Large Multisite Research Articles

What/Why/When/Where/How Framework and Faculty Development Workshop to Improve the Utility of Narrative Evaluations for Assessing Internal Medicine Residents.

Clinical competency committees (CCCs) rely on narrative evaluations to assess resident competency. Despite the emphasis on these evaluations, their utility is frequently hindered by lack of sufficient detail for use by CCCs. Prior resources have sought to improve specificity of comments and use of evaluations by residents but not their utility for CCCs in assessing trainee performance. We developed a 1-hour faculty development workshop focused on a newly devised framework for Department of Medicine faculty supervising internal medicine residents. The what/why/when/where/how framework highlighted key features of useful narrative evaluations: behaviors of strength and growth, contextualized observations, improvement over time, and actionable next steps. Workshop sessions were implemented at a large multisite internal medicine residency program. We assessed the workshop by measuring attendee confidence and skill in writing narrative evaluations useful for CCCs. Skill was assessed through a rubric adapted from literature on the utility of narrative evaluations. Fifty-four participants started the presurvey, and 33 completed the workshop, for a response rate of 61%. Participant confidence improved pre-, post-, and 3 months postworkshop. Total utility scores improved in mock evaluations from 12.4 to 15.5 and in real evaluations from 13.7 to 15.0, but only some subcomponent scores improved, with fewer improving in the real evaluations. A short workshop focusing on our framework improves confidence and utility of narrative evaluations of internal medicine residents for use by CCCs. Next steps should include developing more challenging components of narrative evaluations for continued improvement in trainee performance and faculty assessment.

Social Anxiety, Drinking Game Motives, and Drinking Game Outcomes Among a Large Multisite Sample of University Students

Social Anxiety, Drinking Game Motives, and Drinking Game Outcomes Among a Large Multisite Sample of University Students

Patient Opportunities to Self-Schedule in a Large Multisite, Multispecialty Medical Practice: Program Description and Uptake of 7 Unique Processes for Patients to Successfully Self-Schedule (and Reschedule) Their Medical Appointments.

Patient self-scheduling of medical appointments is becoming more common in many medical institutions. However, the complexity of scheduling multiple specialties, following scheduling guidelines, and managing appointment access requires a variety of processes for a diverse inventory of self-schedulable appointment types. From 7 unique patient self-scheduling methods, we captured counts of successfully self-scheduled and completed appointments. A process map was created to show the paths of 5 different primary self-scheduling processes (new appointment self-scheduling) and 2 secondary self-scheduling processes (existing appointment self-rescheduling). There were 7 unique processes that led to 733,651 successfully self-scheduled completed visits from January 1 to December 31, 2023 at a multisite, multispecialty clinic. The self-scheduling processes consisted of the following: (1) Ticket offer (appointment "ticket" offers for specific visits generated by a provider order or system rules), the software "ticket" sent to the patient permits "admission" to self-schedule calendar templates (341,591 uses, 46.6%); (2) direct self-scheduled visit for prequalified visit types (203,593 uses, 27.6%); (3) self-reschedule option (patient option to reschedule existing appointment, 79,706 uses, 10.9%); (4) new patient self-scheduled visit via clinic website (does not require portal access, 54,367 uses, 7.4%). (5) automated waitlist self-rescheduled visit (38,649 uses, 5.3%); (6) automated waitlist self-scheduled visit of previously unscheduled visit (10,939 uses, 1.5%); and (7) self-triage self-scheduled visit (4806 uses, 0.7%). The processes for self-scheduling are expanding. Our multispecialty clinic has implemented 7 different processes to help patients successfully self-schedule medical appointments. Some of the processes occur before initial scheduling (such as self-triage), and some are implemented after successful scheduling has already occurred (self-rescheduling option and self-rescheduling aided by an automated waitlist). Continued research is needed to look for measures of success beyond the ability to complete a self-scheduled visit, including the accuracy of the booking (right provider, location, and length of visit).

Self-scheduling in a Large Multispecialty and Multisite Clinic: A Retrospective, Longitudinal Examination of Multiple Self-Scheduled Visit Types.

