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Figure 1.  Financial Hardship Among Peripartum Women From 2013 to 2018
Financial Hardship Among Peripartum Women From 2013 to 2018

This figure represents unadjusted, survey-weighted proportions of each outcome reported by peripartum women from the combined years of 2013-2018. Error bars show 95% CIs.

Figure 2.  Trends in Financial Hardship Outcomes Among Peripartum Women From 2013 to 2018
Trends in Financial Hardship Outcomes Among Peripartum Women From 2013 to 2018

This figure represents unadjusted, survey-weighted proportions of each outcome reported by peripartum women by year. Error bars show 95% CIs.

Figure 3.  Estimated Probabilities of Financial Hardship Among Peripartum Women by Insurance Type and Income
Estimated Probabilities of Financial Hardship Among Peripartum Women by Insurance Type and Income

This figure represents estimated probabilities of each financial hardship outcome for combined study years 2013 to 2018, adjusted for age, race, income-to–federal poverty level (FPL) ratio, education, marital status, employment status, insurance type, region, family size, reported health status, hospitalization in the past year, and year of survey. Error bars show 95% CIs.

Table.  Peripartum Women, Demographic and Socioeconomic Characteristics
Peripartum Women, Demographic and Socioeconomic Characteristics
1.
Kilpatrick  SJ, Papile  L, Macones  GA.  Guidelines for Perinatal Care. 8th ed. American Academy of Pediatrics/The American College of Obstetricians and Gynecologists; 2017.
2.
Rabin  DL, Jetty  A, Petterson  S, Froehlich  A.  Under the ACA higher deductibles and medical debt cause those most vulnerable to defer needed care.   J Health Care Poor Underserved. 2020;31(1):424-440. doi:10.1353/hpu.2020.0031PubMedGoogle ScholarCrossref
3.
Rabin  DL, Jetty  A, Petterson  S, Saqr  Z, Froehlich  A.  Among low-income respondents with diabetes, high-deductible versus no-deductible insurance sharply reduces medical service use.   Diabetes Care. 2017;40(2):239-245. doi:10.2337/dc16-1579PubMedGoogle ScholarCrossref
4.
Jarvis  C, Munoz  M, Graves  L, Stephenson  R, D’Souza  V, Jimenez  V.  Retrospective review of prenatal care and perinatal outcomes in a group of uninsured pregnant women.   J Obstet Gynaecol Can. 2011;33(3):235-243. doi:10.1016/S1701-2163(16)34824-1PubMedGoogle ScholarCrossref
5.
Agarwal  R, Mazurenko  O, Menachemi  N.  High-deductible health plans reduce health care cost and utilization, including use of needed preventive services.   Health Aff (Millwood). 2017;36(10):1762-1768. doi:10.1377/hlthaff.2017.0610PubMedGoogle ScholarCrossref
6.
Sweet  E.  Debt-related financial hardship and health.   Health Educ Behav. Published online November 26, 2020. doi:10.1177/1090198120976352PubMedGoogle Scholar
7.
Murphy  PB, Severance  S, Savage  S, Obeng-Gyasi  S, Timsina  LR, Zarzaur  BL.  Financial toxicity is associated with worse physical and emotional long-term outcomes after traumatic injury.   J Trauma Acute Care Surg. 2019;87(5):1189-1196. doi:10.1097/TA.0000000000002409PubMedGoogle ScholarCrossref
8.
Marshall  GL, Kahana  E, Gallo  WT, Stansbury  KL, Thielke  S.  The price of mental well-being in later life: the role of financial hardship and debt.   Aging Ment Health. 2021;25(7):1338-1344. doi:10.1080/13607863.2020.1758902PubMedGoogle ScholarCrossref
9.
Sweet  E, Nandi  A, Adam  EK, McDade  TW.  The high price of debt: household financial debt and its impact on mental and physical health.   Soc Sci Med. 2013;91:94-100. doi:10.1016/j.socscimed.2013.05.009PubMedGoogle ScholarCrossref
10.
Lee  LK, Chien  A, Stewart  A,  et al.  Women’s coverage, utilization, affordability, and health after the ACA: a review of the literature.   Health Aff (Millwood). 2020;39(3):387-394. doi:10.1377/hlthaff.2019.01361PubMedGoogle ScholarCrossref
11.
Daw  JR, Sommers  BD.  The Affordable Care Act and access to care for reproductive-aged and pregnant women in the United States, 2010-2016.   Am J Public Health. 2019;109(4):565-571. doi:10.2105/AJPH.2018.304928PubMedGoogle ScholarCrossref
12.
Moniz  MH, Fendrick  AM, Kolenic  GE, Tilea  A, Admon  LK, Dalton  VK.  Out-of-pocket spending for maternity care among women with employer-based insurance, 2008-15.   Health Aff (Millwood). 2020;39(1):18-23. doi:10.1377/hlthaff.2019.00296PubMedGoogle ScholarCrossref
13.
Kaiser Family Foundation. 2020 Employee health benefits survey. October 8, 2020. Accessed May 27, 2021. https://www.kff.org/report-section/ehbs-2020-summary-of-findings/
14.
Himmelstein  G, Desmond  M.  Association of eviction with adverse birth outcomes among women in Georgia, 2000 to 2016.   JAMA Pediatr. 2021;175(5):494-500. doi:10.1001/jamapediatrics.2020.6550PubMedGoogle ScholarCrossref
15.
Khadka  A, Fink  G, Gromis  A, McConnell  M.  In utero exposure to threat of evictions and preterm birth: Evidence from the United States.   Health Serv Res. 2020;55(suppl 2):823-832. doi:10.1111/1475-6773.13551PubMedGoogle ScholarCrossref
16.
Sullivan  K, St John  M, DeFranco  E, Kelly  E.  Food insecurity in an urban pregnancy cohort.   Am J Perinatol. Published online May 2, 2021. doi:10.1055/s-0041-1729159Google Scholar
