Abstract
The increasing prevalence of opioid use disorders among pregnant and postpartum women (PPW) has generated a need for greater availability of specialized programs offering evidence-based and comprehensive substance use disorder treatment services tailored to this population. In this study, we used data from the 2007 to 2018 National Survey of Substance Abuse Treatment Services to describe recent time trends and the geographic distribution of treatment facilities with specialized programs for PPW. We also compared differences in the availability of opioid agonist medication treatments (MT), key ancillary services, and health insurance acceptance between PPW Programs and Other Programs, overall and by residential and outpatient settings. We found that the prevalence of PPW Programs increased from 17% in 2007 to 23% in 2018, for a total of 3,429 PPW Programs and 11,230 Other Programs in 2018. The prevalence of PPW Programs was lowest in some states in the South and Midwest. Compared to Other Programs, PPW Programs were more likely to accept Medicaid (75% vs. 64%) and offer opioid agonist MTs methadone (24% vs. 6%), buprenorphine (44% vs. 30%), or both (18% vs. 4%). PPW Programs were also more likely to offer other key ancillary services such as childcare (16% vs. 3%), transportation (50% vs. 42%), and domestic violence assistance (51% vs. 35%). Compared to PPW Programs in outpatient settings, PPW Programs in residential settings were more likely to offer these key ancillary services but less likely to offer methadone or accept Medicaid. Our findings reflect considerable variation in the availability of PPW Programs over time and across states, as well as substantial gaps in key services offered in PPW Programs, let alone in Other Programs.
Keywords: pregnant women, opioid use disorder, substance use disorder treatment, residential, outpatient
1. Introduction
Opioid overdose deaths and rates of opioid misuse and opioid use disorder (OUD) have increased exponentially in the United States since the early 2000s (Centers for Disease Control and Prevention, 2011, 2017; McCance-Katz, 2018; Substance Abuse and Mental Health Services Administration, 2018). Rates of opioid misuse and OUD among pregnant women have also increased substantially during this time, leading to a marked growth in adverse maternal and neonatal outcomes (Maeda et al., 2014; Patrick et al., 2012; 2015; Admon et al., 2018). The rate of neonatal drug withdrawal syndrome per 1,000 hospital births increased from 1.2 in 2000 to 5.8 in 2012 (Patrick et al., 2012; 2015a). Likewise, the proportion of pregnant women with OUD or entering treatment for OUD also increased substantially (Patrick et al., 2012; Maeda et al., 2014; Short et al., 2018, Martin et al., 2015).
Opioid agonist medication treatment (MT) with methadone or buprenorphine is considered the standard of care for pregnant women with OUD (Jones et al., 2012a; 2012b; ACOG 2012; ASAM, 2017; SAMHSA 2018). MTs are associated with longer durations of maternal drug abstinence, obstetric care adherence, and improved neonatal outcomes (Jones et al., 2005; 2010; Krans et al., 2016; Jansson et al., 2017).
Treatment services for pregnant women with OUD should have a level of comprehensiveness that matches the complexity and multifaceted nature of OUD and its correlates in this population (WHO, 2014). Pregnant women with OUD often face challenging circumstances, including polysubstance use, a history of sexual abuse and domestic violence, inadequate social supports, poor nutrition, unstable housing, and co-occurring mental health disorders (SAMHSA, 2016; 2018). They also face unique challenges for initiating and remaining in treatment such as a lack of childcare and other accessibility issues, financial barriers, stigma, and even criminal prosecution (Jackson et al., 2012). Several states have criminal justice focused prenatal substance use laws that discourage pregnant women from disclosing their substance use and entering treatment (Kozhimannil et al. 2019). Additionally, while more than 50% of pregnant women who enter OUD treatment have Medicaid and 5% have private insurance, about one third are uninsured (Smith & Lipari 2017). Even among those with insurance, financial barriers might remain since key services may not be covered, substance use disorder (SUD) treatment providers may not accept insurance, and many pregnant women in states that did not expand Medicaid under the Affordable Care Act will lose Medicaid 60 days postpartum (Ranji et al., 2019; Meinhofer et al., 2018). Another important challenge is that either due to a lack of training, experience, or other factors, some providers are unwilling to treat pregnant women with OUD (Patrick et al., 2018).
For these reasons, treatment for pregnant women with OUD should be delivered in the context of specialized programs that include providers who are trained to care for this population and that offer comprehensive services along with opioid agonist MTs, including mental health care, prenatal care, childcare, housing assistance, domestic violence assistance, and other key ancillary services (Jones et al., 2008; 2014; SAMHSA, 2016; 2018). Previous work shows that pregnant women receiving treatment in specialized programs exhibit higher rates of treatment retention, illicit drug abstinence, and report fewer barriers to care (Niccols et al., 2012; Grella, 1999; Hser et al, 2011; Ashely et al., 2003).
