Video Abstract

Video Abstract

Close modal
OBJECTIVE

To elicit expert consensus on quality indicators for the hospital-based care of opioid-exposed infants.

METHODS

We used the ExpertLens online platform to conduct a 3-round modified Delphi panel. Expert panelists included health care providers, parents in recovery, quality experts, and public health experts. We identified 49 candidate quality indicators from a literature review and environmental scan. A total of 32 experts rated the importance and feasibility of the indicators using a 9-point Likert scale (Round 1), reviewed and discussed the initial ratings (round 2), and revised their original ratings (Round 3). Numeric scores corresponded with descriptive ratings of “low” (1–3), “uncertain” (4–6), or “high” (7–9). We measured consensus using the RAND/UCLA Appropriateness Method.

RESULTS

Candidate quality indicators assessed structures, processes, and outcomes in multiple domains of clinical care. After the final round, 36 indicators were rated “high” on importance and feasibility. Experts had strong consensus on the importance of quality indicators to assess universal screening of pregnant people for substance use disorder, hospital staff training, standardized assessment for neonatal opioid withdrawal syndrome, nonpharmacologic interventions, and transitions of care. For indicators focused on processes and outcomes, experts saw feasibility as dependent on the information routinely documented in electronic medical records or billing records. To present a more complete picture of hospital quality, experts suggested development of composite measures that summarize quality across multiple indicators.

CONCLUSIONS

A panel of experts reached consensus on a range of quality indicators for hospital-based care of opioid-exposed infants, with potential for use in national benchmarking, intervention studies, or hospital performance measurement.

What’s Known on This Topic:

Complications of opioid use disorder in pregnancy are a growing public health challenge, yet few quality indicators exist to evaluate the care hospitals deliver to opioid-exposed infants.

What This Study Adds:

This study used an online modified Delphi process to elicit expert consensus on quality indicators for hospital-based care of opioid-exposed infants, with potential for use in national benchmarking, intervention studies, or hospital performance measurement.

Complications of opioid use disorder in pregnancy are a growing public health challenge for pregnant people and their infants.1,2 Nationwide, >25 000 infants annually are diagnosed with neonatal opioid withdrawal syndrome (NOWS), a drug withdrawal syndrome that some opioid-exposed infants experience shortly after birth.2 Opioid-exposed infants, regardless of whether they experience NOWS, have poorer outcomes compared with nonopioid-exposed infants, including longer and more complicated birth hospital stays,3,4 higher rates of hospital readmission5 and emergency department visits,6 higher rates of child welfare system involvement,7 and lower rates of recommended preventive services, such as well-child visits.8 Adverse outcomes among opioid-exposed infants vary widely across birth hospitals and states,9,10 suggesting they are modifiable.

Quality monitoring may help to reduce variation in the care and outcomes of opioid-exposed infants. Previous researchers have proposed a core outcome set specific to NOWS,11 yet there is a dearth of quality indicators broadly applicable to hospital-based care of opioid-exposed infants, regardless of whether they experience NOWS. Such metrics can be employed by hospitals and care providers for use in quality improvement programs, by insurers and policymakers for benchmarking the care provided by hospitals and other care providers, and by researchers as outcome measures for interventional studies.

Our objective was to develop hospital quality indicators for opioid-exposed infants by using a Delphi approach. Delphi panels are commonly used in health care research to elicit expert consensus regarding the clinical appropriateness of different approaches to providing care.12,13 The Delphi approach provides experts with a synthesis of the best evidence on a particular topic and asks them to use their individual and collective expertise to generate judgments. In this study, we used an online modified Delphi process to identify expert consensus on the importance and feasibility of candidate quality indicators for hospital-based care of opioid exposed infants.

Study procedures were approved as exempt by the RAND Institutional Review Board.

We recruited expert panelists from multiple stakeholder groups, including health care providers, parents in recovery, quality experts, public health experts, and policymakers, starting with member lists of professional organizations and investigator professional networks and allowing those who were contacted to suggest additional names. Participants received a $100 gift card or prepaid debit card for each of the 3 rounds completed.

