- Research article
- Open Access
- Open Peer Review
Trends in prenatal cares settings: association with medical liability
© Coco et al; licensee BioMed Central Ltd. 2009
- Received: 16 December 2008
- Accepted: 22 July 2009
- Published: 22 July 2009
Medical liability concerns centered around maternity care have widespread public health implications, as restrictions in physician scope of practice may threaten quality of and access to care in the current climate. The purpose of this study was to examine national trends in prenatal care settings based on medical liability climate.
Analysis of prenatal visits in the National Ambulatory Medical Care Survey and National Hospital Ambulatory Medical Care Survey, 1997 to 2004 (N = 21,454). To assess changes in rates of prenatal visits over time, we used the linear trend test. Multivariate logistic regression modeling was developed to determine characteristics associated with visits made to hospital outpatient departments.
In regions of the country with high medical liability (N = 11,673), the relative number, or proportion, of all prenatal visits occurring in hospital outpatient departments increased from 11.8% in 1997–1998 to 19.4% in 2003–2004 (p < .001 for trend); the trend for complicated obstetrical visits (N = 3,275) was more pronounced, where the proportion of prenatal visits occurring in hospital outpatient departments almost doubled from 22.7% in 1997–1998 to 41.6% in 2003–2004 (p = .004 for trend). This increase did not occur in regions of the country with low medical liability (N = 9,781) where the proportion of visits occurring in hospital outpatient departments decreased from 13.3% in 1997–1998 to 9.0% in 2003–2004.
There has been a shift in prenatal care from obstetrician's offices to safety net settings in regions of the country with high medical liability. These findings provide strong indirect evidence that the medical liability crisis is affecting patterns of obstetric practice and ultimately patient access to care.
- Prenatal Care
- Community Health Center
- Prenatal Visit
- National Ambulatory Medical Care Survey
- Medical Liability
Medical liability reform remains a high priority issue that continues to receive attention from prominent national organizations, such as the American College of Obstetricians and Gynecologists (ACOG) and the American Medical Association (AMA).[1, 2] Medical liability concerns around maternity care have widespread public health implications as restrictions in physician scope of practice may threaten quality of care in the current climate. For example, there is information to show that physician behavior, specifically related to the scope of maternity care, has been altered in areas of high medical liability. A recent survey of high-risk specialist physicians in Pennsylvania showed that 25% of obstetrician/gynecologists often avoided caring for high-risk patients.
Restrictions in scope of practice could lead to a concentration of high-risk patients in safety net settings such as hospital outpatient departments; many of which are already working at full capacity. Previous analysis has shown that visits to hospital outpatient departments are made by sicker patients with less continuity, compared to physicians' offices and community health centers. This combination of excess volume and less continuity in already over taxed hospital systems, particularly among a high-risk patient population, has serious national implications for patient safety and healthcare access issues.
Few studies have quantified the impact of the current malpractice situation on the settings in which prenatal care is delivered at a national level. The purpose of this study is to examine national trends in the settings in which prenatal care occurs based on medical liability climate. Specifically, the aim is to investigate for shifts in the provision of care, including of high-risk patients, from physician's offices to hospital outpatient departments stratified by regions of medical liability. We analyzed data from the National Ambulatory Medical Care Survey (NAMCS) and the National Hospital Ambulatory Medical Care Survey (NHAMCS) from 1997 to 2004.
The NAMCS and the NHAMCS are administered by the National Center for Health Statistics (NCHS) for the Centers for Disease Control and Prevention (CDC). [6, 7] The surveys are designed to meet the need for objective, reliable information about the provision and use of ambulatory medical care services in the United States. The NAMCS collects information on patient visits to office-based physician practices in the United States, including federally qualified health centers and non-federal government clinics. The NHAMCS collects information on patient visits to non-federal hospital outpatient departments and hospital emergency departments separately. The hospital emergency department data was not utilized in this study. Both surveys incorporate multistage probability designs. NAMCS has a three-tiered design based on geographic location, physician specialty and individual visits within the practice. The NCHS weighs each visit by taking into account practice location and physician specialty. The NHAMCS has a four-tiered sampling design based on geographic area, hospitals within the area, outpatient departments within hospitals, and patient visits. The panel of hospitals for NHAMCS is rotated so that a given hospital is included every 15 months.
