Abstract
Policy Points.
State‐level social and economic policies that expand tax credits, increase paid parental leave, raise the minimum wage, and increase tobacco taxes have been demonstrated to reduce adverse perinatal and infant health outcomes.
These findings can help prioritize evidence‐based legislated policies to improve perinatal and infant outcomes in the United States.
Context
Rates of preterm birth and infant mortality are alarmingly high in the United States. Legislated efforts may directly or indirectly reduce adverse perinatal and infant outcomes through the enactment of certain economic and social policies.
Methods
We conducted a narrative review to summarize the associations between perinatal and infant outcomes and four state‐level US policies. We then used a latent profile analysis to create a social and economic policy profile for each state based on the observed policy indicators.
Findings
Of 27 articles identified, nine focused on tax credits, eight on paid parental leave, four on minimum wages, and six on tobacco taxes. In all but three studies, these policies were associated with improved perinatal or infant outcomes. Thirty‐three states had tax credit laws, most commonly the earned income tax credit (n = 28, 56%). Eighteen states had parental leave laws. Two states had minimum wage laws lower than the federal minimum; 14 were equal to the federal minimum; 29 were above the federal minimum; and 5 did not have a state law. The average state tobacco tax was $1.76 (standard deviation = $1.08). The latent profile analysis revealed three policy profiles, with the most expansive policies in Western and Northeastern US states, and the least expansive policies in the US South.
Conclusions
State‐level social and economic policies have the potential to reduce adverse perinatal and infant health outcomes in the United States. Those states with the least expansive policies should therefore consider enacting these evidence‐based policies, as they have shown a demonstratable benefit in other states.
Keywords: infant mortality, premature birth, low birthweight, policy, review, latent profile analysis
Infant mortality has long been considered a marker for the overall health 1 of a population. Despite a consistent annual decrease in infant mortality rates, the United States continues to rank high compared with other peer countries. 2 While the reason behind this inconsistency is not well known, many hypothesize that it may be attributed to the country's socioeconomic and racial inequalities. 3 , 4 , 5 , 6 A comparison of infant mortality rates in the United States, Austria, and Finland revealed that individuals with a high socioeconomic status had comparable rates of infant mortality across the three countries, but that individuals with a lower socioeconomic status had the highest rates of infant mortality in the United States, and the differences in rates between socioeconomic groups in the United States varied significantly more than those in the two other countries. 7 Additionally, this study found that while income is a strong predictor of infant mortality in the United States, geography explained even more of the variation in rates observed between the three countries, suggesting that other, unmeasured, factors could be contributing to this observation. In addition to socioeconomic inequalities, race has consistently been found to predict birth outcomes in the United States, and more recent studies have begun to assess the impact of structural racism on perinatal and infant health. Not surprisingly, greater structural racism in education, work, and homeownership has been found to be associated with increased infant mortality among Black babies. 5 , 6 A discussion of infant mortality is not complete without mentioning low birthweight and sudden infant death syndrome (SIDS), which were among the top five leading proximal causes of infant death in the United States in 2018, mediated by preterm birth. 8 Thus, reducing the incidence of preterm births and low birthweight babies should remain a priority in the effort to reduce infant mortality rates.
Legislated efforts to directly or indirectly reduce rates of preterm birth and infant mortality in the United States by improving the health and quality of life of the mother/parents during either pregnancy or postpartum may include the enactment of certain economic and social policies. Four notable social and economic policies are (1) tax credits like the Earned Income Tax Credit (EITC), which can provide financial relief for working parents; (2) paid parental leave policies, which can increase the amount of time parents are able to spend with their newborns at home while still earning an income; (3) a higher minimum wage, which can reduce poverty in pregnant women and working parents; and (4) a higher tobacco tax, which can reduce maternal smoking rates.