To identify candidate quality indicators for panel consideration, we conducted a review of (1) measures used by hospitals in quality improvement programs for the care of opioid-exposed infants, including state perinatal collaboratives, and (2) measures used in observational cohort studies or randomized controlled trials for the effectiveness of specific treatments or therapies for the management of opioid-exposed infants. Our sources included the published literature, publicly available resources and toolkits identified in a search of state perinatal quality collaborative websites identified through the Centers for Disease Control and Prevention Division of Reproductive Health14 in August 2022, and national recommendations. We identified an initial list of 972 quality indicators, which we organized by predefined domains of clinical care, including birthing parent screening, prenatal intervention, pharmacologic treatment, nonpharmacologic treatment, toxicology testing, infant scoring, documentation and communication, transition of care, education, and provider sensitivity. Two study team members collaboratively reviewed the list, grouping overlapping indicators and removing indicators deemed highly infeasible to collect from existing data sources. Overlapping indicators were summarized to produce a final list of 49 indicators. We grouped indicators into 8 broad categories. Five categories focused on structures of care (ie, hospital policies and staff training), and 3 focused on processes and outcomes of care. We refined the consensus panel protocol through cognitive testing with 2 clinicians (an obstetrician–gynecologist and addiction medicine specialist and a pediatrician specializing in newborn care and NOWS) who were not part of the research team.

We solicited expert input on the quality indicators using ExpertLens, an online modified-Delphi platform.15 The panel consisted of 3 rounds conducted between June and July 2023, including 2 rating rounds with a discussion round in between, with each round open for 1 to 3 weeks. Participants were assigned numeric identifiers, and their identities were concealed throughout the panel. Participants were consented when they first logged into ExpertLens.

In Round 1, participants reviewed, rated, and commented on the 49 quality indicators, rating each indicator on 2 criteria: importance (How important is it to use this information as a measure of a hospital’s quality of care for an opioid-exposed infant?) and feasibility (How feasible is it to collect this information?). Participants provided ratings on a 9-point Likert scale, in which numeric scores corresponded with descriptive ratings of “low” (1–3), “uncertain” (4–6), or “high” (7–9) importance or feasibility. Participants were encouraged to provide comments to explain their ratings.

Round 2 focused on discussing the 14 indicators rated “uncertain” on importance or feasibility in Round 1. Participants reviewed bar charts showing their own responses in relation to the distribution of the group’s Round 1 responses (Supplemental Information). We asked participants to discuss Round 1 results by responding to prepopulated discussion threads or starting new threads. Based on Round 2 discussion, we revised 4 indicators before Round 3 to improve clarity and/or clinical appropriateness (Supplemental Table 2).

In Round 3, participants had the opportunity to revise their original ratings, using the same Likert scales, on the basis of the Round 2 discussion. As in Round 2, we showed only the 14 indicators initially rated “uncertain” on importance or feasibility.

We analyzed ratings of importance and feasibility for each indicator using the RAND/UCLA Appropriateness Method to determine if the panelists reached consensus,16 calculating the median score for importance or feasibility if consensus was reached. We used data visualization methods developed in previous ExpertLens studies to present the distribution of scores for each indicator.17–19 

We conducted a rapid qualitative analysis of comments and discussion threads to understand the rationale for participant ratings, grouping comments corresponding with numeric ratings of low (1–3), uncertain (4–6), or high (7–9).20–22 Two researchers reviewed and summarized the comments in each group to identify emergent themes that could explain ratings of importance and feasibility.

Of the 36 experts who agreed to participate, 32 completed at least 2 rounds, and 22 completed all 3 rounds. Most experts identified as women (78%) and non-Hispanic white (81%). The majority (69%) had a professional or doctorate degree, and 50% were health care providers (Table 1). Health care providers included physicians and advanced practice providers in neonatal–perinatal medicine, hospital pediatrics, and obstetrics and gynecology with expertise in substance-affected mothers and infants. Quality improvement and public health experts represented federal agencies, national associations, not-for-profit organizations, and state perinatal quality collaboratives addressing maternal child health, child welfare, and substance use.

