Headache/migraine-related stigma, quality of life, disability, and most bothersome symptom in adults with current versus previous high-frequency headache/migraine and medication overuse: results of the Migraine Report Card survey.

BACKGROUND: High-frequency headache/migraine (HFM) and overuse of acute medication (medication overuse [MO]) are associated with increased disability and impact. Experiencing both HFM and MO can potentially compound impacts, including stigma; however, evidence of this is limited. The objective of this report was to evaluate self-reported stigma, health-related quality of life (HRQoL), disability, and migraine symptomology in US adults with HFM + MO from the Harris Poll Migraine Report Card survey. METHODS: US adults (≥ 18 yrs., no upper age limit) who screened positive for migraine per the ID Migraine™ screener completed an online survey. Participants were classified into "current HFM + MO" (≥ 8 days/month with headache/migraine and ≥ 10 days/month of acute medication use over last few months) or "previous HFM + MO" (previously experienced HFM + MO, headaches now occur ≤ 7 days/month with ≤ 9 days/month of acute medication use). Stigma, HRQoL, disability, and most bothersome symptom (MBS) were captured. The validated 8-item Stigma Scale for Chronic Illnesses (SSCI-8) assessed internal and external stigma (scores ≥ 60 are clinically significant). Raw data were weighted to the US adult population. Statistically significant differences were determined by a standard t-test of column proportions and means at the 90% (p < 0.1) and 95% (p < 0.05) confidence levels. RESULTS: Participants (N = 550) were categorized as having current (n = 440; mean age 41.1 years; 54% female; 57% White, not Hispanic; 24% Hispanic; 11% Black, not Hispanic) or previous (n = 110; mean age 47.2 years; 49% female; 75% White, not Hispanic; 13% Hispanic; 4% Black, not Hispanic) HFM + MO. Compared to those with previous HFM + MO (21%), adults with current HFM + MO were more likely to experience clinically significant levels of stigma (47%). Men with current HFM + MO (52% compared to men with previous HFM + MO [25%] and women with current [41%] or previous [18%] HFM + MO), non-Hispanic Black (51% compared to White, not Hispanic [45%] and Hispanic [48%] current HFM + MO groups and White, not Hispanic previous HFM + MO [12%]), current HFM + MO aged 18-49 years (50% compared to those with current HFM + MO aged ≥ 50 years [33%] and those with previous HFM + MO aged 18-49 [34%] and ≥ 50 years [4%]), and employed respondents (53% current and 29% previous compared to those not employed [32% current and 12% previous]) reported higher rates of clinically significant stigma. Those with current HFM + MO were more likely to have worse HRQoL and disability due to headache/migraine. Respondents aged ≥ 50 years with current HFM + MO were more likely than respondents aged 18-49 years with current HFM + MO to indicate that their overall quality of life (66% vs. 52%) and their ability to participate in hobbies/activities they enjoy were negatively impacted by headache/migraine (61% vs. 49%). Pain-related symptoms were identified as the MBS. CONCLUSIONS: Together these data suggest that current and previous HFM + MO can be associated with undesirable outcomes, including stigma and reduced HRQoL, which were greatest among people with current HFM + MO, but still considerable for people with previous HFM + MO.

Harris Poll Migraine Report Card: population-based examination of high-frequency headache/migraine and acute medication overuse.

BACKGROUND: Migraine is a disabling neurologic disease that can fluctuate over time in severity, frequency, and acute medication use. Harris Poll Migraine Report Card was a US population-based survey to ascertain quantifiable distinctions amongst individuals with current versus previous high-frequency headache/migraine and acute medication overuse (HFM+AMO). The objective of this report is to compare self-reported experiences in the migraine journey of adults with HFM+AMO to those who previously experienced HFM+AMO but currently have a sustained reduction in headache/migraine frequency and acute medication use. METHODS: An online survey was available to a general population panel of adults (≥18 years) with migraine per the ID Migraine™ screener. Respondents were classified into "current HFM+AMO" (within the last few months had ≥8 headache days/month and ≥10 days/month of acute medication use; n=440) or "previous HFM+AMO" (previously had HFM+AMO, but within the last few months had ≤7 headache days/month and ≤9 days/month of acute medication use; n=110). Survey questions pertained to demographics, diagnosis, living with migraine, healthcare provider (HCP) communication, and treatment. RESULTS: Participants in the current HFM+AMO group had 15.2 monthly headache days and 17.4 days of monthly acute medication use in last few months compared to 4.2 and 4.1 days for the previous HFM+AMO group, respectively. Overall, current preventive pharmacologic treatment use was low (15-16%; P>0.1 for current vs previous) in both groups. Previous HFM+AMO respondents reported better current acute treatment optimization. More respondents with current (80%) than previous HFM+AMO (66%) expressed concern with their current health (P<0.05). More than one-third of both groups wished their HCP better understood their mental/emotional health (current 37%, previous 35%; P>0.1 for current vs previous) and 47% (current) to 54% (previous) of respondents worried about asking their HCP too many questions (P>0.1 for current vs previous). CONCLUSION: Apart from optimization of acute medication, medical interventions did not significantly differentiate between the current and previous HFM+AMO groups. Use of preventive pharmacological medication was low in both groups. Adults with current HFM+AMO more often had health concerns, yet both groups expressed concerns of disease burden. Optimization of acute and preventive medication and addressing mental/emotional health concerns of patients are areas where migraine care may impact outcomes regardless of their disease burden.