In spite of improved outcomes of opioid agonist MT delivered along with other specialized services, a large proportion of pregnant women with OUD do not receive these services, let alone any SUD treatment. According to the 2007 to 2017 National Survey on Drug Use and Health, an estimated 37% of pregnant women with OUD received any SUD treatment in the past year and 25% received OUD-specific treatment in the past year. About 50% of pregnant women in OUD-specific treatment did not receive opioid agonist MTs (Short et al., 2018; Martin et al., 2015). Limited availability of providers may be one possible explanation for the treatment gap. The proportion of SUD treatment facilities with a specialized program for pregnant and postpartum women (PPW) has been arguably low and declined from 19% in 2002 to 15% in 2009 (Terplan et al., 2015). The proportion of SUD treatment facilities offering methadone and buprenorphine has also been low and estimated at 10% and 25% in 2016, respectively (Mojtabai et al., 2019). MT provider availability is even more limited in many areas (Andrilla et. al. 2019).
In an effort to improve service availability and treatment outcomes for PPW with substance use disorders, the Federal government has historically funded treatment in residential settings through the Substance Abuse and Mental Health Services Administration’s (SAMHSA) Services Grant Program for Residential Treatment for Pregnant and Postpartum Women. Only recently, did SAMHSA expand the grant program to fund treatment in outpatient settings. This shift may have important implications for treatment outcomes in the PPW population. Evidence suggests that residential settings result in better treatment outcomes than outpatient settings among individuals with OUD (Stahler, 2016; Grella, 1999). These findings might be partially due to differences in service availability across treatment settings.
Neither the prevalence of PPW Programs over the last decade nor the availability of treatment services in these programs are known. It is also unknown whether service availability in these programs varies by treatment setting. In this study, we used data from the 2007 to 2018 National Survey of Substance Abuse Treatment Services to describe recent time trends in the prevalence of SUD treatment facilities with PPW Programs and MTs in these programs, overall and by treatment setting. The geographic distribution of treatment facilities with PPW Programs was also described. Additionally, we compared the prevalence of MTs and other key treatment services between PPW Programs and Other Programs, overall and by treatment setting. By characterizing the availability of SUD treatment services for pregnant and postpartum women, we provide policymakers with timely information that can help identify and overcome barriers to treatment in this vulnerable population.
2. Methods
2.1. Data
We analyzed data from the 2007 to 2018 National Survey of Substance Abuse Treatment Services (N-SSATS), an annual survey of substance use disorder (SUD) treatment facilities administered by the Substance Abuse and Mental Health Services Administration (SAMHSA) (N=165,350). N-SSATS is designed to survey all specialty SUD treatment facilities in the United States, both public and private. Each year, approximately 90% of eligible facilities respond and are included in the sample. N-SSATS collects information on the services offered at these treatment facilities and the utilization of those services. Services include medication management for substance use disorder and mental health disorders, testing, and ancillary services, among others. Information on facility characteristics such as type of ownership, geographic location (i.e. state), and payer acceptance are also collected. The unit of observation in N-SSATS is a facility, defined as the physical location where treatment services are provided.
2.2. Sample
Pregnancy is defined as the period between conception and childbirth and the postpartum period is commonly defined as the six weeks after childbirth. While the N-SSATS questionnaire does not explicitly define pregnant and postpartum women (PPW), it asks SUD treatment facilities to report whether they “offer a substance abuse treatment program or group specifically tailored” to PPW and clarifies that if the “facility treats [PPW] clients but does not have a specifically tailored program or group for them” to not report offering such program or group. We used this information to identify and stratify facilities into those with specific programs or groups for pregnant and postpartum women (PPW Programs) and those without these programs or groups (Other Programs). We further stratified treatment facilities based on treatment setting, including residential and outpatient settings. Treatment setting was not mutually exclusive. In our sample, 73% of facilities offered services in outpatient settings only, 16% in residential settings only, 9% in both, and 2% in neither. When stratifying the sample by treatment setting, we identified residential settings and outpatient settings without residential services (i.e. non-residential).