What the literature is lacking is a comprehensive review of these policies focusing on the United States and, more specifically, how states are adopting them and to what extent. As such, we conducted a narrative review of the literature on these four policy changes and whether they reduced preterm births and infant mortality. Approaches for improving birth outcomes include “downstream” behavioral and medical interventions that occur upon engagement with the healthcare system, as well as “upstream” interventions that occur through social and economic policies. 1 Downstream interventions typically operate on the individual level, and may consist of nutrition programs, breastfeeding support, management of maternal anemia, or the prevention and management of postpartum hemorrhage. 9
While insurance‐related policies, including Medicaid, are similarly important to maternal and child health, such policies also exert influence at the point of engagement with the health care system, and therefore a discussion of these policies is beyond the scope of this article, which focuses on upstream social and economic policies. As a secondary aim, we sought to identify a measurement of state profiles based on their adoption of these four policies. Our findings from this review can guide the prioritization of policies that can improve perinatal and infant outcomes and identify any remaining knowledge gaps.
Methods
Studies were eligible for inclusion in our review if they investigated the association between at least one of the selected social and economic policy measures and at least one of the selected perinatal or infant outcomes. The four policy measures we chose were (1) tax credits, including the EITC, child care, and child and dependent care; (2) paid parental leave; (3) minimum wages; and (4) tobacco or cigarette taxes. The outcomes of interest were pregnancy loss (including miscarriage and stillbirth), infant mortality (including SIDS), and (low) birthweight. We searched the PubMed and EconLit databases for articles in English based on these criteria without date restriction. We excluded studies that did not measure any of the four policy exposures, that did not measure any of the perinatal or infant outcomes, or that did not include US‐based data. Online Appendix Table 1 shows the details of our search criteria. We conducted this narrative review following the guidelines developed by the Preferred Reporting Items for Systematic Reviews and Meta‐Analyses (PRISMA), 10 the Scale for the Assessment of Narrative Review Articles (SANRA), 11 and the Academy of Nutrition and Dietetics. 12
We then conducted an exploratory latent profile analysis of the four aforementioned policy areas for all 50 states. This latent profile analysis allowed us to create an unobserved categorical variable based on the observed policy indicators, which can be interpreted as the social and economic policy profile of each state. The analysis contained four observed state‐level measures of the policy areas. We obtained tobacco tax data from the Campaign for Tobacco‐Free Kids for 2020, 13 and 2020 minimum wage data from the US Department of Labor. 14 We categorized paid parental leave type as none, legislation proposed, legislation enacted but narrow in scope (e.g., specific to one employer type, such as government), or legislation enacted and broad in scope based on a 2020 report from the National Conference of State Legislators. 15 We calculated tax credits as the cumulative sum of three dichotomous indicators—any earned income tax credit (yes/no), child tax credit (yes/no), child and dependent care credit (yes/no)—with a greater sum indicating more tax credits available. Our tax credit data came from the nonpartisan Tax Credits for Workers and Their Families initiative for 2020. 16
To visualize the policy profile obtained from the latent profile analysis, we created a map of the United States with each state shaded according to its latent profile. We obtained a state cartographic boundaries shapefile from the US Census Bureau, which we used for plotting. 17 As an exploratory aim, we created box plots to visualize the association between the latent policy profiles with infant mortality rate (IMR; mortality in children < 1 year of age per 1,000 live births) and fetal mortality rate (FMR; mortality in utero ≥ 20 weeks of gestation per 1,000 live births [pregnancy denominator was not available]). State‐level IMR for 2018 and FMR for 2014 to 2018 came from CDC WONDER (https://wonder.cdc.gov). All analyses were conducted in R version 3.6.3 (R Foundation for Statistical Computing, Vienna, Austria). The analytic code can be downloaded from https://doi.org/10.5281/zenodo.5013540, and Online Appendix Table 2 contains the data.