17.
Healthcare.gov. Preventive health services. Accessed May 21, 2021. https://www.healthcare.gov/coverage/preventive-care-benefits/
18.
Stanczyk  AB. The dynamics of household economic circumstances around a birth. Washington Center for Equitable Growth. October 4, 2016. Accessed May 21, 2021. https://equitablegrowth.org/working-papers/income-volatility-around-birth/
19.
Livingston  G, Thomas  D. Among 41 countries, only U.S. lacks paid parental leave. Pew Research Center. December 16, 2019. Accessed October 13, 2021. https://www.pewresearch.org/fact-tank/2019/12/16/u-s-lacks-mandated-paid-parental-leave/
20.
Desmond  M, Gershenson  C.  Who gets evicted? assessing individual, neighborhood, and network factors.   Soc Sci Res. 2017;62:362-377. doi:10.1016/j.ssresearch.2016.08.017PubMedGoogle ScholarCrossref
21.
The Eviction Lab. National estimates: eviction in America. May 11, 2018. Accessed May 27, 2021. https://evictionlab.org/national-estimates/
22.
Myers  D, Park  J.  A constant quartile mismatch indicator of changing rental affordability in U.S. metropolitan areas, 2000 to 2016.   Cityscape. 2019;21(1):163-200. Accessed September 28, 2021. https://www.jstor.org/stable/e26608007Google Scholar
23.
Komro  KA, Markowitz  S, Livingston  MD, Wagenaar  AC.  Effects of state-level earned income tax credit laws on birth outcomes by race and ethnicity.   Health Equity. 2019;3(1):61-67. doi:10.1089/heq.2018.0061PubMedGoogle ScholarCrossref
24.
Enns  JE, Nickel  NC, Chartier  M,  et al.  An unconditional prenatal income supplement is associated with improved birth and early childhood outcomes among First Nations children in Manitoba, Canada: a population-based cohort study.   BMC Pregnancy Childbirth. 2021;21(1):312. doi:10.1186/s12884-021-03782-wPubMedGoogle ScholarCrossref
25.
Bitler  MP, Currie  J.  Does WIC work? the effects of WIC on pregnancy and birth outcomes.   J Policy Anal Manage. 2005;24(1):73-91. doi:10.1002/pam.20070PubMedGoogle ScholarCrossref
26.
Currie  J, Rajani  I.  Within-mother estimates of the effects of WIC on birth outcomes in New York City.   Econ Inq. 2015;53(4):1691-1701. doi:10.1111/ecin.12219PubMedGoogle ScholarCrossref
27.
Cubbin  C, Kim  Y, Vohra-Gupta  S, Margerison  C.  Longitudinal measures of neighborhood poverty and income inequality are associated with adverse birth outcomes in Texas.   Soc Sci Med. 2020;245:112665. doi:10.1016/j.socscimed.2019.112665PubMedGoogle Scholar
28.
Haas  JS, Udvarhelyi  IS, Morris  CN, Epstein  AM.  The effect of providing health coverage to poor uninsured pregnant women in Massachusetts.   JAMA. 1993;269(1):87-91. doi:10.1001/jama.1993.03500010097040PubMedGoogle ScholarCrossref
29.
Daw  JR, Hatfield  LA, Swartz  K, Sommers  BD.  Women in the United States experience high rates of coverage ‘churn’ in months before and after childbirth.   Health Aff (Millwood). 2017;36(4):598-606. doi:10.1377/hlthaff.2016.1241PubMedGoogle ScholarCrossref
30.
McMorrow  S, Johnston  EM, Thomas  T, Kenney  GM. Changes in new mothers' health care access and affordability under the Affordable Care Act. Urban Institute. October 1, 2020. Accessed May 27, 2021. https://www.urban.org/research/publication/changes-new-mothers-health-care-access-and-affordability-under-affordable-care-act
31.
Susan Marquis  M, Long  SH.  The role of public insurance and the public delivery system in improving birth outcomes for low-income pregnant women.   Med Care. 2002;40(11):1048-1059. doi:10.1097/00005650-200211000-00006PubMedGoogle ScholarCrossref
32.
Long  SH, Marquis  MS.  The effects of Florida’s Medicaid eligibility expansion for pregnant women.   Am J Public Health. 1998;88(3):371-376. doi:10.2105/AJPH.88.3.371PubMedGoogle ScholarCrossref
33.
Allen  HL, Eliason  E, Zewde  N, Gross  T.  Can Medicaid expansion prevent housing evictions?   Health Aff (Millwood). 2019;38(9):1451-1457. doi:10.1377/hlthaff.2018.05071PubMedGoogle ScholarCrossref
34.
Chua  KP, Fendrick  AM, Conti  RM, Moniz  MH.  Out-of-pocket spending for deliveries and newborn hospitalizations among the privately insured.   Pediatrics. 2021;148(1):e2021050552. doi:10.1542/peds.2021-050552PubMedGoogle Scholar
35.
Chua  K-P, Fendrick  AM, Conti  RM, Moniz  MH.  Prevalence and magnitude of potential surprise bills for childbirth.   JAMA Health Forum. 2021;2(7):e211460. doi:10.1001/jamahealthforum.2021.1460Google Scholar
36.
Ranji  U, Gomez  I, Salganicoff  A. Expanding postpartum Medicaid coverage. KFF. March 9, 2021. Accessed May 17, 2021. https://www.kff.org/womens-health-policy/issue-brief/expanding-postpartum-medicaid-coverage/
37.
National Academy for State Health Policy. View each state’s efforts to extend Medicaid coverage to postpartum Women. Updated September 3, 2021. Accessed May 27, 2021. https://www.nashp.org/view-each-states-efforts-to-extend-medicaid-coverage-to-postpartum-women/
38.
American College of Obstetricians and Gynecologists. Policy priorities: expand postpartum Medicaid coverage. Accessed May 27, 2021. https://www.acog.org/advocacy/policy-priorities/extend-postpartum-medicaid-coverage
Original Investigation
Health Policy
October 29, 2021

