A novel method for measuring the burden of breast cancer in neighborhoods.

Community-based breast cancer prevention efforts often focus on women who live in the same neighborhoods, as they tend to have similar demographic characteristics, health behaviors, and environmental exposures; yet little research describes methods of selecting neighborhoods of focus for community-based cancer prevention interventions. Studies frequently use demographics from census data, or single breast cancer outcomes (e.g., mortality, morbidity) in order to choose neighborhoods of focus for breast cancer interventions, which may not be optimal. This study presents a novel method for measuring the burden of breast cancer among neighborhoods that could be used for selecting neighborhoods of focus. In this study, we 1) calculate a metric composed of multiple breast cancer outcomes to describe the burden of breast cancer in census tracts Philadelphia, PA, USA; 2) map the neighborhoods with the greatest breast cancer burden; and 3) compare census tracts with the highest burden of breast cancer to those with demographics sometimes used for geo-based prioritization, i.e., race and income. The results of our study showed that race or income may not be appropriate proxies for neighborhood breast cancer burden; comparing the breast cancer burden with demographics at the census tract level, we found few overlaps with the highest percentage African American or the lowest median incomes. Agencies implementing community-based breast cancer interventions should consider this method to inform the selection of neighborhoods for breast cancer prevention interventions, including education, screening, and treatment.

Clinical Validity of the PROMIS Healthcare Engagement 8-Item Short Form.

BACKGROUND: Healthcare engagement is a key measurement target for value-based healthcare, but a reliable and valid patient-reported measure has not yet been widely adopted. OBJECTIVE: To assess the validity of a newly developed patient-reported measure of healthcare engagement, the 8-item PROMIS Healthcare Engagement (PHE-8a). DESIGN: Prospective cohort study of the association between healthcare engagement and quality of care over 1 year. We fit mixed effects models of quality indicators as a function of engagement scores, adjusting for age, race/ethnicity, rural residence, and risk scores. PARTICIPANTS: National stratified random sample of 9552 Veterans receiving Veterans Health Administration care for chronic conditions (hypertension, diabetes) or mental health conditions (depression, post-traumatic stress disorder). MAIN MEASURES: Patient experience: Consumer Assessment of Health Plans and Systems communication and self-management support composites; no-show rates for primary care and mental health appointments; use of patient portal My HealtheVet; and Healthcare Effectiveness Data and Information Set electronic quality measures: HbA1c poor control, controlling high blood pressure, and hyperlipidemia therapy adherence. KEY RESULTS: Higher engagement scores were associated with better healthcare quality across all outcomes, with each 5-point increase (1/2 standard deviation) in engagement scores associated with statistically significant and clinically meaningful gains in quality. Across the continuum of low to high engagement scores, we observed a concomitant reduction in primary care no-show rates of 37% and 24% for mental health clinics; an increased likelihood of My HealtheVet use of 15.4%; and a decreased likelihood of poor diabetes control of 44%. CONCLUSIONS: The PHE-8a is a brief, reliable, and valid patient-reported measure of healthcare engagement. These results confirm previously untested hypotheses that patient engagement can promote healthcare quality.

A cross-linguistic, sound symbolic relationship between labial consonants, voiced plosives, and Pokémon friendship.

Introduction: This paper presents a cross-linguistic study of sound symbolism, analysing a six-language corpus of all Pokémon names available as of January 2022. It tests the effects of labial consonants and voiced plosives on a Pokémon attribute known as friendship. Friendship is a mechanic in the core series of Pokémon video games that arguably reflects how friendly each Pokémon is. Method: Poisson regression is used to examine the relationship between the friendship mechanic and the number of times /p/, /b/, /d/, /m/, /g/, and /w/ occur in the names of English, Japanese, Korean, Chinese, German, and French Pokémon. Results: Bilabial plosives, /p/ and /b/, typically represent high friendship values in Pokémon names while /m/, /d/, and /g/ typically represent low friendship values. No association is found for /w/ in any language. Discussion: Many of the previously known cases of cross-linguistic sound symbolic patterns can be explained by the relationship between how sounds in words are articulated and the physical qualities of the referents. This study, however, builds upon the underexplored relationship between sound symbolism and abstract qualities.

Effect of a Predictive Analytics-Targeted Program in Patients on Opioids: a Stepped-Wedge Cluster Randomized Controlled Trial.