Self-scheduling of medical visits is becoming available at many medical institutions. We aimed to examine the self-scheduled visit counts and rate of growth of self-scheduled visits in a multispecialty practice. For 85 weeks extending from January 1, 2022 through August 24, 2023, we examined self-scheduled visit counts for over 1500 self-scheduled visit types. We compared completed self-scheduled visit counts to all scheduled completed visit counts for the same visit types. We collected counts of the most frequently self-scheduled visit types for each week and examined the change over time. We also determined the proportion that each visit type was self-scheduled. There were 20,769 699 completed visits during the course of the study that met the criteria for inclusion. Self-scheduled visits accounted for 4.0% of all completed visits (838 592/20,769 699). Over the 85-week span, self-scheduled visits rose from 3.0% to 5.3% of the total. There were 1887 unique visit types that were associated with completed visits. There were just 6 appointment visit types of the total 1887 self-scheduled visit types that accounted for 50.7% of the total 838 592 self-scheduled visits. Those 6 visit types were a lab blood test visit (19.5%, 163 K visits), two Family Medicine office visit types (13.0%, 109 K visits), a screening mammogram visit type (6.6%, 55 K visits), a scheduled express care visit type (6%, 50 K visits) and a COVID immunization visit type (5.7%, 48 K visits). Twenty-one visit types that were self-scheduled accounted for 75% of the total self-scheduled visits. Four seasonal visits, accounting for 10.6% of the total self-scheduled visits, were responsible for almost all the non-linear change in self-scheduling. Self-scheduling accounted for a small but growing percent of all outpatient scheduled visits in a multispecialty, multisite practice. A wide range of visit types can be successfully self-scheduled.

Factors associated with infant sex and preterm birth status for selected birth defects from the National Birth Defects Prevention Study, 1997-2011.

Birth defects and preterm birth co-occur, with some overlapping risk factors. Many birth defects and preterm births tend to have a male preponderance. We explored potential risk factors impacting sex and preterm (<37 weeks of gestation) birth differences among infants with selected birth defects delivered from 1997 to 2011 using data from the National Birth Defects Prevention Study (NBDPS). The NBDPS was a large multisite, population-based case-control study. Using random forests, we identified important predictors of male preterm, female preterm, and male term, each compared with female term births for each birth defect. Using logistic regression, we estimated odds ratios for associations between important predictors and sex-preterm birth status by birth defect. We examined 11,379 infants with nine specific birth defects. The top 10 most important predictors of sex-preterm birth status from the random forests varied greatly across the birth defects and sex-preterm comparisons within a given defect group, with several being novel factors. However, one consistency was that short interpregnancy interval was associated with sex-preterm birth status for many of the studied birth defects. Although obesity has been identified as a risk factor for preterm birth and birth defects in other research, it was not associated with sex-preterm birth status for any of the examined defects. We confirmed expected associations for sex-preterm birth status differences and found new potential risk factors for further exploration among the studied birth defects.

Comparison of Telehealth and In-Person Behavioral Health Services and Payment in a Large Rural Multisite Usual Care Study.

Background: Telehealth and in-person behavioral health services have previously shown equal effectiveness, but cost studies have largely been limited to travel savings for telehealth cohorts. The purpose of this analysis was to compare telehealth and in-person cohorts, who received behavioral health services in a large multisite study of usual care treatment approaches to examine relative value units (RVUs) and payment. Methods: We used current procedural terminology codes for each encounter to identify RVUs and Medicare payment rates. Mixed linear regression models compared telehealth and in-person cohorts on RVUs, per-encounter payment rates, and total-episode payment rates. Results: We found the behavioral health services provided by telehealth to have modest, but statistically significantly lower RVUs (i.e., less provider work in time spent and case complexity), per-encounter payments, and total episode payments than the in-person cohort. Despite Medicare rates discounting payments for nonphysician providers and the in-person cohort using clinical social workers more frequently, the services provided by the telehealth cohort still had lower payments. Thus, the differences observed are due to the in-person cohort receiving higher payment RVU services than the telehealth cohort, which was more likely to receive briefer therapy sessions and other less expensive services. Conclusions: Behavioral health services provided by telehealth used services with lower RVUs than behavioral health services provided in-person, on average, even after adjusting for patient demographics and diagnosis. Observed differences in Medicare payments resulted from the provider type and services used by the two cohorts; thus, costs and insurance reimbursements may vary for others.

An End-to-End Integrated Clinical and CT-Based Radiomics Nomogram for Predicting Disease Severity and Need for Ventilator Support in COVID-19 Patients: A Large Multisite Retrospective Study.