Financial Hardship Among Pregnant and Postpartum Women in the United States, 2013 to 2018

Author Affiliations
  • 1National Clinician Scholars Program, University of Michigan, Ann Arbor
  • 2Department of General Surgery, Stanford University, Stanford, California
  • 3Department of Obstetrics and Gynecology, University of Michigan, Ann Arbor
  • 4Department of Surgery, University of Michigan, Ann Arbor
  • 5Institute for Healthcare Policy and Innovation, University of Michigan, Ann Arbor
  • 6Division of General Medicine, Department of Internal Medicine, University of Michigan, Ann Arbor
  • 7Program on Women’s Healthcare Effectiveness Research (PWHER), University of Michigan, Ann Arbor
JAMA Netw Open. 2021;4(10):e2132103. doi:10.1001/jamanetworkopen.2021.32103
Key Points

Question  What is the prevalence of financial hardship, including unmet health care need due to cost, health care unaffordability, and general financial stress, among peripartum women in the United States?

Findings  This cross-sectional study of 3509 peripartum women, weighted to represent more than 1 million women, found that financial hardship was common: from 2013 to 2018, 24% reported unmet health care needs; 60%, health care unaffordability; and 54%, general financial stress. Private insurance was associated with lower odds of unmet health care need but higher odds of health care unaffordability, and lower household income was associated with higher odds of both unmet health care need and health care unaffordability.

Meaning  These findings suggest that financial hardship is highly prevalent among peripartum women, which should prompt policy interventions to promote the economic well-being of families.

Abstract

Importance  Financial hardship affects health care access and health outcomes among peripartum women.

Objective  To evaluate the prevalence of financial hardship among peripartum women over time and by insurance type and income.

Design, Setting, and Participants  This cross-sectional study included peripartum women, defined as women aged 18 to 45 years who reported being currently pregnant or pregnant in the past 12 months, who participated in the National Health Interview Survey from 2013 to 2018. Data were analyzed from January to May 2021.

Exposures  Current pregnancy or recent pregnancy as well as insurance type and income.

Main Outcomes and Measures  Three measures of financial hardship within the last year were evaluated: (1) unmet health care need due to cost (unmet need for medical care or delayed or deferred medical care due to cost); (2) health care unaffordability (worry about paying for potential medical bills or existing medical debt); and (3) general financial stress (worry about subsistence spending [eg, monthly bills, housing]).

Results  The study cohort included 3509 peripartum women, weighted to represent 1 050 789 women (2018: an estimated 36 045 of 184 018 [19.6%] Hispanic, 39 017 [21.2%] Black, and 97 366 [52.9%] White), with a mean (SD) age of 29 (6) years. Overall, from 2013 to 2018, 24.2% (95% CI, 22.6%-26.0%) of peripartum women reported unmet health care need, 60.0% (95% CI, 58.0%-61.9%) reported health care unaffordability, and 54.0% (95% CI, 51.5%-56.5%) reported general financial stress. The prevalence of financial hardship outcomes did not substantially change between 2013 and 2018 (unmet health care need in 2013: 27.9% [95% CI, 24.4%-31.7%]; in 2018: 23.7% [95% CI, 19.5%-28.6%]; health care unaffordability in 2013: 65.7% [95% CI, 61.1%-70.0%]; in 2018: 58.8% [95% CI, 53.4%-64.0%]; general financial stress in 2013: 60.6% [95% CI, 55.2%-65.8%]; in 2018: 53.8% [95% CI, 47.8%-59.8%]). Women with private insurance had lower odds of unmet need (adjusted odds ratio [aOR], 0.67; 95% CI, 0.52-0.87) but higher odds of health care unaffordability (aOR, 1.88; 95% CI, 1.49-2.36) compared with women with public insurance. Peripartum women with household incomes less than 400% of the federal poverty level had higher odds of unmet need (aOR, 1.50; 95% CI, 1.08-2.08) and unaffordable care (aOR, 1.98; 95% CI, 1.54-2.55) compared with those with household incomes 400% or more of federal poverty level.

Conclusions and Relevance  These findings suggest that financial hardship among peripartum women in the United States was common from 2013 to 2018, including 24% of pregnant and postpartum women reporting unmet health care need and 60% reporting health care unaffordability. Women with private insurance and those living on lower incomes were more likely to experience unaffordable health care than women with pubic insurance and those with higher incomes, respectively. Targeted policy interventions are needed to improve health care affordability and promote overall economic security among peripartum women.