BACKGROUND: Risk of overdose, suicide, and other adverse outcomes are elevated among sub-populations prescribed opioid analgesics. To address this, the Veterans Health Administration (VHA) developed the Stratification Tool for Opioid Risk Mitigation (STORM)-a provider-facing dashboard that utilizes predictive analytics to stratify patients prescribed opioids based on risk for overdose/suicide. OBJECTIVE: To evaluate the impact of the case review mandate on serious adverse events (SAEs) and all-cause mortality among high-risk Veterans. DESIGN: A 23-month stepped-wedge cluster randomized controlled trial in all 140 VHA medical centers between 2018 and 2020. PARTICIPANTS: A total of 44,042 patients actively prescribed opioid analgesics with high STORM risk scores (i.e., percentiles 1% to 5%) for an overdose or suicide-related event. INTERVENTION: A mandate requiring providers to perform case reviews on opioid analgesic-prescribed patients at high risk of overdose/suicide. MAIN MEASURES: Nine serious adverse events (SAEs), case review completion, number of risk mitigation strategies, and all-cause mortality. KEY RESULTS: Mandated review inclusion was associated with a significant decrease in all-cause mortality within 4 months of inclusion (OR: 0.78; 95% CI: 0.65-0.94). There was no detectable effect on SAEs. Stepped-wedge analyses found that mandated review patients were five times more likely to receive a case review than non-mandated patients with similar risk (OR: 5.1; 95% CI: 3.64-7.23) and received more risk mitigation strategies than non-mandated patients (0.498; CI: 0.39-0.61). CONCLUSIONS: Among VHA patients prescribed opioid analgesics, identifying high risk patients and mandating they receive an interdisciplinary case review was associated with a decrease in all-cause mortality. Results suggest that providers can leverage predictive analytic-targeted population health approaches and interdisciplinary collaboration to improve patient outcomes. TRIAL REGISTRATION: ISRCTN16012111.

Randomized Policy Evaluation of the Veterans Health Administration Stratification Tool for Opioid Risk Mitigation (STORM).

BACKGROUND: The Veterans Health Administration (VHA) developed a dashboard Stratification Tool for Opioid Risk Mitigation (STROM) to guide clinical practice interventions. VHA released a policy mandating that high-risk patients of an adverse event based on the STORM dashboard are to be reviewed by an interdisciplinary team of clinicians. AIM: Randomized program evaluation to evaluate if patients in the oversight arm had a lower risk of opioid-related serious adverse events (SAEs) or death compared to those in the non-oversight arm. SETTING AND PARTICIPANTS: One-hundred and forty VHA facilities (aka medical centers) were randomly assigned to two groups: oversight and non-oversight arms. VHA patients who were prescribed opioids between April 18, 2018, and November 8, 2019, were included in the cohort. PROGRAM DESCRIPTION: We hypothesized that patients cared for by VHA facilities that received the policy with the oversight accountability language would achieve lower opioid-related SAEs or death. PROGRAM EVALUATION: We did not observe a relationship between the oversight arm and opioid-related SAEs or death. Patients in the non-oversight arm had a significantly higher chance of receiving a case review compared to those in the oversight arm. DISCUSSION: Even though our findings were unexpected, the STORM policy overall was likely successful in focusing the provider's attention on very high-risk patients.

Long-Term Benzodiazepine Use and Discontinuation Among Patients in the U.S. Veterans Health Administration.

Objective: Although long-term benzodiazepine use is not recommended, patients are often prescribed benzodiazepines for >30 days (long-term use). Data from the Veterans Health Administration (VHA) may inform efforts to discontinue such use. This study sought to describe benzodiazepine use and discontinuation among VHA patients and compared patients who continued and discontinued use. Methods: The study used nationwide electronic health record data for all VHA-enrolled patients (age ≥18) from fiscal year (FY) 2019 (N=6,032,613). The primary outcome, benzodiazepine discontinuation, was defined as no prescription refill for 120 days. Results: In FY2019, 3.5% of VHA enrollees were prescribed benzodiazepines for >30 days, which was 72.0% of those prescribed benzodiazepines. One-third of veterans prescribed long-term benzodiazepines discontinued use. Continuation was more likely among patients who were older, not Black, taking benzodiazepines longer, and taking higher doses. When demographic factors were controlled, patients who continued long-term use were more likely to have a diagnosis of anxiety, posttraumatic stress disorder (PTSD), bipolar disorder, or psychosis and less likely to have depression or an alcohol or drug use disorder. Continuation was associated with a lower likelihood of sleep and cardiopulmonary disorders and of dementia. Conclusions: Higher discontinuation prevalence among patients with substance use disorders, dementia, or cardiopulmonary disorders is encouraging. However, the challenge remains of discontinuing long-term use among patients who are White, older, or diagnosed as having anxiety, PTSD, bipolar disorder, or psychosis. There is a need to identify provider, patient, and contextual factors driving long-term benzodiazepine use in these patient groups to effectively apply evidence-based discontinuation strategies.