Physicians (NAMCS only) are randomly selected from the master files of the American Medical Association and the American Osteopathic Association. Each physician is randomly assigned to a one-week reporting period. During this period, data for a systematic random sample of visits are recorded by the physician or office staff on a standardized encounter form provided for that purpose and checked for completeness by NCHS field staff. Hospitals (NHAMCS only) were sampled for the 2004 NHAMCS from a hospital databases called "Healthcare Market Index" and "Hospital Market Profiling Solution." Hospitals with an average length of stay for all patients of less than 30 days or hospitals whose specialty was general adult or children's general were eligible. Data was collected by hospital staff in the same manner as the NAMCS procedure.
Clinical and demographic data, including insurance status, race, and ethnicity were collected for each visit. Categories of race include White, African American/Black, and Asian/Other; while categories for ethnicity include Latino/Hispanic or Not Latino/Hispanic. All patient demographic information is de-identified to prevent linkage with individual patients. The NCHS institutional review board approved the protocols for the NAMCS and NHAMCS, including a waiver of the requirement for informed consent. Provider and hospital variables include self-selected specialty (NAMCS only), clinic type (NHAMCS only), whether seen by a midlevel provider (nurse practitioner, midwife, or physician assistant), whether seen by a resident physician (NHAMCS only), and geographic region. Clinical variables included the primary diagnosis coded according to the International Classification of Diseases (ICD-9-CM).
The surveys collected 451,710 patient records between 1997 and 2004. The participation rate of contacted physician practices in the NAMCS ranged from 63% in 1999 to 70% in 2002. The participation rate of contacted hospitals in the NHAMCS ranged from 91% in 2004 to 98% in 1998. Quality control was performed using a 2-way independent verification procedure for 10% of the sample records. In 2004, coding errors for various items ranged from 0% to 0.9% in the NAMCS and from 0.1% to 1.5% in the NHAMCS.
The NAMCS and NHAMCS surveys incorporate a multistage probability design to generate a population-based sample, accounting for practice location, outpatient departments within hospitals, physician specialty, and patient visits. The sampling technique and probability design utilized by the National Center for Health Statistics (NCHS) allows extrapolation to national estimates for all aspects of the survey, making our study findings representative of the nation as a whole. The NCHS weights each visit to allow extrapolation to national estimates for all aspects of the surveys. National estimates are considered reliable with a standard error of 30% or less; which generally corresponds to a sample of at least 30 patient visits.
To examine trends in the rates of all national prenatal visits, we examined all office and hospital outpatient visits with the primary diagnoses of normal pregnancy (ICD-9-CM code V22), supervision of high risk pregnancy (ICD-9-CM code V23), or obstetrical complications (ICD-9-CM codes of 640–673). In our categorization of prenatal visits we were aware that these 3-digit ICD-9-CM codes could include diagnoses related to labor, postpartum, or some unspecified aspect of care. Consequently we included only visits in which the fifth digit of the 5-digit ICD-9-CM code was 3, the coded indicator for an antepartum condition or complication. There were 21,454 sample records that met all inclusion and exclusion criteria during the eight year study period. A variable was created to designate complicated prenatal visits by excluding those visits with the diagnosis of normal pregnancy (ICD-9-CM code V22). A total of 5,779 sample records met this criterion.
We included visits made to obstetricians' offices. The National Hospital Ambulatory Medical Care Survey does not include data on visits made to family medicine outpatient departments (rather only general medical clinics where it is unclear the specialty of the provider). Therefore, we only included visits occurring in obstetricians' offices, in order to allow for equitable comparisons and trend analyses in the study.
Percentage of live births in malpractice crisis states in high and low medical liability regions in 2004
High Medical Liability Region
Low Medical Liability Region
District of Columbia
Total crisis state live births
Total crisis state live births
Total non-crisis state live births
Total non-crisis state live births
% of live births in crisis states (1,814,089/2,204,736)
% of live births in crisis states (635,788/1,907,316)
We calculated standard errors (SEs) for all results as recommended by the NCHS using STATA software, which accounts for the complex sampling design of the NAMCS/NHAMCS. STATA was programmed with the masked survey design variables as recommended by the Ambulatory Statistics Branch of the National Center for Health Statistics. We evaluated categorical variables with the χ2 test. To assess changes in rates of prenatal visits over time, we used the linear trend test. In order to decrease annual variation in visit estimates we combined two successive years of data, as recommended by NCHS, for a total of four two-year periods (1997–1998, 1999–2000, 2001–2002, 2003–2004) for the trend analyses. All statistical trend tests take into account data from all 8 years from 1997 through 2004.
