Abstract
OBJECTIVE:
To estimate whether methadone, buprenorphine, or detoxification treatment is the most cost-effective approach to the management of opioid use disorder during pregnancy.
METHODS:
We created a decision analytic model compared the cost effectiveness (e.g. the marginal cost of the strategy in United States dollars divided by the marginal effectiveness of the strategy, measured in quality adjusted life years) of initiation of methadone, buprenorphine, or detoxification in treatment of opioid use disorder during pregnancy. Probabilities, costs, and utilities were estimated from the existing literature. Incremental cost-effective ratios (ICER) for each strategy were calculated and a ratio of $100,000/quality adjusted life year was used to define cost effectiveness. One-way sensitivity analyses and a Monte Carlo probabilistic sensitivity analysis were performed.
RESULTS:
Under base assumptions, initiation of buprenorphine was more effective at a lower cost than either methadone or detoxification, and thus was the dominant strategy. Buprenorphine was no longer cost effective if the cost of methadone was 8% less than the base case estimate ($1,646/month) or if the overall costs of detoxification were 121% less than the base case estimate for the detoxification cost multiplier, which was used to increase the values of both inpatient and outpatient management of detoxification by a factor of 2. Monte Carlo analyses revealed that buprenorphine was the cost-effective strategy in 70.5% of the simulations. Direct comparison of buprenorphine to methadone demonstrated that buprenorphine was below the ICER in 95.1% of simulations, while direct comparison between buprenorphine and detoxification demonstrated that buprenorphine was below the ICER in 45% of simulations.
CONCLUSION:
Under most circumstances, we estimate that buprenorphine is the cost-effective strategy when compared to either methadone or detoxification as treatment for opioid use disorder during pregnancy. Nonetheless, that in almost 1/3 of simulations buprenorphine was not the most cost effective strategy suggests that the robustness of our model may be limited and that further evaluation of the most cost-effective approach to the management of opioid use disorder during pregnancy is needed.
PRÉCIS
Buprenorphine administration for pregnant women with opioid use disorder is the cost-effective management strategy when compared with methadone or detoxification.
INTRODUCTION
Opioid use disorder (OUD) is defined by the Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition, as “a cluster of cognitive, behavioral, and physiological symptoms indicating that the individual continues using the substance despite significant substance-related problems.”1 OUD during pregnancy has become a major public health issue, rising more than 4-fold over a 15-year period (1.5/1,000 deliveries in 1999 to 6.5/1,000 deliveries in 2014).1,2 From a perinatal perspective, the rise in OUD during pregnancy has been associated with a concomitant increase in the incidence of neonatal abstinence syndrome (NAS), with approximately 20,000 neonates affected yearly.3,4
Treatment of OUD during pregnancy is recommended by the American College of Obstetricians and Gynecologists (ACOG) and the Society for Maternal-Fetal Medicine (SMFM) for long-term maternal benefit, such as the reduced risk of withdrawal symptoms, recurrent opioid use, or opioid overdose.3,7–9 Although clinical protocols vary, medication-assisted treatment (MAT) during pregnancy – the approach recommended by ACOG and SMFM – typically utilizes either methadone, which is dosed daily as a directly-observed therapy at an outpatient clinic, or buprenorphine, which is dosed as a take-home medication. However, detoxification, or medically-supervised withdrawal over five days to 16 weeks with medications such as buprenorphine or clonidine, is available as an alternative in certain areas in the U.S.10–12 While case reports from the 1970s suggested that detoxification was associated with stillbirth or miscarriage, a recent systematic review demonstrated a similar frequency of stillbirth between women who did and did not undergo detoxification.13–15 Given that detoxification may significantly reduce the incidence of NAS due to reduced fetal exposure to opioids, its use has been advocated by some practitioners as a viable treatment strategy.3,16,17
To date, the most cost-effective therapy to reduce both maternal and neonatal adverse events for women with OUD during pregnancy has not been determined. This is crucial, not only to improve the health of mothers and their newborns, but also to use healthcare resources in the most efficient manner. Thus, we performed a decision analysis to investigate whether methadone, buprenorphine, or detoxification treatment is the most cost-effective approach in the management of OUD during pregnancy.
METHODS
Using a decision-tree model from a health care payor perspective, we compared three strategies to manage OUD after 16 weeks of pregnancy among a cohort of women assumed to be appropriate candidates for all three forms of non-residential OUD management: initiation of methadone, buprenorphine, or detoxification using a fourteen-day buprenorphine taper. A branch of the decision tree is displayed in Figure 1, and the format is replicated for all other treatment arms (Appendix 1).13 The decision to specifically analyze a detoxification protocol that employed a buprenorphine taper was made in conjunction with data derived from a systematic review authored by two of the co-authors of this study (A.P. and M.T.), as well as consensus from the authors of this study after discussing detoxification options with key experts in perinatal OUD across the United States.13 The decision tree cycled monthly throughout the course of pregnancy using a Markov structure, which is a method of incorporating transitions in health states (e.g. pregnancy to birth, stable methadone use to relapse) over the course of a fixed time period.18
FIGURE 1.