Results
Our initial search identified 305 publications (263 from PubMed and 42 from EconLit). After removing the duplicates, we screened 301 articles based on title and abstract. From these, we excluded 240 articles (108 based on birth outcome, 17 based on policy exposure, and 115 based on non‐US data), leaving 61 full‐text articles to be assessed for eligibility. We then removed an additional 34 articles (6 based on outcome, 3 based on policy exposure, 4 based on non‐US data, and 21 based on lack of research). Figure 1 shows the PRISMA flow diagram). We therefore had 27 articles for the final review, which are summarized in Table 1. Of these, nine articles focused on tax credits, eight on paid parental leave, four on minimum wages, and six on tobacco or cigarette taxes. The majority of the studies used a quasi‐experimental design (67%), followed by an ecological design (19%).
Figure 1.

PRISMA Flow Diagram for the Search and Selection of Articles [Colour figure can be viewed at wileyonlinelibrary.com]
Table 1.
Summary of Articles Included in the Review, Grouped by Policy Area: Tax Credits, Paid Parental Leave, Minimum Wages, and Cigarette Taxes
| Author, Year | Study Design and Analysis | Population | Exposure | Outcome | Results |
|---|---|---|---|---|---|
| Tax Credits | |||||
| Bruckner et al. 2013 18 | Quasi‐experimental (1); Autoregressive integrated Moving Average (AMIRA) models | Low‐income non‐Hispanic Black women who gave birth in California between 1989 and 1997 | Receipt of the EITC in the 2nd or 3rd trimester | Very low birthweight |
|
| Hamad & Rehkopf 2015 66 | Quasi‐experimental (1); Multivariable linear regressions and Instrumental Variables (IV) analysis | Women surveyed in the 1979 National Longitudinal Survey of Youth that gave birth to children between 1986 and 2000 | Size of EITC benefit | Birthweight |
|
| Hill & Gurley‐Calvez 201967 | Quasi‐experimental (1); difference‐in‐differences and triple differences | Births in Maryland between 1995 and 2004 | Montgomery county EITC | Birthweight, probability of low birthweight |
|
| Hoynes et al. 201521 | Quasi‐experimental (1); Difference‐in‐differences analysis | Single mothers aged 18 and older with US singleton births between 1983 and 1999 | EITC expansion (pre and post) | Low birthweight |
|
| Komro et al. 201919 | Quasi‐experimental (1); fixed‐effect panel data models | US singleton births to mothers 18 and older between 1994 and 2013 | Presence and generosity of EITC payments for each of 50 states + DC | Birthweight |
|
| Markowitz et al. 201722 | Quasi‐experimental (1); multistate, multiyear difference‐in‐differences design | US births between 1995 and 2013 | Generosity of state EITCs | Birthweight, probability of low birthweight, gestation weeks |
|
| Strully et al. 201020 | Quasi‐experimental (1); difference‐in‐differences modeling strategy with state and year fixed effects | Between 1980 and 2002, US singleton births to single mothers with high school degree or less. | Presence of EITC (in state of birth at time of birth), AFCD/TANF | Birthweight |
|
| Wagenaar et al. 201923 | Quasi‐experimental (1); interrupted time‐series; Autoregressive integrated Moving average (AMIRA) models | All singleton births from January 1990 through December 2015 in DC and all comparison states | Changes in EITC | Prevalence of low birthweight, mean birthweight, mean gestation weeks |
|
| Wicks‐Lim & Arno 201724 | Quasi‐experimental (1); ordinary least‐squares regression model, generalized linear model, difference‐in‐differences empirical strategy | Births in New York City between 1997 and 2010 | EITC benefit changes | Proportion of low birthweight births |
|
| Paid Parental Leave | |||||
| Guendelman et al. 200928 | Cohort; Cox proportional hazards, linear regression, logistic regression models | Women living in three Southern California counties that delivered live births between July 2002 and December 2003 and were eligible for the state's antenatal leave benefits | Antenatal leave | Gestational age |
|
| Heymann et al. 201125 | Ecological; multivariate ordinary least squares regression models | Maternity leave legislation in 178 countries and neonatal/infant mortality statistics in 2007/2008 | Leave duration and wage replacement rate | Neonatal mortality rate, infant mortality rate |
|
| Jou et al. 201829 | Cross‐sectional; logistic and multinomial logit regression models | Women aged 19 to 45 who gave birth to singleton infants in US hospitals from July 2011 to June 2012 | Use and duration of paid maternity leave | Infant health status, rehospitalization |
|
