Impacts of Medicaid Expansion Before Conception on Prepregnancy Health, Pregnancy Health, and Outcomes.
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ABSTRACT:
SUBMITTER: Margerison CE
PROVIDER: S-EPMC8522774 | biostudies-literature |
REPOSITORIES: biostudies-literature
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Project description:ObjectiveTo compare the risk of ectopic pregnancy among women with and women without antidepressant prescriptions around conception and examine whether this risk differs by prepregnancy depression status.MethodsWe conducted a cohort study of all pregnancies between November 1, 2008, and September 30, 2015, identified in the nationwide (American) IBM® MarketScan® Databases. At least one day's supply of antidepressants in the 3 weeks after a woman's last menstrual period defined active antidepressant use around conception. At least one depression diagnosis in the year before the last menstrual period defined prepregnancy depression. Relative risk (RR) of ectopic pregnancy was estimated using unadjusted and inverse probability of treatment (IPT)-weighted log-binomial models.ResultsOf the 1,703,245 pregnancies, 106,788 (6.3%) women had a prepregnancy depression diagnosis. Among women with a depression diagnosis, 40,287 (37.7%) had an active antidepressant prescription around conception; the IPT-weighted risk of ectopic pregnancy was similar among women who did and did not fill an antidepressant prescription around conception (IPT-weighted RR = 1.01; 95% CI, 0.93 to 1.10). Overall, the risk of ectopic pregnancy was higher among women who had a prepregnancy depression diagnosis than women who did not have a prepregnancy depression diagnosis (IPT-weighted RR = 1.09; 95% CI, 1.04 to 1.15).ConclusionsThis study's findings suggest that women who have a prepregnancy depression diagnosis are at a slightly increased risk of ectopic pregnancy, and among women who have a prepregnancy depression diagnosis, the use of antidepressants around conception does not increase the risk of ectopic pregnancy.
| S-EPMC7658419 | biostudies-literature
Project description:IntroductionPreconception and interconception health care are critical means of identifying, managing, and treating risk factors originating before pregnancy that can harm fetal development and maternal health. However, many women in the U.S. lack health insurance, limiting their ability to access such care. State-level variation in Medicaid eligibility, particularly before and after the 2014 Medicaid expansions, offers a unique opportunity to test the hypothesis that increasing healthcare coverage for low-income women can improve preconception and interconception healthcare access and utilization, chronic disease management, overall health, and health behaviors.MethodsIn 2018-2019, data on 58,365 low-income women aged 18-44 years from the 2011-2016 Behavioral Risk Factor Surveillance System were analyzed, and a difference-in-difference analysis was used to examine the impact of Medicaid expansions on preconception health.ResultsExpanded Medicaid eligibility was associated with increased healthcare coverage and utilization, better self-rated health, and decreases in avoidance of care because of cost, heavy drinking, and binge drinking. Medicaid eligibility did not impact diagnoses of chronic conditions, smoking cessation, or BMI. Medicaid eligibility was associated with greater gains in health insurance, utilization, and health among married (vs unmarried) women. Conversely, women with any (vs no) dependent children experienced smaller gains in insurance following the Medicaid expansion, but greater take-up of insurance when eligibility increased and larger behavioral responses to gaining insurance.ConclusionsExpanded Medicaid coverage may improve access to and utilization of health care among women of reproductive age, which could ultimately improve preconception health.
| S-EPMC6925642 | biostudies-literature
Project description:IntroductionStates' decisions not to expand Medicaid under the Affordable Care Act (ACA) could potentially affect access to care and health status among their low-income residents.MethodsThe 2010-2012 nationally representative Medical Expenditure Panel Survey data were analyzed in 2015 to compare 9755 low-income adults aged 18-64 years from Medicaid-expanding states with 7455 adults from nonexpanding states. Multivariate logistic regression models were fitted to evaluate the differences in access to care, receipt of preventive services, quality of care, attitudes about health and self-reported health status by Medicaid expansion status. The differences in care utilization and medical expenditures between the two groups were examined using a 2-part modeling approach.ResultsCompared to their counterparts in Medicaid expansion states, low income adults in the nonexpanding states were more likely to be black and reside in rural areas and were less likely to have a usual source of care (prevalence ratio[PR] 0.86, 95% confidence interval[CI] 0.82-0.91) and recommended preventive services such as dental checkups (PR = 0.86; CI = 0.79-0.94), routine checks (PR = 0.89; CI = 0.83-0.95), flu vaccinations (PR = 0.89; CI = 0.81-0.98), and blood pressure checks (PR = 0.96; CI = 0.94-0.99). They also had less care utilization, fewer prescriptions, and less medical expenditures, but more out-of-pocket expenditures (all p-value <0.05).ConclusionsLow-income adults in Medicaid nonexpanding states, who are disproportionately represented by blacks and rural residents, were worse off for multiple health-related outcomes compared to their counterparts in Medicaid expanding states at the baseline of ACA implementation, suggesting that low income adults residing in nonexpanding states may benefit markedly from the expansion of Medicaid.
