Identifying Strategies to Reduce Low-Value Preoperative Testing for Low-Risk Procedures: a Qualitative Study of Facilities with High or Recently Improved Levels of Testing.

BACKGROUND: Healthcare agencies and perioperative professional organizations recommend avoiding preoperative screening tests for low-risk surgical procedures. However, low-value preoperative tests are still commonly ordered even for generally healthy patients and active strategies to reduce this testing have not been adequately described. OBJECTIVE: We sought to learn from hospitals with either high levels of testing or that had recently reduced use of low-value screening tests (aka "delta sites") about reasons for testing and active deimplementation strategies they used to effectively improve practice. DESIGN: Qualitative study of semi-structured telephone interviews. PARTICIPANTS: We identified facilities in the US Veterans Health Administration (VHA) with high or recently improved burden of potentially low-value preoperative testing for carpal tunnel release and cataract surgery. We recruited perioperative clinicians to participate. APPROACH: Questions focused on reasons to order preoperative screening tests for patients undergoing low-risk surgery and, more importantly, what strategies had been successfully used to reduce testing. A framework method was used to identify common improvement strategies and specific care delivery innovations. KEY RESULTS: Thirty-five perioperative clinicians (e.g., hand surgeons, ophthalmologists, anesthesiologists, primary care providers, directors of preoperative clinics, nurses) from 29 VHA facilities participated. Facilities that successfully reduced the burden of low-value testing shared many improvement strategies (e.g., building consensus among stakeholders; using evidence/norm-based education and persuasion; clarifying responsibility for ordering tests) to implement different care delivery innovations (e.g., pre-screening to decide if a preop clinic evaluation is necessary; establishing a dedicated preop clinic for low-risk procedures). CONCLUSIONS: We identified a menu of common improvement strategies and specific care delivery innovations that might be helpful for institutions trying to design their own quality improvement programs to reduce low-value preoperative testing given their unique structure, resources, and constraints.

Patient Perspectives on Recovery and Information Needs After Surgery: A Qualitative Study of Veterans.

INTRODUCTION: Little is known about patients' postoperative emotional and social functioning and preferences for recovery settings. This qualitative study explores patients' perspectives on factors influencing postoperative recovery, including the proportion of time recovering at home (home time) and unmet information needs. METHODS: Semistructured interviews were conducted between September and December 2020 with veteran patients aged 65 y or older who underwent surgery at a single hospital. A purposeful sampling strategy was used to identify patients with a broad representation of major operations and various amounts of home time. One-hour interviews were audio-recorded, transcribed verbatim, and anonymized for analysis. A rigorous team-based in-depth thematic analysis was performed. Validation techniques to enhance the quality and credibility of the study included triangulation, independent coding, and search for disconfirming evidence. RESULTS: Twelve patients were interviewed (11 [91.7%] males; mean (standard deviation) age, 72.3 [4.8] y). Five factors that influenced the recovery process emerged: (1) professional support services, (2) informal caregiver support, (3) environment for recovery, (4) individual traits, and (5) physical and functional impairments. The analysis also elucidated four unmet information needs regarding recovery: (1) personalized and detailed information, (2) anticipated recovery time, (3) possible complications, and (4) comprehensive information about discharge location options. CONCLUSIONS: The study demonstrated that patients recovering from surgery require wide-ranging levels of support to meet their unique needs and preferences. Patients value easy-to-understand and personalized information about recovery from providers. These findings may be helpful to develop strategies that better support patients in their postoperative recovery and post-acute care transition pathways.

Alcohol use disorder pharmacotherapy and treatment in primary care (ADaPT-PC) trial: Impact on identified barriers to implementation.