A schematic depicting the buprenorphine arm of the decision analysis, which is part of Appendix 1
The baseline probabilities and outcomes of each strategy were based on estimates from the literature. However, due to the limited data surrounding management strategies and outcomes of pregnant women with OUD, the decision was made to include probabilities and outcomes from both pregnant and non-pregnant participants, derived from a PubMed search using the search terms: “substance use,” “pregnancy,” “opioids,” “methadone,” “buprenorphine,” and “detoxification.” Probability and outcome estimates were pooled through the use of weighted averages, based on sample size of a given study. All reported probabilities, costs, and utilities were varied based on the upper and lower ranges reported in the literature for Monte Carlo simulations, which are used to model uncertainty within a given CEA by varying all costs, probabilities, and utilities along their predefined distributions, and univariable sensitivity analyses.19 Given the limited quality and amount of data surrounding OUD in pregnancy, the decision was made to employ a triangular distribution – approximating a log-normal distribution – for Monte Carlo simulations, as data were available to approximate the most likely value, as well as minimums and maximums.20 Probabilities that did not have multiple estimates in the literature were varied in the sensitivity analyses by 50% above and below the base estimate based on consensus of the authors that these threshold values would represent meaningful excursions (Tables 1 and 2). Monte Carlo simulations were run 100,000 times.
Table 1.
Treatment-dependent probabilities
| Variable | Probabilities per monthly cycle (with ranges used in sensitivity analysis) | ||
|---|---|---|---|
| Methadone | Buprenorphine | Detoxification | |
| Rate of relapse | 0.046 (0.0039–0.051)21,22 | 0.0829 (0.041–0.124)21* | 0.281 (0.0625–0.5)3,13 |
| Rate of overdose (fatal and nonfatal) | 0.001 (0.000045–0.003)8,26 | 0.00118 (0.000045–0.003)8,26 | 0.0314 (0.00486–0.0314)27 |
| Rate of fatal overdose | First cycle: 0.00233 (0.000975–0.007125)29,30 Subsequent cycle: 0.0015 (0.001125–0.002025)29,30 |
First cycle: 0.000675 (0.000075–0.00255)29,30 Subsequent cycle: 0.001125 (0.00075 – 0.001575)29,30 |
0.00063 (0.0001–0.01)29,56 |
| Rate of NAS among offspring of women who do not relapse | 0.51 (0.13–0.94)21,57–60 | 0.41 (0.22–0.67) 21,57–59 | 0 (0–0.094)10,12 |
Table 2.
Treatment-independent probabilities
| Variables not dependent on OUD therapy | Probabilities per monthly cycle (with ranges for sensitivity analysis) |
|---|---|
| Loss to follow-up without overdose | 0.016 (0.008–0.024)12,21,26,58,61* |
| Loss to follow-up after overdose | 0.0717 (0.056–0.126)26,62 |
| Rate of preterm birth | 0.0068–0.0709l13,31,32, dependent on gestational age |
| Rate of NAS with relapse | 0.835 (0.55–0.94)63–65 |
| Rate of miscarriage | 0.00605 (0.003025–0.0121)66* |
| Rate of neonatal death for neonates > 24w | 0.00154–0.64, dependent on gestational age67,68 |
| Rate of neonatal death in setting of NAS, > 37w | 0.000253 (0.0001265–0.0003795)57* |
NAS, neonatal abstinence syndrome
Due to limited data derived from pregnant women with OUD, these variables were varied by 50% above and below the base case estimate
We assumed that initiation of all therapies would include a three-day hospitalization for coordination of pregnancy-related services and outpatient psychiatric care. For women undergoing detoxification, we assumed that they would have outpatient follow-up after discharge with their addiction specialist every 48 hours until their 14-day buprenorphine taper was complete, and then weekly thereafter. Women receiving methadone or buprenorphine followed-up with their providers on a weekly basis. Urine toxicology screens were performed at every outpatient visit to monitor for relapse. Although “relapse” is variably defined in the literature, we defined it to occur when a urine toxicology test was positive for opioids or when a woman self-reported opioid use during pregnancy. Due to limited information regarding the incidence of preterm birth, stillbirth, and miscarriage for pregnant women with OUD who experience relapse, we did not change the base case probabilities of these three outcomes in women with relapse. However, we did assume a higher rate of NAS among women who relapsed (Tables 1 and 2).
We assumed a base case for the frequency of maternal relapse of 4.6% for methadone, 8.3% for buprenorphine, and 28.1% for detoxification.3,13,21,22 In line with the Substance Abuse and Mental Health Services Administration (SAMHSA) recommendations and expert opinion, if an individual relapses but does not overdose, they will continue with buprenorphine for an additional cycle and, if relapse reoccurs, they will transition to methadone in the next cycle.23 However, if they are lost to follow-up or overdose in a given cycle, they will automatically transition to methadone in the subsequent cycle. All individuals who relapsed in the detoxification arm transitioned to methadone in the next cycle. As part of a sensitivity analysis, we reran the model assuming a residential treatment facility, rather than community-based, location of care for all three arms of the decision tree. In a residential treatment facility, costs for housing and ongoing clinical management were incurred, which would be different from a community-based treatment location. Of note, the cost of daily methadone in a residential treatment facility is lower when compared with community-based location of care, as it does not incur the additional cost of an outpatient nurse at a methadone clinic to administer the medication as administration of methadone occurs on-site.24,25
We assumed a similar loss to outpatient follow-up in each arm, and that loss to follow up also indicated relapse. Any woman lost to follow-up was assumed to engage in treatment in the subsequent cycle; for the buprenorphine arm, women were allowed to be lost to follow-up twice before switching to methadone. The same assumption was used for women who overdosed in a given cycle. The probability of fatal and nonfatal overdose during pregnancy was estimated from data derived from non-pregnant individuals, given the dearth of pregnancy-specific information.8,13,26–30 Nonfatal maternal overdoses incurred the cost of both emergency stabilization services, along with a subsequent one-week inpatient hospitalization with (re)initiation of methadone.