Introduction

The peripartum period, defined as pregnancy and the 12 months after delivery, is a critical time for health care access for women and infants.1 Prenatal and postpartum visits provide essential preventive services (eg, vaccinations, screening for gestational diabetes and anemia) and an opportunity for early diagnosis and management of pregnancy complications. However, the cost of health care is a well-recognized barrier to utilization of recommended services2,3 and can affect both those without insurance (who are exposed to full charges for health care services4) and those with insurance (via copayments, coinsurance, and deductibles5). Those who delay or forego medical care due to financial hardship are more likely to report worse health.6 In addition to delayed care, financial hardship has also been shown to be associated with poor mental health.7-9 Improving coverage and affordability of recommended health care for peripartum women is a decades-long policy goal, beginning with the Pregnancy Discrimination Act in the 1970s and the expansion of Medicaid eligibility for pregnant and postpartum women in the 1980s. More recently, the Patient Protection and Affordable Care Act (ACA) included a preventive services provision that requires coverage for some prenatal services without cost-sharing for those with private insurance, and multiple other provisions sought to broadly expand coverage and affordability for all women of reproductive age. These policies appear to be benefitting women overall, with improved insurance coverage and reduced cost-related barriers to care—especially among those living on low incomes.10,11

However, it is unclear whether these broader trends reflect the experience of peripartum women, or rather, if additional policy change is needed to ensure the financial stability of this group. In a 2020 study of peripartum women with private insurance, out-of-pocket costs for maternity care increased by nearly 50% between 2008 and 2015, largely driven by increasing deductible payments.12 Additionally, many families with private insurance are facing increasing premium costs.13 It is unclear how these broader trends in health insurance benefit design are affecting peripartum women’s economic well-being. Moreover, there is increasing recognition that efforts to mitigate financial hardship among peripartum women may have too narrowly focused on the costs of health care itself, with relative underattention to financial hardship related to the social determinants of health, such as housing and food insecurity.14-16 Our objective in this study was to evaluate the prevalence of financial hardship among peripartum women, over time and by insurance type and household income.

Methods

This cross-sectional, observational study used data from the 2013 to 2018 National Health Interview Survey (NHIS) to evaluate prevalence and changes over time in financial hardship among pregnant women. This study using publicly available, deidentified data was deemed not regulated by the University of Michigan institutional review board; therefore, informed consent was not required. This study followed the Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) reporting guideline.

Data Source and Study Sample

The NHIS is an annual nationally representative survey of civilian households conducted by the US Centers for Disease Control and Prevention (CDC), which collects information about demographic characteristics, socioeconomic status, health insurance, and health care access and utilization. Survey outcomes are based on a 12-month recall period. The study cohort included peripartum women, defined as women aged 18 to 45 years who reported being currently or recently pregnant (within the last calendar year). We examined data for all financial hardship outcomes beginning in 2013 (the first year for which these outcomes became available) through 2018 (the most recent year of reporting).

Outcomes

Primary outcomes included 3 measures of financial hardship: unmet health care need due to cost, health care unaffordability, and general financial stress. Unmet health care need due to cost was defined as reporting needing but being unable to afford medical care, prescription medications, eyeglasses, or mental health care due to cost or reporting that the respondent or family member delayed or deferred needed care due to cost. Health care unaffordability was defined as reporting feeling “somewhat worried” or “very worried” about potential medical bills or reports of existing medical debt, ie, problems paying medical bills, medical bills being paid off over time, or being unable to pay medical bills. General financial stress was defined as reporting feeling “moderately worried” or “very worried” about monthly bills, housing costs, minimum payments on credit cards, retirement contributions, or maintaining standard of living. See eMethods in the Supplement for the detailed survey questions used for each of these outcomes.

Statistical Analysis

We compared changes in the survey-weighted proportions of study participants’ demographic and socioeconomic characteristics as well as insurance type from 2013 to 2018 using χ2 tests. We evaluated the unadjusted survey-weighted proportion of each outcome overall during 2013 to 2018 to understand overall prevalence of each financial hardship outcome.

We also examined trends in prevalence over time using the unadjusted survey-weighted proportion of each financial hardship outcome in each study year. Unadjusted logistic regression was used to assess for significant variation between 2013 and 2018.

Finally, we performed stratified analyses by insurance type and income. Subpopulation analyses assessed trends among peripartum women by insurance types or income over time, with insurance types defined as private, public (Medicaid) or other, and uninsured. To isolate the association of insurance type and income with financial hardship, we used multivariable logistic regression models to estimate odds ratios (ORs) and estimated probabilities. Models were adjusted for factors that could affect the risk of financial hardship, including age, race, income-to–federal poverty level (FPL) ratio, education, marital status, employment status, insurance type, region, family size, reported health status, hospitalization in the past year, and year of survey. Race and ethnicity were reported by survey respondents and recoded by the NHIS to Hispanic, non-Hispanic Asian, non-Hispanic Black, non-Hispanic White, and non-Hispanic all other race groups. We included the following categories: Hispanic; non-Hispanic Black; non-Hispanic White; and non-Hispanic other race, which combined non-Hispanic Asian and non-Hispanic all other race groups.

All analyses used the survey weights and setup variables as provided by the NHIS to accommodate the complex sample design. Individuals missing covariates were excluded from the regression analysis but included in the overall prevalence estimates as long as they reported the primary outcome. All analyses were conducted with a 95% CI in Stata version 16 (StataCorp). Statistical significance was set at P < .05, and all tests were 2-tailed.

