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Hepatic encephalopathy (HE) is a common decompensating event in patients with cirrhosis. Because of the aging population of patients with cirrhosis, differentiating HE from nonhepatic etiologies of cognitive impairment, such as dementia, is increasingly important. Veterans with cirrhosis were identified via International Classification of Diseases -10 codes between October 1, 2019, and September 30, 2021, using the VA Corporate Data Warehouse. Baseline characteristics were compared between cohorts based on the presence vs absence of dementia. Factors associated with having a diagnosis of dementia were evaluated using multivariate logistic regression models, adjusting for demographics, comorbid illnesses, cirrhosis etiology, and cirrhosis complications. A total of 71,552 veterans with cirrhosis were identified, of which, 5,647 (7.89%) veterans had a diagnosis of dementia. Veterans with dementia were older, more frequently White, urban located, and diagnosed with alcohol-related cirrhosis, metabolic syndrome, brain trauma, and cerebrovascular disease more frequently. On multivariable analysis, the presence of any decompensating event was associated with dementia. Multivariable analysis of individual decompensating events revealed HE to be associated with a dementia diagnosis, but not ascites, independent of other risk factors analyzed. Dementia is commonly diagnosed in patients with cirrhosis and correlates with a diagnosis of HE, independent of alcohol use, brain injury, age, and other metabolic risk factors. Dementia did not correlate with other decompensating events. Increased awareness of the overlap between dementia and HE, as well as reliable diagnostic and treatment strategies, is needed for the aging population of veterans with cirrhosis.

Background Opioid users across federal poverty levels have varying healthcare consumption, which could influence public health policies to address the opioid crisis. To better understand this relationship, we evaluated the associations between federal poverty level (FPL) with healthcare costs and utilizations among adult opioid users in the United States (US). Methods A serial cross-sectional study using pooled data (2008–2019) from the Medical Expenditure Panel Survey (MEPS) was used to evaluate the association between FPL with healthcare expenditures among a representative sample of the US adult population with > = 1 opioid prescription. FPL was defined as Poor/Near Poor-Income, Low-Income, Middle-Income, and High-Income. Healthcare expenditures included costs and resource utilization. Survey weights were applied to generate standard errors for the representative sample of the US population. Generalized linear models were constructed to evaluate the association between FPL and healthcare expenditures adjusting for confounders. FPL groups were stratified by insurance coverage, frequency of opioid prescriptions filled, and pain level to evaluate their impact on healthcare expenditures. Results Total weighted sample was 27,289,263 respondents; 21.6% in Poor/Near Poor-Income, 14.9% in Low-Income, 28.6% in Middle-Income, and 34.9% in High-Income groups. The average annual increase in total healthcare costs for the Poor/Near Poor-Income group was $451 (95% CI: $142-$761), $275 (95% CI: $48-$502) for the Low-Income group, $640 (95% CI: $447-$834) for the Middle-Income group, and $618 (95% CI: $360-$877) for the High-Income group. Between-group comparisons yielded significant increases in average annual total healthcare costs for Middle- and High-Income groups versus Low-Income group; significant increases in average annual emergency room costs between Middle- versus Low-Income groups, and significant increases in average annual inpatient costs between Middle-Income versus Poor/Near Poor- and Low-Income groups. Stratified analyses yielded several significant increases in average annual costs and expenditures. However, no differences were reported for respondents who were uninsured across FPL groups. Conclusions Respondents across FPL groups consumed healthcare at various rates, particularly when stratified by insurance coverage, frequency of opioid prescriptions filled, and pain level. FPL plays an important role in healthcare consumption, but further research is needed to understand these mechanisms and their impact on the opioid crisis.