Given the gestational age of women upon entry into the decision tree (e.g. 16 weeks), miscarriage or fetal loss, while rare, was imputed to more accurately model costs of each strategy. Due to the association between preterm birth and use of opioids or MAT, women in either of these Markov states were assumed to have a 35% increased incidence of preterm birth; in sensitivity analyses, this value was varied from 0% to 41%.13,31,32 We assumed all surviving neonates would be admitted to the NICU if they were born at a gestational age more than 24 weeks and less than 37 weeks. We also assumed all neonates would be admitted to the NICU for management of NAS if born at greater than 37 weeks. Due to the recent advances in management strategies for NAS, we performed a sensitivity analysis to simulate both rooming-in, or keeping the neonate with the mother 24 hours a day, versus management in the NICU. Previous studies have demonstrated that NAS managed in the NICU is associated with higher costs compared with neonates who room-in with the mother.33 For our model, rooming-in would avoid the cost and disutility associated with NICU admission (Table 3).
Table 3.
Cost estimates
| Variable | Cost (in 2017 USD, range for sensitivity analysis) |
|---|---|
| Methadone, initial month | $22,612 (22,584–23,114)25,34–37 |
| Methadone, subsequent month | $2,540–6,400, based on gestational age25 |
| Buprenorphine, initial month | $22,306 (21,088–24,014)25,34–37 |
| Buprenorphine, subsequent month | $968–5,257, based on gestational age25 |
| Detoxification, initial month | $10,366 (9,488–11,640)25,34–37,41 |
| Detoxification, subsequent month | $920–4,780, based on gestational age25,34–37,41 |
| Detoxification cost multiplier* | 2 (1–3) (consensus) |
| Cost of methadone treatment, residential, initial month | $6,354 (2,448–10,114)24,25 |
| Cost of methadone treatment, residential, subsequent month | $7,117 (2,751–11,283)24,25 |
| Cost of residential treatment, initial month | $6,968 (3,114–10,823)24,25 |
| Cost of residential treatment, subsequent month | $7,787 (3,504–12,069)24,25 |
| Medication cost of methadone outpatient (including outpatient nursing administration), per month | $1,646 (1,458–1,980)25 |
| Medication cost of buprenorphine, per month | $200 (58–558)35 |
| Maternal overdose | $40,496–41,606, based on gestational age25,34–37 |
| Birth | $3,841 (3,810–3,986)6 |
| Treatment of fetal loss/miscarriage | $1,40238 |
| NAS treatment, NICU | $19,340 (18,290–20,390)6 |
| NAS treatment, rooming in | $8,795 (5,327–14,203)33 |
| Admission to NICU < 37w | 24w-28w: $90,97839 28w-32w: $53,88039 32w-36w: $16,78039 |
NAS, neonatal abstinence syndrome; NICU, neonatal intensive care unit
Detoxification cost multiplier was used to vary the cost of inpatient and outpatient management for women undergoing detoxification
All costs were derived from the Centers for Medicaid and Medicare Services (CMS), and were converted to 2017 USD (Table 4).6,24,25,34–39 Due to lack of standardization of detoxification costs nationwide, we used data in the literature from Virginia, Florida, and Massachusetts.25,37,40,41 For the purposes of univariable sensitivity analyses, we assumed that the outpatient costs of detoxification during pregnancy would be twice those of outpatient costs outside of pregnancy, less medication costs, for both the buprenorphine and methadone arms due to limited cost data for detoxification in pregnancy, variation in reported protocols, and additional costs and monitoring that may be incurred due to limited reported experience with detoxification in pregnancy.10–13 In order to ensure that this assumption did not drive the results of the model, we varied these costs widely (from 100% to 300% of base-case estimate) in sensitivity and Monte Carlo analyses based on consensus of the authors (Table 3).
Table 4.
Utility estimates
| Variable | QALY |
|---|---|
| Initial cycle of detoxification | 0.7244 |
| Initial cycle of buprenorphine | 0.87 (0.86–0.87)45 |
| Initial cycle of methadone | 0.70 (0.70–0.75)48 |
| Maintenance in treatment, all arms | 0.92 (consensus) |
| Relapse | 0.68 (0.59–0.81)45 |
| Loss to follow-up | 0.68 (0.68–0.81)45 |
| Initial cycle of maternal overdose | 0.19 (0.09–0.29)42 |
| Maternal death | 042 |
| Preterm birth | 0.71 (0.60–0.82)42 |
| NAS | 0.92 (0.70–0.92) (consensus) |
| Admission to NICU | 0.92 (0.87–0.98)47 |
| Miscarriage | 0.90 (0.70–0.92)43 |
| Stillbirth/Neonatal death | 0.92 (0.85–0.95)46 |
| Healthy, term newborn | 1 (consensus) |
NAS, neonatal abstinence syndrome; NICU, neonatal intensive care unit
In order to quantify adverse outcomes, maternal utilities, in the form of Quality Adjusted Life Years (QALYs) were computed for each outcome. QALYs are a standardized measure for understanding improvements and decrements in quality of life, and are computed by attributing different weights to the desirability of certain health states over the course of a year.42 QALYs were derived from a maternal perspective. All utilities were derived from the existing literature or, when that was lacking, by consensus of the authors (Table 3).42–48
We assumed that an incremental cost-effectiveness ratio (ICER) of 100,000 USD/QALY defined cost effectiveness, which means that any cost greater than 100,000 USD for an additional QALY would indicate that a given strategy would not be cost effective.49 When reporting strategies, they are described as dominant, in that the strategy is both cost saving and more effective than the other strategies, or cost effective, in that the strategy does not incur greater than 100,00 USD per QALY gained.50 Outcomes evaluated in this model include maternal relapse, maternal overdose, maternal transition to methadone (if on either buprenorphine or after detoxification), maternal death, preterm delivery, NAS, and NICU admission. Costs expected to be saved by the cost-effective strategy per annum in the United States were determined by multiplying the marginal costs saved for one individual by 20,000, which is the estimated number of women in the United States per annum with OUD who have a child with NAS.4 The model extended from entry at 16 weeks gestational age through 42 weeks’ gestation, at which time all remaining subjects in the model would be delivered; due to this fact, the analytic horizon of the model only extended through the NICU stay of each neonate. Due to the limited analytic horizon of less than one year, we did not discount either costs or utilities. All analyses were performed in TreeAge (Williamstown, MA). IRB exemption was obtained from Northwestern University (STU00210552).