Structural equation modeling for identifying the drivers of health-related quality of life improvement experienced by patients with migraine receiving eptinezumab.

BACKGROUND: As new migraine therapies emerge, it is crucial for measures to capture the complexities of health-related quality of life (HRQoL) improvement beyond improvements in monthly migraine day (MMD) reduction. Investigations into the correlations between MMD reduction, symptom management, and HRQoL are lacking, particularly those that focus on improvements in canonical symptoms and improvement in patient-identified most-bothersome symptoms (PI-MBS), in patients treated with eptinezumab. This exploratory analysis identified efficacy measures mediating the effect of eptinezumab on HRQoL improvements in patients with migraine. METHODS: Data from the DELIVER study of patients with 2-4 prior preventive migraine treatment failures (NCT04418765) were inputted to two structural equation models describing sources of HRQoL improvement via Migraine-Specific Quality-of-Life Questionnaire (MSQ) scores. A single latent variable was defined to represent HRQoL and describe the sources of HRQoL in DELIVER. One model included all migraine symptoms while the second model included the PI-MBS as the only migraine symptom. Mediating variables capturing different aspects of efficacy included MMDs, other canonical symptoms, and PI-MBS. RESULTS: In the first model, reductions in MMDs and other canonical symptoms accounted for 35% (standardized effect size [SES] - 0.11) and 25% (SES - 0.08) of HRQoL improvement, respectively, with 41% (SES - 0.13) of improvement comprising "direct treatment effect," i.e., unexplained by mediators. In the second model, substantial HRQoL improvement with eptinezumab (86%; SES - 0.26) is due to MMD reduction (17%; SES - 0.05) and change in PI-MBS (69%; SES - 0.21). CONCLUSIONS: Improvements in HRQoL experienced by patients treated with eptinezumab can be substantially explained by its effect on migraine frequency and PI-MBS. Therefore, in addition to MMD reduction, healthcare providers should discuss PI-MBS improvements, since this may impact HRQoL. Health technology policymakers should consider implications of these findings in economic evaluation, as they point to alternative measurement of quality-adjusted life years to capture fully treatment benefits in cost-utility analyses. TRIAL REGISTRATION: ClinicalTrials.gov (Identifier: NCT04418765 ; EudraCT (Identifier: 2019-004497-25; URL: https://www.clinicaltrialsregister.eu/ctr-search/search?query=2019-004497-25 ).

Early clinical experience with eptinezumab: results of a retrospective observational study of patient response in the United States.

BACKGROUND: The efficacy and safety of eptinezumab for preventive migraine treatment in adults have been demonstrated in multiple, large-scale clinical trials. This non-interventional, retrospective, observational chart review was conducted to examine patient response to eptinezumab 100 mg or 300 mg every 12 weeks for 6 months in the clinical setting. METHODS: Eight headache specialists who reported early clinical experience with eptinezumab enrolled the first adults (1-6 adults per clinician; age ≥ 18 years) who met predefined selection criteria (including ≥ 12-month history of migraine, ≥ 4 migraine days/month prior to eptinezumab initiation, receipt of ≥ 2 consecutive eptinezumab doses, and ≥ 12-week follow-up period), and provided detailed patient, disease, treatment, and outcome information via SurveyMonkey and standardized case-report forms. RESULTS: Charts from 31 adults (median age, 49 years) with migraine (93.6% chronic) who received eptinezumab for the preventive treatment of migraine were reviewed. Most patients (26/31 [83.9%]) were initiated at 100 mg. Eptinezumab reduced mean headache frequency (24.3 monthly headache days [MHDs] at baseline; 17.1 MHDs at Month 6); mean migraine frequency (17.3 monthly migraine days [MMDs] at baseline; 9.1 MMDs at Month 6); attack severity (17/31 [54.8%] patients); acute headache medication use (12.5 acute medication days at baseline; 7.4 at Month 6); and patient-reported disability (11/22 [50.0%] severe at baseline; 7/19 [36.8%] at Month 6). More than three-quarters of patients (24/31 [77.4%]) perceived improved disability/function and most (30/31 [96.8%]) perceived eptinezumab to be well tolerated after 6 months. Most of the headache specialists reported that eptinezumab was well tolerated by patients (30/31 [96.8%]) and that the intravenous infusion experience was not challenging. CONCLUSIONS: Patients with migraine who received 6 months of preventive treatment with eptinezumab experienced reductions in migraine and headache frequency, disability, and acute medication use during the course of treatment.