Results

The study population included a total of 3509 peripartum women (weighted to represent 1 050 789 women) from 2013 to 2018, with a mean (SD) age of 29 (6) years. In 2018, an estimated 39 017 of 184 018 (21.2%) were Black; 36 045 (19.6%), Hispanic; and 97 366 (52.9%), White. In later study years, peripartum women were older, more highly educated, and less likely to be uninsured (Table).

Overall Prevalence of and Trends in Financial Hardship, 2013 to 2018

Overall, from 2013 to 2018, 24.2% (95% CI, 22.6%-26.0%) of peripartum women reported unmet health care need, 60.0% (95% CI, 58.0%-61.9%) reported health care unaffordability, and 54.0% (95% CI, 51.5%-56.5%) reported general financial stress (Figure 1). Comparing the unadjusted reported financial hardship outcome by each study year, unmet health care need (2013: 27.9% [95% CI, 24.4%-31.7%]; 2018: 23.7% [95% CI, 19.5%-28.6%]), health care unaffordability (2013: 65.7% [95% CI, 61.1%-70.0%]; 2018: 58.8% [95% CI, 53.4%-64.0%]), and general financial stress (2013: 60.6% [95% CI, 55.2%-65.8%]; 2018: 53.8% [95% CI, 47.8%-59.8%]) did not change substantively between 2013 and 2018 (Figure 2).

Stratified Analysis of Financial Hardship by Insurance Type and Income

All financial hardship outcomes were common across all insurance and income groups (eg, unaffordable care with private insurance: 63.8% [95% CI, 61.1%-66.6%]; with public insurance: 49.9% [95% CI, 46.4%-53.4%]; with no insurance: 81.8% [95% CI, 76.4%-87.3%]; with income <400% of the FPL: 65.5% [95% CI, 62.1%-66.9%]; with income ≥400% of the FPL: 49.3% [95% CI, 44.7%-53.9%]) (Figure 3). Uninsured peripartum women had the highest odds of reporting unmet health care need (adjusted OR [aOR], 4.40; 95% CI, 3.23-6.00) and health care unaffordability (aOR, 5.18; 95% CI, 3.49-7.70) compared with women with public insurance, while women with private insurance had lower odds of reporting unmet health care need (aOR, 0.67; 95% CI, 0.52-0.87) but higher odds of reporting health care unaffordability (aOR, 1.88; 95% CI, 1.49-2.36) compared with women with public insurance (eTable in the Supplement). Peripartum women with household incomes of less than 400% of the FPL had higher odds of reporting unmet health care need (aOR, 1.50; 95% CI, 1.08-2.08) and health care unaffordability (aOR, 1.98; 95% CI, 1.54-2.55) compared with those with household incomes of at least 400% of FPL. Odds of general financial stress did not differ by insurance status or income.

Discussion

This cohort study using nationally representative survey data found persistently high prevalence of financial hardship among peripartum women between 2013 and 2018. Despite the implementation of the ACA and a generally strong economy during the study period, financial hardship did not improve. Compared with women with public insurance, those without insurance were more likely to experience unmet health care need and health care unaffordability and those with private insurance were less likely to report unmet health care need but more likely to report health care unaffordability. General financial stress was highly prevalent, affecting at least 5 in 10 peripartum women in all income and insurance groups. Policies targeting financial risk protection are urgently needed to promote improved economic well-being of peripartum women and their growing families.

To our knowledge, this is the first study to quantify broader financial hardship among peripartum women in the United States beyond medical costs alone. General financial stress, including worry about paying monthly bills, credit cards, and housing expenses, was common among peripartum women. This financial hardship may reflect economic burden due to health care as well as a host of other circumstances contributing to financial instability.17 Household income falls dramatically around the time of childbirth,18 with the United States as the only resourced country without mandatory paid parental leave.19 Rent costs are rising faster than renters’ wages, putting many families at risk of eviction—more than 2 million families were evicted in 2016, with low-income, Black, and Hispanic families particularly at risk.20-22 Policies and programs that address social needs during pregnancy have clear benefits for birth and developmental outcomes, such as preterm birth and low birth weight,14,15,23-27 and may help to alleviate the highly prevalent general financial stress observed in this study.

Our findings also underscore the importance of stable insurance coverage for pregnant and postpartum women. At all study time points, rates of unmet health care need and health care unaffordability were highest among peripartum women without health insurance coverage. These financial burdens may help to explain why lack of insurance during pregnancy is associated with inadequate and late prenatal care and elevated risk of adverse birth outcomes.4,28 Disruptions in insurance coverage are common during pregnancy and the first 6 months post partum, affecting women with both private and public insurance.29,30 Specifically, individuals insured by Medicaid at time of childbirth may lose insurance coverage given the change in eligibility requirements after delivery.29 Expansion of peripartum insurance coverage is a proven strategy to improve access to care and maternal and infant health outcomes.26,31,32 In addition, Medicaid expansion has been associated with decreased housing evictions.33 Our findings suggest that improved coverage may also alleviate the financial hardship currently faced by many families in the United States.