RESULTS
Use of buprenorphine was associated with a cost savings of 8,827 USD per person when compared to methadone, and 23,647 USD per person when compared with detoxification. Buprenorphine use resulted in higher total QALYs for a lower cost per QALY when compared to both methadone and detoxification (Table 5). These findings indicate that buprenorphine is a dominant strategy (i.e., results in lower costs and higher number of QALYs) when compared with methadone or detoxification.
Table 5.
Base case results
| Strategy | Cost per person, in 2017 USD |
Incremental cost, in 2017 USD |
Effectiveness per person, in QALYs |
Incremental effectiveness, in QALYs |
Incremental cost- effectiveness |
|---|---|---|---|---|---|
| Methadone | $61,715 | $8,827 | 9.06 | −0.23 | Dominated |
| Buprenorphine | $52,888 | ----- | 9.28 | ------ | ------ |
| Detoxification | $76,535 | $23,647 | 9.41 | 0.13 | Dominated |
QALY, quality adjusted life years
For 20,000 women, the annual cost savings associated with use of buprenorphine is 177 million USD compared with methadone and 473 million USD compared with detoxification; buprenorphine also results in 4,500 more QALYs compared with methadone, though detoxification did incur 2,600 more QALYs when compared with methadone. Approximately 75% of the QALYs accrued per strategy are derived from the maternal health state, whereas 25% of QALYs are maternal disutilities from the neonatal health state.
In the hypothetical cohort of 20,000 women, the lowest incidence of overdose occurred in the buprenorphine arm, and the highest incidence of relapse was in the detoxification arm (Table 6). For women who did not start with the methadone strategy, the incidence of needing to switch to methadone was greater in the detoxification arm when compared with buprenorphine. The frequency of admission to the NICU (22.5%, 95% CI 17.4%−23.1%) or diagnosis of NAS (19.7%, 95% CI 19.1%−20.2%) were lowest among those in the detoxification strategy. There was no difference in incidence of preterm delivery among the different arms. The incidence of relapse was highest in the detoxification arm, with approximately 0.77 relapse events per woman (95% CI 0.76–0.79) during the duration of the analysis, and lowest in the buprenorphine arm (0.28 relapse events per woman, 95% CI 0.27–0.29). In the buprenorphine arm, approximately 2,087 women relapsed twice (95% CI 2,003–2,172) and were switched to methadone. Therefore, the number of women who were treated successfully with buprenorphine, either through a single relapse event or without relapse events, is approximately 17,913 (95% CI 17,828–17,997), or 89.6% (95% CI 89.1%−90.0%) of the buprenorphine arm.
Table 6.
Events among 20,000 women
| Outcome | Event number per strategy: n( 95% CI) | ||
|---|---|---|---|
| Methadone | Buprenorphine | Detoxification | |
| Maternal relapse | 13,153 (12,633–13,676) | 5,541 (5,365–5,721) | 15,459 (15,161–15,761) |
| Overdose, fatal and nonfatal | 25 (16–35) | 9 (4–15) | 178 (152–205) |
| Preterm birth (<37 weeks) | 642 (593–691) | 642 (593–691) | 642 (593–691) |
| NAS | 9,739 (9,602–9,878) | 8,085 (7,949–8,222) | 3,930 (3,819–4,040) |
| NICU admission | 9,926 (9,789–10,065) | 8,379 (8,242–8,518) | 4,502 (3,486–4,618) |
| Switch to methadone | N/A | 2,087 (2,003–2,172) | 6,878 (6,746–7,011) |
NAS, neonatal abstinence syndrome; NICU, neonatal intensive care unit
In one-way sensitivity analyses, the large majority of alterations in 65 variable inputs resulted in no change in the conclusion – namely, that buprenorphine was the cost-effective strategy. Excursions in baseline estimates of two variables, however, resulted in buprenorphine no longer being the cost-effective strategy. Detoxification became cost effective if the assumption surrounding the increase in cost was less than 121% of the base case estimate for the detoxification cost multiplier, which was used to increase the values of both inpatient and outpatient management of detoxification by a factor of 2 (Figure 2; see Methods). Methadone became the cost-effective strategy if the monthly cost of medication administration was less than $1,514, or 8% less than the base case estimate ($1,646; Figure 3). As part of a sensitivity analysis for our model, we ran the decision tree assuming all women were part of a residential treatment program, rather than receiving community-based care, and that all neonates were roomed-in, rather than treated in the NICU. In all of the aforementioned scenarios, buprenorphine remained the cost-effective strategy.