Background: A minority of individuals meeting diagnostic criteria for alcohol use disorders (AUD) receive any type of formal treatment. Developing options for AUD treatment within primary care settings is imperative to increase treatment access. A multi-faceted implementation intervention including provider and patient education, clinician reminders, development of local champions and ongoing facilitation was designed to enhance access to AUD pharmacotherapy in primary care settings at three large Veterans Health Administration (VHA) facilities. This qualitative study compared pre-implementation barriers to post-implementation barriers identified via provider interviews to identify those barriers addressed and not addressed by the intervention to better understand the limited impact of the intervention. Methods: Following the nine-month implementation period, primary care providers at the three participating facilities took part in qualitative interviews to collect perceptions regarding which pre-implementation barriers had and had not been successfully addressed by the intervention. Participants included 20 primary care providers from three large VHA facilities. Interviews were coded using common coding techniques for qualitative data using the Consolidated Framework for Implementation Research (CFIR) codebook. Summary reports were created for each CFIR construct for each facility and the impact of each CFIR construct on implementation was coded as positive, neutral, or negative. Results: Some barriers identified during pre-implementation interviews were no longer identified as barriers in the post-implementation interviews. These included Relative Advantage, Relative Priority, and Knowledge & Beliefs about the Innovation. However, Compatibility, Design Quality & Packaging, and Available Resources remained barriers at the end of the implementation period. No substantial new barriers were identified. Conclusions: The implementation intervention appears to have been successful at addressing barriers that could be mitigated with traditional educational approaches. However, the intervention did not adequately address structural and organizational barriers to implementation. Recommendations for enhancing future interventions are provided.

Treatment of Low Back Pain With Opioids and Nonpharmacologic Treatment Modalities for Army Veterans.

BACKGROUND: In the Veterans Health Administration (VHA) there is growing interest in the use of nonpharmacologic treatment (NPT) for low back pain (LBP) as pain intensity and interference do not decrease with opioid use. OBJECTIVES: To describe overall and facility-level variation in the extent to which specific NPT modalities are used in VHA for LBP, either alone or as adjuncts to opioid medications, and to understand associations between veterans' clinical and demographic characteristics and type of treatment. RESEARCH DESIGN: This retrospective cohort study examined use of opioids and 21 specific NPT modalities used by veterans. SUBJECTS: VHA-enrolled Iraq and Afghanistan veterans who utilized care in ("linked" to) 130 VHA facilities within 12 months after their separation from the Army between fiscal years 2008-2011, and who were diagnosed with LBP within 12 months after linkage (n=49,885). MEASURES: Measures included per patient: days' supply of opioids, number of visits for NPT modalities, and pain scores within one year after a LBP diagnosis. RESULTS: Thirty-four percent of veterans filled a prescription for opioids, 35% utilized at least 1 NPT modality, and 15% used both within the same year. Most patients with LBP receiving NPT, on average, had moderate pain (36%), followed by low pain (27%), severe pain (15%), and no pain (11%). Eleven percent had no pain scores recorded. CONCLUSIONS: About 65% of VHA patients with a LBP diagnosis did not receive NPT, and about 43% of NPT users also were prescribed an opioid. Understanding utilization patterns and their relationship with patient characteristics can guide pain management decisions and future study.

Outpatient continuing care after residential substance use disorder treatment in the US Veterans Health Administration: Facilitators and challenges.

BACKGROUND: In the U.S. Veterans Health Administration (VHA), residential treatment programs are an important part of the continuum of care for patients with substance use disorders (SUDs). Outpatient continuing care after residential treatment helps maintain early recovery and treatment gains. Knowing more about the drivers of variation in continuing care practices and performance across residential programs might inform quality improvement efforts. METHODS: Metrics of continuing care were operationalized and calculated for each of VHA's 63 SUD Residential Rehabilitation Treatment Programs (SUD RRTPs) and 34 Mental Health Residential Rehabilitation Treatment Programs (MH RRTPs) with a SUD track in fiscal year 2012. Management and frontline staff of these programs were then interviewed to learn what factors might contribute to high or low program performance on the metrics compared with national averages. RESULTS: Among SUD RRTPs, the mean rate of outpatient SUD/MH continuing care was 59% within 7 days and 80% within 30 days, and the mean rate of SUD continuing care was 63% within 30 days. Among MH RRTPs with a SUD track, these rates were 56%, 75%, and 36%, respectively. There was substantial variability in continuing care rates across the 97 programs: 21%-93% for SUD/MH care within 7 days, 36%-100% for SUD/MH care within 30 days, and 4%-91% for SUD care within 30 days. Interviews with representatives of 44 programs revealed key facilitators of continuing care: accountability of program staff, predischarge scheduling, predischarge introductions to continuing care providers, strong patient relationships, accessibility, and persistent emphasis. Key challenges included inadequate program staffing, lack of program staff accountability, and poor accessibility. CONCLUSIONS: Wide variation in continuing care rates across programs and identification of common facilitators at high-performing programs suggest substantial opportunity for improvement for programs with lower performance.