The disease COVID-19 has caused a widespread global pandemic with ~3. 93 million deaths worldwide. In this work, we present three models-radiomics (MRM), clinical (MCM), and combined clinical-radiomics (MRCM) nomogram to predict COVID-19-positive patients who will end up needing invasive mechanical ventilation from the baseline CT scans. We performed a retrospective multicohort study of individuals with COVID-19-positive findings for a total of 897 patients from two different institutions (Renmin Hospital of Wuhan University, D1 = 787, and University Hospitals, US D2 = 110). The patients from institution-1 were divided into 60% training, , and 40% test set . The patients from institution-2 were used for an independent validation test set . A U-Net-based neural network (CNN) was trained to automatically segment out the COVID consolidation regions on the CT scans. The segmented regions from the CT scans were used for extracting first- and higher-order radiomic textural features. The top radiomic and clinical features were selected using the least absolute shrinkage and selection operator (LASSO) with an optimal binomial regression model within . The three out of the top five features identified using were higher-order textural features (GLCM, GLRLM, GLSZM), whereas the last two features included the total absolute infection size on the CT scan and the total intensity of the COVID consolidations. The radiomics model (MRM) was constructed using the radiomic score built using the coefficients obtained from the LASSO logistic model used within the linear regression (LR) classifier. The MRM yielded an area under the receiver operating characteristic curve (AUC) of 0.754 (0.709-0.799) on , 0.836 on , and 0.748 . The top prognostic clinical factors identified in the analysis were dehydrogenase (LDH), age, and albumin (ALB). The clinical model had an AUC of 0.784 (0.743-0.825) on , 0.813 on , and 0.688 on . Finally, the combined model, MRCM integrating radiomic score, age, LDH and ALB, yielded an AUC of 0.814 (0.774-0.853) on , 0.847 on , and 0.771 on . The MRCM had an overall improvement in the performance of ~5.85% ( : p = 0.0031; p = 0.0165; : p = 0.0369) over MCM. The novel integrated imaging and clinical model (MRCM) outperformed both models (MRM) and (MCM). Our results across multiple sites suggest that the integrated nomogram could help identify COVID-19 patients with more severe disease phenotype and potentially require mechanical ventilation.

Implementation of Electronic Patient-Reported Outcomes for Symptom Monitoring in a Large Multisite Community Oncology Practice: Dancing the Texas Two-Step Through a Pandemic.

Among patients receiving chemotherapy, symptom monitoring with electronic patient-reported outcomes (ePROs) is associated with improved clinical outcomes, satisfaction, and compliance with therapy. Standard approaches for ePRO implementation are not established, warranting evaluation in community cancer practices. We present implementation findings of ePRO symptom monitoring across a large multisite community oncology practice network. Patients initiating a new systemic therapy at one of the 210 practice sites at Texas Oncology were invited to use the Navigating Cancer ePRO platform, with stepped-wedge implementation from July to December 2020. Participating patients received a weekly prompt by text message or e-mail to self-report common symptoms and well-being. Severe self-reported symptoms triggered a real-time notification to nursing triage to address the symptom. Enrollment and compliance were systematically tracked weekly with evaluation of barriers and facilitators to adoption and sustainability. Four thousand three hundred seventy-five patients planning systemic treatment were enrolled and participated. Seventy-three percent (1,841 of 2,522) of enrolled patients completed at least one ePRO assessment. Among these individuals, 64% (16,299 of 25,061) of available weekly ePRO assessments were completed. Over a 10-week period, compliance declined from 72% to 52%. Barriers currently being addressed include lack of a second reminder text or e-mail prompt, inconsistent discussion of reported ePROs by clinicians at visits, and COVID-related changes in workflow. Facilitators included ease of use and patient and staff engagement on the importance of PROs for symptom management. ePROs can be effectively implemented in community oncology practice. Utilization of ePROs is high but diminishes over time without attention to barriers. Ongoing work to address barriers and optimize compliance are underway.

Responding to the Challenge of a Pandemic: The Rapid Conversion of Electronic Medical Record Training for Nurses From Classroom-Based Instructional Learning to a Blended Learning Approach in a Large Multisite Organization.

Responding to the Challenge of a Pandemic: The Rapid Conversion of Electronic Medical Record Training for Nurses From Classroom-Based Instructional Learning to a Blended Learning Approach in a Large Multisite Organization.

