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Background: Patient enrollment levels at Veterans Health Administration (VHA) facilities change based on Veteran demand for care, potentially affecting demands on staff. Effects on burnout in the primary care workforce associated with increases or decreases in enrollment are unknown., Objective: Estimate associations between patient enrollment and burnout., Design: In this serial cross-sectional study, VHA patient enrollment and workforce data from 2014 to 2018 were linked to burnout estimates for 138 VHA facilities. The VHA's annual All Employee Survey provided burnout estimates., Participants: A total of 82,421 responses to the 2014-2018 All Employee Surveys by primary care providers (PCPs), including physicians, nurse practitioners, and physician assistants; nurses; clinical associates; and administrative clerks were included. Respondents identified as patient-aligned care team members., Main Measures: Independent variables were (1) the ratio of enrollment to PCPs at VHA facilities and (2) the year-over-year change in enrollment per PCP. Burnout was measured as the annual proportion of staff at VHA facilities who reported emotional exhaustion and/or depersonalization. Each primary care role was analyzed independently., Key Results: Overall enrollment decreased from 1553 enrollees per PCP in 2014 to 1442 enrollees per PCP in 2018 across VHA facilities. Forty-three facilities experienced increased enrollment (mean of 1524 enrollees/PCP in 2014 to 1668 in 2018) and 95 facilities experienced decreased enrollment (mean of 1566 enrollees/PCP in 2014 to 1339 in 2018). Burnout decreased for all primary care roles. PCP burnout was highest, decreasing from a facility-level mean of 51.7% in 2014 to 43.8% in 2018. Enrollment was not significantly associated with burnout for any role except nurses, for whom a 1% year-over-year increase in enrollment was associated with a 0.2 percentage point increase in burnout (95% CI: 0.1 to 0.3)., Conclusions: Studies assessing changes in organizational-level predictors are rare in burnout research. Patient enrollment predicted burnout only among nurses in primary care., (© 2023. The Author(s), under exclusive licence to Society of General Internal Medicine.)

Objectives: Electronic health record (EHR) inbox notifications can be burdensome for primary care providers (PCPs), potentially contributing to burnout. We estimated the association between changes in the quantities of EHR inbox notifications and PCP burnout., Study Design: In this observational study, we tested the association between the percent change in daily inbox notification volumes and PCP burnout after an initiative to reduce low-value notifications at the Veterans Health Administration (VHA)., Methods: The VHA initiative resulted in increases and decreases in notification volumes for PCPs. For each facility, the proportion of PCPs reporting burnout was estimated using VHA All Employee Survey responses before and after the initiative in 2016 and 2018, respectively. Survey responses were aggregated for 6459 PCPs (physicians, nurse practitioners, and physician assistants) at 138 VHA facilities. Fixed effects regression models estimated the association of small and large increases and small and large decreases in notifications on burnout., Results: Daily inbox notifications per PCP decreased by a mean (SD) of 5.9% (30.1%) across study facilities, from a mean (SD) of 128 (52) notifications to 114 (44) notifications after the initiative. Fifty-one percent of facilities experienced reductions in notifications, 30% experienced no change, and 20% experienced increased notifications. PCP burnout was not significantly associated with any level of increase or decrease in notifications., Conclusions: Changes in notification volumes alone did not predict PCP burnout. Future research to reduce burnout might still address EHR notification volumes, but as part of a broader set of strategies that consider the other stressors that PCPs experience.

Background: Opioid use disorder (OUD) is a serious health condition that is effectively treated with buprenorphine. However, only a minority of people with OUD are able to access buprenorphine. Many access points for buprenorphine have high barriers for initiation and retention. Health care and drug treatment systems have not been able to provide services to all-let alone the majority-who need it, and many with OUD report extreme challenges starting and staying on buprenorphine in those care settings. We describe the design and protocol for a study of a rapid access buprenorphine program model in six Washington State communities at existing sites serving people who are unhoused and/or using syringe services programs. This study aimed to test the effectiveness of a Community-Based Medication-First Program model., Methods: We are conducting a hybrid effectiveness-implementation study of a rapid access buprenorphine model of care staffed by prescribers, nurse care managers, and care navigators. The Community-Based Medication-First model of care was designed as a 6-month, induction-stabilization-transition model to be delivered between 2019 and 2022. Effectiveness outcomes will be tested by comparing the intervention group with a comparison group derived from state records of people who had OUD. Construction of the comparison group will align characteristics such as geography, demographics, historical rates of arrests, OUD medication, and health care utilization, using restriction and propensity score techniques. Outcomes will include arrests, emergency and inpatient health care utilization, and mortality rates. Descriptive statistics for buprenorphine utilization patterns during the intervention period will be documented with the prescription drug monitoring program., Discussion: Results of this study will help determine the effectiveness of the intervention. Given the serious population-level and individual-level impacts of OUD, it is essential that services be readily available to all people with OUD, including those who cannot readily access care due to their circumstances, capacity, preferences, and related systems barriers., (© 2022. The Author(s).)