| Khan 202026 | Ecological; 2‐way fixed effects model | Country‐level data from 35 OECD countries on paid maternity/paternity leave and neonatal/infant mortality rates from 1990 to 2016 | Paid maternity or paternity leave | neonatal mortality, infant mortality |
|
| Montoya‐Williams et al. 202030 | Quasi‐experimental (1); difference‐in‐differences analysis | Live births in California, Missouri, and Pennsylvania from 1999 to 2009 | 2004 Paid Family Leave program in California | Postneonatal mortality |
|
| Pihl & Basso 201831 | Quasi‐experimental (1); difference‐in‐differences analysis | California children under 1 year of age hospitalized between 2000 and 2007; hospitalizations in Arizona, Washington, and New York between 2005 and 2009 | Paid family leave (California) | Infant hospitalizations |
|
| Stearns 201532 | Quasi‐experimental (1); difference‐in‐differences analysis | Births in California, Hawaii, New Jersey, New York, and Rhode Island from 1972 to 1985 | Access to Temporary Disability Insurance (TDI) | Low birthweight births |
|
| Tanaka 200527 | Quasi‐experimental (1); Ordinary least squares regression | Maternity and parental leave policies and infant/child mortality rates in 16 European countries, United States, and Japan | Paid maternity / parental leave | Infant mortality, postneonatal mortality, child mortality, birthweight |
|
| Minimum Wages | |||||
| Andrea et al. 202034 | Quasi‐experimental (1); unconditional linear quantile regression and difference‐in‐differences analysis | Women aged 20 to 45 years of age residing in United States that gave birth to singleton infants between 2004 and 2016 | Subminimum wage changes | Infant birthweight for gestational age z‐scores (BWz) |
|
| Komro et al. 201637 | Quasi‐experimental (1); difference‐in‐differences analysis controlled for year‐fixed effects and state‐fixedeffects | Births in United States between 1980 and 2011 | State‐level minimum wage changes | Low birthweight and postneonatal mortality |
|
| Rosenquist et al. 201936 | Ecological; multilevel logistic modeling | Infants born in United States (all 50 states + DC) in 2010 | State‐level minimum wage in 2010 and difference in minimum wage from 1980 to 2010 | Infant mortality and neonatal mortality |
|
| Wehby et al. 201635 | Quasi‐experimental (1); difference‐in‐differences analysis | Low‐educated women who gave birth in United States between 1989 and 2012 | Minimum wage | Birthweight, gestational age, fetal growth |
|
| Tobacco Taxes | |||||
| Hawkins et al. 201439 | Quasi‐experimental (1); Differences‐in‐differences analysis | Women aged 18 to 50 residing in 28 US states and Washington DC that gave birth to singleton infants between 2000 and 2010 | Cigarette tax per pack by state | Birthweight, low birthweight, preterm delivery, small for gestational age (SGA), and large for gestational age (LGA) |
|
| King et al. 201538 | Ecological; Poisson fixed‐effects model | Sudden infant death syndrome cases in 23 countries between 1990 and 2009 | Cigarette prices per pack (tax included) | Sudden infant death syndrome (SIDS) cases |
|
| Levy et al. 201640 | Policy Simulation Model; Discrete Markov model | Simulation based on US Census population data from 1965 to 2012 | Cigarette tax increase |
Low Birthweight (LBW), Preterm Births (PTBs), Sudden Infant Death Syndrome (SIDS), and ectopic pregnancy |
|
| Lien & Evans 200541 | Quasi‐experimental (1); differences‐in‐differences analysis | Women who conceived before/after tax hikes in Arizona, Illinois, Massachusetts, and Michigan between 1991 and 1994 | Cigarette tax increase | Birthweight, low birthweight births |
|
| Markowitz 200842 | Ecological; Fixed effects Poisson | Sudden infant death syndrome cases in United States between 1973 and 2003 | Cigarette prices, cigarette tax | Sudden infant death syndrome (SIDS) cases |
|
| Patrick et al. 201643 | Time‐series model; Time‐series multivariable regression models | Infant mortality rates by US state between 1999 and 2010 | Mean cigarette tax per pack, mean cigarette price per pack | Infant mortality rate |
|
Tax Credits
Nine articles assessed the association between the EITC and one or more of the outcomes. Classification of the EITC varied, with some studies comparing the EITC's presence or absence in the state or county of birth, and others comparing the size or extent of payments. Some studies differentiated between refundable and nonrefundable tax credits (refundable tax credits allow the eligible individual to receive a refund if the amount of the credit is larger than the tax owed). Although the outcomes were based on birthweight, the studies had various classifications, ranging from difference (in grams), percent change, or probability of a low or a very low birthweight birth. Some studies also included weeks of gestation as an outcome.