TABLE 1

Participant Characteristics

Characteristicn (%)
No. of participants 32 
Gender  
 Woman 25 (78%) 
 Man 6 (19%) 
 Agender 1 (3%) 
Race and ethnicity  
 American Indian or Alaska Native 1 (3%) 
 Asian 3 (9%) 
 Black or African American 1 (3%) 
 Hispanic or Latino 
 Native Hawaiian or Other Pacific Islander 
 White 26 (81%) 
 Some other race 1 (3%) 
Highest level of education  
 Less than high school 
 High school graduate or equivalent 1 (3%) 
 Some college 3 (9%) 
 Associate degree 1 (3%) 
 Bachelor’s degree 2 (6%) 
 Master’s degree 3 (9%) 
 Professional or Doctorate degree 22 (69%) 
Stakeholder group  
 Health care provider 16 (50%) 
 Parent in recovery 6 (19%) 
 Quality expert 6 (19%) 
 Public health expert 4 (13%) 
Participation rate by round  
 Round 1 32 (100%) 
 Round 2 24 (75%) 
 Round 3 30 (94%) 
Characteristicn (%)
No. of participants 32 
Gender  
 Woman 25 (78%) 
 Man 6 (19%) 
 Agender 1 (3%) 
Race and ethnicity  
 American Indian or Alaska Native 1 (3%) 
 Asian 3 (9%) 
 Black or African American 1 (3%) 
 Hispanic or Latino 
 Native Hawaiian or Other Pacific Islander 
 White 26 (81%) 
 Some other race 1 (3%) 
Highest level of education  
 Less than high school 
 High school graduate or equivalent 1 (3%) 
 Some college 3 (9%) 
 Associate degree 1 (3%) 
 Bachelor’s degree 2 (6%) 
 Master’s degree 3 (9%) 
 Professional or Doctorate degree 22 (69%) 
Stakeholder group  
 Health care provider 16 (50%) 
 Parent in recovery 6 (19%) 
 Quality expert 6 (19%) 
 Public health expert 4 (13%) 
Participation rate by round  
 Round 1 32 (100%) 
 Round 2 24 (75%) 
 Round 3 30 (94%) 

The distribution of Round 3 ratings is shown in Fig 1. All indicators except one reached consensus. In total, 36 indicators were rated high on both importance and feasibility, and the rest were rated uncertain on importance and/or feasibility (Supplemental Table 2). Of the 14 indicators reevaluated in Round 3, one had a change in consensus decision from uncertain importance to high importance (C2).

FIGURE 1

Round 3 median ratings and interquartile ranges.

FIGURE 1

Round 3 median ratings and interquartile ranges.

Close modal

For indicators focused on structures of care, experts generally agreed it was feasible to identify the relevant information from review of hospital policies. Several experts commented that it would be less feasible to evaluate whether these policies were followed.

Hospital Policy on Screening and Toxicology Testing

Experts agreed that hospitals should have a standardized approach to screen pregnant people for substance use disorder, although some commented that parents may not disclose substance use because of stigma and fear of child welfare involvement. Opinions differed on hospital policy for toxicology testing as a quality indicator; the importance was rated “uncertain.” Some experts believed universal toxicology testing could prevent discrimination or profiling and could be beneficial to detect late-term exposures. Others commented that universal toxicology testing is not the standard of care and raises ethical issues related to the criminalization of pregnant people. Several experts raised concerns about potential negative consequences of universal toxicology testing, including discriminatory reporting to Child Protective Services, increased bias and stigma, further distrust in the health care system, and increased costs.

Round 2 discussion highlighted differences of opinion regarding an indicator to assess completion of pediatric prenatal consultations before delivery for patients with substance use disorder. Experts generally agreed that these consultations can be helpful to prepare families for delivery, although some did not think this indicator was useful to measure hospital quality. Several experts noted that consultations ideally should occur before the birth hospitalization to establish a rapport between providers and families. The indicator was revised accordingly before Round 3 (Supplemental Table 2). Although this indicator scored “high” on importance, feasibility was rated “uncertain.” Experts raised concerns that the information could be difficult to capture for patients receiving care from various prenatal clinics.

Hospital Staff Training

Experts agreed on the importance of staff training on assessment for NOWS, regular assessment of staff competencies for scoring infants at risk for drug withdrawal, and trauma-informed training. Multiple experts emphasized the importance of ongoing assessment of staff competencies to maintain consistent standards of care, including assessment of interrater reliability for scoring tools.

Hospital Policy on Infant Scoring and Assessment

Experts agreed on the importance of a standardized protocol to score opioid-exposed infants for NOWS and the use of appropriate scoring and observation periods depending on the type of pharmacologic treatment or type of exposure. In the Round 2 discussion, experts noted that infant assessment for signs of withdrawal should begin before 12 hours of life and that “assessment” is a better term than “scoring” because it encompasses non-scoring approaches, such as eat, sleep, console. The indicator was revised to reflect this feedback (“Infant assessment for signs of withdrawal begins before 12 hours of life”), resulting in a change in consensus rating from uncertain importance to high importance.

Hospital Policy on Pharmacologic Treatment for Baby

Experts agreed on the importance of a standardized NOWS scoring tool and the use of this tool to make decisions for weaning pharmacotherapy. Experts generally agreed that hospital policy should not require admission to a neonatal intensive care unit (NICU) for infants treated with pharmacotherapy.