Inappropriate direct acting oral anti-coagulants (DOAC) prescribing increases the risk of adverse events. Population health management tools (PMTs) could help reduce adverse events through the early, efficient identification of questionable prescribing practices, but the impact of such a tool remains unknown. We evaluated the effect of PMT use on questionable DOAC dosing rates within 40 VHA medical centers and whether this effect differed by DOAC indication or agent. Medical centers were divided into PMT user or standard of care (SOC) groups based upon high or low tool access in the prior year. Questionable DOAC dosing rate was defined as the proportion of patients prescribed DOACs who were also flagged by the tool. Chi-square tests were used to determine if PMT user versus SOC groups differed with high (above 15.3%) versus low (below 15.3%) questionable dosing rates. T-tests were used to determine if mean questionable dosing rates significantly differed between the PMT user and SOC groups. DOAC PMT users were classified less frequently as being ‘High” questionable dosage rate compared to SOCs (25% PMT vs. 75% SOC, respectively, p = 0.002). DOAC PMT utilization within the overall cohort was associated with a 4.3% absolute reduction in questionable DOAC dosing rates (13.2% PMT vs 17.5% SOC; p = 0.01). Tool use within the atrial fibrillation (AF) subgroup was associated with a 5.1% absolute reduction in questionable dosing rates (10.4% SOC vs. 5.3% PMT, p < 0.001). Tool use was also associated with lower questionable dosing rates in the apixaban (p < 0.001), dabigatran (p = 0.03) and AF plus venous thromboembolism (p < 0.001) subgroups. In our study, PMT use was associated with reduced questionable DOAC dosing, a difference most pronounced within AF patients. A population health approach has the potential to reduce adverse events among patients prescribed DOACs.

Background Previous reports on healthcare costs and expenditures associated with populations prescribed an opioid primarily focused on populations who chronically use opioids or have opioid use disorder. However, studies that characterize the healthcare and expenditures costs among the wider number of people prescribed opioids in a nationally representative population are unavailable. We sought to characterize the healthcare costs and expenditures associated with a population prescribed an opioid in the U.S. from 2008 to 2017. Methods A serial cross-sectional design was used to compare the economic burden of adult household respondents who were prescribed and not prescribed an opioid using pooled data from the Medical Expenditure Panel Survey (MEPS) between 2008 and 2017. Respondents with an opioid prescription were matched to respondents without an opioid prescription using propensity score match methods with survey weights. Two-part generalized linear models were used to estimate the survey-weighted annual healthcare expenditures and resource utilization adjusting for multiple covariates. Additionally, 10-year trend comparisons between the groups were performed. Costs were adjusted to 2019 US dollars. Results There was a weighted total of 31,696,671 respondents with an opioid and 31,536,639 respondents without an opioid after propensity score matching. The sample had a mean (SD) age of 50.63 years (18.03), 58.9% females, and 81.6% Whites. Total annual economic burden among RPOs was $524 billion. Annual total expenditures per respondent with and without an opioid were $16,542 and $7067, respectively ( P  < 0.001). Similarly, adjusted prescription, outpatient, emergency department, and inpatient expenditures were significantly higher for respondents with an opioid compared to respondents without an opioid. Average annual increases in expenditures were significantly greater among respondents with an opioid compared to respondents without an opioid for total (+$185; 95% CI: $37–$334) and prescription (+$78; 95% CI: $28–$128) expenditures. There were no differences in the average annual trends for outpatient, emergency department, and inpatient expenditures between respondents with and without an opioid. Conclusions Respondents with an opioid prescription had higher healthcare expenditures and resource utilization compared to respondents without an opioid prescription from 2008 to 2017. Specifically, significant annual increases were observed for total and prescription expenditures. Additionally, 10-year trends in total and prescription expenditures were higher among respondents with an opioid than respondents without an opioid.

Background Because cirrhosis is often unrecognized, we aimed to develop a stepwise screening algorithm for cirrhosis in the Veterans Health Administration (VHA) and assess this approach’s feasibility and acceptability. Methods VHA hepatology clinicians (“champions”) were invited to participate in a pilot program from June 2020 to October 2022. The VHA Corporate Data Warehouse was queried to identify Veterans with possible undiagnosed cirrhosis using Fibrosis-4 (FIB-4) ≥ 3.25 and at least one risk factor for liver disease (e.g., obesity), and generate an age-stratified sample. Champions at four sites reviewed charts to confirm eligibility and contacted Veterans to offer further evaluation with elastography. Feasibility was defined as protocol implementation with completion of at least one elastography test and acceptability was defined based on Veteran- and clinician-reported surveys. Participation in the program, patient outcomes, adaptations to the protocol, and implementation barriers were also assessed. Results Four sites were able to implement the screening protocol. Adaptations included type of outreach (primary care vs. hepatology, phone vs. mail) and type of elastography used. One site chose to refer patients with clear evidence of cirrhosis directly to hepatology ( n  = 12) rather than to elastography. Key implementation barriers included staffing, primary care provider (PCP) comfort with interpreting and communicating results, and appointment availability during the COVID-19 pandemic. Of 488 patients whose charts were reviewed, 230 were excluded from outreach based on predefined criteria (e.g., advanced cancer, prior or current referral to hepatology). Champions and PCPs attempted to contact 165 of 246 Veterans who were deemed eligible for evaluation with elastography. Among 53 Veterans who completed elastography, 22 (42%) had findings consistent with significant fibrosis and were referred to hepatology. Clinicians and Veterans reported high acceptability of the program on surveys (80% of Veterans who completed survey). Conclusions This pilot demonstrated the feasibility, acceptability, and challenges of a multisite approach to cirrhosis screening.