We developed a multivariable logistic regression model adjusting for patient demographic, insurance, continuity, provider, and setting and diagnosis information that included all prenatal visits and had hospital outpatient department as the dependent variable (n = 21,454). This model reflects our hypothesis that prenatal visits in hospital outpatient departments occurred with patients who were minority, more complicated, less established in care and with less insurance. We used the computer program STATA® Intercooled, version 9.0 to analyze all data. All P values are 2-tailed; P<.05 was considered significant.
The 21,454 study visits represented an estimated 211 million (95% confidence interval [CI], 191–231 million) prenatal visits for an annual of average of 26 million visits. Overall 13.8% (95% CI, 12.1% – 15.6%) of prenatal visits occurred in hospital outpatient departments and 86.2% of visits took place in obstetrician's offices. In the country as a whole, these proportions did not change over time; hospital outpatient department visits ranged from 12.4% in 1997–1998 to 15.5% in 1999–2000 to 13.7% in 2003–2004 (P = .72 for trend). Prenatal visits to FQHCs and non-federal government clinics accounted for 3.6% of all visits to physicians' offices, ranging from 5.2% in 1997–1998 to 3.8% in 2003–2004. However, the sample of visits in 2001–2002 was too small to allow for a trend analysis.
The proportion of all ambulatory visits (n = 451,013), not just prenatal visits, that occurred in hospital outpatient departments was analyzed as a means of assessing regional changes in the capacity of this component of the safety net setting. The proportion remained stable over the study period in the both regions varying from 9.5% in 1997–1998 to 10.7% in 1999–2000 to 9.1% in 2001–2002 to 9.4% in 2003–2004 in the high medical liability region and from 7.5% in 1997–1998 to 8.4% in 2003–2004 in the low liability region.
Prenatal visit characteristics of hospital outpatient departments and obstetrician's offices, 1997–2004 (n = 21,454)
Proportion of visits in
Hospital outpatient departments, %
Proportion of visits in
Obstetrician's offices, %
Adjusted* OR with (95% CI)
.91 (.76 – 1.10)
.89 (.73 – 1.07)
1.76 (1.28 – 2.42)
2.87 (2.04 – 4.05)
Asian and other
1.67 (1.07 – 2.61)
6.06 (4.40 – 8.34)
11.08 (6.74 – 18.22)
4.97 (3.20 – 7.73)
1.69 (1.21 – 2.37)
1.86 (1.36 – 2.55)
This study used two nationally representative surveys to characterize and contrast prenatal visits made to hospital outpatient departments and physician offices in areas of varying medical liability. The high medical liability region, represented by 25 states and the District of Columbia in the Northeast and South, experienced a significant migration of patients from physicians' offices to hospital outpatient departments, a traditional safety net delivery site. If the trend continues an annual estimate of 1.36 million visits would shift from these settings. Among complicated prenatal visits this trend was even more striking. The results of our analysis provide strong indirect evidence that the medical liability crisis is affecting patterns of obstetric practice and ultimately patient access to care.
Our analysis has several limitations that should be considered when interpreting the data on prenatal visits. First, due to limitations in the data, we were unable to perform a direct comparison of prenatal visit rates between states with and without an adverse malpractice climate. Instead, states within one of four geographical regions were combined into one of two national regions based on the percentage of births that occurred in an adverse malpractice climate. Over 82% of the births in the high medical liability region occurred in states considered to be in medical malpractice "crisis" by ACOG or the AMA compared with 33% in the low medical liability region. However, the effect of this crossover, if any, would be to bias the results against the trends we have shown. That is, a direct comparison of states with and without an adverse medical malpractice climate might have shown more pronounced trends in prenatal visit rates than was determined in our study.
Second, prenatal visits made to community health centers, which are considered to be a major component of the US safety net, were too small to allow for trend analysis in these databases. Forrest and Whelan demonstrated that in 1994 "obstetric services for pregnant women comprised 5.8% of primary care visits made to community health centers", totaling approximately 757 visits, compared to 26,067 visits made to physician offices and 2,587 to hospital outpatient departments. Exclusion of these visits to community health centers likely represents a relatively small proportion of the total national visits, especially given the stable proportions of prenatal visits seen in both obstetrician's offices and hospital outpatient departments over the 8 year period in this study. Moreover, exclusion of community health center visits does not detract from the trend seen in hospital outpatient departments located in high medical liability regions, but may actually represent a potentially larger safety net population affected by changes in physician practice.
