Piloting racial bias training for hospital emergency department providers treating patients with opioid use disorder.

Racial disparities in opioid overdose have increased in recent years. Several studies have linked these disparities to health care providers' inequitable delivery of opioid use disorder (OUD) services. In response, health care policymakers and systems have designed new programs to improve equitable OUD care delivery. Racial bias training has been 1 commonly utilized program. Racial bias training educates providers about the existence of racial disparities in the treatment of people who use drugs and the role of implicit bias. Our study evaluates a pilot racial bias training delivered to 25 hospital emergency providers treating patients with OUDs in 2 hospitals in Detroit, Michigan. We conducted a 3-part survey, including a baseline assessment, post-training assessment, and a 2-month follow-up to evaluate the acceptability and feasibility of scaling the racial bias training to larger audiences. We also investigate preliminary data on changes in self-awareness of implicit bias, knowledge of training content, and equity in care delivery to patients with OUD. Using qualitative survey response data, we found that training participants were satisfied with the content and quality of the training and especially valued the small-group discussions, motivational interviewing, and historical context.

Association between high-threshold practices and buprenorphine treatment termination.

BACKGROUND: Regular counseling and frequent drug testing are common requirements for patients with opioid use disorder in buprenorphine treatment. State policies throughout the United States often reinforce these high-threshold practices, as was the case with Michigan, USA. METHODS: We sought to explore the association between counseling requirements, drug testing practices, and buprenorphine treatment termination rates through administering a survey to buprenorphine prescribers in Michigan. RESULTS: In our sample of 377 prescribers, we found associations between high-threshold practices like drug testing at every clinical visit and requiring counseling and buprenorphine treatment termination rates. Relative to prescribers who randomly drug tested, drug tested at fixed intervals, or did not require any drug testing, prescribers who drug-tested patients at every visit were 38% more likely to terminate treatment. Prescribers who required counseling were 33% more likely to terminate treatment than those who did not require counseling. CONCLUSION: With the elimination of the USA Drug Enforcement Administration X-waiver in December 2022, state policies need to minimize high-threshold practices that reduce buprenorphine treatment continuity and undermine an effective response to the overdose crisis.

Characteristics and engagement among English-language online forums for addiction recovery available in the US.

In developing public resources for the Networks Enhancing Addiction Recovery - Forum Activity Roadmap (NEAR-FAR), we completed a systematic observational study of English-language online forums related to recovery from alcohol or other drug addiction in late 2021. Among 207 identified forums, the majority were classified as "general addiction" or alcohol-focused, though classifications related to other substances were common on websites hosting multiple forums. Commonly used social media platforms such as Reddit, Facebook, or Quora offered easily accessible venues for individuals seeking online support related to a variety of substances. Forums were related to established recovery programs such as 12-step and SMART Recovery as well as other nonprofit and for-profit recovery programs, and to community forums without formal recovery programming. Among 148 forums with any observed user activity, the median time between unique user engagements was 27 days (inter-quartile range: 2-74). Among 98 forums with past-month posting activity, we found a median of <10 posts per week (inter-quartile range: 1-78). This study compares three metrics of observed forum activity (posts per week, responses per post, time between unique user engagements) and operationalizes forum characteristics that may potentiate opportunities for enhanced engagement and social support in addiction recovery.

Achieving the Potential of Naloxone Saturation by Measuring Distribution.

This Viewpoint advocates for improved strategies to measure naloxone distribution and evaluate how effectively naloxone reaches people most likely to experience or witness an opioid overdose.

Association Between Hospital Adoption of an Emergency Department Treatment Pathway for Opioid Use Disorder and Patient Initiation of Buprenorphine After Discharge.

