

* Department of Pediatrics
Center for the Evaluative Clinical Sciences and Department of Community and Family Medicine, Dartmouth Medical School, Hanover, New Hampshire
| ABSTRACT |
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Objective. To characterize systems of reproductive care for the United States, Australia, Canada, and the United Kingdom, including a detailed analysis of neonatal intensive care and mortality.
Design/Methods. Comparison of selected indicators of reproductive care and mortality from 19932000 through a systematic review of journal and government publications and structured interviews of leaders in perinatal and neonatal care.
Results. Compared with the other 3 countries, the United States has more neonatal intensive care resources yet provides proportionately less support for preconception and prenatal care. Unlike the United States, the other countries provided free family planning services and prenatal and perinatal physician care, and the United Kingdom and Australia paid for all contraception. The United States has high neonatal intensive care capacity, with 6.1 neonatologists per 10 000 live births; Australia, 3.7; Canada, 3.3; and the United Kingdom, 2.7. For intensive care beds, the United States has 3.3 per 10 000 live births; Australia and Canada, 2.6; and the United Kingdom, 0.67. Greater neonatal intensive care resources were not consistently associated with lower birth weight-specific mortality. The relative risk (United States as reference) of neonatal mortality for infants <1000 g was 0.84 for Australia, 1.12 for Canada, and 0.99 for the United Kingdom; for 1000 to 2499 g infants, the relative risk was 0.97 for Australia, 1.26 for Canada, and 0.95 for the United Kingdom. As reported elsewhere, low birth weight rates were notably higher in the United States, partially explaining the high crude mortality rates.
Conclusions. The United States has significantly greater neonatal intensive care resources per capita, compared with 3 other developed countries, without having consistently better birth weight-specific mortality. Despite low birth weight rates that exceed other countries, the United States has proportionately more providers per low birth weight infant, but offers less extensive preconception and prenatal services. This study questions the effectiveness of the current distribution of US reproductive care resources and its emphasis on neonatal intensive care.
Key Words: neonatal intensive care infant mortality health policy international comparisons
Abbreviations: IMR, infant mortality rate NMR, neonatal mortality rate RR, relative risk CI, confidence interval
| INTRODUCTION |
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Despite these encouraging secular trends, infant mortality and low birth weight rates in the United States have remained consistently higher than those of similarly developed nations, such as Australia, Canada, and the United Kingdom.2 The relatively poor overall US birth outcomes exist in a setting of comparatively greater financing of health care,1 a highly specialized neonatal workforce, and a growing number of neonatal intensive care units.3 Given these unrivaled resources, why are the outcomes of the US birth cohort inferior?
Comparing the US system of reproductive care with the United Kingdom, Canada, and Australia may offer insights into how health care structure affects mortality. Each of these countries has a distinct workforce, hospital capacity, system of health finance, and organization of medical care that affects reproductive care and, presumably, birth outcomes. Previous reports of national differences in the distribution of resources within reproductive care have been limited in scope and have failed to examine mortality within the context of reproductive health care.47 In this study, we analyze these 4 countries reproductive health care through a systematic comparison of their infrastructures and newborn mortality. Although neonatal care is indisputably vital to some infants survival, perhaps there is a threshold where additional neonatal resources yield little measurable benefit.810
| METHODS |
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Next, we identified organizations active in perinatal health within each country. We searched the World Wide Web using the key words listed above to locate government offices, professional academic units, and individuals dedicated to perinatal research and policy. Each country has a central department committed to perinatal or maternal and child health with readily available vital statistics and government reports, although some data were available only on a provincial or statewide basis. Academic units and private organizations also provided important information and databases.
In the third and final stage, we performed on-site, telephone, and e-mail interviews of perinatal health experts to gain access to unpublished data, reports, and raw data of published studies. We identified over 75 Web sites dedicated to perinatology and e-mailed over 200 individuals. In total, we contacted 8 centers each in Australia, the United Kingdom, and the United States, and 10 in Canada, and we conducted interviews with leaders in perinatology in each country. The 3 phases of our approach were repeated until considerable overlaps existed between these search techniques, indicating that we searched to the point of redundancy. Written permission was obtained for all personal communications and unpublished data.