Hospital Policy on Nonpharmacologic Approaches

Experts agreed on the importance of hospital policies such as a standardized protocol guiding use of breastmilk and supplemental formula, policies to promote skin-to-skin contact after delivery, and the use of nonpharmacologic approaches (eg, rooming-in, environmental controls) from birth to discharge. Experts generally agreed that hospitals should provide cluster care to minimize disturbance to infants. For breastfeeding, the initial indicator included information about the hospital’s baby friendly status. Experts noted many hospitals may not have the resources to obtain this designation. The indicator was revised accordingly (“Hospital has resources in place to support breastfeeding, eg, lactation support in morning and evening, availability of hospital grade pumps, supplementing with donor breastmilk”). The importance for this indicator was rated “uncertain.”

For indicators focused on processes and outcomes of care, experts saw feasibility as largely dependent on the information routinely documented in the electronic medical record (EMR) or hospital billing records. Experts generally agreed that details of pharmacologic treatment were feasible to obtain from the EMR, whereas information on nonpharmacologic approaches and transitions of care may require manual abstraction or chart review, resulting in additional administrative burden for hospitals.

Pharmacologic Treatment for Baby

Experts agreed on the importance of a quality indicator to assess whether the primary medication used to treat infant opioid withdrawal was an opioid. Several experts commented that use of a secondary medication such as clonidine or phenobarbital depends on the clinical situation and is not necessarily an indicator of quality.

Experts had differing opinions regarding an indicator to assess whether the infant was observed at least 24 hours after weaning off medications before discharge, although this indicator scored “high” on importance and feasibility. Some experts commented that continued monitoring is important to prevent readmission for continued withdrawal symptoms. Others commented that the timeframe for monitoring should be individualized depending on the type of treatment.

“Duration of pharmacotherapy” and “percent of opioid-exposed infants treated with pharmacotherapy” scored “high” on importance and feasibility, although several experts commented that these indicators are imperfect measures of quality and should be evaluated in the context of multiple other indicators. Experts noted that optimal care may reduce the duration of treatment for most infants, but longer treatment does not necessarily reflect poor quality of care. Similarly, experts commented that the percentage of opioid-exposed infants treated with pharmacotherapy may vary depending on patient acuity and location. Several experts raised concerns about unintended consequences, such as incentivizing hospitals to discharge infants before they are medically ready or keep pharmacologic treatment rates low. However, experts noted these indicators may be useful for comparison with national benchmarks.

Nonpharmacologic Approaches

Experts rated importance “high” for nonpharmacologic approaches such as provision of breastmilk, mother and infant rooming-in, social work consults, lactation consults, and provision of high-calorie formula or fortified breastmilk for infants with rapid weight loss. Experts rated the importance as “uncertain” for consultations from physical therapy, occupational therapy, and child life. Experts commented that these services are potentially helpful but not essential and not available in all hospitals. Although the feasibility of indicators for nonpharmacologic approaches was rated “high” overall, several experts commented that this information may not be documented in the EMR and would likely require chart review.

Transition of Care, Family Care Plan, and Plans of Safe Care

Experts agreed on the importance of education and referrals before discharge, such as safe sleep education and referrals to Early Intervention Services, outpatient lactation support, and infant testing for hepatitis C virus. Experts agreed on the importance of birthing parents’ receipt of a naloxone prescription before discharge, and several commented that naloxone should be dispensed before discharge. Although the feasibility of these indicators was rated “high” overall, several experts commented that information related to transitions of care may not be documented in the EMR and would likely require chart review.

Experts generally agreed that duration of the birth hospitalization in days (ie, length of stay) is a relevant, yet imperfect, indicator of quality. Although feasibility was rated “high,” the importance of this indicator was rated “uncertain.” Experts commented that although excessive pharmacologic intervention can lead to a prolonged length of stay, many factors unrelated to quality of care can also impact length of stay. Several experts raised concerns that use of this indicator as a standalone measure could incentivize hospitals to discharge infants before they are medically ready. One expert suggested measuring hospital readmissions or emergency department visits post-discharge as an alternative to length of stay.

One indicator did not reach consensus: “The infant was discharged home with their biological mother.” Experts disagreed on the importance of this indicator as a measure of hospital quality. Multiple experts commented that this decision is made by social services, and therefore hospitals cannot be held accountable.

