Variation in childbirth services in California: a cross-sectional survey of childbirth hospitals




Objective


The objective of the study was to describe the resources and activities associated with childbirth services.


Study Design


We adapted models for assessing the quality of healthcare to generate a conceptual framework hypothesizing that childbirth hospital resources and activities contributed to maternal and neonatal outcomes. We used this framework to guide development of a survey, which we administered by telephone to hospital labor and delivery nurse managers in California. We describe the findings by hospital type (ie, integrated delivery system [IDS], teaching, and other [community] hospitals).


Results


Of 248 nonmilitary childbirth hospitals in California, 239 (96%)responded; 187 community, 27 teaching, and 25 IDS hospitals reported. The context of services varied across hospital types, with community hospitals more likely to have for-profit ownership, be in a rural or isolated location, and have fewer annual deliveries per hospital. Results included the findings of the following: (1) 24 hour anesthesia availability in 50% of community vs 100% of IDS and teaching hospitals ( P < .001); (2) 24 hour in-house labor and delivery physician coverage in 5% of community vs 100% of IDS and 48% of teaching hospitals ( P < .001); (3) 24 hour blood bank availability in 88% of community vs 96% of IDS and 100% of teaching hospitals ( P = .092); (4) adult subspecialty intensive care unit availability in 33% of community vs 36% of IDS and 82% of teaching hospitals ( P < .001); (5) ability to perform emergency cesarean delivery in 30 minutes 100% of the time in 56% of community vs 100% of IDS and 85% of teaching hospitals ( P < .001); (6) pediatric care available both day and night in 54% of community vs 63% of IDS vs 76% of teaching hospitals ( P = .087); and (7) no neonatal intensive care unit in 44% of community vs 12% of IDS and 4% of teaching hospitals ( P < .001).


Conclusion


Childbirth services varied widely across California hospitals. Cognizance of this variation and linkage of these data to childbirth outcomes should assist in the identification of key resources and activities that optimize the hospital environment for pregnant women and set the groundwork for identifying criteria for the provision of maternal risk-appropriate care.





See related editorial, page 443



In June 2013, D’Alton et al published a call to put the M back in maternal-fetal medicine (MFM), noting evidence of rising rates of maternal morbidity and the need to address critical research gaps in maternal care. They observed that data are accruing to support the consideration of antenatal transfer of women at risk for hemorrhage and that more data on the value of regionalization are needed, particularly with respect to identifying which women would benefit from being transferred to hospitals that could provide risk-appropriate services.


This call was further supported in February 2015 by the publication of a joint statement from the American College of Obstetricians and Gynecologists (ACOG) and the Society for Maternal-Fetal Medicine that proposed the development of standards for maternal risk-appropriate care.


Hospitals vary widely in their rates of maternal morbidity, and to date, research regarding the specific hospital resources required to create a safe childbirth environment for at-risk women is lacking. Although the benefits of antenatal transfer to achieve risk-appropriate care have been demonstrated for the fetus, there remains a need to determine which hospital resources make a difference in maternal outcomes and for whom they make a difference.


To lay the groundwork for these efforts, the purpose of this study was to propose a conceptual framework for detailing the characteristics of childbirth hospitals and to survey California hospitals to document the range and prevalence of childbirth hospital resources and activities. The focus of this study is on the services offered by California childbirth hospitals, which perform more than 500,000 births each year (12.7% of all births in the United States), more than any other US state.


Materials and Methods


The study was approved by the Cedars-Sinai Institutional Review Board (protocol PRO00032669 certified exempt) and complied with all stipulated criteria for participant protection.


Conceptual framework


To date, we have been unable to identify a comprehensive framework for categorizing the many resources and activities associated with hospital childbirth services in the United States. Here we propose a conceptual framework for this study that is based on models in the literature for assessing the quality of health care. This framework hypothesizes that the following domains contribute to maternal and/or neonatal health outcomes: hospital structure/context of services, hospital staffing, hospital clinical resources, and hospital patient care activities.