Iraq and Afghanistan Veterans' Use of Veterans Health Administration and Purchased Care Before and After Veterans Choice Program Implementation.

BACKGROUND: The Veterans Choice Program (VCP), enacted by Congress after concerns surfaced about access, enables veterans to receive care outside Veterans Health Administration (VHA) facilities. Veterans who face long wait times, large driving distances, or particular hardships are eligible for VCP. Prior purchased care programs were comparatively limited in scope. OBJECTIVES: We sought to describe utilization of VHA-provided and purchased outpatient care by veterans eligible for VCP before and after VCP implementation. We focused on veterans recently eligible for VHA as they are of particular policy relevance and might have less established care patterns. RESEARCH DESIGN: We identified all Iraq and Afghanistan veterans who were eligible for VCP in 2015. We tabulated their use of VHA and purchased outpatient care for 3 years before (FY2012-2014) and 1 year after VCP implementation (FY2015). SUBJECTS: Our study population consisted of 214,449 Iraq and Afghanistan veterans who were eligible for VCP due to wait-time, distance, or hardship issues. RESULTS: In the first year of the program, 3821 (2%) of these Iraq and Afghanistan veterans used non-VHA services through VCP. Per capita VHA utilization tended to decline slightly after VCP implementation, but these changes varied by type of outpatient care. CONCLUSIONS: There was low uptake of VCP services in the first year of the program. Data from additional years are needed to better understand the impact of this policy.

Use of Veterans Health Administration Mental Health and Substance Use Disorder Treatment After Exiting Prison: The Health Care for Reentry Veterans Program.

The Veterans Health Administration (VA) Health Care for Reentry Veterans (HCRV) program links veterans exiting prison with treatment. Among veterans served by HCRV, national VA clinical data were used to describe contact with VA health care, and mental health and substance use disorder diagnoses and treatment use. Of veterans seen for an HCRV outreach visit, 56 % had contact with VA health care. Prevalence of mental health disorders was 57 %; of whom 77 % entered mental health treatment within a month of diagnosis. Prevalence of substance use disorders was 49 %; of whom 37 % entered substance use disorder treatment within a month of diagnosis. For veterans exiting prison, increasing access to VA health care, especially for rural veterans, and for substance use disorder treatment, are important quality improvement targets.

Excellent Patient Care Processes in Poor Hospitals? Why Hospital-Level and Patient-Level Care Quality-Outcome Relationships Can Differ.

Studies finding weak or nonexistent relationships between hospital performance on providing recommended care and hospital-level clinical outcomes raise questions about the value and validity of process of care performance measures. Such findings may cause clinicians to question the effectiveness of the care process presumably captured by the performance measure. However, one cannot infer from hospital-level results whether patients who received the specified care had comparable, worse or superior outcomes relative to patients not receiving that care. To make such an inference has been labeled the "ecological fallacy," an error that is well known among epidemiologists and sociologists, but less so among health care researchers and policy makers. We discuss such inappropriate inferences in the health care performance measurement field and illustrate how and why process measure-outcome relationships can differ at the patient and hospital levels. We also offer recommendations for appropriate multilevel analyses to evaluate process measure-outcome relationships at the patient and hospital levels and for a more effective role for performance measure bodies and research funding organizations in encouraging such multilevel analyses.

Are Improvements in Measured Performance Driven by Better Treatment or "Denominator Management"?