A panel of experts reached consensus on a range of quality indicators to assess the structures, processes, and outcomes of hospital-based care for opioid-exposed infants, rating most indicators high on importance and feasibility but noting some key considerations for their use in assessing hospital quality. First, experts noted that indicators such as “hospital length of stay” may vary by factors such as patient acuity and case mix, making these indicators imperfect measures of quality. Experts also cautioned that quality indicators used as “standalone” measures of hospital performance may result in unintended consequences for clinical practice (eg, patients discharged too soon, overuse or inappropriate use of treatment), suggesting that a composite measure that summarizes quality across a range of indicators may provide a more complete picture of hospital quality. Experts also cautioned against quality measures that create a substantial administrative burden for hospitals to implement (eg, measures that require manual chart abstraction).

Expert opinions differed in some areas. For example, some experts saw potential advantages of universal toxicology testing for pregnant people, whereas others thought the negative consequences, such as increased child welfare involvement, may outweigh benefits. Several experts also commented that hospitals should not be held accountable for policies or outcomes beyond their control, such as decisions about whether infants are discharged from the hospital with their biological parents.

Much of the literature on quality of care for opioid-exposed infants focuses on pharmacologic treatment and hospital length of stay. Notably, experts had strong consensus on the importance of quality indicators to assess other aspects of care, including the universal screening of pregnant people for substance use disorder, hospital staff training, standardized assessment for NOWS, nonpharmacologic interventions, and transitions of care. Our initial search identified numerous quality indicators assessing structures of care in hospitals but fewer indicators assessing patient-level outcomes and processes of care. The limited number of process and outcome measures limits aspects of care that can be used for benchmarking hospital performance or evaluating the effectiveness of interventions. Further work is needed to evaluate the feasibility, validity, and reliability of candidate process and outcome indicators using EMR and claims data.

This study had several limitations. Like many Delphi panels, there was some attrition over the rounds that could have influenced our results. We conducted a single panel, and therefore we are unable to assess the replicability of our findings. Our participant group was relatively homogeneous with regard to demographics (eg, education, race and ethnicity) and did not include policymakers. A different group of participants (eg, fewer health care providers, more parents in recovery) may have yielded different consensus ratings. The RAND/UCLA Appropriateness Method requires responses from at least 9 participants to determine consensus within each stakeholder group; thus, we were unable to compare consensus ratings across stakeholder types.

The opioid epidemic remains a public health crisis with far reaching consequences. Continued efforts are needed to understand and improve the quality and outcomes of care for opioid-exposed infants, given the wide variation across hospitals in care practices and outcomes.9,10 The quality indicators deemed important and feasible by this panel have potential for use in national benchmarking, intervention studies, and hospital performance measurement. Continued engagement of expert stakeholders throughout the measure development process will help to ensure that quality measures are patient-centered and based on rigorous evidence.

We wish to acknowledge Ashley Martin for contributions to qualitative data analysis.

Dr Harrison contributed to development of the consensus panel protocol, coordinated and supervised data collection, analyzed the data, and drafted the initial manuscript; Dr Stein and Ms Loch contributed to development of the consensus panel protocol and supervised data collection; Drs Lorch and Patrick conceptualized and designed the study, contributed to development of the consensus panel protocol, and supervised data collection; and all authors critically reviewed and revised the manuscript, approved the final manuscript as submitted, and agree to be accountable for all aspects of the work.

FUNDING: Funded by the National Institutes of Health (NIH). Research reported in this publication was supported by the National Institute on Drug Abuse of the NIH under award R34DA054483. The content is solely the responsibility of the authors and does not necessarily represent the official views of the NIH. The NIH had no role in the design and conduct of the study.

CONFLICT OF INTEREST DISCLOSURES: The authors have indicated they have no potential conflicts of interest relevant to this article to disclose.