Patient preferences for attributes of injected or infused preventive migraine medications: Findings from a discrete choice experiment.

OBJECTIVE: To assess preferences among adults with migraine for differentiating attributes of injected or infused preventive treatment options and evaluate their importance in determining a treatment choice. BACKGROUND: Adults with migraine and health-care providers consider many factors when making treatment decisions. Injected or infused preventive migraine treatment options differ in several attributes, including mode of administration and dosing frequency, which may be preferentially selected or avoided by patients. Understanding a patient's preference is important for clinicians as they advise on various treatment options. METHODS: A total of 604 US adults diagnosed with migraine participated in an online survey that captured information on demographics, migraine history, and treatment preferences. A discrete choice experiment (DCE) was used to evaluate participants' preferences for specific attributes of injected/infused preventive migraine therapies. The DCE data were utilized to estimate attribute importance (expressed as a percentage) and identify subgroups that had different distributions of preferences. RESULTS: In the overall migraine population, mode of administration (28.8%), durability of effectiveness (27.0%), and speed of onset (25.5%) had the highest relative importance, whereas administration setting (9.9%) and dosing frequency (8.8%) had the lowest. Four distinct subgroups were identified: Group 1 (n = 128) preferred self-injection administration and durability of effectiveness; Group 2 (n = 189) expressed aversion to cranial injections; Group 3 (n = 158) prioritized rapid speed of onset; and Group 4 (n = 129) favored health-care provider administration and durability of effectiveness. CONCLUSIONS: Speed of onset, durability of effectiveness, and mode of administration are key moderators of treatment preference among US adults with migraine. Certain segments of the migraine population prioritize specific treatment attributes over others, with intravenous infusion not considered a barrier in three of four identified segments. Clinicians can best help their patients find the right medication if they understand which medication attributes are most and least important to them.

Using artificial intelligence to identify patients with migraine and associated symptoms and conditions within electronic health records.

BACKGROUND: Real-world evidence (RWE)-based on information obtained from sources such as electronic health records (EHRs), claims and billing databases, product and disease registries, and personal devices and health applications-is increasingly used to support healthcare decision making. There is variability in the collection of EHR data, which includes "structured data" in predefined fields (e.g., problem list, open claims, medication list, etc.) and "unstructured data" as free text or narrative. Healthcare providers are likely to provide more complete information as free text, but extracting meaning from these fields requires newer technologies and a rigorous methodology to generate higher-quality evidence. Herein, an approach to identify concepts associated with the presence and progression of migraine was developed and validated using the complete patient record in EHR data, including both the structured and unstructured portions. METHODS: "Traditional RWE" approaches (i.e., capture from structured EHR fields and extraction using structured queries) and "Advanced RWE" approaches (i.e., capture from unstructured EHR data and processing by artificial intelligence [AI] technology, including natural language processing and AI-based inference) were evaluated against a manual chart abstraction reference standard for data collected from a tertiary care setting. The primary endpoint was recall; differences were compared using chi square. RESULTS: Compared with manual chart abstraction, recall for migraine and headache were 66.6% and 29.6%, respectively, for Traditional RWE, and 96.8% and 92.9% for Advanced RWE; differences were statistically significant (absolute differences, 30.2% and 63.3%; P < 0.001). Recall of 6 migraine-associated symptoms favored Advanced RWE over Traditional RWE to a greater extent (absolute differences, 71.5-88.8%; P < 0.001). The difference between traditional and advanced techniques for recall of migraine medications was less pronounced, approximately 80% for Traditional RWE and ≥ 98% for Advanced RWE (P < 0.001). CONCLUSION: Unstructured EHR data, processed using AI technologies, provides a more credible approach to enable RWE in migraine than using structured EHR and claims data alone. An algorithm was developed that could be used to further study and validate the use of RWE to support diagnosis and management of patients with migraine.