The many components of childbirth services examined were based on the professional standards set out in Title 22 of the California State Code of Regulations and Guidelines for Perinatal Care , published by the American Academy of Pediatrics and the American College of Obstetricians and Gynecologists. We also reviewed medical literature and worked with perinatologists and perinatal nurse managers to assure that the breadth of each domain was well represented.


Survey development and administration


Our goal was to survey all nonmilitary California childbirth hospitals with respect to the domains of this framework. We did not survey military hospitals or freestanding birth centers because these facilities do not routinely report administrative discharge data to the Office of Statewide Health Planning and Development, which in future work will be linked to the survey results.


We generated survey items within each domain, basing the items in part on those developed for a previous instrument that we administered to labor and delivery managers in California childbirth hospitals to document the range of policies and practices. Both interviewers (D.L.B. and D.S.F.) had considerable experience with the operations of obstetrical services, one having worked as a neonatal intensive care unit (NICU) registered nurse and the other as a clinical fellow in MFM. They were trained to assure consistent administration of the survey, which they piloted among labor and delivery managers at 5 hospitals to assure face and construct validity of the domains and individual items and to assure that nurse managers would be an adequate and reliable source of information. Items were edited in response to the pilot testing.


Upon finalization of all items, interrater reliability was assessed by having each interviewer conduct 5 interviews in the presence of the other (a total of 10 repeat interviews), with each interviewer recording results and agreement determined between the interviewers for each individual item, using Cohen’s kappa for categorical responses and the Shrout-Fleiss intraclass correlation (ICC) for continuous or mixed responses. In addition, 10 participants were retested at 3 months to assure concordance with their previous responses using the Shrout-Fleiss ICC.


Survey items that did not have good interrater or test-retest reliability (kappa < 0.8 or < 80% agreement) were eliminated. The survey contained 185 questions that resulted in 293 individual items, and it took approximately 1 hour to complete. A copy of the survey is available online ( http://amf-consulting.com/mqi/loc/ ).


Contact information for labor and delivery managers at all California childbirth hospitals was obtained through the Regional Perinatal Programs of California, which is a statewide cooperative network of public and private health care providers to promote access to high-quality health care for pregnant women and their babies. The managers were reached by phone and an appointment made for the interview. Managers were offered a $50 gift card as an incentive. A hard copy of the survey was mailed to the managers in advance to assure familiarity with the questions. If needed, multiple repeated attempts were made to contact nurse managers for participation. If no response was achieved after more than approximately 10 attempts, hospital administrators were contacted to identify and contact the most appropriate person to complete the survey. All surveys were completed between November 2012 and January 2014.


Data management and analysis


The interviewer entered information into SurveyMonkey (Palo Alto, CA), and data were exported into SAS (SAS version 9.3; SAS Institute, Cary, NC). Because of inherent differences in care provision, financing, and mission, hospitals were categorized by type (ie, integrated delivery system [IDS] hospitals [ie, hospitals that are part of a network of health care organizations that provide a continuum of health care services, with or without an obstetrical teaching service], obstetrical teaching hospitals [non-IDS], and community hospitals [all others]). Hospitals were classified as having a teaching program in obstetrics (either as a primary site or a site to which residents rotated) as reported by survey respondents, and these responses were confirmed using a national web site listing of residency programs. IDS hospitals were evaluated independently and not under their network affiliation.


Further information was added to the survey data set. The American Hospital Association (AHA) Annual Survey (2012) provided hospital ownership and rural status classification. Other information added was as follows: (1) classification as a Critical Access Hospital in California and (2) NICU level. These additional data are described in the following text.


Rural hospital status was defined by either AHA data (as having microstatus or rural status) or status as a critical access hospital. Hospitals were classified regarding whether they did or did not have an NICU. Basic/primary care hospitals (no NICU) were identified in the annual Utilization Report of Hospitals by the California Office of Statewide Health Planning and Development as having obstetrics beds but no NICU beds.