2.3. Analysis
2.3.1. Time Trends in PPW Programs
Using the 2007 to 2018 N-SSATS, we examined time trends in the percentage of treatment facilities with PPW Programs, overall and by treatment setting. Time trends in the number of treatment facilities with PPW Programs and the total number of treatment facilities, overall and by treatment setting, were included in Appendix Figure A1. We also examined time trends in the percentage of treatment facilities with PPW Programs offering opioid agonist MTs methadone -measured as the number of opioid treatment programs- and buprenorphine, overall and by treatment setting.
2.3.2. Geographic Distribution of PPW Programs
Using the 2018 N-SSATS and the 2016 to 2017 National Survey on Drug Use and Health through SAMHSA’s Restricted-use Data Analysis System, we examined the geographic distribution of treatment facilities with PPW Programs across states. We did this by calculating and mapping quintiles based on the number of PPW Programs per 1,000 reproductive age women (ages 15 to 44) with a substance use disorder in the past year. This rate and the percentage of treatment facilities with PPW Programs in each state as well as underlying numerators, denominators, and other information were included in Appendix Table A1.
2.3.3. Treatment Services and Payer Acceptance at PPW Programs
Using the 2018 N-SSATS, we calculated the number and percentage of treatment facilities with PPW Programs offering key services, including medications, testing, and ancillary services, overall and by treatment setting. Since financial barriers are often reported as a reason for not seeking treatment, we also considered payer acceptance, including cash, free treatment, and different types of health insurance. Services offered and payer acceptance at Other Programs were reported for comparison.
We used Chi-square tests to compare services at PPW Programs to services at Other Programs and to compare services at residential settings to services at outpatient settings separately for PPW Programs and for Other Programs. Given the large sample size and number of hypotheses tested per comparison groups (33), we implemented a Bonferroni correction that considered a P-value lower than . 05⁄33 = 0.002 evidence against the null.
3. Results
3.1. Time Trends in PPW Programs
The top panel of Figure 1 shows that the percentage of facilities with PPW Programs increased from 17% in 2007 to 23% in 2018. The bottom panel of Figure 1 shows that while initially the percentage of residential facilities with PPW Programs was slightly higher than the percentage of outpatient facilities with PPW Programs, these differences became nearly identical after 2013.
Figure 1. Substance use disorder treatment facilities with specialized programs for pregnant and postpartum women, overall and by treatment setting.
Notes: National Survey of Substance Abuse Treatment Services, 2007–2018.
The top panel of Figure 2 shows that PPW Programs offered methadone and buprenorphine at higher rates than Other Programs and that buprenorphine availability in PPW Programs increased at a faster rate than in Other Programs over the sample period. However, the proportion of PPW Programs offering methadone declined from 29% in 2013 to 24% in 2018. The bottom panel stratifies the PPW Program sample by treatment setting and shows that residential PPW Programs offered methadone at a substantially lower rate than outpatient PPW Programs. However, buprenorphine prevalence and growth was similar regardless of setting.
Figure 2. Opioid agonist medication treatment availability in facilities with specialized programs for pregnant and postpartum women, overall and by treatment setting.
Notes: National Survey of Substance Abuse Treatment Services, 2007–2018.
3.2. Geographic Distribution of PPW Programs
There was considerable variation in the number of PPW Programs per 1,000 reproductive age women with SUD across states, ranging from 0.09 in the District of Columbia to 1.83 in Maine (see Figure 3 and Appendix Table A1). Figure 3 shows that the rate of PPW Programs was highest in Maine, Kentucky, Alaska, Idaho, Delaware, Vermont, Wyoming, West Virginia, New Mexico and New Hampshire, but lowest in many states in the South (District of Columbia, Texas, South Carolina, Arkansas, Tennessee, Louisiana, Alabama) and the Midwest (Illinois, Ohio, Missouri, Iowa, Wisconsin).
Figure 3. Geographic distribution of substance use disorder treatment facilities with specialized programs for pregnant and postpartum women per 1,000 reproductive age women with substance use disorders, by state.
Notes: National Survey of Substance Abuse Treatment Services, 2018. PPW Programs per 1,000 reproductive age women with substance use disorders in a given state were classified into quintiles (Q1 to Q5).