Additionally, we lacked direct data on the capacity of hospital outpatient departments between 1997 and 2004, which may have accounted for the increased proportion of visits in the high medical liability region. We therefore analyzed all ambulatory visits made to hospital outpatient departments as a proxy for differences in the capacity of the safety net setting among medical liability regions. Our analysis confirmed that the increased prenatal visits were not secondary to an increased number of hospital departments but more so a result of physicians restricting scope of practice when concerned about medical liability.
Finally, there were other variables for which our multivariate logistic regression model was unable to control that might impact our study findings. In some regions, particularly in high medical liability regions where the cost of medical liability insurance may be prohibitive, obstetrical providers might be driven to sell their practices to hospitals and therefore become employees of the hospital department. Changes in the workforce, such as increased women entering obstetrics, and preferences for the balance between lifestyle and work may also influence some providers to move towards working for hospital outpatient departments rather than dealing with some of the pressures associated with private practice. In summary, there may be other factors impacting the described shift to hospital outpatient departments for which our study was not able to account.
While studies validate that there are concerns over the ability of the safety net to provide adequate access to care to a population that likely includes sicker, higher risk patients, it is true that maternal-fetal medicine specialists, as well as experienced obstetricians involved with teaching programs for example, tend to be hospital based providers. Unfortunately, the database is unable to resolve this issue, as only a small proportion of visits within hospital outpatient departments were categorized as visits made to maternal-fetal medicine specialists. Although these visits may represent improved care being delivered to this subset of patients, it is unlikely that the entire increasing trend represents a shift of patients fully being seen by maternal-fetal medicine. In addition, we would still expect that many of the conditions documented in previous studies (poor access, limited funding, insurance coverage, patient population with more complex social-medical issues) are associated with this increased shift of visits to hospital outpatient departments. Lastly, as mentioned above, there was an equal proportion of complicated obstetrical visits in low and high medical liability regions (16% vs 16%, p = 0.99). Therefore, one would expect the shift of visits being made to maternal-fetal medicine specialists to be equally distributed between low and high medical liability regions.
Prenatal visit characteristics of hospital outpatient departments and obstetrician's offices: comparison of low and high medical liability regions (n = 21,454)
Low Medical liability region, % of visits
High Medical liability region, % of visits
Asian and other
Despite these limitations, there were strong trends in prenatal care shifting to the hospital outpatient department from physicians' offices in the high medical liability region. Over the study period, the proportion of prenatal visits made to hospital outpatient departments increased significantly from 1 in 8 (12%) in 1997–1998 to almost 1 in 5 (19%) in 2003–2004. The reverse shift occurred in the low medical liability region, and once again supports our findings that in areas where medical liability is of concern, prenatal care is being made less available in physicians' offices and consequently being shifted to safety net settings. Hospital outpatient visits were more likely to be associated with no insurance, Medicaid insurance, obstetrical complications, non-established patients, non-white race, and Latino ethnicity.
Within the high medical liability region, the shift of visits from obstetrician's offices to hospital outpatient departments occurred at an even more striking rate for prenatal visits with obstetrical complications. The concurrent shift in routine prenatal visits, combined with the opposite trend in the low liability region, argues against the shift for complicated patients resulting from referrals for specialty care only available in hospital outpatient departments. Rather, this consistent shift of care to safety net settings, particularly among visits with a medically complicated diagnosis, is worrisome for a system already strained by financial, economic, and provider considerations. If the described trends in prenatal care continue, patients in the high medical liability half of the country will undoubtedly experience increased difficulty with access to and use of prenatal care. This is of particular concern for patients with complex, high-risk diagnoses during pregnancy who likely require increased surveillance, monitoring, and access to their physicians during pregnancy.
In low medical liability regions, the assumption from our findings is that in regions of low risk medical liability, obstetricians felt more comfortable continuing to provide care to patients. This study is based on the cross-sectional designation of medical liability by the ACOG and AMA in 2004. Therefore we do not have available data on the possible medical liability climate prior to the 10-year period in this analysis. One hypothesis for the trend out of hospital outpatient departments into physicians' offices in low medical liability regions might be that if these regions had experienced an improvement in medical liability practice climate compared to 1995 (for example), then one might see a shift from hospital outpatient departments into physicians' offices as seen in our study. The current study does not have available data on the medical liability climate prior to 2004 but this may be a point of interest for future analyses.