FIGURE 2.
A graph of the one-way sensitivity analysis of the cost multiplier of detoxification against the incremental cost-effectiveness ratio
FIGURE 3.
A graph of the one-way sensitivity analysis of the monthly outpatient cost of methadone against the incremental cost-effectiveness ratio
To evaluate the robustness of our model, we performed a Monte Carlo probabilistic sensitivity analysis – sampling values across the prespecified ranges of costs, utilities, and probabilities – with 100,000 simulations. Buprenorphine was noted to be the cost-effective strategy in 70.5% of simulations, while methadone was cost-effective in 3.9% of runs and detoxification in 25.6% of simulations. Direct comparison of the ICER of buprenorphine to that of methadone demonstrated buprenorphine was below the ICER threshold in 95.1% of simulations, while direct comparison between detoxification and buprenorphine demonstrated that buprenorphine was below the ICER threshold in 45% of simulations.
DISCUSSION
Our study demonstrates that buprenorphine, under base-case circumstances, is a cost-effective strategy for management of opioid use disorder in pregnancy compared to methadone and detoxification. Indeed, variation in only two estimates – the medication cost of methadone or the cost of detoxification – resulted in other strategies becoming more cost effective. Within further sensitivity analyses, neither residential treatment nor rooming-in of neonates afflicted with NAS changed the findings of the initial analysis.
OUD during pregnancy has become one of the largest public health issues of the 21st century, generating a renewed effort to engage women in treatment for both maternal and neonatal benefit.3,7 While strategies including MAT and detoxification have been used in an effort to improve maternal health and pregnancy outcomes, the most cost-effective treatment remains uncertain. Our decision analysis attempts to fill this void in the literature by comparing all three treatment strategies in order to elucidate which one is the most cost effective. Furthermore, our data are in line with a recent systematic review performed by members of our study team (A.P. & M.T.) demonstrating the benefits of pharmacotherapy over detoxification.
It is interesting to note that buprenorphine was the cost-effective strategy even though the frequencies of NAS and NICU admission were lowest in the detoxification arm. These findings suggest that while costs and disutilities generated by NAS and NICU admission may be substantial, they are offset by other costs (such as those of detoxification treatment) and other disutilities (such as those associated with maternal relapse or overdose) in the detoxification arm.
This study has several strengths. First, the decision analysis focuses on both maternal and neonatal outcomes, rather than simply one set of outcomes, in order to generate a cost-effectiveness assessment. This fact allows the decision analysis to attend to the unique problems posed by the maternal-fetal dyad when substance use is at play during pregnancy. Second, this study is one of the few that has been performed since the beginning of the opioid epidemic in the early 2000s and incorporates up-to-date data regarding both costs and probabilities of maternal relapse and overdose, as well as NAS.51,52 Finally, our decision analysis utilizes a Markov strategy to mimic the dynamic nature of pregnancy itself, particularly as it relates to outcomes that are based on gestational age, such as risk of maternal overdose.8
Nevertheless, our study has important limitations. First, our decision analysis is predicated on the assumption that all women entering the tree were both eligible for and able to access all three forms of therapy. The conclusions, therefore, cannot be generalized to apply to women with OUD who may have comorbid conditions that may lead one particular strategy to be more clinically indicated53,54 or to women who live in regions with lack of access to any of the examined strategies.55 Although we defined reasonable approaches for any of the strategies, there is no single standard to initiation of methadone, buprenorphine, or detoxification during pregnancy.13 Due to the limited published data on detoxification costs, derived from a few states, there exists a possibility for regional variation in costs that could change the findings of our decision analysis, although given the robustness of the model in sensitivity analysis, this would only be likely at large cost excursions. Furthermore, our analytic horizon was limited to the end of a NICU stay. Extending the horizon further would have required the incorporation of assumptions that could no longer be based on available evidence. Long-term developmental outcomes of the offspring associated with each of the strategies remains unknown, and there are limited data focusing on adherence in the postpartum period for women using methadone or buprenorphine, and no data for detoxification.13 There are few data to guide our QALY estimates, and, given the limited analytic horizon of our model and narrow constraints on QALY variation within the model, our findings depend heavily on our QALY assumptions. Finally, our Monte Carlo analysis did demonstrate that buprenorphine was cost effective in 70.5% of runs and direct comparison between buprenorphine and detoxification demonstrated a lower frequency of being below the ICER threshold. These findings suggest that the robustness of our model may be limited, and further research must be performed to clarify economic costs and probability estimates in order to update this cost-effective assessment.
Supplementary Material
ACKNOWLEDGEMENTS:
The authors thank Joshua A. Barocas, M.D. from Center for Health Economics of Treatment Interventions for Substance Use Disorder, HCV, and HIV (CHERISH) for his assistance in a literature review.
Presented as an abstract at the Society for Maternal-Fetal Medicine’s 39th Annual Pregnancy Meeting, February 11–16, 2019, Las Vegas, Nevada
APPENDIX 1
A schematic of the decision tree constructed to compare methadone, buprenorphine, or detoxification in the management of perinatal opioid use disorder
Footnotes
Financial Disclosure
The authors did not report any potential conflicts of interest.