Background While guidelines recommend twice-yearly liver cancer (hepatocellular carcinoma, HCC) surveillance for people with cirrhosis, adherence to these guidelines remains variable. We aimed to empirically identify and apply successful implementation strategies through Getting to Implementation (GTI), a manualized facilitation approach. Methods A hybrid type III, stepped-wedge, cluster-randomized trial was conducted at 12 underperforming Veterans Health Administration (VA) sites between October 2020 and October 2022. GTI included a stepwise approach to guide sites to detail their current state, set implementation goals, identify implementation barriers, select implementation strategies, make a work plan, conduct an evaluation, and sustain their work. Outcomes were defined using the Reach , Effectiveness , Adoption , Implementation , and Maintenance (RE-AIM) framework. Results Facilitators supported site teams with an average of 20±6 facilitation hours over a 12-month period. Ten of 12 sites (83%) adopted GTI and applied a median of five strategies (e.g., dashboard use, small tests of change, direct patient outreach). Reach , the primary outcome, increased from mean 29.1% to mean 38.8% at-risk Veterans receiving HCC surveillance from pre- to post-intervention, and further increasing to 41.3% in the sustainment period. In both unadjusted and adjusted models, the odds of HCC surveillance were significantly higher during intervention (adjusted odds ratio, aOR=1.67, 95% CI:1.59, 1.75) and during sustainment (aOR=1.69, 95% CI:1.60, 1.78) compared with baseline, and with difference between active and sustainment periods, indicating sustained improvement after active facilitation ended. Conclusions GTI sustainably improved HCC surveillance, suggesting that applying data-driven implementation strategies within a manualized facilitation approach can improve care. Clinical Trial Registration ClinicalTrials.gov , NCT04178096

Background Use of direct oral anticoagulants (DOAC) is rapidly growing for treatment of atrial fibrillation and venous thromboembolism. However, incorrect dosing of these medications is common and puts patients at risk of adverse drug events. One way to improve safe prescribing is the use of population health tools, including interactive dashboards built into the electronic health record (EHR). As such tools become more common, exploring ways to understand which aspects are effective in specific settings and how to effectively adapt and implement in existing anticoagulation clinics across different health systems is vital. Methods This three-phase project will evaluate a current nation-wide implementation effort of the DOAC Dashboard in the Veterans Health Administration (VHA) using both quantitative and qualitative methods. Informed by this evaluation, the DOAC Dashboard will be implemented in four new health systems using an implementation strategy derived from the VHA experience and interviews with providers in those new health systems. Quantitative evaluation of the VHA and non-VHA implementation will follow the Reach, Effectiveness, Adoption, Implementation, Maintenance (RE-AIM) framework. Qualitative interviews with stakeholders will be analyzed using the Consolidated Framework for Implementation Research and Technology Acceptance Models to identify key determinants of implementation success. Discussion This study will (1) evaluate the implementation of an EHR-based population health tool for medication management within a large, nation-wide, highly integrated health system; (2) guide the adoption in a set of four different health systems; and (3) evaluation that multi-center implementation effort. These findings will help to inform future EHR-based implementation efforts in a wide variety of health care settings.