| S-EPMC4700996 | biostudies-literature
Project description:ImportanceThe extent to which changes in health sector finances impact economic outcomes among health care workers, especially lower-income workers, is not well known.ObjectiveTo assess the association between state adoption of the Affordable Care Act's Medicaid expansion-which led to substantial improvements in health care organization finances-and health care workers' annual incomes and benefits, and whether these associations varied across low- and high-wage occupations.Design, setting, and participantsDifference-in-differences analysis to assess differential changes in health care workers' economic outcomes before and after Medicaid expansion among workers in 30 states that expanded Medicaid relative to workers in 16 states that did not, by examining US individuals aged 18 through 65 years employed in the health care industry surveyed in the 2010-2019 American Community Surveys.ExposureTime-varying state-level adoption of Medicaid expansion.Main outcomes and measuresPrimary outcome was annual earned income; secondary outcomes included receipt of employer-sponsored health insurance, Medicaid, and Supplemental Nutrition Assistance Program benefits.ResultsThe sample included 1 322 263 health care workers from 2010-2019. Health care workers in expansion states were similar to those in nonexpansion states in age, sex, and educational attainment, but those in expansion states were less likely to identify as non-Hispanic Black. Medicaid expansion was associated with a 2.16% increase in annual incomes (95% CI, 0.66%-3.65%; P = .005). This effect was driven by significant increases in annual incomes among the top 2 highest-earning quintiles (β coefficient, 2.91%-3.72%), which includes registered nurses, physicians, and executives. Health care workers in lower-earning quintiles did not experience any significant changes. Medicaid expansion was associated with a 3.15 percentage point increase in the likelihood that a health care worker received Medicaid benefits (95% CI, 2.46 to 3.84; P < .001), with the largest increases among the 2 lowest-earning quintiles, which includes health aides, orderlies, and sanitation workers. There were significant decreases in employer-sponsored health insurance and increases in SNAP following Medicaid expansion.Conclusion and relevanceMedicaid expansion was associated with increases in compensation for health care workers, but only among the highest earners. These findings suggest that improvements in health care sector finances may increase economic inequality among health care workers, with implications for worker health and well-being.
| S-EPMC10900969 | biostudies-literature
Project description:Study questionAre women who fill a benzodiazepine prescription before conception at increased risk of ectopic pregnancy?Summary answerRisk of ectopic pregnancy is 50% higher among women who fill a benzodiazepine prescription before conception.What is known alreadyBenzodiazepine use in pregnancy increases the risk of miscarriage, adverse birth outcomes and adverse child development outcomes.Study design, size, durationUsing data from US commercial insurance claims, we performed a cohort study of 1 691 366 pregnancies between 1 November 2008 and 30 September 2015.Participants/materials, setting, methodsWe identified ectopic pregnancies using diagnosis and procedure codes and used unadjusted and inverse probability of treatment (IPT)-weighted log-binomial models to calculate relative risks (RR) of ectopic pregnancy for pregnant women who did and did not fill any prescriptions for benzodiazepines in the 90 days before conception. Two sub-groups of women with specific indications for benzodiazepine use were also examined-women who had a least one diagnosis for anxiety disorder and women who had at least one diagnosis of insomnia in the year before conception.Main results and the role of chanceOf the 1 691 366 pregnancies, 1.06% filled at least two benzodiazepine prescriptions totaling at least 10 days supply in the 90 days before conception. Among women with a benzodiazepine prescription, there was an excess of 80 ectopic pregnancies per 10 000 pregnancies, and their IPT-weighted risk of ectopic pregnancies was 1.47 (95% CI 1.32 to 1.63) times greater relative to women without benzodiazepine prescriptions before conception. The IPT-weighted RR between ectopic pregnancy and benzodiazepine use was 1.34 (95% CI 1.18 to 1.53) among women with anxiety disorder diagnoses and 1.28 (95% CI 0.99 to 1.68) among women with an insomnia diagnosis.Limitations, reasons for cautionWe relied on outpatient prescription data to identify benzodiazepine use before conception, which could result in