Hospitals with NICUs were classified as having an intermediate NICU, community NICU, or regional NICU as designated by California Children’s Services (CCS), which is a state program for children with special health care needs, with intermediate NICUs providing less advanced care than community or regional NICUs and regional NICUs providing the most advanced care.


Facilities with licensed NICU beds but no designation by CCS were also identified by using the annual Utilization Report of Hospitals ; such hospitals make up a fourth NICU category, NICU, no CCS. For analytical purposes, those NICUs that did not have a CCS designation were assigned a comparable designation as an intermediate NICU if they had fewer than 15 beds and a community NICU if they had 15 or more beds.


For data analysis, each survey item was described by hospital type, and differences among hospital types were tested using χ 2 tests for categorical variables and nonparametric Kruskal-Wallis tests for continuous variables. Means and SDs are expressed as mean ± SD. If the response to a survey item was not obtained from a hospital, this response was classified as unknown and the denominator reduced accordingly.




Results


The domains and subdomains of childbirth services as represented in the conceptual framework are listed in Table 1 .



Table 1

Domains of childbirth services potentially related to childbirth outcomes





































































































Domains Subdomains
Hospital structure/context Hospital type (eg, IDS, teaching, community)
Hospital ownership
Patient characteristics (eg, age, race/ethnicity, insurance, high-risk status, multiparity, ambulance transport in)
Rural or isolated hospital status
Annual delivery volume
Hospital staffing Nurse staffing (eg, structure, number, workload and nurse-patient ratios, moonlighting availability, on-call system, availability for newborn care)
Physician (obstetrician/family practitioner) staffing (eg, structure, number, laborist availability, 24 hour availability, in-house availability, MFM availability)
Physician (pediatrician/family practitioner) staffing (eg, structure, number, 24 hour availability, neonatologist availability)
Anesthesia staffing (eg, practitioner type, structure [including dedicated labor and delivery service], 24 hour availability)
Physician specialist availability for emergency or consult (eg, general surgeon, gynecological oncologist, urologist, and availability to respond)
Midwifery staffing and patient coverage
Operating room and clerical personnel availability
Availability of a dedicated patient safety nurse
Hospital clinical resources Labor and delivery model of care (in which delivery/recovery takes place)
Triage, antepartum, and postpartum models of care
Adult critical care capability 24 hours
Subspecialty ICU capability 24 hours
NICU capacity 24 hours and licensed level of NICU care
Pharmacy availability 24 hours, availability of specific maternal medications
Blood bank availability 24 hours
Laboratory turnaround time for key laboratory tests
Radiology availability 24 hours, turnaround time for key studies, including ultrasound testing
Central fetal heart rate monitoring availability
Invasive cardiac monitoring availability
Resources for severely obese patients (eg, beds, gurneys, operating room tables, retractors, surgical instruments, resuscitation equipment)
Labor support resources, including epidural availability, natural childbirth
Electronic medical records, prenatal care record availability
Hospital patient care activities CD rate, operative vaginal delivery rate, VBAC delivery rate
Rapid response team availability for the hospital and specifically for labor and delivery unit
Maternal/neonatal transport agreements with referral and referring hospitals
Protocols for emergencies (eg, massive transfusion protocol)
Educational activities for patients (eg, VBAC, sterilization, elective delivery)
Follow-up and educational activities for referring hospitals
Nursing autonomy (eg, performance of cervical examinations, triage activities, fetal scalp electrode placement)
Quality of communication between doctors and nurses
Nurse and physician sign-out procedures, rounds
Policies for when obstetrician should be in-house
Policies for when obstetrician should be called
Policies regarding elective deliveries
Protocols for uncomplicated and complicated patients
Protocols for induction of labor, cesarean delivery, VBAC, postpartum recovery
Drills for emergency situations
Nurse and physician education regarding fetal heart rate monitoring
Tracking of perinatal quality indicators (eg, postpartum hemorrhage, infection, perineal lacerations, episiotomy, antenatal steroids, CD rates)
Leadership for performance improvement

CD , cesarean delivery; ICU , intensive care unit; IDS , integrated delivery system; MFM , maternal-fetal medicine; NICU , neonatal intensive care unit; VBAC , vaginal birth after cesarean.