Importance: Emergency department (ED)-based initiation of buprenorphine has been shown to increase engagement in outpatient treatment and reduce the risk of subsequent opioid overdose; however, rates of buprenorphine treatment in the ED and follow-up care for opioid use disorder (OUD) remain low in the US. The Opioid Hospital Quality Improvement Program (O-HQIP), a statewide financial incentive program designed to increase engagement in OUD treatment for Medicaid-enrolled patients who have ED encounters, has the potential to increase ED-initiated buprenorphine treatment. Objective: To evaluate the association between hospitals attesting to an ED buprenorphine treatment O-HQIP pathway and patients' subsequent initiation of buprenorphine treatment. Design, Setting, and Participants: This cohort study included Pennsylvania patients aged 18 to 64 years with continuous Medicaid enrollment 6 months before their OUD ED encounter and at least 30 days after discharge between January 1, 2016, and December 31, 2020. Patients with a claim for medication for OUD 6 months before their index encounter were excluded. Exposures: Hospital implementation of an ED buprenorphine treatment O-HQIP pathway. Main Outcomes and Measures: The main outcome was patients' receipt of buprenorphine within 30 days of their index OUD ED visit. Between August 2021 and January 2023, data were analyzed using a difference-in-differences method to evaluate the association between hospitals' O-HQIP attestation status and patients' treatment with buprenorphine after ED discharge. Results: The analysis included 17 428 Medicaid-enrolled patients (female, 43.4%; male, 56.6%; mean [SD] age, 37.4 [10.8] years; Black, 17.5%; Hispanic, 7.9%; White, 71.6%; other race or ethnicity, 3.0%) with OUD seen at O-HQIP-attesting or non-O-HQIP-attesting hospital EDs. The rate of prescription fills for buprenorphine within 30 days of an OUD ED discharge in the O-HQIP attestation hospitals before the O-HQIP intervention was 5%. The O-HQIP attestation was associated with a statistically significant increase (2.6 percentage points) in prescription fills for buprenorphine within 30 days of an OUD ED discharge (ß, 0.026; 95% CI, 0.005-0.047). Conclusions and Relevance: In this cohort study, the O-HQIP was associated with an increased initiation of buprenorphine in patients with OUD presenting to the ED. These findings suggest that statewide incentive programs may effectively improve outcomes for patients with OUD.

Opioid treatment program safety measures during the COVID-19 pandemic: a statewide survey.

BACKGROUND: Opioid treatment programs (OTPs) serve as daily essential services for people with opioid use disorder. This study seeks to identify modifications to operations and adoption of safety measures at Pennsylvania OTPs during the COVID-19 pandemic. METHODS: A 25-min online survey to clinical and administrative directors at all 103 state-licensed OTPs in Pennsylvania was fielded from September to November 2020. Survey domains included: 1) changes to services, client volume, hours and staffing during the COVID-19 pandemic 2) types of services modifications 3) safety protocols to reduce COVID-19 transmission 4) challenges to operations during the pandemic. RESULTS: Forty-seven directors responded, for a response rate of 45%. Almost all respondents reported making some service modification (96%, n = 43). Almost half (47%, n = 21) of respondents reported reductions in the number of clients served. OTPs were more likely to adopt safety protocols that did not require significant funding, such as limiting the number of people entering the site (100%, n = 44), posting COVID-safety information (100%, n = 44), enforcing social distancing (98%, n = 43), and increasing sanitation (100%, n = 44). Only 34% (n = 14) of OTPS provided N95 masks to most or all staff. Respondents reported that staff's stress and negative mental health (86%, n = 38) and staff caregiving responsibilities (84%, n = 37) during the pandemic were challenges to maintaining OTP operations. CONCLUSION: OTPs faced numerous challenges to operations and adoption of safety measures during the COVID-19 pandemic. Funding mechanisms and interventions to improve adoption of safety protocols, staff mental health as well as research on patient experiences and preferences can inform further OTP adaptation to the COVID-19 pandemic and future emergency planning.

Shifting Medication Treatment Practices in the COVID-19 Pandemic: A Statewide Survey of Pennsylvania Opioid Treatment Programs.

OBJECTIVES: We sought to understand how opioid treatment programs (OTPs) adapted OTP operations to the COVID-19 pandemic and new federal regulations around methadone and buprenorphine. METHODS: In fall 2020, we conducted an online survey of all 103 OTPs licensed by the Pennsylvania Department of Drug and Alcohol Programs, including clinical directors. Survey domains included changes to methadone take-home and telehealth practices; overdose and diversion prevention tactics; perceptions regarding how such changes influence patient well-being; and financial/operational concerns related to the new policies and practices. We calculated descriptive statistics and conducted Chi-square test to test for differences between not-for-profit versus for-profit and large versus small OTPs. RESULTS: Forty-seven percent (46%) OTPs responded to the survey. 10% and 25%, respectively, endorsed offering telephone and video-based telemedicine buprenorphine induction. Sixty-six percent endorsed extending take-home supplies of methadone, but most indicated that these extensions applied to a minority of their patients. Most respondents agreed that provision of buprenorphine via telehealth and extended take-home methadone reduced patient burden in accessing medications and prevented exposure to COVID-19, while not significantly increasing risk of overdose. We did not find major differences in COVID-19 practice modifications by nonprofit status or size of OTP. CONCLUSIONS: In Pennsylvania, the COVID-19 pandemic led to rapid changes in provision of opioid treatment services. Findings on relatively low uptake of longer methadone take-home regimens and virtual buprenorphine initiation despite general support for these practices imply a need to further develop guidelines for best clinical practices and understand/address barriers to their implementation.