over- or under-estimation of actual benzodiazepine consumption. We relied on medical claim codes to identify pregnancies and conception date, which may result in misclassification of pregnancy outcomes and gestational length.Wider implications of the findingsThis study found that women who have a benzodiazepine prescription before conception are at an increased risk of ectopic pregnancy. This information can help women, and their healthcare providers make more fully informed decisions about benzodiazepine use in their reproductive years.Study funding/competing interest(s)Funding for this project was provided by a Banting Postdoctoral Fellowship and a Stanford Maternal and Child Health Research Institute Postdoctoral Award. Data access for this project was provided by the Stanford Center for Population Health Sciences Data Core. The PHS Data Core is supported by a National Institutes of Health National Center for Advancing Translational Science Clinical and Translational Science Award (UL1 TR001085) and internal Stanford funding. The authors have no competing interest.Trial registration numberN/A.
| S-EPMC7368395 | biostudies-literature
Project description:Medicaid expansions through the Affordable Care Act began in January 2014, but we have little information about what is happening in rural areas where provider access and patient resources might be more limited. In 2008, Oregon held a lottery for restricted access to its Medicaid program for uninsured low-income adults not otherwise eligible for public coverage. The Oregon Health Insurance Experiment used this opportunity to conduct the first randomized controlled study of a public insurance expansion. This analysis builds off of previous work by comparing rural and urban survey outcomes and adds qualitative interviews with 86 rural study participants for context. We examine health care access and use, personal finances, and self-reported health. While urban and rural populations have unique demographic profiles, rural populations appear to have benefited from Medicaid as much as urban. Qualitative interviews revealed the distinctive challenges still facing low-income uninsured and newly insured rural populations.
| S-EPMC5726939 | biostudies-other
Project description:ObjectiveThe Institute of Medicine (IOM) 2009 gestational weight gain (GWG) guidelines are based on prepregnancy body mass index (BMI) categories. We intended to refine optimal GWG for each prepregnancy BMI unit in relation to the risk of small- and large-for-gestational-age (SGA and LGA) births, cesarean section (C-section) and infant death.Study designWe used data from 836,841 Ohio birth records from 2006 to 2012, and applied generalized additive models to calculate optimal GWG by prepregnancy BMI unit.ResultsThe suggested optimal GWG was generally similar to IOM 2009 GWG guidelines for prepregnancy BMIs <25 kg m-2, but higher for prepregnancy BMIs 25 to 32 kg m-2 and lower for BMIs 38 to 50 kg m-2. The suggested optimal GWG was 14 to 18.5, 13 to 17, 11.5 to 16, 8.5 to 12.5, 4 to 10, 3 to 7, 1.5 to 6 and 1.5 to 4.5 kg for prepregnancy BMIs 15, 20, 25, 30, 35, 40, 45 and 50 kg m-2, respectively.ConclusionThis research suggests that GWG recommendations may be refined at individual prepregnancy BMI levels.
| S-EPMC5389902 | biostudies-literature
Project description:OBJECTIVE:To assess the effect of the 2014 Medicaid expansion on Medicaid managed care plan quality. DATA SOURCES:Three composite measures of plan-level quality constructed from the Health Care Effectiveness Data and Information Set. STUDY SETTING:One hundred and sixty-three plans in 27 Medicaid expansion states and 100 plans in 14 nonexpansion states. STUDY DESIGN:Quasi-experimental difference-in-differences (DID) analysis, comparing quality before (2011-13) and after (2014-15) Medicaid expansion in states that elected to expand Medicaid eligibility and those that did not. PRINCIPAL FINDINGS:Mean plan enrollment increased from 130,533 to 274,259 in expansion states and from 105,449 to 148,194 in nonexpansion states. The proportion of enrollees receiving recommended preventive care increased from 62.6 to 65.2 percent in expansion states and from 59.3 to 62.5 percent in nonexpansion states (adjusted DID: -0.7 percentage points [95% CI -2.2, 0.7]). The proportion of enrollees receiving recommended chronic disease care management increased from 65.4 to 66.0 percent in expansion states and from 62.5 to 63.1 percent in nonexpansion states (adjusted DID: 1.1 percentage points [95% CI -0.5, 2.6]). We observed similar patterns for the receipt of recommended maternity care. CONCLUSIONS:Medicaid expansion increased enrollment in managed care plans, but it did not result in erosion of quality.