However, financial hardship was extremely common among peripartum women regardless of insurance. Health care unaffordability was pervasive, affecting more than 50% of women with insurance and a striking 64% of women with private insurance. Our results suggest that perinatal health care may be leading families to be worried about paying medical bills or experiencing medical debt. This study also newly documents high rates of unmet health care need among peripartum women with insurance (18% of women with private insurance and 24% of those with public insurance), suggesting that financial hardship may be leading some peripartum women to delay or defer recommended health care services. For women with private insurance, these findings may reflect high out-of-pocket costs for pregnancy care and for maternal and infant care during childbirth.12,34,35 For women insured by Medicaid, who are largely shielded from out-of-pocket costs for pregnancy care, the observed financial hardship may reflect the indirect costs associated with health care, such as those for childcare, transportation, parking, and unpaid time off work related to health care use. While improving health coverage and benefit design is an important policy priority, our results demonstrate that these policy changes alone will likely be insufficient. Alleviating unaffordable care or unmet health care need for peripartum individuals will likely require intersectional changes, such as paid parental leave, child tax credits, and strategies to alleviate food and housing insecurity.

Alleviating health care–related financial hardship among peripartum women is a long-standing, bipartisan policy goal. Our findings suggest urgent need for policies that ensure uninterrupted insurance coverage for pregnant and postpartum women. Extension of Medicaid coverage from 60 days to a full year post partum is one such policy, which is supported by several federal legislative proposals, including the Helping Medicaid Offer Maternity Services (MOMS) Act of 2019 and the Patient Protection and Affordable Care Act Enhancement Act.36 Multiple states are also pursuing actions to extend postpartum Medicaid eligibility.36-38 Policy makers should also consider policies to reduce or eliminate cost-sharing for recommended health care during pregnancy and the year post partum as a means to improve families’ financial stability and ensure utilization of recommend maternal and infant health care services. Our findings related to highly prevalent general financial stress also call for policies to address unmet social needs during pregnancy and the postpartum year (eg, state or federal policies preventing eviction during this time could reduce risk for adverse birth outcomes and improve families’ economic resilience) as well as paid parental leave.19

Limitations

This study must be interpreted in light of its limitations. First, the NHIS is a survey database and contains little clinical information. The study population and outcomes are defined by participant responses. However, these are ideally suited to our evaluation of the prevalence of financial hardship. Second, the cross-sectional survey design limits longitudinal individual-level comparisons. Therefore, we are only able to examine the peripartum period cross-sectionally and cannot evaluate dynamic changes in financial hardship at the individual level (ie, before vs after delivery). In addition, while the survey is designed to be nationally representative, the absolute numbers of peripartum women included in the survey limit some smaller subgroup analyses. Additionally, this study focused on pregnant and postpartum women, and the results are not generalizable to all women.

Conclusions

In this study representing more than 1 million peripartum women, unmet health care need, health care unaffordability, and general financial stress were common. Despite the study period including the implementation of the ACA and a generally strong economy, financial hardship remained prevalent among this population. While private insurance was associated with greater health care unaffordability, respondents without insurance were at the highest risk of all outcomes. As the future of the ACA and Medicaid expansion continues to be debated, ensuring continuous insurance for the peripartum population and reducing cost-sharing to improve access to essential perinatal services are critical.

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Article Information

Accepted for Publication: August 29, 2021.

Published: October 29, 2021. doi:10.1001/jamanetworkopen.2021.32103

Open Access: This is an open access article distributed under the terms of the CC-BY License. © 2021 Taylor K et al. JAMA Network Open.

Corresponding Author: Kathryn Taylor, MD, National Clinician Scholars Program, University of Michigan, 2800 Plymouth Rd, Bldg 14, Room G100, Ann Arbor, MI 48109 (tkathryn@med.umich.edu).

Author Contributions: Dr Taylor and Ms Kolenic had full access to all of the data in the study and take responsibility for the integrity of the data and the accuracy of the data analysis.

Concept and design: Taylor, Compton, Kolenic, Scott, Dalton, Moniz.

Acquisition, analysis, or interpretation of data: All authors.

Drafting of the manuscript: Taylor, Compton.

Critical revision of the manuscript for important intellectual content: All authors.

Statistical analysis: Taylor, Kolenic, Scott.

Administrative, technical, or material support: Scott, Moniz.

Supervision: Compton, Scott, Dalton, Moniz.

Conflict of Interest Disclosures: Dr Dalton reported receiving grant funding from the National Institutes for Health, American Association of Obstetricians and Gynecologists Foundation, the Laura and John Arnold Foundation, National Institute for Reproductive Health, Blue Cross Blue Shield Foundation, the Society of Family Planning, and the Michigan Department of Health and Human Services; being a paid contributing editor for the Medical Letter and an author for UptoDate; serving as a consultant for Bind; serving as an expert witness for Merck; and having participated on study sections for the National Institutes of Health and the Agency for Healthcare Research and Quality outside the submitted work. Dr Moniz reported receiving personal fees from the RAND Corporation and the Society of Family Planning outside the submitted work. No other disclosures were reported.

Funding/Support: Dr Taylor was supported by the National Clinician Scholars Program at the University of Michigan. Dr Dalton was supported by grant R01 HS023784 from the Agency for Healthcare Research and Quality. Dr Moniz was supported by grant K08 HS025465 from the Agency for Healthcare Research and Quality.

Role of the Funder/Sponsor: The funders had no role in the design and conduct of the study; collection, management, analysis, and interpretation of the data; preparation, review, or approval of the manuscript; and decision to submit the manuscript for publication.

Meeting Presentation: Some results from this study were presented at the Annual Meeting of the American College of Obstetricians and Gynecologists; April 30 to May 2, 2021; virtual; and at the Annual Research Meeting of AcademyHealth; June 14 to 17, 2021; virtual.