Korst. Variation in childbirth hospital services. Am J Obstet Gynecol 2015 .


The survey response rate was 96% (239 of 248), with 25 IDS, 27 teaching, and 187 community hospitals reporting. Nine hospitals, 4 IDS, and 5 community hospitals did not respond. The 4 IDS hospitals were large urban hospitals with delivery volumes ranging from 2000 to 5000 annual births. Of the 5 nonresponding community hospitals, 2 had rural status with approximately 400 annual births, and 3 had 600-2400 annual births. The majority of respondents were administrative directors and nurses (n = 141, 59.0%), followed by clinical directors or nurse managers (n = 85, 35.6%) and others (n = 13, 5.4%). The mean number of years working at the current hospital was 12.4 ± 10.1 years, and the mean number of years in the current position was 5.6 ± 5.8 years.


Kappa values to assess interrater reliability for the 270 categorical items had a mean of 0.94 ± 0.15; 28 items with unreliable values were discarded. Similarly, the ICC mean value for 23 continuous items was 0.98 ± 0.06 and 2 unreliable items were discarded. For the test-retest validity, the mean agreement rate (SD) for all 293 items was 0.96 ± 0.12 and 26 invalid items were discarded. In total, 34 survey items were excluded from analyses.


Table 2 describes key survey responses by conceptual domain and hospital type. The context of services varied across hospital types, with community hospitals more likely to have for-profit ownership, be in a rural or isolated location, and have fewer annual deliveries per hospital.