Direct oral anticoagulant (DOAC) medications are frequently associated with inappropriate prescribing and adverse events. To improve the safe use of DOACs, health systems are implementing population health tools within their electronic health record (EHR). While EHR informatics tools can help increase awareness of inappropriate prescribing of medications, a lack of empowerment (or insufficient empowerment) of nonphysicians to implement change is a key barrier. This study examined how the individual authority of clinical pharmacists and anticoagulation nurses is impacted by and changes the implementation success of an EHR DOAC Dashboard for safe DOAC medication prescribing. We conducted semistructured interviews with pharmacists and nurses following the implementation of the EHR DOAC Dashboard at 3 clinical sites. Interview transcripts were coded according to the key determinants of implementation success. The intersections between individual clinician authority and other determinants were examined to identify themes. A high level of individual clinician authority was associated with high levels of key facilitators for effective use of the DOAC Dashboard (communication, staffing and work schedule, job satisfaction, and EHR integration). Conversely, a lack of individual authority was often associated with key barriers to effective DOAC Dashboard use. Positive individual authority was sometimes present with a negative example of another determinant, but no evidence was found of individual authority co-occurring with a positive instance of another determinant. Increased individual clinician authority is a necessary antecedent to the effective implementation of an EHR DOAC Population Management Dashboard and positively affects other aspects of implementation. RR2-10.1186/s13012-020-01044-5.

Background The adoption and sustainment of evidence-based practices (EBPs) is a challenge within many healthcare systems, especially in settings that have already strived but failed to achieve longer-term goals. The Veterans Affairs (VA) Maintaining Implementation through Dynamic Adaptations (MIDAS) Quality Enhancement Research Initiative (QUERI) program was funded as a series of trials to test multi-component implementation strategies to sustain optimal use of three EBPs: (1) a deprescribing approach intended to reduce potentially inappropriate polypharmacy; (2) appropriate dosing and drug selection of direct oral anticoagulants (DOACs); and (3) use of cognitive behavioral therapy as first-line treatment for insomnia before pharmacologic treatment. We describe the design and methods for a harmonized series of cluster-randomized control trials comparing two implementation strategies. Methods For each trial, we will recruit 8–12 clinics (24–36 total). All will have access to relevant clinical data to identify patients who may benefit from the target EBP at that clinic and provider. For each trial, clinics will be randomized to one of two implementation strategies to improve the use of the EBPs: (1) individual-level academic detailing (AD) or (2) AD plus the team-based Learn. Engage. Act. Process. (LEAP) quality improvement (QI) learning program. The primary outcomes will be operationalized across the three trials as a patient-level dichotomous response (yes/no) indicating patients with potentially inappropriate medications (PIMs) among those who may benefit from the EBP. This outcome will be computed using month-by-month administrative data. Primary comparison between the two implementation strategies will be analyzed using generalized estimating equations (GEE) with clinic-level monthly (13 to 36 months) percent of PIMs as the dependent variable. Primary comparative endpoint will be at 18 months post-baseline. Each trial will also be analyzed independently. Discussion MIDAS QUERI trials will focus on fostering sustained use of EBPs that previously had targeted but incomplete implementation. Our implementation approaches are designed to engage frontline clinicians in a dynamic optimization process that integrates the use of actional clinical data and making incremental changes, designed to be feasible within busy clinical settings. Trial registration ClinicalTrials.gov: NCT05065502 . Registered October 4, 2021—retrospectively registered.

INTRODUCTION:Hepatic encephalopathy (HE) is a common decompensating event in patients with cirrhosis. Because of the aging population of patients with cirrhosis, differentiating HE from nonhepatic etiologies of cognitive impairment, such as dementia, is increasingly important.METHODS:Veterans with cirrhosis were identified via International Classification of Diseases-10 codes between October 1, 2019, and September 30, 2021, using the VA Corporate Data Warehouse. Baseline characteristics were compared between cohorts based on the presence vs absence of dementia. Factors associated with having a diagnosis of dementia were evaluated using multivariate logistic regression models, adjusting for demographics, comorbid illnesses, cirrhosis etiology, and cirrhosis complications.RESULTS:A total of 71,552 veterans with cirrhosis were identified, of which, 5,647 (7.89%) veterans had a diagnosis of dementia. Veterans with dementia were older, more frequently White, urban located, and diagnosed with alcohol-related cirrhosis, metabolic syndrome, brain trauma, and cerebrovascular disease more frequently. On multivariable analysis, the presence of any decompensating event was associated with dementia. Multivariable analysis of individual decompensating events revealed HE to be associated with a dementia diagnosis, but not ascites, independent of other risk factors analyzed.DISCUSSION:Dementia is commonly diagnosed in patients with cirrhosis and correlates with a diagnosis of HE, independent of alcohol use, brain injury, age, and other metabolic risk factors. Dementia did not correlate with other decompensating events. Increased awareness of the overlap between dementia and HE, as well as reliable diagnostic and treatment strategies, is needed for the aging population of veterans with cirrhosis.