BACKGROUND: Process measures of healthcare quality are usually formulated as the number of patients who receive evidence-based treatment (numerator) divided by the number of patients in the target population (denominator). When the systems being evaluated can influence which patients are included in the denominator, it is reasonable to wonder if improvements in measured quality are driven by expanding numerators or contracting denominators. OBJECTIVE: In 2003, the US Department of Veteran Affairs (VA) based executive compensation in part on performance on a substance use disorder (SUD) continuity-of-care quality measure. The first goal of this study was to evaluate if implementing the measure in this way resulted in expected improvements in measured performance. The second goal was to examine if the proportion of patients with SUD who qualified for the denominator contracted after the quality measure was implemented, and to describe the facility-level variation in and correlates of denominator contraction or expansion. DESIGN: Using 40 quarters of data straddling the implementation of the performance measure, an interrupted time series design was used to evaluate changes in two outcomes. PARTICIPANTS: All veterans with an SUD diagnosis in all VA facilities from fiscal year 2000 to 2009. MAIN MEASURES: The two outcomes were 1) measured performance-patients retained/patients qualified and 2) denominator prevalence-patients qualified/patients with SUD program contact. KEY RESULTS: Measured performance improved over time (P < 0.001). Notably, the proportion of patients with SUD program contact who qualified for the denominator decreased more rapidly after the measure was implemented (p = 0.02). Facilities with higher pre-implementation denominator prevalence had steeper declines in denominator prevalence after implementation (p < 0.001). CONCLUSIONS: These results should motivate the development of measures that are less vulnerable to denominator management, and also the exploration of "shadow measures" to monitor and reduce undesirable denominator management.

Mapping the Discharge Process After Surgery.

Importance: Care transition models are structured approaches used to ensure the smooth transfer of patients between health care settings or levels of care, but none currently are tailored to the surgical patient. Tailoring care transition models to the unique needs of surgical patients may lead to significant improvements in surgical outcomes and reduced care fragmentation. The first step to developing surgical care transition models is to understand the surgical discharge process. Objective: To map the surgical discharge process in a sample of US hospitals and identify key components and potential challenges specific to a patient's discharge after surgery. Design, Setting, and Participants: This qualitative study followed a cognitive task analysis framework conducted between January 1, 2022, and April 1, 2023, in Veterans Health Administration (VHA) hospitals. Observations (n = 16) of discharge from inpatient care after a surgical procedure were conducted in 2 separate VHA surgical units. Interviews (n = 13) were conducted among VHA health care professionals nationwide. Exposure: Postoperative hospital discharge. Main Outcomes and Measures: Data were coded according to the principles of thematic analysis, and a swim lane process map was developed to represent the study findings. Results: At the hospitals in this study, the discharge process observed for a surgical patient involved multidisciplinary coordination across the surgery team, nursing team, case managers, dieticians, social services, occupational and physical therapy, and pharmacy. Important components for a surgical discharge that were not incorporated in the current care transition models included wound care education and supplies; pain control; approvals for nonhome postdischarge locations; and follow-up plans for wounds, ostomies, tubes, and drains at discharge. Potential challenges to the surgical discharge process included social situations (eg, home environment and caregiver availability), team communication issues, and postdischarge care coordination. Conclusions and Relevance: These findings suggest that current and ongoing studies of discharge care transitions for a patient after surgery should consider pain control; wounds, ostomies, tubes, and drains; and the impact of challenging social situations and interdisciplinary team coordination on discharge success.

Contextual Determinants of Time to Surgery for Patients With Hip Fracture.

Importance: Surgery within 24 hours after a hip fracture improves patient morbidity and mortality, which has led some hospitals to launch quality improvement programs (eg, targeted resource management, documented protocols) to address delays. However, these programs have had mixed results in terms of decreased time to surgery (TTS), identifying an opportunity to improve the effectiveness of interventions. Objective: To identify the contextual determinants (site-specific barriers and facilitators) of TTS for patients with hip fracture across diverse hospitals. Design, Setting, and Participants: This qualitative mixed-methods study used an exploratory sequential design that comprised 2 phases. In phase 1, qualitative semistructured interviews were conducted with stakeholders involved in hip fracture care (orthopedic surgeons or residents, emergency medicine physicians, hospitalists, anesthesiologists, nurses, and clinical or support staff) at 4 hospitals with differing financial, operational, and educational structures. Interviews were completed between May and July 2021. In phase 2, a quantitative survey assessing contextual determinants of TTS within 24 hours for adult patients with hip fracture was completed by orthopedic surgeon leaders representing 23 diverse hospitals across the US between May and July 2022. Data analysis was performed in August 2022. Main Outcomes and Measures: Thematic analysis of the interviews identified themes of contextual determinants of TTS within 24 hours for patients with hip fracture. The emergent contextual determinants were then measured across multiple hospitals, and frequency and distribution were used to assess associations between determinants and various hospital characteristics (eg, setting, number of beds). Results: A total of 34 stakeholders were interviewed in phase 1, and 23 surveys were completed in phase 2. More than half of respondents in both phases were men (19 [56%] and 18 [78%], respectively). The following 4 themes of contextual determinants of TTS within 24 hours were identified: availability, care coordination, improvement climate, and incentive structure. Within these themes, the most commonly identified determinants across the various hospitals involved operating room availability, a formal comanagement system between orthopedics and medicine or geriatrics, the presence of a physician champion focused on timely surgery, and a program that facilitates improvement work. Conclusions and Relevance: In this study, contextual determinants of TTS within 24 hours for patients with hip fracture varied across hospital sites and could not be generalized across various hospital contexts because no 2 sites had identical profiles. As such, these findings suggest that guidance on strategies for improving TTS should be based on the contextual determinants unique to each hospital.