Objective: To test associations between several opioid prescribing policy interventions and changes in early (acute/subacute) high-risk opioid prescribing practices., Data Sources: Population-based workers' compensation pharmacy billing and claims data, Washington State Department of Labor and Industries (January 2008-June 2015)., Study Design: We used interrupted time series analysis to test associations between three policy intervention timepoints and monthly proportions of population-based measures of high-risk, low-risk, and any workers' compensation-related opioid prescribing. We also tested associations between the policy intervention timepoints and five high-risk opioid prescribing indicators among workers prescribed any opioids within 3 months after injury: (a) >7 cumulative (not necessarily consecutive) days' supply of opioids during the acute phase, (b) high-dose opioids, (c) concurrent sedatives, (d) chronic opioids, and (e) a composite high-risk opioid prescribing indicator., Principal Findings: Within 3 months after injury, 9 percent of workers were exposed to high-risk and 12 percent to low-risk workers' compensation-related opioid prescribing; 79 percent filled no workers' compensation-related opioid prescription. Among workers prescribed any early (acute/subacute) opioids, the indicator for >7 days' supply of opioids during the acute phase was present for 30 percent, high-dose opioids for 18 percent, concurrent sedatives for 3 percent, and chronic opioids for 2 percent. Beyond a general shift toward more infrequent and lower-risk workers' compensation-related opioid prescribing, each policy intervention timepoint was significantly associated with reductions in specific acute/subacute high-risk opioid prescribing indicators; each of the four specific high-risk opioid prescribing indicators had significant reductions associated with at least one policy., Conclusions: Several state-level opioid prescribing policies were significantly associated with safer workers' compensation-related opioid prescribing practices during the first 3 months after injury (acute/subacute phase), which should in turn reduce transition to chronic opioids and associated negative health outcomes., (© 2020 Health Research and Educational Trust.)

Objectives: High-risk opioid-prescribing practices contribute to a national epidemic of opioid-related morbidity and mortality. The objective of this study was to determine whether the adoption of state-level opioid-prescribing guidelines that specify a high-dose threshold is associated with trends in rates of opioid overdose hospitalizations, for prescription opioids, for heroin, and for all opioids., Methods: We identified 3 guideline states (Colorado, Utah, Washington) and 5 comparator states (Arizona, California, Michigan, New Jersey, South Carolina). We used state-level opioid overdose hospitalization data from 2001-2014 for these 8 states. Data were based on the State Inpatient Databases and provided by the Healthcare Cost and Utilization Project (HCUP), Agency for Healthcare Research and Quality, via HCUPnet. We used negative binomial panel regression to model trends in annual rates of opioid overdose hospitalizations. We used a multiple-baseline difference-in-differences study design to compare postguideline trends with concurrent trends for comparator states., Results: For each guideline state, postguideline trends in rates of prescription opioid and all opioid overdose hospitalizations decreased compared with trends in the comparator states. The mean annual relative percentage decrease ranged from 3.2%-7.5% for trends in rates of prescription opioid overdose hospitalizations and from 5.4%-8.5% for trends in rates of all opioid overdose hospitalizations., Conclusions: These findings provide preliminary evidence that opioid-dosing guidelines may be an effective strategy for combating this public health crisis. Further research is needed to identify the individual effects of opioid-related interventions that occurred during the study period.