Table 2

Survey results by domain, stratified by hospital type (n = 239) a






































































































































































































































































































































Domain Total (n = 239) Community (n = 187) Teaching (n = 27) IDS (n = 25) P Value
Hospital structure/context
Ownership status < .001
State or local government 44 (18.4%) 29 (15.5%) 15 (55.6%) 0 (0%)
Nonprofit, church operated 31 (13.0%) 29 (15.5%) 2 (7.4%) 0 (0%)
Nonprofit other 125 (52.3%) 91 (48.7%) 9 (33.3%) 25 (100%)
For profit 39 (16.3%) 38 (20.3%) 1 (3.7%) 0 (0%)
Rural or isolated status 22 (9.2%) 22 (11.8%) 0 (0%) 0 (0%) .034
Total deliveries per year 2002 ± 1534
1700 (67-8900)
1805 ± 1507
1400 (67-8900)
2959 ± 1684
2700 (650-7000)
2442 ± 1064
2200 (1000-4900)
< .001
Hospital staffing
24 hour physician coverage in-house for at least some patients 92/239 (38.5%) 40/187 (21.4%) 27/27 (100%) 25/25 (100%) < .001
Physician coverage (obstetrician/family practitioner) < .001
24/7 MD in-house coverage for all patients 47 (19.7%) 9/187 (4.8%) 13/27 (48.1%) 25/25 (100%)
24/7 MD coverage but not in-house 144 (60.3%) 143/187 (76.5%) 1/27 (3.7%) 0/25 (0%)
Blend of in-hospital and out-of-hospital coverage 48 (20.1%) 35/187 (18.7%) 13/27 (48.1%) 0/25 (0%)
Family practice MD provided maternal care 55/239 (23.0%) 38/187 (20.3%) 12/27 (44.4%) 5/25 (20.0%) .019
Midwives on staff 88/239 (36.8%) 50/187 (26.7%) 16/27 (59.3%) 22/25 (88.0%) < .001
Maternal-fetal medicine physicians available 220/239 (92.1%) 168/187 (89.8%) 27/27 (100%) 25/25 (100%) .051
Maternal-fetal medicine physicians available 24 hours 198/212 (93.4%) 147/161 (91.3%) 26/26 (100%) 25/25 (100%) .093
Pediatric care available day and night 133/234 (56.8%) 99/185 (53.5%) 19/25 (76.0%) 15/24 (62.5%) .087
24 hour availability of neonatologist 210/234 (89.7%) 159/182 (87.4%) 27/27 (100%) 24/25 (96.0%) .072
Anesthesia staff available 24 hours in-house 146/239 (61.1%) 94/187 (50.3%) 27/27 (100%) 25/25 (100%) < .001
Dedicated obstetrics anesthesia service 141/205 (68.8%) 105/156 (67.3%) 17/26 (65.4%) 19/23 (82.6%) .310
Hospital clinical resources
Nursery with 24 hour resuscitation/stabilization 239/239 (100%) 187/187 (100%) 27/27 (100%) 25/25 (100%) Not estimable
Radiology ultrasound available within 12 hours 199/200 (99.5%) 154/155 (99.4%) 22/22 (100%) 23/23 (100%) .864
24 hour radiology services available 193/220 (87.7%) 149/174 (85.6%) 24/24 (100%) 20/22 (90.9%) .118
24 hour adult critical care unit 230/239 (96.2%) 179/187 (95.7%) 26/27 (96.3%) 25/25 (100%) .573
Invasive cardiac monitoring on labor and delivery unit 100/233 (42.9%) 70/182 (38.5%) 19/26 (73.1%) 11/25 (44.0%) .004
Subspecialty intensive care unit (ICU) 93/239 (38.9%) 62/187 (33.2%) 22/27 (81.5%) 9/25 (36.0%) < .001
Neonatal ICU level b < .001
No neonatal ICU (basic services only) 87 (36.4%) 83 (44.4%) 1 (3.7%) 3 (12.0%)
Intermediate 53 (22.2%) 42 (22.5%) 2 (7.4%) 9 (36.0%)
Community 83 (34.7%) 60 (32.1%) 12 (44.4%) 11 (44.0%)
Regional 16 (6.7%) 2 (0.5%) 12 (44.4%) 2 (8.0%)
Blood bank available 24 hours 216/239 (90.4%) 165/187 (88.2%) 27/27 (100%) 24/25 (96.0%) .092
Hospital patient care activities
Labor and delivery unit emergency response team 110/239 (46.0%) 68/187 (36.4%) 20/27 (74.1%) 22/25 (88.0%) < .001
Anesthesia available within 30 minutes 235/239 (98.3%) 183/187 (97.9%) 27/27 (100%) 25/25 (100%) .568
Emergency cesarean delivery can be done within 30 minutes < .001
100% of the time 152 (63.9%) 105/187 (56.2%) 22/26 (84.6%) 25/25 (100%)
75–99% of the time 79 (33.2%) 75/187 (40.1%) 4/26 (15.4%) 0/25 (0%)
≤ 74% of the time 7 (2.9%) 7/187 (3.7%) 0/26 (0%) 0/25 (0%)
Time to emergent cesarean (minutes) c N = 238
19.0 ± 8.8
17.0 (4.0-45.0)
N = 186
21.2 ± 8.4
20.0 (5.0-45.0)
N = 27
11.8 ± 6.4
10.0 (4.0-30.0)
N = 25
10.6 ± 3.2
10.0 (5.0-20.0)
< .001
Trial of labor after cesarean delivery allowed 146/239 (61.1%) 95/187 (50.8%) 26/27 (96.3%) 25/25 (100%) < .001
Transport agreements with other hospitals 183/229 (79.9%) 141/179 (78.8%) 18/26 (69.2%) 24/24 (100%) .0181

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May 5, 2017 | Posted by in GYNECOLOGY | Comments Off on Variation in childbirth services in California: a cross-sectional survey of childbirth hospitals

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