Additional Contributions: Brandy Sinco, MA, MS (Department of Surgery, University of Michigan), assisted with data set construction. Sarah Block, BGS (Department of Obstetrics and Gynecology, University of Michigan), assisted with editing and submission support. Neither received compensation for their role in this study.

References
1.
Kilpatrick  SJ, Papile  L, Macones  GA.  Guidelines for Perinatal Care. 8th ed. American Academy of Pediatrics/The American College of Obstetricians and Gynecologists; 2017.
2.
Rabin  DL, Jetty  A, Petterson  S, Froehlich  A.  Under the ACA higher deductibles and medical debt cause those most vulnerable to defer needed care.   J Health Care Poor Underserved. 2020;31(1):424-440. doi:10.1353/hpu.2020.0031PubMedGoogle ScholarCrossref
3.
Rabin  DL, Jetty  A, Petterson  S, Saqr  Z, Froehlich  A.  Among low-income respondents with diabetes, high-deductible versus no-deductible insurance sharply reduces medical service use.   Diabetes Care. 2017;40(2):239-245. doi:10.2337/dc16-1579PubMedGoogle ScholarCrossref
4.
Jarvis  C, Munoz  M, Graves  L, Stephenson  R, D’Souza  V, Jimenez  V.  Retrospective review of prenatal care and perinatal outcomes in a group of uninsured pregnant women.   J Obstet Gynaecol Can. 2011;33(3):235-243. doi:10.1016/S1701-2163(16)34824-1PubMedGoogle ScholarCrossref
5.
Agarwal  R, Mazurenko  O, Menachemi  N.  High-deductible health plans reduce health care cost and utilization, including use of needed preventive services.   Health Aff (Millwood). 2017;36(10):1762-1768. doi:10.1377/hlthaff.2017.0610PubMedGoogle ScholarCrossref
6.
Sweet  E.  Debt-related financial hardship and health.   Health Educ Behav. Published online November 26, 2020. doi:10.1177/1090198120976352PubMedGoogle Scholar
7.
Murphy  PB, Severance  S, Savage  S, Obeng-Gyasi  S, Timsina  LR, Zarzaur  BL.  Financial toxicity is associated with worse physical and emotional long-term outcomes after traumatic injury.   J Trauma Acute Care Surg. 2019;87(5):1189-1196. doi:10.1097/TA.0000000000002409PubMedGoogle ScholarCrossref
8.
Marshall  GL, Kahana  E, Gallo  WT, Stansbury  KL, Thielke  S.  The price of mental well-being in later life: the role of financial hardship and debt.   Aging Ment Health. 2021;25(7):1338-1344. doi:10.1080/13607863.2020.1758902PubMedGoogle ScholarCrossref
9.
Sweet  E, Nandi  A, Adam  EK, McDade  TW.  The high price of debt: household financial debt and its impact on mental and physical health.   Soc Sci Med. 2013;91:94-100. doi:10.1016/j.socscimed.2013.05.009PubMedGoogle ScholarCrossref
10.
Lee  LK, Chien  A, Stewart  A,  et al.  Women’s coverage, utilization, affordability, and health after the ACA: a review of the literature.   Health Aff (Millwood). 2020;39(3):387-394. doi:10.1377/hlthaff.2019.01361PubMedGoogle ScholarCrossref
11.
Daw  JR, Sommers  BD.  The Affordable Care Act and access to care for reproductive-aged and pregnant women in the United States, 2010-2016.   Am J Public Health. 2019;109(4):565-571. doi:10.2105/AJPH.2018.304928PubMedGoogle ScholarCrossref
12.
Moniz  MH, Fendrick  AM, Kolenic  GE, Tilea  A, Admon  LK, Dalton  VK.  Out-of-pocket spending for maternity care among women with employer-based insurance, 2008-15.   Health Aff (Millwood). 2020;39(1):18-23. doi:10.1377/hlthaff.2019.00296PubMedGoogle ScholarCrossref
13.
Kaiser Family Foundation. 2020 Employee health benefits survey. October 8, 2020. Accessed May 27, 2021. https://www.kff.org/report-section/ehbs-2020-summary-of-findings/
14.
Himmelstein  G, Desmond  M.  Association of eviction with adverse birth outcomes among women in Georgia, 2000 to 2016.   JAMA Pediatr. 2021;175(5):494-500. doi:10.1001/jamapediatrics.2020.6550PubMedGoogle ScholarCrossref
15.
Khadka  A, Fink  G, Gromis  A, McConnell  M.  In utero exposure to threat of evictions and preterm birth: Evidence from the United States.   Health Serv Res. 2020;55(suppl 2):823-832. doi:10.1111/1475-6773.13551PubMedGoogle ScholarCrossref
16.
Sullivan  K, St John  M, DeFranco  E, Kelly  E.  Food insecurity in an urban pregnancy cohort.   Am J Perinatol. Published online May 2, 2021. doi:10.1055/s-0041-1729159Google Scholar
17.
Healthcare.gov. Preventive health services. Accessed May 21, 2021. https://www.healthcare.gov/coverage/preventive-care-benefits/
18.
Stanczyk  AB. The dynamics of household economic circumstances around a birth. Washington Center for Equitable Growth. October 4, 2016. Accessed May 21, 2021. https://equitablegrowth.org/working-papers/income-volatility-around-birth/
19.