REFERENCES
- 1.American Psychiatric Association (APA). Substance-Related and Addictive Disorders Diagnostic and Statistical Manual of Mental Disorders. 5th ed Arlington, VA: American Psychiatric Association; 2013. [Google Scholar]
- 2.Haight SC, Ko JY, Tong VT, Bohm MK, Callaghan WM. Opioid Use Disorder Documented at Delivery Hospitalization-United States, 1999–2014. MMWR Morb Mortal Wkly Rep 2018;67:846–9. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3.Reddy UM, Davis JM, Ren Z, et al. Opioid Use in Pregnancy, Neonatal Abstinence Syndrome, and Childhood Outcomes: Executive Summary of a Joint Workshop by the Eunice Kennedy Shriver National Institute of Child Health and Human Development, American College of Obstetricians and Gynecologists, American Academy of Pediatrics, Society for Maternal-Fetal Medicine, Centers for Disease Control and Prevention, and the March of Dimes Foundation. Obstet Gynecol 2017;130:10–28. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4.Patrick SW, Davis MM, Lehman CU, Cooper WO. Increasing Incidence and Geographic Distribution of Neonatal Abstinence Syndrome: United States 2009–2012. J Perinatol 2015;35:650–5. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5.Tolia V, Patrick S, Bennett M, et al. Increasing Incidence of the Neonatal Abstinence Syndrome in U.S. Neonatal ICUs. N Eng J Med 2015;372:2118–26. [DOI] [PubMed] [Google Scholar]
- 6.Winkelman TNA, Villapiano N, Kozhimannil KB, Davis MM, Patrick SW. Incidence and Costs of Neonatal Abstinence Syndrome Among Infants With Medicaid: 2004–2014. Pediatrics 2018;141. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7.American College of Obstetricians and Gynecologists (ACOG). Committee Opinion No. 711: Opioid use and opioid use disorder in pregnancy. Obstet Gynecol 2017;130:e81–94. [DOI] [PubMed] [Google Scholar]
- 8.Schiff DM, Nielsen T, Terplan M, et al. Fatal and Nonfatal Overdose Among Pregnant and Postpartum Women in Massachusetts. Obstet Gynecol 2018;132:466–74. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9.Ecker J, Abuhamad A, Hill W, et al. Substance Use Disorders in Pregnancy: Clinical, Ethical, and Research Imperatives of the Opioid Epidemic: A report of a joint workshop of the Society for Maternal-Fetal Medicine, American College of Obstetricians and Gynecologists, and American Society of Addiction Medicine. Am J Obstet Gynecol 2019;. [DOI] [PubMed] [Google Scholar]
- 10.Bell J, Towers CV, Hennessy MD, Heitzman C, Smith B, Chattin K. Detoxification from opiate drugs during pregnancy. Am J Obstet Gynecol 2016;215:374.e1-.e6. [DOI] [PubMed] [Google Scholar]
- 11.Dashe JS, Jackson GL, Olscher DA, Zane EH, Wendel GD. Opioid detoxification in pregnancy. Obstet Gynecol 1998;92:854–8. [DOI] [PubMed] [Google Scholar]
- 12.Stewart RD, Nelson DB, Adhikari EH, et al. The obstetrical and neonatal impact of maternal opioid detoxification in pregnancy. Am J Obstet Gynecol 2013;209:267 e1–5. [DOI] [PubMed] [Google Scholar]
- 13.Terplan M, Laird HJ, Hand DJ, et al. Opioid Detoxification During Pregnancy: A Systematic Review. Obstet Gynecol 2018;131:803–14. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14.Rementería JL, Nunag NN. Narcotic withdrawal in pregnancy: Stillbirth incidence with a case report. Am J Obstet Gynecol 1973;116:1152–6. [DOI] [PubMed] [Google Scholar]
- 15.Zuspan FP, Gumpel JA, Mejia-Zelaya A, Madden J, Davis R. Fetal stress from methadone withdrawal. Am J Obstet Gynecol 1975;122:43–6. [DOI] [PubMed] [Google Scholar]
- 16.Towers CV, Hennessy MD. In Reply: “Detoxification from opiates during pregnancy: stressing the fetal brain”. Am J Obstet Gynecol 2016;215:670–1. [DOI] [PubMed] [Google Scholar]
- 17.Towers CV, Hennessy MD. In Reply: “Detoxification from opiates during pregnancy: additional risks”. Am J Obstet Gynecol 2017;216:80–1. [DOI] [PubMed] [Google Scholar]
- 18.Naimark D, Krahn MD, Naglie G, Redelmeier DA, Detsky AS. Primer on Medical Decision Analysis: Part 5—Working with Markov Processes. Med Decis Making 1997;17:152–9. [DOI] [PubMed] [Google Scholar]
- 19.Cost-Effectiveness in Health and Medicine. New York, NY: Oxford University Press; 1996. [Google Scholar]
- 20.Fairchild KW, Misra L, Shi Y. Using Triangular Distribution for Business and Finance Simulations in Excel. J Finan Educ 2016;42:313–36. [Google Scholar]
- 21.Jones HE, Kaltenbach K, Heil SH, et al. Neonatal Abstinence Syndrome after Methadone or Buprenorphine Exposure. The New England Journal of Medicine 2010;363:2320–31. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22.Krans EE, Bogen D, Richardson G, Park SY, Dunn SL, Day N. Factors associated with buprenorphine versus methadone use in pregnancy. Subst Abus 2016;37:550–7. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23.Substance Abuse and Mental Health Services Administration (SAMHSA). Sublingual and Transmucosal Buprenorphine for Opioid Use Disorder: Review and Update. Advisory 2016;15:1–11. [Google Scholar]
- 24.Magellan VA Medicaid/DMAS Rates. 2017. (Accessed 3 March, 2019, at https://www.magellanofvirginia.com/media/1521/10-16-17_va_medicaid_dmas_rates.pdf.)