EMR

electronic medical record

NOWS

neonatal opioid withdrawal syndrome

1
Bruzelius
E
,
Martins
SS
.
US trends in drug overdose mortality among pregnant and postpartum persons, 2017–2020
.
JAMA
.
2022
;
328
(
21
):
2159
2161
2
Hirai
AH
,
Ko
JY
,
Owens
PL
, et al
.
Neonatal abstinence syndrome and maternal opioid-related diagnoses in the US, 2010–2017
.
JAMA
.
2021
;
325
(
2
):
146
155
3
Winkelman
TNA
,
Villapiano
N
,
Kozhimannil
KB
, et al
.
Incidence and costs of neonatal abstinence syndrome among infants with Medicaid: 2004–2014
.
Pediatrics
.
2018
;
141
(
4
):
e20173520
4
Patrick
SW
,
Schumacher
RE
,
Benneyworth
BD
, et al
.
Neonatal abstinence syndrome and associated health care expenditures: United States, 2000-2009
.
JAMA
.
2012
;
307
(
18
):
1934
1940
5
Patrick
SW
,
Burke
JF
,
Biel
TJ
, et al
.
Risk of hospital readmission among infants with neonatal abstinence syndrome
.
Hosp Pediatr
.
2015
;
5
(
10
):
513
519
6
Maalouf
FI
,
Cooper
WO
,
Slaughter
JC
, et al
.
Outpatient pharmacotherapy for neonatal abstinence syndrome
.
J Pediatr
.
2018
;
199
:
151
157.e1
7
Patrick
SW
,
Frank
RG
,
McNeer
E
,
Stein
BD
.
Improving the child welfare system to respond to the needs of substance-exposed infants
.
Hosp Pediatr
.
2019
;
9
(
8
):
651
654
8
Goyal
NK
,
Rohde
JF
,
Short
V
, et al
.
Well-child care adherence after intrauterine opioid exposure
.
Pediatrics
.
2020
;
145
(
2
):
e20191275
9
Patrick
SW
,
Schumacher
RE
,
Horbar
JD
, et al
.
Improving care for neonatal abstinence syndrome
.
Pediatrics
.
2016
;
137
(
5
):
e20153835
10
Hall
ES
,
Wexelblatt
SL
,
Crowley
M
, et al
;
OCHNAS Consortium
.
Implementation of a neonatal abstinence syndrome weaning protocol: a multicenter cohort study
.
Pediatrics
.
2015
;
136
(
4
):
e803
e810
11
Kelly
LE
,
Shan
F
,
MacVicar
S
, et al
.
A core outcome set for neonatal opioid withdrawal syndrome
.
Pediatrics
.
2020
;
146
(
1
):
e20200018
12
Khodyakov
D
,
Grant
S
,
Kroger
J
, et al
.
Disciplinary trends in the use of the Delphi method: a bibliometric analysis
.
PLoS One
.
2023
;
18
(
8
):
e0289009
13
Boulkedid
R
,
Abdoul
H
,
Loustau
M
, et al
.
Using and reporting the Delphi method for selecting healthcare quality indicators: a systematic review
.
PLoS One
.
2011
;
6
(
6
):
e20476
14
Centers for Disease Control and Prevention
. State perinatal quality collaboratives. Available at: https://www.cdc.gov/reproductivehealth/maternalinfanthealth/pqc-states.html. Accessed August 1, 2022
15
Khodyakov
D
,
Hempel
S
,
Rubenstein
L
, et al
.
Conducting online expert panels: a feasibility and experimental replicability study
.
BMC Med Res Methodol
.
2011
;
11
:
174
16
Fitch
K
,
Bernstein
SJ
,
Aguilar
MD
, et al
.
The RAND/UCLA Appropriateness Method User’s Manual
.
RAND Corporation
;
2001
17
Smart
R
,
Grant
S
.
Effectiveness and implementability of state-level naloxone access policies: expert consensus from an online modified-Delphi process
.
Int J Drug Policy
.
2021
;
98
:
103383
18
Smart
R
,
Grant
S
,
Gordon
AJ
, et al
.
Expert panel consensus on state-level policies to improve engagement and retention in treatment for opioid use disorder
.
JAMA Health Forum
.
2022
;
3
(
9
):
e223285
19
Grant
S
,
Smart
R
. ROMPER: the RAND/USC OPTIC method for policy expert ratings. Available at: https://osf.io/gb936/. Accessed September 1, 2023
20
Khodyakov
D
,
Grant
S
,
Denger
B
, et al
.
Using an online, modified Delphi approach to engage patients and caregivers in determining the patient-centeredness of Duchenne muscular dystrophy care considerations
.
Med Decis Making
.
2019
;
39
(
8
):
1019
1031
21
Khodyakov
D
,
Stockdale
SE
,
Smith
N
, et al
.
Patient engagement in the process of planning and designing outpatient care improvements at the Veterans Administration Health-care System: findings from an online expert panel
.
Health Expect
.
2017
;
20
(
1
):
130
145
22
Grant
S
,
Smart
R
.
Expert views on state-level naloxone access laws: a qualitative analysis of an online modified-Delphi process
.
Harm Reduct J
.
2022
;
19
(
1
):
64

Supplementary data