All but one study found a significant inverse relationship between the EITC and low birthweight (< 2500 grams), 18 the exception being a study that examined very low birthweight (< 1500 grams) as the outcome, with no statistical relationship observed. The presence of the EITC in the state of birth was associated with an increase in mean birthweight and a lower incidence of low birth weight births compared with states without the EITC. 19 , 20 Those studies that measured the differences found a 9g to 38g increase in birthweight with the presence of the EITC. Komro and colleagues found a larger beneficial effect on birthweight gains in babies born to Black mothers compared with babies born to White mothers, but an insignificant difference for babies born to Hispanic mothers. 19
In the rest of the studies, an increase in the amount of tax credit was associated with an increase in birthweight or a decrease in the incidence of low birthweight births. 21 , 22 , 23 , 24 Wagenaar and colleagues found a reduction of 1.9 low birthweight births per 100 live births when the EITC credit was 10%, and a reduction of 4.7 low birthweight births per 100 live births at 40%. 23 Markowitz and colleagues also found that the greatest increases in birthweights were in those states with the most expansive EITCs and in those with refundable EITCs. 22 One study also measured birthweight increases in states with Aid to Families with Dependent Children (AFDC) or Temporary Assistance for Needy Families (TANF) benefits, and revealed an average increase of 8 grams in birthweight for those states with top‐tier benefits compared with those with lower‐tier benefits. 20
Paid Parental Leave
Eight articles assessed the association between paid parental leave and one or more of the perinatal or infant outcomes. Three of the studies used country‐level data, comparing several countries’ parental leave policies and infant or neonatal mortality rates. 25 , 26 , 27 The remainder of the studies focused on state‐level policies in the United States. 28 , 29 , 30 , 31 , 32 As of September 2020, nine US jurisdictions (California, Connecticut, Massachusetts, New Jersey, New York, Oregon, Rhode Island, and Washington, plus the District of Columbia) that had paid family and medical leave laws. Ten additional states (Arkansas, Delaware, Idaho, Indiana, Kansas, Missouri, North Carolina, New Mexico, Tennessee, and Virginia) had more restrictive policies that covered some or all state employees. 15 The majority (60%) of the US‐based studies used California's Paid Family Leave program as a primary exposure, either by comparing outcomes in California before and after the program was implemented or by comparing outcomes in California with those in states without a paid leave policy. 28 , 30 , 31 Even though it was not specifically developed with new parents in mind, one study used access to Temporary Disability Insurance (TDI) as a proxy for paid parental leave. 32 Outcomes for these studies varied, with the majority focused on neonatal / postneonatal and infant mortality rates, followed by birthweight / low birthweight births, infant hospitalizations, and gestational age.
All but one study found a significant inverse relationship between paid parental leave and adverse perinatal and infant outcomes. Guendelman and colleagues found that women who took antenatal leave did not have longer gestations than women who did not take leave. 28 This association was significantly different only when the authors restricted their analysis to women whose efforts at work exceeded their occupational rewards. They did mention, however, that their study was underpowered, which could explain the absence of statistical significance.