- 25.Addiction and Recovery Treatment Services. 2017. (Accessed 8 May, 2018, at http://www.dmas.virginia.gov/Content_pgs/bh-home.aspx.)
- 26.Hutchinson SJ, Taylor A, Gruer L, Barr C, Mills C, Elliott L. One‐year follow‐up of opiate injectors treated with oral methadone in a GP‐centred programme. Addiction 2000;95:1055. [DOI] [PubMed] [Google Scholar]
- 27.Wines JD, Saitz R, Horton NJ, Lloyd-Travaglini C, Samet JH. Overdose after detoxification: A prospective study. Drug Alcohol Depend 2007;89:161. [DOI] [PubMed] [Google Scholar]
- 28.Kelty E, Hulse G. Fatal and non-fatal opioid overdose in opioid dependent patients treated with methadone, buprenorphine or implant naltrexone. Int J Drug Policy 2017;46:54–60. [DOI] [PubMed] [Google Scholar]
- 29.Larochelle MR, Bernson D, Land T, et al. Medication for opioid use disorder after nonfatal opioid overdose and association with mortality: A cohort study. Ann Intern Med 2018. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30.Sordo L, Barrio G, Bravo MJ, et al. Mortality risk during and after opioid substitution treatment: systematic review and meta-analysis of cohort studies. BMJ 2017;357. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 31.Martin JA, Hamilton BE, Osterman MJK, Driscoll AK, Drake P. Births: Final Data for 2016. Natl Vital Stat Rep 2018;67:1–55. [PubMed] [Google Scholar]
- 32.Kotelchuck M, Cheng ER, Belanoff C, et al. The Prevalence and Impact of Substance Use Disorder and Treatment on Maternal Obstetric Experiences and Birth Outcomes Among Singleton Deliveries in Massachusetts. Matern Child Health J 2017;21:893–902. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 33.MacMillan KDL, Rendon CP, Verma K, Riblet N, Washer DB, Volpe Holmes A. Association of Rooming-in With Outcomes for Neonatal Abstinence Syndrome: A Systematic Review and Meta-analysis. JAMA Pediatr 2018;172:345–51. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 34.Medicare National HCPCS Aggregate Summary Table CY2016. 2018. (Accessed 1 July, 2018, at https://data.cms.gov/Medicare-Physician-Supplier/Medicare-National-HCPCS-Aggregate-Summary-Table-CY/jtra-d83c.)
- 35.2017 ASP Drug Pricing Files. 2017. (Accessed 1 July, 2018, at https://www.cms.gov/apps/ama/license.asp?file=/Medicare/Medicare-Fee-for-Service-Part-B-Drugs/McrPartBDrugAvgSalesPrice/Downloads/2017-October-ASP-Pricing-File.zip.)
- 36.Guideline for Coverage Example Calculations-Maternity Scenario. 2017. (Accessed 1 July, 2018, at https://www.cms.gov/CCIIO/Resources/Forms-Reports-and-Other-Resources/Downloads/Having-a-baby-508-MM.pdf.)
- 37.McCollister K, Yang X, Sayed B, French MT, Leff JA, Schackman BR. Monetary conversion factors for economic evaluations of substance use disorders. J Subst Abuse Treat 2017;81:25–34. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 38.Rausch M, Lorch S, Chung K, Frederick M, Zhang J, Barnhart K. A Cost-Effectiveness Analysis of Surgical Versus Medical Management of Early Pregnancy Loss. Fertil Steril 2012;97:355–60.e1. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 39.Russell RB, Green NS, Steiner CA, et al. Cost of Hospitalization for Preterm and Low Birth Weight Infants in the United States. Pediatrics 2007;120:e1–e9. [DOI] [PubMed] [Google Scholar]
- 40.Quinn AE, Hodgkin D, Perloff JN, et al. Design and impact of bundled payment for detox and follow-up care. J Subst Abuse Treat 2017;82:113–21. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 41.Alexandre PK, Beulaygue IC, French MT, McCollister KE, Popovici I, Sayed BA. The economic cost of substance abuse treatment in the state of Florida. Evaluation Review 2012;36:167–85. [DOI] [PubMed] [Google Scholar]
- 42.Tengs TO, Wallace A. One thousand health-related quality-of-life estimates. Med Care 2000;38:583–637. [DOI] [PubMed] [Google Scholar]
- 43.Grobman WA, Dooley SL, Welshman EE, Pergament E, Calhoun EA. Preference assessment of prenatal diagnosis for Down syndrome: is 35 years a rational cutoff? Prenat Diagn 2002;22:1195–200. [DOI] [PubMed] [Google Scholar]
- 44.Polsky D, Glick HA, Yang J, Subramaniam GA, Poole SA, Woody GE. Cost-effectiveness of extended buprenorphine-naloxone treatment for opioid-dependent youth: data from a randomized trial. Addiction 2010;105:1616–24. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 45.Schackman BR, Leff JA, Polsky D, Moore BA, Fiellin DA. Cost-effectiveness of long-term outpatient buprenorphine-naloxone treatment for opioid dependence in primary care. J Gen Intern Med 2012;27. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 46.Kuppermann M, Nease RF, Learman LA, Gates E, Blumberg B, Washington AE. Procedure-related miscarriages and Down syndrome-affected births: implications for prenatal testing based on women’s preferences. Obstet Gynecol 2000;96:511–6. [DOI] [PubMed] [Google Scholar]