Evaluating and Improving Engagement in Care After High-Intensity Stays for Mental or Substance Use Disorders.

OBJECTIVE: This interrupted time-series analysis examined whether activating a quality measure, supported by education and a population management tool, was associated with higher postdischarge engagement (PDE) in outpatient care after inpatient and residential stays for mental or substance use disorder care. METHODS: Discharges from October 2016 to May 2019 were identified from national Veterans Health Administration (VHA) records representing all 140 VHA health care systems. Engagement was defined as multiple mental or substance use disorder outpatient visits in the 30 days postdischarge. The number of such visits required to meet the engagement definition depended on a patient's suicide risk and acuity level of inpatient or residential treatment. Health care system-level performance was calculated as the percentage of qualifying discharges with 30-day PDE. A segmented mixed-effects linear regression model tested whether monthly health care system performance changed significantly after activation of the PDE measure (activation rollout period, October-December 2017). RESULTS: A total of 322,344 discharges qualified for the measure. In the regression model, average health care system performance was 65.6% at the beginning of the preactivation period (October 2016) and did not change significantly in the following 12 months. Average health care system performance increased by 5.7% (SE=0.8%, p<0.001) after PDE measure activation and did not change significantly thereafter-a difference representing 11,464 more patients engaging in care than would have without activation of the measure. CONCLUSIONS: Results support use of this measure, along with education, technical assistance, and population management tools, to improve engagement after discharge from residential and inpatient mental and substance use disorder treatment.

Suicide theory-guided natural language processing of clinical progress notes to improve prediction of veteran suicide risk: protocol for a mixed-method study.

INTRODUCTION: The state-of-the-art 3-step Theory of Suicide (3ST) describes why people consider suicide and who will act on their suicidal thoughts and attempt suicide. The central concepts of 3ST-psychological pain, hopelessness, connectedness, and capacity for suicide-are among the most important drivers of suicidal behaviour but they are missing from clinical suicide risk prediction models in use at the US Veterans Health Administration (VHA). These four concepts are not systematically recorded in structured fields of VHA's electronic healthcare records. Therefore, this study will develop a domain-specific ontology that will enable automated extraction of these concepts from clinical progress notes using natural language processing (NLP), and test whether NLP-based predictors for these concepts improve accuracy of existing VHA suicide risk prediction models. METHODS AND ANALYSIS: Our mixed-method study has an exploratory sequential design where a qualitative component (aim 1) will inform quantitative analyses (aims 2 and 3). For aim 1, subject matter experts will manually annotate progress notes of clinical encounters with veterans who attempted or died by suicide to develop a domain-specific ontology for the 3ST concepts. During aim 2, we will use NLP to machine-annotate clinical progress notes and derive longitudinal representations for each patient with respect to the presence and intensity of hopelessness, psychological pain, connectedness and capacity for suicide in temporal proximity of suicide attempts and deaths by suicide. These longitudinal representations will be evaluated during aim 3 for their ability to improve existing VHA prediction models of suicide and suicide attempts, STORM (Stratification Tool for Opioid Risk Mitigation) and REACHVET (Recovery Engagement and Coordination for Health - Veterans Enhanced Treatment). ETHICS AND DISSEMINATION: Ethics approval for this study was granted by the Stanford University Institutional Review Board and the Research and Development Committee of the VA Palo Alto Health Care System. Results of the study will be disseminated through several outlets, including peer-reviewed publications and presentations at national conferences.