Objective: To describe characteristics of industrial injury hospitalizations, and to test the hypothesis that industrial injuries were increasingly billed to non-workers' compensation (WC) payers over time., Data Sources: Hospitalization data for 1998-2009 from State Inpatient Databases, Healthcare Cost and Utilization Project, and Agency for Healthcare Research and Quality., Study Design: Retrospective secondary analyses described the distribution of payer, age, gender, race/ethnicity, and injury severity for injuries identified using industrial place of occurrence codes. Logistic regression models estimated trends in expected payer., Principal Findings: There was a significant increase over time in the odds of an industrial injury not being billed to WC in California and Colorado, but a significant decrease in New York. These states had markedly different WC policy histories. Industrial injuries among older workers were more often billed to a non-WC payer, primarily Medicare., Conclusions: Findings suggest potentially dramatic cost shifting from WC to Medicare. This study adds to limited, but mounting evidence that, in at least some states, the burden on non-WC payers to cover health care for industrial injuries is growing, even while WC-related employer costs are decreasing-an area that warrants further research., (© Health Research and Educational Trust.)

Objectives: Work-related traumatic injury is a leading cause of death and disability among US workers. Occupational injury surveillance is necessary for effective prevention planning and assessing progress toward Healthy People 2020 objectives. Our objectives were to (1) describe the Washington State Trauma Registry (WTR) as a resource for occupational injury surveillance and research, (2) compare the WTR with 2 population-based data sources more widely used for these purposes, and (3) compare the number of injuries ascertained by the WTR with other data sources., Methods: We linked WTR records to hospital discharge records in the Comprehensive Hospital Abstract Reporting System for 2009 and to workers' compensation claims from the Washington State Department of Labor and Industries for 1998 to 2008. We assessed the 3 data sources for overlap, concordance, and case ascertainment., Results: Of 9185 work-related injuries in the WTR, 3380 (37%) did not link to workers' compensation claims. Use of payer information in hospital discharge records along with the WTR work-relatedness field identified 20% more linked injuries as work related (n = 720) than did use of payer information alone (n = 602). The WTR identified substantial numbers of work-related injuries that were not identified through workers' compensation or hospital discharge records., Conclusions: Workers' compensation and hospital discharge databases are important but incomplete data sources for work-related injuries; many work-related injuries are not billed to, reported to, or covered by workers' compensation. Trauma registries are well positioned to capture severe work-related injuries and should be included in comprehensive injury surveillance efforts., Competing Interests: The author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.

Objective: This study describes injury characteristics and costs of work-related traumatic brain injury (WRTBI) among 16-24 year olds in Washington State between 1998 and 2008., Methods: WRTBIs were identified in the Washington Trauma Registry (WTR) and linked to workers' compensation (WC) claims data. Medical and time-loss compensation costs were compared between workers with isolated TBI and TBI with other trauma., Results: Of 273 WRTBI cases identified, most (61.5%) were TBI with other trauma. One-third of WRTBI did not link to a WC claim. Medical costs averaged $88,307 (median $16,426) for isolated TBI cases, compared to $73,669 (median $41,167) for TBI with other trauma., Conclusions: Results highlight the financial impact of WRTBI among young workers. Multiple data sources provided a more comprehensive picture than a single data source alone. This linked-data approach holds great potential for future traumatic occupational injury research., Impact on Industry: TBI among young workers not only involves long-term health and psychological impacts, but is costly as well., (Copyright © 2013 National Safety Council and Elsevier Ltd. All rights reserved.)

Background: Although brief intervention (BI) for alcohol and other drug problems has been associated with subsequent decreased levels of self-reported substance use, there is little information in the extant literature as to whether individuals with co-occurring hazardous substance use and mental illness would benefit from BI to the same extent as those without mental illness. This is an important question, as mental illness is estimated to co-occur in 37% of individuals with an alcohol use disorder and in more than 50% of individuals with a drug use disorder. The goal of this study was to explore differences in self-reported alcohol and/or drug use in patients with and without mental illness diagnoses six months after receiving BI in a hospital emergency department (ED)., Methods: This study took advantage of a naturalistic situation where a screening, brief intervention, and referral to treatment (SBIRT) program had been implemented in nine large EDs in the US state of Washington as part of a national SBIRT initiative. A subset of patients who received BI was interviewed six months later about current alcohol and drug use. Linear regression was used to assess whether change in substance use measures differed among patients with a mental illness diagnosis compared with those without. Data were analyzed for both a statewide (n = 828) and single-hospital (n = 536) sample., Results: No significant differences were found between mentally ill and non-mentally ill subgroups in either sample with regard to self-reported hazardous substance use at six-month follow-up., Conclusion: These results suggest that BI may not have a differing impact based on the presence of a mental illness diagnosis. Given the high prevalence of mental illness among individuals with alcohol and other drug problems, this finding may have important public health implications.