Persistence to anti-CGRP monoclonal antibodies and onabotulinumtoxinA among patients with migraine: a retrospective cohort study.

BACKGROUND: To date, real-world evidence on persistence to anti-calcitonin gene-related peptide (anti-CGRP) monoclonal antibodies (mAbs) or onabotulinumtoxinA have excluded eptinezumab. This retrospective cohort study was performed to compare treatment persistency among patients with migraine on anti-CGRP mAbs (erenumab, fremanezumab, galcanezumab, or eptinezumab) or onabotulinumtoxinA. METHODS: This retrospective study used IQVIA PharmMetrics data. Adult patients with migraine treated with an anti-CGRP mAb or onabotulinumtoxinA who had 12 months of continuous insurance enrollment before starting treatment were included. A "most recent treatment episode" analysis was used in which the most recent episode was defined as the latest treatment period with the same drug (anti-CGRP mAb or onabotulinumtoxinA) without a ≥ 15-day gap in medication supply on/after June 25, 2020, to December 31, 2021. Patients were indexed at the start of their most recent episode. Patients were considered non-persistent and discontinued the therapy associated with their most recent episode if there was ≥ 15-day gap in medication supply. A Cox proportional-hazards model estimated the discontinuation hazard between treatments. The gap periods and cohort definition were varied in sensitivity analyses. RESULTS: The study included 66,576 patients (median age 46 years, 88.6% female). More eptinezumab-treated patients had chronic migraine (727/1074), ≥ 3 previous acute (323/1074) or preventive (333/1074) therapies, and more prior treatment episodes (3) than other treatment groups. Based on a 15-day treatment gap, patients on subcutaneous anti-CGRP mAbs had a 32% (95% CI: 1.19, 1.49; erenumab), 42% (95% CI: 1.27, 1.61; galcanezumab), and 58% (95% CI: 1.42, 1.80; fremanezumab) higher discontinuation hazard than those receiving eptinezumab, with this relationship attenuated, but still statistically significant based on 30-day and 60-day treatment gaps. There was no significant difference in the discontinuation hazard between eptinezumab and onabotulinumtoxinA. Based on a 15-day treatment gap among patients who newly initiated therapy, the discontinuation hazard of subcutaneous anti-CGRP mAbs remained significantly higher compared to eptinezumab and onabotulinumtoxinA. CONCLUSION: Patients treated with eptinezumab demonstrated persistency that was higher than subcutaneous anti-CGRP mAbs and similar to onabotulinumtoxinA.

Development and validation of a novel model for characterizing migraine outcomes within real-world data.

BACKGROUND: In disease areas with 'soft' outcomes (i.e., the subjective aspects of a medical condition or its management) such as migraine or depression, extraction and validation of real-world evidence (RWE) from electronic health records (EHRs) and other routinely collected data can be challenging due to how the data are collected and recorded. In this study, we aimed to define and validate a scalable framework model to measure outcomes of migraine treatment and prevention by use of artificial intelligence (AI) algorithms within EHR data. METHODS: Headache specialists defined descriptive features based on routinely collected clinical data. Data elements were weighted to define a 10-point scale encompassing headache severity (1-7 points) and associated features (0-3 points). A test data set was identified, and a reference standard was manually produced by trained annotators. Automation (i.e., AI) was used to extract features from the unstructured data of patient encounters and compared to the reference standard. A threshold of 70% close agreement (within 1 point) between the automated score and the human annotator was considered to be a sufficient extraction accuracy. The accuracy of AI in identifying features used to construct the outcome model was also evaluated and success was defined as achieving an F1 score (i.e., the weighted harmonic mean of the precision and recall) of 80% in identifying encounters. RESULTS: Using data from 2,006 encounters, 11 features were identified and included in the model; the average F1 scores for automated extraction were 92.0% for AI applied to unstructured data. The outcome model had excellent accuracy in characterizing migraine status with an exact match for 77.2% of encounters and a close match (within 1 point) for 82.2%, compared with manual extraction scores-well above the 70% match threshold set prior to the study. CONCLUSION: Our findings indicate the feasibility of technology-enabled models for validated determination of soft outcomes such as migraine progression using the data elements typically captured in the real-world clinical setting, providing a scalable approach to credible EHR-based clinical studies.

Who Would Pay Higher Taxes for Better Mental Health? Results of a Large-Sample National Choice Experiment.