3.3. Treatment Services and Payer Acceptance at PPW Programs
In Table 1, we compared the availability of treatment services in PPW Programs and Other Programs. Across medications, PPW Programs were more likely to offer methadone (24% vs. 6%, 18 percentage point difference), buprenorphine (44% vs. 30%, 14 percentage point difference) or both methadone and buprenorphine (18% vs. 4%, 14 percentage point difference), but less likely to offer medications for psychiatric disorders (41% vs. 46%, −5 percentage point difference) even when PPW have a high burden of mental health conditions. PPW Programs were more likely to test for Hepatitis C (40% vs. 26%, 14 percentage point difference), HIV (39% vs. 26%, 13 percentage point difference) and STDs (31% vs. 20%, 11 percentage point difference). Likewise, PPW Programs offered several key ancillary services at substantially higher rates than Other Programs, child care (16% vs. 3%, 13 percentage point difference) and assistance with social services (72% vs. 57%, 15 percentage point difference), employment assistance (49% vs. 36%, 13 percentage point difference), housing assistance (69% vs. 50%, 19 percentage point difference), and domestic violence services (51% vs. 35%, 16 percentage point difference). Lastly, there were few meaningful differences in payer acceptance although notably, PPW Programs accepted Medicaid more often than Other Programs (75% vs. 64%, 11 percentage point difference).
Table 1.
Service availability at SUD treatment facilities with specialized programs for pregnant and postpartum women, N-SSATS 2018
PPW Programs | Other Programs | Chi-2 | |||
---|---|---|---|---|---|
N=3,429 | N=11,230 | ||||
No. | % | No. | % | P-value | |
Medications | |||||
Methadone | 833 | 24 | 677 | 6 | 0.000 |
Buprenorphine | 1508 | 44 | 3382 | 30 | 0.000 |
Meth. or Bup. | 1713 | 50 | 3594 | 32 | 0.000 |
Meth. and Bup. | 628 | 18 | 465 | 4 | 0.000 |
Naltrexone | 1058 | 31 | 3210 | 29 | 0.010 |
Disulfiram | 677 | 20 | 2180 | 19 | 0.668 |
Acamprosate | 692 | 20 | 2324 | 21 | 0.515 |
Nicotine Replacement | 968 | 28 | 3151 | 28 | 0.845 |
Psychiatric Disorders | 1415 | 41 | 5150 | 46 | 0.000 |
Testing | |||||
HCV | 1383 | 40 | 2937 | 26 | 0.000 |
HIV | 1351 | 39 | 2897 | 26 | 0.000 |
STD | 1052 | 31 | 2276 | 20 | 0.000 |
Ancillary Services | |||||
Case Management | 3075 | 90 | 9109 | 81 | 0.000 |
Social Skills | 2832 | 83 | 8316 | 74 | 0.000 |
Mentoring/Peer Support | 2230 | 65 | 6263 | 56 | 0.000 |
Child Care | 564 | 16 | 287 | 3 | 0.000 |
Beds for Clients’ Children | 300 | 9 | 73 | 1 | 0.000 |
Assist. Social Services | 2485 | 72 | 6354 | 57 | 0.000 |
Employment | 1673 | 49 | 4031 | 36 | 0.000 |
Housing Assist | 2365 | 69 | 5646 | 50 | 0.000 |
Domestic Violence | 1761 | 51 | 3881 | 35 | 0.000 |
Intervention HIV | 1198 | 35 | 2067 | 18 | 0.000 |
HIV/AIDS Edu | 2315 | 68 | 5456 | 49 | 0.000 |
Hepatitis Edu | 2177 | 63 | 4755 | 42 | 0.000 |
Health Edu | 2259 | 66 | 5332 | 47 | 0.000 |
Transportation Assistance | 1714 | 50 | 4694 | 42 | 0.000 |
Mental Health Svcs | 2339 | 68 | 7653 | 68 | 0.943 |
Self-Help Groups | 1758 | 51 | 4953 | 44 | 0.000 |
Smoking Cessation | 2007 | 59 | 5300 | 47 | 0.000 |
Payer Acceptance | |||||
Cash/self-payment | 3182 | 93 | 10048 | 90 | 0.000 |
Free Tx | 66 | 2 | 320 | 3 | 0.003 |
Medicaid | 2536 | 75 | 7127 | 64 | 0.000 |
Other Public | 2244 | 65 | 7053 | 63 | 0.005 |
Private Insurance | 2432 | 72 | 8080 | 73 | 0.219 |
Notes: National Survey of Substance Abuse Treatment Services, 2018.
In Table 2, we further stratified PPW and Other Programs by residential and outpatient settings. Across medications, residential PPW Programs were more likely than outpatient PPW Programs to offer naltrexone (39% vs. 28%, 11 percentage point difference), acamprosate (26% vs. 18%, 8 percentage point difference), nicotine replacement (52% vs. 20%, 32 percentage point difference) and medication management for psychiatric disorders (55% vs. 36%, 19 percentage point difference). There was no statistically significant difference in buprenorphine between residential and outpatient PPW Programs, and methadone was offered in 30% of outpatient settings but only in 5% of residential settings (−25 percentage point difference).
Table 2.