Assessment of Endpoints
Reproductive Care Characteristics
Using the following criteria, we developed a list of key indicators with which to compare each countrys reproductive health care system. From evidence in the literature or by professional consensus, each indicator is thought to affect the availability and processes of care as well as perinatal outcomes. Furthermore, the data supporting the indicator must be available for most of the 4 countries, in identical or consecutive years. Some indicators had different but comparable statistics, such as neonatal intensive care bed capacity, as Canada and Australia provided data inclusive of both intensive and intermediate care beds, whereas the United Kingdom only had data on intensive care beds. Some desirable indicators were subsequently excluded, such as the percent of the health care budget spent on perinatal care, because comparable data were unavailable. Finally, indicators of practice patterns across the 4 countries had to measurably differ for inclusion. Innovations such as use of surfactant, for example, were excluded because they were adopted almost simultaneously across these countries so that there was no obvious time when the practice patterns were different. These responses were tabulated, summarized, and sent back to the experts within each country for accuracy.
Mortality Outcomes
We chose infant and neonatal mortality rates and percentages of low birth weight as our outcome measures. The infant mortality rate, defined as the number of deaths in the first year of life per 1000 live births, is extensively used in all countries to characterize reproductive outcomes and the status of maternal and child health.11 Crude rates are readily available from all the study countries, with close to 100% of the birth cohorts registered. However, the infant mortality rate lacks specificity because it combines outcomes of initial neonatal care with those of postneonatal events, like injuries, sudden infant death syndrome, and infections. The neonatal mortality rate, defined as the number of deaths within 28 days per 1000 live births, more closely reflects the pathophysiologic processes of the perinatal period and the outcomes of neonatal care. Collectively, these statistics characterize the mortality of a national birth cohort.
Birth weight is another readily accessible statistic because it is reliably recorded on birth certificates. In addition to being an excellent prognostic indicator for the infant, birth weight also reflects prenatal health. Maternal risk factors important to infant outcomes (like race, age, education, and income) affect newborn mortality primarily through their effects on birth weight. Low birth weight is defined as any birth <2500 g and is used as a proxy for gestational age. In this study, we calculated birth weight-specific mortality rates for infant and neonatal mortality. Death rates within specific birth weight categories were divided by its cohort of live births.
Unlike crude rates, birth weight specific mortality data were not nationally available for all countries in concurrent years. Specifically, Canadian infant and neonatal morality statistics, dated from 1996, exclude Ontario, where approximately 62% of all Canadian deliveries occur. As a point of comparison, the 1996 infant mortality rate for Ontario was 5.7 per 1000 live births, which is similar to Canada as a whole, at 5.6. Australian data were nationally available for neonatal mortality, but birth weight-specific infant mortality data are only tabulated for the State of Victoria. Victoria, whose largest city is Melbourne, has 24% of all Australian deliveries and has slightly better infant mortality statistics than the rest of Australia. Specifically, 1998 data show that Australia as a whole had a crude infant mortality of 5.0 per 1000 live births, whereas Victoria had 4.7. Data for the United Kingdom was limited to England and Wales.
Linkage of birth records to death records is not standard in all countries. Unlinked data for the US cohort was 1.6% of all births, 3% for Canada, 0.02% for Australia, and 0.13% for England and Wales.
Definitions
Definitions of newborn mortality and low birth weight are uniform among Australia, Canada, the United Kingdom, and the United States. As defined by the World Health Organization, a live birth is defined in each of these countries as the "complete expulsion or extraction from mother of a production of conception, irrespective of duration of pregnancy, which after such separation, breathes or shows any other evidence of life."12
This definition purposefully avoids any gestational age or birth weight exclusionary criteria. The United Kingdom, Canada, and United States data generally adhere to this definition. However, all data obtained from Australia exclude newborns weighing <400 g.
Statistical Analysis
Statistical analysis was performed using
2 technique, using Stata 6.0 (College Station, TX). We accept a level of significance of P < .05.
| RESULTS |
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Mortality Outcomes
No country has consistently better mortality outcomes (Tables 5 and 6). As reported elsewhere,2 crude infant and neonatal mortality rates rank the United States behind the other 3 countries (US infant mortality rate [IMR] is 7.1 deaths per 1000 live births, compared with 4.35.5; US neonatal mortality rate [NMR] is 4.7 compared with 3.03.8).24,26,3941 Stratifying these rates into birth weight specific categories significantly narrows these observed differences.