Policy Points  Public funding for mental health programs must compete with other funding priorities in limited state budgets.  Valuing state-funded mental health programs in a policy-relevant context requires consideration of how much benefit from other programs the public is willing to forgo to increase mental health program benefits and how much the public is willing to be taxed for such program benefits.  Taxpayer resistance to increased taxes to pay for publicly funded mental health programs and perceived benefits of such programs vary with state population size.  In all states, taxpayers seem to support increased public funding for mental health programs such as state Medicaid services, suggesting such programs are underfunded from the perspective of the average taxpayer. CONTEXT: The direct and indirect impacts of serious mental illness (SMI) on health care systems and communities represents a significant burden. However, the value that community members place on alleviating this burden is not known, and SMI treatment must compete with a long list of other publicly funded priorities. This study defines the value of public mental health interventions as what the public would accept, either in the form of higher taxes or in reductions in nonhealth programs, in return for increases in the number of mental health program beneficiaries. METHODS: We developed and fielded a best-practice discrete-choice experiment survey to quantify respondents' willingness to be taxed for increased spending among several competing programs, including a program for treating severe mental health conditions. A realistic decision frame was used to elicit respondents' willingness to support expanded state budgets for mental health programs if that expansion required either cuts in the competing publicly financed programs or tax increases. The survey was administered to a general population national sample of 10,000 respondents. FINDINGS: Nearly half the respondents in our sample either chose "no budget increase" for all budget scenarios or had preferences that were too disordered to estimate trade-off values. Including zero values for those respondents, we found that the mean (median) amount that all respondents were willing to be taxed annually for public mental health programs ranged between $156 ($99) per year for large-population states and $343 ($181) per year for small-population states. Respondents would accept reductions of between 1.6 and 3.4 beneficiaries in other programs in return for 1 additional mental health program beneficiary. CONCLUSIONS: Our results are consistent with findings that a substantial portion of the US public is unwilling to pay higher taxes. Nevertheless, even including the substantial number of respondents who opposed any tax increase, the willingness of both the mean and median respondent to be taxed for mental health program expansions implies that programs providing mental health services such as state Medicaid are underfunded.

Experiences, attitudes, and perceptions of caregivers of individuals with treatment-resistant schizophrenia: a qualitative study.

BACKGROUND: Treatment-resistant schizophrenia (TRS) affects about one-third of individuals with schizophrenia. People with TRS do not experience sustained symptom relief and at the same time have the most severe disease-related disability and associated costs among individuals with severe mental disorders. Like caregivers of people with treatment-responsive schizophrenia, caregivers of individuals with TRS experience the disease burden along with their care recipients; however, for those providing care for individuals with TRS, the stress of the burden is unrelenting due to uncontrolled symptoms and a lack of effective treatment options. The objective of this study is to better understand the burden of TRS from the caregiver perspective and to explore their perception of available treatments. METHODS: Eight focus groups with non-professional, informal caregivers of individuals with TRS were conducted in 5 US locations. TRS was defined as failure of ≥2 antipsychotics and persistent moderate-to-severe positive symptoms of schizophrenia, per caregiver report. RESULTS: The 27 caregivers reported an average of 37 h/week providing direct care, and 21 reported being on call "24/7." Caregivers commonly reported that their care recipients exhibited symptoms of auditory hallucinations (89%), agitation/irritability/hostility (81%), suspiciousness (78%), tangentiality (74%), and cognitive impairment (74%); 70% of caregivers ranked suspiciousness/persecution as the most challenging symptom category. Caring for an individual with TRS impacted many caregivers' finances, career prospects, social relationships, and sense of freedom. Additionally, multiple medication failures led to a sense of hopelessness for many caregivers. CONCLUSIONS: Persistent positive symptoms caused significant perceived burden, feelings of being overwhelmed and having no relief, and substantial negative impacts on caregivers' emotional and physical health. To address these substantial unmet needs, policy makers should be aware of the need for practical, social, and emotional support for these caregivers and their families. Additionally, new treatment options for TRS should be developed.

Impact of CVS Pharmacy's Discontinuance of Tobacco Sales on Cigarette Purchasing (2012-2014).