Perceived Care Quality Among Women Receiving Sexual Assault Nurse Examiner Care: Results From a 1-Week Postexamination Survey in a Large Multisite Prospective Study

IntroductionThis study examined the perspectives of female patients who had been sexually assaulted regarding the quality of care provided by sexual assault nurse examiners, including whether the patients’ perspectives varied by their demographic characteristics and health status before the assault. MethodsA total of 695 female patients who received care from sexual assault nurse examiners at 13 United States emergency care centers and community-based programs completed standardized surveys 1 week after receiving sexual assault nurse examiners’ care for sexual assault. ResultsMost patients strongly agreed that the sexual assault nurse examiners provided high-quality care, including taking patients’ needs/concerns seriously, not acting as though the assault was the patient’s fault, showing care/compassion, explaining the sexual assault examination, and providing follow-up information. The perceptions did not vary by the patients’ demographic characteristics or preassault health status. DiscussionFemale patients who had been sexually assaulted and who were evaluated at 13 widely geographically distributed sexual assault nurse examiners’ programs consistently reported that the sexual assault nurse examiners provided high-quality, compassionate care.

Exploring Peaks in Hospital Blood Component Utilization: A 10-Year Retrospective Study at a Large Multisite Academic Centre.

Peak demand analysis is common in industries such as the energy sector, but can also be applied to the field of transfusion to characterize the nature and timing of peak days in hospital blood utilization. This information can be used to forecast future peak days or to inform hospital emergency preparedness plans. The aims of this study are to characterize peak days in red blood cell (RBC) utilization over the past 10 years at our hospital, and to compare RBC peaks with peaks in platelet, plasma, and cryoprecipitate utilization. This was a retrospective cohort study of RBC, platelet, plasma, and cryoprecipitate transfusions in the inpatient and emergency department setting between May 2009 and April 2019 at a large academic hospital, containing regional trauma and cardiovascular surgery centers. For each blood product, a peak in utilization was defined as a day with a ≥50% increase in the number of units transfused compared to the previous 90-day average. Descriptive and inferential analyses were performed to characterize peak days. There were on average 20,501 RBCs transfused per year and 56 RBCs transfused per day over the 10-year period. A total of 134 peaks in RBC utilization occurred over the study period, with an average of 14 peaks per year. RBC peak days required on average 69% more RBC units compared to nonpeak days (P< .0001). 77% of RBC peaks were caused either solely or in part by surgical bleeding, 34% were caused entirely or in part by trauma, and other causes were infrequent. RBC peaks occurred most often on Fridays and least often on weekends (P< .0001). While there were 134 RBC peaks over the study period, there was a larger number of platelet (n=292), plasma (n=467), and cryoprecipitate peaks (n=579). RBC peak days often coincided with plasma peak days, but less frequently with platelet and cryoprecipitate peaks. More studies are needed to determine whether analysis of peak usage will be of value to hospital blood banks for emergency planning and blood inventory management.

Facilitators and Barriers to Recruiting Ambulatory Oncology Practices Into a Large Multisite Study: Mixed Methods Study.

BackgroundPractice-based research is essential to generate the data necessary to understand outcomes in ambulatory oncology care. Although there is an increased interest in studying ambulatory oncology care, given the rising patient volumes and complexity in those settings, little guidance is available on how best to recruit ambulatory oncology practices for research.ObjectiveThis paper aimed to describe the facilitators and barriers to recruiting ambulatory oncology practices into a large multisite study.MethodsUsing a mixed methods design, we sought to recruit 52 ambulatory oncology practices that have participated in a state-wide quality improvement collaborative for the quantitative phase. We used 4 domains of the Consolidated Framework for Implementation Research (CFIR) to describe facilitators and barriers to recruitment.ResultsWe successfully recruited 28 of the 52 collaborative-affiliated practices, collecting survey data from 2223 patients and 297 clinicians. Intervention attributes included multimodal outreach and training activities to assure high fidelity to the data collection protocol. The implementation process was enhanced through interactive training and practice-assigned champions responsible for data collection. External context attributes that facilitated practice recruitment included partnership with a quality improvement collaborative and the inclusion of a staff member from the collaborative in our team. Key opinion leaders within each practice who could identify challenges to participation and propose flexible solutions represented internal context attributes. We also reported lessons learned during the recruitment process, which included navigating diverse approaches to human subjects protection policies and understanding that recruitment could be a negotiated process that took longer than anticipated, among others.ConclusionsOur experience provides other researchers with challenges to anticipate and possible solutions for common issues. Using the CFIR as a guide, we identified numerous recruitment barriers and facilitators and devised strategies to enhance recruitment efforts. In conclusion, researchers and clinicians can partner effectively to design and implement research protocols that ultimately benefit patients who are increasingly seeking care in ambulatory practices.