Estimating Eligibility for Lung Cancer Screening by Neighborhood in Philadelphia Using Previous and Current USPSTF Guidelines.

The National Lung Screening Trial established the benefits of low-dose computed tomography for lung cancer screening (LCS) to identify lung cancer at earlier stages. In February 2021, the US Preventive Services Task Force (USPSTF) revised the eligibility recommendations to increase the number of high-risk individuals eligible for LCS and, in effect, expand screening eligibility for vulnerable populations. One strategy for facilitating LCS is to implement targeted screening in geographic areas with the greatest need. In Philadelphia, although neighborhood smoking rates have been defined, it is not known which neighborhoods have the greatest number of people eligible for LCS. In this study, the authors estimate eligibility for LCS within Philadelphia neighborhoods using both previous and current USPSTF guidelines. They used the Public Health Management Corporation's Household Health Survey from 2010, 2012, and 2015 to identify the number of people within ever-smoker groups (current every day, current occasional, and former smokers) by neighborhood in Philadelphia. Using the 2015 National Health Interview Survey (NHIS) Cancer Supplement, they identified the percentages within ever-smoker groups that were LCS eligible using the previous and current USPSTF guidelines. Finally, they applied the percentages eligible for the ever-smoker groups from the NHIS to the numbers in these groups within Philadelphia neighborhoods. They found that the number of Philadelphians eligible for LCS increased from 41,946 to 89,231 after the revised USPSTF guidelines. The current USPSTF guidelines increased eligibility for LCS within all Philadelphia neighborhoods, with the greatest increases in the River Wards planning district. Local providers should use these results to prioritize LCS services within neighborhoods with greatest eligibility.

A platform for oncogenomic reporting and interpretation.

Manual interpretation of variants remains rate limiting in precision oncology. The increasing scale and complexity of molecular data generated from comprehensive sequencing of cancer samples requires advanced interpretative platforms as precision oncology expands beyond individual patients to entire populations. To address this unmet need, we introduce a Platform for Oncogenomic Reporting and Interpretation (PORI), comprising an analytic framework that facilitates the interpretation and reporting of somatic variants in cancer. PORI integrates reporting and graph knowledge base tools combined with support for manual curation at the reporting stage. PORI represents an open-source platform alternative to commercial reporting solutions suitable for comprehensive genomic data sets in precision oncology. We demonstrate the utility of PORI by matching 9,961 pan-cancer genome atlas tumours to the graph knowledge base, calculating therapeutically informative alterations, and making available reports describing select individual samples.

A Mixed Methods Case Study of Food Shopping in a Community with High Infant Mortality.

In the U.S., preterm birth disproportionately impacts certain racial/ethnic groups, with Black women experiencing preterm birth at a rate 50% higher than other groups. Among the numerous factors that likely contribute to these increased rates are neighborhood characteristics, such as food environment. In this mixed-methods case study, we evaluated how pregnant women living in a predominately minority, lower income community with high preterm birth rates navigate and perceive their food environment. Qualitative interviews were performed to assess perceptions of food environment (n = 7) along with geographic and observational assessments of their food environment. Participants traveled an average of 2.10 miles (SD = 1.16) and shopped at an average of 3 stores. They emphasized the importance of pricing and convenience when considering where to shop and asserted that they sought out healthier foods they thought would enhance their pregnancy health. Observational assessments of stores' nutrition environment showed that stores with lower nutritional scores were in neighborhoods with greater poverty and a higher percent Black population. Future policies and programmatic efforts should focus on improving nutrition during pregnancy for women living in communities with high rates of poor birth outcomes. Availability, affordability, and accessibility are key aspects of the food environment to consider when attempting to achieve birth equity.