OBJECTIVES: To assess the impact of CVS Health's discontinuation of tobacco sales on cigarette purchasing. METHODS: We used households' purchasing data to assess rates at which households stopped cigarette purchasing for at least 6 months during September 2014 to August 2015 among 3 baseline groups: CVS-exclusive cigarette purchasers, CVS+ (CVS and other retailers), and other-exclusive (only non-CVS retailers). In state-level analyses using retailers' point-of-sale purchase data, an interrupted time series compared cigarette purchasing before (January 2012 to August 2014) and after (September 2014 to April 2015) tobacco removal in 13 intervention states with CVS market share of at least 15% versus 3 control states with no CVS stores. RESULTS: Compared with other-exclusive purchasers, CVS-exclusive purchasers were 38% likelier (95% confidence interval = 1.06, 1.81) to stop cigarette purchasing after tobacco removal. Compared with control states, intervention states had a significant mean decrease of 0.14 (95% confidence interval = 0.06, 0.22) in packs per smoker per month. CONCLUSIONS: After CVS's tobacco removal, household- and population-level cigarette purchasing declined significantly. Private retailers can play a meaningful role in restricting access to tobacco. This highlights one approach to reducing tobacco use and improving public health.

The adherence impact of a program offering specialty pharmacy services to patients using retail pharmacies.

BACKGROUND: A new service model integrates the specialty pharmacy's comprehensive service with the retail pharmacy's patient contact, giving patients options for medication delivery to home, pharmacy, or doctor's office. OBJECTIVE: Evaluate the impact of the new service model on medication adherence. DESIGN: Retrospective cohort study SETTINGS: One hundred fifteen CVS retail stores in Philadelphia participated in a pilot from May 2012 to October 2013, and 115 matched CVS retail stores from around the nation served as controls. PATIENTS: All eligible patients from the intervention and control stores received specialty medications through CVS retail pharmacies prior to implementation of the new service model. INTERVENTION: The intervention patients were transitioned from retail pharmacy service to the specialty pharmacy with delivery options. The control patients received standard retail pharmacy services. MAIN OUTCOME MEASURES: Proportion of days covered and first fill persistence were tracked for 12 months before and after program implementation. RESULTS: Under the new service model, 228 patients new to therapy in the post period had a 17.5% increase in the rate of obtaining a second fill as compared to matched controls. Patients on therapy in both the pre- and the post-periods had a pre-post increase of 6.6% in average adherence rates and a pre-post increase of 10.8% in optimal adherence rates as compared to 326 matched controls. CONCLUSION: The study demonstrated significant improvement in both adherence to therapy and first-fill persistence among patients in the new service model integrating specialty pharmacy's comprehensive services with the retail pharmacy's patient contact and medication delivery choices.

Comparison of two platelet transfusion strategies to minimize ABO-nonidentical transfusion, outdating, and shortages using a computer-simulated "virtual blood bank".

BACKGROUND: Transfusion of ABO-incompatible platelets (PLTs) is associated with reduced PLT recovery and a risk of transfusion reactions. However, a policy of transfusing only ABO-identical PLTs may increase wastage due to product outdating. A prospective study attempting to compare the effects of different ABO compatibility strategies could be costly and disruptive to a blood bank's operations. STUDY DESIGN AND METHODS: We designed a "virtual blood bank," a stochastic computer program that models the stocking and release of products to meet demand for PLT transfusion in a simulated hospital population. ABO-nonidentical transfusions (ABOni), outdates, and inventory shortages were recorded and compared under two different transfusion strategies: ABO-First, a strategy that prioritizes transfusion of ABO-identical PLTs, and Age-First, a strategy that minimizes outdating by transfusing products closest to expiration. RESULTS: The ABO-First strategy resulted in fewer ABOni but more outdates than the Age-First strategy. Under conditions that mimic a large hospital blood bank, the ABO-First strategy was more cost-effective overall than the Age-First strategy if avoiding an ABOni is valued at more than $19 to $26. For a small blood bank, the ABO-First strategy was more cost-effective if avoiding an ABOni is valued at more than $104 to $123. CONCLUSION: Based on a virtual blood bank computer simulation, the cost of avoiding an ABOni using the ABO-First strategy varies greatly by size of institution. Individual blood banks must carefully consider these management strategies to determine the most cost-effective solution.

Delayed opportunities for patient-provider communication about medication overuse headache: Mixed methods perspectives from patients and neurologists.

Objectives: Medication overuse headache (MOH) is a common, debilitating condition occurring when migraine patients overuse pain relief medications. We conducted a convergent mixed methods study examining patient-provider communication on MOH. Methods: Migraine patients were identified from one academic health center via electronic health records. Research staff recruited patients and administered a remote survey on MOH awareness, knowledge, and communication; descriptive and bivariate analyses were conducted. Neurologists from the same health center were invited to participate in qualitative interviews; analysis drew from the Rapid Identification of Themes from Audio Recordings procedures. A side-by-side comparison of results followed. Results: Participants included 200 patients and 13 neurologists. More than one third of patients (39.5 %) had never heard of 'medication overuse headache.' Among those who had, 38.4 % learned about MOH ≥ 5 years after their migraine diagnosis. Neurologists similarly reported limited patient awareness of MOH and suggested communication was provider-initiated, reactive to patient-reported symptoms and behaviors. Participants agreed MOH was described as a 'consequence' of frequent medication taking, though specific terminology varied with neurologists suggesting they choose terms they perceive to be easier to understand and less stigmatizing to patients. Neurologists felt they lacked effective patient education resources. Conclusions: Findings reveal delayed opportunities to inform patients about MOH. Standardized education supporting early preventive communication is needed, perhaps in primary care where many patients seek initial care for migraine symptoms.