Barriers to use of pharmacotherapy for addiction disorders and how to overcome them.

Substance use disorders are highly prevalent, debilitating conditions for which effective pharmacotherapies exist with a broad evidence base, yet pharmacotherapy for the treatment of addiction disorders is underutilized. The goals of this review are to describe the barriers that may contribute to poor adoption and utilization of pharmacotherapy for alcohol and opioid dependence at the system, provider, and patient level and to discuss ways to overcome those barriers. Multifaceted efforts directed at all three levels may be needed to speed pharmacotherapy adoption. More research is needed to help us better understand barriers from patients' perspectives. Strategies to promote adoption of pharmacotherapy for addiction disorders should be modified to fit the needs of the practice, system, and individual patients. Pharmacotherapy is a valuable tool in the clinical armamentarium of addiction treatment; thus, overcoming barriers to implementation may improve clinical and social outcomes.

Interhospital variability in time to discharge to rehabilitation among insured trauma patients.

BACKGROUND: Hospital costs are partly a function of length of stay (LOS), which can be impacted by the local availability of postacute care (PAC) resources (inpatient rehabilitation and skilled nursing facilities), particularly for injured patients. We hypothesized that LOS for trauma patients destined for PAC would be variable based on insurance type and hospitals from which they are discharged. METHODS: We used the 2014 to 2015 National Inpatient Sample from the Healthcare Cost and Utilization Project. We included all adult admissions with a primary diagnosis of trauma (International Classification of Diseases, 9th Revision, Clinical Modification codes), who were insured and discharged to PAC. We then ranked hospitals based upon mean LOS and divided them into quartiles to determine differences. The primary outcome was inpatient LOS; secondary outcome was cost. RESULTS: There are 958,005 trauma patients that met the inclusion criteria. Mean LOS varied based upon insurance type (Medicaid vs. Private vs. Medicare: 12.7 days vs. 8.8 days and 5.7 days; p < 0.001). Shortest LOS hospitals had a marginal variation in LOS (Medicaid vs. Private vs. Medicare: 5.5 days vs. 4.8 days vs. 4.2 days; p < 0.001). Longest LOS hospitals had mean LOS that varied substantially (16.4 days vs. 11.0 days vs. 6.7 days; p < 0.001). Multivariate regression controlling for patient and hospital characteristics revealed that Medicaid patients spent Medicaid patients spent an additional 0.4 days in shortest LOS hospitals and an additional 2.6 days in longest LOS hospitals (p < 0.001). The average daily cost of inpatient care was US $3,500 (SD, US $132). Even with conservative estimates, Medicaid patients at hospitals without easy access to rehabilitation incur significant additional inpatient costs over $10,000 in some hospitals. CONCLUSION: Prolonged LOS is likely a function of access to postacute facilities, which is largely out of the hands of trauma centers. Efficiencies in care are magnified by access to postacute beds, suggesting that increased availability of rehabilitation facilities, particularly for Medicaid patients, might help to reduce LOS. LEVEL OF EVIDENCE: Epidemiologic, level III; care management, level IV.

Advancing pharmacological treatments for opioid use disorder (ADaPT-OUD): protocol for testing a novel strategy to improve implementation of medication-assisted treatment for veterans with opioid use disorders in low-performing facilities.