Corticotropin-Releasing Hormone from the Pontine Micturition Center Plays an Inhibitory Role in Micturition.

Lower urinary tract or voiding disorders are prevalent across all ages and affect >40% of adults over 40 years old, leading to decreased quality of life and high health care costs. The pontine micturition center (PMC; i.e., Barrington's nucleus) contains a large population of neurons that localize the stress-related neuropeptide, corticotropin-releasing hormone (CRH) and project to neurons in the spinal cord to regulate micturition. How the PMC and CRH-expressing neurons in the PMC control volitional micturition is of critical importance for human voiding disorders. To investigate the specific role of CRH in the PMC, neurons in the PMC-expressing CRH were optogenetically activated during in vivo cystometry in unanesthetized mice of either sex. Optogenetic activation of CRH-PMC neurons led to increased intermicturition interval and voided volume, similar to the altered voiding phenotype produced by social stress. Female mice showed a significantly more pronounced phenotype change compared with male mice. These effects were eliminated by CRH-receptor 1 antagonist pretreatment. Optogenetic inhibition of CRH-PMC neurons led to an altered voiding phenotype characterized by more frequent voids and smaller voided volumes. Last, in a cyclophosphamide cystitis model of bladder overactivity, optogenetic activation of CRH-PMC neurons returned the voiding pattern to normal. Collectively, our findings demonstrate that CRH from PMC spinal-projecting neurons has an inhibitory function on micturition and is a potential therapeutic target for human disease states, such as voiding postponement, urinary retention, and underactive or overactive bladder.SIGNIFICANCE STATEMENT The pontine micturition center (PMC), which is a major regulator of volitional micturition, is neurochemically heterogeneous, and excitatory neurotransmission derived from PMC neurons is thought to mediate the micturition reflex. In the present study, using optogenetic manipulation of CRH-containing neurons in double-transgenic mice, we demonstrate that CRH, which is prominent in PMC-spinal projections, has an inhibitory function on volitional micturition. Moreover, engaging this inhibitory function of CRH can ameliorate bladder hyperexcitability induced by cyclophosphamide in a model of cystitis. The data underscore CRH as a novel target for the treatment of voiding dysfunctions, which are highly prevalent disease processes in children and adults.

Psychometric evaluation of a patient-reported item bank for healthcare engagement.

PURPOSE: Healthcare engagement is a core measurement target for efforts to improve healthcare systems. This construct is broadly defined as the extent to which healthcare services represent collaborative partnerships with patients. Previous qualitative work operationalized healthcare engagement as generalized self-efficacy in four related subdomains: self-management, collaborative communication, health information use, and healthcare navigation. Building on this work, our objective was to establish a healthcare engagement instrument that is sufficiently unidimensional to yield a single score. METHOD: We conducted cognitive interviews followed by a nation-wide mail survey of US Veteran Administration (VA) healthcare users. Data were collected on 49 candidate healthcare engagement items, as well as measures of self-efficacy for managing symptoms, provider communication, and perceived access. Items were subjected to exploratory bifactor, statistical learning, and IRT analyses. RESULTS: Cognitive interviews were completed by 56 patients and 9552 VA healthcare users with chronic conditions completed the mail survey. Participants were mostly white and male but with sizable minority participation. Psychometric analyses and content considerations reduced the item pool to 23 items, which demonstrated a strong general factor (OmegaH of .89). IRT analyses revealed a high level of reliability across the trait range and little DIF across groups. Most health information use items were removed during analyses, suggesting a more independent role for this domain. CONCLUSION: We provide quantitative evidence for a relatively unidimensional measure of healthcare engagement. Despite developed with VA healthcare users, the measure is intended for general use. Future work includes short-form development and validation with other patient groups.

Spontaneous neoplasia in captive syngnathid species: A retrospective case series (2003-2014) and literature review.