Association between awareness and knowledge of medication-overuse headache with medication-taking behavior among adults with migraine.

Frequent use of pain relief medications among patients with migraine can result in disease worsening and medication-overuse headache (MOH), a painful and debilitating condition. We sought to conduct a cross-sectional survey among adult patients diagnosed with migraine to determine: 1) their awareness of MOH, and 2) their knowledge of the condition and its prevention, and 3) the association of these factors with actual use of pain relief medications. We recruited and interviewed 200 English-speaking adults with migraine who had a clinic visit with a neurologist or primary care provider within the past month. Patients were identified via an electronic health record query. Almost 40% of participants had never heard of the term 'medication-overuse headache.' In bivariate analyses, participants who were Black or Hispanic and those with limited health literacy were less likely to have heard of MOH. Participants scored an average of 2.1 (range: 0-3) on a MOH knowledge measure; older participants, those with limited health literacy, lower education, and little or no migraine-related disability demonstrated less knowledge. Almost a third (31.5%) of patients reported overusing pain relief medication and were at risk for MOH. Overuse was not significantly associated with MOH awareness, knowledge, or sociodemographic factors, but was related to greater migraine-related disability. Our findings suggest that patient awareness and knowledge of MOH is suboptimal, particularly among older adults, racial and ethnic minority groups, and those with limited health literacy. Interventions are needed to prevent MOH and better inform patients about risks associated with frequent use of pain relief medications.

The burden of hip osteoarthritis in the United States: epidemiologic and economic considerations.

Osteoarthritis (OA) is a common and disabling disease. Because of improved treatment of chronic diseases and lower mortality from infectious diseases, the US population is aging, and older Americans are living with disabling conditions, including hip OA. The projected number of older adults with arthritis or other chronic musculoskeletal joint symptoms is expected to nearly double, from 21.4 million in 2005 to 41.1 million by 2030. The burden of hip OA is increasing due to the aging population and the obesity crisis; as a result, the need for total hip arthroplasty (THA) is expected to grow 174%, to 572,000 primary THAs per year by 2030 in the United States. Prior projections appear to have underestimated the actual number of primary and revision THAs that are in demand.

Modeling asthma exacerbations through lung function in children.

BACKGROUND: Formal economic evaluation using a model-based approach is playing an increasingly important role in health care decision making. OBJECTIVE: To develop a model by using an objective measure of lung function-- prebronchodilator FEV(1) as a percent of predicted (FEV(1)% predicted)--as the primary independent factor to predict the frequency of adverse events related to the exacerbation of asthma on a population level. METHODS: We developed a Markov simulation model of childhood asthma by using data from the Childhood Asthma Management Program. The primary outcomes were the result of asthma exacerbations defined as hospitalizations, emergency department (ED) visits, and the need for oral corticosteroid therapy. Predicted monthly frequencies for each acute event were based on negative binomial regression equations estimated from the placebo arm of the Childhood Asthma Management Program with covariates of age, prebronchodilator FEV(1)% predicted, time in study, prior hospitalizations, and prior nocturnal awakenings. RESULTS: Simulated versus observed mean number of acute events were similar within the placebo and treatment groups. While the trial demonstrated treatment effects of 48% reduction in hospitalizations, 46% reduction in ED visits, and 44% reduction in the need for oral corticosteroid therapy at 48 months, the model simulated similar reductions of 49% in hospitalizations, 41% in ED visits, and 46% in the need for oral corticosteroid therapy. CONCLUSIONS: Our findings suggest that longitudinal intervention effects may be modeled through FEV(1)% predicted to estimate hospitalizations, ED visits, and need for oral corticosteroid therapy in childhood asthma for planning and evaluation purposes.

Cost benefit analysis of mesh reinforcement of stapled left pancreatectomy.