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NMR measures outcomes during the period where neonatal intensive care is most influential. Like the IMR data, (Table 6) no country can claim better survival.24,26,39,40 With the United States as the reference, (relative risk [RR]: 1), Australia has significantly better outcomes for infants born <1000 g, (RR: 0.84; 95% confidence interval [CI]: 0.750.94). In contrast, the Canadian infants seem to have a relative disadvantage for infants born between 1000 and 2499 g, (RR: 1.26; 95% CI: 1.101.45) and those infants born in England and Wales above 2500 g likewise have higher mortality (RR: 1.15; 95% CI: 1.071.24). Although the non-US countries administer neonatal care with fewer available physicians and neonatal hospital beds, their infants do not suffer greater mortality.
Comment
This report examines both reproductive care and mortality across 4 developed countries and finds that the United States commits greater resources to neonatal intensive care, although its infants do not have proportionately better survival. The other 3 countries health care systems, in contrast, place more emphasis on preconception and prenatal care. These findings suggest that additional expansion of neonatal intensive capacity would not result in proportionate benefit in mortality. Our data support this view for the following reasons: First, birth weight, a reflection of socioeconomic context and the quality of medical care before birth, is an important predictor of mortality that is not influenced by postnatal medical interventions including neonatal intensive care.6,42,43 Second, even for low birth weight infants, it does not seem that higher US neonatal care capacity is associated with improved survival.44 Finally, there are unmet needs in other areas of preconception and prenatal care that may affect birth weight and, in turn, neonatal mortality.43,45
Previous studies comparing international differences in newborn care have primarily examined regionalization of neonatal intensive care.46,47 All 4 countries in this study endorse this practice, with varying scales of implementation and regulation. However, the impact of regionalization is not easily measured or compared across different systems.7,48 Furthermore, each countrys regionalized structure continues to evolve, often without evidence of improved outcomes.4953 In the United States, the policy of regionalization is often overshadowed by hospital competition for neonatal intensive care unit and obstetric services. This study, instead, examines where resources are concentrated in the health care system, with attention to antenatal and postnatal care. Although we are unable to identify which components of a countrys system has the greatest influence, our data show that the relative emphasis toward neonatal intensive care resources in the United States is not associated with better birth weight-specific survival.
It could be argued that neonatal health care capacity in the United States is not excessive, but geographically maldistributed with regions of higher newborn risk lacking sufficient intensive care resources to optimize outcomes. Although a recent study reveals greater than fourfold regional variation in neonatal intensive capacity, greater resources are not located in areas with higher neonatal illness rates.37 Related analyses showed that the areas with "very low" compared with "low" neonatal intensive care capacity have worse risk-adjusted neonatal mortality rate but that mortality rates did not improve further even with "very high" capacity.44 These results suggest that a few regions in the United States may have inadequate access to neonatal intensive care, but that most regions already have adequate resources. The sufficiency of supply is further supported by the finding that up to 60% of US neonatologists care for normal newborns, indicating that neonatologists are currently not overburdened with high-risk infants.54 These reports, coupled with the findings of this study, shed doubt on the need for continued expansion in neonatal intensive care capacity.
Several limitations of this study should be noted. First, there are factors that contribute to infant survival that are not reliably measured in some or all of the countries we studied. For example, race is an important determinant of infant outcome, with very low birth weight black infants experiencing lower mortality in comparison to white infants, and conversely higher mortality at higher birth weights.55,56 Adjusting for these racial differences in our international comparisons, however, does not alter the conclusion that none of the countries has consistently better birth weight-specific outcomes. Other factors affect neonatal survival by primarily influencing the incidence of low birth weight. These include individual characteristics such as ethnicity, gestational age, intrauterine growth retardation, maternal smoking, and education.5658 Only in the United States are these data routinely linked to infant mortality and, even in the United States, the measurement of these risk factors is not always accurate. In addition, other differences that affect infant outcomes but are not reliably measured include poverty, local interpretations of the "level" of intensive care provided, intensive care unit volume and practice style, and place of delivery.52,5966 Although a multivariate analysis using all of these known risk factors would enhance our understanding of infant mortality to some extent, the fact remains that birth weight is the major predictor of infant outcome.