Barkley Deficits in Executive Functioning Scale (BDEFS): Validation in a Large Multisite College Sample.

Despite the importance of daily life executive functioning (EF) for college students' success, few measures exist that have been validated in college students specifically. This study examined the factor structure of the Barkley Deficits in Executive Functioning Scale (BDEFS) in college students. Participants were 1,311 students (ages 18-28 years, 65% female) from five universities in the United States. Additionally, the study examined invariance across sex, age, and attention-deficit/hyperactivity disorder symptoms. Exploratory structural equation modeling provided strong support for the BDEFS five-factor structure though some items had high cross-loadings on multiple factors. Findings generally supported invariance across sex and age; however, loadings, thresholds, and factor means differed based on attention-deficit/hyperactivity disorder symptoms. Stronger support for invariance across sex emerged for a reduced item version that eliminated cross-loading items. Overall, findings provide support for the validity and utility of the BDEFS in college students.

Radiology Report Template Optimization at an Academic Medical Center.

OBJECTIVE. Variability in reports of the same imaging study performed at the same institution may be confusing to referrers and patients, hindering results communication. The purpose of this study was to introduce a quality improvement initiative aimed at reducing variation in radiology report templates at a large academic center. MATERIALS AND METHODS. The quality improvement initiative was undertaken at a large multisite, multidivision academic radiology practice performing more than 820,000 radiologic examinations annually. A project charter defined the goals, scope, and personnel of the initiative and an escalation pathway for conflict resolution. Standard requirements for templates were initially developed. From September 2017 to May 2018, an oversight committee (24 organ system and modality-based work groups with representatives from nine subspecialty divisions) reviewed and harmonized all institutional radiology report templates across the enterprise irrespective of the imaging site or division that interpreted the study. The primary outcome measure was percentage reduction in report templates after harmonization. The secondary outcome measure was monthly adherence to harmonized templates for 9 months after implementation assessed by manual review of 40 randomly selected reports per month. The paired t test was used to assess template reduction, and the chi-square trend test was used to study trend in adherence to harmonized templates. RESULTS. Among 19,687 total templates at baseline, 597 harmonized templates remained after harmonization (p < 0.001). There was variation in template reduction by work group (multiple p < 0.05; reduction range, 79.2-99.3%). Radiologist adherence to harmonized templates ranged from 88.0% to 100%, unchanged in the 9 months after implementation (p = 0.23, chi-square trend). CONCLUSION. A radiology report harmonization initiative reduced 97.0% of report templates with a sustained high degree of adherence to harmonized templates after implementation at a large multisite multidivision academic radiology practice.

1.2 Racial Differences in First-Episode Psychosis Treatment Outcomes: Data From the National RA1SE Early Treatment Program (ETP) Study

This study examined racial differences in treatment outcomes among participants enrolled in a large multisite, randomized controlled trial evaluating a coordinated specialty care model for first-episode psychosis called NAVIGATE.

Occupational Dose and Dose Limits: Experience in a Large Multisite Hospital System

PurposeThe Nuclear Regulatory Commission (NRC) has recently proposed changes that reduce the occupational dose limits for lens dose equivalent (LDE), embryo/fetus dose, and administrative control levels (ACLs) related to deep dose equivalent (DDE). This study collected occupational dose data from a large hospital system and determined how proposed NRC regulatory changes may affect worker and hospital workflow. MethodsRadiation badge data were collected for 1,305 workers, from between 2013 and 2014, and 180 pregnancies, from between 2009 and 2014. Median values for LDE, DDE, and embryo/fetus dose were determined. Current and proposed NRC regulations were applied, and the percentage of workers exceeding regulatory limits/ACLs was recorded. Fisher’s exact test was applied to determine if physicians were disproportionately affected by dose regulations. ResultsMedian doses were one to two orders of magnitude lower than current annual dose limits prescribed by the NRC. Proposed NRC regulations significantly increased the percentage of workers who exceeded limits and ACLs. Interventional radiologists, pain medicine physicians, and cardiologists working in catheter laboratories were most affected by LDE limits and DDE ACLs. Nuclear medicine technologists were most affected by embryo/fetus limits. Physicians were disproportionately affected by regulations (odds ratio 26.86; P < .0001). ConclusionsProposed NRC regulatory changes will cause a small increase in the number of workers who exceed ACLs and limits. Physicians and pregnant nuclear medicine workers are most affected and may need to alter their workloads. Practical difficulties in implementing cumulative dose tracking, and use of an LDE shielding factor, should be considered.