BACKGROUND: In the US, emergency room visits and overdoses related to prescription opioids have soared and the rates of illicit opioid use, including heroin and fentanyl, are increasing. Opioid use disorder (OUD) is associated with higher morbidity and mortality, higher HIV and HCV infection rates, and criminal behavior. Opioid agonist therapy (OAT; methadone and buprenorphine) is proven to be effective in treating OUD and decreasing its negative consequences. While the efficacy of OAT has been established, too few providers prescribe OAT to patients with OUD due to patient, provider, or system factors. While the Veterans Health Administration (VHA) has made great strides in OAT implementation, national treatment rates remain low (35% of patients with OUD) and several facilities continue to have much lower prescribing rates. METHODS: Eight VA sites with low baseline prescribing rates (lowest quartile, < 21%) were randomly selected from the 35 low prescribing sites to receive an intensive external facilitation implementation intervention to increase OAT prescribing rates. The intervention includes a site-specific developmental evaluation, a kick-off site visit, and 12 months of ongoing facilitation. The developmental evaluation includes qualitative interviews with patients, substance use disorders clinic staff, and primary care and general mental health leadership to assess site-level barriers. The site visit includes: (1) a review of site-specific barriers and potential implementation strategies; (2) instruction on using available dashboards to track prescribing rates and identify actionable patients; and (3) education on OAT, including, if requested, buprenorphine certification training for prescribers. On-going facilitation consists of monthly conference calls with individual site teams and expert clinical consultation. The primary outcomes is the proportion of Veterans with OUD initiating and sustaining OAT, with intervention sites expected to have larger increases in prescribing compared to control sites. Final qualitative interviews and a cost assessment will inform future implementation efforts. DISCUSSION: This project will examine and respond to barriers encountered in low prescribing VHA clinics allowing refinement of an intervention to enhance access to medication treatment for OUD in additional facilities.

Applying American Society of Addiction Medicine Performance Measures in Commercial Health Insurance and Services Data.

OBJECTIVES: ASAM's Standards of Care for the Addiction Specialist established appropriate care for the treatment of substance use disorders. ASAM identified three high priority performance measures for specification and testing for feasibility in various systems using administrative claims: use of pharmacotherapy for alcohol use disorder (AUD); use of pharmacotherapy for opioid use disorder (OUD); and continuity of care after withdrawal management services. This study adds to the initial testing of these measures in the Veteran's Health Administration (VHA) by testing the feasibility of specifications in commercial insurance data (Cigna). METHODS: Using 2014 and 2015 administrative data, the proportion of individuals with an AUD or OUD diagnosis each year who filled prescriptions or were dispensed appropriate FDA-approved pharmacotherapy. For withdrawal management follow up, the proportion with an outpatient encounter within seven days was calculated. The sensitivity of specifications was also tested. RESULTS: Rates of pharmacotherapy for AUD ranged from 6.2% to 7.6% (depending on year and specification details), and rates for OUD pharmacotherapy were 25.0% to 29.7%. Seven-day follow up rate after withdrawal management in an outpatient setting was 20.5%, and an additional 39.7% in an inpatient or residential setting. CONCLUSIONS: Application of ASAM specifications is feasible in commercial administrative data. Because of varying system needs and payment practices across health systems, measures may require adjustment for different settings. Moving forward, important focus will be on the continued refinement of these measures with the new ICD-10 coding systems, new formulations of current medications, and new payment approaches such as bundled payment.

Cost-minimization Analysis of the Management of Acute Achilles Tendon Rupture.

BACKGROUND: Outcomes of nonsurgical management of acute Achilles tendon rupture have been demonstrated to be noninferior to those of surgical management. We performed a cost-minimization analysis of surgical and nonsurgical management of acute Achilles tendon rupture. METHODS: We used a claims database to identify patients who underwent surgical (n = 1,979) and nonsurgical (n = 3,065) management of acute Achilles tendon rupture and compared overall costs of treatment (surgical procedure, follow-up care, physical therapy, and management of complications). Complication rates were also calculated. Patients were followed for 1 year after injury. RESULTS: Average treatment costs in the year after initial diagnosis were higher for patients who underwent initial surgical treatment than for patients who underwent nonsurgical treatment ($4,292 for surgical treatment versus $2,432 for nonsurgical treatment; P < 0.001). However, surgical treatment required fewer office visits (4.52 versus 10.98; P < 0.001) and less spending on physical therapy ($595 versus $928; P < 0.001). Rates of rerupture requiring subsequent treatment (2.1% versus 2.4%; P = 0.34) and additional costs ($2,950 versus $2,515; P = 0.34) were not significantly different regardless whether initial treatment was surgical or nonsurgical. In both cohorts, management of complications contributed to approximately 5% of the total cost. CONCLUSION: From the payer's perspective, the overall costs of nonsurgical management of acute Achilles tendon rupture were significantly lower than the overall costs of surgical management. LEVEL OF EVIDENCE: III, Economic Decision Analysis.