Services offered in treatment facilities with specialized programs for pregnant and postpartum women by treatment setting, N-SSATS 2018
PPW Programs | Other Programs | |||||||||
---|---|---|---|---|---|---|---|---|---|---|
Residential | Outpatient | Chi-2 | Residential | Outpatient | Chi-2 | |||||
N=775 | N=2,609 | N=2,663 | N=8,340 | |||||||
N | % | N | % | P-value | N | % | N | % | P-value | |
Medications | ||||||||||
Methadone | 37 | 5 | 788 | 30 | 0.000 | 95 | 4 | 541 | 6 | 0.000 |
Buprenorphine | 336 | 43 | 1142 | 44 | 0.837 | 1025 | 38 | 2219 | 27 | 0.000 |
Meth. or Bup. | 341 | 44 | 1340 | 51 | 0.000 | 1037 | 39 | 2413 | 29 | 0.000 |
Meth. and Bup. | 32 | 4 | 590 | 23 | 0.000 | 83 | 3 | 347 | 4 | 0.000 |
Naltrexone | 303 | 39 | 727 | 28 | 0.000 | 1002 | 38 | 2091 | 25 | 0.000 |
Disulfiram | 159 | 21 | 495 | 19 | 0.339 | 587 | 22 | 1495 | 18 | 0.000 |
Acamprosate | 201 | 26 | 464 | 18 | 0.000 | 678 | 25 | 1544 | 19 | 0.000 |
Nicotine Replacement | 403 | 52 | 523 | 20 | 0.000 | 1268 | 48 | 1672 | 20 | 0.000 |
Psychiatric Disorders | 428 | 55 | 946 | 36 | 0.000 | 1437 | 54 | 3510 | 42 | 0.000 |
Testing | ||||||||||
HCV | 332 | 43 | 1013 | 39 | 0.045 | 1018 | 38 | 1728 | 21 | 0.000 |
HIV | 376 | 49 | 935 | 36 | 0.000 | 1106 | 42 | 1603 | 19 | 0.000 |
STD | 268 | 35 | 746 | 29 | 0.001 | 886 | 33 | 1207 | 14 | 0.000 |
Ancillary Services | ||||||||||
Case Management | 730 | 94 | 2311 | 89 | 0.000 | 2378 | 89 | 6551 | 79 | 0.000 |
Social Skills | 730 | 94 | 2071 | 79 | 0.000 | 2306 | 87 | 5873 | 70 | 0.000 |
Mentoring/Peer Support | 658 | 85 | 1555 | 60 | 0.000 | 2099 | 79 | 4069 | 49 | 0.000 |
Child Care | 281 | 36 | 281 | 11 | 0.000 | 69 | 3 | 216 | 3 | 0.997 |
Beds for Clients’ Children | 300 | 39 | 0 | 0 | 0.000 | 73 | 3 | 0 | 0 | 0.000 |
Assist. Social Services | 679 | 88 | 1770 | 68 | 0.000 | 1817 | 68 | 4381 | 53 | 0.000 |
Employment | 496 | 64 | 1172 | 45 | 0.000 | 1386 | 52 | 2623 | 31 | 0.000 |
Housing Assist | 684 | 88 | 1654 | 63 | 0.000 | 1908 | 72 | 3638 | 44 | 0.000 |
Domestic Violence | 477 | 62 | 1266 | 49 | 0.000 | 859 | 32 | 2971 | 36 | 0.001 |
Intervention HIV | 334 | 43 | 845 | 32 | 0.000 | 785 | 29 | 1221 | 15 | 0.000 |
HIV/AIDS Edu | 616 | 79 | 1663 | 64 | 0.000 | 1764 | 66 | 3550 | 43 | 0.000 |
Hepatitis Edu | 581 | 75 | 1560 | 60 | 0.000 | 1620 | 61 | 2989 | 36 | 0.000 |
Health Edu | 620 | 80 | 1601 | 61 | 0.000 | 1795 | 67 | 3377 | 40 | 0.000 |
Transportation Assistance | 591 | 76 | 1098 | 42 | 0.000 | 1698 | 64 | 2908 | 35 | 0.000 |
Mental Health Svcs | 575 | 74 | 1725 | 66 | 0.000 | 1678 | 63 | 5803 | 70 | 0.000 |
Self-Help Groups | 679 | 88 | 1047 | 40 | 0.000 | 2207 | 83 | 2580 | 31 | 0.000 |
Smoking Cessation | 526 | 68 | 1445 | 55 | 0.000 | 1531 | 57 | 3602 | 43 | 0.000 |
Payer Acceptance | ||||||||||
Cash/self-payment | 669 | 87 | 2472 | 95 | 0.000 | 2317 | 88 | 7521 | 91 | 0.000 |
Free Tx | 32 | 4 | 34 | 1 | 0.000 | 106 | 4 | 211 | 3 | 0.000 |
Medicaid | 523 | 69 | 1971 | 76 | 0.000 | 1269 | 49 | 5657 | 69 | 0.000 |
Other Public | 469 | 61 | 1733 | 66 | 0.002 | 1338 | 50 | 5505 | 66 | 0.000 |
Private Insurance | 521 | 69 | 1867 | 72 | 0.067 | 1736 | 67 | 6131 | 74 | 0.000 |
Notes: National Survey of Substance Abuse Treatment Services, 2018.