Implementation of buprenorphine initiation and warm handoff protocols in emergency departments: A qualitative study of Pennsylvania hospitals.

BACKGROUND: Emergency departments (ED) are a critical touchpoint for patients with opioid use disorder (OUD). In 2019, Pennsylvania had the fifth highest drug overdose mortality rate in the United States. State efforts have focused on implementing evidence-based ED care protocols, including induction of buprenorphine and warm handoffs to community treatment. OBJECTIVE: We examined hospital staff's perspectives on the processes, challenges, and facilitators to buprenorphine initiation and warm handoff protocols in the ED. METHODS: We used a qualitative case study design to focus on six Pennsylvania hospitals. The study selected hospitals using purposive sampling to capture varying hospital size, rurality, teaching status, and phase of protocol implementation. The study staff interviewed hospital staff with key roles in OUD care delivery in the ED, which included administrators, physicians, nurses, recovery support professionals, care coordinators, a social worker, and a pharmacist. Guided by the Consolidated Framework for Implementation Research (CFIR), we conducted semi-structured virtual interviews with 21 key informants from June to November 2020. Interviews were transcribed, deductively coded, and analyzed using CFIR domains and constructs to summarize factors influencing implementation of OUD ED care protocols and warm handoff to care protocols, as well as suggestions that emerged between and across cases. RESULTS: Despite variation in the local context between hospitals, we identified common themes that influenced buprenorphine and warm handoffs across sites. Attention to hospital OUD care through state-level initiatives like the Hospital Quality Improvement Program generated hospital leadership buy-in toward implementing best OUD care practices. Factors at the hospital-level that influenced implementation success included supporting interdisciplinary OUD care champions, addressing knowledge gaps and biases around patients with OUD, having data systems that capture OUD care and integrate clinical protocols, incorporating patient comorbidities and non-medical needs into care, and fostering community provider linkages and capacity for warm handoffs. Although themes were largely consistent among hospital and staff types, protocol implementation was tailored by each hospital's size, patient volume, and hospital and community resources. CONCLUSIONS: By understanding frontline staff's perspectives around factors that impact OUD care practices in the ED, stakeholders may better optimize implementation efforts.

Racial inequity in medication treatment for opioid use disorder: Exploring potential facilitators and barriers to use.

BACKGROUND: Despite evidence that individuals with opioid use disorder (OUD) have a lower risk of mortality when using evidence-based medications for OUD (MOUD), only 20 % of people with OUD receive MOUD. Black patients are significantly less likely than White patients to initiate MOUD. We measured the association between various facilitators and barriers to initiation, including criminal justice, human services, and health care factors, and variation in initiation of MOUD by race. METHODS: We used data from a comprehensive, linked data set of health care, human services, and criminal justice programs from Allegheny County in Western Pennsylvania to measure disparities in MOUD initiation by race in the first 180 days after an OUD diagnosis, as well as mediation by potential facilitators and barriers to treatment, among Medicaid enrollees. This is a cross-sectional analysis. RESULTS: Among 6374 Medicaid enrollees who met study criteria, Black enrollees were 18.2 percentage points less likely than White enrollees to start MOUD after controlling for gender, age, and Medicaid eligibility (95 % CI: -21.5 % - -14.8 %). Each day in the emergency department or county jail was associated with a decrease in the likelihood of initiation, as was the presence of a non-OUD substance use disorder diagnosis or participation in intensive non-MOUD treatment. Mediators accounted for approximately one-fifth of the variation in initiation related to race. CONCLUSIONS: Acute care facilities and settings in which people with OUD are incarcerated may have an opportunity to increase the use of MOUD overall and close the racial gap in initiation.

