Google Scholar]
  • 27.Grant D. Explaining source of payment differences in U.S. cesarean rates: Why do privately insured mothers receive more cesareans than mothers who are not privately insured? Health Care Manag Sci. 2005;8(1):5–17. doi: 10.1007/s10729-005-5212-7. [DOI] [PubMed] [Google Scholar]
  • 28.Obesity -early release of selected estimates based on data from the 2011 National Health Interview Survey -Centers for Disease Control and Prevention. http://www.cdc.gov/nchs/data/nhis/earlyrelease/earlyrelease201206_06.pdf. Updated 20122014.
  • 29.Spetz J, Smith MW, Ennis SF. Physician incentives and the timing of cesarean sections: Evidence from california. Med Care. 2001;39(6):536–550. doi: 10.1097/00005650-200106000-00003. [DOI] [PubMed] [Google Scholar]
  • 30.Transforming Maternity Care Symposium Steering Committee. Angood PB, Armstrong EM, et al. Blueprint for action: Steps toward a high-quality, high-value maternity care system. Womens Health Issues. 2010;20(1 Suppl):S18–49. doi: 10.1016/j.whi.2009.11.007. [DOI] [PubMed] [Google Scholar]
  • 31.Olson R, Garite TJ, Fishman A, Andress IF. Obstetrician/gynecologist hospitalists: Can we improve safety and outcomes for patients and hospitals and improve lifestyle for physicians? Am J Obstet Gynecol. 2012;207(2):81–86. doi: 10.1016/j.ajog.2012.06.045. [DOI] [PubMed] [Google Scholar]

RESOURCES