A second possible limitation is that the mortality rates might vary between countries because of different definitions of "live birth," " stillbirth," and "abortion."6772 Although registration standards differ across regions and nations, these 4 countries generally follow the definitions of the World Health Organization.61,71 Australia, in contrast to the other countries, does exclude newborns <400 g, perhaps accounting for their better NMR observed at the smallest weight category. In the 1995 US cohort, 51% of registered infants <500 g actually weighed <400 g.37 Sensitivity analysis reveals that adjusting for this lack of registration in Australia would result in mortality rates for infants <1000 g that are comparable with the United States. However, even with this adjustment, this potential bias does not challenge our primary finding that the US birth weight-specific mortality is not better than the other countries.
We should also note that roles of physicians differ in these countries, and this may confound our comparisons of workforce capacity. For example, the involvement of pediatricians in neonatal intensive care units varies. Furthermore, available data do not fully account for differences in clinical effort. The US data include only full-time clinicians, the most conservative number available; the measures for the other countries include all clinicians, teachers and researchers. Mid-level providers, (eg, neonatal nurse practitioners) are present in small numbers in the other countries, but provide substantial care to neonates in the United States, possibly leading to an underestimation of the US neonatal intensive care workforce.
One unexpected finding of our study is that the US infant mortality rate for infants greater than 2500 g is significantly higher than those of the other 3 countries. If the United States were able to reduce mortality in this group to the rate in Canada, (2.62.3 per 1000 live births) this would prevent almost 3000 deaths. Neonatal mortality rates (<28 days) were similar, indicating that the higher mortality risk for the normal weight infants occurs after the first month of life. Only 23% of postneonatal mortality is attributable to perinatal causes,73 and perinatal events are less important in these normal birth weight newborns. More frequent causes of mortality (eg, sudden infant death, injuries, and infections) are not directly influenced by neonatal intensive care, but may instead reflect social disadvantage or access to medical care.74 These findings merit additional investigation.
| CONCLUSION |
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The recognition that improved infant outcomes requires consistent care from preconception through early childhood should stimulate policies directed toward a more equitable distribution of resources across the domains of reproductive care. The 1976 document, Toward Improving the Outcome of Pregnancy (or TIOP I), provided a conceptual framework for the present hospital-based regionalized system of care and may have facilitated much of the earlier improvements in perinatal outcomes.46 The report of a second committee on perinatal health (or TIOP II) in 1993, made additional policy proposals that focused beyond hospital based care into preconception and perinatal care, public education, data management, accountability and financing.47 These recommendations have not been effectively implemented in the United States. As the current study shows, the outcomes of the total US birth cohort lag behind similarly developed countries, despite the best-funded system of neonatal intensive care in the world.
| ACKNOWLEDGMENTS |
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We thank the many contacts that we made in Canada, the United Kingdom, Australia, and the United States for their patience and participation in this manuscript. In particular, we thank Russell Wilkins at Statistics Canada, Nicola Cooper at the Office for National Statistics in the United Kingdom, and James King, chair of the Consultative Council of Obstetric and Pediatric Mortality and Morbidity in Victoria, for supplying us with special analyses of perinatal mortality. Furthermore, Alexander C. Allen, at the Department of Neonatal Paediatrics in Halifax, and Doug McMillan facilitated our Canadian research. In Australia, the help provided by Paul Gavel at the Department of Health in New South Wales and by Deborah Donoghue and the Australian and New Zealand Neonatal Network was invaluable. We are also thankful for the assistance of Martin Staniforth, the Deputy Director of Human Resources at the National Health Service, Janet Tucker of the UK Neonatal Staffing Study at the University of Aberdeen, and Andrew Wilkinson of the Neonatal Unit at the John Radcliffe Hospital in Oxford. Finally, we thank Alexander Thorngren for his thoughtful review of this manuscript.
In addition, we would like to call attention to the publication of Dr Tucker and the UK Neonatal Staffing Group (Tucker J. The UK Neonatal Staffing Study Group. Patient volume, staffing and workload in relation to risk-adjusted outcomes in a random stratified sample of UK neonatal intensive care units: a prospective evaluation. Lancet. 2002;359:99107). Our manuscript was already in press at the time of its release.
| FOOTNOTES |
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Reprint requests to (L.A.T.) 7251 Strasenburgh Hall, Dartmouth Medical School, Hanover, NH 03755. E-mail: lindsay.thompson{at}dartmouth.edu
| REFERENCES |
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Mothers and Infants-1997. Perinatal Statistics Series, Number 9. Sydney, Australia: Australian Institute of Health and Welfare, National Perinatal Statistics Unit; 1999
Children
Hospital; 2000
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