Extent of Regional Nodal Irradiation in the Breast-Conservation Setting Following a Positive Sentinel Lymph Node Biopsy: Network Practice Patterns in a Large Multisite Cancer Center

ACOSOG Z0011 changed recommended breast-conserving surgery (BCS) practice away from completion axillary lymph node dissection (ALND) for women with T1-T2 cN0 invasive carcinoma of the breast with 1-2 positive nodes at sentinel lymph node biopsy (SLNB). Little is known about how this change is impacting radiation practice patterns for these women. We evaluated our recent experience in this setting, with a particular focus on the extent of radiation coverage for axillary level 1 (Ax1) and level 2 (Ax2).

Outcomes and Quality of Care for Anal Cancer Patients Treated With IMRT in a Large Multisite Cancer Center

Little is known about the quality and efficacy of IMRT-based chemoradiation therapy for anal cancer delivered outside the traditional academic setting. Our multi-site cancer institute offers radiation therapy services over a broad geography, without centralized planning or subspecialty radiation providers. Our experience may be instructive for others practicing in similar environments.

Financial Management of a Large Multisite Randomized Clinical Trial

The Carotid Revascularization Endarterectomy versus Stenting Trial (CREST) received five years' funding ($21 112 866) from the National Institutes of Health to compare carotid stenting to surgery for stroke prevention in 2500 randomized participants at 40 sites. Herein we evaluate the change in the CREST budget from a fixed to variable-cost model and recommend strategies for the financial management of large-scale clinical trials. Projections of the original grant's fixed-cost model were compared to the actual costs of the revised variable-cost model. The original grant's fixed-cost budget included salaries, fringe benefits, and other direct and indirect costs. For the variable-cost model, the costs were actual payments to the clinical sites and core centers based upon actual trial enrollment. We compared annual direct and indirect costs and per-patient cost for both the fixed and variable models. Differences between clinical site and core center expenditures were also calculated. Using a variable-cost budget for clinical sites, funding was extended by no-cost extension from five to eight years. Randomizing sites tripled from 34 to 109. Of the 2500 targeted sample size, 138 (5·5%) were randomized during the first five years and 1387 (55·5%) during the no-cost extension. The actual per-patient costs of the variable model were 9% ($13 845) of the projected per-patient costs ($152 992) of the fixed model. Performance-based budgets conserve funding, promote compliance, and allow for additional sites at modest additional cost. Costs of large-scale clinical trials can thus be reduced through effective management without compromising scientific integrity.

Patient characteristics associated with buprenorphine/naloxone treatment outcome for prescription opioid dependence: Results from a multisite study

BackgroundPrescription opioid dependence is a growing problem, but little research exists on its treatment, including patient characteristics that predict treatment outcome. MethodsA secondary analysis of data from a large multisite, randomized clinical trial, the National Drug Abuse Treatment Clinical Trials Network Prescription Opioid Addiction Treatment Study (POATS) was undertaken to examine baseline patient characteristics (N=360) associated with success during 12-week buprenorphine/naloxone treatment for prescription opioid dependence. Baseline predictor variables included self-reported demographic and opioid use history information, diagnoses assessed via the Composite International Diagnostic Interview, and historical opioid use and related information from the Pain And Opiate Analgesic Use History. ResultsIn bivariate analyses, pre-treatment characteristics associated with successful opioid use outcome included older age, past-year or lifetime diagnosis of major depressive disorder, initially obtaining opioids with a medical prescription to relieve pain, having only used opioids by swallowing or sublingual administration, never having used heroin, using an opioid other than extended-release oxycodone most frequently, and no prior opioid dependence treatment. In multivariate analysis, age, lifetime major depressive disorder, having only used opioids by swallowing or sublingual administration, and receiving no prior opioid dependence treatment remained as significant predictors of successful outcome. ConclusionsThis is the first study to examine characteristics associated with treatment outcome in patients dependent exclusively on prescription opioids. Characteristics associated with successful outcome after 12 weeks of buprenorphine/naloxone treatment include some that have previously been found to predict heroin-dependent patients’ response to methadone treatment and some specific to prescription opioid-dependent patients receiving buprenorphine/naloxone.