VA residential substance use disorder treatment program providers' perceptions of facilitators and barriers to performance on pre-admission processes.

BACKGROUND: In the U.S. Department of Veterans Affairs (VA), residential treatment programs are an important part of the continuum of care for patients with a substance use disorder (SUD). However, a limited number of program-specific measures to identify quality gaps in SUD residential programs exist. This study aimed to: (1) Develop metrics for two pre-admission processes: Wait Time and Engagement While Waiting, and (2) Interview program management and staff about program structures and processes that may contribute to performance on these metrics. The first aim sought to supplement the VA's existing facility-level performance metrics with SUD program-level metrics in order to identify high-value targets for quality improvement. The second aim recognized that not all key processes are reflected in the administrative data, and even when they are, new insight may be gained from viewing these data in the context of day-to-day clinical practice. METHODS: VA administrative data from fiscal year 2012 were used to calculate pre-admission metrics for 97 programs (63 SUD Residential Rehabilitation Treatment Programs (SUD RRTPs); 34 Mental Health Residential Rehabilitation Treatment Programs (MH RRTPs) with a SUD track). Interviews were then conducted with management and front-line staff to learn what factors may have contributed to high or low performance, relative to the national average for their program type. We hypothesized that speaking directly to residential program staff may reveal innovative practices, areas for improvement, and factors that may explain system-wide variability in performance. RESULTS: Average wait time for admission was 16 days (SUD RRTPs: 17 days; MH RRTPs with a SUD track: 11 days), with 60% of Veterans waiting longer than 7 days. For these Veterans, engagement while waiting occurred in an average of 54% of the waiting weeks (range 3-100% across programs). Fifty-nine interviews representing 44 programs revealed factors perceived to potentially impact performance in these domains. Efficient screening processes, effective patient flow, and available beds were perceived to facilitate shorter wait times, while lack of beds, poor staffing levels, and lengths of stay of existing patients were thought to lengthen wait times. Accessible outpatient services, strong patient outreach, and strong encouragement of pre-admission outpatient treatment emerged as facilitators of engagement while waiting; poor staffing levels, socioeconomic barriers, and low patient motivation were viewed as barriers. CONCLUSIONS: Metrics for pre-admission processes can be helpful for monitoring residential SUD treatment programs. Interviewing program management and staff about drivers of performance metrics can play a complementary role by identifying innovative and other strong practices, as well as high-value targets for quality improvement. Key facilitators of high-performing facilities may offer programs with lower performance useful strategies to improve specific pre-admission processes.

Effects of a multifaceted implementation intervention to increase utilization of pharmacological treatments for alcohol use disorders in the US Veterans Health Administration.

Over 16 million Americans meet diagnostic criteria for alcohol use disorder (AUD), but only 7.8% of them receive formal treatment each year. Safe and effective pharmacological treatments for AUD exist; however, they are rarely prescribed. Therefore, we developed and pilot tested a multifaceted implementation intervention to improve consideration and receipt of effective pharmacologic treatments for AUD, focusing on primary care settings where patients have the most frequent contact with healthcare systems. The intervention included training of local providers to serve as champions and a website for primary care providers that included educational materials, a case-finding dashboard, and contact information for local and national clinical experts. We also mailed patients educational material about treatment options. The intervention was implemented at three large facilities of the Veterans Health Administration (VHA). An interrupted time series design, analyzed with segmented logistic regression, was used to evaluate the intervention's effects. The odds of a patient with AUD receiving one of the AUD medications was increasing throughout the pre-implementation period, and the rate of change (slope) increased significantly in the implementation period. Translating these numbers into percentages, at baseline 2.9% of patients filled a prescription for an AUD medication within 30days of a primary care visit. This increased to 3.8% by the end of the pre-implementation period (increasing 0.037% per month), and increased to 5.2% by the end of the implementation period (increasing 0.142% per month). However, the intervention effect was not significant when control sites were added, suggesting that improvement may have been driven by secular trends rather than solely by this intervention. Although the intervention was feasible, it was not effective. Continued analysis of process and implementation data including qualitative interviews with key stakeholders, may elucidate the reasons this intervention was not successful and ways to strengthen its effects.