| S-EPMC6056574 | biostudies-literature
Project description:ObjectiveOur aim was to quantify the individual contribution of prepregnancy (PP) fat-free mass (FFM), expressed as [PP-FFM index (PP-FFMI) = FFM (kg)/height (m2)], on markers of glucose homeostasis before and during pregnancy.MethodsBody composition was assessed in 43 women before pregnancy using air-displacement plethysmography. Blood was drawn at PP and gestational weeks ∼8 and 30. Relationships between body composition (independent) variables and glucose homeostasis (dependent) variables were assessed using adjusted correlations and simple and multiple linear regression analyses.ResultsPP-FFMI was the strongest predictor of plasma insulin concentration [squared partial correlation (Pr2) = 17, P = 0.007] and homeostasis model assessment of insulin resistance (HOMA2-IR) (Pr2 = 16, P = 0.010). At gestation week 30, PP-FFMI and gestational weight gain (GWG) were the strongest predictors of insulin concentration (PP-FFMI: Pr2 = 20, P = 0.010; GWG: Pr2 = 12, P = 0.052) and HOMA2-IR (PP-FFMI: Pr2 = 19, P = 0.012; GWG: Pr2 = 13, P = 0.045). After accounting for PP fat mass index (PP-FMI), PP-FFMI and GWG were independently associated with first-phase insulin response (PP-FFMI: Pr2 = 20, P = 0.009; GWG: Pr2 = 15, P = 0.025) and second-phase insulin response (PP-FFMI: Pr2 = 19, P = 0.011; GWG: Pr2 = 17, P = 0.016). PP-FMI was the strongest predictor of an oral glucose tolerance test‒derived estimated metabolic clearance rate of glucose (PP-FMI: Pr2 = 14, P = 0.037) and estimated insulin sensitivity index (PP-FMI: Pr2 = 13, P = 0.047).ConclusionsPP-FFMI was a predictor of markers of glucose homeostasis before and during pregnancy. Studies assessing the effect of skeletal muscle quality on metabolic regulation during pregnancy are warranted.
| S-EPMC7296201 | biostudies-literature
Project description:We describe patterns of dietary caffeine consumption before and after pregnancy recognition in a cohort of women who recently gave birth. This study included 8,347 mothers of non-malformed liveborn control infants who participated in the National Birth Defects Prevention Study during 1997-2007. Maternal self-reported consumption of beverages (caffeinated coffee, tea, and soda) and chocolate the year before pregnancy was used to estimate caffeine intake. The proportions of prepregnancy caffeine consumption stratified by maternal characteristics are reported. In addition, patterns of reported change in consumption before and after pregnancy were examined by maternal and pregnancy characteristics. Adjusted prevalence ratios were estimated to assess factors most associated with change in consumption. About 97 % of mothers reported any caffeine consumption (average intake of 129.9 mg/day the year before pregnancy) and soda was the primary source of caffeine. The proportion of mothers reporting dietary caffeine intake of more than 300 mg/day was significantly increased among those who smoked cigarettes or drank alcohol. Most mothers stopped or decreased their caffeinated beverage consumption during pregnancy. Young maternal age and unintended pregnancy were associated with increases in consumption during pregnancy. Dietary caffeine consumption during pregnancy is still common in the US. A high level of caffeine intake was associated with known risk factors for adverse reproductive outcomes. Future studies may improve the maternal caffeine exposure assessment by acquiring additional information regarding the timing and amount of change in caffeine consumption after pregnancy recognition.
| S-EPMC5901698 | biostudies-literature