Residential PPW Programs dominated among most categories of testing and ancillary services relative to outpatient PPW Programs. Notably, residential PPW Programs offered the highest rates of assistance with child care (36% vs. 11%, 25 percentage point difference), social services (88% vs. 68%, 20 percentage point difference), employment (64% vs. 45%, 19 percentage point difference), domestic violence (62% vs. 49%, 13 percentage point difference), housing (88% vs. 63%, 25 percentage point difference), and transportation (76% vs. 42%, 34 percentage point difference). Across payers, residential facilities were less likely to accept health insurance than outpatient facilities, including Medicaid, both in PPW and Other Programs.
4. Discussion
The increasing prevalence of opioid use disorders among pregnant and postpartum women has generated a need for identifying and overcoming barriers to SUD treatment in this population. Our study estimated the availability of SUD treatment services for pregnant and postpartum women, focusing on specialized PPW Programs, MTs, key ancillary services, and payer acceptance. Service availability and payer acceptance across residential and outpatient settings was also considered.
Overall, we found a higher and growing prevalence of treatment facilities with PPW Programs since 2009 estimates in Terplan et al., (2015) and an increasing prevalence in buprenorphine availability, especially in PPW Programs. Despite the growing prevalence of PPW Programs, there was considerable variation in the availability of these Programs across states. In particular, the availability of PPW Programs was most limited in some Southern and Midwestern states. This is concerning because previous work has shown that the rates of neonatal drug withdrawal syndrome are high in many Southern and Midwestern states (Patrick et al., 2015), that the prevalence of foster care entries for parental drug use is highest in Southern states (Meinhofer et al., 2019), that the proportion of reproductive age women who fill opioid prescriptions is highest in Southern states (Ailes et al., 2015), and that pregnant women entering treatment for OUD in Southern states are less likely to have health insurance or receive opioid agonist MT (Hand et al., 2017).
PPW Programs offered most medications, key ancillary services, and Medicaid acceptance at a higher rate than Other Programs. Nonetheless, there was still a considerable gap in MT availability in PPW Programs. Less than 45% of PPW Programs offered buprenorphine, less than 25% offered methadone, and less than 50% offered any of these MTs, both of which are considered the gold standard of care for treating pregnant women with OUD. This service gap extended to key ancillary services for the PPW population. Most notably, childcare was offered in less than 20% of PPW Programs. The low availability of childcare services may be an important barrier to PPW with OUD seeking treatment. Less than half of PPW Programs offered testing for Hepatitis C, HIV, and STDs and 25% did not accept Medicaid, the main insurer of pregnant women with OUD. Gaps in MTs and other key services for the PPW population were even more critical in Other Programs, which is concerning since Other Programs represented 77% of all specialty SUD treatment facilities in 2018 while PPW Programs only represented 23%.
When stratifying PPW Programs by residential and outpatient settings, we found substantial heterogeneity in the availability of treatment services. Residential PPW Programs tended to offer ancillary services, such as child care, employment, housing, and domestic violence assistance at significantly higher rates than outpatient PPW Programs. Perhaps most notably, only 11% of outpatient PPW Programs offered childcare services versus 36% of residential PPW Programs. However, residential PPW Programs were less likely to accept Medicaid or offer methadone than outpatient PPW Programs. The low prevalence of methadone in residential PPW Programs plausibly stems from the fact that opioid treatment programs (OTPs), the only providers licensed to administer methadone for OUD treatment, are more likely to offer both outpatient services and PPW Programs. By law, OTPs must maintain current policies and procedures that reflect the special needs of patients who are pregnant. Prenatal care and other gender specific services for pregnant patients must be provided either by the OTP or by referral to appropriate healthcare providers (42 CFR § 8.12). Buprenorphine prevalence was not significantly different between outpatient and residential PPW Programs. There was substantial heterogeneity in the availability of treatment services by setting in Other Programs as well.