A rapid-cycle assessment strategy for understanding the opioid overdose epidemic in local communities.

Background: Certain communities in the United States experience greater opioid-involved overdose mortality than others. Interventions to stem overdose benefit from contextual understandings of communities' needs and strengths in addressing the opioid crisis. This project aims to understand multiple stakeholder perspectives on the opioid epidemic in communities disproportionately affected by opioid-involved overdose mortality. Methods: We performed a rapid-cycle qualitative assessment study utilizing in-depth interviews with community stakeholders and observations of community meetings in eight communities in Allegheny County, Pennsylvania, USA, disproportionately impacted by opioid-involved overdose mortality. Stakeholder categories included: current and past illicit users of opioids; medical and social service providers; emergency medical services; law enforcement; spouse or other family members of illicit users/former users of opioids; government officials; school officials; community members. Content analysis was utilized to identify themes and answer study questions. Regular feedback to stakeholders was provided to support targeted interventions. Results: We performed semi-structured, in-depth interviews with 130 community stakeholders and 29 community meeting observations in 2018-2019. Participants perceived similar economic and social determinants as origins of the opioid overdose epidemic including lack of economic resources, loss of jobs, transient populations and dilapidated housing. However, they differed in their awareness of and attention to the epidemic. Awareness was dependent on the visibility of opioid use (presence of paraphernalia litter, location of drug users, media coverage, and relationship to users). Overall, there was good knowledge of naloxone for opioid overdose reversal but less knowledge about local syringe services programs. Perceptions of harm reduction efforts were ambivalent. Conclusions: Members of communities impacted by the opioid epidemic perceived that economic downturn was a major factor in the opioid overdose epidemic. However, the varied beliefs within and between communities suggest that interventions need to be tailored according to the cultural norms of place.

Integrating human services and criminal justice data with claims data to predict risk of opioid overdose among Medicaid beneficiaries: A machine-learning approach.

Health system data incompletely capture the social risk factors for drug overdose. This study aimed to improve the accuracy of a machine-learning algorithm to predict opioid overdose risk by integrating human services and criminal justice data with health claims data to capture the social determinants of overdose risk. This prognostic study included Medicaid beneficiaries (n = 237,259) in Allegheny County, Pennsylvania enrolled between 2015 and 2018, randomly divided into training, testing, and validation samples. We measured 290 potential predictors (239 derived from Medicaid claims data) in 30-day periods, beginning with the first observed Medicaid enrollment date during the study period. Using a gradient boosting machine, we predicted a composite outcome (i.e., fatal or nonfatal opioid overdose constructed using medical examiner and claims data) in the subsequent month. We compared prediction performance between a Medicaid claims only model to one integrating human services and criminal justice data with Medicaid claims (i.e., integrated model) using several metrics (e.g., C-statistic, number needed to evaluate [NNE] to identify one overdose). Beneficiaries were stratified into risk-score decile subgroups. The samples (training = 79,087, testing = 79,086, validation = 79,086) had similar characteristics (age = 38±18 years, female = 56%, white = 48%, having at least one overdose = 1.7% during study period). Using the validation sample, the integrated model slightly improved on the Medicaid claims only model (C-statistic = 0.885; 95%CI = 0.877-0.892 vs. C-statistic = 0.871; 95%CI = 0.863-0.878), with small corresponding improvements in the NNE and positive predictive value. Nine of the top 30 most important predictors in the integrated model were human services and criminal justice variables. Using the integrated model, approximately 70% of individuals with overdoses were members of the top risk decile (overdose rates in the subsequent month = 47/10,000 beneficiaries). Few individuals in the bottom 9 deciles had overdose episodes (0-12/10,000). Machine-learning algorithms integrating claims and social service and criminal justice data modestly improved opioid overdose prediction among Medicaid beneficiaries for a large U.S. county heavily affected by the opioid crisis.

Development of a Synthetic Population Model for Assessing Excess Risk for Cardiovascular Disease Death.