International studies found that the implementation or extension of a national paid parental leave policy was associated with a decrease in infant mortality rates by a range of 2% to 10%. For example, when Heymann and colleagues looked at maternity leave legislation and neonatal/infant mortality rates in 178 countries, they found that an additional ten full‐time equivalent weeks of maternal leave was associated with 10% lower neonatal and infant mortality rates. 25 Tanaka and colleagues also predicted a decrease in infant and postneonatal mortality rates following a 10‐week extension in paid leave, as well as a decrease in low birthweight births. Their study did not, however, find a significant effect of unpaid leave on infant mortality rates. 27
For the US‐based quasi‐experimental studies, paid parental leave was associated with a reduction in postneonatal deaths, lower odds of preterm births, and fewer infant hospital admissions. This was true for both studies that used access to a paid family leave program (i.e., living in California) as the outcome, 30 , 31 as well as the study that used a personal paid leave experience (i.e., survey response) as the outcome. 29 Access to TDI was associated with an average 3.2% reduction in low birthweight births, with significant effects observed in four of the five states providing TDI. 32
Minimum Wage
Four articles assessed the association between minimum wage and one or more of the outcomes. Three of the studies focused on state‐level minimum wage changes, and one study on state‐level subminimum wage changes for tipped workers. According to the US Department of Labor, employers are required to pay their tipped workers only $2.13 an hour if their combined wage and tips equal the federal minimum wage. 33 Outcomes varied across the studies but primarily included birthweight and neonatal/postneonatal and infant mortality. One study calculated infant birthweights for gestational age z‐scores, 34 and another study included gestational age and fetal growth in their models. 35
All but one study found an overall significant association between minimum wage change and the outcomes. Rosenquist and colleagues found that an increase in minimum wage was associated with a significant reduction in infant mortality, but only among infants with non‐Hispanic Black mothers. 36 The other studies we reviewed revealed significant overall improvements with minimum wage increases. For example, Komro and colleagues and Wehby and colleagues showed that on average, every $1 increase in the minimum wage led to reductions of approximately 1% to 2% in low birthweight births and 4% in postneonatal mortality, and increases of 0.1% in birthweight and fetal growth. 35 , 37 In addition, Andrea and colleagues found that a more expansive wage policy was associated with a higher birthweight for the smallest infants and a lower birthweight for the largest infants. 34
Tobacco Tax
Six articles assessed the association between tobacco taxes and one or more of the outcomes. One study assessed the association between outcomes and cigarette prices on a global scale, 38 and the other five looked at differences by state within the United States. 39 , 40 , 41 , 42 , 43 All the studies looked at changes or differences in the cigarette taxes themselves, and some studies also included the overall price of cigarettes (tax included) in their models. 38 , 42 , 43 Outcomes varied across the studies, with the majority focused on birthweight / low birthweight births. A few studies looked at infant mortality rates, and three included the more specific outcome of SIDS.