The findings from this study have widespread public health and policy implications. The reallocation of patients, particularly complicated patients, to hospital outpatient departments is evidence of the increasing burden being placed on our nation's health care safety net. Lurie comments that "the safety net ideally should go beyond simply providing access to provide high-quality care to those it serves" and highlights the concerns over the ability of the safety net to meet the increasing demands of providing access to care and remain a viable entity. In 2000, the Institute of Medicine identified three obstacles that providers within the safety net face: 1) the expanding numbers of uninsured persons; 2) the threat to the traditional sources of funding; and 3) the shift to Medicaid managed care.[12, 13] Previous analysis has shown that visits to hospital outpatient departments are made by sicker patients with less continuity compared to physician's offices and community health centers. Additionally, care at these sites is more likely to be provided by the practitioners less likely to be trained or experienced with high-risk patients, such as mid-levels or resident physicians. Our analysis validates these concerns and demonstrates the increasing burden being placed on the safety net system, where the quality of care may be diminished due to over taxed institutions, less experienced providers, and most importantly a concentration of patients with more complex medical and social issues.
The AMA and ACOG both contend that the current medical liability climate is forcing physicians to restrict their practice and therefore limiting patients' access to care. Our study findings provide national data to substantiate this belief. The high medical liability region, represented by 25 states and the District of Columbia in the Northeast and South, experienced a significant migration of patients from physicians' offices to hospital outpatient departments, a traditional safety net delivery site. Among complicated prenatal visits this trend was even more striking, providing strong indirect evidence that the medical liability crisis is affecting patterns of obstetric practice. Liability reform efforts must work to inform policy changes and tort reform that will help to reverse physicians' decisions to limit scope of practice or entry into the specialty, and ultimately improve patients' access to prenatal and obstetric care.
- The American College of Obstetricians and Gynecologists: ACOG's: Red Alert: states–America's medical liability "crisis". [http://www.acog.org/from_home/publications/press_releases/nr07-16-04.cfm]
- American Medical Association: America's medical liability "crisis states". [http://www.ama-assn.org/ama/home/index.shtml]
- Studdert DM, Mello MM, Sage W, DesRoches CM, Peugh J, Zapert K, Brennan TA: Defensive medicine among high-risk specialist physicians in a volatile malpractice environment. JAMA. 2005, 293: 2609-2617. 10.1001/jama.293.21.2609.View ArticlePubMedGoogle Scholar
- Maternity Care Coalition: Childbirth at a Crossroads: Stakeholders Speak: presentation by Paula Bussard. Accessibility verified May 23, 2006, [http://www.momobile.org/events/session1summary.html]
- Forrest CB, Whelan E: Primary care safety-net delivery sites in the United States: a comparison of community health centers, hospital outpatient department, and physician's offices. JAMA. 2000, 284: 2077-2083. 10.1001/jama.284.16.2077.View ArticlePubMedGoogle Scholar
- Hing E, Cherry DK, Woodwell DA: National Ambulatory Medical Care Survey: 2004 summary: advance data from Vital and Health Statistics: No. 374. 2006, Hyattsville, Md: National Center for Health StatisticsGoogle Scholar
- Middleton K, Hing E: National Hospital Ambulatory Medical Care Survey: 2004 Outpatient Department Summary: Advance data from Vital and Health Statistics: No. 373. 2006, Hyattsville, Md: National Center for Health StatisticsGoogle Scholar
- National Center for Health Statistics: Public Use Microdata File Documentation, National Hospital Ambulatory Medical Care Survey, 2004. 2006, Hyattsville, Md: National Technical Information ServiceGoogle Scholar
- International Classification of Disease, Ninth Revision. Clinical Modification. [http://www.cdc.gov/nchs/icd9.htm]
- Hamilton BE, Ventura SJ, Martin JA, Sutton PD: Births: preliminary data for 2004. National Vital Statistics Reports. 2006, 55-Google Scholar
- Hing E, Gousen S, Shimizu I, Burt C: Guide to using masked design variables to estimate standard errors in public use files of the National Ambulatory Medical Care Survey and the National Hospital Ambulatory Medical Care Survey. Inquiry Winter. 2003, 40 (4): 416-415.Google Scholar
- Lurie N: Strengthening the US health care safety net. JAMA. 2000, 284: 2112-2113. 10.1001/jama.284.16.2112.View ArticlePubMedGoogle Scholar
- Lewin ME, Altman S, eds: America's health care safety net, intact but endangered. 2000, Washington, DC National Academy PressGoogle Scholar
- The pre-publication history for this paper can be accessed here:http://www.biomedcentral.com/1471-2458/9/257/prepub
This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.