- 47.Carroll AE, Downs SM. Improving Decision Analyses: Parent Preferences (Utility Values) for Pediatric Health Outcomes. J Pediatr 2009;155:21. [DOI] [PubMed] [Google Scholar]
- 48.Connock M, Juarez-Garcia A, Jowett S, et al. Methadone and buprenorphine for the management of opioid dependence: a systematic review and economic evaluation. Health Technol Assess 2007;11:1–171, iii-iv. [DOI] [PubMed] [Google Scholar]
- 49.Newmann PJ, Cohen JT, Weinstein MC. Updating Cost-Effectiveness — The Curious Resilience of the $50,000-per-QALY Threshold. N Eng J Med 2014;371:796–7. [DOI] [PubMed] [Google Scholar]
- 50.Cohen DJ, Reynolds MR. Interpreting the results of cost-effectiveness studies. Journal of the American College of Cardiology 2008;52:2119–26. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 51.Fowler J, Emerson J, Allen A, et al. 124: Buprenorphine vs methadone for maintenance of opioid addiction during pregnancy: a cost-effectiveness analysis. Am J Obstet Gynecol 2013;208:S65–S6. [Google Scholar]
- 52.John CS, Savitsky LM, Fowler J, Caughey AB. 777: A cost effectiveness analysis of Buprenorphine vs. Methadone for maintenance of opioid addiction during pregnancy. Am J Obstet Gynecol 2017;216:S449. [Google Scholar]
- 53.American College of Obstetricians and Gynecologists (ACOG). Committee Opinion No. 473: Substance Abuse Reporting and Pregnancy: the Role of the Obstetrician-Gynecologist. Obstet Gynecol 2011;117:200–1. [DOI] [PubMed] [Google Scholar]
- 54.American Society of Addiction Medicine (ASAM). The National Practice Guideline For the Use of Medications in the Treatment of Addiction Involving Opioid Use. Chevy Chase, MD, 2015. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 55.Substance Use During Pregnancy. 2018. (Accessed 18 Feb, 2018, at https://www.guttmacher.org/state-policy/explore/substance-use-during-pregnancy.)
- 56.Strang J, McCambridge J, Best D, et al. Loss of tolerance and overdose mortality after inpatient opiate detoxification: follow up study. BMJ 2003;326:959–60. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 57.Cleary BJ, Donnelly JM, Strawbridge JD, et al. Methadone and perinatal outcomes: a retrospective cohort study. Am J Obstet Gynecol 2011;204:139.e1-.e9. [DOI] [PubMed] [Google Scholar]
- 58.Meyer MC, Johnston AM, Crocker AM, Heil SH. Methadone and buprenorphine for opioid dependence during pregnancy: a retrospective cohort study. J Addict Med 2015;9:81–6. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 59.Lemon LS, Caritis SN, Venkataramanan R, Platt RW, Bodnar LM. Methadone versus buprenorphine for opioid use dependence and risk of neonatal abstinence syndrome. Epidemiology 2018;29:261–8. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 60.Kocherlakota P. Neonatal abstinence syndrome. Pediatrics 2014;134:e547–61. [DOI] [PubMed] [Google Scholar]
- 61.Jones HE, Johnson RE, Jasinski DR, et al. Buprenorphine versus methadone in the treatment of pregnant opioid-dependent patients: effects on the neonatal abstinence syndrome. Drug Alcohol Depend 2005;79:1–10. [DOI] [PubMed] [Google Scholar]
- 62.Stewart D, Gossop M, Marsden J. Reductions in non-fatal overdose after drug misuse treatment: results from the National Treatment Outcome Research Study (NTORS). J Subst Abuse Treat 2002;22:1. [DOI] [PubMed] [Google Scholar]
- 63.Finnegan LP, Connaughton JF, Emich JP, Wieland WF. Comprehensive care of the pregnant addict and its effect on maternal and infant outcome. Contemporary Drug Problems 1971;1971:795. [Google Scholar]
- 64.Statzer DE, Wardell JN. Heroin addiction during pregnancy. Am J Obstet Gynecol 1972;113:273–8. [DOI] [PubMed] [Google Scholar]
- 65.McQueen K, Murphy-Oikonen J. Neonatal Abstinence Syndrome. The New England Journal of Medicine 2016;375:2468–79. [DOI] [PubMed] [Google Scholar]
- 66.MacDorman MF, Reddy UM, Silver RM. Trends in Stillbirth by Gestational Age in the United States, 2006–2012. Obstet Gynecol 2015;126:1146–50. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 67.Younge N, Goldstein RF, Bann CM, et al. Survival and Neurodevelopmental Outcomes among Periviable Infants. N Engl J Med 2017;376:617–28. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 68.Matthews TJ, MacDorman MF, Thoma ME. Infant Mortality Statistics From the 2013 Period Linked Birth/Infant Death Data Set. Natl Vital Stat Rep 2015;64:1–30. [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.