All the studies found an overall statistically significant association between the tobacco tax and the outcomes. The studies focusing on birthweight found statistically significant increases in birthweight as cigarette taxes increased and statistically significant decreases in the rates of low birthweight births. For example, Lien and colleagues looked at average birthweights before and after cigarette tax increases in four US states and found the largest improvement in Michigan, where the tax increase resulted in the average birthweights rising by 11 grams and the low birthweight rate falling by 0.3 percentage points. 41 When Hawkins and colleagues looked at 10 years of tobacco tax changes in all 28 US states and Washington, DC, they found the most significant improvements in babies born to mothers with low education compared with mothers with high education. For example, they found that for every $1 increase in cigarette tax, birthweight increased by 4 to 5.4 grams for White and Black mothers with 0 to 11 years of education, and only 0.05 to 1.5 grams for White and Black mothers with ≥ 13 years of education. 39 Infant mortality (including SIDS) was found to decrease as the tobacco tax increased. When studying at infant mortality rates by race/ethnicity, Patrick and colleagues found a change in the infant mortality rate of ‐0.19 in the population overall, ‐0.46 in infants born to Black mothers, and ‐0.21 in infants born to White mothers. 43 The studies focusing on SIDS deaths observed a reduction of between 7 and 13 deaths with every $1 increase in the price of cigarettes. 38 , 42
State Social and Economic Policy Profiles
The distribution of the four observed policy indicators is summarized in Supplemental Table 2. The states had the following tax credit laws: earned income tax credit (n = 28, 56%), child tax credit (n = 6, 12%), and child and dependent care (n = 22, 44%). Seventeen states did not have any tax credit laws, and only four states had all three tax credit laws. Thirty‐two states did not have any parental leave laws; nine had a law that was narrow in scope; and nine had a law that was broad in scope. Five states did not have a state minimum wage law. For the others and compared with the federal minimum wage of $7.25, two were lower, 14 were equal, and 29 were higher (for states with minimum wage laws lower than the federal minimum, the federal minimum applies). Of the states with a higher federal minimum wage, the average state's minimum wage was $10.49 (standard deviation = $1.43) per hour. The average state cigarette tax was $1.76 (standard deviation = $1.08).
Based on these variables, the latent profile analysis identified three policy profiles as the optimal solution (entropy = 0.97). Policy profile 1 generally had the lowest cigarette tax, lacked a state minimum wage, and tended to have the least amount of paid parental leave and fewer tax credit laws. Policy profile 3 generally had the highest cigarette tax, the highest minimum wage, the greatest amount of paid parental leave, and more tax credit laws. Policy profile 2 was an average of profiles 1 and 3. Figure 2 depicts the distribution of these policy profiles by state. Policy profile 1 states were located in the southern United States, and policy profile 3 states tended to be on the West Coast or in the Northeast, with the exception of Colorado. As shown in Supplemental Figure 1, states in policy profile 1 tended to have a higher average IMR and FMR, and those states in policy profile 3 tended to have a lower average IMR and FMR, although we caution against overly interpreting these associations, as they are not adjusted for potential confounding.
Figure 2.

Map of the United States Depicting Three Social and Economic State Policy Profiles Based on Four Indicators: Tax Credits, Paid Parental Leave, Minimum Wage, and Tobacco Tax
Policy profile 1 generally had the lowest tobacco tax, lacked a state minimum wage, and tended to have the least amount of paid parental leave and tax credit laws. Policy profile 3 generally had the highest tobacco tax, the highest minimum wage, and the greatest amount of paid parental leave and tax credit laws. Policy profile 2 was an average of profiles 1 and 3.
Discussion
The complications of infant mortality and preterm birth observed in the United States are long‐standing, complicated, and multifactorial. Social determinants of health are frequently recognized as being the key driver for high rates of preterm birth and infant mortality in marginalized communities, particularly communities of color. 44 , 45 , 46 More recently, the dialogue has been elevated to include not decades but centuries of historical factors and policies that have left these communities vulnerable and prone to adverse perinatal and infant outcomes. 5 , 47 , 48 These complex but related outcomes cannot be blamed on a single gene, social factor, personal choice, or policy.
Over the past few decades, both health care spending and policymaking have consistently been topics of high priority for Americans and American politicians. 49 Aside from the high burden of morbidity and mortality on the American population, preterm and low birthweight births are extremely costly. The Institute of Medicine estimated that in 2005, the yearly cost of premature births in the United States was $26.2 billion. 50 In addition, a 2019 study of more than 700,000 infants born in the United States revealed that during the first six months of life, preterm infants incurred medical expenditures of an average of $76,153; low birthweight infants incurred an average of $114,437, and infants born at 24 weeks gestation incurred an average of $603,778. 51 Public policies aimed at reducing preterm and low birthweight births will not only save lives and improve perinatal and infant outcomes, it will also help relieve the existing financial burden.