Syngnathidae (seahorses, pipefish and seadragons) are charismatic species commonly kept in commercial aquaria, but published literature on syngnathid diseases is limited and immunohistochemical techniques not routinely employed. A retrospective review of 2,541 syngnathid submissions received between March 2003 and October 2016 identified 18 neoplasms including germ cell tumours, exocrine pancreatic and intestinal carcinomas, chromatophoromas, and single cases of lymphoma, thyroid and renal carcinoma, swim bladder and pituitary adenoma. Big-bellied seahorses accounted for 19% of submissions, but 50% of neoplasms were diagnosed in this species. This study includes the first reported cases of germ cell tumours, chromatophoroma, thyroid carcinoma and pituitary adenoma in Syngnathidae and the first reports of neoplasia in pipefish species. Out of nine commercial antibodies trialled for immunohistochemical characterization of neoplastic tissue, only pan-cytokeratin proved cross-reactive. Electron microscopy was performed in four cases. Tumours should be considered as differential diagnosis in cases with buoyancy issues, debilitated or emaciated animals, and may predispose to secondary infections. This study highlights the value of histopathological disease surveillance for commercial aquarium settings.

Tracking implementation strategies in the randomized rollout of a Veterans Affairs national opioid risk management initiative.

BACKGROUND: In 2018, the Department of Veterans Affairs (VA) issued Notice 2018-08 requiring facilities to complete "case reviews" for Veterans identified in the Stratification Tool for Opioid Risk Mitigation (STORM) dashboard as high risk for adverse outcomes among patients prescribed opioids. Half of the facilities were randomly assigned to a Notice version including additional oversight. We evaluated implementation strategies used, whether strategies differed by randomization arm, and which strategies were associated with case review completion rates. METHODS: Facility points of contact completed a survey assessing their facility's use of 68 implementation strategies based on the Expert Recommendations for Implementing Change taxonomy. We collected respondent demographic information, facility-level characteristics, and case review completion rates (percentage of high-risk patients who received a case review). We used Kruskal-Wallis tests and negative binomial regression to assess strategy use and factors associated with case reviews. RESULTS: Contacts at 89 of 140 facilities completed the survey (64%) and reported using a median of 23 (IQR 16-31) strategies. The median case review completion rate was 71% (IQR 48-95%). Neither the number or types of strategies nor completion rates differed by randomization arm. The most common strategies were using the STORM dashboard (97%), working with local opinion leaders (80%), and recruiting local partners (80%). Characteristics associated with case review completion rates included respondents being ≤ 35 years old (incidence rate ratio, IRR 1.35, 95% CI 1.09-1.67) and having < 5 years in their primary role (IRR 1.23; 95% CI 1.01-1.51), and facilities having more prior academic detailing around pain and opioid safety (IRR 1.40, 95% CI 1.12-1.75). Controlling for these characteristics, implementation strategies associated with higher completion rates included (1) monitoring and adjusting practices (adjusted IRR (AIRR) 1.40, 95% CI 1.11-1.77), (2) identifying adaptations while maintaining core components (AIRR 1.28, 95% CI 1.03-1.60), (3) conducting initial training (AIRR 1.16, 95% CI 1.02-1.50), and (4) regularly sharing lessons learned (AIRR 1.32, 95% CI 1.09-1.59). CONCLUSIONS: In this national evaluation of strategies used to implement case reviews of patients at high risk of opioid-related adverse events, point of contact age and tenure in the current role, prior pain-related academic detailing at the facility, and four specific implementation strategies were associated with case review completion rates, while randomization to additional centralized oversight was not. TRIAL REGISTRATION: This project is registered at the ISRCTN Registry with number ISRCTN16012111. The trial was first registered on May 3, 2017.

Factors Influencing Primary Care Providers' Unneeded Lumbar Spine MRI Orders for Acute, Uncomplicated Low-Back Pain: a Qualitative Study.