Importance: Evaluating the association of social determinants of health with chronic diseases at the population level requires access to individual-level factors associated with disease, which are rarely available for large populations. Synthetic populations are a possible alternative for this purpose. Objective: To construct and validate a synthetic population that statistically mimics the characteristics and spatial disease distribution of a real population, using real and synthetic data. Design, Setting, and Participants: This population-based decision analytical model used data for Allegheny County, Pennsylvania, collected from January 2015 to December 2016, to build a semisynthetic population based on the synthetic population used by the modeling and simulation platform FRED (A Framework for Reconstructing Epidemiological Dynamics). Disease status was assigned to this population using health insurer claims data from the 3 major insurance providers in the county or from the National Health and Nutrition Examination Survey. Biological, social, and other variables were also obtained from the National Health Interview Survey, Allegheny County, and public databases. Data analysis was performed from November 2016 to February 2020. Exposures: Risk of cardiovascular disease (CVD) death. Main Outcomes and Measures: Difference between expected and observed CVD death risk. A validated risk equation was used to estimate CVD death risk. Results: The synthetic population comprised 1 188 112 individuals with demographic characteristics similar to those of the 2010 census population in the same county. In the synthetic population, the mean (SD) age was 40.6 (23.3) years, and 622 997 were female individuals (52.4%). Mean (SD) observed 4-year rate of excess CVD death risk at the census tract level was -40 (523) per 100 000 persons. The correlation of social determinant data with difference between expected and observed CVD death risk indicated that income- and education-based social determinants were associated with risk. Estimating improved social determinants of health and biological factors associated with disease did not entirely remove the excess in CVD death rates. That is, a 20% improvement in the most significant determinants still resulted in 105 census tracts with excess CVD death risk, which represented 24% of the county population. Conclusions and Relevance: The results of this study suggest that creating a geographically explicit synthetic population from real and synthetic data is feasible and that synthetic populations are useful for modeling disease in large populations and for estimating the outcome of interventions.

Calculating the incidence rate of sibling bereavement among children and adolescents across the United States: A proposed method.

This study proposes a method for calculating the annual incidence rate of sibling bereavement among US youth using national epidemiological data. The proposed model combines data on family household size with national death statistics to calculate the number of siblings affected by the death of a child annually. From 2012 to 2015, an average of 61,389 children per year experienced the death of a sibling, resulting in an estimate of 0.0832% of children bereaved by the death of a sibling annually. Data indicate a need for greater awareness and dialog concerning the frequency with which children experience the death of a sibling.

Trajectories of prescription opioids filled over time.

We performed a retrospective cohort study that aimed to identify one or more groups that followed a pattern of chronic, high prescription use and quantify individuals' time-dependent probabilities of belonging to a high-utilizer group. We analyzed data from 52,456 adults age 18-45 who enrolled in Medicaid from 2009-2017 in Allegheny County, Pennsylvania who filled at least one prescription for an opioid analgesic. We used group-based trajectory modeling to identify groups of individuals with distinct patterns of prescription opioid use over time. We found the population to be comprised of three distinct trajectory groups. The first group comprised 83% of the population and filled few, if any, opioid prescriptions after their index prescription. The second group (12%) initially filled an average of one prescription per month, but declined over two years to near-zero. The third group (6%) demonstrated sustained high opioid prescriptions utilization. Using individual patients' posterior probability of membership in the high utilization group, which can be updated iteratively over time as new information become available, we defined a sensitive threshold predictive of sustained future opioid utilization. We conclude that individuals at risk of sustained opioid utilization can be identified early in their clinical course from limited observational data.

Linking Opioid-Overdose Data to Human Services and Criminal Justice Data: Opportunities for Intervention.

OBJECTIVES: In Allegheny County, Pennsylvania, the incidence of opioid-related overdose deaths increased from 17.4 per 100 000 population in 2008 to 23.9 per 100 000 population in 2014. Our objectives were to describe local demographic characteristics of this epidemic, identify public human services targets for intervention, determine temporal relationships between use of public human services and overdose mortality, and provide recommendations about potentially beneficial interventions. METHODS: We used autopsy data from the Allegheny County Medical Examiner to link people who died of overdoses from 2008 through 2014 to their premortem incarcerations and use of mental health services and substance use disorder services. We calculated the frequency of use of public human services by decedents and the interval between the last use of these services and overdose death. RESULTS: Of the 1399 decedents, 957 (68.4%) had a public human service encounter before overdose death. Of these 957 decedents, 531 (55.5%) had ever been incarcerated, 616 (64.4%) had ever used a mental health service, and 702 (73.4%) had ever used a substance use disorder service. Of 211 decedents incarcerated in the year before their overdose death, 54 (25.6%) overdosed within 30 days of their last release from jail. Of 510 decedents using mental health services in the year before death, 231 (45.3%) overdosed within 30 days of their last use of the services. Of 350 decedents using substance use disorder services in the year before their overdose death, 134 (38.3%) overdosed within 30 days of their last use of the services. CONCLUSIONS: Merging data on overdose mortality with data on use of public human services can be a useful strategy to identify trends in, and factors contributing to, the opioid epidemic; to target interventions; and to stimulate collaboration to address the epidemic.