This narrative review supports the proposal that tax credits (most notably the EITC), paid parental leave policies, a higher minimum wage, and a higher tobacco tax are associated with improved perinatal and infant outcomes in the United States. We observed that rates of infant mortality and low birthweight births were lower overall in those states that adopted the EITC, those with paid parental leave policies, those with a higher minimum wage, and those with a higher tobacco tax. There are many ways in which these policies are thought to affect perinatal and infant outcomes, for example, by reducing poverty, increasing the time new parents spend with their child, and reducing rates of maternal smoking. While a full investigation into these pathways is beyond the scope of our article, the literature does offer detailed descriptions of these mechanisms. 26 , 29 , 52 , 53 , 54 , 55 , 56 , 57 , 58 , 59
A key limitation of our narrative review is that it does not cover all the policies influencing infant health outcomes. The social and economic policies we selected are those most commonly studied in the field of perinatal and infant health. While health care and insurance policies such as Medicaid and the Patient Protection and Affordable Care Act are important to maternal and infant health in the United States, these policies operate at the point of care and thus were outside our review of upstream social and economic policies. As with any research study making associational claims, we should acknowledge the feasibility of changing the exposure of interest in the target population, which would be much more difficult for Medicaid and related health care policies than the four social and economic policies described in our review. Nonetheless, apart from the literature on these associations, 60 , 61 , 62 , 63 extrapolating from the limited resources available is beyond the scope of our review.
Most of the studies in our review have quasi‐experimental designs. These methods (specifically difference‐in‐differences and interrupted‐time‐series analyses) are increasingly common in studies with population‐level exposures, such as policy interventions. Effect estimates from observational quasi‐experiments have been shown to come close in causal strength to those obtained through clinical trials, owing to their ability to control for unobserved confounding in effect size estimation. 64 Ensuring valid causal inference through quasi‐experimental studies requires a rigorous understanding and examination of certain assumptions, such as parallel trends and the stable unit treatment value assumption. 65 Such studies may suffer from residual confounding, possibly inducing the observed associations. The associations we observed were consistent across multiple studies. As with any review of the literature, the results of our review may be skewed away from the null owing to publication or other reporting biases.
The pathway between legislation and perinatal and infant health outcomes is complex. The pathway may have many direct and indirect factors, and so we were unable to identify these factors. A strength of our work is the consideration of multiple policies concurrently as well as the development of state social and economic policy profiles. Our findings may prove useful as an evidence base for agencies and elected officials to prioritize perinatal and infant health policies.
Infant mortality and preterm birth are the beacons that have been blinking for years, signaling the health effects of our collective history. As we have demonstrated, certain state‐level policies such as child or dependent tax credits, paid parental leave policies, a higher minimum wage, and a higher tobacco tax have the potential to reduce these adverse maternal and child health outcomes in our country. As displayed in our policy profiles, there is a legislative disparity between states. Those states with the least expansive policies (such as those in policy profile 1) should consider enacting these evidence‐based policies, as they have shown a demonstrable benefit in other states. Future research should examine additional social, economic, and health‐related policies, as well as how the combination of these legislative efforts has collectively affected maternal and child health outcomes in the United States.
Funding/Support: None.
Conflict of Interest Disclosures: All authors have completed the ICMJE Form for Potential Conflicts of Interest. No conflicts were reported.
Supporting information
Supplemental Table 1. PubMed and EconLit Search Terms
Supplemental Table 2. State‐Level Measures of the Four Policy Areas and Infant and Fetal Mortality
Supplemental Figure 1. State‐level crude associations between three social and economic state policy profiles and infant (panel A) and fetal (panel B) mortality.
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Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Supplementary Materials
Supplemental Table 1. PubMed and EconLit Search Terms
Supplemental Table 2. State‐Level Measures of the Four Policy Areas and Infant and Fetal Mortality
Supplemental Figure 1. State‐level crude associations between three social and economic state policy profiles and infant (panel A) and fetal (panel B) mortality.