Taken together, our results suggested that while the prevalence of treatment facilities with specialized PPW Programs has increased and that these Programs offered more comprehensive services relative to Other Programs, in absolute terms there were critical gaps in the availability of key services for PPW. Increasing capacity, funding, insurance coverage, and reimbursement of key services for PPW may be one way to ensure sufficient availability of such services at PPW and Other Programs. Since 2017, the State Targeted Response Grants and the State Opioid Response Grants by SAMHSA have offered opportunities to states for innovations in the area of OUD treatment among the PPW population and a number of states have used this funding to design programs for reproductive-aged women. With the passage of the FY 2019 appropriations law and the 2018 SUPPORT Act, Congress has shown commitment and support for the continuation of these grants, which would give more states opportunities to expand treatment availability for reproductive age women with OUD. Our results also suggested there were significant differences in service availability and payer acceptance between outpatient and residential PPW Programs. These differences may have important implications for treatment utilization, retention and downstream outcomes in the PPW population, especially in light of increasing federal funding for PPW treatment in outpatient settings through the State Pilot Grant Program for Treatment for Pregnant and Postpartum Women, which historically has been funded in residential settings through the Services Grant Program for Residential Treatment for Pregnant and Postpartum Women.
This study has several limitations. First, since N-SSATS does not specifically define postpartum women and assumes it to be whatever each facility considers postpartum women, there might be some inconsistencies in the definition PPW Programs across facilities. Second, our definition of PPW Programs measures whether services are offered but does not capture capacity. It is possible that facilities may have expanded the number of beds or treatment slots for PPW during 2007 to 2018. Finally, there is heterogeneity in how organizations respond to N-SSATS. Some organizations respond for individual programs within a facility, some report at the facility level, and some for multiple facilities. This may create some measurement error in our prevalence rates.
5. Conclusion
Pregnant and postpartum women with OUD face many social, structural and economic barriers to accessing treatment and recovery services. Specialized programs that offer comprehensive, integrated approaches to treatment combining clinical and social services with care coordination and trauma-informed care have been found to be most effective. Our study shows that the prevalence of such specialized programs and the availability of key services within these programs remains low. States that want to improve treatment outcomes among pregnant and postpartum women should consider designing programs especially for this population.
Highlights.
23% of treatment facilities had programs for pregnant/postpartum women (PPW)
PPW Programs offered methadone 24% and buprenorphine 44%
Childcare 16%, transportation 50%, and domestic violence 51% services were offered
Service availability was even lower in outpatient PPW Programs & Other Programs
There are significant gaps in the availability of treatment services benefiting PPW
Acknowledgments
Funding Sources: This work was supported by the National Institute of Mental Health T32MH073553.
Appendix