BACKGROUND: Clinical practice guidelines suggest that magnetic resonance imaging of the lumbar spine (LS-MRI) is unneeded during the first 6 weeks of acute, uncomplicated low-back pain. Unneeded LS-MRIs do not improve patient outcomes, lead to unnecessary surgeries and procedures, and cost the US healthcare system about $300 million dollars per year. However, why primary care providers (PCPs) order unneeded LS-MRI for acute, uncomplicated low-back pain is poorly understood. OBJECTIVE: To characterize and explain the factors contributing to PCPs ordering unneeded LS-MRI for acute, uncomplicated low-back pain. DESIGN: Qualitative study using semi-structured interviews. PARTICIPANTS: Veterans Affairs PCPs identified from administrative data as having high or low rates of guideline-concordant LS-MRI ordering in 2016. APPROACH: Providers were interviewed about their use of LS-MRI for acute, uncomplicated low-back pain and factors contributing to their decision-making. Directed content analysis of transcripts was conducted to identify and compare environmental-, patient-, and provider-level factors contributing to unneeded LS-MRI. KEY RESULTS: Fifty-five PCPs participated (8.6% response rate). Both low (n = 33) and high (n = 22) guideline-concordant providers reported that LS-MRIs were required for specialty care referrals, but they differed in how other environmental factors (stringency of radiology utilization review, management of patient travel burden, and time constraints) contributed to LS-MRI ordering patterns. Low- and high-guideline-concordant providers reported similar patient factors (beliefs in value of imaging and pressure on providers). However, provider groups differed in how provider-level factors (guideline familiarity and agreement, the extent to which they acquiesced to patients, and belief in the value of LS-MRI) contributed to LS-MRI ordering patterns. CONCLUSIONS: Results describe how diverse environmental, patient, and provider factors contribute to unneeded LS-MRI for acute, uncomplicated low-back pain. Prior research using a single intervention to reduce unneeded LS-MRI has been ineffective. Results suggest that multifaceted de-implementation strategies may be required to reduce unneeded LS-MRI.

"They are interrelated, one feeds off the other": A taxonomy of perceived disease interactions derived from patients with multiple chronic conditions.

OBJECTIVE: To understand patients' experiences with condition interactions and develop a taxonomy to inform care for patients with multiple chronic conditions. METHODS: We conducted qualitative and quantitative analysis of free-text data from patient surveys in which respondents were asked to indicate their most bothersome chronic condition and describe how their other conditions affect their self-care for that condition. Using standard content analysis, we developed a taxonomy comprising how patients perceive interactions among their conditions, and examined cross-cutting themes that reflect qualities of these interactions. RESULTS: Among 383 eligible survey respondents, the mean (SD) number of chronic conditions was 4 (2); common conditions included hypertension (60%), chronic pain (49%), arthritis (41%), depression (32%), diabetes (29%), and post-traumatic stress disorder (26%). Patients' perceived condition interactions took four broad forms: 1) unidirectional interactions among conditions and/or treatments, 2) cyclical or multidimensional interactions, 3) uncertain or indistinct interactions, and 4) no perceived interaction. Cross-cutting themes included beliefs about causal relationships between conditions, identification of interactions as negative vs. positive, and interactions between physical and mental health. CONCLUSION: This study presents a novel taxonomy of condition interactions from the patient perspective. PRACTICE IMPLICATIONS: Understanding perceived condition interactions may support patient self-management and shared decision-making efforts.

Opportunity or Burden? A Behavioral Framework for Patient Engagement.

BACKGROUND: Engaging patients as partners in their care is clinically appealing, yet challenging to implement, and we lack a measurement framework that is applicable to vulnerable populations. To address this gap, we conducted a qualitative study to refine a conceptual framework that reflects an individual's propensity to engage with care. OBJECTIVES: Our objectives were to refine the framework's domains of engagement behavior; identify key behaviors within each domain that describe engagement with providers, health systems or settings; and illustrate examples for each behavior where higher self-efficacy describes an opportunity to enhance engagement, and lower self-efficacy describes difficulties with engagement that risk burden. RESEARCH DESIGN AND SAMPLE: We elicited patient perspectives by conducting individual semistructured interviews with veterans receiving care for mental health and/or chronic conditions from the Veterans Health Administration. Data were analyzed using the framework method. RESULTS: The resulting engagement framework encompassed 4 interrelated domains: Self-Management, Health Information Use, Collaborative Communication, and Healthcare Navigation. The propensity to engage with care was conceptualized as the cumulative self-efficacy to engage in behaviors across these domains. Results emphasize the collaborative nature of engagement behaviors and the impact of veteran cultural influences via perceptions of collective efficacy. CONCLUSIONS: This framework can be applied to judgments regarding a patient's propensity to engage in care. Because self-efficacy is an individual's context-specific judgment of their capabilities, this framework may inform health care and social service interventions that aim to engage patients. This maybe especially useful for public sector settings and populations with social risks.

Randomized program evaluation of the Veterans Health Administration Stratification Tool for Opioid Risk Mitigation (STORM): A research and clinical operations partnership to examine effectiveness.