Livingston  G, Thomas  D. Among 41 countries, only U.S. lacks paid parental leave. Pew Research Center. December 16, 2019. Accessed October 13, 2021. https://www.pewresearch.org/fact-tank/2019/12/16/u-s-lacks-mandated-paid-parental-leave/
20.
Desmond  M, Gershenson  C.  Who gets evicted? assessing individual, neighborhood, and network factors.   Soc Sci Res. 2017;62:362-377. doi:10.1016/j.ssresearch.2016.08.017PubMedGoogle ScholarCrossref
21.
The Eviction Lab. National estimates: eviction in America. May 11, 2018. Accessed May 27, 2021. https://evictionlab.org/national-estimates/
22.
Myers  D, Park  J.  A constant quartile mismatch indicator of changing rental affordability in U.S. metropolitan areas, 2000 to 2016.   Cityscape. 2019;21(1):163-200. Accessed September 28, 2021. https://www.jstor.org/stable/e26608007Google Scholar
23.
Komro  KA, Markowitz  S, Livingston  MD, Wagenaar  AC.  Effects of state-level earned income tax credit laws on birth outcomes by race and ethnicity.   Health Equity. 2019;3(1):61-67. doi:10.1089/heq.2018.0061PubMedGoogle ScholarCrossref
24.
Enns  JE, Nickel  NC, Chartier  M,  et al.  An unconditional prenatal income supplement is associated with improved birth and early childhood outcomes among First Nations children in Manitoba, Canada: a population-based cohort study.   BMC Pregnancy Childbirth. 2021;21(1):312. doi:10.1186/s12884-021-03782-wPubMedGoogle ScholarCrossref
25.
Bitler  MP, Currie  J.  Does WIC work? the effects of WIC on pregnancy and birth outcomes.   J Policy Anal Manage. 2005;24(1):73-91. doi:10.1002/pam.20070PubMedGoogle ScholarCrossref
26.
Currie  J, Rajani  I.  Within-mother estimates of the effects of WIC on birth outcomes in New York City.   Econ Inq. 2015;53(4):1691-1701. doi:10.1111/ecin.12219PubMedGoogle ScholarCrossref
27.
Cubbin  C, Kim  Y, Vohra-Gupta  S, Margerison  C.  Longitudinal measures of neighborhood poverty and income inequality are associated with adverse birth outcomes in Texas.   Soc Sci Med. 2020;245:112665. doi:10.1016/j.socscimed.2019.112665PubMedGoogle Scholar
28.
Haas  JS, Udvarhelyi  IS, Morris  CN, Epstein  AM.  The effect of providing health coverage to poor uninsured pregnant women in Massachusetts.   JAMA. 1993;269(1):87-91. doi:10.1001/jama.1993.03500010097040PubMedGoogle ScholarCrossref
29.
Daw  JR, Hatfield  LA, Swartz  K, Sommers  BD.  Women in the United States experience high rates of coverage ‘churn’ in months before and after childbirth.   Health Aff (Millwood). 2017;36(4):598-606. doi:10.1377/hlthaff.2016.1241PubMedGoogle ScholarCrossref
30.
McMorrow  S, Johnston  EM, Thomas  T, Kenney  GM. Changes in new mothers' health care access and affordability under the Affordable Care Act. Urban Institute. October 1, 2020. Accessed May 27, 2021. https://www.urban.org/research/publication/changes-new-mothers-health-care-access-and-affordability-under-affordable-care-act
31.
Susan Marquis  M, Long  SH.  The role of public insurance and the public delivery system in improving birth outcomes for low-income pregnant women.   Med Care. 2002;40(11):1048-1059. doi:10.1097/00005650-200211000-00006PubMedGoogle ScholarCrossref
32.
Long  SH, Marquis  MS.  The effects of Florida’s Medicaid eligibility expansion for pregnant women.   Am J Public Health. 1998;88(3):371-376. doi:10.2105/AJPH.88.3.371PubMedGoogle ScholarCrossref
33.
Allen  HL, Eliason  E, Zewde  N, Gross  T.  Can Medicaid expansion prevent housing evictions?   Health Aff (Millwood). 2019;38(9):1451-1457. doi:10.1377/hlthaff.2018.05071PubMedGoogle ScholarCrossref
34.
Chua  KP, Fendrick  AM, Conti  RM, Moniz  MH.  Out-of-pocket spending for deliveries and newborn hospitalizations among the privately insured.   Pediatrics. 2021;148(1):e2021050552. doi:10.1542/peds.2021-050552PubMedGoogle Scholar
35.
Chua  K-P, Fendrick  AM, Conti  RM, Moniz  MH.  Prevalence and magnitude of potential surprise bills for childbirth.   JAMA Health Forum. 2021;2(7):e211460. doi:10.1001/jamahealthforum.2021.1460Google Scholar
36.
Ranji  U, Gomez  I, Salganicoff  A. Expanding postpartum Medicaid coverage. KFF. March 9, 2021. Accessed May 17, 2021. https://www.kff.org/womens-health-policy/issue-brief/expanding-postpartum-medicaid-coverage/
37.
National Academy for State Health Policy. View each state’s efforts to extend Medicaid coverage to postpartum Women. Updated September 3, 2021. Accessed May 27, 2021. https://www.nashp.org/view-each-states-efforts-to-extend-medicaid-coverage-to-postpartum-women/
38.
American College of Obstetricians and Gynecologists. Policy priorities: expand postpartum Medicaid coverage. Accessed May 27, 2021. https://www.acog.org/advocacy/policy-priorities/extend-postpartum-medicaid-coverage
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