Figure A1. Treatment facilities with specialized programs for pregnant and postpartum women, overall and by treatment setting.
Notes: National Survey of Substance Abuse Treatment Services, 2007–2018.
Table A1.
Specialized programs for pregnant and postpartum women by state, N-SSATS 2018
Code | State | PPW No. | Birth No. | SUD No. | PPW % | PPW/Births | PPW/SUD | Quintiles |
---|---|---|---|---|---|---|---|---|
DC | DISTRICT OF COLUMBIA | 2 | 9209 | 23000 | 8 | 0.22 | 0.09 | 1 |
TX | TEXAS | 121 | 376945 | 403000 | 24 | 0.32 | 0.30 | 1 |
SC | SOUTH CAROLINA | 35 | 56662 | 101000 | 31 | 0.62 | 0.35 | 1 |
MT | MONTANA | 10 | 11509 | 26000 | 14 | 0.87 | 0.38 | 1 |
LA | LOUISIANA | 32 | 59517 | 83000 | 22 | 0.54 | 0.39 | 1 |
AR | ARKANSAS | 22 | 36996 | 55000 | 15 | 0.59 | 0.40 | 1 |
MO | MISSOURI | 42 | 73222 | 103000 | 15 | 0.57 | 0.41 | 1 |
TN | TENNESSEE | 46 | 80678 | 112000 | 21 | 0.57 | 0.41 | 1 |
OH | OHIO | 88 | 135112 | 210000 | 19 | 0.65 | 0.42 | 1 |
IL | ILLINOIS | 95 | 144787 | 225000 | 14 | 0.66 | 0.42 | 1 |
IA | IOWA | 27 | 37754 | 63000 | 16 | 0.72 | 0.43 | 1 |
NV | NEVADA | 26 | 35659 | 58000 | 32 | 0.73 | 0.45 | 2 |
WI | WISCONSIN | 48 | 64088 | 101000 | 18 | 0.75 | 0.48 | 2 |
AL | ALABAMA | 32 | 57745 | 67000 | 24 | 0.55 | 0.48 | 2 |
NY | NEW YORK | 168 | 226175 | 348000 | 19 | 0.74 | 0.48 | 2 |
MS | MISSISSIPPI | 21 | 36999 | 37000 | 21 | 0.57 | 0.57 | 2 |
WA | WASHINGTON | 86 | 86061 | 150000 | 19 | 1.00 | 0.57 | 2 |
FL | FLORIDA | 190 | 221532 | 323000 | 26 | 0.86 | 0.59 | 2 |
VA | VIRGINIA | 72 | 99787 | 117000 | 31 | 0.72 | 0.62 | 2 |
OR | OREGON | 55 | 42152 | 88000 | 24 | 1.30 | 0.63 | 2 |
MI | MICHIGAN | 106 | 109782 | 166000 | 23 | 0.97 | 0.64 | 2 |
AZ | ARIZONA | 76 | 80702 | 118000 | 19 | 0.94 | 0.64 | 2 |
IN | INDIANA | 69 | 81585 | 106000 | 19 | 0.85 | 0.65 | 3 |
GA | GEORGIA | 88 | 126152 | 135000 | 27 | 0.70 | 0.65 | 3 |
CA | CALIFORNIA | 409 | 454526 | 622000 | 27 | 0.90 | 0.66 | 3 |
PA | PENNSYLVANIA | 138 | 135551 | 205000 | 24 | 1.02 | 0.67 | 3 |
KS | KANSAS | 38 | 36257 | 55000 | 21 | 1.05 | 0.69 | 3 |
CT | CONNECTICUT | 48 | 34723 | 69000 | 22 | 1.38 | 0.70 | 3 |
SD | SOUTH DAKOTA | 12 | 11889 | 17000 | 20 | 1.01 | 0.71 | 3 |
NE | NEBRASKA | 23 | 25416 | 32000 | 19 | 0.90 | 0.72 | 3 |
OK | OKLAHOMA | 54 | 49792 | 70000 | 27 | 1.08 | 0.77 | 3 |
RI | RHODE ISLAND | 19 | 10506 | 24000 | 34 | 1.81 | 0.79 | 4 |
MN | MINNESOTA | 66 | 67327 | 82000 | 18 | 0.98 | 0.80 | 4 |
ND | NORTH DAKOTA | 13 | 10636 | 16000 | 17 | 1.22 | 0.81 | 4 |
CO | COLORADO | 107 | 62873 | 127000 | 26 | 1.70 | 0.84 | 4 |
NJ | NEW JERSEY | 117 | 101313 | 131000 | 32 | 1.15 | 0.89 | 4 |
MA | MASSACHUSETTS | 139 | 69133 | 150000 | 34 | 2.01 | 0.93 | 4 |
UT | UTAH | 57 | 47210 | 60000 | 21 | 1.21 | 0.95 | 4 |
MD | MARYLAND | 112 | 71080 | 113000 | 27 | 1.58 | 0.99 | 4 |
NC | NORTH CAROLINA | 140 | 118930 | 141000 | 27 | 1.18 | 0.99 | 4 |
HI | HAWAII | 23 | 16964 | 23000 | 14 | 1.36 | 1.00 | 4 |
NH | NEW HAMPSHIRE | 26 | 11992 | 25000 | 36 | 2.17 | 1.04 | 5 |
NM | NEW MEXICO | 43 | 23007 | 41000 | 31 | 1.87 | 1.05 | 5 |
WV | WEST VIRGINIA | 24 | 18110 | 21000 | 22 | 1.33 | 1.14 | 5 |
WY | WYOMING | 12 | 6557 | 10000 | 23 | 1.83 | 1.20 | 5 |
VT | VERMONT | 19 | 5431 | 15000 | 41 | 3.50 | 1.27 | 5 |
DE | DELAWARE | 18 | 10615 | 14000 | 45 | 1.70 | 1.29 | 5 |
ID | IDAHO | 41 | 21398 | 31000 | 31 | 1.92 | 1.32 | 5 |
AK | ALASKA | 19 | 10076 | 13000 | 21 | 1.89 | 1.46 | 5 |
KY | KENTUCKY | 111 | 53806 | 64000 | 27 | 2.06 | 1.73 | 5 |
ME | MAINE | 44 | 12308 | 24000 | 24 | 3.57 | 1.83 | 5 |
Footnotes
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