The United States is facing an opioid crisis in which overdose is the leading cause of injury death-misuse of opioids constitutes the vast majority of those deaths. In 2016 alone, over 42,000 people died from opioid overdose, an increase of 27% from the prior year. Deployment of the Stratification Tool for Opioid Risk Mitigation (STORM), a clinical decision support tool to improve opioid safety, is one response by the Veterans Health Administration (VHA) to the opioid crisis. STORM identifies VHA patients at very high risk of opioid-related adverse events and lists potential risk mitigation strategies. Deployment of STORM also helps VHA meet certain requirements of the Comprehensive Addiction and Recovery Act of 2016. In alignment with the VHA's learning health care system initiative, a multidisciplinary team designed a randomized evaluation of a policy approach to mandating case reviews of very-high-risk patients identified by STORM and the impacts of patient inclusion versus exclusion in mandated STORM case reviews using a stepped-wedge design. The STORM evaluation involves drafting the policy notice, shepherding it through the VHA approval process, and implementing the cluster randomized design. This mixed-methods evaluation includes (1) a qualitative assessment of medical center implementation strategies with the aim of understanding of how STORM is incorporated into practice, and (2) quantitative analyses of the relations between policy mandates and STORM inclusion on opioid-related adverse events. The findings from this synergistic research design will yield critical insights for VHA leadership to refine opioid prescribing-related policy and practice.

Overdose Risk Associated with Opioid Use upon Hospital Discharge in Veterans Health Administration Surgical Patients.

OBJECTIVE: To determine an association between opioid use upon hospital discharge (ongoing and newly started) in surgical patients and risks of opioid overdose and delirium for the first year. DESIGN: Retrospective, cohort study. SETTING: Population-level study of Veterans Health Administration patients. SUBJECTS: All Veterans Health Administration patients (N = 64,391) who underwent surgery in 2011, discharged after one or more days, and without a diagnosis of opioid overdose or delirium from 90 days before admission through 30 days postdischarge (to account for additional opioid dosing in the context of chronic use). METHODS: Patients' opioid use was categorized as 1) no opioids, 2) tramadol only, 3) short-acting only, 4) long-acting only, 5) short- and long-acting. We calculated unadjusted incidence rates and the incidence rate ratio (IRR) for opioid overdose and drug delirium for two time intervals: postdischarge days 0-30 and days 31-365. We then modeled outcomes of opioid overdose and delirium for postdischarge days 31-365 using a multivariable extended Cox regression model. Sensitivity analysis examined risk factors for overdose for postdischarge days 0-30. RESULTS: Incidence of overdose was 11-fold greater from postdischarge days 0-30 than days 31-365: 26.3 events/person-year (N = 68) vs 2.4 events/person-year (N = 476; IRR = 10.80, 95% confidence interval [CI] = 8.37-13.92). Higher-intensity opioid use was associated with increasing risk of overdose for the year after surgery, with the highest risk for the short- and long-acting group (hazard ratio = 4.84, 95% CI = 3.28-7.14). Delirium (IRR = 10.66, 95% CI = 7.96-14.29) was also associated with higher opioid intensity. CONCLUSIONS: Surgical patients should be treated with the lowest effective intensity of opioids and be monitored to prevent opioid-related adverse events.

"I had to change so much in my life to live with my new limitations": Multimorbid patients' descriptions of their most bothersome chronic conditions.

Objective To characterize diseases that are described as most bothersome by individuals with multiple chronic conditions and to identify themes that characterize their experiences with their most bothersome condition. Methods In a survey of patients at an academic center and a Veterans Affairs hospital, we asked individuals with multiple chronic conditions to identify their most bothersome chronic condition and describe why it is challenging. Standard content analysis methods were used to code responses and identify themes reflecting characteristics of most bothersome conditions. Results The most commonly cited bothersome conditions were chronic pain (52%), diabetes (43%), post-traumatic stress disorder (25%), heart failure (24%), and lung problems (20%). Conditions were described as most bothersome due to: (a) impact on function and quality of life (e.g. active symptoms, activity limitations), (b) health consequences or sequelae (e.g. risk of complications), and (c) challenges associated with treatment or self-management. Patterns of theme dominance varied for conditions with different characteristics. Discussion The conditions that patients with multiple chronic conditions identify as most bothersome vary depending on individuals' diseases and their health-related preferences and priorities. Ascertaining patients' most bothersome conditions and associated challenges, stress, and frustrations may help ensure that management decisions are aligned with patient preferences and priorities.