OBJECTIVES: Pancreatic leak is a morbid complication following left pancreatectomy, which results in prolonged hospitalization, additional diagnostic testing and invasive procedures. The present authors have previously demonstrated that mesh reinforcement of stapled left pancreatectomy results in fewer pancreatic leaks. This study was conducted to investigate whether mesh reinforcement also results in cost benefits for the health care system. METHODS: A cost benefit model was developed to estimate net cost savings from the payer's perspective. The model is based on the results of a randomized, single-blinded trial of mesh versus no mesh reinforcement of the pancreatic remnant after left pancreatectomy. A two-way sensitivity analysis was conducted to determine the model's sensitivity to fluctuations in the cost of mesh and the effectiveness of the mesh in reducing clinically significant leaks. RESULTS: Average total costs for an episode of care were US$13 337 and US$15 505 for patients who did and did not receive mesh, respectively, which indicates savings of US$2168. Two-way sensitivity analysis showed that, given a probability of 1.9% for developing a clinically significant leak in patients in whom mesh reinforcement was used, the strategy would continue to save costs if mesh were priced at ≤US$1804. CONCLUSIONS: Mesh reinforcement decreases clinically significant pancreatic leaks. Despite the additional cost of mesh reinforcement, the use of mesh reinforcement results in overall cost savings for the health care system because of the resultant decrease in the occurrence of clinically significant leaks.

Comparison of indirect treatment methods in migraine prevention to address differences in mode of administration.

Aim: Indirect treatment comparisons (ITCs) are anchored on a placebo comparator, and the placebo response may vary according to drug administration route. Migraine preventive treatment studies were used to evaluate ITCs and determine whether mode of administration influences placebo response and the overall study findings. Materials & methods: Change from baseline in monthly migraine days produced by monoclonal antibody treatments (subcutaneous, intravenous) was compared using fixed-effects Bayesian network meta-analysis (NMA), network meta-regression (NMR), and unanchored simulated treatment comparison (STC). Results: NMA and NMR provide mixed, rarely differentiated results between treatments, whereas unanchored STC strongly favors eptinezumab over other preventive treatments. Conclusion: Further investigations are needed to determine which ITC best reflects the impact of mode of administration on placebo.

Relationships between headache frequency, disability, and disability-related unemployment among adults with migraine.

BACKGROUND: Migraine is the second most common cause of disability worldwide. Understanding the relationship between migraine and employment status is critical for policymakers, as disability-related unemployment is associated with eligibility for private or governmental disability insurance payments and other associated support for those unable to work because of disability. OBJECTIVE: To assess the association between migraine frequency and selfreported employment status and overall disability in a US representative survey. METHODS: Using data from the 2019 National Health and Wellness Survey (NHWS) (Kantar Health), adults in the United States (aged 18-65 years) reporting at least 1 migraine day in the past 30 days were categorized by headache frequency: low-frequency episodic migraine (LFEM) (≤4 days/month), moderate-frequency EM (MFEM) (5-9 days/month), high-frequency EM (HFEM) (10-14 days/month), or chronic migraine (CM) (≥15 days/month). A control group of adults without migraine with similar baseline characteristics was identified by propensity score matching. Disability-related unemployment was defined as participants responding "short-term disability" or "long-term disability" to occupational status on the NHWS. The frequency of short- or long-term disability was then evaluated across headache frequency groups. In addition, participants were asked to assess migraine-related disability via the Migraine Disability questionnaire (MIDAS). RESULTS: A total of 1,962 respondents with LFEM, 987 with MFEM, 554 with HFEM, and 926 with CM were included in this analysis, along with 4,429 matched controls. Headache frequency was associated both with increased MIDAS score and with employment disability (P < 0.001); 12.3% (n = 114 of 926) of participants with CM reported employment disability, as did 4.4% (n = 86 of 1,962) of the LFEM group and 6.9% (n = 306 of 4,429) of matched controls. There was considerable discordance between the proportion of participants classified as disabled via MIDAS vs those reporting employment-related disability. CONCLUSIONS: More frequent migraine headaches are associated with a higher likelihood of self-reported short- and long-term employment disability and overall migraine-related disability, suggesting that health and economic policymakers must seek ways to maximize the employment opportunities for people living with migraine that may benefit from novel preventive treatments. DISCLOSURES: Robert E Shapiro is a research consultant for Eli Lilly and Lundbeck. Ashley A Martin and Martine C Maculaitis are employees of Cerner Enviza (formerly Kantar Health), which received payment from Lundbeck to conduct the research. Shiven Bhardwaj was an employee of Lundbeck at the time of study and manuscript development. Heather Thomson and Carlton Anderson are employees of Lundbeck. Steven M Kymes is an employee and stockholder of Lundbeck. Financial support for research conducted and manuscript preparation was provided by Lundbeck.