Association of Therapeutic Alliance with Outcomes Over Two Years in Youth and Family Service.

This study examines therapeutic alliance (TA) over 2 years and the association with clinical outcomes for children and youth in a home and school-based behavioral health service characterized by innovative TA practices. Caregiver report of TA and functioning were collected monthly and discussed to inform service planning. Trajectory analysis was conducted to discern distinct patterns of TA ratings over time with linear mixed models to examine factors associated with the resulting TA patterns. We identified 1714 Medicaid-eligible youth and families. The majority of families (84%) reported high and steady ratings of TA, 5% reported lower but improving TA ratings, and 11% reported declining TA ratings over time. Average TA rating was associated with family and child functioning, yet all TA groups experienced improved functioning over time. Measurement of TA over time may help clinicians target and improve care for children and families.

Screening, brief intervention, and referral to treatment: overview of and student satisfaction with an undergraduate addiction training program for nurses.

Preparing nursing students to apply an evidence-based screening and brief intervention approach with patients has the potential to reduce patients' risky alcohol and drug use. Responding to Mollica, Hyman, and Mann's article published in 2011, the current article describes implementation results of an Addiction Training for Nurses program of Screening, Brief Intervention, and Referral to Treatment (SBIRT) embedded within an undergraduate nursing curriculum. Results reveal that students in other schools of nursing would benefit from similar, significant training on substance use disorders and SBIRT. Training satisfaction surveys (N = 488) indicate students were satisfied with the quality of the training experience. More than 90% of students strongly agreed or agreed that the training was relevant to their nursing careers and would help their patients. Additional clinical practice and skill development may increase students' reported effectiveness in working with the topic area of substance use and SBIRT.

Characteristics of an overdose prevention, response, and naloxone distribution program in Pittsburgh and Allegheny County, Pennsylvania.

Prevention Point Pittsburgh (PPP) is a public health advocacy organization that operates Allegheny County's only needle exchange program. In 2002, PPP implemented an Overdose Prevention Program (OPP) in response to an increase in heroin-related and opioid-related overdose fatalities in the region. In 2005, the OPP augmented overdose prevention and response trainings to include naloxone training and prescription. The objective of our study is to describe the experiences of 426 individuals who participated in the OPP between July 1, 2005, and December 31, 2008. Of these, 89 individuals reported administering naloxone in response to an overdose in a total of 249 separate overdose episodes. Of these 249 overdose episodes in which naloxone was administered, participants reported 96% were reversed. The data support findings from a growing body of research on similar programs in other cities. Community-based OPPs that equip drug users with skills to identify and respond to an overdose and prescribe naloxone can help users and their peers prevent and reverse potentially fatal overdoses without significant adverse consequences.

Partnerships and pathways of dissemination: the National Institute on Drug Abuse-Substance Abuse and Mental Health Services Administration Blending Initiative in the Clinical Trials Network.

Since 2001, the National Drug Abuse Treatment Clinical Trials Network (CTN) has worked to put the results of its trials into the hands of community treatment programs, in large part through its participation in the National Institute on Drug Abuse-Substance Abuse and Mental Health Services Administration Blending Initiative and its close involvement with the Center for Substance Abuse Treatment's Addiction Technology Transfer Centers. This article describes (a) the CTN's integral role in the Blending Initiative, (b) key partnerships and dissemination pathways through which the results of CTN trials are developed into blending products and then transferred to community treatment programs, and (c) three blending initiatives involving buprenorphine, motivational incentives, and motivational interviewing. The Blending Initiative has resulted in high utilization of its products, preparation of more than 200 regional trainers, widespread training of service providers in most U.S. States, Puerto Rico, and the U.S. Virgin Islands and movement toward the development of Web-based implementation supports and technical assistance. Implications for future directions of the Blending Initiative and opportunities for research are discussed.